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Posted to commits@hivemall.apache.org by my...@apache.org on 2017/06/23 10:03:36 UTC
[01/41] incubator-hivemall-site git commit: Added descriptions about
Feature Pairing in the user guide
Repository: incubator-hivemall-site
Updated Branches:
refs/heads/asf-site f103c4247 -> ba518dabc
http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/ba518dab/userguide/troubleshooting/mapjoin_task_error.html
----------------------------------------------------------------------
diff --git a/userguide/troubleshooting/mapjoin_task_error.html b/userguide/troubleshooting/mapjoin_task_error.html
index ff1deba..642c480 100644
--- a/userguide/troubleshooting/mapjoin_task_error.html
+++ b/userguide/troubleshooting/mapjoin_task_error.html
@@ -598,14 +598,30 @@
</li>
- <li class="chapter " data-level="3.5" data-path="../ft_engineering/tfidf.html">
+ <li class="chapter " data-level="3.5" data-path="../ft_engineering/pairing.html">
- <a href="../ft_engineering/tfidf.html">
+ <a href="../ft_engineering/pairing.html">
<b>3.5.</b>
- TF-IDF Calculation
+ FEATURE PAIRING
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="3.5.1" data-path="../ft_engineering/polynomial.html">
+
+ <a href="../ft_engineering/polynomial.html">
+
+
+ <b>3.5.1.</b>
+
+ Polynomial Features
</a>
@@ -613,6 +629,11 @@
</li>
+
+ </ul>
+
+ </li>
+
<li class="chapter " data-level="3.6" data-path="../ft_engineering/ft_trans.html">
<a href="../ft_engineering/ft_trans.html">
@@ -664,6 +685,21 @@
</li>
+ <li class="chapter " data-level="3.7" data-path="../ft_engineering/tfidf.html">
+
+ <a href="../ft_engineering/tfidf.html">
+
+
+ <b>3.7.</b>
+
+ TF-IDF Calculation
+
+ </a>
+
+
+
+ </li>
+
@@ -761,7 +797,7 @@
- <li class="header">Part V - Prediction</li>
+ <li class="header">Part V - Supervised Learning</li>
@@ -780,27 +816,19 @@
</li>
- <li class="chapter " data-level="5.2" data-path="../regression/general.html">
-
- <a href="../regression/general.html">
-
-
- <b>5.2.</b>
-
- Regression
-
- </a>
-
-
- </li>
- <li class="chapter " data-level="5.3" data-path="../binaryclass/general.html">
+
+ <li class="header">Part VI - Binary classification</li>
+
+
+
+ <li class="chapter " data-level="6.1" data-path="../binaryclass/general.html">
<a href="../binaryclass/general.html">
- <b>5.3.</b>
+ <b>6.1.</b>
Binary Classification
@@ -810,21 +838,14 @@
</li>
-
-
-
- <li class="header">Part VI - Binary classification tutorials</li>
-
-
-
- <li class="chapter " data-level="6.1" data-path="../binaryclass/a9a.html">
+ <li class="chapter " data-level="6.2" data-path="../binaryclass/a9a.html">
<a href="../binaryclass/a9a.html">
- <b>6.1.</b>
+ <b>6.2.</b>
- a9a
+ a9a tutorial
</a>
@@ -833,12 +854,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.1.1" data-path="../binaryclass/a9a_dataset.html">
+ <li class="chapter " data-level="6.2.1" data-path="../binaryclass/a9a_dataset.html">
<a href="../binaryclass/a9a_dataset.html">
- <b>6.1.1.</b>
+ <b>6.2.1.</b>
Data preparation
@@ -848,12 +869,12 @@
</li>
- <li class="chapter " data-level="6.1.2" data-path="../binaryclass/a9a_lr.html">
+ <li class="chapter " data-level="6.2.2" data-path="../binaryclass/a9a_lr.html">
<a href="../binaryclass/a9a_lr.html">
- <b>6.1.2.</b>
+ <b>6.2.2.</b>
Logistic Regression
@@ -863,12 +884,12 @@
</li>
- <li class="chapter " data-level="6.1.3" data-path="../binaryclass/a9a_minibatch.html">
+ <li class="chapter " data-level="6.2.3" data-path="../binaryclass/a9a_minibatch.html">
<a href="../binaryclass/a9a_minibatch.html">
- <b>6.1.3.</b>
+ <b>6.2.3.</b>
Mini-batch Gradient Descent
@@ -883,14 +904,14 @@
</li>
- <li class="chapter " data-level="6.2" data-path="../binaryclass/news20.html">
+ <li class="chapter " data-level="6.3" data-path="../binaryclass/news20.html">
<a href="../binaryclass/news20.html">
- <b>6.2.</b>
+ <b>6.3.</b>
- News20
+ News20 tutorial
</a>
@@ -899,12 +920,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.2.1" data-path="../binaryclass/news20_dataset.html">
+ <li class="chapter " data-level="6.3.1" data-path="../binaryclass/news20_dataset.html">
<a href="../binaryclass/news20_dataset.html">
- <b>6.2.1.</b>
+ <b>6.3.1.</b>
Data preparation
@@ -914,12 +935,12 @@
</li>
- <li class="chapter " data-level="6.2.2" data-path="../binaryclass/news20_pa.html">
+ <li class="chapter " data-level="6.3.2" data-path="../binaryclass/news20_pa.html">
<a href="../binaryclass/news20_pa.html">
- <b>6.2.2.</b>
+ <b>6.3.2.</b>
Perceptron, Passive Aggressive
@@ -929,12 +950,12 @@
</li>
- <li class="chapter " data-level="6.2.3" data-path="../binaryclass/news20_scw.html">
+ <li class="chapter " data-level="6.3.3" data-path="../binaryclass/news20_scw.html">
<a href="../binaryclass/news20_scw.html">
- <b>6.2.3.</b>
+ <b>6.3.3.</b>
CW, AROW, SCW
@@ -944,12 +965,12 @@
</li>
- <li class="chapter " data-level="6.2.4" data-path="../binaryclass/news20_adagrad.html">
+ <li class="chapter " data-level="6.3.4" data-path="../binaryclass/news20_adagrad.html">
<a href="../binaryclass/news20_adagrad.html">
- <b>6.2.4.</b>
+ <b>6.3.4.</b>
AdaGradRDA, AdaGrad, AdaDelta
@@ -964,14 +985,14 @@
</li>
- <li class="chapter " data-level="6.3" data-path="../binaryclass/kdd2010a.html">
+ <li class="chapter " data-level="6.4" data-path="../binaryclass/kdd2010a.html">
<a href="../binaryclass/kdd2010a.html">
- <b>6.3.</b>
+ <b>6.4.</b>
- KDD2010a
+ KDD2010a tutorial
</a>
@@ -980,12 +1001,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.3.1" data-path="../binaryclass/kdd2010a_dataset.html">
+ <li class="chapter " data-level="6.4.1" data-path="../binaryclass/kdd2010a_dataset.html">
<a href="../binaryclass/kdd2010a_dataset.html">
- <b>6.3.1.</b>
+ <b>6.4.1.</b>
Data preparation
@@ -995,12 +1016,12 @@
</li>
- <li class="chapter " data-level="6.3.2" data-path="../binaryclass/kdd2010a_scw.html">
+ <li class="chapter " data-level="6.4.2" data-path="../binaryclass/kdd2010a_scw.html">
<a href="../binaryclass/kdd2010a_scw.html">
- <b>6.3.2.</b>
+ <b>6.4.2.</b>
PA, CW, AROW, SCW
@@ -1015,14 +1036,14 @@
</li>
- <li class="chapter " data-level="6.4" data-path="../binaryclass/kdd2010b.html">
+ <li class="chapter " data-level="6.5" data-path="../binaryclass/kdd2010b.html">
<a href="../binaryclass/kdd2010b.html">
- <b>6.4.</b>
+ <b>6.5.</b>
- KDD2010b
+ KDD2010b tutorial
</a>
@@ -1031,12 +1052,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.4.1" data-path="../binaryclass/kdd2010b_dataset.html">
+ <li class="chapter " data-level="6.5.1" data-path="../binaryclass/kdd2010b_dataset.html">
<a href="../binaryclass/kdd2010b_dataset.html">
- <b>6.4.1.</b>
+ <b>6.5.1.</b>
Data preparation
@@ -1046,12 +1067,12 @@
</li>
- <li class="chapter " data-level="6.4.2" data-path="../binaryclass/kdd2010b_arow.html">
+ <li class="chapter " data-level="6.5.2" data-path="../binaryclass/kdd2010b_arow.html">
<a href="../binaryclass/kdd2010b_arow.html">
- <b>6.4.2.</b>
+ <b>6.5.2.</b>
AROW
@@ -1066,14 +1087,14 @@
</li>
- <li class="chapter " data-level="6.5" data-path="../binaryclass/webspam.html">
+ <li class="chapter " data-level="6.6" data-path="../binaryclass/webspam.html">
<a href="../binaryclass/webspam.html">
- <b>6.5.</b>
+ <b>6.6.</b>
- Webspam
+ Webspam tutorial
</a>
@@ -1082,12 +1103,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.5.1" data-path="../binaryclass/webspam_dataset.html">
+ <li class="chapter " data-level="6.6.1" data-path="../binaryclass/webspam_dataset.html">
<a href="../binaryclass/webspam_dataset.html">
- <b>6.5.1.</b>
+ <b>6.6.1.</b>
Data pareparation
@@ -1097,12 +1118,12 @@
</li>
- <li class="chapter " data-level="6.5.2" data-path="../binaryclass/webspam_scw.html">
+ <li class="chapter " data-level="6.6.2" data-path="../binaryclass/webspam_scw.html">
<a href="../binaryclass/webspam_scw.html">
- <b>6.5.2.</b>
+ <b>6.6.2.</b>
PA1, AROW, SCW
@@ -1117,14 +1138,14 @@
</li>
- <li class="chapter " data-level="6.6" data-path="../binaryclass/titanic_rf.html">
+ <li class="chapter " data-level="6.7" data-path="../binaryclass/titanic_rf.html">
<a href="../binaryclass/titanic_rf.html">
- <b>6.6.</b>
+ <b>6.7.</b>
- Kaggle Titanic
+ Kaggle Titanic tutorial
</a>
@@ -1135,7 +1156,7 @@
- <li class="header">Part VII - Multiclass classification tutorials</li>
+ <li class="header">Part VII - Multiclass classification</li>
@@ -1146,7 +1167,7 @@
<b>7.1.</b>
- News20 Multiclass
+ News20 Multiclass tutorial
</a>
@@ -1257,7 +1278,7 @@
<b>7.2.</b>
- Iris
+ Iris tutorial
</a>
@@ -1319,18 +1340,33 @@
- <li class="header">Part VIII - Regression tutorials</li>
+ <li class="header">Part VIII - Regression</li>
- <li class="chapter " data-level="8.1" data-path="../regression/e2006.html">
+ <li class="chapter " data-level="8.1" data-path="../regression/general.html">
- <a href="../regression/e2006.html">
+ <a href="../regression/general.html">
<b>8.1.</b>
- E2006-tfidf regression
+ Regression
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="8.2" data-path="../regression/e2006.html">
+
+ <a href="../regression/e2006.html">
+
+
+ <b>8.2.</b>
+
+ E2006-tfidf regression tutorial
</a>
@@ -1339,12 +1375,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.1.1" data-path="../regression/e2006_dataset.html">
+ <li class="chapter " data-level="8.2.1" data-path="../regression/e2006_dataset.html">
<a href="../regression/e2006_dataset.html">
- <b>8.1.1.</b>
+ <b>8.2.1.</b>
Data preparation
@@ -1354,12 +1390,12 @@
</li>
- <li class="chapter " data-level="8.1.2" data-path="../regression/e2006_arow.html">
+ <li class="chapter " data-level="8.2.2" data-path="../regression/e2006_arow.html">
<a href="../regression/e2006_arow.html">
- <b>8.1.2.</b>
+ <b>8.2.2.</b>
Passive Aggressive, AROW
@@ -1374,14 +1410,14 @@
</li>
- <li class="chapter " data-level="8.2" data-path="../regression/kddcup12tr2.html">
+ <li class="chapter " data-level="8.3" data-path="../regression/kddcup12tr2.html">
<a href="../regression/kddcup12tr2.html">
- <b>8.2.</b>
+ <b>8.3.</b>
- KDDCup 2012 track 2 CTR prediction
+ KDDCup 2012 track 2 CTR prediction tutorial
</a>
@@ -1390,12 +1426,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.2.1" data-path="../regression/kddcup12tr2_dataset.html">
+ <li class="chapter " data-level="8.3.1" data-path="../regression/kddcup12tr2_dataset.html">
<a href="../regression/kddcup12tr2_dataset.html">
- <b>8.2.1.</b>
+ <b>8.3.1.</b>
Data preparation
@@ -1405,12 +1441,12 @@
</li>
- <li class="chapter " data-level="8.2.2" data-path="../regression/kddcup12tr2_lr.html">
+ <li class="chapter " data-level="8.3.2" data-path="../regression/kddcup12tr2_lr.html">
<a href="../regression/kddcup12tr2_lr.html">
- <b>8.2.2.</b>
+ <b>8.3.2.</b>
Logistic Regression, Passive Aggressive
@@ -1420,12 +1456,12 @@
</li>
- <li class="chapter " data-level="8.2.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
+ <li class="chapter " data-level="8.3.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
<a href="../regression/kddcup12tr2_lr_amplify.html">
- <b>8.2.3.</b>
+ <b>8.3.3.</b>
Logistic Regression with Amplifier
@@ -1435,12 +1471,12 @@
</li>
- <li class="chapter " data-level="8.2.4" data-path="../regression/kddcup12tr2_adagrad.html">
+ <li class="chapter " data-level="8.3.4" data-path="../regression/kddcup12tr2_adagrad.html">
<a href="../regression/kddcup12tr2_adagrad.html">
- <b>8.2.4.</b>
+ <b>8.3.4.</b>
AdaGrad, AdaDelta
@@ -2133,7 +2169,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
<script>
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http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/ba518dab/userguide/troubleshooting/num_mappers.html
----------------------------------------------------------------------
diff --git a/userguide/troubleshooting/num_mappers.html b/userguide/troubleshooting/num_mappers.html
index 6dcc741..7b10321 100644
--- a/userguide/troubleshooting/num_mappers.html
+++ b/userguide/troubleshooting/num_mappers.html
@@ -598,14 +598,30 @@
</li>
- <li class="chapter " data-level="3.5" data-path="../ft_engineering/tfidf.html">
+ <li class="chapter " data-level="3.5" data-path="../ft_engineering/pairing.html">
- <a href="../ft_engineering/tfidf.html">
+ <a href="../ft_engineering/pairing.html">
<b>3.5.</b>
- TF-IDF Calculation
+ FEATURE PAIRING
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="3.5.1" data-path="../ft_engineering/polynomial.html">
+
+ <a href="../ft_engineering/polynomial.html">
+
+
+ <b>3.5.1.</b>
+
+ Polynomial Features
</a>
@@ -613,6 +629,11 @@
</li>
+
+ </ul>
+
+ </li>
+
<li class="chapter " data-level="3.6" data-path="../ft_engineering/ft_trans.html">
<a href="../ft_engineering/ft_trans.html">
@@ -664,6 +685,21 @@
</li>
+ <li class="chapter " data-level="3.7" data-path="../ft_engineering/tfidf.html">
+
+ <a href="../ft_engineering/tfidf.html">
+
+
+ <b>3.7.</b>
+
+ TF-IDF Calculation
+
+ </a>
+
+
+
+ </li>
+
@@ -761,7 +797,7 @@
- <li class="header">Part V - Prediction</li>
+ <li class="header">Part V - Supervised Learning</li>
@@ -780,27 +816,19 @@
</li>
- <li class="chapter " data-level="5.2" data-path="../regression/general.html">
-
- <a href="../regression/general.html">
-
-
- <b>5.2.</b>
-
- Regression
-
- </a>
-
-
- </li>
- <li class="chapter " data-level="5.3" data-path="../binaryclass/general.html">
+
+ <li class="header">Part VI - Binary classification</li>
+
+
+
+ <li class="chapter " data-level="6.1" data-path="../binaryclass/general.html">
<a href="../binaryclass/general.html">
- <b>5.3.</b>
+ <b>6.1.</b>
Binary Classification
@@ -810,21 +838,14 @@
</li>
-
-
-
- <li class="header">Part VI - Binary classification tutorials</li>
-
-
-
- <li class="chapter " data-level="6.1" data-path="../binaryclass/a9a.html">
+ <li class="chapter " data-level="6.2" data-path="../binaryclass/a9a.html">
<a href="../binaryclass/a9a.html">
- <b>6.1.</b>
+ <b>6.2.</b>
- a9a
+ a9a tutorial
</a>
@@ -833,12 +854,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.1.1" data-path="../binaryclass/a9a_dataset.html">
+ <li class="chapter " data-level="6.2.1" data-path="../binaryclass/a9a_dataset.html">
<a href="../binaryclass/a9a_dataset.html">
- <b>6.1.1.</b>
+ <b>6.2.1.</b>
Data preparation
@@ -848,12 +869,12 @@
</li>
- <li class="chapter " data-level="6.1.2" data-path="../binaryclass/a9a_lr.html">
+ <li class="chapter " data-level="6.2.2" data-path="../binaryclass/a9a_lr.html">
<a href="../binaryclass/a9a_lr.html">
- <b>6.1.2.</b>
+ <b>6.2.2.</b>
Logistic Regression
@@ -863,12 +884,12 @@
</li>
- <li class="chapter " data-level="6.1.3" data-path="../binaryclass/a9a_minibatch.html">
+ <li class="chapter " data-level="6.2.3" data-path="../binaryclass/a9a_minibatch.html">
<a href="../binaryclass/a9a_minibatch.html">
- <b>6.1.3.</b>
+ <b>6.2.3.</b>
Mini-batch Gradient Descent
@@ -883,14 +904,14 @@
</li>
- <li class="chapter " data-level="6.2" data-path="../binaryclass/news20.html">
+ <li class="chapter " data-level="6.3" data-path="../binaryclass/news20.html">
<a href="../binaryclass/news20.html">
- <b>6.2.</b>
+ <b>6.3.</b>
- News20
+ News20 tutorial
</a>
@@ -899,12 +920,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.2.1" data-path="../binaryclass/news20_dataset.html">
+ <li class="chapter " data-level="6.3.1" data-path="../binaryclass/news20_dataset.html">
<a href="../binaryclass/news20_dataset.html">
- <b>6.2.1.</b>
+ <b>6.3.1.</b>
Data preparation
@@ -914,12 +935,12 @@
</li>
- <li class="chapter " data-level="6.2.2" data-path="../binaryclass/news20_pa.html">
+ <li class="chapter " data-level="6.3.2" data-path="../binaryclass/news20_pa.html">
<a href="../binaryclass/news20_pa.html">
- <b>6.2.2.</b>
+ <b>6.3.2.</b>
Perceptron, Passive Aggressive
@@ -929,12 +950,12 @@
</li>
- <li class="chapter " data-level="6.2.3" data-path="../binaryclass/news20_scw.html">
+ <li class="chapter " data-level="6.3.3" data-path="../binaryclass/news20_scw.html">
<a href="../binaryclass/news20_scw.html">
- <b>6.2.3.</b>
+ <b>6.3.3.</b>
CW, AROW, SCW
@@ -944,12 +965,12 @@
</li>
- <li class="chapter " data-level="6.2.4" data-path="../binaryclass/news20_adagrad.html">
+ <li class="chapter " data-level="6.3.4" data-path="../binaryclass/news20_adagrad.html">
<a href="../binaryclass/news20_adagrad.html">
- <b>6.2.4.</b>
+ <b>6.3.4.</b>
AdaGradRDA, AdaGrad, AdaDelta
@@ -964,14 +985,14 @@
</li>
- <li class="chapter " data-level="6.3" data-path="../binaryclass/kdd2010a.html">
+ <li class="chapter " data-level="6.4" data-path="../binaryclass/kdd2010a.html">
<a href="../binaryclass/kdd2010a.html">
- <b>6.3.</b>
+ <b>6.4.</b>
- KDD2010a
+ KDD2010a tutorial
</a>
@@ -980,12 +1001,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.3.1" data-path="../binaryclass/kdd2010a_dataset.html">
+ <li class="chapter " data-level="6.4.1" data-path="../binaryclass/kdd2010a_dataset.html">
<a href="../binaryclass/kdd2010a_dataset.html">
- <b>6.3.1.</b>
+ <b>6.4.1.</b>
Data preparation
@@ -995,12 +1016,12 @@
</li>
- <li class="chapter " data-level="6.3.2" data-path="../binaryclass/kdd2010a_scw.html">
+ <li class="chapter " data-level="6.4.2" data-path="../binaryclass/kdd2010a_scw.html">
<a href="../binaryclass/kdd2010a_scw.html">
- <b>6.3.2.</b>
+ <b>6.4.2.</b>
PA, CW, AROW, SCW
@@ -1015,14 +1036,14 @@
</li>
- <li class="chapter " data-level="6.4" data-path="../binaryclass/kdd2010b.html">
+ <li class="chapter " data-level="6.5" data-path="../binaryclass/kdd2010b.html">
<a href="../binaryclass/kdd2010b.html">
- <b>6.4.</b>
+ <b>6.5.</b>
- KDD2010b
+ KDD2010b tutorial
</a>
@@ -1031,12 +1052,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.4.1" data-path="../binaryclass/kdd2010b_dataset.html">
+ <li class="chapter " data-level="6.5.1" data-path="../binaryclass/kdd2010b_dataset.html">
<a href="../binaryclass/kdd2010b_dataset.html">
- <b>6.4.1.</b>
+ <b>6.5.1.</b>
Data preparation
@@ -1046,12 +1067,12 @@
</li>
- <li class="chapter " data-level="6.4.2" data-path="../binaryclass/kdd2010b_arow.html">
+ <li class="chapter " data-level="6.5.2" data-path="../binaryclass/kdd2010b_arow.html">
<a href="../binaryclass/kdd2010b_arow.html">
- <b>6.4.2.</b>
+ <b>6.5.2.</b>
AROW
@@ -1066,14 +1087,14 @@
</li>
- <li class="chapter " data-level="6.5" data-path="../binaryclass/webspam.html">
+ <li class="chapter " data-level="6.6" data-path="../binaryclass/webspam.html">
<a href="../binaryclass/webspam.html">
- <b>6.5.</b>
+ <b>6.6.</b>
- Webspam
+ Webspam tutorial
</a>
@@ -1082,12 +1103,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.5.1" data-path="../binaryclass/webspam_dataset.html">
+ <li class="chapter " data-level="6.6.1" data-path="../binaryclass/webspam_dataset.html">
<a href="../binaryclass/webspam_dataset.html">
- <b>6.5.1.</b>
+ <b>6.6.1.</b>
Data pareparation
@@ -1097,12 +1118,12 @@
</li>
- <li class="chapter " data-level="6.5.2" data-path="../binaryclass/webspam_scw.html">
+ <li class="chapter " data-level="6.6.2" data-path="../binaryclass/webspam_scw.html">
<a href="../binaryclass/webspam_scw.html">
- <b>6.5.2.</b>
+ <b>6.6.2.</b>
PA1, AROW, SCW
@@ -1117,14 +1138,14 @@
</li>
- <li class="chapter " data-level="6.6" data-path="../binaryclass/titanic_rf.html">
+ <li class="chapter " data-level="6.7" data-path="../binaryclass/titanic_rf.html">
<a href="../binaryclass/titanic_rf.html">
- <b>6.6.</b>
+ <b>6.7.</b>
- Kaggle Titanic
+ Kaggle Titanic tutorial
</a>
@@ -1135,7 +1156,7 @@
- <li class="header">Part VII - Multiclass classification tutorials</li>
+ <li class="header">Part VII - Multiclass classification</li>
@@ -1146,7 +1167,7 @@
<b>7.1.</b>
- News20 Multiclass
+ News20 Multiclass tutorial
</a>
@@ -1257,7 +1278,7 @@
<b>7.2.</b>
- Iris
+ Iris tutorial
</a>
@@ -1319,18 +1340,33 @@
- <li class="header">Part VIII - Regression tutorials</li>
+ <li class="header">Part VIII - Regression</li>
- <li class="chapter " data-level="8.1" data-path="../regression/e2006.html">
+ <li class="chapter " data-level="8.1" data-path="../regression/general.html">
- <a href="../regression/e2006.html">
+ <a href="../regression/general.html">
<b>8.1.</b>
- E2006-tfidf regression
+ Regression
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="8.2" data-path="../regression/e2006.html">
+
+ <a href="../regression/e2006.html">
+
+
+ <b>8.2.</b>
+
+ E2006-tfidf regression tutorial
</a>
@@ -1339,12 +1375,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.1.1" data-path="../regression/e2006_dataset.html">
+ <li class="chapter " data-level="8.2.1" data-path="../regression/e2006_dataset.html">
<a href="../regression/e2006_dataset.html">
- <b>8.1.1.</b>
+ <b>8.2.1.</b>
Data preparation
@@ -1354,12 +1390,12 @@
</li>
- <li class="chapter " data-level="8.1.2" data-path="../regression/e2006_arow.html">
+ <li class="chapter " data-level="8.2.2" data-path="../regression/e2006_arow.html">
<a href="../regression/e2006_arow.html">
- <b>8.1.2.</b>
+ <b>8.2.2.</b>
Passive Aggressive, AROW
@@ -1374,14 +1410,14 @@
</li>
- <li class="chapter " data-level="8.2" data-path="../regression/kddcup12tr2.html">
+ <li class="chapter " data-level="8.3" data-path="../regression/kddcup12tr2.html">
<a href="../regression/kddcup12tr2.html">
- <b>8.2.</b>
+ <b>8.3.</b>
- KDDCup 2012 track 2 CTR prediction
+ KDDCup 2012 track 2 CTR prediction tutorial
</a>
@@ -1390,12 +1426,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.2.1" data-path="../regression/kddcup12tr2_dataset.html">
+ <li class="chapter " data-level="8.3.1" data-path="../regression/kddcup12tr2_dataset.html">
<a href="../regression/kddcup12tr2_dataset.html">
- <b>8.2.1.</b>
+ <b>8.3.1.</b>
Data preparation
@@ -1405,12 +1441,12 @@
</li>
- <li class="chapter " data-level="8.2.2" data-path="../regression/kddcup12tr2_lr.html">
+ <li class="chapter " data-level="8.3.2" data-path="../regression/kddcup12tr2_lr.html">
<a href="../regression/kddcup12tr2_lr.html">
- <b>8.2.2.</b>
+ <b>8.3.2.</b>
Logistic Regression, Passive Aggressive
@@ -1420,12 +1456,12 @@
</li>
- <li class="chapter " data-level="8.2.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
+ <li class="chapter " data-level="8.3.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
<a href="../regression/kddcup12tr2_lr_amplify.html">
- <b>8.2.3.</b>
+ <b>8.3.3.</b>
Logistic Regression with Amplifier
@@ -1435,12 +1471,12 @@
</li>
- <li class="chapter " data-level="8.2.4" data-path="../regression/kddcup12tr2_adagrad.html">
+ <li class="chapter " data-level="8.3.4" data-path="../regression/kddcup12tr2_adagrad.html">
<a href="../regression/kddcup12tr2_adagrad.html">
- <b>8.2.4.</b>
+ <b>8.3.4.</b>
AdaGrad, AdaDelta
@@ -2141,7 +2177,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
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http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/ba518dab/userguide/troubleshooting/oom.html
----------------------------------------------------------------------
diff --git a/userguide/troubleshooting/oom.html b/userguide/troubleshooting/oom.html
index a414826..12269d4 100644
--- a/userguide/troubleshooting/oom.html
+++ b/userguide/troubleshooting/oom.html
@@ -598,14 +598,30 @@
</li>
- <li class="chapter " data-level="3.5" data-path="../ft_engineering/tfidf.html">
+ <li class="chapter " data-level="3.5" data-path="../ft_engineering/pairing.html">
- <a href="../ft_engineering/tfidf.html">
+ <a href="../ft_engineering/pairing.html">
<b>3.5.</b>
- TF-IDF Calculation
+ FEATURE PAIRING
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="3.5.1" data-path="../ft_engineering/polynomial.html">
+
+ <a href="../ft_engineering/polynomial.html">
+
+
+ <b>3.5.1.</b>
+
+ Polynomial Features
</a>
@@ -613,6 +629,11 @@
</li>
+
+ </ul>
+
+ </li>
+
<li class="chapter " data-level="3.6" data-path="../ft_engineering/ft_trans.html">
<a href="../ft_engineering/ft_trans.html">
@@ -664,6 +685,21 @@
</li>
+ <li class="chapter " data-level="3.7" data-path="../ft_engineering/tfidf.html">
+
+ <a href="../ft_engineering/tfidf.html">
+
+
+ <b>3.7.</b>
+
+ TF-IDF Calculation
+
+ </a>
+
+
+
+ </li>
+
@@ -761,7 +797,7 @@
- <li class="header">Part V - Prediction</li>
+ <li class="header">Part V - Supervised Learning</li>
@@ -780,27 +816,19 @@
</li>
- <li class="chapter " data-level="5.2" data-path="../regression/general.html">
-
- <a href="../regression/general.html">
-
-
- <b>5.2.</b>
-
- Regression
-
- </a>
-
-
- </li>
- <li class="chapter " data-level="5.3" data-path="../binaryclass/general.html">
+
+ <li class="header">Part VI - Binary classification</li>
+
+
+
+ <li class="chapter " data-level="6.1" data-path="../binaryclass/general.html">
<a href="../binaryclass/general.html">
- <b>5.3.</b>
+ <b>6.1.</b>
Binary Classification
@@ -810,21 +838,14 @@
</li>
-
-
-
- <li class="header">Part VI - Binary classification tutorials</li>
-
-
-
- <li class="chapter " data-level="6.1" data-path="../binaryclass/a9a.html">
+ <li class="chapter " data-level="6.2" data-path="../binaryclass/a9a.html">
<a href="../binaryclass/a9a.html">
- <b>6.1.</b>
+ <b>6.2.</b>
- a9a
+ a9a tutorial
</a>
@@ -833,12 +854,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.1.1" data-path="../binaryclass/a9a_dataset.html">
+ <li class="chapter " data-level="6.2.1" data-path="../binaryclass/a9a_dataset.html">
<a href="../binaryclass/a9a_dataset.html">
- <b>6.1.1.</b>
+ <b>6.2.1.</b>
Data preparation
@@ -848,12 +869,12 @@
</li>
- <li class="chapter " data-level="6.1.2" data-path="../binaryclass/a9a_lr.html">
+ <li class="chapter " data-level="6.2.2" data-path="../binaryclass/a9a_lr.html">
<a href="../binaryclass/a9a_lr.html">
- <b>6.1.2.</b>
+ <b>6.2.2.</b>
Logistic Regression
@@ -863,12 +884,12 @@
</li>
- <li class="chapter " data-level="6.1.3" data-path="../binaryclass/a9a_minibatch.html">
+ <li class="chapter " data-level="6.2.3" data-path="../binaryclass/a9a_minibatch.html">
<a href="../binaryclass/a9a_minibatch.html">
- <b>6.1.3.</b>
+ <b>6.2.3.</b>
Mini-batch Gradient Descent
@@ -883,14 +904,14 @@
</li>
- <li class="chapter " data-level="6.2" data-path="../binaryclass/news20.html">
+ <li class="chapter " data-level="6.3" data-path="../binaryclass/news20.html">
<a href="../binaryclass/news20.html">
- <b>6.2.</b>
+ <b>6.3.</b>
- News20
+ News20 tutorial
</a>
@@ -899,12 +920,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.2.1" data-path="../binaryclass/news20_dataset.html">
+ <li class="chapter " data-level="6.3.1" data-path="../binaryclass/news20_dataset.html">
<a href="../binaryclass/news20_dataset.html">
- <b>6.2.1.</b>
+ <b>6.3.1.</b>
Data preparation
@@ -914,12 +935,12 @@
</li>
- <li class="chapter " data-level="6.2.2" data-path="../binaryclass/news20_pa.html">
+ <li class="chapter " data-level="6.3.2" data-path="../binaryclass/news20_pa.html">
<a href="../binaryclass/news20_pa.html">
- <b>6.2.2.</b>
+ <b>6.3.2.</b>
Perceptron, Passive Aggressive
@@ -929,12 +950,12 @@
</li>
- <li class="chapter " data-level="6.2.3" data-path="../binaryclass/news20_scw.html">
+ <li class="chapter " data-level="6.3.3" data-path="../binaryclass/news20_scw.html">
<a href="../binaryclass/news20_scw.html">
- <b>6.2.3.</b>
+ <b>6.3.3.</b>
CW, AROW, SCW
@@ -944,12 +965,12 @@
</li>
- <li class="chapter " data-level="6.2.4" data-path="../binaryclass/news20_adagrad.html">
+ <li class="chapter " data-level="6.3.4" data-path="../binaryclass/news20_adagrad.html">
<a href="../binaryclass/news20_adagrad.html">
- <b>6.2.4.</b>
+ <b>6.3.4.</b>
AdaGradRDA, AdaGrad, AdaDelta
@@ -964,14 +985,14 @@
</li>
- <li class="chapter " data-level="6.3" data-path="../binaryclass/kdd2010a.html">
+ <li class="chapter " data-level="6.4" data-path="../binaryclass/kdd2010a.html">
<a href="../binaryclass/kdd2010a.html">
- <b>6.3.</b>
+ <b>6.4.</b>
- KDD2010a
+ KDD2010a tutorial
</a>
@@ -980,12 +1001,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.3.1" data-path="../binaryclass/kdd2010a_dataset.html">
+ <li class="chapter " data-level="6.4.1" data-path="../binaryclass/kdd2010a_dataset.html">
<a href="../binaryclass/kdd2010a_dataset.html">
- <b>6.3.1.</b>
+ <b>6.4.1.</b>
Data preparation
@@ -995,12 +1016,12 @@
</li>
- <li class="chapter " data-level="6.3.2" data-path="../binaryclass/kdd2010a_scw.html">
+ <li class="chapter " data-level="6.4.2" data-path="../binaryclass/kdd2010a_scw.html">
<a href="../binaryclass/kdd2010a_scw.html">
- <b>6.3.2.</b>
+ <b>6.4.2.</b>
PA, CW, AROW, SCW
@@ -1015,14 +1036,14 @@
</li>
- <li class="chapter " data-level="6.4" data-path="../binaryclass/kdd2010b.html">
+ <li class="chapter " data-level="6.5" data-path="../binaryclass/kdd2010b.html">
<a href="../binaryclass/kdd2010b.html">
- <b>6.4.</b>
+ <b>6.5.</b>
- KDD2010b
+ KDD2010b tutorial
</a>
@@ -1031,12 +1052,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.4.1" data-path="../binaryclass/kdd2010b_dataset.html">
+ <li class="chapter " data-level="6.5.1" data-path="../binaryclass/kdd2010b_dataset.html">
<a href="../binaryclass/kdd2010b_dataset.html">
- <b>6.4.1.</b>
+ <b>6.5.1.</b>
Data preparation
@@ -1046,12 +1067,12 @@
</li>
- <li class="chapter " data-level="6.4.2" data-path="../binaryclass/kdd2010b_arow.html">
+ <li class="chapter " data-level="6.5.2" data-path="../binaryclass/kdd2010b_arow.html">
<a href="../binaryclass/kdd2010b_arow.html">
- <b>6.4.2.</b>
+ <b>6.5.2.</b>
AROW
@@ -1066,14 +1087,14 @@
</li>
- <li class="chapter " data-level="6.5" data-path="../binaryclass/webspam.html">
+ <li class="chapter " data-level="6.6" data-path="../binaryclass/webspam.html">
<a href="../binaryclass/webspam.html">
- <b>6.5.</b>
+ <b>6.6.</b>
- Webspam
+ Webspam tutorial
</a>
@@ -1082,12 +1103,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.5.1" data-path="../binaryclass/webspam_dataset.html">
+ <li class="chapter " data-level="6.6.1" data-path="../binaryclass/webspam_dataset.html">
<a href="../binaryclass/webspam_dataset.html">
- <b>6.5.1.</b>
+ <b>6.6.1.</b>
Data pareparation
@@ -1097,12 +1118,12 @@
</li>
- <li class="chapter " data-level="6.5.2" data-path="../binaryclass/webspam_scw.html">
+ <li class="chapter " data-level="6.6.2" data-path="../binaryclass/webspam_scw.html">
<a href="../binaryclass/webspam_scw.html">
- <b>6.5.2.</b>
+ <b>6.6.2.</b>
PA1, AROW, SCW
@@ -1117,14 +1138,14 @@
</li>
- <li class="chapter " data-level="6.6" data-path="../binaryclass/titanic_rf.html">
+ <li class="chapter " data-level="6.7" data-path="../binaryclass/titanic_rf.html">
<a href="../binaryclass/titanic_rf.html">
- <b>6.6.</b>
+ <b>6.7.</b>
- Kaggle Titanic
+ Kaggle Titanic tutorial
</a>
@@ -1135,7 +1156,7 @@
- <li class="header">Part VII - Multiclass classification tutorials</li>
+ <li class="header">Part VII - Multiclass classification</li>
@@ -1146,7 +1167,7 @@
<b>7.1.</b>
- News20 Multiclass
+ News20 Multiclass tutorial
</a>
@@ -1257,7 +1278,7 @@
<b>7.2.</b>
- Iris
+ Iris tutorial
</a>
@@ -1319,18 +1340,33 @@
- <li class="header">Part VIII - Regression tutorials</li>
+ <li class="header">Part VIII - Regression</li>
- <li class="chapter " data-level="8.1" data-path="../regression/e2006.html">
+ <li class="chapter " data-level="8.1" data-path="../regression/general.html">
- <a href="../regression/e2006.html">
+ <a href="../regression/general.html">
<b>8.1.</b>
- E2006-tfidf regression
+ Regression
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="8.2" data-path="../regression/e2006.html">
+
+ <a href="../regression/e2006.html">
+
+
+ <b>8.2.</b>
+
+ E2006-tfidf regression tutorial
</a>
@@ -1339,12 +1375,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.1.1" data-path="../regression/e2006_dataset.html">
+ <li class="chapter " data-level="8.2.1" data-path="../regression/e2006_dataset.html">
<a href="../regression/e2006_dataset.html">
- <b>8.1.1.</b>
+ <b>8.2.1.</b>
Data preparation
@@ -1354,12 +1390,12 @@
</li>
- <li class="chapter " data-level="8.1.2" data-path="../regression/e2006_arow.html">
+ <li class="chapter " data-level="8.2.2" data-path="../regression/e2006_arow.html">
<a href="../regression/e2006_arow.html">
- <b>8.1.2.</b>
+ <b>8.2.2.</b>
Passive Aggressive, AROW
@@ -1374,14 +1410,14 @@
</li>
- <li class="chapter " data-level="8.2" data-path="../regression/kddcup12tr2.html">
+ <li class="chapter " data-level="8.3" data-path="../regression/kddcup12tr2.html">
<a href="../regression/kddcup12tr2.html">
- <b>8.2.</b>
+ <b>8.3.</b>
- KDDCup 2012 track 2 CTR prediction
+ KDDCup 2012 track 2 CTR prediction tutorial
</a>
@@ -1390,12 +1426,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.2.1" data-path="../regression/kddcup12tr2_dataset.html">
+ <li class="chapter " data-level="8.3.1" data-path="../regression/kddcup12tr2_dataset.html">
<a href="../regression/kddcup12tr2_dataset.html">
- <b>8.2.1.</b>
+ <b>8.3.1.</b>
Data preparation
@@ -1405,12 +1441,12 @@
</li>
- <li class="chapter " data-level="8.2.2" data-path="../regression/kddcup12tr2_lr.html">
+ <li class="chapter " data-level="8.3.2" data-path="../regression/kddcup12tr2_lr.html">
<a href="../regression/kddcup12tr2_lr.html">
- <b>8.2.2.</b>
+ <b>8.3.2.</b>
Logistic Regression, Passive Aggressive
@@ -1420,12 +1456,12 @@
</li>
- <li class="chapter " data-level="8.2.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
+ <li class="chapter " data-level="8.3.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
<a href="../regression/kddcup12tr2_lr_amplify.html">
- <b>8.2.3.</b>
+ <b>8.3.3.</b>
Logistic Regression with Amplifier
@@ -1435,12 +1471,12 @@
</li>
- <li class="chapter " data-level="8.2.4" data-path="../regression/kddcup12tr2_adagrad.html">
+ <li class="chapter " data-level="8.3.4" data-path="../regression/kddcup12tr2_adagrad.html">
<a href="../regression/kddcup12tr2_adagrad.html">
- <b>8.2.4.</b>
+ <b>8.3.4.</b>
AdaGrad, AdaDelta
@@ -2139,7 +2175,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
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[32/41] incubator-hivemall-site git commit: Added descriptions about
Feature Pairing in the user guide
Posted by my...@apache.org.
http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/ba518dab/userguide/eval/datagen.html
----------------------------------------------------------------------
diff --git a/userguide/eval/datagen.html b/userguide/eval/datagen.html
index e070248..00cb8c8 100644
--- a/userguide/eval/datagen.html
+++ b/userguide/eval/datagen.html
@@ -598,14 +598,30 @@
</li>
- <li class="chapter " data-level="3.5" data-path="../ft_engineering/tfidf.html">
+ <li class="chapter " data-level="3.5" data-path="../ft_engineering/pairing.html">
- <a href="../ft_engineering/tfidf.html">
+ <a href="../ft_engineering/pairing.html">
<b>3.5.</b>
- TF-IDF Calculation
+ FEATURE PAIRING
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="3.5.1" data-path="../ft_engineering/polynomial.html">
+
+ <a href="../ft_engineering/polynomial.html">
+
+
+ <b>3.5.1.</b>
+
+ Polynomial Features
</a>
@@ -613,6 +629,11 @@
</li>
+
+ </ul>
+
+ </li>
+
<li class="chapter " data-level="3.6" data-path="../ft_engineering/ft_trans.html">
<a href="../ft_engineering/ft_trans.html">
@@ -664,6 +685,21 @@
</li>
+ <li class="chapter " data-level="3.7" data-path="../ft_engineering/tfidf.html">
+
+ <a href="../ft_engineering/tfidf.html">
+
+
+ <b>3.7.</b>
+
+ TF-IDF Calculation
+
+ </a>
+
+
+
+ </li>
+
@@ -761,7 +797,7 @@
- <li class="header">Part V - Prediction</li>
+ <li class="header">Part V - Supervised Learning</li>
@@ -780,27 +816,19 @@
</li>
- <li class="chapter " data-level="5.2" data-path="../regression/general.html">
-
- <a href="../regression/general.html">
-
-
- <b>5.2.</b>
-
- Regression
-
- </a>
-
-
- </li>
- <li class="chapter " data-level="5.3" data-path="../binaryclass/general.html">
+
+ <li class="header">Part VI - Binary classification</li>
+
+
+
+ <li class="chapter " data-level="6.1" data-path="../binaryclass/general.html">
<a href="../binaryclass/general.html">
- <b>5.3.</b>
+ <b>6.1.</b>
Binary Classification
@@ -810,21 +838,14 @@
</li>
-
-
-
- <li class="header">Part VI - Binary classification tutorials</li>
-
-
-
- <li class="chapter " data-level="6.1" data-path="../binaryclass/a9a.html">
+ <li class="chapter " data-level="6.2" data-path="../binaryclass/a9a.html">
<a href="../binaryclass/a9a.html">
- <b>6.1.</b>
+ <b>6.2.</b>
- a9a
+ a9a tutorial
</a>
@@ -833,12 +854,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.1.1" data-path="../binaryclass/a9a_dataset.html">
+ <li class="chapter " data-level="6.2.1" data-path="../binaryclass/a9a_dataset.html">
<a href="../binaryclass/a9a_dataset.html">
- <b>6.1.1.</b>
+ <b>6.2.1.</b>
Data preparation
@@ -848,12 +869,12 @@
</li>
- <li class="chapter " data-level="6.1.2" data-path="../binaryclass/a9a_lr.html">
+ <li class="chapter " data-level="6.2.2" data-path="../binaryclass/a9a_lr.html">
<a href="../binaryclass/a9a_lr.html">
- <b>6.1.2.</b>
+ <b>6.2.2.</b>
Logistic Regression
@@ -863,12 +884,12 @@
</li>
- <li class="chapter " data-level="6.1.3" data-path="../binaryclass/a9a_minibatch.html">
+ <li class="chapter " data-level="6.2.3" data-path="../binaryclass/a9a_minibatch.html">
<a href="../binaryclass/a9a_minibatch.html">
- <b>6.1.3.</b>
+ <b>6.2.3.</b>
Mini-batch Gradient Descent
@@ -883,14 +904,14 @@
</li>
- <li class="chapter " data-level="6.2" data-path="../binaryclass/news20.html">
+ <li class="chapter " data-level="6.3" data-path="../binaryclass/news20.html">
<a href="../binaryclass/news20.html">
- <b>6.2.</b>
+ <b>6.3.</b>
- News20
+ News20 tutorial
</a>
@@ -899,12 +920,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.2.1" data-path="../binaryclass/news20_dataset.html">
+ <li class="chapter " data-level="6.3.1" data-path="../binaryclass/news20_dataset.html">
<a href="../binaryclass/news20_dataset.html">
- <b>6.2.1.</b>
+ <b>6.3.1.</b>
Data preparation
@@ -914,12 +935,12 @@
</li>
- <li class="chapter " data-level="6.2.2" data-path="../binaryclass/news20_pa.html">
+ <li class="chapter " data-level="6.3.2" data-path="../binaryclass/news20_pa.html">
<a href="../binaryclass/news20_pa.html">
- <b>6.2.2.</b>
+ <b>6.3.2.</b>
Perceptron, Passive Aggressive
@@ -929,12 +950,12 @@
</li>
- <li class="chapter " data-level="6.2.3" data-path="../binaryclass/news20_scw.html">
+ <li class="chapter " data-level="6.3.3" data-path="../binaryclass/news20_scw.html">
<a href="../binaryclass/news20_scw.html">
- <b>6.2.3.</b>
+ <b>6.3.3.</b>
CW, AROW, SCW
@@ -944,12 +965,12 @@
</li>
- <li class="chapter " data-level="6.2.4" data-path="../binaryclass/news20_adagrad.html">
+ <li class="chapter " data-level="6.3.4" data-path="../binaryclass/news20_adagrad.html">
<a href="../binaryclass/news20_adagrad.html">
- <b>6.2.4.</b>
+ <b>6.3.4.</b>
AdaGradRDA, AdaGrad, AdaDelta
@@ -964,14 +985,14 @@
</li>
- <li class="chapter " data-level="6.3" data-path="../binaryclass/kdd2010a.html">
+ <li class="chapter " data-level="6.4" data-path="../binaryclass/kdd2010a.html">
<a href="../binaryclass/kdd2010a.html">
- <b>6.3.</b>
+ <b>6.4.</b>
- KDD2010a
+ KDD2010a tutorial
</a>
@@ -980,12 +1001,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.3.1" data-path="../binaryclass/kdd2010a_dataset.html">
+ <li class="chapter " data-level="6.4.1" data-path="../binaryclass/kdd2010a_dataset.html">
<a href="../binaryclass/kdd2010a_dataset.html">
- <b>6.3.1.</b>
+ <b>6.4.1.</b>
Data preparation
@@ -995,12 +1016,12 @@
</li>
- <li class="chapter " data-level="6.3.2" data-path="../binaryclass/kdd2010a_scw.html">
+ <li class="chapter " data-level="6.4.2" data-path="../binaryclass/kdd2010a_scw.html">
<a href="../binaryclass/kdd2010a_scw.html">
- <b>6.3.2.</b>
+ <b>6.4.2.</b>
PA, CW, AROW, SCW
@@ -1015,14 +1036,14 @@
</li>
- <li class="chapter " data-level="6.4" data-path="../binaryclass/kdd2010b.html">
+ <li class="chapter " data-level="6.5" data-path="../binaryclass/kdd2010b.html">
<a href="../binaryclass/kdd2010b.html">
- <b>6.4.</b>
+ <b>6.5.</b>
- KDD2010b
+ KDD2010b tutorial
</a>
@@ -1031,12 +1052,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.4.1" data-path="../binaryclass/kdd2010b_dataset.html">
+ <li class="chapter " data-level="6.5.1" data-path="../binaryclass/kdd2010b_dataset.html">
<a href="../binaryclass/kdd2010b_dataset.html">
- <b>6.4.1.</b>
+ <b>6.5.1.</b>
Data preparation
@@ -1046,12 +1067,12 @@
</li>
- <li class="chapter " data-level="6.4.2" data-path="../binaryclass/kdd2010b_arow.html">
+ <li class="chapter " data-level="6.5.2" data-path="../binaryclass/kdd2010b_arow.html">
<a href="../binaryclass/kdd2010b_arow.html">
- <b>6.4.2.</b>
+ <b>6.5.2.</b>
AROW
@@ -1066,14 +1087,14 @@
</li>
- <li class="chapter " data-level="6.5" data-path="../binaryclass/webspam.html">
+ <li class="chapter " data-level="6.6" data-path="../binaryclass/webspam.html">
<a href="../binaryclass/webspam.html">
- <b>6.5.</b>
+ <b>6.6.</b>
- Webspam
+ Webspam tutorial
</a>
@@ -1082,12 +1103,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.5.1" data-path="../binaryclass/webspam_dataset.html">
+ <li class="chapter " data-level="6.6.1" data-path="../binaryclass/webspam_dataset.html">
<a href="../binaryclass/webspam_dataset.html">
- <b>6.5.1.</b>
+ <b>6.6.1.</b>
Data pareparation
@@ -1097,12 +1118,12 @@
</li>
- <li class="chapter " data-level="6.5.2" data-path="../binaryclass/webspam_scw.html">
+ <li class="chapter " data-level="6.6.2" data-path="../binaryclass/webspam_scw.html">
<a href="../binaryclass/webspam_scw.html">
- <b>6.5.2.</b>
+ <b>6.6.2.</b>
PA1, AROW, SCW
@@ -1117,14 +1138,14 @@
</li>
- <li class="chapter " data-level="6.6" data-path="../binaryclass/titanic_rf.html">
+ <li class="chapter " data-level="6.7" data-path="../binaryclass/titanic_rf.html">
<a href="../binaryclass/titanic_rf.html">
- <b>6.6.</b>
+ <b>6.7.</b>
- Kaggle Titanic
+ Kaggle Titanic tutorial
</a>
@@ -1135,7 +1156,7 @@
- <li class="header">Part VII - Multiclass classification tutorials</li>
+ <li class="header">Part VII - Multiclass classification</li>
@@ -1146,7 +1167,7 @@
<b>7.1.</b>
- News20 Multiclass
+ News20 Multiclass tutorial
</a>
@@ -1257,7 +1278,7 @@
<b>7.2.</b>
- Iris
+ Iris tutorial
</a>
@@ -1319,18 +1340,33 @@
- <li class="header">Part VIII - Regression tutorials</li>
+ <li class="header">Part VIII - Regression</li>
- <li class="chapter " data-level="8.1" data-path="../regression/e2006.html">
+ <li class="chapter " data-level="8.1" data-path="../regression/general.html">
- <a href="../regression/e2006.html">
+ <a href="../regression/general.html">
<b>8.1.</b>
- E2006-tfidf regression
+ Regression
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="8.2" data-path="../regression/e2006.html">
+
+ <a href="../regression/e2006.html">
+
+
+ <b>8.2.</b>
+
+ E2006-tfidf regression tutorial
</a>
@@ -1339,12 +1375,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.1.1" data-path="../regression/e2006_dataset.html">
+ <li class="chapter " data-level="8.2.1" data-path="../regression/e2006_dataset.html">
<a href="../regression/e2006_dataset.html">
- <b>8.1.1.</b>
+ <b>8.2.1.</b>
Data preparation
@@ -1354,12 +1390,12 @@
</li>
- <li class="chapter " data-level="8.1.2" data-path="../regression/e2006_arow.html">
+ <li class="chapter " data-level="8.2.2" data-path="../regression/e2006_arow.html">
<a href="../regression/e2006_arow.html">
- <b>8.1.2.</b>
+ <b>8.2.2.</b>
Passive Aggressive, AROW
@@ -1374,14 +1410,14 @@
</li>
- <li class="chapter " data-level="8.2" data-path="../regression/kddcup12tr2.html">
+ <li class="chapter " data-level="8.3" data-path="../regression/kddcup12tr2.html">
<a href="../regression/kddcup12tr2.html">
- <b>8.2.</b>
+ <b>8.3.</b>
- KDDCup 2012 track 2 CTR prediction
+ KDDCup 2012 track 2 CTR prediction tutorial
</a>
@@ -1390,12 +1426,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.2.1" data-path="../regression/kddcup12tr2_dataset.html">
+ <li class="chapter " data-level="8.3.1" data-path="../regression/kddcup12tr2_dataset.html">
<a href="../regression/kddcup12tr2_dataset.html">
- <b>8.2.1.</b>
+ <b>8.3.1.</b>
Data preparation
@@ -1405,12 +1441,12 @@
</li>
- <li class="chapter " data-level="8.2.2" data-path="../regression/kddcup12tr2_lr.html">
+ <li class="chapter " data-level="8.3.2" data-path="../regression/kddcup12tr2_lr.html">
<a href="../regression/kddcup12tr2_lr.html">
- <b>8.2.2.</b>
+ <b>8.3.2.</b>
Logistic Regression, Passive Aggressive
@@ -1420,12 +1456,12 @@
</li>
- <li class="chapter " data-level="8.2.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
+ <li class="chapter " data-level="8.3.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
<a href="../regression/kddcup12tr2_lr_amplify.html">
- <b>8.2.3.</b>
+ <b>8.3.3.</b>
Logistic Regression with Amplifier
@@ -1435,12 +1471,12 @@
</li>
- <li class="chapter " data-level="8.2.4" data-path="../regression/kddcup12tr2_adagrad.html">
+ <li class="chapter " data-level="8.3.4" data-path="../regression/kddcup12tr2_adagrad.html">
<a href="../regression/kddcup12tr2_adagrad.html">
- <b>8.2.4.</b>
+ <b>8.3.4.</b>
AdaGrad, AdaDelta
@@ -2129,7 +2165,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
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----------------------------------------------------------------------
diff --git a/userguide/eval/lr_datagen.html b/userguide/eval/lr_datagen.html
index 045f1c5..1a5251e 100644
--- a/userguide/eval/lr_datagen.html
+++ b/userguide/eval/lr_datagen.html
@@ -598,14 +598,30 @@
</li>
- <li class="chapter " data-level="3.5" data-path="../ft_engineering/tfidf.html">
+ <li class="chapter " data-level="3.5" data-path="../ft_engineering/pairing.html">
- <a href="../ft_engineering/tfidf.html">
+ <a href="../ft_engineering/pairing.html">
<b>3.5.</b>
- TF-IDF Calculation
+ FEATURE PAIRING
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="3.5.1" data-path="../ft_engineering/polynomial.html">
+
+ <a href="../ft_engineering/polynomial.html">
+
+
+ <b>3.5.1.</b>
+
+ Polynomial Features
</a>
@@ -613,6 +629,11 @@
</li>
+
+ </ul>
+
+ </li>
+
<li class="chapter " data-level="3.6" data-path="../ft_engineering/ft_trans.html">
<a href="../ft_engineering/ft_trans.html">
@@ -664,6 +685,21 @@
</li>
+ <li class="chapter " data-level="3.7" data-path="../ft_engineering/tfidf.html">
+
+ <a href="../ft_engineering/tfidf.html">
+
+
+ <b>3.7.</b>
+
+ TF-IDF Calculation
+
+ </a>
+
+
+
+ </li>
+
@@ -761,7 +797,7 @@
- <li class="header">Part V - Prediction</li>
+ <li class="header">Part V - Supervised Learning</li>
@@ -780,27 +816,19 @@
</li>
- <li class="chapter " data-level="5.2" data-path="../regression/general.html">
-
- <a href="../regression/general.html">
-
-
- <b>5.2.</b>
-
- Regression
-
- </a>
-
-
- </li>
- <li class="chapter " data-level="5.3" data-path="../binaryclass/general.html">
+
+ <li class="header">Part VI - Binary classification</li>
+
+
+
+ <li class="chapter " data-level="6.1" data-path="../binaryclass/general.html">
<a href="../binaryclass/general.html">
- <b>5.3.</b>
+ <b>6.1.</b>
Binary Classification
@@ -810,21 +838,14 @@
</li>
-
-
-
- <li class="header">Part VI - Binary classification tutorials</li>
-
-
-
- <li class="chapter " data-level="6.1" data-path="../binaryclass/a9a.html">
+ <li class="chapter " data-level="6.2" data-path="../binaryclass/a9a.html">
<a href="../binaryclass/a9a.html">
- <b>6.1.</b>
+ <b>6.2.</b>
- a9a
+ a9a tutorial
</a>
@@ -833,12 +854,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.1.1" data-path="../binaryclass/a9a_dataset.html">
+ <li class="chapter " data-level="6.2.1" data-path="../binaryclass/a9a_dataset.html">
<a href="../binaryclass/a9a_dataset.html">
- <b>6.1.1.</b>
+ <b>6.2.1.</b>
Data preparation
@@ -848,12 +869,12 @@
</li>
- <li class="chapter " data-level="6.1.2" data-path="../binaryclass/a9a_lr.html">
+ <li class="chapter " data-level="6.2.2" data-path="../binaryclass/a9a_lr.html">
<a href="../binaryclass/a9a_lr.html">
- <b>6.1.2.</b>
+ <b>6.2.2.</b>
Logistic Regression
@@ -863,12 +884,12 @@
</li>
- <li class="chapter " data-level="6.1.3" data-path="../binaryclass/a9a_minibatch.html">
+ <li class="chapter " data-level="6.2.3" data-path="../binaryclass/a9a_minibatch.html">
<a href="../binaryclass/a9a_minibatch.html">
- <b>6.1.3.</b>
+ <b>6.2.3.</b>
Mini-batch Gradient Descent
@@ -883,14 +904,14 @@
</li>
- <li class="chapter " data-level="6.2" data-path="../binaryclass/news20.html">
+ <li class="chapter " data-level="6.3" data-path="../binaryclass/news20.html">
<a href="../binaryclass/news20.html">
- <b>6.2.</b>
+ <b>6.3.</b>
- News20
+ News20 tutorial
</a>
@@ -899,12 +920,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.2.1" data-path="../binaryclass/news20_dataset.html">
+ <li class="chapter " data-level="6.3.1" data-path="../binaryclass/news20_dataset.html">
<a href="../binaryclass/news20_dataset.html">
- <b>6.2.1.</b>
+ <b>6.3.1.</b>
Data preparation
@@ -914,12 +935,12 @@
</li>
- <li class="chapter " data-level="6.2.2" data-path="../binaryclass/news20_pa.html">
+ <li class="chapter " data-level="6.3.2" data-path="../binaryclass/news20_pa.html">
<a href="../binaryclass/news20_pa.html">
- <b>6.2.2.</b>
+ <b>6.3.2.</b>
Perceptron, Passive Aggressive
@@ -929,12 +950,12 @@
</li>
- <li class="chapter " data-level="6.2.3" data-path="../binaryclass/news20_scw.html">
+ <li class="chapter " data-level="6.3.3" data-path="../binaryclass/news20_scw.html">
<a href="../binaryclass/news20_scw.html">
- <b>6.2.3.</b>
+ <b>6.3.3.</b>
CW, AROW, SCW
@@ -944,12 +965,12 @@
</li>
- <li class="chapter " data-level="6.2.4" data-path="../binaryclass/news20_adagrad.html">
+ <li class="chapter " data-level="6.3.4" data-path="../binaryclass/news20_adagrad.html">
<a href="../binaryclass/news20_adagrad.html">
- <b>6.2.4.</b>
+ <b>6.3.4.</b>
AdaGradRDA, AdaGrad, AdaDelta
@@ -964,14 +985,14 @@
</li>
- <li class="chapter " data-level="6.3" data-path="../binaryclass/kdd2010a.html">
+ <li class="chapter " data-level="6.4" data-path="../binaryclass/kdd2010a.html">
<a href="../binaryclass/kdd2010a.html">
- <b>6.3.</b>
+ <b>6.4.</b>
- KDD2010a
+ KDD2010a tutorial
</a>
@@ -980,12 +1001,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.3.1" data-path="../binaryclass/kdd2010a_dataset.html">
+ <li class="chapter " data-level="6.4.1" data-path="../binaryclass/kdd2010a_dataset.html">
<a href="../binaryclass/kdd2010a_dataset.html">
- <b>6.3.1.</b>
+ <b>6.4.1.</b>
Data preparation
@@ -995,12 +1016,12 @@
</li>
- <li class="chapter " data-level="6.3.2" data-path="../binaryclass/kdd2010a_scw.html">
+ <li class="chapter " data-level="6.4.2" data-path="../binaryclass/kdd2010a_scw.html">
<a href="../binaryclass/kdd2010a_scw.html">
- <b>6.3.2.</b>
+ <b>6.4.2.</b>
PA, CW, AROW, SCW
@@ -1015,14 +1036,14 @@
</li>
- <li class="chapter " data-level="6.4" data-path="../binaryclass/kdd2010b.html">
+ <li class="chapter " data-level="6.5" data-path="../binaryclass/kdd2010b.html">
<a href="../binaryclass/kdd2010b.html">
- <b>6.4.</b>
+ <b>6.5.</b>
- KDD2010b
+ KDD2010b tutorial
</a>
@@ -1031,12 +1052,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.4.1" data-path="../binaryclass/kdd2010b_dataset.html">
+ <li class="chapter " data-level="6.5.1" data-path="../binaryclass/kdd2010b_dataset.html">
<a href="../binaryclass/kdd2010b_dataset.html">
- <b>6.4.1.</b>
+ <b>6.5.1.</b>
Data preparation
@@ -1046,12 +1067,12 @@
</li>
- <li class="chapter " data-level="6.4.2" data-path="../binaryclass/kdd2010b_arow.html">
+ <li class="chapter " data-level="6.5.2" data-path="../binaryclass/kdd2010b_arow.html">
<a href="../binaryclass/kdd2010b_arow.html">
- <b>6.4.2.</b>
+ <b>6.5.2.</b>
AROW
@@ -1066,14 +1087,14 @@
</li>
- <li class="chapter " data-level="6.5" data-path="../binaryclass/webspam.html">
+ <li class="chapter " data-level="6.6" data-path="../binaryclass/webspam.html">
<a href="../binaryclass/webspam.html">
- <b>6.5.</b>
+ <b>6.6.</b>
- Webspam
+ Webspam tutorial
</a>
@@ -1082,12 +1103,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.5.1" data-path="../binaryclass/webspam_dataset.html">
+ <li class="chapter " data-level="6.6.1" data-path="../binaryclass/webspam_dataset.html">
<a href="../binaryclass/webspam_dataset.html">
- <b>6.5.1.</b>
+ <b>6.6.1.</b>
Data pareparation
@@ -1097,12 +1118,12 @@
</li>
- <li class="chapter " data-level="6.5.2" data-path="../binaryclass/webspam_scw.html">
+ <li class="chapter " data-level="6.6.2" data-path="../binaryclass/webspam_scw.html">
<a href="../binaryclass/webspam_scw.html">
- <b>6.5.2.</b>
+ <b>6.6.2.</b>
PA1, AROW, SCW
@@ -1117,14 +1138,14 @@
</li>
- <li class="chapter " data-level="6.6" data-path="../binaryclass/titanic_rf.html">
+ <li class="chapter " data-level="6.7" data-path="../binaryclass/titanic_rf.html">
<a href="../binaryclass/titanic_rf.html">
- <b>6.6.</b>
+ <b>6.7.</b>
- Kaggle Titanic
+ Kaggle Titanic tutorial
</a>
@@ -1135,7 +1156,7 @@
- <li class="header">Part VII - Multiclass classification tutorials</li>
+ <li class="header">Part VII - Multiclass classification</li>
@@ -1146,7 +1167,7 @@
<b>7.1.</b>
- News20 Multiclass
+ News20 Multiclass tutorial
</a>
@@ -1257,7 +1278,7 @@
<b>7.2.</b>
- Iris
+ Iris tutorial
</a>
@@ -1319,18 +1340,33 @@
- <li class="header">Part VIII - Regression tutorials</li>
+ <li class="header">Part VIII - Regression</li>
- <li class="chapter " data-level="8.1" data-path="../regression/e2006.html">
+ <li class="chapter " data-level="8.1" data-path="../regression/general.html">
- <a href="../regression/e2006.html">
+ <a href="../regression/general.html">
<b>8.1.</b>
- E2006-tfidf regression
+ Regression
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="8.2" data-path="../regression/e2006.html">
+
+ <a href="../regression/e2006.html">
+
+
+ <b>8.2.</b>
+
+ E2006-tfidf regression tutorial
</a>
@@ -1339,12 +1375,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.1.1" data-path="../regression/e2006_dataset.html">
+ <li class="chapter " data-level="8.2.1" data-path="../regression/e2006_dataset.html">
<a href="../regression/e2006_dataset.html">
- <b>8.1.1.</b>
+ <b>8.2.1.</b>
Data preparation
@@ -1354,12 +1390,12 @@
</li>
- <li class="chapter " data-level="8.1.2" data-path="../regression/e2006_arow.html">
+ <li class="chapter " data-level="8.2.2" data-path="../regression/e2006_arow.html">
<a href="../regression/e2006_arow.html">
- <b>8.1.2.</b>
+ <b>8.2.2.</b>
Passive Aggressive, AROW
@@ -1374,14 +1410,14 @@
</li>
- <li class="chapter " data-level="8.2" data-path="../regression/kddcup12tr2.html">
+ <li class="chapter " data-level="8.3" data-path="../regression/kddcup12tr2.html">
<a href="../regression/kddcup12tr2.html">
- <b>8.2.</b>
+ <b>8.3.</b>
- KDDCup 2012 track 2 CTR prediction
+ KDDCup 2012 track 2 CTR prediction tutorial
</a>
@@ -1390,12 +1426,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.2.1" data-path="../regression/kddcup12tr2_dataset.html">
+ <li class="chapter " data-level="8.3.1" data-path="../regression/kddcup12tr2_dataset.html">
<a href="../regression/kddcup12tr2_dataset.html">
- <b>8.2.1.</b>
+ <b>8.3.1.</b>
Data preparation
@@ -1405,12 +1441,12 @@
</li>
- <li class="chapter " data-level="8.2.2" data-path="../regression/kddcup12tr2_lr.html">
+ <li class="chapter " data-level="8.3.2" data-path="../regression/kddcup12tr2_lr.html">
<a href="../regression/kddcup12tr2_lr.html">
- <b>8.2.2.</b>
+ <b>8.3.2.</b>
Logistic Regression, Passive Aggressive
@@ -1420,12 +1456,12 @@
</li>
- <li class="chapter " data-level="8.2.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
+ <li class="chapter " data-level="8.3.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
<a href="../regression/kddcup12tr2_lr_amplify.html">
- <b>8.2.3.</b>
+ <b>8.3.3.</b>
Logistic Regression with Amplifier
@@ -1435,12 +1471,12 @@
</li>
- <li class="chapter " data-level="8.2.4" data-path="../regression/kddcup12tr2_adagrad.html">
+ <li class="chapter " data-level="8.3.4" data-path="../regression/kddcup12tr2_adagrad.html">
<a href="../regression/kddcup12tr2_adagrad.html">
- <b>8.2.4.</b>
+ <b>8.3.4.</b>
AdaGrad, AdaDelta
@@ -2217,7 +2253,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
<script>
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[33/41] incubator-hivemall-site git commit: Added descriptions about
Feature Pairing in the user guide
Posted by my...@apache.org.
http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/ba518dab/userguide/clustering/plsa.html
----------------------------------------------------------------------
diff --git a/userguide/clustering/plsa.html b/userguide/clustering/plsa.html
index 2ab3364..51555fb 100644
--- a/userguide/clustering/plsa.html
+++ b/userguide/clustering/plsa.html
@@ -598,14 +598,30 @@
</li>
- <li class="chapter " data-level="3.5" data-path="../ft_engineering/tfidf.html">
+ <li class="chapter " data-level="3.5" data-path="../ft_engineering/pairing.html">
- <a href="../ft_engineering/tfidf.html">
+ <a href="../ft_engineering/pairing.html">
<b>3.5.</b>
- TF-IDF Calculation
+ FEATURE PAIRING
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="3.5.1" data-path="../ft_engineering/polynomial.html">
+
+ <a href="../ft_engineering/polynomial.html">
+
+
+ <b>3.5.1.</b>
+
+ Polynomial Features
</a>
@@ -613,6 +629,11 @@
</li>
+
+ </ul>
+
+ </li>
+
<li class="chapter " data-level="3.6" data-path="../ft_engineering/ft_trans.html">
<a href="../ft_engineering/ft_trans.html">
@@ -664,6 +685,21 @@
</li>
+ <li class="chapter " data-level="3.7" data-path="../ft_engineering/tfidf.html">
+
+ <a href="../ft_engineering/tfidf.html">
+
+
+ <b>3.7.</b>
+
+ TF-IDF Calculation
+
+ </a>
+
+
+
+ </li>
+
@@ -761,7 +797,7 @@
- <li class="header">Part V - Prediction</li>
+ <li class="header">Part V - Supervised Learning</li>
@@ -780,27 +816,19 @@
</li>
- <li class="chapter " data-level="5.2" data-path="../regression/general.html">
-
- <a href="../regression/general.html">
-
-
- <b>5.2.</b>
-
- Regression
-
- </a>
-
-
- </li>
- <li class="chapter " data-level="5.3" data-path="../binaryclass/general.html">
+
+ <li class="header">Part VI - Binary classification</li>
+
+
+
+ <li class="chapter " data-level="6.1" data-path="../binaryclass/general.html">
<a href="../binaryclass/general.html">
- <b>5.3.</b>
+ <b>6.1.</b>
Binary Classification
@@ -810,21 +838,14 @@
</li>
-
-
-
- <li class="header">Part VI - Binary classification tutorials</li>
-
-
-
- <li class="chapter " data-level="6.1" data-path="../binaryclass/a9a.html">
+ <li class="chapter " data-level="6.2" data-path="../binaryclass/a9a.html">
<a href="../binaryclass/a9a.html">
- <b>6.1.</b>
+ <b>6.2.</b>
- a9a
+ a9a tutorial
</a>
@@ -833,12 +854,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.1.1" data-path="../binaryclass/a9a_dataset.html">
+ <li class="chapter " data-level="6.2.1" data-path="../binaryclass/a9a_dataset.html">
<a href="../binaryclass/a9a_dataset.html">
- <b>6.1.1.</b>
+ <b>6.2.1.</b>
Data preparation
@@ -848,12 +869,12 @@
</li>
- <li class="chapter " data-level="6.1.2" data-path="../binaryclass/a9a_lr.html">
+ <li class="chapter " data-level="6.2.2" data-path="../binaryclass/a9a_lr.html">
<a href="../binaryclass/a9a_lr.html">
- <b>6.1.2.</b>
+ <b>6.2.2.</b>
Logistic Regression
@@ -863,12 +884,12 @@
</li>
- <li class="chapter " data-level="6.1.3" data-path="../binaryclass/a9a_minibatch.html">
+ <li class="chapter " data-level="6.2.3" data-path="../binaryclass/a9a_minibatch.html">
<a href="../binaryclass/a9a_minibatch.html">
- <b>6.1.3.</b>
+ <b>6.2.3.</b>
Mini-batch Gradient Descent
@@ -883,14 +904,14 @@
</li>
- <li class="chapter " data-level="6.2" data-path="../binaryclass/news20.html">
+ <li class="chapter " data-level="6.3" data-path="../binaryclass/news20.html">
<a href="../binaryclass/news20.html">
- <b>6.2.</b>
+ <b>6.3.</b>
- News20
+ News20 tutorial
</a>
@@ -899,12 +920,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.2.1" data-path="../binaryclass/news20_dataset.html">
+ <li class="chapter " data-level="6.3.1" data-path="../binaryclass/news20_dataset.html">
<a href="../binaryclass/news20_dataset.html">
- <b>6.2.1.</b>
+ <b>6.3.1.</b>
Data preparation
@@ -914,12 +935,12 @@
</li>
- <li class="chapter " data-level="6.2.2" data-path="../binaryclass/news20_pa.html">
+ <li class="chapter " data-level="6.3.2" data-path="../binaryclass/news20_pa.html">
<a href="../binaryclass/news20_pa.html">
- <b>6.2.2.</b>
+ <b>6.3.2.</b>
Perceptron, Passive Aggressive
@@ -929,12 +950,12 @@
</li>
- <li class="chapter " data-level="6.2.3" data-path="../binaryclass/news20_scw.html">
+ <li class="chapter " data-level="6.3.3" data-path="../binaryclass/news20_scw.html">
<a href="../binaryclass/news20_scw.html">
- <b>6.2.3.</b>
+ <b>6.3.3.</b>
CW, AROW, SCW
@@ -944,12 +965,12 @@
</li>
- <li class="chapter " data-level="6.2.4" data-path="../binaryclass/news20_adagrad.html">
+ <li class="chapter " data-level="6.3.4" data-path="../binaryclass/news20_adagrad.html">
<a href="../binaryclass/news20_adagrad.html">
- <b>6.2.4.</b>
+ <b>6.3.4.</b>
AdaGradRDA, AdaGrad, AdaDelta
@@ -964,14 +985,14 @@
</li>
- <li class="chapter " data-level="6.3" data-path="../binaryclass/kdd2010a.html">
+ <li class="chapter " data-level="6.4" data-path="../binaryclass/kdd2010a.html">
<a href="../binaryclass/kdd2010a.html">
- <b>6.3.</b>
+ <b>6.4.</b>
- KDD2010a
+ KDD2010a tutorial
</a>
@@ -980,12 +1001,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.3.1" data-path="../binaryclass/kdd2010a_dataset.html">
+ <li class="chapter " data-level="6.4.1" data-path="../binaryclass/kdd2010a_dataset.html">
<a href="../binaryclass/kdd2010a_dataset.html">
- <b>6.3.1.</b>
+ <b>6.4.1.</b>
Data preparation
@@ -995,12 +1016,12 @@
</li>
- <li class="chapter " data-level="6.3.2" data-path="../binaryclass/kdd2010a_scw.html">
+ <li class="chapter " data-level="6.4.2" data-path="../binaryclass/kdd2010a_scw.html">
<a href="../binaryclass/kdd2010a_scw.html">
- <b>6.3.2.</b>
+ <b>6.4.2.</b>
PA, CW, AROW, SCW
@@ -1015,14 +1036,14 @@
</li>
- <li class="chapter " data-level="6.4" data-path="../binaryclass/kdd2010b.html">
+ <li class="chapter " data-level="6.5" data-path="../binaryclass/kdd2010b.html">
<a href="../binaryclass/kdd2010b.html">
- <b>6.4.</b>
+ <b>6.5.</b>
- KDD2010b
+ KDD2010b tutorial
</a>
@@ -1031,12 +1052,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.4.1" data-path="../binaryclass/kdd2010b_dataset.html">
+ <li class="chapter " data-level="6.5.1" data-path="../binaryclass/kdd2010b_dataset.html">
<a href="../binaryclass/kdd2010b_dataset.html">
- <b>6.4.1.</b>
+ <b>6.5.1.</b>
Data preparation
@@ -1046,12 +1067,12 @@
</li>
- <li class="chapter " data-level="6.4.2" data-path="../binaryclass/kdd2010b_arow.html">
+ <li class="chapter " data-level="6.5.2" data-path="../binaryclass/kdd2010b_arow.html">
<a href="../binaryclass/kdd2010b_arow.html">
- <b>6.4.2.</b>
+ <b>6.5.2.</b>
AROW
@@ -1066,14 +1087,14 @@
</li>
- <li class="chapter " data-level="6.5" data-path="../binaryclass/webspam.html">
+ <li class="chapter " data-level="6.6" data-path="../binaryclass/webspam.html">
<a href="../binaryclass/webspam.html">
- <b>6.5.</b>
+ <b>6.6.</b>
- Webspam
+ Webspam tutorial
</a>
@@ -1082,12 +1103,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.5.1" data-path="../binaryclass/webspam_dataset.html">
+ <li class="chapter " data-level="6.6.1" data-path="../binaryclass/webspam_dataset.html">
<a href="../binaryclass/webspam_dataset.html">
- <b>6.5.1.</b>
+ <b>6.6.1.</b>
Data pareparation
@@ -1097,12 +1118,12 @@
</li>
- <li class="chapter " data-level="6.5.2" data-path="../binaryclass/webspam_scw.html">
+ <li class="chapter " data-level="6.6.2" data-path="../binaryclass/webspam_scw.html">
<a href="../binaryclass/webspam_scw.html">
- <b>6.5.2.</b>
+ <b>6.6.2.</b>
PA1, AROW, SCW
@@ -1117,14 +1138,14 @@
</li>
- <li class="chapter " data-level="6.6" data-path="../binaryclass/titanic_rf.html">
+ <li class="chapter " data-level="6.7" data-path="../binaryclass/titanic_rf.html">
<a href="../binaryclass/titanic_rf.html">
- <b>6.6.</b>
+ <b>6.7.</b>
- Kaggle Titanic
+ Kaggle Titanic tutorial
</a>
@@ -1135,7 +1156,7 @@
- <li class="header">Part VII - Multiclass classification tutorials</li>
+ <li class="header">Part VII - Multiclass classification</li>
@@ -1146,7 +1167,7 @@
<b>7.1.</b>
- News20 Multiclass
+ News20 Multiclass tutorial
</a>
@@ -1257,7 +1278,7 @@
<b>7.2.</b>
- Iris
+ Iris tutorial
</a>
@@ -1319,18 +1340,33 @@
- <li class="header">Part VIII - Regression tutorials</li>
+ <li class="header">Part VIII - Regression</li>
- <li class="chapter " data-level="8.1" data-path="../regression/e2006.html">
+ <li class="chapter " data-level="8.1" data-path="../regression/general.html">
- <a href="../regression/e2006.html">
+ <a href="../regression/general.html">
<b>8.1.</b>
- E2006-tfidf regression
+ Regression
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="8.2" data-path="../regression/e2006.html">
+
+ <a href="../regression/e2006.html">
+
+
+ <b>8.2.</b>
+
+ E2006-tfidf regression tutorial
</a>
@@ -1339,12 +1375,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.1.1" data-path="../regression/e2006_dataset.html">
+ <li class="chapter " data-level="8.2.1" data-path="../regression/e2006_dataset.html">
<a href="../regression/e2006_dataset.html">
- <b>8.1.1.</b>
+ <b>8.2.1.</b>
Data preparation
@@ -1354,12 +1390,12 @@
</li>
- <li class="chapter " data-level="8.1.2" data-path="../regression/e2006_arow.html">
+ <li class="chapter " data-level="8.2.2" data-path="../regression/e2006_arow.html">
<a href="../regression/e2006_arow.html">
- <b>8.1.2.</b>
+ <b>8.2.2.</b>
Passive Aggressive, AROW
@@ -1374,14 +1410,14 @@
</li>
- <li class="chapter " data-level="8.2" data-path="../regression/kddcup12tr2.html">
+ <li class="chapter " data-level="8.3" data-path="../regression/kddcup12tr2.html">
<a href="../regression/kddcup12tr2.html">
- <b>8.2.</b>
+ <b>8.3.</b>
- KDDCup 2012 track 2 CTR prediction
+ KDDCup 2012 track 2 CTR prediction tutorial
</a>
@@ -1390,12 +1426,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.2.1" data-path="../regression/kddcup12tr2_dataset.html">
+ <li class="chapter " data-level="8.3.1" data-path="../regression/kddcup12tr2_dataset.html">
<a href="../regression/kddcup12tr2_dataset.html">
- <b>8.2.1.</b>
+ <b>8.3.1.</b>
Data preparation
@@ -1405,12 +1441,12 @@
</li>
- <li class="chapter " data-level="8.2.2" data-path="../regression/kddcup12tr2_lr.html">
+ <li class="chapter " data-level="8.3.2" data-path="../regression/kddcup12tr2_lr.html">
<a href="../regression/kddcup12tr2_lr.html">
- <b>8.2.2.</b>
+ <b>8.3.2.</b>
Logistic Regression, Passive Aggressive
@@ -1420,12 +1456,12 @@
</li>
- <li class="chapter " data-level="8.2.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
+ <li class="chapter " data-level="8.3.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
<a href="../regression/kddcup12tr2_lr_amplify.html">
- <b>8.2.3.</b>
+ <b>8.3.3.</b>
Logistic Regression with Amplifier
@@ -1435,12 +1471,12 @@
</li>
- <li class="chapter " data-level="8.2.4" data-path="../regression/kddcup12tr2_adagrad.html">
+ <li class="chapter " data-level="8.3.4" data-path="../regression/kddcup12tr2_adagrad.html">
<a href="../regression/kddcup12tr2_adagrad.html">
- <b>8.2.4.</b>
+ <b>8.3.4.</b>
AdaGrad, AdaDelta
@@ -2124,19 +2160,23 @@
<span class="hljs-keyword">select</span>
docid,
feature(word, <span class="hljs-keyword">count</span>(word)) <span class="hljs-keyword">as</span> f
- <span class="hljs-keyword">from</span> docs t1 lateral <span class="hljs-keyword">view</span> explode(tokenize(doc, <span class="hljs-literal">true</span>)) t2 <span class="hljs-keyword">as</span> word
+ <span class="hljs-keyword">from</span>
+ docs t1
+ lateral <span class="hljs-keyword">view</span> explode(tokenize(doc, <span class="hljs-literal">true</span>)) t2 <span class="hljs-keyword">as</span> word
<span class="hljs-keyword">where</span>
<span class="hljs-keyword">not</span> is_stopword(word)
<span class="hljs-keyword">group</span> <span class="hljs-keyword">by</span>
docid, word
-)
-<span class="hljs-keyword">select</span>
- train_plsa(feature, <span class="hljs-string">"-topics 2 -eps 0.00001 -iter 2048 -alpha 0.01"</span>) <span class="hljs-keyword">as</span> (label, word, prob)
-<span class="hljs-keyword">from</span> (
- <span class="hljs-keyword">select</span> docid, collect_set(f) <span class="hljs-keyword">as</span> feature
+),
+<span class="hljs-keyword">input</span> <span class="hljs-keyword">as</span> (
+ <span class="hljs-keyword">select</span> docid, collect_list(f) <span class="hljs-keyword">as</span> features
<span class="hljs-keyword">from</span> word_counts
<span class="hljs-keyword">group</span> <span class="hljs-keyword">by</span> docid
-) t
+)
+<span class="hljs-keyword">select</span>
+ train_plsa(features, <span class="hljs-string">'-topics 2 -eps 0.00001 -iter 2048 -alpha 0.01'</span>) <span class="hljs-keyword">as</span> (label, word, prob)
+<span class="hljs-keyword">from</span>
+ <span class="hljs-keyword">input</span>
;
</code></pre>
<table>
@@ -2246,7 +2286,9 @@
docid,
word,
<span class="hljs-keyword">count</span>(word) <span class="hljs-keyword">as</span> <span class="hljs-keyword">value</span>
- <span class="hljs-keyword">from</span> docs t1 LATERAL <span class="hljs-keyword">VIEW</span> explode(tokenize(doc, <span class="hljs-literal">true</span>)) t2 <span class="hljs-keyword">as</span> word
+ <span class="hljs-keyword">from</span>
+ docs t1
+ LATERAL <span class="hljs-keyword">VIEW</span> explode(tokenize(doc, <span class="hljs-literal">true</span>)) t2 <span class="hljs-keyword">as</span> word
<span class="hljs-keyword">where</span>
<span class="hljs-keyword">not</span> is_stopword(word)
<span class="hljs-keyword">group</span> <span class="hljs-keyword">by</span>
@@ -2255,20 +2297,25 @@
topic <span class="hljs-keyword">as</span> (
<span class="hljs-keyword">select</span>
t.docid,
- plsa_predict(t.word, t.<span class="hljs-keyword">value</span>, m.label, m.prob, <span class="hljs-string">"-topics 2"</span>) <span class="hljs-keyword">as</span> probabilities
+ plsa_predict(t.word, t.<span class="hljs-keyword">value</span>, m.label, m.prob, <span class="hljs-string">'-topics 2'</span>) <span class="hljs-keyword">as</span> probabilities
<span class="hljs-keyword">from</span>
<span class="hljs-keyword">test</span> t
<span class="hljs-keyword">JOIN</span> plsa_model m <span class="hljs-keyword">ON</span> (t.word = m.word)
<span class="hljs-keyword">group</span> <span class="hljs-keyword">by</span>
t.docid
)
-<span class="hljs-keyword">select</span> docid, probabilities, probabilities[<span class="hljs-number">0</span>].label, m.words <span class="hljs-comment">-- topic each document should be assigned</span>
-<span class="hljs-keyword">from</span> topic t
-<span class="hljs-keyword">join</span> (
- <span class="hljs-keyword">select</span> label, collect_set(feature(word, prob)) <span class="hljs-keyword">as</span> words
- <span class="hljs-keyword">from</span> plsa_model
- <span class="hljs-keyword">group</span> <span class="hljs-keyword">by</span> label
-) m <span class="hljs-keyword">on</span> t.probabilities[<span class="hljs-number">0</span>].label = m.label
+<span class="hljs-keyword">select</span>
+ docid,
+ probabilities,
+ probabilities[<span class="hljs-number">0</span>].label,
+ m.words <span class="hljs-comment">-- topic each document should be assigned</span>
+<span class="hljs-keyword">from</span>
+ topic t
+ <span class="hljs-keyword">JOIN</span> (
+ <span class="hljs-keyword">select</span> label, collect_list(feature(word, prob)) <span class="hljs-keyword">as</span> words
+ <span class="hljs-keyword">from</span> plsa_model
+ <span class="hljs-keyword">group</span> <span class="hljs-keyword">by</span> label
+ ) m <span class="hljs-keyword">on</span> t.probabilities[<span class="hljs-number">0</span>].label = m.label
;
</code></pre>
<table>
@@ -2301,7 +2348,7 @@ topic <span class="hljs-keyword">as</span> (
<p>For the reasons that we mentioned above, we recommend you to first use LDA. After that, if you encountered problems such as slow running time and undesirable clustering results, let you try alternative pLSA approach.</p>
<h1 id="setting-hyper-parameter-alpha">Setting hyper-parameter <code>alpha</code></h1>
<p>For training pLSA, we set a hyper-parameter <code>alpha</code> in the above example:</p>
-<pre><code class="lang-sql"><span class="hljs-keyword">SELECT</span> train_plsa(feature, <span class="hljs-string">"-topics 2 -eps 0.00001 -iter 2048 -alpha 0.01"</span>)
+<pre><code class="lang-sql"><span class="hljs-keyword">SELECT</span> train_plsa(feature, <span class="hljs-string">'-topics 2 -eps 0.00001 -iter 2048 -alpha 0.01'</span>)
</code></pre>
<p>This value controls <strong>how much iterative model update is affected by the old results</strong>.</p>
<p>From an algorithmic point of view, training pLSA (and LDA) iteratively repeats certain operations and updates the target value (i.e., probability obtained as a result of <code>train_plsa()</code>). This iterative procedure gradually makes the probabilities more accurate. What <code>alpha</code> does is to control the degree of the change of probabilities in each step.</p>
@@ -2309,7 +2356,7 @@ topic <span class="hljs-keyword">as</span> (
<pre><code>Perplexity would be Infinity. Try different mini-batch size `-s`, larger `-delta` and/or larger `-alpha`.
</code></pre><p>In that case, you need to try different hyper-parameters to avoid overfitting as the exception suggests.</p>
<p>For instance, <a href="http://qwone.com/~jason/20Newsgroups/" target="_blank">20 newsgroups dataset</a> which consists of 10906 realistic documents empirically requires the following options:</p>
-<pre><code class="lang-sql"><span class="hljs-keyword">SELECT</span> train_plsa(features, <span class="hljs-string">"-topics 20 -iter 10 -s 128 -delta 0.01 -alpha 512 -eps 0.1"</span>)
+<pre><code class="lang-sql"><span class="hljs-keyword">SELECT</span> train_plsa(features, <span class="hljs-string">'-topics 20 -iter 10 -s 128 -delta 0.01 -alpha 512 -eps 0.1'</span>)
</code></pre>
<p>Clearly, <code>alpha</code> is much larger than <code>0.01</code> which was used for the dummy data above. Let you keep in mind that an appropriate value of <code>alpha</code> highly depends on the number of documents and mini-batch size.
<div id="page-footer" class="localized-footer"><hr><!--
@@ -2367,7 +2414,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
<script>
var gitbook = gitbook || [];
gitbook.push(function() {
- gitbook.page.hasChanged({"page":{"title":"Probabilistic Latent Semantic Analysis","level":"11.2","depth":1,"next":{"title":"Lat/Lon functions","level":"12.1","depth":1,"path":"geospatial/latlon.md","ref":"geospatial/latlon.md","articles":[]},"previous":{"title":"Latent Dirichlet Allocation","level":"11.1","depth":1,"path":"clustering/lda.md","ref":"clustering/lda.md","articles":[]},"dir":"ltr"},"config":{"plugins":["theme-api","edit-link","github","splitter","sitemap","etoc","callouts","toggle-chapters","anchorjs","codeblock-filename","expandable-chapters","multipart","codeblock-filename","katex","emphasize","localized-footer"],"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"pluginsConfig":{"emphasize":{},"callouts":{},"etoc":{"h2lb":3,"header":1,"maxdepth":3,"mindepth":1,"notoc":true},"github":{"url":"https://github.com/apache/incubator-hivemall/"},"
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});
</script>
</div>
http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/ba518dab/userguide/docker/getting_started.html
----------------------------------------------------------------------
diff --git a/userguide/docker/getting_started.html b/userguide/docker/getting_started.html
index cbfa5c5..f9cadba 100644
--- a/userguide/docker/getting_started.html
+++ b/userguide/docker/getting_started.html
@@ -596,14 +596,30 @@
</li>
- <li class="chapter " data-level="3.5" data-path="../ft_engineering/tfidf.html">
+ <li class="chapter " data-level="3.5" data-path="../ft_engineering/pairing.html">
- <a href="../ft_engineering/tfidf.html">
+ <a href="../ft_engineering/pairing.html">
<b>3.5.</b>
- TF-IDF Calculation
+ FEATURE PAIRING
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="3.5.1" data-path="../ft_engineering/polynomial.html">
+
+ <a href="../ft_engineering/polynomial.html">
+
+
+ <b>3.5.1.</b>
+
+ Polynomial Features
</a>
@@ -611,6 +627,11 @@
</li>
+
+ </ul>
+
+ </li>
+
<li class="chapter " data-level="3.6" data-path="../ft_engineering/ft_trans.html">
<a href="../ft_engineering/ft_trans.html">
@@ -662,6 +683,21 @@
</li>
+ <li class="chapter " data-level="3.7" data-path="../ft_engineering/tfidf.html">
+
+ <a href="../ft_engineering/tfidf.html">
+
+
+ <b>3.7.</b>
+
+ TF-IDF Calculation
+
+ </a>
+
+
+
+ </li>
+
@@ -759,7 +795,7 @@
- <li class="header">Part V - Prediction</li>
+ <li class="header">Part V - Supervised Learning</li>
@@ -778,27 +814,19 @@
</li>
- <li class="chapter " data-level="5.2" data-path="../regression/general.html">
-
- <a href="../regression/general.html">
-
-
- <b>5.2.</b>
-
- Regression
-
- </a>
-
-
- </li>
- <li class="chapter " data-level="5.3" data-path="../binaryclass/general.html">
+
+ <li class="header">Part VI - Binary classification</li>
+
+
+
+ <li class="chapter " data-level="6.1" data-path="../binaryclass/general.html">
<a href="../binaryclass/general.html">
- <b>5.3.</b>
+ <b>6.1.</b>
Binary Classification
@@ -808,21 +836,14 @@
</li>
-
-
-
- <li class="header">Part VI - Binary classification tutorials</li>
-
-
-
- <li class="chapter " data-level="6.1" data-path="../binaryclass/a9a.html">
+ <li class="chapter " data-level="6.2" data-path="../binaryclass/a9a.html">
<a href="../binaryclass/a9a.html">
- <b>6.1.</b>
+ <b>6.2.</b>
- a9a
+ a9a tutorial
</a>
@@ -831,12 +852,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.1.1" data-path="../binaryclass/a9a_dataset.html">
+ <li class="chapter " data-level="6.2.1" data-path="../binaryclass/a9a_dataset.html">
<a href="../binaryclass/a9a_dataset.html">
- <b>6.1.1.</b>
+ <b>6.2.1.</b>
Data preparation
@@ -846,12 +867,12 @@
</li>
- <li class="chapter " data-level="6.1.2" data-path="../binaryclass/a9a_lr.html">
+ <li class="chapter " data-level="6.2.2" data-path="../binaryclass/a9a_lr.html">
<a href="../binaryclass/a9a_lr.html">
- <b>6.1.2.</b>
+ <b>6.2.2.</b>
Logistic Regression
@@ -861,12 +882,12 @@
</li>
- <li class="chapter " data-level="6.1.3" data-path="../binaryclass/a9a_minibatch.html">
+ <li class="chapter " data-level="6.2.3" data-path="../binaryclass/a9a_minibatch.html">
<a href="../binaryclass/a9a_minibatch.html">
- <b>6.1.3.</b>
+ <b>6.2.3.</b>
Mini-batch Gradient Descent
@@ -881,14 +902,14 @@
</li>
- <li class="chapter " data-level="6.2" data-path="../binaryclass/news20.html">
+ <li class="chapter " data-level="6.3" data-path="../binaryclass/news20.html">
<a href="../binaryclass/news20.html">
- <b>6.2.</b>
+ <b>6.3.</b>
- News20
+ News20 tutorial
</a>
@@ -897,12 +918,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.2.1" data-path="../binaryclass/news20_dataset.html">
+ <li class="chapter " data-level="6.3.1" data-path="../binaryclass/news20_dataset.html">
<a href="../binaryclass/news20_dataset.html">
- <b>6.2.1.</b>
+ <b>6.3.1.</b>
Data preparation
@@ -912,12 +933,12 @@
</li>
- <li class="chapter " data-level="6.2.2" data-path="../binaryclass/news20_pa.html">
+ <li class="chapter " data-level="6.3.2" data-path="../binaryclass/news20_pa.html">
<a href="../binaryclass/news20_pa.html">
- <b>6.2.2.</b>
+ <b>6.3.2.</b>
Perceptron, Passive Aggressive
@@ -927,12 +948,12 @@
</li>
- <li class="chapter " data-level="6.2.3" data-path="../binaryclass/news20_scw.html">
+ <li class="chapter " data-level="6.3.3" data-path="../binaryclass/news20_scw.html">
<a href="../binaryclass/news20_scw.html">
- <b>6.2.3.</b>
+ <b>6.3.3.</b>
CW, AROW, SCW
@@ -942,12 +963,12 @@
</li>
- <li class="chapter " data-level="6.2.4" data-path="../binaryclass/news20_adagrad.html">
+ <li class="chapter " data-level="6.3.4" data-path="../binaryclass/news20_adagrad.html">
<a href="../binaryclass/news20_adagrad.html">
- <b>6.2.4.</b>
+ <b>6.3.4.</b>
AdaGradRDA, AdaGrad, AdaDelta
@@ -962,14 +983,14 @@
</li>
- <li class="chapter " data-level="6.3" data-path="../binaryclass/kdd2010a.html">
+ <li class="chapter " data-level="6.4" data-path="../binaryclass/kdd2010a.html">
<a href="../binaryclass/kdd2010a.html">
- <b>6.3.</b>
+ <b>6.4.</b>
- KDD2010a
+ KDD2010a tutorial
</a>
@@ -978,12 +999,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.3.1" data-path="../binaryclass/kdd2010a_dataset.html">
+ <li class="chapter " data-level="6.4.1" data-path="../binaryclass/kdd2010a_dataset.html">
<a href="../binaryclass/kdd2010a_dataset.html">
- <b>6.3.1.</b>
+ <b>6.4.1.</b>
Data preparation
@@ -993,12 +1014,12 @@
</li>
- <li class="chapter " data-level="6.3.2" data-path="../binaryclass/kdd2010a_scw.html">
+ <li class="chapter " data-level="6.4.2" data-path="../binaryclass/kdd2010a_scw.html">
<a href="../binaryclass/kdd2010a_scw.html">
- <b>6.3.2.</b>
+ <b>6.4.2.</b>
PA, CW, AROW, SCW
@@ -1013,14 +1034,14 @@
</li>
- <li class="chapter " data-level="6.4" data-path="../binaryclass/kdd2010b.html">
+ <li class="chapter " data-level="6.5" data-path="../binaryclass/kdd2010b.html">
<a href="../binaryclass/kdd2010b.html">
- <b>6.4.</b>
+ <b>6.5.</b>
- KDD2010b
+ KDD2010b tutorial
</a>
@@ -1029,12 +1050,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.4.1" data-path="../binaryclass/kdd2010b_dataset.html">
+ <li class="chapter " data-level="6.5.1" data-path="../binaryclass/kdd2010b_dataset.html">
<a href="../binaryclass/kdd2010b_dataset.html">
- <b>6.4.1.</b>
+ <b>6.5.1.</b>
Data preparation
@@ -1044,12 +1065,12 @@
</li>
- <li class="chapter " data-level="6.4.2" data-path="../binaryclass/kdd2010b_arow.html">
+ <li class="chapter " data-level="6.5.2" data-path="../binaryclass/kdd2010b_arow.html">
<a href="../binaryclass/kdd2010b_arow.html">
- <b>6.4.2.</b>
+ <b>6.5.2.</b>
AROW
@@ -1064,14 +1085,14 @@
</li>
- <li class="chapter " data-level="6.5" data-path="../binaryclass/webspam.html">
+ <li class="chapter " data-level="6.6" data-path="../binaryclass/webspam.html">
<a href="../binaryclass/webspam.html">
- <b>6.5.</b>
+ <b>6.6.</b>
- Webspam
+ Webspam tutorial
</a>
@@ -1080,12 +1101,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.5.1" data-path="../binaryclass/webspam_dataset.html">
+ <li class="chapter " data-level="6.6.1" data-path="../binaryclass/webspam_dataset.html">
<a href="../binaryclass/webspam_dataset.html">
- <b>6.5.1.</b>
+ <b>6.6.1.</b>
Data pareparation
@@ -1095,12 +1116,12 @@
</li>
- <li class="chapter " data-level="6.5.2" data-path="../binaryclass/webspam_scw.html">
+ <li class="chapter " data-level="6.6.2" data-path="../binaryclass/webspam_scw.html">
<a href="../binaryclass/webspam_scw.html">
- <b>6.5.2.</b>
+ <b>6.6.2.</b>
PA1, AROW, SCW
@@ -1115,14 +1136,14 @@
</li>
- <li class="chapter " data-level="6.6" data-path="../binaryclass/titanic_rf.html">
+ <li class="chapter " data-level="6.7" data-path="../binaryclass/titanic_rf.html">
<a href="../binaryclass/titanic_rf.html">
- <b>6.6.</b>
+ <b>6.7.</b>
- Kaggle Titanic
+ Kaggle Titanic tutorial
</a>
@@ -1133,7 +1154,7 @@
- <li class="header">Part VII - Multiclass classification tutorials</li>
+ <li class="header">Part VII - Multiclass classification</li>
@@ -1144,7 +1165,7 @@
<b>7.1.</b>
- News20 Multiclass
+ News20 Multiclass tutorial
</a>
@@ -1255,7 +1276,7 @@
<b>7.2.</b>
- Iris
+ Iris tutorial
</a>
@@ -1317,18 +1338,33 @@
- <li class="header">Part VIII - Regression tutorials</li>
+ <li class="header">Part VIII - Regression</li>
- <li class="chapter " data-level="8.1" data-path="../regression/e2006.html">
+ <li class="chapter " data-level="8.1" data-path="../regression/general.html">
- <a href="../regression/e2006.html">
+ <a href="../regression/general.html">
<b>8.1.</b>
- E2006-tfidf regression
+ Regression
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="8.2" data-path="../regression/e2006.html">
+
+ <a href="../regression/e2006.html">
+
+
+ <b>8.2.</b>
+
+ E2006-tfidf regression tutorial
</a>
@@ -1337,12 +1373,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.1.1" data-path="../regression/e2006_dataset.html">
+ <li class="chapter " data-level="8.2.1" data-path="../regression/e2006_dataset.html">
<a href="../regression/e2006_dataset.html">
- <b>8.1.1.</b>
+ <b>8.2.1.</b>
Data preparation
@@ -1352,12 +1388,12 @@
</li>
- <li class="chapter " data-level="8.1.2" data-path="../regression/e2006_arow.html">
+ <li class="chapter " data-level="8.2.2" data-path="../regression/e2006_arow.html">
<a href="../regression/e2006_arow.html">
- <b>8.1.2.</b>
+ <b>8.2.2.</b>
Passive Aggressive, AROW
@@ -1372,14 +1408,14 @@
</li>
- <li class="chapter " data-level="8.2" data-path="../regression/kddcup12tr2.html">
+ <li class="chapter " data-level="8.3" data-path="../regression/kddcup12tr2.html">
<a href="../regression/kddcup12tr2.html">
- <b>8.2.</b>
+ <b>8.3.</b>
- KDDCup 2012 track 2 CTR prediction
+ KDDCup 2012 track 2 CTR prediction tutorial
</a>
@@ -1388,12 +1424,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.2.1" data-path="../regression/kddcup12tr2_dataset.html">
+ <li class="chapter " data-level="8.3.1" data-path="../regression/kddcup12tr2_dataset.html">
<a href="../regression/kddcup12tr2_dataset.html">
- <b>8.2.1.</b>
+ <b>8.3.1.</b>
Data preparation
@@ -1403,12 +1439,12 @@
</li>
- <li class="chapter " data-level="8.2.2" data-path="../regression/kddcup12tr2_lr.html">
+ <li class="chapter " data-level="8.3.2" data-path="../regression/kddcup12tr2_lr.html">
<a href="../regression/kddcup12tr2_lr.html">
- <b>8.2.2.</b>
+ <b>8.3.2.</b>
Logistic Regression, Passive Aggressive
@@ -1418,12 +1454,12 @@
</li>
- <li class="chapter " data-level="8.2.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
+ <li class="chapter " data-level="8.3.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
<a href="../regression/kddcup12tr2_lr_amplify.html">
- <b>8.2.3.</b>
+ <b>8.3.3.</b>
Logistic Regression with Amplifier
@@ -1433,12 +1469,12 @@
</li>
- <li class="chapter " data-level="8.2.4" data-path="../regression/kddcup12tr2_adagrad.html">
+ <li class="chapter " data-level="8.3.4" data-path="../regression/kddcup12tr2_adagrad.html">
<a href="../regression/kddcup12tr2_adagrad.html">
- <b>8.2.4.</b>
+ <b>8.3.4.</b>
AdaGrad, AdaDelta
@@ -2220,7 +2256,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
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http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/ba518dab/userguide/eval/auc.html
----------------------------------------------------------------------
diff --git a/userguide/eval/auc.html b/userguide/eval/auc.html
index 044075b..ad66883 100644
--- a/userguide/eval/auc.html
+++ b/userguide/eval/auc.html
@@ -598,14 +598,30 @@
</li>
- <li class="chapter " data-level="3.5" data-path="../ft_engineering/tfidf.html">
+ <li class="chapter " data-level="3.5" data-path="../ft_engineering/pairing.html">
- <a href="../ft_engineering/tfidf.html">
+ <a href="../ft_engineering/pairing.html">
<b>3.5.</b>
- TF-IDF Calculation
+ FEATURE PAIRING
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="3.5.1" data-path="../ft_engineering/polynomial.html">
+
+ <a href="../ft_engineering/polynomial.html">
+
+
+ <b>3.5.1.</b>
+
+ Polynomial Features
</a>
@@ -613,6 +629,11 @@
</li>
+
+ </ul>
+
+ </li>
+
<li class="chapter " data-level="3.6" data-path="../ft_engineering/ft_trans.html">
<a href="../ft_engineering/ft_trans.html">
@@ -664,6 +685,21 @@
</li>
+ <li class="chapter " data-level="3.7" data-path="../ft_engineering/tfidf.html">
+
+ <a href="../ft_engineering/tfidf.html">
+
+
+ <b>3.7.</b>
+
+ TF-IDF Calculation
+
+ </a>
+
+
+
+ </li>
+
@@ -761,7 +797,7 @@
- <li class="header">Part V - Prediction</li>
+ <li class="header">Part V - Supervised Learning</li>
@@ -780,27 +816,19 @@
</li>
- <li class="chapter " data-level="5.2" data-path="../regression/general.html">
-
- <a href="../regression/general.html">
-
-
- <b>5.2.</b>
-
- Regression
-
- </a>
-
-
- </li>
- <li class="chapter " data-level="5.3" data-path="../binaryclass/general.html">
+
+ <li class="header">Part VI - Binary classification</li>
+
+
+
+ <li class="chapter " data-level="6.1" data-path="../binaryclass/general.html">
<a href="../binaryclass/general.html">
- <b>5.3.</b>
+ <b>6.1.</b>
Binary Classification
@@ -810,21 +838,14 @@
</li>
-
-
-
- <li class="header">Part VI - Binary classification tutorials</li>
-
-
-
- <li class="chapter " data-level="6.1" data-path="../binaryclass/a9a.html">
+ <li class="chapter " data-level="6.2" data-path="../binaryclass/a9a.html">
<a href="../binaryclass/a9a.html">
- <b>6.1.</b>
+ <b>6.2.</b>
- a9a
+ a9a tutorial
</a>
@@ -833,12 +854,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.1.1" data-path="../binaryclass/a9a_dataset.html">
+ <li class="chapter " data-level="6.2.1" data-path="../binaryclass/a9a_dataset.html">
<a href="../binaryclass/a9a_dataset.html">
- <b>6.1.1.</b>
+ <b>6.2.1.</b>
Data preparation
@@ -848,12 +869,12 @@
</li>
- <li class="chapter " data-level="6.1.2" data-path="../binaryclass/a9a_lr.html">
+ <li class="chapter " data-level="6.2.2" data-path="../binaryclass/a9a_lr.html">
<a href="../binaryclass/a9a_lr.html">
- <b>6.1.2.</b>
+ <b>6.2.2.</b>
Logistic Regression
@@ -863,12 +884,12 @@
</li>
- <li class="chapter " data-level="6.1.3" data-path="../binaryclass/a9a_minibatch.html">
+ <li class="chapter " data-level="6.2.3" data-path="../binaryclass/a9a_minibatch.html">
<a href="../binaryclass/a9a_minibatch.html">
- <b>6.1.3.</b>
+ <b>6.2.3.</b>
Mini-batch Gradient Descent
@@ -883,14 +904,14 @@
</li>
- <li class="chapter " data-level="6.2" data-path="../binaryclass/news20.html">
+ <li class="chapter " data-level="6.3" data-path="../binaryclass/news20.html">
<a href="../binaryclass/news20.html">
- <b>6.2.</b>
+ <b>6.3.</b>
- News20
+ News20 tutorial
</a>
@@ -899,12 +920,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.2.1" data-path="../binaryclass/news20_dataset.html">
+ <li class="chapter " data-level="6.3.1" data-path="../binaryclass/news20_dataset.html">
<a href="../binaryclass/news20_dataset.html">
- <b>6.2.1.</b>
+ <b>6.3.1.</b>
Data preparation
@@ -914,12 +935,12 @@
</li>
- <li class="chapter " data-level="6.2.2" data-path="../binaryclass/news20_pa.html">
+ <li class="chapter " data-level="6.3.2" data-path="../binaryclass/news20_pa.html">
<a href="../binaryclass/news20_pa.html">
- <b>6.2.2.</b>
+ <b>6.3.2.</b>
Perceptron, Passive Aggressive
@@ -929,12 +950,12 @@
</li>
- <li class="chapter " data-level="6.2.3" data-path="../binaryclass/news20_scw.html">
+ <li class="chapter " data-level="6.3.3" data-path="../binaryclass/news20_scw.html">
<a href="../binaryclass/news20_scw.html">
- <b>6.2.3.</b>
+ <b>6.3.3.</b>
CW, AROW, SCW
@@ -944,12 +965,12 @@
</li>
- <li class="chapter " data-level="6.2.4" data-path="../binaryclass/news20_adagrad.html">
+ <li class="chapter " data-level="6.3.4" data-path="../binaryclass/news20_adagrad.html">
<a href="../binaryclass/news20_adagrad.html">
- <b>6.2.4.</b>
+ <b>6.3.4.</b>
AdaGradRDA, AdaGrad, AdaDelta
@@ -964,14 +985,14 @@
</li>
- <li class="chapter " data-level="6.3" data-path="../binaryclass/kdd2010a.html">
+ <li class="chapter " data-level="6.4" data-path="../binaryclass/kdd2010a.html">
<a href="../binaryclass/kdd2010a.html">
- <b>6.3.</b>
+ <b>6.4.</b>
- KDD2010a
+ KDD2010a tutorial
</a>
@@ -980,12 +1001,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.3.1" data-path="../binaryclass/kdd2010a_dataset.html">
+ <li class="chapter " data-level="6.4.1" data-path="../binaryclass/kdd2010a_dataset.html">
<a href="../binaryclass/kdd2010a_dataset.html">
- <b>6.3.1.</b>
+ <b>6.4.1.</b>
Data preparation
@@ -995,12 +1016,12 @@
</li>
- <li class="chapter " data-level="6.3.2" data-path="../binaryclass/kdd2010a_scw.html">
+ <li class="chapter " data-level="6.4.2" data-path="../binaryclass/kdd2010a_scw.html">
<a href="../binaryclass/kdd2010a_scw.html">
- <b>6.3.2.</b>
+ <b>6.4.2.</b>
PA, CW, AROW, SCW
@@ -1015,14 +1036,14 @@
</li>
- <li class="chapter " data-level="6.4" data-path="../binaryclass/kdd2010b.html">
+ <li class="chapter " data-level="6.5" data-path="../binaryclass/kdd2010b.html">
<a href="../binaryclass/kdd2010b.html">
- <b>6.4.</b>
+ <b>6.5.</b>
- KDD2010b
+ KDD2010b tutorial
</a>
@@ -1031,12 +1052,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.4.1" data-path="../binaryclass/kdd2010b_dataset.html">
+ <li class="chapter " data-level="6.5.1" data-path="../binaryclass/kdd2010b_dataset.html">
<a href="../binaryclass/kdd2010b_dataset.html">
- <b>6.4.1.</b>
+ <b>6.5.1.</b>
Data preparation
@@ -1046,12 +1067,12 @@
</li>
- <li class="chapter " data-level="6.4.2" data-path="../binaryclass/kdd2010b_arow.html">
+ <li class="chapter " data-level="6.5.2" data-path="../binaryclass/kdd2010b_arow.html">
<a href="../binaryclass/kdd2010b_arow.html">
- <b>6.4.2.</b>
+ <b>6.5.2.</b>
AROW
@@ -1066,14 +1087,14 @@
</li>
- <li class="chapter " data-level="6.5" data-path="../binaryclass/webspam.html">
+ <li class="chapter " data-level="6.6" data-path="../binaryclass/webspam.html">
<a href="../binaryclass/webspam.html">
- <b>6.5.</b>
+ <b>6.6.</b>
- Webspam
+ Webspam tutorial
</a>
@@ -1082,12 +1103,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.5.1" data-path="../binaryclass/webspam_dataset.html">
+ <li class="chapter " data-level="6.6.1" data-path="../binaryclass/webspam_dataset.html">
<a href="../binaryclass/webspam_dataset.html">
- <b>6.5.1.</b>
+ <b>6.6.1.</b>
Data pareparation
@@ -1097,12 +1118,12 @@
</li>
- <li class="chapter " data-level="6.5.2" data-path="../binaryclass/webspam_scw.html">
+ <li class="chapter " data-level="6.6.2" data-path="../binaryclass/webspam_scw.html">
<a href="../binaryclass/webspam_scw.html">
- <b>6.5.2.</b>
+ <b>6.6.2.</b>
PA1, AROW, SCW
@@ -1117,14 +1138,14 @@
</li>
- <li class="chapter " data-level="6.6" data-path="../binaryclass/titanic_rf.html">
+ <li class="chapter " data-level="6.7" data-path="../binaryclass/titanic_rf.html">
<a href="../binaryclass/titanic_rf.html">
- <b>6.6.</b>
+ <b>6.7.</b>
- Kaggle Titanic
+ Kaggle Titanic tutorial
</a>
@@ -1135,7 +1156,7 @@
- <li class="header">Part VII - Multiclass classification tutorials</li>
+ <li class="header">Part VII - Multiclass classification</li>
@@ -1146,7 +1167,7 @@
<b>7.1.</b>
- News20 Multiclass
+ News20 Multiclass tutorial
</a>
@@ -1257,7 +1278,7 @@
<b>7.2.</b>
- Iris
+ Iris tutorial
</a>
@@ -1319,18 +1340,33 @@
- <li class="header">Part VIII - Regression tutorials</li>
+ <li class="header">Part VIII - Regression</li>
- <li class="chapter " data-level="8.1" data-path="../regression/e2006.html">
+ <li class="chapter " data-level="8.1" data-path="../regression/general.html">
- <a href="../regression/e2006.html">
+ <a href="../regression/general.html">
<b>8.1.</b>
- E2006-tfidf regression
+ Regression
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="8.2" data-path="../regression/e2006.html">
+
+ <a href="../regression/e2006.html">
+
+
+ <b>8.2.</b>
+
+ E2006-tfidf regression tutorial
</a>
@@ -1339,12 +1375,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.1.1" data-path="../regression/e2006_dataset.html">
+ <li class="chapter " data-level="8.2.1" data-path="../regression/e2006_dataset.html">
<a href="../regression/e2006_dataset.html">
- <b>8.1.1.</b>
+ <b>8.2.1.</b>
Data preparation
@@ -1354,12 +1390,12 @@
</li>
- <li class="chapter " data-level="8.1.2" data-path="../regression/e2006_arow.html">
+ <li class="chapter " data-level="8.2.2" data-path="../regression/e2006_arow.html">
<a href="../regression/e2006_arow.html">
- <b>8.1.2.</b>
+ <b>8.2.2.</b>
Passive Aggressive, AROW
@@ -1374,14 +1410,14 @@
</li>
- <li class="chapter " data-level="8.2" data-path="../regression/kddcup12tr2.html">
+ <li class="chapter " data-level="8.3" data-path="../regression/kddcup12tr2.html">
<a href="../regression/kddcup12tr2.html">
- <b>8.2.</b>
+ <b>8.3.</b>
- KDDCup 2012 track 2 CTR prediction
+ KDDCup 2012 track 2 CTR prediction tutorial
</a>
@@ -1390,12 +1426,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.2.1" data-path="../regression/kddcup12tr2_dataset.html">
+ <li class="chapter " data-level="8.3.1" data-path="../regression/kddcup12tr2_dataset.html">
<a href="../regression/kddcup12tr2_dataset.html">
- <b>8.2.1.</b>
+ <b>8.3.1.</b>
Data preparation
@@ -1405,12 +1441,12 @@
</li>
- <li class="chapter " data-level="8.2.2" data-path="../regression/kddcup12tr2_lr.html">
+ <li class="chapter " data-level="8.3.2" data-path="../regression/kddcup12tr2_lr.html">
<a href="../regression/kddcup12tr2_lr.html">
- <b>8.2.2.</b>
+ <b>8.3.2.</b>
Logistic Regression, Passive Aggressive
@@ -1420,12 +1456,12 @@
</li>
- <li class="chapter " data-level="8.2.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
+ <li class="chapter " data-level="8.3.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
<a href="../regression/kddcup12tr2_lr_amplify.html">
- <b>8.2.3.</b>
+ <b>8.3.3.</b>
Logistic Regression with Amplifier
@@ -1435,12 +1471,12 @@
</li>
- <li class="chapter " data-level="8.2.4" data-path="../regression/kddcup12tr2_adagrad.html">
+ <li class="chapter " data-level="8.3.4" data-path="../regression/kddcup12tr2_adagrad.html">
<a href="../regression/kddcup12tr2_adagrad.html">
- <b>8.2.4.</b>
+ <b>8.3.4.</b>
AdaGrad, AdaDelta
@@ -2078,7 +2114,11 @@
<ul>
<li><a href="#area-under-the-roc-curve">Area Under the ROC Curve</a></li>
-<li><a href="#compute-auc-on-hivemall">Compute AUC on Hivemall</a></li>
+<li><a href="#compute-auc-on-hivemall">Compute AUC on Hivemall</a><ul>
+<li><a href="#sequential-auc-computation-on-a-single-node">Sequential AUC computation on a single node</a></li>
+<li><a href="#parallel-approximate-auc-computation">Parallel approximate AUC computation</a></li>
+</ul>
+</li>
<li><a href="#difference-between-auc-and-logarithmic-loss">Difference between AUC and Logarithmic Loss</a></li>
</ul>
@@ -2120,7 +2160,8 @@
<p>Once the rows are sorted by the probabilities in a descending order, AUC gives a metric based on how many positive (<code>label=1</code>) samples are ranked higher than negative (<code>label=0</code>) samples. If many positive rows get larger scores than negative rows, AUC would be large, and hence our classifier would perform well.</p>
<h1 id="compute-auc-on-hivemall">Compute AUC on Hivemall</h1>
<p>In Hivemall, a function <code>auc(double score, int label)</code> provides a way to compute AUC for pairs of probability and truth label.</p>
-<p>For instance, following query computes AUC of the table which was shown above:</p>
+<h2 id="sequential-auc-computation-on-a-single-node">Sequential AUC computation on a single node</h2>
+<p>For instance, the following query computes AUC of the table which was shown above:</p>
<pre><code class="lang-sql">with data as (
<span class="hljs-keyword">select</span> <span class="hljs-number">0.5</span> <span class="hljs-keyword">as</span> prob, <span class="hljs-number">0</span> <span class="hljs-keyword">as</span> label
<span class="hljs-keyword">union</span> all
@@ -2142,6 +2183,7 @@
</code></pre>
<p>This query returns <code>0.83333</code> as AUC.</p>
<p>Since AUC is a metric based on ranked probability-label pairs as mentioned above, input data (rows) needs to be ordered by scores in a descending order.</p>
+<h2 id="parallel-approximate-auc-computation">Parallel approximate AUC computation</h2>
<p>Meanwhile, Hive's <code>distribute by</code> clause allows you to compute AUC in parallel: </p>
<pre><code class="lang-sql">with data as (
<span class="hljs-keyword">select</span> <span class="hljs-number">0.5</span> <span class="hljs-keyword">as</span> prob, <span class="hljs-number">0</span> <span class="hljs-keyword">as</span> label
@@ -2154,7 +2196,8 @@
<span class="hljs-keyword">union</span> all
<span class="hljs-keyword">select</span> <span class="hljs-number">0.7</span> <span class="hljs-keyword">as</span> prob, <span class="hljs-number">1</span> <span class="hljs-keyword">as</span> label
)
-<span class="hljs-keyword">select</span> auc(prob, label) <span class="hljs-keyword">as</span> auc
+<span class="hljs-keyword">select</span>
+ auc(prob, label) <span class="hljs-keyword">as</span> auc
<span class="hljs-keyword">from</span> (
<span class="hljs-keyword">select</span> prob, label
<span class="hljs-keyword">from</span> <span class="hljs-keyword">data</span>
@@ -2222,7 +2265,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
<script>
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</div>
[05/41] incubator-hivemall-site git commit: Added descriptions about
Feature Pairing in the user guide
Posted by my...@apache.org.
http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/ba518dab/userguide/tips/emr.html
----------------------------------------------------------------------
diff --git a/userguide/tips/emr.html b/userguide/tips/emr.html
index b4adadf..276a0cb 100644
--- a/userguide/tips/emr.html
+++ b/userguide/tips/emr.html
@@ -598,14 +598,30 @@
</li>
- <li class="chapter " data-level="3.5" data-path="../ft_engineering/tfidf.html">
+ <li class="chapter " data-level="3.5" data-path="../ft_engineering/pairing.html">
- <a href="../ft_engineering/tfidf.html">
+ <a href="../ft_engineering/pairing.html">
<b>3.5.</b>
- TF-IDF Calculation
+ FEATURE PAIRING
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="3.5.1" data-path="../ft_engineering/polynomial.html">
+
+ <a href="../ft_engineering/polynomial.html">
+
+
+ <b>3.5.1.</b>
+
+ Polynomial Features
</a>
@@ -613,6 +629,11 @@
</li>
+
+ </ul>
+
+ </li>
+
<li class="chapter " data-level="3.6" data-path="../ft_engineering/ft_trans.html">
<a href="../ft_engineering/ft_trans.html">
@@ -664,6 +685,21 @@
</li>
+ <li class="chapter " data-level="3.7" data-path="../ft_engineering/tfidf.html">
+
+ <a href="../ft_engineering/tfidf.html">
+
+
+ <b>3.7.</b>
+
+ TF-IDF Calculation
+
+ </a>
+
+
+
+ </li>
+
@@ -761,7 +797,7 @@
- <li class="header">Part V - Prediction</li>
+ <li class="header">Part V - Supervised Learning</li>
@@ -780,27 +816,19 @@
</li>
- <li class="chapter " data-level="5.2" data-path="../regression/general.html">
-
- <a href="../regression/general.html">
-
-
- <b>5.2.</b>
-
- Regression
-
- </a>
-
-
- </li>
- <li class="chapter " data-level="5.3" data-path="../binaryclass/general.html">
+
+ <li class="header">Part VI - Binary classification</li>
+
+
+
+ <li class="chapter " data-level="6.1" data-path="../binaryclass/general.html">
<a href="../binaryclass/general.html">
- <b>5.3.</b>
+ <b>6.1.</b>
Binary Classification
@@ -810,21 +838,14 @@
</li>
-
-
-
- <li class="header">Part VI - Binary classification tutorials</li>
-
-
-
- <li class="chapter " data-level="6.1" data-path="../binaryclass/a9a.html">
+ <li class="chapter " data-level="6.2" data-path="../binaryclass/a9a.html">
<a href="../binaryclass/a9a.html">
- <b>6.1.</b>
+ <b>6.2.</b>
- a9a
+ a9a tutorial
</a>
@@ -833,12 +854,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.1.1" data-path="../binaryclass/a9a_dataset.html">
+ <li class="chapter " data-level="6.2.1" data-path="../binaryclass/a9a_dataset.html">
<a href="../binaryclass/a9a_dataset.html">
- <b>6.1.1.</b>
+ <b>6.2.1.</b>
Data preparation
@@ -848,12 +869,12 @@
</li>
- <li class="chapter " data-level="6.1.2" data-path="../binaryclass/a9a_lr.html">
+ <li class="chapter " data-level="6.2.2" data-path="../binaryclass/a9a_lr.html">
<a href="../binaryclass/a9a_lr.html">
- <b>6.1.2.</b>
+ <b>6.2.2.</b>
Logistic Regression
@@ -863,12 +884,12 @@
</li>
- <li class="chapter " data-level="6.1.3" data-path="../binaryclass/a9a_minibatch.html">
+ <li class="chapter " data-level="6.2.3" data-path="../binaryclass/a9a_minibatch.html">
<a href="../binaryclass/a9a_minibatch.html">
- <b>6.1.3.</b>
+ <b>6.2.3.</b>
Mini-batch Gradient Descent
@@ -883,14 +904,14 @@
</li>
- <li class="chapter " data-level="6.2" data-path="../binaryclass/news20.html">
+ <li class="chapter " data-level="6.3" data-path="../binaryclass/news20.html">
<a href="../binaryclass/news20.html">
- <b>6.2.</b>
+ <b>6.3.</b>
- News20
+ News20 tutorial
</a>
@@ -899,12 +920,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.2.1" data-path="../binaryclass/news20_dataset.html">
+ <li class="chapter " data-level="6.3.1" data-path="../binaryclass/news20_dataset.html">
<a href="../binaryclass/news20_dataset.html">
- <b>6.2.1.</b>
+ <b>6.3.1.</b>
Data preparation
@@ -914,12 +935,12 @@
</li>
- <li class="chapter " data-level="6.2.2" data-path="../binaryclass/news20_pa.html">
+ <li class="chapter " data-level="6.3.2" data-path="../binaryclass/news20_pa.html">
<a href="../binaryclass/news20_pa.html">
- <b>6.2.2.</b>
+ <b>6.3.2.</b>
Perceptron, Passive Aggressive
@@ -929,12 +950,12 @@
</li>
- <li class="chapter " data-level="6.2.3" data-path="../binaryclass/news20_scw.html">
+ <li class="chapter " data-level="6.3.3" data-path="../binaryclass/news20_scw.html">
<a href="../binaryclass/news20_scw.html">
- <b>6.2.3.</b>
+ <b>6.3.3.</b>
CW, AROW, SCW
@@ -944,12 +965,12 @@
</li>
- <li class="chapter " data-level="6.2.4" data-path="../binaryclass/news20_adagrad.html">
+ <li class="chapter " data-level="6.3.4" data-path="../binaryclass/news20_adagrad.html">
<a href="../binaryclass/news20_adagrad.html">
- <b>6.2.4.</b>
+ <b>6.3.4.</b>
AdaGradRDA, AdaGrad, AdaDelta
@@ -964,14 +985,14 @@
</li>
- <li class="chapter " data-level="6.3" data-path="../binaryclass/kdd2010a.html">
+ <li class="chapter " data-level="6.4" data-path="../binaryclass/kdd2010a.html">
<a href="../binaryclass/kdd2010a.html">
- <b>6.3.</b>
+ <b>6.4.</b>
- KDD2010a
+ KDD2010a tutorial
</a>
@@ -980,12 +1001,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.3.1" data-path="../binaryclass/kdd2010a_dataset.html">
+ <li class="chapter " data-level="6.4.1" data-path="../binaryclass/kdd2010a_dataset.html">
<a href="../binaryclass/kdd2010a_dataset.html">
- <b>6.3.1.</b>
+ <b>6.4.1.</b>
Data preparation
@@ -995,12 +1016,12 @@
</li>
- <li class="chapter " data-level="6.3.2" data-path="../binaryclass/kdd2010a_scw.html">
+ <li class="chapter " data-level="6.4.2" data-path="../binaryclass/kdd2010a_scw.html">
<a href="../binaryclass/kdd2010a_scw.html">
- <b>6.3.2.</b>
+ <b>6.4.2.</b>
PA, CW, AROW, SCW
@@ -1015,14 +1036,14 @@
</li>
- <li class="chapter " data-level="6.4" data-path="../binaryclass/kdd2010b.html">
+ <li class="chapter " data-level="6.5" data-path="../binaryclass/kdd2010b.html">
<a href="../binaryclass/kdd2010b.html">
- <b>6.4.</b>
+ <b>6.5.</b>
- KDD2010b
+ KDD2010b tutorial
</a>
@@ -1031,12 +1052,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.4.1" data-path="../binaryclass/kdd2010b_dataset.html">
+ <li class="chapter " data-level="6.5.1" data-path="../binaryclass/kdd2010b_dataset.html">
<a href="../binaryclass/kdd2010b_dataset.html">
- <b>6.4.1.</b>
+ <b>6.5.1.</b>
Data preparation
@@ -1046,12 +1067,12 @@
</li>
- <li class="chapter " data-level="6.4.2" data-path="../binaryclass/kdd2010b_arow.html">
+ <li class="chapter " data-level="6.5.2" data-path="../binaryclass/kdd2010b_arow.html">
<a href="../binaryclass/kdd2010b_arow.html">
- <b>6.4.2.</b>
+ <b>6.5.2.</b>
AROW
@@ -1066,14 +1087,14 @@
</li>
- <li class="chapter " data-level="6.5" data-path="../binaryclass/webspam.html">
+ <li class="chapter " data-level="6.6" data-path="../binaryclass/webspam.html">
<a href="../binaryclass/webspam.html">
- <b>6.5.</b>
+ <b>6.6.</b>
- Webspam
+ Webspam tutorial
</a>
@@ -1082,12 +1103,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.5.1" data-path="../binaryclass/webspam_dataset.html">
+ <li class="chapter " data-level="6.6.1" data-path="../binaryclass/webspam_dataset.html">
<a href="../binaryclass/webspam_dataset.html">
- <b>6.5.1.</b>
+ <b>6.6.1.</b>
Data pareparation
@@ -1097,12 +1118,12 @@
</li>
- <li class="chapter " data-level="6.5.2" data-path="../binaryclass/webspam_scw.html">
+ <li class="chapter " data-level="6.6.2" data-path="../binaryclass/webspam_scw.html">
<a href="../binaryclass/webspam_scw.html">
- <b>6.5.2.</b>
+ <b>6.6.2.</b>
PA1, AROW, SCW
@@ -1117,14 +1138,14 @@
</li>
- <li class="chapter " data-level="6.6" data-path="../binaryclass/titanic_rf.html">
+ <li class="chapter " data-level="6.7" data-path="../binaryclass/titanic_rf.html">
<a href="../binaryclass/titanic_rf.html">
- <b>6.6.</b>
+ <b>6.7.</b>
- Kaggle Titanic
+ Kaggle Titanic tutorial
</a>
@@ -1135,7 +1156,7 @@
- <li class="header">Part VII - Multiclass classification tutorials</li>
+ <li class="header">Part VII - Multiclass classification</li>
@@ -1146,7 +1167,7 @@
<b>7.1.</b>
- News20 Multiclass
+ News20 Multiclass tutorial
</a>
@@ -1257,7 +1278,7 @@
<b>7.2.</b>
- Iris
+ Iris tutorial
</a>
@@ -1319,18 +1340,33 @@
- <li class="header">Part VIII - Regression tutorials</li>
+ <li class="header">Part VIII - Regression</li>
- <li class="chapter " data-level="8.1" data-path="../regression/e2006.html">
+ <li class="chapter " data-level="8.1" data-path="../regression/general.html">
- <a href="../regression/e2006.html">
+ <a href="../regression/general.html">
<b>8.1.</b>
- E2006-tfidf regression
+ Regression
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="8.2" data-path="../regression/e2006.html">
+
+ <a href="../regression/e2006.html">
+
+
+ <b>8.2.</b>
+
+ E2006-tfidf regression tutorial
</a>
@@ -1339,12 +1375,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.1.1" data-path="../regression/e2006_dataset.html">
+ <li class="chapter " data-level="8.2.1" data-path="../regression/e2006_dataset.html">
<a href="../regression/e2006_dataset.html">
- <b>8.1.1.</b>
+ <b>8.2.1.</b>
Data preparation
@@ -1354,12 +1390,12 @@
</li>
- <li class="chapter " data-level="8.1.2" data-path="../regression/e2006_arow.html">
+ <li class="chapter " data-level="8.2.2" data-path="../regression/e2006_arow.html">
<a href="../regression/e2006_arow.html">
- <b>8.1.2.</b>
+ <b>8.2.2.</b>
Passive Aggressive, AROW
@@ -1374,14 +1410,14 @@
</li>
- <li class="chapter " data-level="8.2" data-path="../regression/kddcup12tr2.html">
+ <li class="chapter " data-level="8.3" data-path="../regression/kddcup12tr2.html">
<a href="../regression/kddcup12tr2.html">
- <b>8.2.</b>
+ <b>8.3.</b>
- KDDCup 2012 track 2 CTR prediction
+ KDDCup 2012 track 2 CTR prediction tutorial
</a>
@@ -1390,12 +1426,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.2.1" data-path="../regression/kddcup12tr2_dataset.html">
+ <li class="chapter " data-level="8.3.1" data-path="../regression/kddcup12tr2_dataset.html">
<a href="../regression/kddcup12tr2_dataset.html">
- <b>8.2.1.</b>
+ <b>8.3.1.</b>
Data preparation
@@ -1405,12 +1441,12 @@
</li>
- <li class="chapter " data-level="8.2.2" data-path="../regression/kddcup12tr2_lr.html">
+ <li class="chapter " data-level="8.3.2" data-path="../regression/kddcup12tr2_lr.html">
<a href="../regression/kddcup12tr2_lr.html">
- <b>8.2.2.</b>
+ <b>8.3.2.</b>
Logistic Regression, Passive Aggressive
@@ -1420,12 +1456,12 @@
</li>
- <li class="chapter " data-level="8.2.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
+ <li class="chapter " data-level="8.3.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
<a href="../regression/kddcup12tr2_lr_amplify.html">
- <b>8.2.3.</b>
+ <b>8.3.3.</b>
Logistic Regression with Amplifier
@@ -1435,12 +1471,12 @@
</li>
- <li class="chapter " data-level="8.2.4" data-path="../regression/kddcup12tr2_adagrad.html">
+ <li class="chapter " data-level="8.3.4" data-path="../regression/kddcup12tr2_adagrad.html">
<a href="../regression/kddcup12tr2_adagrad.html">
- <b>8.2.4.</b>
+ <b>8.3.4.</b>
AdaGrad, AdaDelta
@@ -2305,7 +2341,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
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http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/ba518dab/userguide/tips/ensemble_learning.html
----------------------------------------------------------------------
diff --git a/userguide/tips/ensemble_learning.html b/userguide/tips/ensemble_learning.html
index 0866177..ba20748 100644
--- a/userguide/tips/ensemble_learning.html
+++ b/userguide/tips/ensemble_learning.html
@@ -598,14 +598,30 @@
</li>
- <li class="chapter " data-level="3.5" data-path="../ft_engineering/tfidf.html">
+ <li class="chapter " data-level="3.5" data-path="../ft_engineering/pairing.html">
- <a href="../ft_engineering/tfidf.html">
+ <a href="../ft_engineering/pairing.html">
<b>3.5.</b>
- TF-IDF Calculation
+ FEATURE PAIRING
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="3.5.1" data-path="../ft_engineering/polynomial.html">
+
+ <a href="../ft_engineering/polynomial.html">
+
+
+ <b>3.5.1.</b>
+
+ Polynomial Features
</a>
@@ -613,6 +629,11 @@
</li>
+
+ </ul>
+
+ </li>
+
<li class="chapter " data-level="3.6" data-path="../ft_engineering/ft_trans.html">
<a href="../ft_engineering/ft_trans.html">
@@ -664,6 +685,21 @@
</li>
+ <li class="chapter " data-level="3.7" data-path="../ft_engineering/tfidf.html">
+
+ <a href="../ft_engineering/tfidf.html">
+
+
+ <b>3.7.</b>
+
+ TF-IDF Calculation
+
+ </a>
+
+
+
+ </li>
+
@@ -761,7 +797,7 @@
- <li class="header">Part V - Prediction</li>
+ <li class="header">Part V - Supervised Learning</li>
@@ -780,27 +816,19 @@
</li>
- <li class="chapter " data-level="5.2" data-path="../regression/general.html">
-
- <a href="../regression/general.html">
-
-
- <b>5.2.</b>
-
- Regression
-
- </a>
-
-
- </li>
- <li class="chapter " data-level="5.3" data-path="../binaryclass/general.html">
+
+ <li class="header">Part VI - Binary classification</li>
+
+
+
+ <li class="chapter " data-level="6.1" data-path="../binaryclass/general.html">
<a href="../binaryclass/general.html">
- <b>5.3.</b>
+ <b>6.1.</b>
Binary Classification
@@ -810,21 +838,14 @@
</li>
-
-
-
- <li class="header">Part VI - Binary classification tutorials</li>
-
-
-
- <li class="chapter " data-level="6.1" data-path="../binaryclass/a9a.html">
+ <li class="chapter " data-level="6.2" data-path="../binaryclass/a9a.html">
<a href="../binaryclass/a9a.html">
- <b>6.1.</b>
+ <b>6.2.</b>
- a9a
+ a9a tutorial
</a>
@@ -833,12 +854,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.1.1" data-path="../binaryclass/a9a_dataset.html">
+ <li class="chapter " data-level="6.2.1" data-path="../binaryclass/a9a_dataset.html">
<a href="../binaryclass/a9a_dataset.html">
- <b>6.1.1.</b>
+ <b>6.2.1.</b>
Data preparation
@@ -848,12 +869,12 @@
</li>
- <li class="chapter " data-level="6.1.2" data-path="../binaryclass/a9a_lr.html">
+ <li class="chapter " data-level="6.2.2" data-path="../binaryclass/a9a_lr.html">
<a href="../binaryclass/a9a_lr.html">
- <b>6.1.2.</b>
+ <b>6.2.2.</b>
Logistic Regression
@@ -863,12 +884,12 @@
</li>
- <li class="chapter " data-level="6.1.3" data-path="../binaryclass/a9a_minibatch.html">
+ <li class="chapter " data-level="6.2.3" data-path="../binaryclass/a9a_minibatch.html">
<a href="../binaryclass/a9a_minibatch.html">
- <b>6.1.3.</b>
+ <b>6.2.3.</b>
Mini-batch Gradient Descent
@@ -883,14 +904,14 @@
</li>
- <li class="chapter " data-level="6.2" data-path="../binaryclass/news20.html">
+ <li class="chapter " data-level="6.3" data-path="../binaryclass/news20.html">
<a href="../binaryclass/news20.html">
- <b>6.2.</b>
+ <b>6.3.</b>
- News20
+ News20 tutorial
</a>
@@ -899,12 +920,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.2.1" data-path="../binaryclass/news20_dataset.html">
+ <li class="chapter " data-level="6.3.1" data-path="../binaryclass/news20_dataset.html">
<a href="../binaryclass/news20_dataset.html">
- <b>6.2.1.</b>
+ <b>6.3.1.</b>
Data preparation
@@ -914,12 +935,12 @@
</li>
- <li class="chapter " data-level="6.2.2" data-path="../binaryclass/news20_pa.html">
+ <li class="chapter " data-level="6.3.2" data-path="../binaryclass/news20_pa.html">
<a href="../binaryclass/news20_pa.html">
- <b>6.2.2.</b>
+ <b>6.3.2.</b>
Perceptron, Passive Aggressive
@@ -929,12 +950,12 @@
</li>
- <li class="chapter " data-level="6.2.3" data-path="../binaryclass/news20_scw.html">
+ <li class="chapter " data-level="6.3.3" data-path="../binaryclass/news20_scw.html">
<a href="../binaryclass/news20_scw.html">
- <b>6.2.3.</b>
+ <b>6.3.3.</b>
CW, AROW, SCW
@@ -944,12 +965,12 @@
</li>
- <li class="chapter " data-level="6.2.4" data-path="../binaryclass/news20_adagrad.html">
+ <li class="chapter " data-level="6.3.4" data-path="../binaryclass/news20_adagrad.html">
<a href="../binaryclass/news20_adagrad.html">
- <b>6.2.4.</b>
+ <b>6.3.4.</b>
AdaGradRDA, AdaGrad, AdaDelta
@@ -964,14 +985,14 @@
</li>
- <li class="chapter " data-level="6.3" data-path="../binaryclass/kdd2010a.html">
+ <li class="chapter " data-level="6.4" data-path="../binaryclass/kdd2010a.html">
<a href="../binaryclass/kdd2010a.html">
- <b>6.3.</b>
+ <b>6.4.</b>
- KDD2010a
+ KDD2010a tutorial
</a>
@@ -980,12 +1001,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.3.1" data-path="../binaryclass/kdd2010a_dataset.html">
+ <li class="chapter " data-level="6.4.1" data-path="../binaryclass/kdd2010a_dataset.html">
<a href="../binaryclass/kdd2010a_dataset.html">
- <b>6.3.1.</b>
+ <b>6.4.1.</b>
Data preparation
@@ -995,12 +1016,12 @@
</li>
- <li class="chapter " data-level="6.3.2" data-path="../binaryclass/kdd2010a_scw.html">
+ <li class="chapter " data-level="6.4.2" data-path="../binaryclass/kdd2010a_scw.html">
<a href="../binaryclass/kdd2010a_scw.html">
- <b>6.3.2.</b>
+ <b>6.4.2.</b>
PA, CW, AROW, SCW
@@ -1015,14 +1036,14 @@
</li>
- <li class="chapter " data-level="6.4" data-path="../binaryclass/kdd2010b.html">
+ <li class="chapter " data-level="6.5" data-path="../binaryclass/kdd2010b.html">
<a href="../binaryclass/kdd2010b.html">
- <b>6.4.</b>
+ <b>6.5.</b>
- KDD2010b
+ KDD2010b tutorial
</a>
@@ -1031,12 +1052,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.4.1" data-path="../binaryclass/kdd2010b_dataset.html">
+ <li class="chapter " data-level="6.5.1" data-path="../binaryclass/kdd2010b_dataset.html">
<a href="../binaryclass/kdd2010b_dataset.html">
- <b>6.4.1.</b>
+ <b>6.5.1.</b>
Data preparation
@@ -1046,12 +1067,12 @@
</li>
- <li class="chapter " data-level="6.4.2" data-path="../binaryclass/kdd2010b_arow.html">
+ <li class="chapter " data-level="6.5.2" data-path="../binaryclass/kdd2010b_arow.html">
<a href="../binaryclass/kdd2010b_arow.html">
- <b>6.4.2.</b>
+ <b>6.5.2.</b>
AROW
@@ -1066,14 +1087,14 @@
</li>
- <li class="chapter " data-level="6.5" data-path="../binaryclass/webspam.html">
+ <li class="chapter " data-level="6.6" data-path="../binaryclass/webspam.html">
<a href="../binaryclass/webspam.html">
- <b>6.5.</b>
+ <b>6.6.</b>
- Webspam
+ Webspam tutorial
</a>
@@ -1082,12 +1103,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.5.1" data-path="../binaryclass/webspam_dataset.html">
+ <li class="chapter " data-level="6.6.1" data-path="../binaryclass/webspam_dataset.html">
<a href="../binaryclass/webspam_dataset.html">
- <b>6.5.1.</b>
+ <b>6.6.1.</b>
Data pareparation
@@ -1097,12 +1118,12 @@
</li>
- <li class="chapter " data-level="6.5.2" data-path="../binaryclass/webspam_scw.html">
+ <li class="chapter " data-level="6.6.2" data-path="../binaryclass/webspam_scw.html">
<a href="../binaryclass/webspam_scw.html">
- <b>6.5.2.</b>
+ <b>6.6.2.</b>
PA1, AROW, SCW
@@ -1117,14 +1138,14 @@
</li>
- <li class="chapter " data-level="6.6" data-path="../binaryclass/titanic_rf.html">
+ <li class="chapter " data-level="6.7" data-path="../binaryclass/titanic_rf.html">
<a href="../binaryclass/titanic_rf.html">
- <b>6.6.</b>
+ <b>6.7.</b>
- Kaggle Titanic
+ Kaggle Titanic tutorial
</a>
@@ -1135,7 +1156,7 @@
- <li class="header">Part VII - Multiclass classification tutorials</li>
+ <li class="header">Part VII - Multiclass classification</li>
@@ -1146,7 +1167,7 @@
<b>7.1.</b>
- News20 Multiclass
+ News20 Multiclass tutorial
</a>
@@ -1257,7 +1278,7 @@
<b>7.2.</b>
- Iris
+ Iris tutorial
</a>
@@ -1319,18 +1340,33 @@
- <li class="header">Part VIII - Regression tutorials</li>
+ <li class="header">Part VIII - Regression</li>
- <li class="chapter " data-level="8.1" data-path="../regression/e2006.html">
+ <li class="chapter " data-level="8.1" data-path="../regression/general.html">
- <a href="../regression/e2006.html">
+ <a href="../regression/general.html">
<b>8.1.</b>
- E2006-tfidf regression
+ Regression
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="8.2" data-path="../regression/e2006.html">
+
+ <a href="../regression/e2006.html">
+
+
+ <b>8.2.</b>
+
+ E2006-tfidf regression tutorial
</a>
@@ -1339,12 +1375,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.1.1" data-path="../regression/e2006_dataset.html">
+ <li class="chapter " data-level="8.2.1" data-path="../regression/e2006_dataset.html">
<a href="../regression/e2006_dataset.html">
- <b>8.1.1.</b>
+ <b>8.2.1.</b>
Data preparation
@@ -1354,12 +1390,12 @@
</li>
- <li class="chapter " data-level="8.1.2" data-path="../regression/e2006_arow.html">
+ <li class="chapter " data-level="8.2.2" data-path="../regression/e2006_arow.html">
<a href="../regression/e2006_arow.html">
- <b>8.1.2.</b>
+ <b>8.2.2.</b>
Passive Aggressive, AROW
@@ -1374,14 +1410,14 @@
</li>
- <li class="chapter " data-level="8.2" data-path="../regression/kddcup12tr2.html">
+ <li class="chapter " data-level="8.3" data-path="../regression/kddcup12tr2.html">
<a href="../regression/kddcup12tr2.html">
- <b>8.2.</b>
+ <b>8.3.</b>
- KDDCup 2012 track 2 CTR prediction
+ KDDCup 2012 track 2 CTR prediction tutorial
</a>
@@ -1390,12 +1426,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.2.1" data-path="../regression/kddcup12tr2_dataset.html">
+ <li class="chapter " data-level="8.3.1" data-path="../regression/kddcup12tr2_dataset.html">
<a href="../regression/kddcup12tr2_dataset.html">
- <b>8.2.1.</b>
+ <b>8.3.1.</b>
Data preparation
@@ -1405,12 +1441,12 @@
</li>
- <li class="chapter " data-level="8.2.2" data-path="../regression/kddcup12tr2_lr.html">
+ <li class="chapter " data-level="8.3.2" data-path="../regression/kddcup12tr2_lr.html">
<a href="../regression/kddcup12tr2_lr.html">
- <b>8.2.2.</b>
+ <b>8.3.2.</b>
Logistic Regression, Passive Aggressive
@@ -1420,12 +1456,12 @@
</li>
- <li class="chapter " data-level="8.2.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
+ <li class="chapter " data-level="8.3.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
<a href="../regression/kddcup12tr2_lr_amplify.html">
- <b>8.2.3.</b>
+ <b>8.3.3.</b>
Logistic Regression with Amplifier
@@ -1435,12 +1471,12 @@
</li>
- <li class="chapter " data-level="8.2.4" data-path="../regression/kddcup12tr2_adagrad.html">
+ <li class="chapter " data-level="8.3.4" data-path="../regression/kddcup12tr2_adagrad.html">
<a href="../regression/kddcup12tr2_adagrad.html">
- <b>8.2.4.</b>
+ <b>8.3.4.</b>
AdaGrad, AdaDelta
@@ -2340,7 +2376,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
<script>
var gitbook = gitbook || [];
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----------------------------------------------------------------------
diff --git a/userguide/tips/general_tips.html b/userguide/tips/general_tips.html
index 9599ad0..7361486 100644
--- a/userguide/tips/general_tips.html
+++ b/userguide/tips/general_tips.html
@@ -598,14 +598,30 @@
</li>
- <li class="chapter " data-level="3.5" data-path="../ft_engineering/tfidf.html">
+ <li class="chapter " data-level="3.5" data-path="../ft_engineering/pairing.html">
- <a href="../ft_engineering/tfidf.html">
+ <a href="../ft_engineering/pairing.html">
<b>3.5.</b>
- TF-IDF Calculation
+ FEATURE PAIRING
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="3.5.1" data-path="../ft_engineering/polynomial.html">
+
+ <a href="../ft_engineering/polynomial.html">
+
+
+ <b>3.5.1.</b>
+
+ Polynomial Features
</a>
@@ -613,6 +629,11 @@
</li>
+
+ </ul>
+
+ </li>
+
<li class="chapter " data-level="3.6" data-path="../ft_engineering/ft_trans.html">
<a href="../ft_engineering/ft_trans.html">
@@ -664,6 +685,21 @@
</li>
+ <li class="chapter " data-level="3.7" data-path="../ft_engineering/tfidf.html">
+
+ <a href="../ft_engineering/tfidf.html">
+
+
+ <b>3.7.</b>
+
+ TF-IDF Calculation
+
+ </a>
+
+
+
+ </li>
+
@@ -761,7 +797,7 @@
- <li class="header">Part V - Prediction</li>
+ <li class="header">Part V - Supervised Learning</li>
@@ -780,27 +816,19 @@
</li>
- <li class="chapter " data-level="5.2" data-path="../regression/general.html">
-
- <a href="../regression/general.html">
-
-
- <b>5.2.</b>
-
- Regression
-
- </a>
-
-
- </li>
- <li class="chapter " data-level="5.3" data-path="../binaryclass/general.html">
+
+ <li class="header">Part VI - Binary classification</li>
+
+
+
+ <li class="chapter " data-level="6.1" data-path="../binaryclass/general.html">
<a href="../binaryclass/general.html">
- <b>5.3.</b>
+ <b>6.1.</b>
Binary Classification
@@ -810,21 +838,14 @@
</li>
-
-
-
- <li class="header">Part VI - Binary classification tutorials</li>
-
-
-
- <li class="chapter " data-level="6.1" data-path="../binaryclass/a9a.html">
+ <li class="chapter " data-level="6.2" data-path="../binaryclass/a9a.html">
<a href="../binaryclass/a9a.html">
- <b>6.1.</b>
+ <b>6.2.</b>
- a9a
+ a9a tutorial
</a>
@@ -833,12 +854,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.1.1" data-path="../binaryclass/a9a_dataset.html">
+ <li class="chapter " data-level="6.2.1" data-path="../binaryclass/a9a_dataset.html">
<a href="../binaryclass/a9a_dataset.html">
- <b>6.1.1.</b>
+ <b>6.2.1.</b>
Data preparation
@@ -848,12 +869,12 @@
</li>
- <li class="chapter " data-level="6.1.2" data-path="../binaryclass/a9a_lr.html">
+ <li class="chapter " data-level="6.2.2" data-path="../binaryclass/a9a_lr.html">
<a href="../binaryclass/a9a_lr.html">
- <b>6.1.2.</b>
+ <b>6.2.2.</b>
Logistic Regression
@@ -863,12 +884,12 @@
</li>
- <li class="chapter " data-level="6.1.3" data-path="../binaryclass/a9a_minibatch.html">
+ <li class="chapter " data-level="6.2.3" data-path="../binaryclass/a9a_minibatch.html">
<a href="../binaryclass/a9a_minibatch.html">
- <b>6.1.3.</b>
+ <b>6.2.3.</b>
Mini-batch Gradient Descent
@@ -883,14 +904,14 @@
</li>
- <li class="chapter " data-level="6.2" data-path="../binaryclass/news20.html">
+ <li class="chapter " data-level="6.3" data-path="../binaryclass/news20.html">
<a href="../binaryclass/news20.html">
- <b>6.2.</b>
+ <b>6.3.</b>
- News20
+ News20 tutorial
</a>
@@ -899,12 +920,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.2.1" data-path="../binaryclass/news20_dataset.html">
+ <li class="chapter " data-level="6.3.1" data-path="../binaryclass/news20_dataset.html">
<a href="../binaryclass/news20_dataset.html">
- <b>6.2.1.</b>
+ <b>6.3.1.</b>
Data preparation
@@ -914,12 +935,12 @@
</li>
- <li class="chapter " data-level="6.2.2" data-path="../binaryclass/news20_pa.html">
+ <li class="chapter " data-level="6.3.2" data-path="../binaryclass/news20_pa.html">
<a href="../binaryclass/news20_pa.html">
- <b>6.2.2.</b>
+ <b>6.3.2.</b>
Perceptron, Passive Aggressive
@@ -929,12 +950,12 @@
</li>
- <li class="chapter " data-level="6.2.3" data-path="../binaryclass/news20_scw.html">
+ <li class="chapter " data-level="6.3.3" data-path="../binaryclass/news20_scw.html">
<a href="../binaryclass/news20_scw.html">
- <b>6.2.3.</b>
+ <b>6.3.3.</b>
CW, AROW, SCW
@@ -944,12 +965,12 @@
</li>
- <li class="chapter " data-level="6.2.4" data-path="../binaryclass/news20_adagrad.html">
+ <li class="chapter " data-level="6.3.4" data-path="../binaryclass/news20_adagrad.html">
<a href="../binaryclass/news20_adagrad.html">
- <b>6.2.4.</b>
+ <b>6.3.4.</b>
AdaGradRDA, AdaGrad, AdaDelta
@@ -964,14 +985,14 @@
</li>
- <li class="chapter " data-level="6.3" data-path="../binaryclass/kdd2010a.html">
+ <li class="chapter " data-level="6.4" data-path="../binaryclass/kdd2010a.html">
<a href="../binaryclass/kdd2010a.html">
- <b>6.3.</b>
+ <b>6.4.</b>
- KDD2010a
+ KDD2010a tutorial
</a>
@@ -980,12 +1001,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.3.1" data-path="../binaryclass/kdd2010a_dataset.html">
+ <li class="chapter " data-level="6.4.1" data-path="../binaryclass/kdd2010a_dataset.html">
<a href="../binaryclass/kdd2010a_dataset.html">
- <b>6.3.1.</b>
+ <b>6.4.1.</b>
Data preparation
@@ -995,12 +1016,12 @@
</li>
- <li class="chapter " data-level="6.3.2" data-path="../binaryclass/kdd2010a_scw.html">
+ <li class="chapter " data-level="6.4.2" data-path="../binaryclass/kdd2010a_scw.html">
<a href="../binaryclass/kdd2010a_scw.html">
- <b>6.3.2.</b>
+ <b>6.4.2.</b>
PA, CW, AROW, SCW
@@ -1015,14 +1036,14 @@
</li>
- <li class="chapter " data-level="6.4" data-path="../binaryclass/kdd2010b.html">
+ <li class="chapter " data-level="6.5" data-path="../binaryclass/kdd2010b.html">
<a href="../binaryclass/kdd2010b.html">
- <b>6.4.</b>
+ <b>6.5.</b>
- KDD2010b
+ KDD2010b tutorial
</a>
@@ -1031,12 +1052,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.4.1" data-path="../binaryclass/kdd2010b_dataset.html">
+ <li class="chapter " data-level="6.5.1" data-path="../binaryclass/kdd2010b_dataset.html">
<a href="../binaryclass/kdd2010b_dataset.html">
- <b>6.4.1.</b>
+ <b>6.5.1.</b>
Data preparation
@@ -1046,12 +1067,12 @@
</li>
- <li class="chapter " data-level="6.4.2" data-path="../binaryclass/kdd2010b_arow.html">
+ <li class="chapter " data-level="6.5.2" data-path="../binaryclass/kdd2010b_arow.html">
<a href="../binaryclass/kdd2010b_arow.html">
- <b>6.4.2.</b>
+ <b>6.5.2.</b>
AROW
@@ -1066,14 +1087,14 @@
</li>
- <li class="chapter " data-level="6.5" data-path="../binaryclass/webspam.html">
+ <li class="chapter " data-level="6.6" data-path="../binaryclass/webspam.html">
<a href="../binaryclass/webspam.html">
- <b>6.5.</b>
+ <b>6.6.</b>
- Webspam
+ Webspam tutorial
</a>
@@ -1082,12 +1103,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.5.1" data-path="../binaryclass/webspam_dataset.html">
+ <li class="chapter " data-level="6.6.1" data-path="../binaryclass/webspam_dataset.html">
<a href="../binaryclass/webspam_dataset.html">
- <b>6.5.1.</b>
+ <b>6.6.1.</b>
Data pareparation
@@ -1097,12 +1118,12 @@
</li>
- <li class="chapter " data-level="6.5.2" data-path="../binaryclass/webspam_scw.html">
+ <li class="chapter " data-level="6.6.2" data-path="../binaryclass/webspam_scw.html">
<a href="../binaryclass/webspam_scw.html">
- <b>6.5.2.</b>
+ <b>6.6.2.</b>
PA1, AROW, SCW
@@ -1117,14 +1138,14 @@
</li>
- <li class="chapter " data-level="6.6" data-path="../binaryclass/titanic_rf.html">
+ <li class="chapter " data-level="6.7" data-path="../binaryclass/titanic_rf.html">
<a href="../binaryclass/titanic_rf.html">
- <b>6.6.</b>
+ <b>6.7.</b>
- Kaggle Titanic
+ Kaggle Titanic tutorial
</a>
@@ -1135,7 +1156,7 @@
- <li class="header">Part VII - Multiclass classification tutorials</li>
+ <li class="header">Part VII - Multiclass classification</li>
@@ -1146,7 +1167,7 @@
<b>7.1.</b>
- News20 Multiclass
+ News20 Multiclass tutorial
</a>
@@ -1257,7 +1278,7 @@
<b>7.2.</b>
- Iris
+ Iris tutorial
</a>
@@ -1319,18 +1340,33 @@
- <li class="header">Part VIII - Regression tutorials</li>
+ <li class="header">Part VIII - Regression</li>
- <li class="chapter " data-level="8.1" data-path="../regression/e2006.html">
+ <li class="chapter " data-level="8.1" data-path="../regression/general.html">
- <a href="../regression/e2006.html">
+ <a href="../regression/general.html">
<b>8.1.</b>
- E2006-tfidf regression
+ Regression
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="8.2" data-path="../regression/e2006.html">
+
+ <a href="../regression/e2006.html">
+
+
+ <b>8.2.</b>
+
+ E2006-tfidf regression tutorial
</a>
@@ -1339,12 +1375,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.1.1" data-path="../regression/e2006_dataset.html">
+ <li class="chapter " data-level="8.2.1" data-path="../regression/e2006_dataset.html">
<a href="../regression/e2006_dataset.html">
- <b>8.1.1.</b>
+ <b>8.2.1.</b>
Data preparation
@@ -1354,12 +1390,12 @@
</li>
- <li class="chapter " data-level="8.1.2" data-path="../regression/e2006_arow.html">
+ <li class="chapter " data-level="8.2.2" data-path="../regression/e2006_arow.html">
<a href="../regression/e2006_arow.html">
- <b>8.1.2.</b>
+ <b>8.2.2.</b>
Passive Aggressive, AROW
@@ -1374,14 +1410,14 @@
</li>
- <li class="chapter " data-level="8.2" data-path="../regression/kddcup12tr2.html">
+ <li class="chapter " data-level="8.3" data-path="../regression/kddcup12tr2.html">
<a href="../regression/kddcup12tr2.html">
- <b>8.2.</b>
+ <b>8.3.</b>
- KDDCup 2012 track 2 CTR prediction
+ KDDCup 2012 track 2 CTR prediction tutorial
</a>
@@ -1390,12 +1426,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.2.1" data-path="../regression/kddcup12tr2_dataset.html">
+ <li class="chapter " data-level="8.3.1" data-path="../regression/kddcup12tr2_dataset.html">
<a href="../regression/kddcup12tr2_dataset.html">
- <b>8.2.1.</b>
+ <b>8.3.1.</b>
Data preparation
@@ -1405,12 +1441,12 @@
</li>
- <li class="chapter " data-level="8.2.2" data-path="../regression/kddcup12tr2_lr.html">
+ <li class="chapter " data-level="8.3.2" data-path="../regression/kddcup12tr2_lr.html">
<a href="../regression/kddcup12tr2_lr.html">
- <b>8.2.2.</b>
+ <b>8.3.2.</b>
Logistic Regression, Passive Aggressive
@@ -1420,12 +1456,12 @@
</li>
- <li class="chapter " data-level="8.2.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
+ <li class="chapter " data-level="8.3.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
<a href="../regression/kddcup12tr2_lr_amplify.html">
- <b>8.2.3.</b>
+ <b>8.3.3.</b>
Logistic Regression with Amplifier
@@ -1435,12 +1471,12 @@
</li>
- <li class="chapter " data-level="8.2.4" data-path="../regression/kddcup12tr2_adagrad.html">
+ <li class="chapter " data-level="8.3.4" data-path="../regression/kddcup12tr2_adagrad.html">
<a href="../regression/kddcup12tr2_adagrad.html">
- <b>8.2.4.</b>
+ <b>8.3.4.</b>
AdaGrad, AdaDelta
@@ -2129,7 +2165,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
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[36/41] incubator-hivemall-site git commit: Added descriptions about
Feature Pairing in the user guide
Posted by my...@apache.org.
http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/ba518dab/userguide/binaryclass/news20_adagrad.html
----------------------------------------------------------------------
diff --git a/userguide/binaryclass/news20_adagrad.html b/userguide/binaryclass/news20_adagrad.html
index 6da861d..e2c966d 100644
--- a/userguide/binaryclass/news20_adagrad.html
+++ b/userguide/binaryclass/news20_adagrad.html
@@ -598,14 +598,30 @@
</li>
- <li class="chapter " data-level="3.5" data-path="../ft_engineering/tfidf.html">
+ <li class="chapter " data-level="3.5" data-path="../ft_engineering/pairing.html">
- <a href="../ft_engineering/tfidf.html">
+ <a href="../ft_engineering/pairing.html">
<b>3.5.</b>
- TF-IDF Calculation
+ FEATURE PAIRING
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="3.5.1" data-path="../ft_engineering/polynomial.html">
+
+ <a href="../ft_engineering/polynomial.html">
+
+
+ <b>3.5.1.</b>
+
+ Polynomial Features
</a>
@@ -613,6 +629,11 @@
</li>
+
+ </ul>
+
+ </li>
+
<li class="chapter " data-level="3.6" data-path="../ft_engineering/ft_trans.html">
<a href="../ft_engineering/ft_trans.html">
@@ -664,6 +685,21 @@
</li>
+ <li class="chapter " data-level="3.7" data-path="../ft_engineering/tfidf.html">
+
+ <a href="../ft_engineering/tfidf.html">
+
+
+ <b>3.7.</b>
+
+ TF-IDF Calculation
+
+ </a>
+
+
+
+ </li>
+
@@ -761,7 +797,7 @@
- <li class="header">Part V - Prediction</li>
+ <li class="header">Part V - Supervised Learning</li>
@@ -780,27 +816,19 @@
</li>
- <li class="chapter " data-level="5.2" data-path="../regression/general.html">
-
- <a href="../regression/general.html">
-
-
- <b>5.2.</b>
-
- Regression
-
- </a>
-
-
- </li>
- <li class="chapter " data-level="5.3" data-path="general.html">
+
+ <li class="header">Part VI - Binary classification</li>
+
+
+
+ <li class="chapter " data-level="6.1" data-path="general.html">
<a href="general.html">
- <b>5.3.</b>
+ <b>6.1.</b>
Binary Classification
@@ -810,21 +838,14 @@
</li>
-
-
-
- <li class="header">Part VI - Binary classification tutorials</li>
-
-
-
- <li class="chapter " data-level="6.1" data-path="a9a.html">
+ <li class="chapter " data-level="6.2" data-path="a9a.html">
<a href="a9a.html">
- <b>6.1.</b>
+ <b>6.2.</b>
- a9a
+ a9a tutorial
</a>
@@ -833,12 +854,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.1.1" data-path="a9a_dataset.html">
+ <li class="chapter " data-level="6.2.1" data-path="a9a_dataset.html">
<a href="a9a_dataset.html">
- <b>6.1.1.</b>
+ <b>6.2.1.</b>
Data preparation
@@ -848,12 +869,12 @@
</li>
- <li class="chapter " data-level="6.1.2" data-path="a9a_lr.html">
+ <li class="chapter " data-level="6.2.2" data-path="a9a_lr.html">
<a href="a9a_lr.html">
- <b>6.1.2.</b>
+ <b>6.2.2.</b>
Logistic Regression
@@ -863,12 +884,12 @@
</li>
- <li class="chapter " data-level="6.1.3" data-path="a9a_minibatch.html">
+ <li class="chapter " data-level="6.2.3" data-path="a9a_minibatch.html">
<a href="a9a_minibatch.html">
- <b>6.1.3.</b>
+ <b>6.2.3.</b>
Mini-batch Gradient Descent
@@ -883,14 +904,14 @@
</li>
- <li class="chapter " data-level="6.2" data-path="news20.html">
+ <li class="chapter " data-level="6.3" data-path="news20.html">
<a href="news20.html">
- <b>6.2.</b>
+ <b>6.3.</b>
- News20
+ News20 tutorial
</a>
@@ -899,12 +920,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.2.1" data-path="news20_dataset.html">
+ <li class="chapter " data-level="6.3.1" data-path="news20_dataset.html">
<a href="news20_dataset.html">
- <b>6.2.1.</b>
+ <b>6.3.1.</b>
Data preparation
@@ -914,12 +935,12 @@
</li>
- <li class="chapter " data-level="6.2.2" data-path="news20_pa.html">
+ <li class="chapter " data-level="6.3.2" data-path="news20_pa.html">
<a href="news20_pa.html">
- <b>6.2.2.</b>
+ <b>6.3.2.</b>
Perceptron, Passive Aggressive
@@ -929,12 +950,12 @@
</li>
- <li class="chapter " data-level="6.2.3" data-path="news20_scw.html">
+ <li class="chapter " data-level="6.3.3" data-path="news20_scw.html">
<a href="news20_scw.html">
- <b>6.2.3.</b>
+ <b>6.3.3.</b>
CW, AROW, SCW
@@ -944,12 +965,12 @@
</li>
- <li class="chapter active" data-level="6.2.4" data-path="news20_adagrad.html">
+ <li class="chapter active" data-level="6.3.4" data-path="news20_adagrad.html">
<a href="news20_adagrad.html">
- <b>6.2.4.</b>
+ <b>6.3.4.</b>
AdaGradRDA, AdaGrad, AdaDelta
@@ -964,14 +985,14 @@
</li>
- <li class="chapter " data-level="6.3" data-path="kdd2010a.html">
+ <li class="chapter " data-level="6.4" data-path="kdd2010a.html">
<a href="kdd2010a.html">
- <b>6.3.</b>
+ <b>6.4.</b>
- KDD2010a
+ KDD2010a tutorial
</a>
@@ -980,12 +1001,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.3.1" data-path="kdd2010a_dataset.html">
+ <li class="chapter " data-level="6.4.1" data-path="kdd2010a_dataset.html">
<a href="kdd2010a_dataset.html">
- <b>6.3.1.</b>
+ <b>6.4.1.</b>
Data preparation
@@ -995,12 +1016,12 @@
</li>
- <li class="chapter " data-level="6.3.2" data-path="kdd2010a_scw.html">
+ <li class="chapter " data-level="6.4.2" data-path="kdd2010a_scw.html">
<a href="kdd2010a_scw.html">
- <b>6.3.2.</b>
+ <b>6.4.2.</b>
PA, CW, AROW, SCW
@@ -1015,14 +1036,14 @@
</li>
- <li class="chapter " data-level="6.4" data-path="kdd2010b.html">
+ <li class="chapter " data-level="6.5" data-path="kdd2010b.html">
<a href="kdd2010b.html">
- <b>6.4.</b>
+ <b>6.5.</b>
- KDD2010b
+ KDD2010b tutorial
</a>
@@ -1031,12 +1052,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.4.1" data-path="kdd2010b_dataset.html">
+ <li class="chapter " data-level="6.5.1" data-path="kdd2010b_dataset.html">
<a href="kdd2010b_dataset.html">
- <b>6.4.1.</b>
+ <b>6.5.1.</b>
Data preparation
@@ -1046,12 +1067,12 @@
</li>
- <li class="chapter " data-level="6.4.2" data-path="kdd2010b_arow.html">
+ <li class="chapter " data-level="6.5.2" data-path="kdd2010b_arow.html">
<a href="kdd2010b_arow.html">
- <b>6.4.2.</b>
+ <b>6.5.2.</b>
AROW
@@ -1066,14 +1087,14 @@
</li>
- <li class="chapter " data-level="6.5" data-path="webspam.html">
+ <li class="chapter " data-level="6.6" data-path="webspam.html">
<a href="webspam.html">
- <b>6.5.</b>
+ <b>6.6.</b>
- Webspam
+ Webspam tutorial
</a>
@@ -1082,12 +1103,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.5.1" data-path="webspam_dataset.html">
+ <li class="chapter " data-level="6.6.1" data-path="webspam_dataset.html">
<a href="webspam_dataset.html">
- <b>6.5.1.</b>
+ <b>6.6.1.</b>
Data pareparation
@@ -1097,12 +1118,12 @@
</li>
- <li class="chapter " data-level="6.5.2" data-path="webspam_scw.html">
+ <li class="chapter " data-level="6.6.2" data-path="webspam_scw.html">
<a href="webspam_scw.html">
- <b>6.5.2.</b>
+ <b>6.6.2.</b>
PA1, AROW, SCW
@@ -1117,14 +1138,14 @@
</li>
- <li class="chapter " data-level="6.6" data-path="titanic_rf.html">
+ <li class="chapter " data-level="6.7" data-path="titanic_rf.html">
<a href="titanic_rf.html">
- <b>6.6.</b>
+ <b>6.7.</b>
- Kaggle Titanic
+ Kaggle Titanic tutorial
</a>
@@ -1135,7 +1156,7 @@
- <li class="header">Part VII - Multiclass classification tutorials</li>
+ <li class="header">Part VII - Multiclass classification</li>
@@ -1146,7 +1167,7 @@
<b>7.1.</b>
- News20 Multiclass
+ News20 Multiclass tutorial
</a>
@@ -1257,7 +1278,7 @@
<b>7.2.</b>
- Iris
+ Iris tutorial
</a>
@@ -1319,18 +1340,33 @@
- <li class="header">Part VIII - Regression tutorials</li>
+ <li class="header">Part VIII - Regression</li>
- <li class="chapter " data-level="8.1" data-path="../regression/e2006.html">
+ <li class="chapter " data-level="8.1" data-path="../regression/general.html">
- <a href="../regression/e2006.html">
+ <a href="../regression/general.html">
<b>8.1.</b>
- E2006-tfidf regression
+ Regression
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="8.2" data-path="../regression/e2006.html">
+
+ <a href="../regression/e2006.html">
+
+
+ <b>8.2.</b>
+
+ E2006-tfidf regression tutorial
</a>
@@ -1339,12 +1375,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.1.1" data-path="../regression/e2006_dataset.html">
+ <li class="chapter " data-level="8.2.1" data-path="../regression/e2006_dataset.html">
<a href="../regression/e2006_dataset.html">
- <b>8.1.1.</b>
+ <b>8.2.1.</b>
Data preparation
@@ -1354,12 +1390,12 @@
</li>
- <li class="chapter " data-level="8.1.2" data-path="../regression/e2006_arow.html">
+ <li class="chapter " data-level="8.2.2" data-path="../regression/e2006_arow.html">
<a href="../regression/e2006_arow.html">
- <b>8.1.2.</b>
+ <b>8.2.2.</b>
Passive Aggressive, AROW
@@ -1374,14 +1410,14 @@
</li>
- <li class="chapter " data-level="8.2" data-path="../regression/kddcup12tr2.html">
+ <li class="chapter " data-level="8.3" data-path="../regression/kddcup12tr2.html">
<a href="../regression/kddcup12tr2.html">
- <b>8.2.</b>
+ <b>8.3.</b>
- KDDCup 2012 track 2 CTR prediction
+ KDDCup 2012 track 2 CTR prediction tutorial
</a>
@@ -1390,12 +1426,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.2.1" data-path="../regression/kddcup12tr2_dataset.html">
+ <li class="chapter " data-level="8.3.1" data-path="../regression/kddcup12tr2_dataset.html">
<a href="../regression/kddcup12tr2_dataset.html">
- <b>8.2.1.</b>
+ <b>8.3.1.</b>
Data preparation
@@ -1405,12 +1441,12 @@
</li>
- <li class="chapter " data-level="8.2.2" data-path="../regression/kddcup12tr2_lr.html">
+ <li class="chapter " data-level="8.3.2" data-path="../regression/kddcup12tr2_lr.html">
<a href="../regression/kddcup12tr2_lr.html">
- <b>8.2.2.</b>
+ <b>8.3.2.</b>
Logistic Regression, Passive Aggressive
@@ -1420,12 +1456,12 @@
</li>
- <li class="chapter " data-level="8.2.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
+ <li class="chapter " data-level="8.3.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
<a href="../regression/kddcup12tr2_lr_amplify.html">
- <b>8.2.3.</b>
+ <b>8.3.3.</b>
Logistic Regression with Amplifier
@@ -1435,12 +1471,12 @@
</li>
- <li class="chapter " data-level="8.2.4" data-path="../regression/kddcup12tr2_adagrad.html">
+ <li class="chapter " data-level="8.3.4" data-path="../regression/kddcup12tr2_adagrad.html">
<a href="../regression/kddcup12tr2_adagrad.html">
- <b>8.2.4.</b>
+ <b>8.3.4.</b>
AdaGrad, AdaDelta
@@ -2269,7 +2305,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
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http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/ba518dab/userguide/binaryclass/news20_dataset.html
----------------------------------------------------------------------
diff --git a/userguide/binaryclass/news20_dataset.html b/userguide/binaryclass/news20_dataset.html
index 1cd449e..dc4c57d 100644
--- a/userguide/binaryclass/news20_dataset.html
+++ b/userguide/binaryclass/news20_dataset.html
@@ -598,14 +598,30 @@
</li>
- <li class="chapter " data-level="3.5" data-path="../ft_engineering/tfidf.html">
+ <li class="chapter " data-level="3.5" data-path="../ft_engineering/pairing.html">
- <a href="../ft_engineering/tfidf.html">
+ <a href="../ft_engineering/pairing.html">
<b>3.5.</b>
- TF-IDF Calculation
+ FEATURE PAIRING
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="3.5.1" data-path="../ft_engineering/polynomial.html">
+
+ <a href="../ft_engineering/polynomial.html">
+
+
+ <b>3.5.1.</b>
+
+ Polynomial Features
</a>
@@ -613,6 +629,11 @@
</li>
+
+ </ul>
+
+ </li>
+
<li class="chapter " data-level="3.6" data-path="../ft_engineering/ft_trans.html">
<a href="../ft_engineering/ft_trans.html">
@@ -664,6 +685,21 @@
</li>
+ <li class="chapter " data-level="3.7" data-path="../ft_engineering/tfidf.html">
+
+ <a href="../ft_engineering/tfidf.html">
+
+
+ <b>3.7.</b>
+
+ TF-IDF Calculation
+
+ </a>
+
+
+
+ </li>
+
@@ -761,7 +797,7 @@
- <li class="header">Part V - Prediction</li>
+ <li class="header">Part V - Supervised Learning</li>
@@ -780,27 +816,19 @@
</li>
- <li class="chapter " data-level="5.2" data-path="../regression/general.html">
-
- <a href="../regression/general.html">
-
-
- <b>5.2.</b>
-
- Regression
-
- </a>
-
-
- </li>
- <li class="chapter " data-level="5.3" data-path="general.html">
+
+ <li class="header">Part VI - Binary classification</li>
+
+
+
+ <li class="chapter " data-level="6.1" data-path="general.html">
<a href="general.html">
- <b>5.3.</b>
+ <b>6.1.</b>
Binary Classification
@@ -810,21 +838,14 @@
</li>
-
-
-
- <li class="header">Part VI - Binary classification tutorials</li>
-
-
-
- <li class="chapter " data-level="6.1" data-path="a9a.html">
+ <li class="chapter " data-level="6.2" data-path="a9a.html">
<a href="a9a.html">
- <b>6.1.</b>
+ <b>6.2.</b>
- a9a
+ a9a tutorial
</a>
@@ -833,12 +854,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.1.1" data-path="a9a_dataset.html">
+ <li class="chapter " data-level="6.2.1" data-path="a9a_dataset.html">
<a href="a9a_dataset.html">
- <b>6.1.1.</b>
+ <b>6.2.1.</b>
Data preparation
@@ -848,12 +869,12 @@
</li>
- <li class="chapter " data-level="6.1.2" data-path="a9a_lr.html">
+ <li class="chapter " data-level="6.2.2" data-path="a9a_lr.html">
<a href="a9a_lr.html">
- <b>6.1.2.</b>
+ <b>6.2.2.</b>
Logistic Regression
@@ -863,12 +884,12 @@
</li>
- <li class="chapter " data-level="6.1.3" data-path="a9a_minibatch.html">
+ <li class="chapter " data-level="6.2.3" data-path="a9a_minibatch.html">
<a href="a9a_minibatch.html">
- <b>6.1.3.</b>
+ <b>6.2.3.</b>
Mini-batch Gradient Descent
@@ -883,14 +904,14 @@
</li>
- <li class="chapter " data-level="6.2" data-path="news20.html">
+ <li class="chapter " data-level="6.3" data-path="news20.html">
<a href="news20.html">
- <b>6.2.</b>
+ <b>6.3.</b>
- News20
+ News20 tutorial
</a>
@@ -899,12 +920,12 @@
<ul class="articles">
- <li class="chapter active" data-level="6.2.1" data-path="news20_dataset.html">
+ <li class="chapter active" data-level="6.3.1" data-path="news20_dataset.html">
<a href="news20_dataset.html">
- <b>6.2.1.</b>
+ <b>6.3.1.</b>
Data preparation
@@ -914,12 +935,12 @@
</li>
- <li class="chapter " data-level="6.2.2" data-path="news20_pa.html">
+ <li class="chapter " data-level="6.3.2" data-path="news20_pa.html">
<a href="news20_pa.html">
- <b>6.2.2.</b>
+ <b>6.3.2.</b>
Perceptron, Passive Aggressive
@@ -929,12 +950,12 @@
</li>
- <li class="chapter " data-level="6.2.3" data-path="news20_scw.html">
+ <li class="chapter " data-level="6.3.3" data-path="news20_scw.html">
<a href="news20_scw.html">
- <b>6.2.3.</b>
+ <b>6.3.3.</b>
CW, AROW, SCW
@@ -944,12 +965,12 @@
</li>
- <li class="chapter " data-level="6.2.4" data-path="news20_adagrad.html">
+ <li class="chapter " data-level="6.3.4" data-path="news20_adagrad.html">
<a href="news20_adagrad.html">
- <b>6.2.4.</b>
+ <b>6.3.4.</b>
AdaGradRDA, AdaGrad, AdaDelta
@@ -964,14 +985,14 @@
</li>
- <li class="chapter " data-level="6.3" data-path="kdd2010a.html">
+ <li class="chapter " data-level="6.4" data-path="kdd2010a.html">
<a href="kdd2010a.html">
- <b>6.3.</b>
+ <b>6.4.</b>
- KDD2010a
+ KDD2010a tutorial
</a>
@@ -980,12 +1001,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.3.1" data-path="kdd2010a_dataset.html">
+ <li class="chapter " data-level="6.4.1" data-path="kdd2010a_dataset.html">
<a href="kdd2010a_dataset.html">
- <b>6.3.1.</b>
+ <b>6.4.1.</b>
Data preparation
@@ -995,12 +1016,12 @@
</li>
- <li class="chapter " data-level="6.3.2" data-path="kdd2010a_scw.html">
+ <li class="chapter " data-level="6.4.2" data-path="kdd2010a_scw.html">
<a href="kdd2010a_scw.html">
- <b>6.3.2.</b>
+ <b>6.4.2.</b>
PA, CW, AROW, SCW
@@ -1015,14 +1036,14 @@
</li>
- <li class="chapter " data-level="6.4" data-path="kdd2010b.html">
+ <li class="chapter " data-level="6.5" data-path="kdd2010b.html">
<a href="kdd2010b.html">
- <b>6.4.</b>
+ <b>6.5.</b>
- KDD2010b
+ KDD2010b tutorial
</a>
@@ -1031,12 +1052,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.4.1" data-path="kdd2010b_dataset.html">
+ <li class="chapter " data-level="6.5.1" data-path="kdd2010b_dataset.html">
<a href="kdd2010b_dataset.html">
- <b>6.4.1.</b>
+ <b>6.5.1.</b>
Data preparation
@@ -1046,12 +1067,12 @@
</li>
- <li class="chapter " data-level="6.4.2" data-path="kdd2010b_arow.html">
+ <li class="chapter " data-level="6.5.2" data-path="kdd2010b_arow.html">
<a href="kdd2010b_arow.html">
- <b>6.4.2.</b>
+ <b>6.5.2.</b>
AROW
@@ -1066,14 +1087,14 @@
</li>
- <li class="chapter " data-level="6.5" data-path="webspam.html">
+ <li class="chapter " data-level="6.6" data-path="webspam.html">
<a href="webspam.html">
- <b>6.5.</b>
+ <b>6.6.</b>
- Webspam
+ Webspam tutorial
</a>
@@ -1082,12 +1103,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.5.1" data-path="webspam_dataset.html">
+ <li class="chapter " data-level="6.6.1" data-path="webspam_dataset.html">
<a href="webspam_dataset.html">
- <b>6.5.1.</b>
+ <b>6.6.1.</b>
Data pareparation
@@ -1097,12 +1118,12 @@
</li>
- <li class="chapter " data-level="6.5.2" data-path="webspam_scw.html">
+ <li class="chapter " data-level="6.6.2" data-path="webspam_scw.html">
<a href="webspam_scw.html">
- <b>6.5.2.</b>
+ <b>6.6.2.</b>
PA1, AROW, SCW
@@ -1117,14 +1138,14 @@
</li>
- <li class="chapter " data-level="6.6" data-path="titanic_rf.html">
+ <li class="chapter " data-level="6.7" data-path="titanic_rf.html">
<a href="titanic_rf.html">
- <b>6.6.</b>
+ <b>6.7.</b>
- Kaggle Titanic
+ Kaggle Titanic tutorial
</a>
@@ -1135,7 +1156,7 @@
- <li class="header">Part VII - Multiclass classification tutorials</li>
+ <li class="header">Part VII - Multiclass classification</li>
@@ -1146,7 +1167,7 @@
<b>7.1.</b>
- News20 Multiclass
+ News20 Multiclass tutorial
</a>
@@ -1257,7 +1278,7 @@
<b>7.2.</b>
- Iris
+ Iris tutorial
</a>
@@ -1319,18 +1340,33 @@
- <li class="header">Part VIII - Regression tutorials</li>
+ <li class="header">Part VIII - Regression</li>
- <li class="chapter " data-level="8.1" data-path="../regression/e2006.html">
+ <li class="chapter " data-level="8.1" data-path="../regression/general.html">
- <a href="../regression/e2006.html">
+ <a href="../regression/general.html">
<b>8.1.</b>
- E2006-tfidf regression
+ Regression
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="8.2" data-path="../regression/e2006.html">
+
+ <a href="../regression/e2006.html">
+
+
+ <b>8.2.</b>
+
+ E2006-tfidf regression tutorial
</a>
@@ -1339,12 +1375,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.1.1" data-path="../regression/e2006_dataset.html">
+ <li class="chapter " data-level="8.2.1" data-path="../regression/e2006_dataset.html">
<a href="../regression/e2006_dataset.html">
- <b>8.1.1.</b>
+ <b>8.2.1.</b>
Data preparation
@@ -1354,12 +1390,12 @@
</li>
- <li class="chapter " data-level="8.1.2" data-path="../regression/e2006_arow.html">
+ <li class="chapter " data-level="8.2.2" data-path="../regression/e2006_arow.html">
<a href="../regression/e2006_arow.html">
- <b>8.1.2.</b>
+ <b>8.2.2.</b>
Passive Aggressive, AROW
@@ -1374,14 +1410,14 @@
</li>
- <li class="chapter " data-level="8.2" data-path="../regression/kddcup12tr2.html">
+ <li class="chapter " data-level="8.3" data-path="../regression/kddcup12tr2.html">
<a href="../regression/kddcup12tr2.html">
- <b>8.2.</b>
+ <b>8.3.</b>
- KDDCup 2012 track 2 CTR prediction
+ KDDCup 2012 track 2 CTR prediction tutorial
</a>
@@ -1390,12 +1426,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.2.1" data-path="../regression/kddcup12tr2_dataset.html">
+ <li class="chapter " data-level="8.3.1" data-path="../regression/kddcup12tr2_dataset.html">
<a href="../regression/kddcup12tr2_dataset.html">
- <b>8.2.1.</b>
+ <b>8.3.1.</b>
Data preparation
@@ -1405,12 +1441,12 @@
</li>
- <li class="chapter " data-level="8.2.2" data-path="../regression/kddcup12tr2_lr.html">
+ <li class="chapter " data-level="8.3.2" data-path="../regression/kddcup12tr2_lr.html">
<a href="../regression/kddcup12tr2_lr.html">
- <b>8.2.2.</b>
+ <b>8.3.2.</b>
Logistic Regression, Passive Aggressive
@@ -1420,12 +1456,12 @@
</li>
- <li class="chapter " data-level="8.2.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
+ <li class="chapter " data-level="8.3.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
<a href="../regression/kddcup12tr2_lr_amplify.html">
- <b>8.2.3.</b>
+ <b>8.3.3.</b>
Logistic Regression with Amplifier
@@ -1435,12 +1471,12 @@
</li>
- <li class="chapter " data-level="8.2.4" data-path="../regression/kddcup12tr2_adagrad.html">
+ <li class="chapter " data-level="8.3.4" data-path="../regression/kddcup12tr2_adagrad.html">
<a href="../regression/kddcup12tr2_adagrad.html">
- <b>8.2.4.</b>
+ <b>8.3.4.</b>
AdaGrad, AdaDelta
@@ -2206,7 +2242,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
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----------------------------------------------------------------------
diff --git a/userguide/binaryclass/news20_pa.html b/userguide/binaryclass/news20_pa.html
index 1647950..0d896b7 100644
--- a/userguide/binaryclass/news20_pa.html
+++ b/userguide/binaryclass/news20_pa.html
@@ -598,14 +598,30 @@
</li>
- <li class="chapter " data-level="3.5" data-path="../ft_engineering/tfidf.html">
+ <li class="chapter " data-level="3.5" data-path="../ft_engineering/pairing.html">
- <a href="../ft_engineering/tfidf.html">
+ <a href="../ft_engineering/pairing.html">
<b>3.5.</b>
- TF-IDF Calculation
+ FEATURE PAIRING
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="3.5.1" data-path="../ft_engineering/polynomial.html">
+
+ <a href="../ft_engineering/polynomial.html">
+
+
+ <b>3.5.1.</b>
+
+ Polynomial Features
</a>
@@ -613,6 +629,11 @@
</li>
+
+ </ul>
+
+ </li>
+
<li class="chapter " data-level="3.6" data-path="../ft_engineering/ft_trans.html">
<a href="../ft_engineering/ft_trans.html">
@@ -664,6 +685,21 @@
</li>
+ <li class="chapter " data-level="3.7" data-path="../ft_engineering/tfidf.html">
+
+ <a href="../ft_engineering/tfidf.html">
+
+
+ <b>3.7.</b>
+
+ TF-IDF Calculation
+
+ </a>
+
+
+
+ </li>
+
@@ -761,7 +797,7 @@
- <li class="header">Part V - Prediction</li>
+ <li class="header">Part V - Supervised Learning</li>
@@ -780,27 +816,19 @@
</li>
- <li class="chapter " data-level="5.2" data-path="../regression/general.html">
-
- <a href="../regression/general.html">
-
-
- <b>5.2.</b>
-
- Regression
-
- </a>
-
-
- </li>
- <li class="chapter " data-level="5.3" data-path="general.html">
+
+ <li class="header">Part VI - Binary classification</li>
+
+
+
+ <li class="chapter " data-level="6.1" data-path="general.html">
<a href="general.html">
- <b>5.3.</b>
+ <b>6.1.</b>
Binary Classification
@@ -810,21 +838,14 @@
</li>
-
-
-
- <li class="header">Part VI - Binary classification tutorials</li>
-
-
-
- <li class="chapter " data-level="6.1" data-path="a9a.html">
+ <li class="chapter " data-level="6.2" data-path="a9a.html">
<a href="a9a.html">
- <b>6.1.</b>
+ <b>6.2.</b>
- a9a
+ a9a tutorial
</a>
@@ -833,12 +854,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.1.1" data-path="a9a_dataset.html">
+ <li class="chapter " data-level="6.2.1" data-path="a9a_dataset.html">
<a href="a9a_dataset.html">
- <b>6.1.1.</b>
+ <b>6.2.1.</b>
Data preparation
@@ -848,12 +869,12 @@
</li>
- <li class="chapter " data-level="6.1.2" data-path="a9a_lr.html">
+ <li class="chapter " data-level="6.2.2" data-path="a9a_lr.html">
<a href="a9a_lr.html">
- <b>6.1.2.</b>
+ <b>6.2.2.</b>
Logistic Regression
@@ -863,12 +884,12 @@
</li>
- <li class="chapter " data-level="6.1.3" data-path="a9a_minibatch.html">
+ <li class="chapter " data-level="6.2.3" data-path="a9a_minibatch.html">
<a href="a9a_minibatch.html">
- <b>6.1.3.</b>
+ <b>6.2.3.</b>
Mini-batch Gradient Descent
@@ -883,14 +904,14 @@
</li>
- <li class="chapter " data-level="6.2" data-path="news20.html">
+ <li class="chapter " data-level="6.3" data-path="news20.html">
<a href="news20.html">
- <b>6.2.</b>
+ <b>6.3.</b>
- News20
+ News20 tutorial
</a>
@@ -899,12 +920,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.2.1" data-path="news20_dataset.html">
+ <li class="chapter " data-level="6.3.1" data-path="news20_dataset.html">
<a href="news20_dataset.html">
- <b>6.2.1.</b>
+ <b>6.3.1.</b>
Data preparation
@@ -914,12 +935,12 @@
</li>
- <li class="chapter active" data-level="6.2.2" data-path="news20_pa.html">
+ <li class="chapter active" data-level="6.3.2" data-path="news20_pa.html">
<a href="news20_pa.html">
- <b>6.2.2.</b>
+ <b>6.3.2.</b>
Perceptron, Passive Aggressive
@@ -929,12 +950,12 @@
</li>
- <li class="chapter " data-level="6.2.3" data-path="news20_scw.html">
+ <li class="chapter " data-level="6.3.3" data-path="news20_scw.html">
<a href="news20_scw.html">
- <b>6.2.3.</b>
+ <b>6.3.3.</b>
CW, AROW, SCW
@@ -944,12 +965,12 @@
</li>
- <li class="chapter " data-level="6.2.4" data-path="news20_adagrad.html">
+ <li class="chapter " data-level="6.3.4" data-path="news20_adagrad.html">
<a href="news20_adagrad.html">
- <b>6.2.4.</b>
+ <b>6.3.4.</b>
AdaGradRDA, AdaGrad, AdaDelta
@@ -964,14 +985,14 @@
</li>
- <li class="chapter " data-level="6.3" data-path="kdd2010a.html">
+ <li class="chapter " data-level="6.4" data-path="kdd2010a.html">
<a href="kdd2010a.html">
- <b>6.3.</b>
+ <b>6.4.</b>
- KDD2010a
+ KDD2010a tutorial
</a>
@@ -980,12 +1001,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.3.1" data-path="kdd2010a_dataset.html">
+ <li class="chapter " data-level="6.4.1" data-path="kdd2010a_dataset.html">
<a href="kdd2010a_dataset.html">
- <b>6.3.1.</b>
+ <b>6.4.1.</b>
Data preparation
@@ -995,12 +1016,12 @@
</li>
- <li class="chapter " data-level="6.3.2" data-path="kdd2010a_scw.html">
+ <li class="chapter " data-level="6.4.2" data-path="kdd2010a_scw.html">
<a href="kdd2010a_scw.html">
- <b>6.3.2.</b>
+ <b>6.4.2.</b>
PA, CW, AROW, SCW
@@ -1015,14 +1036,14 @@
</li>
- <li class="chapter " data-level="6.4" data-path="kdd2010b.html">
+ <li class="chapter " data-level="6.5" data-path="kdd2010b.html">
<a href="kdd2010b.html">
- <b>6.4.</b>
+ <b>6.5.</b>
- KDD2010b
+ KDD2010b tutorial
</a>
@@ -1031,12 +1052,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.4.1" data-path="kdd2010b_dataset.html">
+ <li class="chapter " data-level="6.5.1" data-path="kdd2010b_dataset.html">
<a href="kdd2010b_dataset.html">
- <b>6.4.1.</b>
+ <b>6.5.1.</b>
Data preparation
@@ -1046,12 +1067,12 @@
</li>
- <li class="chapter " data-level="6.4.2" data-path="kdd2010b_arow.html">
+ <li class="chapter " data-level="6.5.2" data-path="kdd2010b_arow.html">
<a href="kdd2010b_arow.html">
- <b>6.4.2.</b>
+ <b>6.5.2.</b>
AROW
@@ -1066,14 +1087,14 @@
</li>
- <li class="chapter " data-level="6.5" data-path="webspam.html">
+ <li class="chapter " data-level="6.6" data-path="webspam.html">
<a href="webspam.html">
- <b>6.5.</b>
+ <b>6.6.</b>
- Webspam
+ Webspam tutorial
</a>
@@ -1082,12 +1103,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.5.1" data-path="webspam_dataset.html">
+ <li class="chapter " data-level="6.6.1" data-path="webspam_dataset.html">
<a href="webspam_dataset.html">
- <b>6.5.1.</b>
+ <b>6.6.1.</b>
Data pareparation
@@ -1097,12 +1118,12 @@
</li>
- <li class="chapter " data-level="6.5.2" data-path="webspam_scw.html">
+ <li class="chapter " data-level="6.6.2" data-path="webspam_scw.html">
<a href="webspam_scw.html">
- <b>6.5.2.</b>
+ <b>6.6.2.</b>
PA1, AROW, SCW
@@ -1117,14 +1138,14 @@
</li>
- <li class="chapter " data-level="6.6" data-path="titanic_rf.html">
+ <li class="chapter " data-level="6.7" data-path="titanic_rf.html">
<a href="titanic_rf.html">
- <b>6.6.</b>
+ <b>6.7.</b>
- Kaggle Titanic
+ Kaggle Titanic tutorial
</a>
@@ -1135,7 +1156,7 @@
- <li class="header">Part VII - Multiclass classification tutorials</li>
+ <li class="header">Part VII - Multiclass classification</li>
@@ -1146,7 +1167,7 @@
<b>7.1.</b>
- News20 Multiclass
+ News20 Multiclass tutorial
</a>
@@ -1257,7 +1278,7 @@
<b>7.2.</b>
- Iris
+ Iris tutorial
</a>
@@ -1319,18 +1340,33 @@
- <li class="header">Part VIII - Regression tutorials</li>
+ <li class="header">Part VIII - Regression</li>
- <li class="chapter " data-level="8.1" data-path="../regression/e2006.html">
+ <li class="chapter " data-level="8.1" data-path="../regression/general.html">
- <a href="../regression/e2006.html">
+ <a href="../regression/general.html">
<b>8.1.</b>
- E2006-tfidf regression
+ Regression
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="8.2" data-path="../regression/e2006.html">
+
+ <a href="../regression/e2006.html">
+
+
+ <b>8.2.</b>
+
+ E2006-tfidf regression tutorial
</a>
@@ -1339,12 +1375,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.1.1" data-path="../regression/e2006_dataset.html">
+ <li class="chapter " data-level="8.2.1" data-path="../regression/e2006_dataset.html">
<a href="../regression/e2006_dataset.html">
- <b>8.1.1.</b>
+ <b>8.2.1.</b>
Data preparation
@@ -1354,12 +1390,12 @@
</li>
- <li class="chapter " data-level="8.1.2" data-path="../regression/e2006_arow.html">
+ <li class="chapter " data-level="8.2.2" data-path="../regression/e2006_arow.html">
<a href="../regression/e2006_arow.html">
- <b>8.1.2.</b>
+ <b>8.2.2.</b>
Passive Aggressive, AROW
@@ -1374,14 +1410,14 @@
</li>
- <li class="chapter " data-level="8.2" data-path="../regression/kddcup12tr2.html">
+ <li class="chapter " data-level="8.3" data-path="../regression/kddcup12tr2.html">
<a href="../regression/kddcup12tr2.html">
- <b>8.2.</b>
+ <b>8.3.</b>
- KDDCup 2012 track 2 CTR prediction
+ KDDCup 2012 track 2 CTR prediction tutorial
</a>
@@ -1390,12 +1426,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.2.1" data-path="../regression/kddcup12tr2_dataset.html">
+ <li class="chapter " data-level="8.3.1" data-path="../regression/kddcup12tr2_dataset.html">
<a href="../regression/kddcup12tr2_dataset.html">
- <b>8.2.1.</b>
+ <b>8.3.1.</b>
Data preparation
@@ -1405,12 +1441,12 @@
</li>
- <li class="chapter " data-level="8.2.2" data-path="../regression/kddcup12tr2_lr.html">
+ <li class="chapter " data-level="8.3.2" data-path="../regression/kddcup12tr2_lr.html">
<a href="../regression/kddcup12tr2_lr.html">
- <b>8.2.2.</b>
+ <b>8.3.2.</b>
Logistic Regression, Passive Aggressive
@@ -1420,12 +1456,12 @@
</li>
- <li class="chapter " data-level="8.2.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
+ <li class="chapter " data-level="8.3.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
<a href="../regression/kddcup12tr2_lr_amplify.html">
- <b>8.2.3.</b>
+ <b>8.3.3.</b>
Logistic Regression with Amplifier
@@ -1435,12 +1471,12 @@
</li>
- <li class="chapter " data-level="8.2.4" data-path="../regression/kddcup12tr2_adagrad.html">
+ <li class="chapter " data-level="8.3.4" data-path="../regression/kddcup12tr2_adagrad.html">
<a href="../regression/kddcup12tr2_adagrad.html">
- <b>8.2.4.</b>
+ <b>8.3.4.</b>
AdaGrad, AdaDelta
@@ -2329,7 +2365,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
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[28/41] incubator-hivemall-site git commit: Added descriptions about
Feature Pairing in the user guide
Posted by my...@apache.org.
http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/ba518dab/userguide/ft_engineering/polynomial.html
----------------------------------------------------------------------
diff --git a/userguide/ft_engineering/polynomial.html b/userguide/ft_engineering/polynomial.html
new file mode 100644
index 0000000..fcdf1d5
--- /dev/null
+++ b/userguide/ft_engineering/polynomial.html
@@ -0,0 +1,2288 @@
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+<html lang="" >
+ <head>
+ <meta charset="UTF-8">
+ <meta content="text/html; charset=utf-8" http-equiv="Content-Type">
+ <title>Polynomial Features · Hivemall User Manual</title>
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+
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+ <meta name="HandheldFriendly" content="true"/>
+ <meta name="viewport" content="width=device-width, initial-scale=1, user-scalable=no">
+ <meta name="apple-mobile-web-app-capable" content="yes">
+ <meta name="apple-mobile-web-app-status-bar-style" content="black">
+ <link rel="apple-touch-icon-precomposed" sizes="152x152" href="../gitbook/images/apple-touch-icon-precomposed-152.png">
+ <link rel="shortcut icon" href="../gitbook/images/favicon.ico" type="image/x-icon">
+
+
+ <link rel="next" href="ft_trans.html" />
+
+
+ <link rel="prev" href="pairing.html" />
+
+
+ </head>
+ <body>
+
+<div class="book">
+ <div class="book-summary">
+
+
+<div id="book-search-input" role="search">
+ <input type="text" placeholder="Type to search" />
+</div>
+
+
+ <nav role="navigation">
+
+
+
+<ul class="summary">
+
+
+
+
+ <li>
+ <a href="http://hivemall.incubator.apache.org/" target="_blank" class="custom-link"><i class="fa fa-home"></i> Home</a>
+ </li>
+
+
+
+
+ <li class="divider"></li>
+
+
+
+
+ <li class="header">TABLE OF CONTENTS</li>
+
+
+
+ <li class="chapter " data-level="1.1" data-path="../">
+
+ <a href="../">
+
+
+ <b>1.1.</b>
+
+ Introduction
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="1.2" data-path="../getting_started/">
+
+ <a href="../getting_started/">
+
+
+ <b>1.2.</b>
+
+ Getting Started
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="1.2.1" data-path="../getting_started/installation.html">
+
+ <a href="../getting_started/installation.html">
+
+
+ <b>1.2.1.</b>
+
+ Installation
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="1.2.2" data-path="../getting_started/permanent-functions.html">
+
+ <a href="../getting_started/permanent-functions.html">
+
+
+ <b>1.2.2.</b>
+
+ Install as permanent functions
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="1.2.3" data-path="../getting_started/input-format.html">
+
+ <a href="../getting_started/input-format.html">
+
+
+ <b>1.2.3.</b>
+
+ Input Format
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+ <li class="chapter " data-level="1.3" data-path="../tips/">
+
+ <a href="../tips/">
+
+
+ <b>1.3.</b>
+
+ Tips for Effective Hivemall
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="1.3.1" data-path="../tips/addbias.html">
+
+ <a href="../tips/addbias.html">
+
+
+ <b>1.3.1.</b>
+
+ Explicit addBias() for better prediction
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="1.3.2" data-path="../tips/rand_amplify.html">
+
+ <a href="../tips/rand_amplify.html">
+
+
+ <b>1.3.2.</b>
+
+ Use rand_amplify() to better prediction results
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="1.3.3" data-path="../tips/rt_prediction.html">
+
+ <a href="../tips/rt_prediction.html">
+
+
+ <b>1.3.3.</b>
+
+ Real-time Prediction on RDBMS
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="1.3.4" data-path="../tips/ensemble_learning.html">
+
+ <a href="../tips/ensemble_learning.html">
+
+
+ <b>1.3.4.</b>
+
+ Ensemble learning for stable prediction
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="1.3.5" data-path="../tips/mixserver.html">
+
+ <a href="../tips/mixserver.html">
+
+
+ <b>1.3.5.</b>
+
+ Mixing models for a better prediction convergence (MIX server)
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="1.3.6" data-path="../tips/emr.html">
+
+ <a href="../tips/emr.html">
+
+
+ <b>1.3.6.</b>
+
+ Run Hivemall on Amazon Elastic MapReduce
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+ <li class="chapter " data-level="1.4" data-path="../tips/general_tips.html">
+
+ <a href="../tips/general_tips.html">
+
+
+ <b>1.4.</b>
+
+ General Hive/Hadoop tips
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="1.4.1" data-path="../tips/rowid.html">
+
+ <a href="../tips/rowid.html">
+
+
+ <b>1.4.1.</b>
+
+ Adding rowid for each row
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="1.4.2" data-path="../tips/hadoop_tuning.html">
+
+ <a href="../tips/hadoop_tuning.html">
+
+
+ <b>1.4.2.</b>
+
+ Hadoop tuning for Hivemall
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+ <li class="chapter " data-level="1.5" data-path="../troubleshooting/">
+
+ <a href="../troubleshooting/">
+
+
+ <b>1.5.</b>
+
+ Troubleshooting
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="1.5.1" data-path="../troubleshooting/oom.html">
+
+ <a href="../troubleshooting/oom.html">
+
+
+ <b>1.5.1.</b>
+
+ OutOfMemoryError in training
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="1.5.2" data-path="../troubleshooting/mapjoin_task_error.html">
+
+ <a href="../troubleshooting/mapjoin_task_error.html">
+
+
+ <b>1.5.2.</b>
+
+ SemanticException Generate Map Join Task Error: Cannot serialize object
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="1.5.3" data-path="../troubleshooting/asterisk.html">
+
+ <a href="../troubleshooting/asterisk.html">
+
+
+ <b>1.5.3.</b>
+
+ Asterisk argument for UDTF does not work
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="1.5.4" data-path="../troubleshooting/num_mappers.html">
+
+ <a href="../troubleshooting/num_mappers.html">
+
+
+ <b>1.5.4.</b>
+
+ The number of mappers is less than input splits in Hadoop 2.x
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="1.5.5" data-path="../troubleshooting/mapjoin_classcastex.html">
+
+ <a href="../troubleshooting/mapjoin_classcastex.html">
+
+
+ <b>1.5.5.</b>
+
+ Map-side Join causes ClassCastException on Tez
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+
+
+
+ <li class="header">Part II - Generic Features</li>
+
+
+
+ <li class="chapter " data-level="2.1" data-path="../misc/generic_funcs.html">
+
+ <a href="../misc/generic_funcs.html">
+
+
+ <b>2.1.</b>
+
+ List of generic Hivemall functions
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="2.2" data-path="../misc/topk.html">
+
+ <a href="../misc/topk.html">
+
+
+ <b>2.2.</b>
+
+ Efficient Top-K query processing
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="2.3" data-path="../misc/tokenizer.html">
+
+ <a href="../misc/tokenizer.html">
+
+
+ <b>2.3.</b>
+
+ English/Japanese Text Tokenizer
+
+ </a>
+
+
+
+ </li>
+
+
+
+
+ <li class="header">Part III - Feature Engineering</li>
+
+
+
+ <li class="chapter " data-level="3.1" data-path="scaling.html">
+
+ <a href="scaling.html">
+
+
+ <b>3.1.</b>
+
+ Feature Scaling
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="3.2" data-path="hashing.html">
+
+ <a href="hashing.html">
+
+
+ <b>3.2.</b>
+
+ Feature Hashing
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="3.3" data-path="selection.html">
+
+ <a href="selection.html">
+
+
+ <b>3.3.</b>
+
+ Feature Selection
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="3.4" data-path="binning.html">
+
+ <a href="binning.html">
+
+
+ <b>3.4.</b>
+
+ Feature Binning
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="3.5" data-path="pairing.html">
+
+ <a href="pairing.html">
+
+
+ <b>3.5.</b>
+
+ FEATURE PAIRING
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter active" data-level="3.5.1" data-path="polynomial.html">
+
+ <a href="polynomial.html">
+
+
+ <b>3.5.1.</b>
+
+ Polynomial Features
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+ <li class="chapter " data-level="3.6" data-path="ft_trans.html">
+
+ <a href="ft_trans.html">
+
+
+ <b>3.6.</b>
+
+ FEATURE TRANSFORMATION
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="3.6.1" data-path="vectorization.html">
+
+ <a href="vectorization.html">
+
+
+ <b>3.6.1.</b>
+
+ Feature Vectorization
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="3.6.2" data-path="quantify.html">
+
+ <a href="quantify.html">
+
+
+ <b>3.6.2.</b>
+
+ Quantify non-number features
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+ <li class="chapter " data-level="3.7" data-path="tfidf.html">
+
+ <a href="tfidf.html">
+
+
+ <b>3.7.</b>
+
+ TF-IDF Calculation
+
+ </a>
+
+
+
+ </li>
+
+
+
+
+ <li class="header">Part IV - Evaluation</li>
+
+
+
+ <li class="chapter " data-level="4.1" data-path="../eval/stat_eval.html">
+
+ <a href="../eval/stat_eval.html">
+
+
+ <b>4.1.</b>
+
+ Statistical evaluation of a prediction model
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="4.1.1" data-path="../eval/auc.html">
+
+ <a href="../eval/auc.html">
+
+
+ <b>4.1.1.</b>
+
+ Area Under the ROC Curve
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+ <li class="chapter " data-level="4.2" data-path="../eval/rank.html">
+
+ <a href="../eval/rank.html">
+
+
+ <b>4.2.</b>
+
+ Ranking Measures
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="4.3" data-path="../eval/datagen.html">
+
+ <a href="../eval/datagen.html">
+
+
+ <b>4.3.</b>
+
+ Data Generation
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="4.3.1" data-path="../eval/lr_datagen.html">
+
+ <a href="../eval/lr_datagen.html">
+
+
+ <b>4.3.1.</b>
+
+ Logistic Regression data generation
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+
+
+
+ <li class="header">Part V - Supervised Learning</li>
+
+
+
+ <li class="chapter " data-level="5.1" data-path="../misc/prediction.html">
+
+ <a href="../misc/prediction.html">
+
+
+ <b>5.1.</b>
+
+ How Prediction Works
+
+ </a>
+
+
+
+ </li>
+
+
+
+
+ <li class="header">Part VI - Binary classification</li>
+
+
+
+ <li class="chapter " data-level="6.1" data-path="../binaryclass/general.html">
+
+ <a href="../binaryclass/general.html">
+
+
+ <b>6.1.</b>
+
+ Binary Classification
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="6.2" data-path="../binaryclass/a9a.html">
+
+ <a href="../binaryclass/a9a.html">
+
+
+ <b>6.2.</b>
+
+ a9a tutorial
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="6.2.1" data-path="../binaryclass/a9a_dataset.html">
+
+ <a href="../binaryclass/a9a_dataset.html">
+
+
+ <b>6.2.1.</b>
+
+ Data preparation
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="6.2.2" data-path="../binaryclass/a9a_lr.html">
+
+ <a href="../binaryclass/a9a_lr.html">
+
+
+ <b>6.2.2.</b>
+
+ Logistic Regression
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="6.2.3" data-path="../binaryclass/a9a_minibatch.html">
+
+ <a href="../binaryclass/a9a_minibatch.html">
+
+
+ <b>6.2.3.</b>
+
+ Mini-batch Gradient Descent
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+ <li class="chapter " data-level="6.3" data-path="../binaryclass/news20.html">
+
+ <a href="../binaryclass/news20.html">
+
+
+ <b>6.3.</b>
+
+ News20 tutorial
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="6.3.1" data-path="../binaryclass/news20_dataset.html">
+
+ <a href="../binaryclass/news20_dataset.html">
+
+
+ <b>6.3.1.</b>
+
+ Data preparation
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="6.3.2" data-path="../binaryclass/news20_pa.html">
+
+ <a href="../binaryclass/news20_pa.html">
+
+
+ <b>6.3.2.</b>
+
+ Perceptron, Passive Aggressive
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="6.3.3" data-path="../binaryclass/news20_scw.html">
+
+ <a href="../binaryclass/news20_scw.html">
+
+
+ <b>6.3.3.</b>
+
+ CW, AROW, SCW
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="6.3.4" data-path="../binaryclass/news20_adagrad.html">
+
+ <a href="../binaryclass/news20_adagrad.html">
+
+
+ <b>6.3.4.</b>
+
+ AdaGradRDA, AdaGrad, AdaDelta
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+ <li class="chapter " data-level="6.4" data-path="../binaryclass/kdd2010a.html">
+
+ <a href="../binaryclass/kdd2010a.html">
+
+
+ <b>6.4.</b>
+
+ KDD2010a tutorial
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="6.4.1" data-path="../binaryclass/kdd2010a_dataset.html">
+
+ <a href="../binaryclass/kdd2010a_dataset.html">
+
+
+ <b>6.4.1.</b>
+
+ Data preparation
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="6.4.2" data-path="../binaryclass/kdd2010a_scw.html">
+
+ <a href="../binaryclass/kdd2010a_scw.html">
+
+
+ <b>6.4.2.</b>
+
+ PA, CW, AROW, SCW
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+ <li class="chapter " data-level="6.5" data-path="../binaryclass/kdd2010b.html">
+
+ <a href="../binaryclass/kdd2010b.html">
+
+
+ <b>6.5.</b>
+
+ KDD2010b tutorial
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="6.5.1" data-path="../binaryclass/kdd2010b_dataset.html">
+
+ <a href="../binaryclass/kdd2010b_dataset.html">
+
+
+ <b>6.5.1.</b>
+
+ Data preparation
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="6.5.2" data-path="../binaryclass/kdd2010b_arow.html">
+
+ <a href="../binaryclass/kdd2010b_arow.html">
+
+
+ <b>6.5.2.</b>
+
+ AROW
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+ <li class="chapter " data-level="6.6" data-path="../binaryclass/webspam.html">
+
+ <a href="../binaryclass/webspam.html">
+
+
+ <b>6.6.</b>
+
+ Webspam tutorial
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="6.6.1" data-path="../binaryclass/webspam_dataset.html">
+
+ <a href="../binaryclass/webspam_dataset.html">
+
+
+ <b>6.6.1.</b>
+
+ Data pareparation
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="6.6.2" data-path="../binaryclass/webspam_scw.html">
+
+ <a href="../binaryclass/webspam_scw.html">
+
+
+ <b>6.6.2.</b>
+
+ PA1, AROW, SCW
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+ <li class="chapter " data-level="6.7" data-path="../binaryclass/titanic_rf.html">
+
+ <a href="../binaryclass/titanic_rf.html">
+
+
+ <b>6.7.</b>
+
+ Kaggle Titanic tutorial
+
+ </a>
+
+
+
+ </li>
+
+
+
+
+ <li class="header">Part VII - Multiclass classification</li>
+
+
+
+ <li class="chapter " data-level="7.1" data-path="../multiclass/news20.html">
+
+ <a href="../multiclass/news20.html">
+
+
+ <b>7.1.</b>
+
+ News20 Multiclass tutorial
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="7.1.1" data-path="../multiclass/news20_dataset.html">
+
+ <a href="../multiclass/news20_dataset.html">
+
+
+ <b>7.1.1.</b>
+
+ Data preparation
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="7.1.2" data-path="../multiclass/news20_one-vs-the-rest_dataset.html">
+
+ <a href="../multiclass/news20_one-vs-the-rest_dataset.html">
+
+
+ <b>7.1.2.</b>
+
+ Data preparation for one-vs-the-rest classifiers
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="7.1.3" data-path="../multiclass/news20_pa.html">
+
+ <a href="../multiclass/news20_pa.html">
+
+
+ <b>7.1.3.</b>
+
+ PA
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="7.1.4" data-path="../multiclass/news20_scw.html">
+
+ <a href="../multiclass/news20_scw.html">
+
+
+ <b>7.1.4.</b>
+
+ CW, AROW, SCW
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="7.1.5" data-path="../multiclass/news20_ensemble.html">
+
+ <a href="../multiclass/news20_ensemble.html">
+
+
+ <b>7.1.5.</b>
+
+ Ensemble learning
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="7.1.6" data-path="../multiclass/news20_one-vs-the-rest.html">
+
+ <a href="../multiclass/news20_one-vs-the-rest.html">
+
+
+ <b>7.1.6.</b>
+
+ one-vs-the-rest classifier
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+ <li class="chapter " data-level="7.2" data-path="../multiclass/iris.html">
+
+ <a href="../multiclass/iris.html">
+
+
+ <b>7.2.</b>
+
+ Iris tutorial
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="7.2.1" data-path="../multiclass/iris_dataset.html">
+
+ <a href="../multiclass/iris_dataset.html">
+
+
+ <b>7.2.1.</b>
+
+ Data preparation
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="7.2.2" data-path="../multiclass/iris_scw.html">
+
+ <a href="../multiclass/iris_scw.html">
+
+
+ <b>7.2.2.</b>
+
+ SCW
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="7.2.3" data-path="../multiclass/iris_randomforest.html">
+
+ <a href="../multiclass/iris_randomforest.html">
+
+
+ <b>7.2.3.</b>
+
+ RandomForest
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+
+
+
+ <li class="header">Part VIII - Regression</li>
+
+
+
+ <li class="chapter " data-level="8.1" data-path="../regression/general.html">
+
+ <a href="../regression/general.html">
+
+
+ <b>8.1.</b>
+
+ Regression
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="8.2" data-path="../regression/e2006.html">
+
+ <a href="../regression/e2006.html">
+
+
+ <b>8.2.</b>
+
+ E2006-tfidf regression tutorial
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="8.2.1" data-path="../regression/e2006_dataset.html">
+
+ <a href="../regression/e2006_dataset.html">
+
+
+ <b>8.2.1.</b>
+
+ Data preparation
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="8.2.2" data-path="../regression/e2006_arow.html">
+
+ <a href="../regression/e2006_arow.html">
+
+
+ <b>8.2.2.</b>
+
+ Passive Aggressive, AROW
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+ <li class="chapter " data-level="8.3" data-path="../regression/kddcup12tr2.html">
+
+ <a href="../regression/kddcup12tr2.html">
+
+
+ <b>8.3.</b>
+
+ KDDCup 2012 track 2 CTR prediction tutorial
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="8.3.1" data-path="../regression/kddcup12tr2_dataset.html">
+
+ <a href="../regression/kddcup12tr2_dataset.html">
+
+
+ <b>8.3.1.</b>
+
+ Data preparation
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="8.3.2" data-path="../regression/kddcup12tr2_lr.html">
+
+ <a href="../regression/kddcup12tr2_lr.html">
+
+
+ <b>8.3.2.</b>
+
+ Logistic Regression, Passive Aggressive
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="8.3.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
+
+ <a href="../regression/kddcup12tr2_lr_amplify.html">
+
+
+ <b>8.3.3.</b>
+
+ Logistic Regression with Amplifier
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="8.3.4" data-path="../regression/kddcup12tr2_adagrad.html">
+
+ <a href="../regression/kddcup12tr2_adagrad.html">
+
+
+ <b>8.3.4.</b>
+
+ AdaGrad, AdaDelta
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+
+
+
+ <li class="header">Part IX - Recommendation</li>
+
+
+
+ <li class="chapter " data-level="9.1" data-path="../recommend/cf.html">
+
+ <a href="../recommend/cf.html">
+
+
+ <b>9.1.</b>
+
+ Collaborative Filtering
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="9.1.1" data-path="../recommend/item_based_cf.html">
+
+ <a href="../recommend/item_based_cf.html">
+
+
+ <b>9.1.1.</b>
+
+ Item-based Collaborative Filtering
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+ <li class="chapter " data-level="9.2" data-path="../recommend/news20.html">
+
+ <a href="../recommend/news20.html">
+
+
+ <b>9.2.</b>
+
+ News20 related article recommendation Tutorial
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="9.2.1" data-path="../multiclass/news20_dataset.html">
+
+ <a href="../multiclass/news20_dataset.html">
+
+
+ <b>9.2.1.</b>
+
+ Data preparation
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="9.2.2" data-path="../recommend/news20_jaccard.html">
+
+ <a href="../recommend/news20_jaccard.html">
+
+
+ <b>9.2.2.</b>
+
+ LSH/Minhash and Jaccard Similarity
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="9.2.3" data-path="../recommend/news20_knn.html">
+
+ <a href="../recommend/news20_knn.html">
+
+
+ <b>9.2.3.</b>
+
+ LSH/Minhash and Brute-Force Search
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="9.2.4" data-path="../recommend/news20_bbit_minhash.html">
+
+ <a href="../recommend/news20_bbit_minhash.html">
+
+
+ <b>9.2.4.</b>
+
+ kNN search using b-Bits Minhash
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+ <li class="chapter " data-level="9.3" data-path="../recommend/movielens.html">
+
+ <a href="../recommend/movielens.html">
+
+
+ <b>9.3.</b>
+
+ MovieLens movie recommendation Tutorial
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="9.3.1" data-path="../recommend/movielens_dataset.html">
+
+ <a href="../recommend/movielens_dataset.html">
+
+
+ <b>9.3.1.</b>
+
+ Data preparation
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="9.3.2" data-path="../recommend/movielens_cf.html">
+
+ <a href="../recommend/movielens_cf.html">
+
+
+ <b>9.3.2.</b>
+
+ Item-based Collaborative Filtering
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="9.3.3" data-path="../recommend/movielens_mf.html">
+
+ <a href="../recommend/movielens_mf.html">
+
+
+ <b>9.3.3.</b>
+
+ Matrix Factorization
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="9.3.4" data-path="../recommend/movielens_fm.html">
+
+ <a href="../recommend/movielens_fm.html">
+
+
+ <b>9.3.4.</b>
+
+ Factorization Machine
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="9.3.5" data-path="../recommend/movielens_cv.html">
+
+ <a href="../recommend/movielens_cv.html">
+
+
+ <b>9.3.5.</b>
+
+ 10-fold Cross Validation (Matrix Factorization)
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+
+
+
+ <li class="header">Part X - Anomaly Detection</li>
+
+
+
+ <li class="chapter " data-level="10.1" data-path="../anomaly/lof.html">
+
+ <a href="../anomaly/lof.html">
+
+
+ <b>10.1.</b>
+
+ Outlier Detection using Local Outlier Factor (LOF)
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="10.2" data-path="../anomaly/sst.html">
+
+ <a href="../anomaly/sst.html">
+
+
+ <b>10.2.</b>
+
+ Change-Point Detection using Singular Spectrum Transformation (SST)
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="10.3" data-path="../anomaly/changefinder.html">
+
+ <a href="../anomaly/changefinder.html">
+
+
+ <b>10.3.</b>
+
+ ChangeFinder: Detecting Outlier and Change-Point Simultaneously
+
+ </a>
+
+
+
+ </li>
+
+
+
+
+ <li class="header">Part XI - Clustering</li>
+
+
+
+ <li class="chapter " data-level="11.1" data-path="../clustering/lda.html">
+
+ <a href="../clustering/lda.html">
+
+
+ <b>11.1.</b>
+
+ Latent Dirichlet Allocation
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="11.2" data-path="../clustering/plsa.html">
+
+ <a href="../clustering/plsa.html">
+
+
+ <b>11.2.</b>
+
+ Probabilistic Latent Semantic Analysis
+
+ </a>
+
+
+
+ </li>
+
+
+
+
+ <li class="header">Part XII - GeoSpatial functions</li>
+
+
+
+ <li class="chapter " data-level="12.1" data-path="../geospatial/latlon.html">
+
+ <a href="../geospatial/latlon.html">
+
+
+ <b>12.1.</b>
+
+ Lat/Lon functions
+
+ </a>
+
+
+
+ </li>
+
+
+
+
+ <li class="header">Part XIII - Hivemall on Spark</li>
+
+
+
+ <li class="chapter " data-level="13.1" data-path="../spark/getting_started/">
+
+ <a href="../spark/getting_started/">
+
+
+ <b>13.1.</b>
+
+ Getting Started
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="13.1.1" data-path="../spark/getting_started/installation.html">
+
+ <a href="../spark/getting_started/installation.html">
+
+
+ <b>13.1.1.</b>
+
+ Installation
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+ <li class="chapter " data-level="13.2" data-path="../spark/binaryclass/">
+
+ <a href="../spark/binaryclass/">
+
+
+ <b>13.2.</b>
+
+ Binary Classification
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="13.2.1" data-path="../spark/binaryclass/a9a_df.html">
+
+ <a href="../spark/binaryclass/a9a_df.html">
+
+
+ <b>13.2.1.</b>
+
+ a9a Tutorial for DataFrame
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+ <li class="chapter " data-level="13.3" data-path="../spark/binaryclass/">
+
+ <a href="../spark/binaryclass/">
+
+
+ <b>13.3.</b>
+
+ Regression
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="13.3.1" data-path="../spark/regression/e2006_df.html">
+
+ <a href="../spark/regression/e2006_df.html">
+
+
+ <b>13.3.1.</b>
+
+ E2006-tfidf regression Tutorial for DataFrame
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+ <li class="chapter " data-level="13.4" data-path="../spark/misc/misc.html">
+
+ <a href="../spark/misc/misc.html">
+
+
+ <b>13.4.</b>
+
+ Generic features
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="13.4.1" data-path="../spark/misc/topk_join.html">
+
+ <a href="../spark/misc/topk_join.html">
+
+
+ <b>13.4.1.</b>
+
+ Top-k Join processing
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="13.4.2" data-path="../spark/misc/functions.html">
+
+ <a href="../spark/misc/functions.html">
+
+
+ <b>13.4.2.</b>
+
+ Other utility functions
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+
+
+
+ <li class="header">Part XIV - Hivemall on Docker</li>
+
+
+
+ <li class="chapter " data-level="14.1" data-path="../docker/getting_started.html">
+
+ <a href="../docker/getting_started.html">
+
+
+ <b>14.1.</b>
+
+ Getting Started
+
+ </a>
+
+
+
+ </li>
+
+
+
+
+ <li class="header">Part XIV - External References</li>
+
+
+
+ <li class="chapter " data-level="15.1" >
+
+ <a target="_blank" href="https://github.com/maropu/hivemall-spark">
+
+
+ <b>15.1.</b>
+
+ Hivemall on Apache Spark
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="15.2" >
+
+ <a target="_blank" href="https://github.com/daijyc/hivemall/wiki/PigHome">
+
+
+ <b>15.2.</b>
+
+ Hivemall on Apache Pig
+
+ </a>
+
+
+
+ </li>
+
+
+
+
+ <li class="divider"></li>
+
+ <li>
+ <a href="https://www.gitbook.com" target="blank" class="gitbook-link">
+ Published with GitBook
+ </a>
+ </li>
+</ul>
+
+
+ </nav>
+
+
+ </div>
+
+ <div class="book-body">
+
+ <div class="body-inner">
+
+
+
+<div class="book-header" role="navigation">
+
+
+ <!-- Title -->
+ <h1>
+ <i class="fa fa-circle-o-notch fa-spin"></i>
+ <a href=".." >Polynomial Features</a>
+ </h1>
+</div>
+
+
+
+
+ <div class="page-wrapper" tabindex="-1" role="main">
+ <div class="page-inner">
+
+<div id="book-search-results">
+ <div class="search-noresults">
+
+ <section class="normal markdown-section">
+
+ <!--
+ Licensed to the Apache Software Foundation (ASF) under one
+ or more contributor license agreements. See the NOTICE file
+ distributed with this work for additional information
+ regarding copyright ownership. The ASF licenses this file
+ to you under the Apache License, Version 2.0 (the
+ "License"); you may not use this file except in compliance
+ with the License. You may obtain a copy of the License at
+
+ http://www.apache.org/licenses/LICENSE-2.0
+
+ Unless required by applicable law or agreed to in writing,
+ software distributed under the License is distributed on an
+ "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ KIND, either express or implied. See the License for the
+ specific language governing permissions and limitations
+ under the License.
+-->
+<!-- toc --><div id="toc" class="toc">
+
+<ul>
+<li><a href="#polynomial-features">Polynomial Features</a></li>
+<li><a href="#powered-features">Powered Features</a></li>
+</ul>
+
+</div><!-- tocstop -->
+<p><a href="http://en.wikipedia.org/wiki/Polynomial_kernel" target="_blank">Polynomial features</a> allows you to do <a href="https://class.coursera.org/ml-005/lecture/23" target="_blank">non-linear regression</a>/classification with a linear model.</p>
+<div class="panel panel-warning"><div class="panel-heading"><h3 class="panel-title" id="caution"><i class="fa fa-exclamation-triangle"></i> Caution</h3></div><div class="panel-body"><p>Polynomial Features assumes normalized inputs because <code>x**n</code> easily becomes INF/-INF where <code>n</code> is large.</p></div></div>
+<h1 id="polynomial-features">Polynomial Features</h1>
+<p>As <a href="http://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.PolynomialFeatures.html" target="_blank">a similar to one in Scikit-Learn</a>, <code>polynomial_feature(array<String> features, int degree [, boolean interactionOnly=false, boolean truncate=true])</code> is a function to generate polynomial and interaction features.</p>
+<pre><code class="lang-sql">select polynomial_features(array("a:0.5","b:0.2"), 2);
+> ["a:0.5","a^a:0.25","a^b:0.1","b:0.2","b^b:0.040000003"]
+
+select polynomial_features(array("a:0.5","b:0.2"), 3);
+> ["a:0.5","a^a:0.25","a^a^a:0.125","a^a^b:0.05","a^b:0.1","a^b^b:0.020000001","b:0.2","b^b:0.040000003","b^b^b:0.008"]
+
+-- interaction only
+select polynomial_features(array("a:0.5","b:0.2"), 3, true);
+> ["a:0.5","a^b:0.1","b:0.2"]
+
+select polynomial_features(array("a:0.5","b:0.2","c:0.3"), 3, true);
+> ["a:0.5","a^b:0.1","a^b^c:0.030000001","a^c:0.15","b:0.2","b^c:0.060000002","c:0.3"]
+
+-- interaction only + no truncate
+select polynomial_features(array("a:0.5","b:1.0", "c:0.3"), 3, true, false);
+> ["a:0.5","a^b:0.5","a^b^c:0.15","a^c:0.15","b:1.0","b^c:0.3","c:0.3"]
+
+-- interaction only + truncate
+select polynomial_features(array("a:0.5","b:1.0","c:0.3"), 3, true, true);
+> ["a:0.5","a^c:0.15","b:1.0","c:0.3"]
+
+-- truncate
+select polynomial_features(array("a:0.5","b:1.0", "c:0.3"), 3, false, true);
+> ["a:0.5","a^a:0.25","a^a^a:0.125","a^a^c:0.075","a^c:0.15","a^c^c:0.045","b:1.0","c:0.3","c^c:0.09","c^c^c:0.027000003"]
+
+-- do not truncate
+select polynomial_features(array("a:0.5","b:1.0", "c:0.3"), 3, false, false);
+> ["a:0.5","a^a:0.25","a^a^a:0.125","a^a^b:0.25","a^a^c:0.075","a^b:0.5","a^b^b:0.5","a^b^c:0.15","a^c:0.15","a^c^c:0.045","b:1.0","b^b:1.0","b^b^b:1.0","b^b^c:0.3","b^c:0.3","b^c^c:0.09","c:0.3","c^c:0.09","c^c^c:0.027000003"]
+>
+</code></pre>
+<p><em>Note: <code>truncate</code> is used to eliminate unnecessary combinations.</em></p>
+<h1 id="powered-features">Powered Features</h1>
+<p>The <code>powered_features(array<String> features, int degree [, boolean truncate=true] )</code> is a function to generate polynomial features.</p>
+<pre><code class="lang-sql">select powered_features(array("a:0.5","b:0.2"), 3);
+> ["a:0.5","a^2:0.25","a^3:0.125","b:0.2","b^2:0.040000003","b^3:0.008"]
+</code></pre>
+<p><div id="page-footer" class="localized-footer"><hr><!--
+ Licensed to the Apache Software Foundation (ASF) under one
+ or more contributor license agreements. See the NOTICE file
+ distributed with this work for additional information
+ regarding copyright ownership. The ASF licenses this file
+ to you under the Apache License, Version 2.0 (the
+ "License"); you may not use this file except in compliance
+ with the License. You may obtain a copy of the License at
+
+ http://www.apache.org/licenses/LICENSE-2.0
+
+ Unless required by applicable law or agreed to in writing,
+ software distributed under the License is distributed on an
+ "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ KIND, either express or implied. See the License for the
+ specific language governing permissions and limitations
+ under the License.
+-->
+<p><sub><font color="gray">
+Apache Hivemall is an effort undergoing incubation at The Apache Software Foundation (ASF), sponsored by the Apache Incubator.
+</font></sub></p>
+</div></p>
+
+
+ </section>
+
+ </div>
+ <div class="search-results">
+ <div class="has-results">
+
+ <h1 class="search-results-title"><span class='search-results-count'></span> results matching "<span class='search-query'></span>"</h1>
+ <ul class="search-results-list"></ul>
+
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+ <div class="no-results">
+
+ <h1 class="search-results-title">No results matching "<span class='search-query'></span>"</h1>
+
+ </div>
+ </div>
+</div>
+
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+ </div>
+
+ </div>
+
+
+
+
+ </div>
+
+ <script>
+ var gitbook = gitbook || [];
+ gitbook.push(function() {
+ gitbook.page.hasChanged({"page":{"title":"Polynomial Features","level":"3.5.1","depth":2,"next":{"title":"FEATURE TRANSFORMATION","level":"3.6","depth":1,"path":"ft_engineering/ft_trans.md","ref":"ft_engineering/ft_trans.md","articles":[{"title":"Feature Vectorization","level":"3.6.1","depth":2,"path":"ft_engineering/vectorization.md","ref":"ft_engineering/vectorization.md","articles":[]},{"title":"Quantify non-number features","level":"3.6.2","depth":2,"path":"ft_engineering/quantify.md","ref":"ft_engineering/quantify.md","articles":[]}]},"previous":{"title":"FEATURE PAIRING","level":"3.5","depth":1,"path":"ft_engineering/pairing.md","ref":"ft_engineering/pairing.md","articles":[{"title":"Polynomial Features","level":"3.5.1","depth":2,"path":"ft_engineering/polynomial.md","ref":"ft_engineering/polynomial.md","articles":[]}]},"dir":"ltr"},"config":{"plugins":["theme-api","edit-link","github","splitter","sitemap","etoc","callouts","toggle-chapters","anchorjs","codeblock-f
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+ });
+ </script>
+</div>
+
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+ <script src="../gitbook/gitbook.js"></script>
+ <script src="../gitbook/theme.js"></script>
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+ <script src="../gitbook/gitbook-plugin-toggle-chapters/toggle.js"></script>
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+ <script src="../gitbook/gitbook-plugin-search/search-engine.js"></script>
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+ <script src="../gitbook/gitbook-plugin-lunr/lunr.min.js"></script>
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+
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+ <script src="../gitbook/gitbook-plugin-theme-api/theme-api.js"></script>
+
+
+
+ </body>
+</html>
+
http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/ba518dab/userguide/ft_engineering/quantify.html
----------------------------------------------------------------------
diff --git a/userguide/ft_engineering/quantify.html b/userguide/ft_engineering/quantify.html
index 4109148..0f4087b 100644
--- a/userguide/ft_engineering/quantify.html
+++ b/userguide/ft_engineering/quantify.html
@@ -97,7 +97,7 @@
<link rel="shortcut icon" href="../gitbook/images/favicon.ico" type="image/x-icon">
- <link rel="next" href="../eval/stat_eval.html" />
+ <link rel="next" href="tfidf.html" />
<link rel="prev" href="vectorization.html" />
@@ -598,14 +598,30 @@
</li>
- <li class="chapter " data-level="3.5" data-path="tfidf.html">
+ <li class="chapter " data-level="3.5" data-path="pairing.html">
- <a href="tfidf.html">
+ <a href="pairing.html">
<b>3.5.</b>
- TF-IDF Calculation
+ FEATURE PAIRING
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="3.5.1" data-path="polynomial.html">
+
+ <a href="polynomial.html">
+
+
+ <b>3.5.1.</b>
+
+ Polynomial Features
</a>
@@ -613,6 +629,11 @@
</li>
+
+ </ul>
+
+ </li>
+
<li class="chapter " data-level="3.6" data-path="ft_trans.html">
<a href="ft_trans.html">
@@ -664,6 +685,21 @@
</li>
+ <li class="chapter " data-level="3.7" data-path="tfidf.html">
+
+ <a href="tfidf.html">
+
+
+ <b>3.7.</b>
+
+ TF-IDF Calculation
+
+ </a>
+
+
+
+ </li>
+
@@ -761,7 +797,7 @@
- <li class="header">Part V - Prediction</li>
+ <li class="header">Part V - Supervised Learning</li>
@@ -780,27 +816,19 @@
</li>
- <li class="chapter " data-level="5.2" data-path="../regression/general.html">
-
- <a href="../regression/general.html">
-
-
- <b>5.2.</b>
-
- Regression
-
- </a>
-
-
- </li>
- <li class="chapter " data-level="5.3" data-path="../binaryclass/general.html">
+
+ <li class="header">Part VI - Binary classification</li>
+
+
+
+ <li class="chapter " data-level="6.1" data-path="../binaryclass/general.html">
<a href="../binaryclass/general.html">
- <b>5.3.</b>
+ <b>6.1.</b>
Binary Classification
@@ -810,21 +838,14 @@
</li>
-
-
-
- <li class="header">Part VI - Binary classification tutorials</li>
-
-
-
- <li class="chapter " data-level="6.1" data-path="../binaryclass/a9a.html">
+ <li class="chapter " data-level="6.2" data-path="../binaryclass/a9a.html">
<a href="../binaryclass/a9a.html">
- <b>6.1.</b>
+ <b>6.2.</b>
- a9a
+ a9a tutorial
</a>
@@ -833,12 +854,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.1.1" data-path="../binaryclass/a9a_dataset.html">
+ <li class="chapter " data-level="6.2.1" data-path="../binaryclass/a9a_dataset.html">
<a href="../binaryclass/a9a_dataset.html">
- <b>6.1.1.</b>
+ <b>6.2.1.</b>
Data preparation
@@ -848,12 +869,12 @@
</li>
- <li class="chapter " data-level="6.1.2" data-path="../binaryclass/a9a_lr.html">
+ <li class="chapter " data-level="6.2.2" data-path="../binaryclass/a9a_lr.html">
<a href="../binaryclass/a9a_lr.html">
- <b>6.1.2.</b>
+ <b>6.2.2.</b>
Logistic Regression
@@ -863,12 +884,12 @@
</li>
- <li class="chapter " data-level="6.1.3" data-path="../binaryclass/a9a_minibatch.html">
+ <li class="chapter " data-level="6.2.3" data-path="../binaryclass/a9a_minibatch.html">
<a href="../binaryclass/a9a_minibatch.html">
- <b>6.1.3.</b>
+ <b>6.2.3.</b>
Mini-batch Gradient Descent
@@ -883,14 +904,14 @@
</li>
- <li class="chapter " data-level="6.2" data-path="../binaryclass/news20.html">
+ <li class="chapter " data-level="6.3" data-path="../binaryclass/news20.html">
<a href="../binaryclass/news20.html">
- <b>6.2.</b>
+ <b>6.3.</b>
- News20
+ News20 tutorial
</a>
@@ -899,12 +920,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.2.1" data-path="../binaryclass/news20_dataset.html">
+ <li class="chapter " data-level="6.3.1" data-path="../binaryclass/news20_dataset.html">
<a href="../binaryclass/news20_dataset.html">
- <b>6.2.1.</b>
+ <b>6.3.1.</b>
Data preparation
@@ -914,12 +935,12 @@
</li>
- <li class="chapter " data-level="6.2.2" data-path="../binaryclass/news20_pa.html">
+ <li class="chapter " data-level="6.3.2" data-path="../binaryclass/news20_pa.html">
<a href="../binaryclass/news20_pa.html">
- <b>6.2.2.</b>
+ <b>6.3.2.</b>
Perceptron, Passive Aggressive
@@ -929,12 +950,12 @@
</li>
- <li class="chapter " data-level="6.2.3" data-path="../binaryclass/news20_scw.html">
+ <li class="chapter " data-level="6.3.3" data-path="../binaryclass/news20_scw.html">
<a href="../binaryclass/news20_scw.html">
- <b>6.2.3.</b>
+ <b>6.3.3.</b>
CW, AROW, SCW
@@ -944,12 +965,12 @@
</li>
- <li class="chapter " data-level="6.2.4" data-path="../binaryclass/news20_adagrad.html">
+ <li class="chapter " data-level="6.3.4" data-path="../binaryclass/news20_adagrad.html">
<a href="../binaryclass/news20_adagrad.html">
- <b>6.2.4.</b>
+ <b>6.3.4.</b>
AdaGradRDA, AdaGrad, AdaDelta
@@ -964,14 +985,14 @@
</li>
- <li class="chapter " data-level="6.3" data-path="../binaryclass/kdd2010a.html">
+ <li class="chapter " data-level="6.4" data-path="../binaryclass/kdd2010a.html">
<a href="../binaryclass/kdd2010a.html">
- <b>6.3.</b>
+ <b>6.4.</b>
- KDD2010a
+ KDD2010a tutorial
</a>
@@ -980,12 +1001,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.3.1" data-path="../binaryclass/kdd2010a_dataset.html">
+ <li class="chapter " data-level="6.4.1" data-path="../binaryclass/kdd2010a_dataset.html">
<a href="../binaryclass/kdd2010a_dataset.html">
- <b>6.3.1.</b>
+ <b>6.4.1.</b>
Data preparation
@@ -995,12 +1016,12 @@
</li>
- <li class="chapter " data-level="6.3.2" data-path="../binaryclass/kdd2010a_scw.html">
+ <li class="chapter " data-level="6.4.2" data-path="../binaryclass/kdd2010a_scw.html">
<a href="../binaryclass/kdd2010a_scw.html">
- <b>6.3.2.</b>
+ <b>6.4.2.</b>
PA, CW, AROW, SCW
@@ -1015,14 +1036,14 @@
</li>
- <li class="chapter " data-level="6.4" data-path="../binaryclass/kdd2010b.html">
+ <li class="chapter " data-level="6.5" data-path="../binaryclass/kdd2010b.html">
<a href="../binaryclass/kdd2010b.html">
- <b>6.4.</b>
+ <b>6.5.</b>
- KDD2010b
+ KDD2010b tutorial
</a>
@@ -1031,12 +1052,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.4.1" data-path="../binaryclass/kdd2010b_dataset.html">
+ <li class="chapter " data-level="6.5.1" data-path="../binaryclass/kdd2010b_dataset.html">
<a href="../binaryclass/kdd2010b_dataset.html">
- <b>6.4.1.</b>
+ <b>6.5.1.</b>
Data preparation
@@ -1046,12 +1067,12 @@
</li>
- <li class="chapter " data-level="6.4.2" data-path="../binaryclass/kdd2010b_arow.html">
+ <li class="chapter " data-level="6.5.2" data-path="../binaryclass/kdd2010b_arow.html">
<a href="../binaryclass/kdd2010b_arow.html">
- <b>6.4.2.</b>
+ <b>6.5.2.</b>
AROW
@@ -1066,14 +1087,14 @@
</li>
- <li class="chapter " data-level="6.5" data-path="../binaryclass/webspam.html">
+ <li class="chapter " data-level="6.6" data-path="../binaryclass/webspam.html">
<a href="../binaryclass/webspam.html">
- <b>6.5.</b>
+ <b>6.6.</b>
- Webspam
+ Webspam tutorial
</a>
@@ -1082,12 +1103,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.5.1" data-path="../binaryclass/webspam_dataset.html">
+ <li class="chapter " data-level="6.6.1" data-path="../binaryclass/webspam_dataset.html">
<a href="../binaryclass/webspam_dataset.html">
- <b>6.5.1.</b>
+ <b>6.6.1.</b>
Data pareparation
@@ -1097,12 +1118,12 @@
</li>
- <li class="chapter " data-level="6.5.2" data-path="../binaryclass/webspam_scw.html">
+ <li class="chapter " data-level="6.6.2" data-path="../binaryclass/webspam_scw.html">
<a href="../binaryclass/webspam_scw.html">
- <b>6.5.2.</b>
+ <b>6.6.2.</b>
PA1, AROW, SCW
@@ -1117,14 +1138,14 @@
</li>
- <li class="chapter " data-level="6.6" data-path="../binaryclass/titanic_rf.html">
+ <li class="chapter " data-level="6.7" data-path="../binaryclass/titanic_rf.html">
<a href="../binaryclass/titanic_rf.html">
- <b>6.6.</b>
+ <b>6.7.</b>
- Kaggle Titanic
+ Kaggle Titanic tutorial
</a>
@@ -1135,7 +1156,7 @@
- <li class="header">Part VII - Multiclass classification tutorials</li>
+ <li class="header">Part VII - Multiclass classification</li>
@@ -1146,7 +1167,7 @@
<b>7.1.</b>
- News20 Multiclass
+ News20 Multiclass tutorial
</a>
@@ -1257,7 +1278,7 @@
<b>7.2.</b>
- Iris
+ Iris tutorial
</a>
@@ -1319,18 +1340,33 @@
- <li class="header">Part VIII - Regression tutorials</li>
+ <li class="header">Part VIII - Regression</li>
- <li class="chapter " data-level="8.1" data-path="../regression/e2006.html">
+ <li class="chapter " data-level="8.1" data-path="../regression/general.html">
- <a href="../regression/e2006.html">
+ <a href="../regression/general.html">
<b>8.1.</b>
- E2006-tfidf regression
+ Regression
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="8.2" data-path="../regression/e2006.html">
+
+ <a href="../regression/e2006.html">
+
+
+ <b>8.2.</b>
+
+ E2006-tfidf regression tutorial
</a>
@@ -1339,12 +1375,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.1.1" data-path="../regression/e2006_dataset.html">
+ <li class="chapter " data-level="8.2.1" data-path="../regression/e2006_dataset.html">
<a href="../regression/e2006_dataset.html">
- <b>8.1.1.</b>
+ <b>8.2.1.</b>
Data preparation
@@ -1354,12 +1390,12 @@
</li>
- <li class="chapter " data-level="8.1.2" data-path="../regression/e2006_arow.html">
+ <li class="chapter " data-level="8.2.2" data-path="../regression/e2006_arow.html">
<a href="../regression/e2006_arow.html">
- <b>8.1.2.</b>
+ <b>8.2.2.</b>
Passive Aggressive, AROW
@@ -1374,14 +1410,14 @@
</li>
- <li class="chapter " data-level="8.2" data-path="../regression/kddcup12tr2.html">
+ <li class="chapter " data-level="8.3" data-path="../regression/kddcup12tr2.html">
<a href="../regression/kddcup12tr2.html">
- <b>8.2.</b>
+ <b>8.3.</b>
- KDDCup 2012 track 2 CTR prediction
+ KDDCup 2012 track 2 CTR prediction tutorial
</a>
@@ -1390,12 +1426,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.2.1" data-path="../regression/kddcup12tr2_dataset.html">
+ <li class="chapter " data-level="8.3.1" data-path="../regression/kddcup12tr2_dataset.html">
<a href="../regression/kddcup12tr2_dataset.html">
- <b>8.2.1.</b>
+ <b>8.3.1.</b>
Data preparation
@@ -1405,12 +1441,12 @@
</li>
- <li class="chapter " data-level="8.2.2" data-path="../regression/kddcup12tr2_lr.html">
+ <li class="chapter " data-level="8.3.2" data-path="../regression/kddcup12tr2_lr.html">
<a href="../regression/kddcup12tr2_lr.html">
- <b>8.2.2.</b>
+ <b>8.3.2.</b>
Logistic Regression, Passive Aggressive
@@ -1420,12 +1456,12 @@
</li>
- <li class="chapter " data-level="8.2.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
+ <li class="chapter " data-level="8.3.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
<a href="../regression/kddcup12tr2_lr_amplify.html">
- <b>8.2.3.</b>
+ <b>8.3.3.</b>
Logistic Regression with Amplifier
@@ -1435,12 +1471,12 @@
</li>
- <li class="chapter " data-level="8.2.4" data-path="../regression/kddcup12tr2_adagrad.html">
+ <li class="chapter " data-level="8.3.4" data-path="../regression/kddcup12tr2_adagrad.html">
<a href="../regression/kddcup12tr2_adagrad.html">
- <b>8.2.4.</b>
+ <b>8.3.4.</b>
AdaGrad, AdaDelta
@@ -2277,7 +2313,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
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[11/41] incubator-hivemall-site git commit: Added descriptions about
Feature Pairing in the user guide
Posted by my...@apache.org.
http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/ba518dab/userguide/regression/kddcup12tr2_adagrad.html
----------------------------------------------------------------------
diff --git a/userguide/regression/kddcup12tr2_adagrad.html b/userguide/regression/kddcup12tr2_adagrad.html
index 10558df..9914a7f 100644
--- a/userguide/regression/kddcup12tr2_adagrad.html
+++ b/userguide/regression/kddcup12tr2_adagrad.html
@@ -598,14 +598,30 @@
</li>
- <li class="chapter " data-level="3.5" data-path="../ft_engineering/tfidf.html">
+ <li class="chapter " data-level="3.5" data-path="../ft_engineering/pairing.html">
- <a href="../ft_engineering/tfidf.html">
+ <a href="../ft_engineering/pairing.html">
<b>3.5.</b>
- TF-IDF Calculation
+ FEATURE PAIRING
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="3.5.1" data-path="../ft_engineering/polynomial.html">
+
+ <a href="../ft_engineering/polynomial.html">
+
+
+ <b>3.5.1.</b>
+
+ Polynomial Features
</a>
@@ -613,6 +629,11 @@
</li>
+
+ </ul>
+
+ </li>
+
<li class="chapter " data-level="3.6" data-path="../ft_engineering/ft_trans.html">
<a href="../ft_engineering/ft_trans.html">
@@ -664,6 +685,21 @@
</li>
+ <li class="chapter " data-level="3.7" data-path="../ft_engineering/tfidf.html">
+
+ <a href="../ft_engineering/tfidf.html">
+
+
+ <b>3.7.</b>
+
+ TF-IDF Calculation
+
+ </a>
+
+
+
+ </li>
+
@@ -761,7 +797,7 @@
- <li class="header">Part V - Prediction</li>
+ <li class="header">Part V - Supervised Learning</li>
@@ -780,27 +816,19 @@
</li>
- <li class="chapter " data-level="5.2" data-path="general.html">
-
- <a href="general.html">
-
-
- <b>5.2.</b>
-
- Regression
-
- </a>
-
-
- </li>
- <li class="chapter " data-level="5.3" data-path="../binaryclass/general.html">
+
+ <li class="header">Part VI - Binary classification</li>
+
+
+
+ <li class="chapter " data-level="6.1" data-path="../binaryclass/general.html">
<a href="../binaryclass/general.html">
- <b>5.3.</b>
+ <b>6.1.</b>
Binary Classification
@@ -810,21 +838,14 @@
</li>
-
-
-
- <li class="header">Part VI - Binary classification tutorials</li>
-
-
-
- <li class="chapter " data-level="6.1" data-path="../binaryclass/a9a.html">
+ <li class="chapter " data-level="6.2" data-path="../binaryclass/a9a.html">
<a href="../binaryclass/a9a.html">
- <b>6.1.</b>
+ <b>6.2.</b>
- a9a
+ a9a tutorial
</a>
@@ -833,12 +854,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.1.1" data-path="../binaryclass/a9a_dataset.html">
+ <li class="chapter " data-level="6.2.1" data-path="../binaryclass/a9a_dataset.html">
<a href="../binaryclass/a9a_dataset.html">
- <b>6.1.1.</b>
+ <b>6.2.1.</b>
Data preparation
@@ -848,12 +869,12 @@
</li>
- <li class="chapter " data-level="6.1.2" data-path="../binaryclass/a9a_lr.html">
+ <li class="chapter " data-level="6.2.2" data-path="../binaryclass/a9a_lr.html">
<a href="../binaryclass/a9a_lr.html">
- <b>6.1.2.</b>
+ <b>6.2.2.</b>
Logistic Regression
@@ -863,12 +884,12 @@
</li>
- <li class="chapter " data-level="6.1.3" data-path="../binaryclass/a9a_minibatch.html">
+ <li class="chapter " data-level="6.2.3" data-path="../binaryclass/a9a_minibatch.html">
<a href="../binaryclass/a9a_minibatch.html">
- <b>6.1.3.</b>
+ <b>6.2.3.</b>
Mini-batch Gradient Descent
@@ -883,14 +904,14 @@
</li>
- <li class="chapter " data-level="6.2" data-path="../binaryclass/news20.html">
+ <li class="chapter " data-level="6.3" data-path="../binaryclass/news20.html">
<a href="../binaryclass/news20.html">
- <b>6.2.</b>
+ <b>6.3.</b>
- News20
+ News20 tutorial
</a>
@@ -899,12 +920,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.2.1" data-path="../binaryclass/news20_dataset.html">
+ <li class="chapter " data-level="6.3.1" data-path="../binaryclass/news20_dataset.html">
<a href="../binaryclass/news20_dataset.html">
- <b>6.2.1.</b>
+ <b>6.3.1.</b>
Data preparation
@@ -914,12 +935,12 @@
</li>
- <li class="chapter " data-level="6.2.2" data-path="../binaryclass/news20_pa.html">
+ <li class="chapter " data-level="6.3.2" data-path="../binaryclass/news20_pa.html">
<a href="../binaryclass/news20_pa.html">
- <b>6.2.2.</b>
+ <b>6.3.2.</b>
Perceptron, Passive Aggressive
@@ -929,12 +950,12 @@
</li>
- <li class="chapter " data-level="6.2.3" data-path="../binaryclass/news20_scw.html">
+ <li class="chapter " data-level="6.3.3" data-path="../binaryclass/news20_scw.html">
<a href="../binaryclass/news20_scw.html">
- <b>6.2.3.</b>
+ <b>6.3.3.</b>
CW, AROW, SCW
@@ -944,12 +965,12 @@
</li>
- <li class="chapter " data-level="6.2.4" data-path="../binaryclass/news20_adagrad.html">
+ <li class="chapter " data-level="6.3.4" data-path="../binaryclass/news20_adagrad.html">
<a href="../binaryclass/news20_adagrad.html">
- <b>6.2.4.</b>
+ <b>6.3.4.</b>
AdaGradRDA, AdaGrad, AdaDelta
@@ -964,14 +985,14 @@
</li>
- <li class="chapter " data-level="6.3" data-path="../binaryclass/kdd2010a.html">
+ <li class="chapter " data-level="6.4" data-path="../binaryclass/kdd2010a.html">
<a href="../binaryclass/kdd2010a.html">
- <b>6.3.</b>
+ <b>6.4.</b>
- KDD2010a
+ KDD2010a tutorial
</a>
@@ -980,12 +1001,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.3.1" data-path="../binaryclass/kdd2010a_dataset.html">
+ <li class="chapter " data-level="6.4.1" data-path="../binaryclass/kdd2010a_dataset.html">
<a href="../binaryclass/kdd2010a_dataset.html">
- <b>6.3.1.</b>
+ <b>6.4.1.</b>
Data preparation
@@ -995,12 +1016,12 @@
</li>
- <li class="chapter " data-level="6.3.2" data-path="../binaryclass/kdd2010a_scw.html">
+ <li class="chapter " data-level="6.4.2" data-path="../binaryclass/kdd2010a_scw.html">
<a href="../binaryclass/kdd2010a_scw.html">
- <b>6.3.2.</b>
+ <b>6.4.2.</b>
PA, CW, AROW, SCW
@@ -1015,14 +1036,14 @@
</li>
- <li class="chapter " data-level="6.4" data-path="../binaryclass/kdd2010b.html">
+ <li class="chapter " data-level="6.5" data-path="../binaryclass/kdd2010b.html">
<a href="../binaryclass/kdd2010b.html">
- <b>6.4.</b>
+ <b>6.5.</b>
- KDD2010b
+ KDD2010b tutorial
</a>
@@ -1031,12 +1052,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.4.1" data-path="../binaryclass/kdd2010b_dataset.html">
+ <li class="chapter " data-level="6.5.1" data-path="../binaryclass/kdd2010b_dataset.html">
<a href="../binaryclass/kdd2010b_dataset.html">
- <b>6.4.1.</b>
+ <b>6.5.1.</b>
Data preparation
@@ -1046,12 +1067,12 @@
</li>
- <li class="chapter " data-level="6.4.2" data-path="../binaryclass/kdd2010b_arow.html">
+ <li class="chapter " data-level="6.5.2" data-path="../binaryclass/kdd2010b_arow.html">
<a href="../binaryclass/kdd2010b_arow.html">
- <b>6.4.2.</b>
+ <b>6.5.2.</b>
AROW
@@ -1066,14 +1087,14 @@
</li>
- <li class="chapter " data-level="6.5" data-path="../binaryclass/webspam.html">
+ <li class="chapter " data-level="6.6" data-path="../binaryclass/webspam.html">
<a href="../binaryclass/webspam.html">
- <b>6.5.</b>
+ <b>6.6.</b>
- Webspam
+ Webspam tutorial
</a>
@@ -1082,12 +1103,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.5.1" data-path="../binaryclass/webspam_dataset.html">
+ <li class="chapter " data-level="6.6.1" data-path="../binaryclass/webspam_dataset.html">
<a href="../binaryclass/webspam_dataset.html">
- <b>6.5.1.</b>
+ <b>6.6.1.</b>
Data pareparation
@@ -1097,12 +1118,12 @@
</li>
- <li class="chapter " data-level="6.5.2" data-path="../binaryclass/webspam_scw.html">
+ <li class="chapter " data-level="6.6.2" data-path="../binaryclass/webspam_scw.html">
<a href="../binaryclass/webspam_scw.html">
- <b>6.5.2.</b>
+ <b>6.6.2.</b>
PA1, AROW, SCW
@@ -1117,14 +1138,14 @@
</li>
- <li class="chapter " data-level="6.6" data-path="../binaryclass/titanic_rf.html">
+ <li class="chapter " data-level="6.7" data-path="../binaryclass/titanic_rf.html">
<a href="../binaryclass/titanic_rf.html">
- <b>6.6.</b>
+ <b>6.7.</b>
- Kaggle Titanic
+ Kaggle Titanic tutorial
</a>
@@ -1135,7 +1156,7 @@
- <li class="header">Part VII - Multiclass classification tutorials</li>
+ <li class="header">Part VII - Multiclass classification</li>
@@ -1146,7 +1167,7 @@
<b>7.1.</b>
- News20 Multiclass
+ News20 Multiclass tutorial
</a>
@@ -1257,7 +1278,7 @@
<b>7.2.</b>
- Iris
+ Iris tutorial
</a>
@@ -1319,18 +1340,33 @@
- <li class="header">Part VIII - Regression tutorials</li>
+ <li class="header">Part VIII - Regression</li>
- <li class="chapter " data-level="8.1" data-path="e2006.html">
+ <li class="chapter " data-level="8.1" data-path="general.html">
- <a href="e2006.html">
+ <a href="general.html">
<b>8.1.</b>
- E2006-tfidf regression
+ Regression
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="8.2" data-path="e2006.html">
+
+ <a href="e2006.html">
+
+
+ <b>8.2.</b>
+
+ E2006-tfidf regression tutorial
</a>
@@ -1339,12 +1375,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.1.1" data-path="e2006_dataset.html">
+ <li class="chapter " data-level="8.2.1" data-path="e2006_dataset.html">
<a href="e2006_dataset.html">
- <b>8.1.1.</b>
+ <b>8.2.1.</b>
Data preparation
@@ -1354,12 +1390,12 @@
</li>
- <li class="chapter " data-level="8.1.2" data-path="e2006_arow.html">
+ <li class="chapter " data-level="8.2.2" data-path="e2006_arow.html">
<a href="e2006_arow.html">
- <b>8.1.2.</b>
+ <b>8.2.2.</b>
Passive Aggressive, AROW
@@ -1374,14 +1410,14 @@
</li>
- <li class="chapter " data-level="8.2" data-path="kddcup12tr2.html">
+ <li class="chapter " data-level="8.3" data-path="kddcup12tr2.html">
<a href="kddcup12tr2.html">
- <b>8.2.</b>
+ <b>8.3.</b>
- KDDCup 2012 track 2 CTR prediction
+ KDDCup 2012 track 2 CTR prediction tutorial
</a>
@@ -1390,12 +1426,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.2.1" data-path="kddcup12tr2_dataset.html">
+ <li class="chapter " data-level="8.3.1" data-path="kddcup12tr2_dataset.html">
<a href="kddcup12tr2_dataset.html">
- <b>8.2.1.</b>
+ <b>8.3.1.</b>
Data preparation
@@ -1405,12 +1441,12 @@
</li>
- <li class="chapter " data-level="8.2.2" data-path="kddcup12tr2_lr.html">
+ <li class="chapter " data-level="8.3.2" data-path="kddcup12tr2_lr.html">
<a href="kddcup12tr2_lr.html">
- <b>8.2.2.</b>
+ <b>8.3.2.</b>
Logistic Regression, Passive Aggressive
@@ -1420,12 +1456,12 @@
</li>
- <li class="chapter " data-level="8.2.3" data-path="kddcup12tr2_lr_amplify.html">
+ <li class="chapter " data-level="8.3.3" data-path="kddcup12tr2_lr_amplify.html">
<a href="kddcup12tr2_lr_amplify.html">
- <b>8.2.3.</b>
+ <b>8.3.3.</b>
Logistic Regression with Amplifier
@@ -1435,12 +1471,12 @@
</li>
- <li class="chapter active" data-level="8.2.4" data-path="kddcup12tr2_adagrad.html">
+ <li class="chapter active" data-level="8.3.4" data-path="kddcup12tr2_adagrad.html">
<a href="kddcup12tr2_adagrad.html">
- <b>8.2.4.</b>
+ <b>8.3.4.</b>
AdaGrad, AdaDelta
@@ -2229,7 +2265,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
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----------------------------------------------------------------------
diff --git a/userguide/regression/kddcup12tr2_dataset.html b/userguide/regression/kddcup12tr2_dataset.html
index 0678172..796fecc 100644
--- a/userguide/regression/kddcup12tr2_dataset.html
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@@ -598,14 +598,30 @@
</li>
- <li class="chapter " data-level="3.5" data-path="../ft_engineering/tfidf.html">
+ <li class="chapter " data-level="3.5" data-path="../ft_engineering/pairing.html">
- <a href="../ft_engineering/tfidf.html">
+ <a href="../ft_engineering/pairing.html">
<b>3.5.</b>
- TF-IDF Calculation
+ FEATURE PAIRING
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="3.5.1" data-path="../ft_engineering/polynomial.html">
+
+ <a href="../ft_engineering/polynomial.html">
+
+
+ <b>3.5.1.</b>
+
+ Polynomial Features
</a>
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</li>
+
+ </ul>
+
+ </li>
+
<li class="chapter " data-level="3.6" data-path="../ft_engineering/ft_trans.html">
<a href="../ft_engineering/ft_trans.html">
@@ -664,6 +685,21 @@
</li>
+ <li class="chapter " data-level="3.7" data-path="../ft_engineering/tfidf.html">
+
+ <a href="../ft_engineering/tfidf.html">
+
+
+ <b>3.7.</b>
+
+ TF-IDF Calculation
+
+ </a>
+
+
+
+ </li>
+
@@ -761,7 +797,7 @@
- <li class="header">Part V - Prediction</li>
+ <li class="header">Part V - Supervised Learning</li>
@@ -780,27 +816,19 @@
</li>
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-
- <a href="general.html">
-
-
- <b>5.2.</b>
-
- Regression
-
- </a>
-
-
- </li>
- <li class="chapter " data-level="5.3" data-path="../binaryclass/general.html">
+
+ <li class="header">Part VI - Binary classification</li>
+
+
+
+ <li class="chapter " data-level="6.1" data-path="../binaryclass/general.html">
<a href="../binaryclass/general.html">
- <b>5.3.</b>
+ <b>6.1.</b>
Binary Classification
@@ -810,21 +838,14 @@
</li>
-
-
-
- <li class="header">Part VI - Binary classification tutorials</li>
-
-
-
- <li class="chapter " data-level="6.1" data-path="../binaryclass/a9a.html">
+ <li class="chapter " data-level="6.2" data-path="../binaryclass/a9a.html">
<a href="../binaryclass/a9a.html">
- <b>6.1.</b>
+ <b>6.2.</b>
- a9a
+ a9a tutorial
</a>
@@ -833,12 +854,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.1.1" data-path="../binaryclass/a9a_dataset.html">
+ <li class="chapter " data-level="6.2.1" data-path="../binaryclass/a9a_dataset.html">
<a href="../binaryclass/a9a_dataset.html">
- <b>6.1.1.</b>
+ <b>6.2.1.</b>
Data preparation
@@ -848,12 +869,12 @@
</li>
- <li class="chapter " data-level="6.1.2" data-path="../binaryclass/a9a_lr.html">
+ <li class="chapter " data-level="6.2.2" data-path="../binaryclass/a9a_lr.html">
<a href="../binaryclass/a9a_lr.html">
- <b>6.1.2.</b>
+ <b>6.2.2.</b>
Logistic Regression
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</li>
- <li class="chapter " data-level="6.1.3" data-path="../binaryclass/a9a_minibatch.html">
+ <li class="chapter " data-level="6.2.3" data-path="../binaryclass/a9a_minibatch.html">
<a href="../binaryclass/a9a_minibatch.html">
- <b>6.1.3.</b>
+ <b>6.2.3.</b>
Mini-batch Gradient Descent
@@ -883,14 +904,14 @@
</li>
- <li class="chapter " data-level="6.2" data-path="../binaryclass/news20.html">
+ <li class="chapter " data-level="6.3" data-path="../binaryclass/news20.html">
<a href="../binaryclass/news20.html">
- <b>6.2.</b>
+ <b>6.3.</b>
- News20
+ News20 tutorial
</a>
@@ -899,12 +920,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.2.1" data-path="../binaryclass/news20_dataset.html">
+ <li class="chapter " data-level="6.3.1" data-path="../binaryclass/news20_dataset.html">
<a href="../binaryclass/news20_dataset.html">
- <b>6.2.1.</b>
+ <b>6.3.1.</b>
Data preparation
@@ -914,12 +935,12 @@
</li>
- <li class="chapter " data-level="6.2.2" data-path="../binaryclass/news20_pa.html">
+ <li class="chapter " data-level="6.3.2" data-path="../binaryclass/news20_pa.html">
<a href="../binaryclass/news20_pa.html">
- <b>6.2.2.</b>
+ <b>6.3.2.</b>
Perceptron, Passive Aggressive
@@ -929,12 +950,12 @@
</li>
- <li class="chapter " data-level="6.2.3" data-path="../binaryclass/news20_scw.html">
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<a href="../binaryclass/news20_scw.html">
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+ <b>6.3.3.</b>
CW, AROW, SCW
@@ -944,12 +965,12 @@
</li>
- <li class="chapter " data-level="6.2.4" data-path="../binaryclass/news20_adagrad.html">
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<a href="../binaryclass/news20_adagrad.html">
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+ <b>6.3.4.</b>
AdaGradRDA, AdaGrad, AdaDelta
@@ -964,14 +985,14 @@
</li>
- <li class="chapter " data-level="6.3" data-path="../binaryclass/kdd2010a.html">
+ <li class="chapter " data-level="6.4" data-path="../binaryclass/kdd2010a.html">
<a href="../binaryclass/kdd2010a.html">
- <b>6.3.</b>
+ <b>6.4.</b>
- KDD2010a
+ KDD2010a tutorial
</a>
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<ul class="articles">
- <li class="chapter " data-level="6.3.1" data-path="../binaryclass/kdd2010a_dataset.html">
+ <li class="chapter " data-level="6.4.1" data-path="../binaryclass/kdd2010a_dataset.html">
<a href="../binaryclass/kdd2010a_dataset.html">
- <b>6.3.1.</b>
+ <b>6.4.1.</b>
Data preparation
@@ -995,12 +1016,12 @@
</li>
- <li class="chapter " data-level="6.3.2" data-path="../binaryclass/kdd2010a_scw.html">
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<a href="../binaryclass/kdd2010a_scw.html">
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+ <b>6.4.2.</b>
PA, CW, AROW, SCW
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</li>
- <li class="chapter " data-level="6.4" data-path="../binaryclass/kdd2010b.html">
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<a href="../binaryclass/kdd2010b.html">
- <b>6.4.</b>
+ <b>6.5.</b>
- KDD2010b
+ KDD2010b tutorial
</a>
@@ -1031,12 +1052,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.4.1" data-path="../binaryclass/kdd2010b_dataset.html">
+ <li class="chapter " data-level="6.5.1" data-path="../binaryclass/kdd2010b_dataset.html">
<a href="../binaryclass/kdd2010b_dataset.html">
- <b>6.4.1.</b>
+ <b>6.5.1.</b>
Data preparation
@@ -1046,12 +1067,12 @@
</li>
- <li class="chapter " data-level="6.4.2" data-path="../binaryclass/kdd2010b_arow.html">
+ <li class="chapter " data-level="6.5.2" data-path="../binaryclass/kdd2010b_arow.html">
<a href="../binaryclass/kdd2010b_arow.html">
- <b>6.4.2.</b>
+ <b>6.5.2.</b>
AROW
@@ -1066,14 +1087,14 @@
</li>
- <li class="chapter " data-level="6.5" data-path="../binaryclass/webspam.html">
+ <li class="chapter " data-level="6.6" data-path="../binaryclass/webspam.html">
<a href="../binaryclass/webspam.html">
- <b>6.5.</b>
+ <b>6.6.</b>
- Webspam
+ Webspam tutorial
</a>
@@ -1082,12 +1103,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.5.1" data-path="../binaryclass/webspam_dataset.html">
+ <li class="chapter " data-level="6.6.1" data-path="../binaryclass/webspam_dataset.html">
<a href="../binaryclass/webspam_dataset.html">
- <b>6.5.1.</b>
+ <b>6.6.1.</b>
Data pareparation
@@ -1097,12 +1118,12 @@
</li>
- <li class="chapter " data-level="6.5.2" data-path="../binaryclass/webspam_scw.html">
+ <li class="chapter " data-level="6.6.2" data-path="../binaryclass/webspam_scw.html">
<a href="../binaryclass/webspam_scw.html">
- <b>6.5.2.</b>
+ <b>6.6.2.</b>
PA1, AROW, SCW
@@ -1117,14 +1138,14 @@
</li>
- <li class="chapter " data-level="6.6" data-path="../binaryclass/titanic_rf.html">
+ <li class="chapter " data-level="6.7" data-path="../binaryclass/titanic_rf.html">
<a href="../binaryclass/titanic_rf.html">
- <b>6.6.</b>
+ <b>6.7.</b>
- Kaggle Titanic
+ Kaggle Titanic tutorial
</a>
@@ -1135,7 +1156,7 @@
- <li class="header">Part VII - Multiclass classification tutorials</li>
+ <li class="header">Part VII - Multiclass classification</li>
@@ -1146,7 +1167,7 @@
<b>7.1.</b>
- News20 Multiclass
+ News20 Multiclass tutorial
</a>
@@ -1257,7 +1278,7 @@
<b>7.2.</b>
- Iris
+ Iris tutorial
</a>
@@ -1319,18 +1340,33 @@
- <li class="header">Part VIII - Regression tutorials</li>
+ <li class="header">Part VIII - Regression</li>
- <li class="chapter " data-level="8.1" data-path="e2006.html">
+ <li class="chapter " data-level="8.1" data-path="general.html">
- <a href="e2006.html">
+ <a href="general.html">
<b>8.1.</b>
- E2006-tfidf regression
+ Regression
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="8.2" data-path="e2006.html">
+
+ <a href="e2006.html">
+
+
+ <b>8.2.</b>
+
+ E2006-tfidf regression tutorial
</a>
@@ -1339,12 +1375,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.1.1" data-path="e2006_dataset.html">
+ <li class="chapter " data-level="8.2.1" data-path="e2006_dataset.html">
<a href="e2006_dataset.html">
- <b>8.1.1.</b>
+ <b>8.2.1.</b>
Data preparation
@@ -1354,12 +1390,12 @@
</li>
- <li class="chapter " data-level="8.1.2" data-path="e2006_arow.html">
+ <li class="chapter " data-level="8.2.2" data-path="e2006_arow.html">
<a href="e2006_arow.html">
- <b>8.1.2.</b>
+ <b>8.2.2.</b>
Passive Aggressive, AROW
@@ -1374,14 +1410,14 @@
</li>
- <li class="chapter " data-level="8.2" data-path="kddcup12tr2.html">
+ <li class="chapter " data-level="8.3" data-path="kddcup12tr2.html">
<a href="kddcup12tr2.html">
- <b>8.2.</b>
+ <b>8.3.</b>
- KDDCup 2012 track 2 CTR prediction
+ KDDCup 2012 track 2 CTR prediction tutorial
</a>
@@ -1390,12 +1426,12 @@
<ul class="articles">
- <li class="chapter active" data-level="8.2.1" data-path="kddcup12tr2_dataset.html">
+ <li class="chapter active" data-level="8.3.1" data-path="kddcup12tr2_dataset.html">
<a href="kddcup12tr2_dataset.html">
- <b>8.2.1.</b>
+ <b>8.3.1.</b>
Data preparation
@@ -1405,12 +1441,12 @@
</li>
- <li class="chapter " data-level="8.2.2" data-path="kddcup12tr2_lr.html">
+ <li class="chapter " data-level="8.3.2" data-path="kddcup12tr2_lr.html">
<a href="kddcup12tr2_lr.html">
- <b>8.2.2.</b>
+ <b>8.3.2.</b>
Logistic Regression, Passive Aggressive
@@ -1420,12 +1456,12 @@
</li>
- <li class="chapter " data-level="8.2.3" data-path="kddcup12tr2_lr_amplify.html">
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<a href="kddcup12tr2_lr_amplify.html">
- <b>8.2.3.</b>
+ <b>8.3.3.</b>
Logistic Regression with Amplifier
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</li>
- <li class="chapter " data-level="8.2.4" data-path="kddcup12tr2_adagrad.html">
+ <li class="chapter " data-level="8.3.4" data-path="kddcup12tr2_adagrad.html">
<a href="kddcup12tr2_adagrad.html">
- <b>8.2.4.</b>
+ <b>8.3.4.</b>
AdaGrad, AdaDelta
@@ -2378,7 +2414,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
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----------------------------------------------------------------------
diff --git a/userguide/regression/kddcup12tr2_lr.html b/userguide/regression/kddcup12tr2_lr.html
index b4aef70..10c911b 100644
--- a/userguide/regression/kddcup12tr2_lr.html
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@@ -598,14 +598,30 @@
</li>
- <li class="chapter " data-level="3.5" data-path="../ft_engineering/tfidf.html">
+ <li class="chapter " data-level="3.5" data-path="../ft_engineering/pairing.html">
- <a href="../ft_engineering/tfidf.html">
+ <a href="../ft_engineering/pairing.html">
<b>3.5.</b>
- TF-IDF Calculation
+ FEATURE PAIRING
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="3.5.1" data-path="../ft_engineering/polynomial.html">
+
+ <a href="../ft_engineering/polynomial.html">
+
+
+ <b>3.5.1.</b>
+
+ Polynomial Features
</a>
@@ -613,6 +629,11 @@
</li>
+
+ </ul>
+
+ </li>
+
<li class="chapter " data-level="3.6" data-path="../ft_engineering/ft_trans.html">
<a href="../ft_engineering/ft_trans.html">
@@ -664,6 +685,21 @@
</li>
+ <li class="chapter " data-level="3.7" data-path="../ft_engineering/tfidf.html">
+
+ <a href="../ft_engineering/tfidf.html">
+
+
+ <b>3.7.</b>
+
+ TF-IDF Calculation
+
+ </a>
+
+
+
+ </li>
+
@@ -761,7 +797,7 @@
- <li class="header">Part V - Prediction</li>
+ <li class="header">Part V - Supervised Learning</li>
@@ -780,27 +816,19 @@
</li>
- <li class="chapter " data-level="5.2" data-path="general.html">
-
- <a href="general.html">
-
-
- <b>5.2.</b>
-
- Regression
-
- </a>
-
-
- </li>
- <li class="chapter " data-level="5.3" data-path="../binaryclass/general.html">
+
+ <li class="header">Part VI - Binary classification</li>
+
+
+
+ <li class="chapter " data-level="6.1" data-path="../binaryclass/general.html">
<a href="../binaryclass/general.html">
- <b>5.3.</b>
+ <b>6.1.</b>
Binary Classification
@@ -810,21 +838,14 @@
</li>
-
-
-
- <li class="header">Part VI - Binary classification tutorials</li>
-
-
-
- <li class="chapter " data-level="6.1" data-path="../binaryclass/a9a.html">
+ <li class="chapter " data-level="6.2" data-path="../binaryclass/a9a.html">
<a href="../binaryclass/a9a.html">
- <b>6.1.</b>
+ <b>6.2.</b>
- a9a
+ a9a tutorial
</a>
@@ -833,12 +854,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.1.1" data-path="../binaryclass/a9a_dataset.html">
+ <li class="chapter " data-level="6.2.1" data-path="../binaryclass/a9a_dataset.html">
<a href="../binaryclass/a9a_dataset.html">
- <b>6.1.1.</b>
+ <b>6.2.1.</b>
Data preparation
@@ -848,12 +869,12 @@
</li>
- <li class="chapter " data-level="6.1.2" data-path="../binaryclass/a9a_lr.html">
+ <li class="chapter " data-level="6.2.2" data-path="../binaryclass/a9a_lr.html">
<a href="../binaryclass/a9a_lr.html">
- <b>6.1.2.</b>
+ <b>6.2.2.</b>
Logistic Regression
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</li>
- <li class="chapter " data-level="6.1.3" data-path="../binaryclass/a9a_minibatch.html">
+ <li class="chapter " data-level="6.2.3" data-path="../binaryclass/a9a_minibatch.html">
<a href="../binaryclass/a9a_minibatch.html">
- <b>6.1.3.</b>
+ <b>6.2.3.</b>
Mini-batch Gradient Descent
@@ -883,14 +904,14 @@
</li>
- <li class="chapter " data-level="6.2" data-path="../binaryclass/news20.html">
+ <li class="chapter " data-level="6.3" data-path="../binaryclass/news20.html">
<a href="../binaryclass/news20.html">
- <b>6.2.</b>
+ <b>6.3.</b>
- News20
+ News20 tutorial
</a>
@@ -899,12 +920,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.2.1" data-path="../binaryclass/news20_dataset.html">
+ <li class="chapter " data-level="6.3.1" data-path="../binaryclass/news20_dataset.html">
<a href="../binaryclass/news20_dataset.html">
- <b>6.2.1.</b>
+ <b>6.3.1.</b>
Data preparation
@@ -914,12 +935,12 @@
</li>
- <li class="chapter " data-level="6.2.2" data-path="../binaryclass/news20_pa.html">
+ <li class="chapter " data-level="6.3.2" data-path="../binaryclass/news20_pa.html">
<a href="../binaryclass/news20_pa.html">
- <b>6.2.2.</b>
+ <b>6.3.2.</b>
Perceptron, Passive Aggressive
@@ -929,12 +950,12 @@
</li>
- <li class="chapter " data-level="6.2.3" data-path="../binaryclass/news20_scw.html">
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<a href="../binaryclass/news20_scw.html">
- <b>6.2.3.</b>
+ <b>6.3.3.</b>
CW, AROW, SCW
@@ -944,12 +965,12 @@
</li>
- <li class="chapter " data-level="6.2.4" data-path="../binaryclass/news20_adagrad.html">
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<a href="../binaryclass/news20_adagrad.html">
- <b>6.2.4.</b>
+ <b>6.3.4.</b>
AdaGradRDA, AdaGrad, AdaDelta
@@ -964,14 +985,14 @@
</li>
- <li class="chapter " data-level="6.3" data-path="../binaryclass/kdd2010a.html">
+ <li class="chapter " data-level="6.4" data-path="../binaryclass/kdd2010a.html">
<a href="../binaryclass/kdd2010a.html">
- <b>6.3.</b>
+ <b>6.4.</b>
- KDD2010a
+ KDD2010a tutorial
</a>
@@ -980,12 +1001,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.3.1" data-path="../binaryclass/kdd2010a_dataset.html">
+ <li class="chapter " data-level="6.4.1" data-path="../binaryclass/kdd2010a_dataset.html">
<a href="../binaryclass/kdd2010a_dataset.html">
- <b>6.3.1.</b>
+ <b>6.4.1.</b>
Data preparation
@@ -995,12 +1016,12 @@
</li>
- <li class="chapter " data-level="6.3.2" data-path="../binaryclass/kdd2010a_scw.html">
+ <li class="chapter " data-level="6.4.2" data-path="../binaryclass/kdd2010a_scw.html">
<a href="../binaryclass/kdd2010a_scw.html">
- <b>6.3.2.</b>
+ <b>6.4.2.</b>
PA, CW, AROW, SCW
@@ -1015,14 +1036,14 @@
</li>
- <li class="chapter " data-level="6.4" data-path="../binaryclass/kdd2010b.html">
+ <li class="chapter " data-level="6.5" data-path="../binaryclass/kdd2010b.html">
<a href="../binaryclass/kdd2010b.html">
- <b>6.4.</b>
+ <b>6.5.</b>
- KDD2010b
+ KDD2010b tutorial
</a>
@@ -1031,12 +1052,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.4.1" data-path="../binaryclass/kdd2010b_dataset.html">
+ <li class="chapter " data-level="6.5.1" data-path="../binaryclass/kdd2010b_dataset.html">
<a href="../binaryclass/kdd2010b_dataset.html">
- <b>6.4.1.</b>
+ <b>6.5.1.</b>
Data preparation
@@ -1046,12 +1067,12 @@
</li>
- <li class="chapter " data-level="6.4.2" data-path="../binaryclass/kdd2010b_arow.html">
+ <li class="chapter " data-level="6.5.2" data-path="../binaryclass/kdd2010b_arow.html">
<a href="../binaryclass/kdd2010b_arow.html">
- <b>6.4.2.</b>
+ <b>6.5.2.</b>
AROW
@@ -1066,14 +1087,14 @@
</li>
- <li class="chapter " data-level="6.5" data-path="../binaryclass/webspam.html">
+ <li class="chapter " data-level="6.6" data-path="../binaryclass/webspam.html">
<a href="../binaryclass/webspam.html">
- <b>6.5.</b>
+ <b>6.6.</b>
- Webspam
+ Webspam tutorial
</a>
@@ -1082,12 +1103,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.5.1" data-path="../binaryclass/webspam_dataset.html">
+ <li class="chapter " data-level="6.6.1" data-path="../binaryclass/webspam_dataset.html">
<a href="../binaryclass/webspam_dataset.html">
- <b>6.5.1.</b>
+ <b>6.6.1.</b>
Data pareparation
@@ -1097,12 +1118,12 @@
</li>
- <li class="chapter " data-level="6.5.2" data-path="../binaryclass/webspam_scw.html">
+ <li class="chapter " data-level="6.6.2" data-path="../binaryclass/webspam_scw.html">
<a href="../binaryclass/webspam_scw.html">
- <b>6.5.2.</b>
+ <b>6.6.2.</b>
PA1, AROW, SCW
@@ -1117,14 +1138,14 @@
</li>
- <li class="chapter " data-level="6.6" data-path="../binaryclass/titanic_rf.html">
+ <li class="chapter " data-level="6.7" data-path="../binaryclass/titanic_rf.html">
<a href="../binaryclass/titanic_rf.html">
- <b>6.6.</b>
+ <b>6.7.</b>
- Kaggle Titanic
+ Kaggle Titanic tutorial
</a>
@@ -1135,7 +1156,7 @@
- <li class="header">Part VII - Multiclass classification tutorials</li>
+ <li class="header">Part VII - Multiclass classification</li>
@@ -1146,7 +1167,7 @@
<b>7.1.</b>
- News20 Multiclass
+ News20 Multiclass tutorial
</a>
@@ -1257,7 +1278,7 @@
<b>7.2.</b>
- Iris
+ Iris tutorial
</a>
@@ -1319,18 +1340,33 @@
- <li class="header">Part VIII - Regression tutorials</li>
+ <li class="header">Part VIII - Regression</li>
- <li class="chapter " data-level="8.1" data-path="e2006.html">
+ <li class="chapter " data-level="8.1" data-path="general.html">
- <a href="e2006.html">
+ <a href="general.html">
<b>8.1.</b>
- E2006-tfidf regression
+ Regression
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="8.2" data-path="e2006.html">
+
+ <a href="e2006.html">
+
+
+ <b>8.2.</b>
+
+ E2006-tfidf regression tutorial
</a>
@@ -1339,12 +1375,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.1.1" data-path="e2006_dataset.html">
+ <li class="chapter " data-level="8.2.1" data-path="e2006_dataset.html">
<a href="e2006_dataset.html">
- <b>8.1.1.</b>
+ <b>8.2.1.</b>
Data preparation
@@ -1354,12 +1390,12 @@
</li>
- <li class="chapter " data-level="8.1.2" data-path="e2006_arow.html">
+ <li class="chapter " data-level="8.2.2" data-path="e2006_arow.html">
<a href="e2006_arow.html">
- <b>8.1.2.</b>
+ <b>8.2.2.</b>
Passive Aggressive, AROW
@@ -1374,14 +1410,14 @@
</li>
- <li class="chapter " data-level="8.2" data-path="kddcup12tr2.html">
+ <li class="chapter " data-level="8.3" data-path="kddcup12tr2.html">
<a href="kddcup12tr2.html">
- <b>8.2.</b>
+ <b>8.3.</b>
- KDDCup 2012 track 2 CTR prediction
+ KDDCup 2012 track 2 CTR prediction tutorial
</a>
@@ -1390,12 +1426,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.2.1" data-path="kddcup12tr2_dataset.html">
+ <li class="chapter " data-level="8.3.1" data-path="kddcup12tr2_dataset.html">
<a href="kddcup12tr2_dataset.html">
- <b>8.2.1.</b>
+ <b>8.3.1.</b>
Data preparation
@@ -1405,12 +1441,12 @@
</li>
- <li class="chapter active" data-level="8.2.2" data-path="kddcup12tr2_lr.html">
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<a href="kddcup12tr2_lr.html">
- <b>8.2.2.</b>
+ <b>8.3.2.</b>
Logistic Regression, Passive Aggressive
@@ -1420,12 +1456,12 @@
</li>
- <li class="chapter " data-level="8.2.3" data-path="kddcup12tr2_lr_amplify.html">
+ <li class="chapter " data-level="8.3.3" data-path="kddcup12tr2_lr_amplify.html">
<a href="kddcup12tr2_lr_amplify.html">
- <b>8.2.3.</b>
+ <b>8.3.3.</b>
Logistic Regression with Amplifier
@@ -1435,12 +1471,12 @@
</li>
- <li class="chapter " data-level="8.2.4" data-path="kddcup12tr2_adagrad.html">
+ <li class="chapter " data-level="8.3.4" data-path="kddcup12tr2_adagrad.html">
<a href="kddcup12tr2_adagrad.html">
- <b>8.2.4.</b>
+ <b>8.3.4.</b>
AdaGrad, AdaDelta
@@ -2279,7 +2315,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
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[39/41] incubator-hivemall-site git commit: Added descriptions about
Feature Pairing in the user guide
Posted by my...@apache.org.
http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/ba518dab/userguide/binaryclass/a9a_minibatch.html
----------------------------------------------------------------------
diff --git a/userguide/binaryclass/a9a_minibatch.html b/userguide/binaryclass/a9a_minibatch.html
index b302cee..50f5dba 100644
--- a/userguide/binaryclass/a9a_minibatch.html
+++ b/userguide/binaryclass/a9a_minibatch.html
@@ -598,14 +598,30 @@
</li>
- <li class="chapter " data-level="3.5" data-path="../ft_engineering/tfidf.html">
+ <li class="chapter " data-level="3.5" data-path="../ft_engineering/pairing.html">
- <a href="../ft_engineering/tfidf.html">
+ <a href="../ft_engineering/pairing.html">
<b>3.5.</b>
- TF-IDF Calculation
+ FEATURE PAIRING
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="3.5.1" data-path="../ft_engineering/polynomial.html">
+
+ <a href="../ft_engineering/polynomial.html">
+
+
+ <b>3.5.1.</b>
+
+ Polynomial Features
</a>
@@ -613,6 +629,11 @@
</li>
+
+ </ul>
+
+ </li>
+
<li class="chapter " data-level="3.6" data-path="../ft_engineering/ft_trans.html">
<a href="../ft_engineering/ft_trans.html">
@@ -664,6 +685,21 @@
</li>
+ <li class="chapter " data-level="3.7" data-path="../ft_engineering/tfidf.html">
+
+ <a href="../ft_engineering/tfidf.html">
+
+
+ <b>3.7.</b>
+
+ TF-IDF Calculation
+
+ </a>
+
+
+
+ </li>
+
@@ -761,7 +797,7 @@
- <li class="header">Part V - Prediction</li>
+ <li class="header">Part V - Supervised Learning</li>
@@ -780,27 +816,19 @@
</li>
- <li class="chapter " data-level="5.2" data-path="../regression/general.html">
-
- <a href="../regression/general.html">
-
-
- <b>5.2.</b>
-
- Regression
-
- </a>
-
-
- </li>
- <li class="chapter " data-level="5.3" data-path="general.html">
+
+ <li class="header">Part VI - Binary classification</li>
+
+
+
+ <li class="chapter " data-level="6.1" data-path="general.html">
<a href="general.html">
- <b>5.3.</b>
+ <b>6.1.</b>
Binary Classification
@@ -810,21 +838,14 @@
</li>
-
-
-
- <li class="header">Part VI - Binary classification tutorials</li>
-
-
-
- <li class="chapter " data-level="6.1" data-path="a9a.html">
+ <li class="chapter " data-level="6.2" data-path="a9a.html">
<a href="a9a.html">
- <b>6.1.</b>
+ <b>6.2.</b>
- a9a
+ a9a tutorial
</a>
@@ -833,12 +854,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.1.1" data-path="a9a_dataset.html">
+ <li class="chapter " data-level="6.2.1" data-path="a9a_dataset.html">
<a href="a9a_dataset.html">
- <b>6.1.1.</b>
+ <b>6.2.1.</b>
Data preparation
@@ -848,12 +869,12 @@
</li>
- <li class="chapter " data-level="6.1.2" data-path="a9a_lr.html">
+ <li class="chapter " data-level="6.2.2" data-path="a9a_lr.html">
<a href="a9a_lr.html">
- <b>6.1.2.</b>
+ <b>6.2.2.</b>
Logistic Regression
@@ -863,12 +884,12 @@
</li>
- <li class="chapter active" data-level="6.1.3" data-path="a9a_minibatch.html">
+ <li class="chapter active" data-level="6.2.3" data-path="a9a_minibatch.html">
<a href="a9a_minibatch.html">
- <b>6.1.3.</b>
+ <b>6.2.3.</b>
Mini-batch Gradient Descent
@@ -883,14 +904,14 @@
</li>
- <li class="chapter " data-level="6.2" data-path="news20.html">
+ <li class="chapter " data-level="6.3" data-path="news20.html">
<a href="news20.html">
- <b>6.2.</b>
+ <b>6.3.</b>
- News20
+ News20 tutorial
</a>
@@ -899,12 +920,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.2.1" data-path="news20_dataset.html">
+ <li class="chapter " data-level="6.3.1" data-path="news20_dataset.html">
<a href="news20_dataset.html">
- <b>6.2.1.</b>
+ <b>6.3.1.</b>
Data preparation
@@ -914,12 +935,12 @@
</li>
- <li class="chapter " data-level="6.2.2" data-path="news20_pa.html">
+ <li class="chapter " data-level="6.3.2" data-path="news20_pa.html">
<a href="news20_pa.html">
- <b>6.2.2.</b>
+ <b>6.3.2.</b>
Perceptron, Passive Aggressive
@@ -929,12 +950,12 @@
</li>
- <li class="chapter " data-level="6.2.3" data-path="news20_scw.html">
+ <li class="chapter " data-level="6.3.3" data-path="news20_scw.html">
<a href="news20_scw.html">
- <b>6.2.3.</b>
+ <b>6.3.3.</b>
CW, AROW, SCW
@@ -944,12 +965,12 @@
</li>
- <li class="chapter " data-level="6.2.4" data-path="news20_adagrad.html">
+ <li class="chapter " data-level="6.3.4" data-path="news20_adagrad.html">
<a href="news20_adagrad.html">
- <b>6.2.4.</b>
+ <b>6.3.4.</b>
AdaGradRDA, AdaGrad, AdaDelta
@@ -964,14 +985,14 @@
</li>
- <li class="chapter " data-level="6.3" data-path="kdd2010a.html">
+ <li class="chapter " data-level="6.4" data-path="kdd2010a.html">
<a href="kdd2010a.html">
- <b>6.3.</b>
+ <b>6.4.</b>
- KDD2010a
+ KDD2010a tutorial
</a>
@@ -980,12 +1001,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.3.1" data-path="kdd2010a_dataset.html">
+ <li class="chapter " data-level="6.4.1" data-path="kdd2010a_dataset.html">
<a href="kdd2010a_dataset.html">
- <b>6.3.1.</b>
+ <b>6.4.1.</b>
Data preparation
@@ -995,12 +1016,12 @@
</li>
- <li class="chapter " data-level="6.3.2" data-path="kdd2010a_scw.html">
+ <li class="chapter " data-level="6.4.2" data-path="kdd2010a_scw.html">
<a href="kdd2010a_scw.html">
- <b>6.3.2.</b>
+ <b>6.4.2.</b>
PA, CW, AROW, SCW
@@ -1015,14 +1036,14 @@
</li>
- <li class="chapter " data-level="6.4" data-path="kdd2010b.html">
+ <li class="chapter " data-level="6.5" data-path="kdd2010b.html">
<a href="kdd2010b.html">
- <b>6.4.</b>
+ <b>6.5.</b>
- KDD2010b
+ KDD2010b tutorial
</a>
@@ -1031,12 +1052,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.4.1" data-path="kdd2010b_dataset.html">
+ <li class="chapter " data-level="6.5.1" data-path="kdd2010b_dataset.html">
<a href="kdd2010b_dataset.html">
- <b>6.4.1.</b>
+ <b>6.5.1.</b>
Data preparation
@@ -1046,12 +1067,12 @@
</li>
- <li class="chapter " data-level="6.4.2" data-path="kdd2010b_arow.html">
+ <li class="chapter " data-level="6.5.2" data-path="kdd2010b_arow.html">
<a href="kdd2010b_arow.html">
- <b>6.4.2.</b>
+ <b>6.5.2.</b>
AROW
@@ -1066,14 +1087,14 @@
</li>
- <li class="chapter " data-level="6.5" data-path="webspam.html">
+ <li class="chapter " data-level="6.6" data-path="webspam.html">
<a href="webspam.html">
- <b>6.5.</b>
+ <b>6.6.</b>
- Webspam
+ Webspam tutorial
</a>
@@ -1082,12 +1103,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.5.1" data-path="webspam_dataset.html">
+ <li class="chapter " data-level="6.6.1" data-path="webspam_dataset.html">
<a href="webspam_dataset.html">
- <b>6.5.1.</b>
+ <b>6.6.1.</b>
Data pareparation
@@ -1097,12 +1118,12 @@
</li>
- <li class="chapter " data-level="6.5.2" data-path="webspam_scw.html">
+ <li class="chapter " data-level="6.6.2" data-path="webspam_scw.html">
<a href="webspam_scw.html">
- <b>6.5.2.</b>
+ <b>6.6.2.</b>
PA1, AROW, SCW
@@ -1117,14 +1138,14 @@
</li>
- <li class="chapter " data-level="6.6" data-path="titanic_rf.html">
+ <li class="chapter " data-level="6.7" data-path="titanic_rf.html">
<a href="titanic_rf.html">
- <b>6.6.</b>
+ <b>6.7.</b>
- Kaggle Titanic
+ Kaggle Titanic tutorial
</a>
@@ -1135,7 +1156,7 @@
- <li class="header">Part VII - Multiclass classification tutorials</li>
+ <li class="header">Part VII - Multiclass classification</li>
@@ -1146,7 +1167,7 @@
<b>7.1.</b>
- News20 Multiclass
+ News20 Multiclass tutorial
</a>
@@ -1257,7 +1278,7 @@
<b>7.2.</b>
- Iris
+ Iris tutorial
</a>
@@ -1319,18 +1340,33 @@
- <li class="header">Part VIII - Regression tutorials</li>
+ <li class="header">Part VIII - Regression</li>
- <li class="chapter " data-level="8.1" data-path="../regression/e2006.html">
+ <li class="chapter " data-level="8.1" data-path="../regression/general.html">
- <a href="../regression/e2006.html">
+ <a href="../regression/general.html">
<b>8.1.</b>
- E2006-tfidf regression
+ Regression
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="8.2" data-path="../regression/e2006.html">
+
+ <a href="../regression/e2006.html">
+
+
+ <b>8.2.</b>
+
+ E2006-tfidf regression tutorial
</a>
@@ -1339,12 +1375,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.1.1" data-path="../regression/e2006_dataset.html">
+ <li class="chapter " data-level="8.2.1" data-path="../regression/e2006_dataset.html">
<a href="../regression/e2006_dataset.html">
- <b>8.1.1.</b>
+ <b>8.2.1.</b>
Data preparation
@@ -1354,12 +1390,12 @@
</li>
- <li class="chapter " data-level="8.1.2" data-path="../regression/e2006_arow.html">
+ <li class="chapter " data-level="8.2.2" data-path="../regression/e2006_arow.html">
<a href="../regression/e2006_arow.html">
- <b>8.1.2.</b>
+ <b>8.2.2.</b>
Passive Aggressive, AROW
@@ -1374,14 +1410,14 @@
</li>
- <li class="chapter " data-level="8.2" data-path="../regression/kddcup12tr2.html">
+ <li class="chapter " data-level="8.3" data-path="../regression/kddcup12tr2.html">
<a href="../regression/kddcup12tr2.html">
- <b>8.2.</b>
+ <b>8.3.</b>
- KDDCup 2012 track 2 CTR prediction
+ KDDCup 2012 track 2 CTR prediction tutorial
</a>
@@ -1390,12 +1426,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.2.1" data-path="../regression/kddcup12tr2_dataset.html">
+ <li class="chapter " data-level="8.3.1" data-path="../regression/kddcup12tr2_dataset.html">
<a href="../regression/kddcup12tr2_dataset.html">
- <b>8.2.1.</b>
+ <b>8.3.1.</b>
Data preparation
@@ -1405,12 +1441,12 @@
</li>
- <li class="chapter " data-level="8.2.2" data-path="../regression/kddcup12tr2_lr.html">
+ <li class="chapter " data-level="8.3.2" data-path="../regression/kddcup12tr2_lr.html">
<a href="../regression/kddcup12tr2_lr.html">
- <b>8.2.2.</b>
+ <b>8.3.2.</b>
Logistic Regression, Passive Aggressive
@@ -1420,12 +1456,12 @@
</li>
- <li class="chapter " data-level="8.2.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
+ <li class="chapter " data-level="8.3.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
<a href="../regression/kddcup12tr2_lr_amplify.html">
- <b>8.2.3.</b>
+ <b>8.3.3.</b>
Logistic Regression with Amplifier
@@ -1435,12 +1471,12 @@
</li>
- <li class="chapter " data-level="8.2.4" data-path="../regression/kddcup12tr2_adagrad.html">
+ <li class="chapter " data-level="8.3.4" data-path="../regression/kddcup12tr2_adagrad.html">
<a href="../regression/kddcup12tr2_adagrad.html">
- <b>8.2.4.</b>
+ <b>8.3.4.</b>
AdaGrad, AdaDelta
@@ -2167,7 +2203,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
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http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/ba518dab/userguide/binaryclass/general.html
----------------------------------------------------------------------
diff --git a/userguide/binaryclass/general.html b/userguide/binaryclass/general.html
index 60d6d51..7917c9d 100644
--- a/userguide/binaryclass/general.html
+++ b/userguide/binaryclass/general.html
@@ -100,7 +100,7 @@
<link rel="next" href="a9a.html" />
- <link rel="prev" href="../regression/general.html" />
+ <link rel="prev" href="../misc/prediction.html" />
</head>
@@ -598,14 +598,30 @@
</li>
- <li class="chapter " data-level="3.5" data-path="../ft_engineering/tfidf.html">
+ <li class="chapter " data-level="3.5" data-path="../ft_engineering/pairing.html">
- <a href="../ft_engineering/tfidf.html">
+ <a href="../ft_engineering/pairing.html">
<b>3.5.</b>
- TF-IDF Calculation
+ FEATURE PAIRING
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="3.5.1" data-path="../ft_engineering/polynomial.html">
+
+ <a href="../ft_engineering/polynomial.html">
+
+
+ <b>3.5.1.</b>
+
+ Polynomial Features
</a>
@@ -613,6 +629,11 @@
</li>
+
+ </ul>
+
+ </li>
+
<li class="chapter " data-level="3.6" data-path="../ft_engineering/ft_trans.html">
<a href="../ft_engineering/ft_trans.html">
@@ -664,6 +685,21 @@
</li>
+ <li class="chapter " data-level="3.7" data-path="../ft_engineering/tfidf.html">
+
+ <a href="../ft_engineering/tfidf.html">
+
+
+ <b>3.7.</b>
+
+ TF-IDF Calculation
+
+ </a>
+
+
+
+ </li>
+
@@ -761,7 +797,7 @@
- <li class="header">Part V - Prediction</li>
+ <li class="header">Part V - Supervised Learning</li>
@@ -780,27 +816,19 @@
</li>
- <li class="chapter " data-level="5.2" data-path="../regression/general.html">
-
- <a href="../regression/general.html">
-
-
- <b>5.2.</b>
-
- Regression
-
- </a>
-
-
- </li>
- <li class="chapter active" data-level="5.3" data-path="general.html">
+
+ <li class="header">Part VI - Binary classification</li>
+
+
+
+ <li class="chapter active" data-level="6.1" data-path="general.html">
<a href="general.html">
- <b>5.3.</b>
+ <b>6.1.</b>
Binary Classification
@@ -810,21 +838,14 @@
</li>
-
-
-
- <li class="header">Part VI - Binary classification tutorials</li>
-
-
-
- <li class="chapter " data-level="6.1" data-path="a9a.html">
+ <li class="chapter " data-level="6.2" data-path="a9a.html">
<a href="a9a.html">
- <b>6.1.</b>
+ <b>6.2.</b>
- a9a
+ a9a tutorial
</a>
@@ -833,12 +854,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.1.1" data-path="a9a_dataset.html">
+ <li class="chapter " data-level="6.2.1" data-path="a9a_dataset.html">
<a href="a9a_dataset.html">
- <b>6.1.1.</b>
+ <b>6.2.1.</b>
Data preparation
@@ -848,12 +869,12 @@
</li>
- <li class="chapter " data-level="6.1.2" data-path="a9a_lr.html">
+ <li class="chapter " data-level="6.2.2" data-path="a9a_lr.html">
<a href="a9a_lr.html">
- <b>6.1.2.</b>
+ <b>6.2.2.</b>
Logistic Regression
@@ -863,12 +884,12 @@
</li>
- <li class="chapter " data-level="6.1.3" data-path="a9a_minibatch.html">
+ <li class="chapter " data-level="6.2.3" data-path="a9a_minibatch.html">
<a href="a9a_minibatch.html">
- <b>6.1.3.</b>
+ <b>6.2.3.</b>
Mini-batch Gradient Descent
@@ -883,14 +904,14 @@
</li>
- <li class="chapter " data-level="6.2" data-path="news20.html">
+ <li class="chapter " data-level="6.3" data-path="news20.html">
<a href="news20.html">
- <b>6.2.</b>
+ <b>6.3.</b>
- News20
+ News20 tutorial
</a>
@@ -899,12 +920,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.2.1" data-path="news20_dataset.html">
+ <li class="chapter " data-level="6.3.1" data-path="news20_dataset.html">
<a href="news20_dataset.html">
- <b>6.2.1.</b>
+ <b>6.3.1.</b>
Data preparation
@@ -914,12 +935,12 @@
</li>
- <li class="chapter " data-level="6.2.2" data-path="news20_pa.html">
+ <li class="chapter " data-level="6.3.2" data-path="news20_pa.html">
<a href="news20_pa.html">
- <b>6.2.2.</b>
+ <b>6.3.2.</b>
Perceptron, Passive Aggressive
@@ -929,12 +950,12 @@
</li>
- <li class="chapter " data-level="6.2.3" data-path="news20_scw.html">
+ <li class="chapter " data-level="6.3.3" data-path="news20_scw.html">
<a href="news20_scw.html">
- <b>6.2.3.</b>
+ <b>6.3.3.</b>
CW, AROW, SCW
@@ -944,12 +965,12 @@
</li>
- <li class="chapter " data-level="6.2.4" data-path="news20_adagrad.html">
+ <li class="chapter " data-level="6.3.4" data-path="news20_adagrad.html">
<a href="news20_adagrad.html">
- <b>6.2.4.</b>
+ <b>6.3.4.</b>
AdaGradRDA, AdaGrad, AdaDelta
@@ -964,14 +985,14 @@
</li>
- <li class="chapter " data-level="6.3" data-path="kdd2010a.html">
+ <li class="chapter " data-level="6.4" data-path="kdd2010a.html">
<a href="kdd2010a.html">
- <b>6.3.</b>
+ <b>6.4.</b>
- KDD2010a
+ KDD2010a tutorial
</a>
@@ -980,12 +1001,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.3.1" data-path="kdd2010a_dataset.html">
+ <li class="chapter " data-level="6.4.1" data-path="kdd2010a_dataset.html">
<a href="kdd2010a_dataset.html">
- <b>6.3.1.</b>
+ <b>6.4.1.</b>
Data preparation
@@ -995,12 +1016,12 @@
</li>
- <li class="chapter " data-level="6.3.2" data-path="kdd2010a_scw.html">
+ <li class="chapter " data-level="6.4.2" data-path="kdd2010a_scw.html">
<a href="kdd2010a_scw.html">
- <b>6.3.2.</b>
+ <b>6.4.2.</b>
PA, CW, AROW, SCW
@@ -1015,14 +1036,14 @@
</li>
- <li class="chapter " data-level="6.4" data-path="kdd2010b.html">
+ <li class="chapter " data-level="6.5" data-path="kdd2010b.html">
<a href="kdd2010b.html">
- <b>6.4.</b>
+ <b>6.5.</b>
- KDD2010b
+ KDD2010b tutorial
</a>
@@ -1031,12 +1052,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.4.1" data-path="kdd2010b_dataset.html">
+ <li class="chapter " data-level="6.5.1" data-path="kdd2010b_dataset.html">
<a href="kdd2010b_dataset.html">
- <b>6.4.1.</b>
+ <b>6.5.1.</b>
Data preparation
@@ -1046,12 +1067,12 @@
</li>
- <li class="chapter " data-level="6.4.2" data-path="kdd2010b_arow.html">
+ <li class="chapter " data-level="6.5.2" data-path="kdd2010b_arow.html">
<a href="kdd2010b_arow.html">
- <b>6.4.2.</b>
+ <b>6.5.2.</b>
AROW
@@ -1066,14 +1087,14 @@
</li>
- <li class="chapter " data-level="6.5" data-path="webspam.html">
+ <li class="chapter " data-level="6.6" data-path="webspam.html">
<a href="webspam.html">
- <b>6.5.</b>
+ <b>6.6.</b>
- Webspam
+ Webspam tutorial
</a>
@@ -1082,12 +1103,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.5.1" data-path="webspam_dataset.html">
+ <li class="chapter " data-level="6.6.1" data-path="webspam_dataset.html">
<a href="webspam_dataset.html">
- <b>6.5.1.</b>
+ <b>6.6.1.</b>
Data pareparation
@@ -1097,12 +1118,12 @@
</li>
- <li class="chapter " data-level="6.5.2" data-path="webspam_scw.html">
+ <li class="chapter " data-level="6.6.2" data-path="webspam_scw.html">
<a href="webspam_scw.html">
- <b>6.5.2.</b>
+ <b>6.6.2.</b>
PA1, AROW, SCW
@@ -1117,14 +1138,14 @@
</li>
- <li class="chapter " data-level="6.6" data-path="titanic_rf.html">
+ <li class="chapter " data-level="6.7" data-path="titanic_rf.html">
<a href="titanic_rf.html">
- <b>6.6.</b>
+ <b>6.7.</b>
- Kaggle Titanic
+ Kaggle Titanic tutorial
</a>
@@ -1135,7 +1156,7 @@
- <li class="header">Part VII - Multiclass classification tutorials</li>
+ <li class="header">Part VII - Multiclass classification</li>
@@ -1146,7 +1167,7 @@
<b>7.1.</b>
- News20 Multiclass
+ News20 Multiclass tutorial
</a>
@@ -1257,7 +1278,7 @@
<b>7.2.</b>
- Iris
+ Iris tutorial
</a>
@@ -1319,18 +1340,33 @@
- <li class="header">Part VIII - Regression tutorials</li>
+ <li class="header">Part VIII - Regression</li>
- <li class="chapter " data-level="8.1" data-path="../regression/e2006.html">
+ <li class="chapter " data-level="8.1" data-path="../regression/general.html">
- <a href="../regression/e2006.html">
+ <a href="../regression/general.html">
<b>8.1.</b>
- E2006-tfidf regression
+ Regression
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="8.2" data-path="../regression/e2006.html">
+
+ <a href="../regression/e2006.html">
+
+
+ <b>8.2.</b>
+
+ E2006-tfidf regression tutorial
</a>
@@ -1339,12 +1375,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.1.1" data-path="../regression/e2006_dataset.html">
+ <li class="chapter " data-level="8.2.1" data-path="../regression/e2006_dataset.html">
<a href="../regression/e2006_dataset.html">
- <b>8.1.1.</b>
+ <b>8.2.1.</b>
Data preparation
@@ -1354,12 +1390,12 @@
</li>
- <li class="chapter " data-level="8.1.2" data-path="../regression/e2006_arow.html">
+ <li class="chapter " data-level="8.2.2" data-path="../regression/e2006_arow.html">
<a href="../regression/e2006_arow.html">
- <b>8.1.2.</b>
+ <b>8.2.2.</b>
Passive Aggressive, AROW
@@ -1374,14 +1410,14 @@
</li>
- <li class="chapter " data-level="8.2" data-path="../regression/kddcup12tr2.html">
+ <li class="chapter " data-level="8.3" data-path="../regression/kddcup12tr2.html">
<a href="../regression/kddcup12tr2.html">
- <b>8.2.</b>
+ <b>8.3.</b>
- KDDCup 2012 track 2 CTR prediction
+ KDDCup 2012 track 2 CTR prediction tutorial
</a>
@@ -1390,12 +1426,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.2.1" data-path="../regression/kddcup12tr2_dataset.html">
+ <li class="chapter " data-level="8.3.1" data-path="../regression/kddcup12tr2_dataset.html">
<a href="../regression/kddcup12tr2_dataset.html">
- <b>8.2.1.</b>
+ <b>8.3.1.</b>
Data preparation
@@ -1405,12 +1441,12 @@
</li>
- <li class="chapter " data-level="8.2.2" data-path="../regression/kddcup12tr2_lr.html">
+ <li class="chapter " data-level="8.3.2" data-path="../regression/kddcup12tr2_lr.html">
<a href="../regression/kddcup12tr2_lr.html">
- <b>8.2.2.</b>
+ <b>8.3.2.</b>
Logistic Regression, Passive Aggressive
@@ -1420,12 +1456,12 @@
</li>
- <li class="chapter " data-level="8.2.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
+ <li class="chapter " data-level="8.3.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
<a href="../regression/kddcup12tr2_lr_amplify.html">
- <b>8.2.3.</b>
+ <b>8.3.3.</b>
Logistic Regression with Amplifier
@@ -1435,12 +1471,12 @@
</li>
- <li class="chapter " data-level="8.2.4" data-path="../regression/kddcup12tr2_adagrad.html">
+ <li class="chapter " data-level="8.3.4" data-path="../regression/kddcup12tr2_adagrad.html">
<a href="../regression/kddcup12tr2_adagrad.html">
- <b>8.2.4.</b>
+ <b>8.3.4.</b>
AdaGrad, AdaDelta
@@ -2110,6 +2146,7 @@
) t
<span class="hljs-keyword">group</span> <span class="hljs-keyword">by</span> feature;
</code></pre>
+<div class="panel panel-primary"><div class="panel-heading"><h3 class="panel-title" id="note"><i class="fa fa-edit"></i> Note</h3></div><div class="panel-body"><p><code>-total_steps</code> option is an optional parameter and training works without it.</p></div></div>
<h1 id="prediction--evaluation">Prediction & evaluation</h1>
<pre><code class="lang-sql">WITH test_exploded as (
<span class="hljs-keyword">select</span>
@@ -2124,7 +2161,7 @@ predict <span class="hljs-keyword">as</span> (
<span class="hljs-keyword">select</span>
t.<span class="hljs-keyword">rowid</span>,
sigmoid(<span class="hljs-keyword">sum</span>(m.weight * t.<span class="hljs-keyword">value</span>)) <span class="hljs-keyword">as</span> prob,
- <span class="hljs-keyword">CAST</span>((<span class="hljs-keyword">case</span> <span class="hljs-keyword">when</span> sigmoid(<span class="hljs-keyword">sum</span>(m.weight * t.<span class="hljs-keyword">value</span>)) >= <span class="hljs-number">0.5</span> <span class="hljs-keyword">then</span> <span class="hljs-number">1.0</span> <span class="hljs-keyword">else</span> <span class="hljs-number">0.0</span> <span class="hljs-keyword">end</span>) <span class="hljs-keyword">as</span> <span class="hljs-built_in">FLOAT</span>) <span class="hljs-keyword">as</span> label
+ (<span class="hljs-keyword">case</span> <span class="hljs-keyword">when</span> sigmoid(<span class="hljs-keyword">sum</span>(m.weight * t.<span class="hljs-keyword">value</span>)) >= <span class="hljs-number">0.5</span> <span class="hljs-keyword">then</span> <span class="hljs-number">1.0</span> <span class="hljs-keyword">else</span> <span class="hljs-number">0.0</span> <span class="hljs-keyword">end</span>)<span class="hljs-keyword">as</span> label
<span class="hljs-keyword">from</span>
test_exploded t <span class="hljs-keyword">LEFT</span> <span class="hljs-keyword">OUTER</span> <span class="hljs-keyword">JOIN</span>
classification_model m <span class="hljs-keyword">ON</span> (t.feature = m.feature)
@@ -2229,7 +2266,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
<script>
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http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/ba518dab/userguide/binaryclass/kdd2010a.html
----------------------------------------------------------------------
diff --git a/userguide/binaryclass/kdd2010a.html b/userguide/binaryclass/kdd2010a.html
index 39aa385..29fd49b 100644
--- a/userguide/binaryclass/kdd2010a.html
+++ b/userguide/binaryclass/kdd2010a.html
@@ -4,7 +4,7 @@
<head>
<meta charset="UTF-8">
<meta content="text/html; charset=utf-8" http-equiv="Content-Type">
- <title>KDD2010a · Hivemall User Manual</title>
+ <title>KDD2010a tutorial · Hivemall User Manual</title>
<meta http-equiv="X-UA-Compatible" content="IE=edge" />
<meta name="description" content="">
<meta name="generator" content="GitBook 3.2.2">
@@ -598,14 +598,30 @@
</li>
- <li class="chapter " data-level="3.5" data-path="../ft_engineering/tfidf.html">
+ <li class="chapter " data-level="3.5" data-path="../ft_engineering/pairing.html">
- <a href="../ft_engineering/tfidf.html">
+ <a href="../ft_engineering/pairing.html">
<b>3.5.</b>
- TF-IDF Calculation
+ FEATURE PAIRING
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="3.5.1" data-path="../ft_engineering/polynomial.html">
+
+ <a href="../ft_engineering/polynomial.html">
+
+
+ <b>3.5.1.</b>
+
+ Polynomial Features
</a>
@@ -613,6 +629,11 @@
</li>
+
+ </ul>
+
+ </li>
+
<li class="chapter " data-level="3.6" data-path="../ft_engineering/ft_trans.html">
<a href="../ft_engineering/ft_trans.html">
@@ -664,6 +685,21 @@
</li>
+ <li class="chapter " data-level="3.7" data-path="../ft_engineering/tfidf.html">
+
+ <a href="../ft_engineering/tfidf.html">
+
+
+ <b>3.7.</b>
+
+ TF-IDF Calculation
+
+ </a>
+
+
+
+ </li>
+
@@ -761,7 +797,7 @@
- <li class="header">Part V - Prediction</li>
+ <li class="header">Part V - Supervised Learning</li>
@@ -780,27 +816,19 @@
</li>
- <li class="chapter " data-level="5.2" data-path="../regression/general.html">
-
- <a href="../regression/general.html">
-
-
- <b>5.2.</b>
-
- Regression
-
- </a>
-
-
- </li>
- <li class="chapter " data-level="5.3" data-path="general.html">
+
+ <li class="header">Part VI - Binary classification</li>
+
+
+
+ <li class="chapter " data-level="6.1" data-path="general.html">
<a href="general.html">
- <b>5.3.</b>
+ <b>6.1.</b>
Binary Classification
@@ -810,21 +838,14 @@
</li>
-
-
-
- <li class="header">Part VI - Binary classification tutorials</li>
-
-
-
- <li class="chapter " data-level="6.1" data-path="a9a.html">
+ <li class="chapter " data-level="6.2" data-path="a9a.html">
<a href="a9a.html">
- <b>6.1.</b>
+ <b>6.2.</b>
- a9a
+ a9a tutorial
</a>
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<ul class="articles">
- <li class="chapter " data-level="6.1.1" data-path="a9a_dataset.html">
+ <li class="chapter " data-level="6.2.1" data-path="a9a_dataset.html">
<a href="a9a_dataset.html">
- <b>6.1.1.</b>
+ <b>6.2.1.</b>
Data preparation
@@ -848,12 +869,12 @@
</li>
- <li class="chapter " data-level="6.1.2" data-path="a9a_lr.html">
+ <li class="chapter " data-level="6.2.2" data-path="a9a_lr.html">
<a href="a9a_lr.html">
- <b>6.1.2.</b>
+ <b>6.2.2.</b>
Logistic Regression
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</li>
- <li class="chapter " data-level="6.1.3" data-path="a9a_minibatch.html">
+ <li class="chapter " data-level="6.2.3" data-path="a9a_minibatch.html">
<a href="a9a_minibatch.html">
- <b>6.1.3.</b>
+ <b>6.2.3.</b>
Mini-batch Gradient Descent
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</li>
- <li class="chapter " data-level="6.2" data-path="news20.html">
+ <li class="chapter " data-level="6.3" data-path="news20.html">
<a href="news20.html">
- <b>6.2.</b>
+ <b>6.3.</b>
- News20
+ News20 tutorial
</a>
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<ul class="articles">
- <li class="chapter " data-level="6.2.1" data-path="news20_dataset.html">
+ <li class="chapter " data-level="6.3.1" data-path="news20_dataset.html">
<a href="news20_dataset.html">
- <b>6.2.1.</b>
+ <b>6.3.1.</b>
Data preparation
@@ -914,12 +935,12 @@
</li>
- <li class="chapter " data-level="6.2.2" data-path="news20_pa.html">
+ <li class="chapter " data-level="6.3.2" data-path="news20_pa.html">
<a href="news20_pa.html">
- <b>6.2.2.</b>
+ <b>6.3.2.</b>
Perceptron, Passive Aggressive
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</li>
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<a href="news20_scw.html">
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+ <b>6.3.3.</b>
CW, AROW, SCW
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</li>
- <li class="chapter " data-level="6.2.4" data-path="news20_adagrad.html">
+ <li class="chapter " data-level="6.3.4" data-path="news20_adagrad.html">
<a href="news20_adagrad.html">
- <b>6.2.4.</b>
+ <b>6.3.4.</b>
AdaGradRDA, AdaGrad, AdaDelta
@@ -964,14 +985,14 @@
</li>
- <li class="chapter active" data-level="6.3" data-path="kdd2010a.html">
+ <li class="chapter active" data-level="6.4" data-path="kdd2010a.html">
<a href="kdd2010a.html">
- <b>6.3.</b>
+ <b>6.4.</b>
- KDD2010a
+ KDD2010a tutorial
</a>
@@ -980,12 +1001,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.3.1" data-path="kdd2010a_dataset.html">
+ <li class="chapter " data-level="6.4.1" data-path="kdd2010a_dataset.html">
<a href="kdd2010a_dataset.html">
- <b>6.3.1.</b>
+ <b>6.4.1.</b>
Data preparation
@@ -995,12 +1016,12 @@
</li>
- <li class="chapter " data-level="6.3.2" data-path="kdd2010a_scw.html">
+ <li class="chapter " data-level="6.4.2" data-path="kdd2010a_scw.html">
<a href="kdd2010a_scw.html">
- <b>6.3.2.</b>
+ <b>6.4.2.</b>
PA, CW, AROW, SCW
@@ -1015,14 +1036,14 @@
</li>
- <li class="chapter " data-level="6.4" data-path="kdd2010b.html">
+ <li class="chapter " data-level="6.5" data-path="kdd2010b.html">
<a href="kdd2010b.html">
- <b>6.4.</b>
+ <b>6.5.</b>
- KDD2010b
+ KDD2010b tutorial
</a>
@@ -1031,12 +1052,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.4.1" data-path="kdd2010b_dataset.html">
+ <li class="chapter " data-level="6.5.1" data-path="kdd2010b_dataset.html">
<a href="kdd2010b_dataset.html">
- <b>6.4.1.</b>
+ <b>6.5.1.</b>
Data preparation
@@ -1046,12 +1067,12 @@
</li>
- <li class="chapter " data-level="6.4.2" data-path="kdd2010b_arow.html">
+ <li class="chapter " data-level="6.5.2" data-path="kdd2010b_arow.html">
<a href="kdd2010b_arow.html">
- <b>6.4.2.</b>
+ <b>6.5.2.</b>
AROW
@@ -1066,14 +1087,14 @@
</li>
- <li class="chapter " data-level="6.5" data-path="webspam.html">
+ <li class="chapter " data-level="6.6" data-path="webspam.html">
<a href="webspam.html">
- <b>6.5.</b>
+ <b>6.6.</b>
- Webspam
+ Webspam tutorial
</a>
@@ -1082,12 +1103,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.5.1" data-path="webspam_dataset.html">
+ <li class="chapter " data-level="6.6.1" data-path="webspam_dataset.html">
<a href="webspam_dataset.html">
- <b>6.5.1.</b>
+ <b>6.6.1.</b>
Data pareparation
@@ -1097,12 +1118,12 @@
</li>
- <li class="chapter " data-level="6.5.2" data-path="webspam_scw.html">
+ <li class="chapter " data-level="6.6.2" data-path="webspam_scw.html">
<a href="webspam_scw.html">
- <b>6.5.2.</b>
+ <b>6.6.2.</b>
PA1, AROW, SCW
@@ -1117,14 +1138,14 @@
</li>
- <li class="chapter " data-level="6.6" data-path="titanic_rf.html">
+ <li class="chapter " data-level="6.7" data-path="titanic_rf.html">
<a href="titanic_rf.html">
- <b>6.6.</b>
+ <b>6.7.</b>
- Kaggle Titanic
+ Kaggle Titanic tutorial
</a>
@@ -1135,7 +1156,7 @@
- <li class="header">Part VII - Multiclass classification tutorials</li>
+ <li class="header">Part VII - Multiclass classification</li>
@@ -1146,7 +1167,7 @@
<b>7.1.</b>
- News20 Multiclass
+ News20 Multiclass tutorial
</a>
@@ -1257,7 +1278,7 @@
<b>7.2.</b>
- Iris
+ Iris tutorial
</a>
@@ -1319,18 +1340,33 @@
- <li class="header">Part VIII - Regression tutorials</li>
+ <li class="header">Part VIII - Regression</li>
- <li class="chapter " data-level="8.1" data-path="../regression/e2006.html">
+ <li class="chapter " data-level="8.1" data-path="../regression/general.html">
- <a href="../regression/e2006.html">
+ <a href="../regression/general.html">
<b>8.1.</b>
- E2006-tfidf regression
+ Regression
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="8.2" data-path="../regression/e2006.html">
+
+ <a href="../regression/e2006.html">
+
+
+ <b>8.2.</b>
+
+ E2006-tfidf regression tutorial
</a>
@@ -1339,12 +1375,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.1.1" data-path="../regression/e2006_dataset.html">
+ <li class="chapter " data-level="8.2.1" data-path="../regression/e2006_dataset.html">
<a href="../regression/e2006_dataset.html">
- <b>8.1.1.</b>
+ <b>8.2.1.</b>
Data preparation
@@ -1354,12 +1390,12 @@
</li>
- <li class="chapter " data-level="8.1.2" data-path="../regression/e2006_arow.html">
+ <li class="chapter " data-level="8.2.2" data-path="../regression/e2006_arow.html">
<a href="../regression/e2006_arow.html">
- <b>8.1.2.</b>
+ <b>8.2.2.</b>
Passive Aggressive, AROW
@@ -1374,14 +1410,14 @@
</li>
- <li class="chapter " data-level="8.2" data-path="../regression/kddcup12tr2.html">
+ <li class="chapter " data-level="8.3" data-path="../regression/kddcup12tr2.html">
<a href="../regression/kddcup12tr2.html">
- <b>8.2.</b>
+ <b>8.3.</b>
- KDDCup 2012 track 2 CTR prediction
+ KDDCup 2012 track 2 CTR prediction tutorial
</a>
@@ -1390,12 +1426,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.2.1" data-path="../regression/kddcup12tr2_dataset.html">
+ <li class="chapter " data-level="8.3.1" data-path="../regression/kddcup12tr2_dataset.html">
<a href="../regression/kddcup12tr2_dataset.html">
- <b>8.2.1.</b>
+ <b>8.3.1.</b>
Data preparation
@@ -1405,12 +1441,12 @@
</li>
- <li class="chapter " data-level="8.2.2" data-path="../regression/kddcup12tr2_lr.html">
+ <li class="chapter " data-level="8.3.2" data-path="../regression/kddcup12tr2_lr.html">
<a href="../regression/kddcup12tr2_lr.html">
- <b>8.2.2.</b>
+ <b>8.3.2.</b>
Logistic Regression, Passive Aggressive
@@ -1420,12 +1456,12 @@
</li>
- <li class="chapter " data-level="8.2.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
+ <li class="chapter " data-level="8.3.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
<a href="../regression/kddcup12tr2_lr_amplify.html">
- <b>8.2.3.</b>
+ <b>8.3.3.</b>
Logistic Regression with Amplifier
@@ -1435,12 +1471,12 @@
</li>
- <li class="chapter " data-level="8.2.4" data-path="../regression/kddcup12tr2_adagrad.html">
+ <li class="chapter " data-level="8.3.4" data-path="../regression/kddcup12tr2_adagrad.html">
<a href="../regression/kddcup12tr2_adagrad.html">
- <b>8.2.4.</b>
+ <b>8.3.4.</b>
AdaGrad, AdaDelta
@@ -2041,7 +2077,7 @@
<!-- Title -->
<h1>
<i class="fa fa-circle-o-notch fa-spin"></i>
- <a href=".." >KDD2010a</a>
+ <a href=".." >KDD2010a tutorial</a>
</h1>
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@@ -2129,7 +2165,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
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[38/41] incubator-hivemall-site git commit: Added descriptions about
Feature Pairing in the user guide
Posted by my...@apache.org.
http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/ba518dab/userguide/binaryclass/kdd2010a_dataset.html
----------------------------------------------------------------------
diff --git a/userguide/binaryclass/kdd2010a_dataset.html b/userguide/binaryclass/kdd2010a_dataset.html
index c41265c..a84a9d1 100644
--- a/userguide/binaryclass/kdd2010a_dataset.html
+++ b/userguide/binaryclass/kdd2010a_dataset.html
@@ -598,14 +598,30 @@
</li>
- <li class="chapter " data-level="3.5" data-path="../ft_engineering/tfidf.html">
+ <li class="chapter " data-level="3.5" data-path="../ft_engineering/pairing.html">
- <a href="../ft_engineering/tfidf.html">
+ <a href="../ft_engineering/pairing.html">
<b>3.5.</b>
- TF-IDF Calculation
+ FEATURE PAIRING
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="3.5.1" data-path="../ft_engineering/polynomial.html">
+
+ <a href="../ft_engineering/polynomial.html">
+
+
+ <b>3.5.1.</b>
+
+ Polynomial Features
</a>
@@ -613,6 +629,11 @@
</li>
+
+ </ul>
+
+ </li>
+
<li class="chapter " data-level="3.6" data-path="../ft_engineering/ft_trans.html">
<a href="../ft_engineering/ft_trans.html">
@@ -664,6 +685,21 @@
</li>
+ <li class="chapter " data-level="3.7" data-path="../ft_engineering/tfidf.html">
+
+ <a href="../ft_engineering/tfidf.html">
+
+
+ <b>3.7.</b>
+
+ TF-IDF Calculation
+
+ </a>
+
+
+
+ </li>
+
@@ -761,7 +797,7 @@
- <li class="header">Part V - Prediction</li>
+ <li class="header">Part V - Supervised Learning</li>
@@ -780,27 +816,19 @@
</li>
- <li class="chapter " data-level="5.2" data-path="../regression/general.html">
-
- <a href="../regression/general.html">
-
-
- <b>5.2.</b>
-
- Regression
-
- </a>
-
-
- </li>
- <li class="chapter " data-level="5.3" data-path="general.html">
+
+ <li class="header">Part VI - Binary classification</li>
+
+
+
+ <li class="chapter " data-level="6.1" data-path="general.html">
<a href="general.html">
- <b>5.3.</b>
+ <b>6.1.</b>
Binary Classification
@@ -810,21 +838,14 @@
</li>
-
-
-
- <li class="header">Part VI - Binary classification tutorials</li>
-
-
-
- <li class="chapter " data-level="6.1" data-path="a9a.html">
+ <li class="chapter " data-level="6.2" data-path="a9a.html">
<a href="a9a.html">
- <b>6.1.</b>
+ <b>6.2.</b>
- a9a
+ a9a tutorial
</a>
@@ -833,12 +854,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.1.1" data-path="a9a_dataset.html">
+ <li class="chapter " data-level="6.2.1" data-path="a9a_dataset.html">
<a href="a9a_dataset.html">
- <b>6.1.1.</b>
+ <b>6.2.1.</b>
Data preparation
@@ -848,12 +869,12 @@
</li>
- <li class="chapter " data-level="6.1.2" data-path="a9a_lr.html">
+ <li class="chapter " data-level="6.2.2" data-path="a9a_lr.html">
<a href="a9a_lr.html">
- <b>6.1.2.</b>
+ <b>6.2.2.</b>
Logistic Regression
@@ -863,12 +884,12 @@
</li>
- <li class="chapter " data-level="6.1.3" data-path="a9a_minibatch.html">
+ <li class="chapter " data-level="6.2.3" data-path="a9a_minibatch.html">
<a href="a9a_minibatch.html">
- <b>6.1.3.</b>
+ <b>6.2.3.</b>
Mini-batch Gradient Descent
@@ -883,14 +904,14 @@
</li>
- <li class="chapter " data-level="6.2" data-path="news20.html">
+ <li class="chapter " data-level="6.3" data-path="news20.html">
<a href="news20.html">
- <b>6.2.</b>
+ <b>6.3.</b>
- News20
+ News20 tutorial
</a>
@@ -899,12 +920,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.2.1" data-path="news20_dataset.html">
+ <li class="chapter " data-level="6.3.1" data-path="news20_dataset.html">
<a href="news20_dataset.html">
- <b>6.2.1.</b>
+ <b>6.3.1.</b>
Data preparation
@@ -914,12 +935,12 @@
</li>
- <li class="chapter " data-level="6.2.2" data-path="news20_pa.html">
+ <li class="chapter " data-level="6.3.2" data-path="news20_pa.html">
<a href="news20_pa.html">
- <b>6.2.2.</b>
+ <b>6.3.2.</b>
Perceptron, Passive Aggressive
@@ -929,12 +950,12 @@
</li>
- <li class="chapter " data-level="6.2.3" data-path="news20_scw.html">
+ <li class="chapter " data-level="6.3.3" data-path="news20_scw.html">
<a href="news20_scw.html">
- <b>6.2.3.</b>
+ <b>6.3.3.</b>
CW, AROW, SCW
@@ -944,12 +965,12 @@
</li>
- <li class="chapter " data-level="6.2.4" data-path="news20_adagrad.html">
+ <li class="chapter " data-level="6.3.4" data-path="news20_adagrad.html">
<a href="news20_adagrad.html">
- <b>6.2.4.</b>
+ <b>6.3.4.</b>
AdaGradRDA, AdaGrad, AdaDelta
@@ -964,14 +985,14 @@
</li>
- <li class="chapter " data-level="6.3" data-path="kdd2010a.html">
+ <li class="chapter " data-level="6.4" data-path="kdd2010a.html">
<a href="kdd2010a.html">
- <b>6.3.</b>
+ <b>6.4.</b>
- KDD2010a
+ KDD2010a tutorial
</a>
@@ -980,12 +1001,12 @@
<ul class="articles">
- <li class="chapter active" data-level="6.3.1" data-path="kdd2010a_dataset.html">
+ <li class="chapter active" data-level="6.4.1" data-path="kdd2010a_dataset.html">
<a href="kdd2010a_dataset.html">
- <b>6.3.1.</b>
+ <b>6.4.1.</b>
Data preparation
@@ -995,12 +1016,12 @@
</li>
- <li class="chapter " data-level="6.3.2" data-path="kdd2010a_scw.html">
+ <li class="chapter " data-level="6.4.2" data-path="kdd2010a_scw.html">
<a href="kdd2010a_scw.html">
- <b>6.3.2.</b>
+ <b>6.4.2.</b>
PA, CW, AROW, SCW
@@ -1015,14 +1036,14 @@
</li>
- <li class="chapter " data-level="6.4" data-path="kdd2010b.html">
+ <li class="chapter " data-level="6.5" data-path="kdd2010b.html">
<a href="kdd2010b.html">
- <b>6.4.</b>
+ <b>6.5.</b>
- KDD2010b
+ KDD2010b tutorial
</a>
@@ -1031,12 +1052,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.4.1" data-path="kdd2010b_dataset.html">
+ <li class="chapter " data-level="6.5.1" data-path="kdd2010b_dataset.html">
<a href="kdd2010b_dataset.html">
- <b>6.4.1.</b>
+ <b>6.5.1.</b>
Data preparation
@@ -1046,12 +1067,12 @@
</li>
- <li class="chapter " data-level="6.4.2" data-path="kdd2010b_arow.html">
+ <li class="chapter " data-level="6.5.2" data-path="kdd2010b_arow.html">
<a href="kdd2010b_arow.html">
- <b>6.4.2.</b>
+ <b>6.5.2.</b>
AROW
@@ -1066,14 +1087,14 @@
</li>
- <li class="chapter " data-level="6.5" data-path="webspam.html">
+ <li class="chapter " data-level="6.6" data-path="webspam.html">
<a href="webspam.html">
- <b>6.5.</b>
+ <b>6.6.</b>
- Webspam
+ Webspam tutorial
</a>
@@ -1082,12 +1103,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.5.1" data-path="webspam_dataset.html">
+ <li class="chapter " data-level="6.6.1" data-path="webspam_dataset.html">
<a href="webspam_dataset.html">
- <b>6.5.1.</b>
+ <b>6.6.1.</b>
Data pareparation
@@ -1097,12 +1118,12 @@
</li>
- <li class="chapter " data-level="6.5.2" data-path="webspam_scw.html">
+ <li class="chapter " data-level="6.6.2" data-path="webspam_scw.html">
<a href="webspam_scw.html">
- <b>6.5.2.</b>
+ <b>6.6.2.</b>
PA1, AROW, SCW
@@ -1117,14 +1138,14 @@
</li>
- <li class="chapter " data-level="6.6" data-path="titanic_rf.html">
+ <li class="chapter " data-level="6.7" data-path="titanic_rf.html">
<a href="titanic_rf.html">
- <b>6.6.</b>
+ <b>6.7.</b>
- Kaggle Titanic
+ Kaggle Titanic tutorial
</a>
@@ -1135,7 +1156,7 @@
- <li class="header">Part VII - Multiclass classification tutorials</li>
+ <li class="header">Part VII - Multiclass classification</li>
@@ -1146,7 +1167,7 @@
<b>7.1.</b>
- News20 Multiclass
+ News20 Multiclass tutorial
</a>
@@ -1257,7 +1278,7 @@
<b>7.2.</b>
- Iris
+ Iris tutorial
</a>
@@ -1319,18 +1340,33 @@
- <li class="header">Part VIII - Regression tutorials</li>
+ <li class="header">Part VIII - Regression</li>
- <li class="chapter " data-level="8.1" data-path="../regression/e2006.html">
+ <li class="chapter " data-level="8.1" data-path="../regression/general.html">
- <a href="../regression/e2006.html">
+ <a href="../regression/general.html">
<b>8.1.</b>
- E2006-tfidf regression
+ Regression
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="8.2" data-path="../regression/e2006.html">
+
+ <a href="../regression/e2006.html">
+
+
+ <b>8.2.</b>
+
+ E2006-tfidf regression tutorial
</a>
@@ -1339,12 +1375,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.1.1" data-path="../regression/e2006_dataset.html">
+ <li class="chapter " data-level="8.2.1" data-path="../regression/e2006_dataset.html">
<a href="../regression/e2006_dataset.html">
- <b>8.1.1.</b>
+ <b>8.2.1.</b>
Data preparation
@@ -1354,12 +1390,12 @@
</li>
- <li class="chapter " data-level="8.1.2" data-path="../regression/e2006_arow.html">
+ <li class="chapter " data-level="8.2.2" data-path="../regression/e2006_arow.html">
<a href="../regression/e2006_arow.html">
- <b>8.1.2.</b>
+ <b>8.2.2.</b>
Passive Aggressive, AROW
@@ -1374,14 +1410,14 @@
</li>
- <li class="chapter " data-level="8.2" data-path="../regression/kddcup12tr2.html">
+ <li class="chapter " data-level="8.3" data-path="../regression/kddcup12tr2.html">
<a href="../regression/kddcup12tr2.html">
- <b>8.2.</b>
+ <b>8.3.</b>
- KDDCup 2012 track 2 CTR prediction
+ KDDCup 2012 track 2 CTR prediction tutorial
</a>
@@ -1390,12 +1426,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.2.1" data-path="../regression/kddcup12tr2_dataset.html">
+ <li class="chapter " data-level="8.3.1" data-path="../regression/kddcup12tr2_dataset.html">
<a href="../regression/kddcup12tr2_dataset.html">
- <b>8.2.1.</b>
+ <b>8.3.1.</b>
Data preparation
@@ -1405,12 +1441,12 @@
</li>
- <li class="chapter " data-level="8.2.2" data-path="../regression/kddcup12tr2_lr.html">
+ <li class="chapter " data-level="8.3.2" data-path="../regression/kddcup12tr2_lr.html">
<a href="../regression/kddcup12tr2_lr.html">
- <b>8.2.2.</b>
+ <b>8.3.2.</b>
Logistic Regression, Passive Aggressive
@@ -1420,12 +1456,12 @@
</li>
- <li class="chapter " data-level="8.2.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
+ <li class="chapter " data-level="8.3.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
<a href="../regression/kddcup12tr2_lr_amplify.html">
- <b>8.2.3.</b>
+ <b>8.3.3.</b>
Logistic Regression with Amplifier
@@ -1435,12 +1471,12 @@
</li>
- <li class="chapter " data-level="8.2.4" data-path="../regression/kddcup12tr2_adagrad.html">
+ <li class="chapter " data-level="8.3.4" data-path="../regression/kddcup12tr2_adagrad.html">
<a href="../regression/kddcup12tr2_adagrad.html">
- <b>8.2.4.</b>
+ <b>8.3.4.</b>
AdaGrad, AdaDelta
@@ -2196,7 +2232,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
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----------------------------------------------------------------------
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index 535b5f3..23688f2 100644
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</li>
- <li class="chapter " data-level="3.5" data-path="../ft_engineering/tfidf.html">
+ <li class="chapter " data-level="3.5" data-path="../ft_engineering/pairing.html">
- <a href="../ft_engineering/tfidf.html">
+ <a href="../ft_engineering/pairing.html">
<b>3.5.</b>
- TF-IDF Calculation
+ FEATURE PAIRING
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="3.5.1" data-path="../ft_engineering/polynomial.html">
+
+ <a href="../ft_engineering/polynomial.html">
+
+
+ <b>3.5.1.</b>
+
+ Polynomial Features
</a>
@@ -613,6 +629,11 @@
</li>
+
+ </ul>
+
+ </li>
+
<li class="chapter " data-level="3.6" data-path="../ft_engineering/ft_trans.html">
<a href="../ft_engineering/ft_trans.html">
@@ -664,6 +685,21 @@
</li>
+ <li class="chapter " data-level="3.7" data-path="../ft_engineering/tfidf.html">
+
+ <a href="../ft_engineering/tfidf.html">
+
+
+ <b>3.7.</b>
+
+ TF-IDF Calculation
+
+ </a>
+
+
+
+ </li>
+
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- <li class="header">Part V - Prediction</li>
+ <li class="header">Part V - Supervised Learning</li>
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</li>
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-
- <a href="../regression/general.html">
-
-
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-
- Regression
-
- </a>
-
-
- </li>
- <li class="chapter " data-level="5.3" data-path="general.html">
+
+ <li class="header">Part VI - Binary classification</li>
+
+
+
+ <li class="chapter " data-level="6.1" data-path="general.html">
<a href="general.html">
- <b>5.3.</b>
+ <b>6.1.</b>
Binary Classification
@@ -810,21 +838,14 @@
</li>
-
-
-
- <li class="header">Part VI - Binary classification tutorials</li>
-
-
-
- <li class="chapter " data-level="6.1" data-path="a9a.html">
+ <li class="chapter " data-level="6.2" data-path="a9a.html">
<a href="a9a.html">
- <b>6.1.</b>
+ <b>6.2.</b>
- a9a
+ a9a tutorial
</a>
@@ -833,12 +854,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.1.1" data-path="a9a_dataset.html">
+ <li class="chapter " data-level="6.2.1" data-path="a9a_dataset.html">
<a href="a9a_dataset.html">
- <b>6.1.1.</b>
+ <b>6.2.1.</b>
Data preparation
@@ -848,12 +869,12 @@
</li>
- <li class="chapter " data-level="6.1.2" data-path="a9a_lr.html">
+ <li class="chapter " data-level="6.2.2" data-path="a9a_lr.html">
<a href="a9a_lr.html">
- <b>6.1.2.</b>
+ <b>6.2.2.</b>
Logistic Regression
@@ -863,12 +884,12 @@
</li>
- <li class="chapter " data-level="6.1.3" data-path="a9a_minibatch.html">
+ <li class="chapter " data-level="6.2.3" data-path="a9a_minibatch.html">
<a href="a9a_minibatch.html">
- <b>6.1.3.</b>
+ <b>6.2.3.</b>
Mini-batch Gradient Descent
@@ -883,14 +904,14 @@
</li>
- <li class="chapter " data-level="6.2" data-path="news20.html">
+ <li class="chapter " data-level="6.3" data-path="news20.html">
<a href="news20.html">
- <b>6.2.</b>
+ <b>6.3.</b>
- News20
+ News20 tutorial
</a>
@@ -899,12 +920,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.2.1" data-path="news20_dataset.html">
+ <li class="chapter " data-level="6.3.1" data-path="news20_dataset.html">
<a href="news20_dataset.html">
- <b>6.2.1.</b>
+ <b>6.3.1.</b>
Data preparation
@@ -914,12 +935,12 @@
</li>
- <li class="chapter " data-level="6.2.2" data-path="news20_pa.html">
+ <li class="chapter " data-level="6.3.2" data-path="news20_pa.html">
<a href="news20_pa.html">
- <b>6.2.2.</b>
+ <b>6.3.2.</b>
Perceptron, Passive Aggressive
@@ -929,12 +950,12 @@
</li>
- <li class="chapter " data-level="6.2.3" data-path="news20_scw.html">
+ <li class="chapter " data-level="6.3.3" data-path="news20_scw.html">
<a href="news20_scw.html">
- <b>6.2.3.</b>
+ <b>6.3.3.</b>
CW, AROW, SCW
@@ -944,12 +965,12 @@
</li>
- <li class="chapter " data-level="6.2.4" data-path="news20_adagrad.html">
+ <li class="chapter " data-level="6.3.4" data-path="news20_adagrad.html">
<a href="news20_adagrad.html">
- <b>6.2.4.</b>
+ <b>6.3.4.</b>
AdaGradRDA, AdaGrad, AdaDelta
@@ -964,14 +985,14 @@
</li>
- <li class="chapter " data-level="6.3" data-path="kdd2010a.html">
+ <li class="chapter " data-level="6.4" data-path="kdd2010a.html">
<a href="kdd2010a.html">
- <b>6.3.</b>
+ <b>6.4.</b>
- KDD2010a
+ KDD2010a tutorial
</a>
@@ -980,12 +1001,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.3.1" data-path="kdd2010a_dataset.html">
+ <li class="chapter " data-level="6.4.1" data-path="kdd2010a_dataset.html">
<a href="kdd2010a_dataset.html">
- <b>6.3.1.</b>
+ <b>6.4.1.</b>
Data preparation
@@ -995,12 +1016,12 @@
</li>
- <li class="chapter active" data-level="6.3.2" data-path="kdd2010a_scw.html">
+ <li class="chapter active" data-level="6.4.2" data-path="kdd2010a_scw.html">
<a href="kdd2010a_scw.html">
- <b>6.3.2.</b>
+ <b>6.4.2.</b>
PA, CW, AROW, SCW
@@ -1015,14 +1036,14 @@
</li>
- <li class="chapter " data-level="6.4" data-path="kdd2010b.html">
+ <li class="chapter " data-level="6.5" data-path="kdd2010b.html">
<a href="kdd2010b.html">
- <b>6.4.</b>
+ <b>6.5.</b>
- KDD2010b
+ KDD2010b tutorial
</a>
@@ -1031,12 +1052,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.4.1" data-path="kdd2010b_dataset.html">
+ <li class="chapter " data-level="6.5.1" data-path="kdd2010b_dataset.html">
<a href="kdd2010b_dataset.html">
- <b>6.4.1.</b>
+ <b>6.5.1.</b>
Data preparation
@@ -1046,12 +1067,12 @@
</li>
- <li class="chapter " data-level="6.4.2" data-path="kdd2010b_arow.html">
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<a href="kdd2010b_arow.html">
- <b>6.4.2.</b>
+ <b>6.5.2.</b>
AROW
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</li>
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<a href="webspam.html">
- <b>6.5.</b>
+ <b>6.6.</b>
- Webspam
+ Webspam tutorial
</a>
@@ -1082,12 +1103,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.5.1" data-path="webspam_dataset.html">
+ <li class="chapter " data-level="6.6.1" data-path="webspam_dataset.html">
<a href="webspam_dataset.html">
- <b>6.5.1.</b>
+ <b>6.6.1.</b>
Data pareparation
@@ -1097,12 +1118,12 @@
</li>
- <li class="chapter " data-level="6.5.2" data-path="webspam_scw.html">
+ <li class="chapter " data-level="6.6.2" data-path="webspam_scw.html">
<a href="webspam_scw.html">
- <b>6.5.2.</b>
+ <b>6.6.2.</b>
PA1, AROW, SCW
@@ -1117,14 +1138,14 @@
</li>
- <li class="chapter " data-level="6.6" data-path="titanic_rf.html">
+ <li class="chapter " data-level="6.7" data-path="titanic_rf.html">
<a href="titanic_rf.html">
- <b>6.6.</b>
+ <b>6.7.</b>
- Kaggle Titanic
+ Kaggle Titanic tutorial
</a>
@@ -1135,7 +1156,7 @@
- <li class="header">Part VII - Multiclass classification tutorials</li>
+ <li class="header">Part VII - Multiclass classification</li>
@@ -1146,7 +1167,7 @@
<b>7.1.</b>
- News20 Multiclass
+ News20 Multiclass tutorial
</a>
@@ -1257,7 +1278,7 @@
<b>7.2.</b>
- Iris
+ Iris tutorial
</a>
@@ -1319,18 +1340,33 @@
- <li class="header">Part VIII - Regression tutorials</li>
+ <li class="header">Part VIII - Regression</li>
- <li class="chapter " data-level="8.1" data-path="../regression/e2006.html">
+ <li class="chapter " data-level="8.1" data-path="../regression/general.html">
- <a href="../regression/e2006.html">
+ <a href="../regression/general.html">
<b>8.1.</b>
- E2006-tfidf regression
+ Regression
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="8.2" data-path="../regression/e2006.html">
+
+ <a href="../regression/e2006.html">
+
+
+ <b>8.2.</b>
+
+ E2006-tfidf regression tutorial
</a>
@@ -1339,12 +1375,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.1.1" data-path="../regression/e2006_dataset.html">
+ <li class="chapter " data-level="8.2.1" data-path="../regression/e2006_dataset.html">
<a href="../regression/e2006_dataset.html">
- <b>8.1.1.</b>
+ <b>8.2.1.</b>
Data preparation
@@ -1354,12 +1390,12 @@
</li>
- <li class="chapter " data-level="8.1.2" data-path="../regression/e2006_arow.html">
+ <li class="chapter " data-level="8.2.2" data-path="../regression/e2006_arow.html">
<a href="../regression/e2006_arow.html">
- <b>8.1.2.</b>
+ <b>8.2.2.</b>
Passive Aggressive, AROW
@@ -1374,14 +1410,14 @@
</li>
- <li class="chapter " data-level="8.2" data-path="../regression/kddcup12tr2.html">
+ <li class="chapter " data-level="8.3" data-path="../regression/kddcup12tr2.html">
<a href="../regression/kddcup12tr2.html">
- <b>8.2.</b>
+ <b>8.3.</b>
- KDDCup 2012 track 2 CTR prediction
+ KDDCup 2012 track 2 CTR prediction tutorial
</a>
@@ -1390,12 +1426,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.2.1" data-path="../regression/kddcup12tr2_dataset.html">
+ <li class="chapter " data-level="8.3.1" data-path="../regression/kddcup12tr2_dataset.html">
<a href="../regression/kddcup12tr2_dataset.html">
- <b>8.2.1.</b>
+ <b>8.3.1.</b>
Data preparation
@@ -1405,12 +1441,12 @@
</li>
- <li class="chapter " data-level="8.2.2" data-path="../regression/kddcup12tr2_lr.html">
+ <li class="chapter " data-level="8.3.2" data-path="../regression/kddcup12tr2_lr.html">
<a href="../regression/kddcup12tr2_lr.html">
- <b>8.2.2.</b>
+ <b>8.3.2.</b>
Logistic Regression, Passive Aggressive
@@ -1420,12 +1456,12 @@
</li>
- <li class="chapter " data-level="8.2.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
+ <li class="chapter " data-level="8.3.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
<a href="../regression/kddcup12tr2_lr_amplify.html">
- <b>8.2.3.</b>
+ <b>8.3.3.</b>
Logistic Regression with Amplifier
@@ -1435,12 +1471,12 @@
</li>
- <li class="chapter " data-level="8.2.4" data-path="../regression/kddcup12tr2_adagrad.html">
+ <li class="chapter " data-level="8.3.4" data-path="../regression/kddcup12tr2_adagrad.html">
<a href="../regression/kddcup12tr2_adagrad.html">
- <b>8.2.4.</b>
+ <b>8.3.4.</b>
AdaGrad, AdaDelta
@@ -2329,7 +2365,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
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----------------------------------------------------------------------
diff --git a/userguide/binaryclass/kdd2010b.html b/userguide/binaryclass/kdd2010b.html
index d1f877b..fbb665b 100644
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@@ -4,7 +4,7 @@
<head>
<meta charset="UTF-8">
<meta content="text/html; charset=utf-8" http-equiv="Content-Type">
- <title>KDD2010b · Hivemall User Manual</title>
+ <title>KDD2010b tutorial · Hivemall User Manual</title>
<meta http-equiv="X-UA-Compatible" content="IE=edge" />
<meta name="description" content="">
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</li>
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- <a href="../ft_engineering/tfidf.html">
+ <a href="../ft_engineering/pairing.html">
<b>3.5.</b>
- TF-IDF Calculation
+ FEATURE PAIRING
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="3.5.1" data-path="../ft_engineering/polynomial.html">
+
+ <a href="../ft_engineering/polynomial.html">
+
+
+ <b>3.5.1.</b>
+
+ Polynomial Features
</a>
@@ -613,6 +629,11 @@
</li>
+
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+
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+
<li class="chapter " data-level="3.6" data-path="../ft_engineering/ft_trans.html">
<a href="../ft_engineering/ft_trans.html">
@@ -664,6 +685,21 @@
</li>
+ <li class="chapter " data-level="3.7" data-path="../ft_engineering/tfidf.html">
+
+ <a href="../ft_engineering/tfidf.html">
+
+
+ <b>3.7.</b>
+
+ TF-IDF Calculation
+
+ </a>
+
+
+
+ </li>
+
@@ -761,7 +797,7 @@
- <li class="header">Part V - Prediction</li>
+ <li class="header">Part V - Supervised Learning</li>
@@ -780,27 +816,19 @@
</li>
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-
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-
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-
- Regression
-
- </a>
-
-
- </li>
- <li class="chapter " data-level="5.3" data-path="general.html">
+
+ <li class="header">Part VI - Binary classification</li>
+
+
+
+ <li class="chapter " data-level="6.1" data-path="general.html">
<a href="general.html">
- <b>5.3.</b>
+ <b>6.1.</b>
Binary Classification
@@ -810,21 +838,14 @@
</li>
-
-
-
- <li class="header">Part VI - Binary classification tutorials</li>
-
-
-
- <li class="chapter " data-level="6.1" data-path="a9a.html">
+ <li class="chapter " data-level="6.2" data-path="a9a.html">
<a href="a9a.html">
- <b>6.1.</b>
+ <b>6.2.</b>
- a9a
+ a9a tutorial
</a>
@@ -833,12 +854,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.1.1" data-path="a9a_dataset.html">
+ <li class="chapter " data-level="6.2.1" data-path="a9a_dataset.html">
<a href="a9a_dataset.html">
- <b>6.1.1.</b>
+ <b>6.2.1.</b>
Data preparation
@@ -848,12 +869,12 @@
</li>
- <li class="chapter " data-level="6.1.2" data-path="a9a_lr.html">
+ <li class="chapter " data-level="6.2.2" data-path="a9a_lr.html">
<a href="a9a_lr.html">
- <b>6.1.2.</b>
+ <b>6.2.2.</b>
Logistic Regression
@@ -863,12 +884,12 @@
</li>
- <li class="chapter " data-level="6.1.3" data-path="a9a_minibatch.html">
+ <li class="chapter " data-level="6.2.3" data-path="a9a_minibatch.html">
<a href="a9a_minibatch.html">
- <b>6.1.3.</b>
+ <b>6.2.3.</b>
Mini-batch Gradient Descent
@@ -883,14 +904,14 @@
</li>
- <li class="chapter " data-level="6.2" data-path="news20.html">
+ <li class="chapter " data-level="6.3" data-path="news20.html">
<a href="news20.html">
- <b>6.2.</b>
+ <b>6.3.</b>
- News20
+ News20 tutorial
</a>
@@ -899,12 +920,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.2.1" data-path="news20_dataset.html">
+ <li class="chapter " data-level="6.3.1" data-path="news20_dataset.html">
<a href="news20_dataset.html">
- <b>6.2.1.</b>
+ <b>6.3.1.</b>
Data preparation
@@ -914,12 +935,12 @@
</li>
- <li class="chapter " data-level="6.2.2" data-path="news20_pa.html">
+ <li class="chapter " data-level="6.3.2" data-path="news20_pa.html">
<a href="news20_pa.html">
- <b>6.2.2.</b>
+ <b>6.3.2.</b>
Perceptron, Passive Aggressive
@@ -929,12 +950,12 @@
</li>
- <li class="chapter " data-level="6.2.3" data-path="news20_scw.html">
+ <li class="chapter " data-level="6.3.3" data-path="news20_scw.html">
<a href="news20_scw.html">
- <b>6.2.3.</b>
+ <b>6.3.3.</b>
CW, AROW, SCW
@@ -944,12 +965,12 @@
</li>
- <li class="chapter " data-level="6.2.4" data-path="news20_adagrad.html">
+ <li class="chapter " data-level="6.3.4" data-path="news20_adagrad.html">
<a href="news20_adagrad.html">
- <b>6.2.4.</b>
+ <b>6.3.4.</b>
AdaGradRDA, AdaGrad, AdaDelta
@@ -964,14 +985,14 @@
</li>
- <li class="chapter " data-level="6.3" data-path="kdd2010a.html">
+ <li class="chapter " data-level="6.4" data-path="kdd2010a.html">
<a href="kdd2010a.html">
- <b>6.3.</b>
+ <b>6.4.</b>
- KDD2010a
+ KDD2010a tutorial
</a>
@@ -980,12 +1001,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.3.1" data-path="kdd2010a_dataset.html">
+ <li class="chapter " data-level="6.4.1" data-path="kdd2010a_dataset.html">
<a href="kdd2010a_dataset.html">
- <b>6.3.1.</b>
+ <b>6.4.1.</b>
Data preparation
@@ -995,12 +1016,12 @@
</li>
- <li class="chapter " data-level="6.3.2" data-path="kdd2010a_scw.html">
+ <li class="chapter " data-level="6.4.2" data-path="kdd2010a_scw.html">
<a href="kdd2010a_scw.html">
- <b>6.3.2.</b>
+ <b>6.4.2.</b>
PA, CW, AROW, SCW
@@ -1015,14 +1036,14 @@
</li>
- <li class="chapter active" data-level="6.4" data-path="kdd2010b.html">
+ <li class="chapter active" data-level="6.5" data-path="kdd2010b.html">
<a href="kdd2010b.html">
- <b>6.4.</b>
+ <b>6.5.</b>
- KDD2010b
+ KDD2010b tutorial
</a>
@@ -1031,12 +1052,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.4.1" data-path="kdd2010b_dataset.html">
+ <li class="chapter " data-level="6.5.1" data-path="kdd2010b_dataset.html">
<a href="kdd2010b_dataset.html">
- <b>6.4.1.</b>
+ <b>6.5.1.</b>
Data preparation
@@ -1046,12 +1067,12 @@
</li>
- <li class="chapter " data-level="6.4.2" data-path="kdd2010b_arow.html">
+ <li class="chapter " data-level="6.5.2" data-path="kdd2010b_arow.html">
<a href="kdd2010b_arow.html">
- <b>6.4.2.</b>
+ <b>6.5.2.</b>
AROW
@@ -1066,14 +1087,14 @@
</li>
- <li class="chapter " data-level="6.5" data-path="webspam.html">
+ <li class="chapter " data-level="6.6" data-path="webspam.html">
<a href="webspam.html">
- <b>6.5.</b>
+ <b>6.6.</b>
- Webspam
+ Webspam tutorial
</a>
@@ -1082,12 +1103,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.5.1" data-path="webspam_dataset.html">
+ <li class="chapter " data-level="6.6.1" data-path="webspam_dataset.html">
<a href="webspam_dataset.html">
- <b>6.5.1.</b>
+ <b>6.6.1.</b>
Data pareparation
@@ -1097,12 +1118,12 @@
</li>
- <li class="chapter " data-level="6.5.2" data-path="webspam_scw.html">
+ <li class="chapter " data-level="6.6.2" data-path="webspam_scw.html">
<a href="webspam_scw.html">
- <b>6.5.2.</b>
+ <b>6.6.2.</b>
PA1, AROW, SCW
@@ -1117,14 +1138,14 @@
</li>
- <li class="chapter " data-level="6.6" data-path="titanic_rf.html">
+ <li class="chapter " data-level="6.7" data-path="titanic_rf.html">
<a href="titanic_rf.html">
- <b>6.6.</b>
+ <b>6.7.</b>
- Kaggle Titanic
+ Kaggle Titanic tutorial
</a>
@@ -1135,7 +1156,7 @@
- <li class="header">Part VII - Multiclass classification tutorials</li>
+ <li class="header">Part VII - Multiclass classification</li>
@@ -1146,7 +1167,7 @@
<b>7.1.</b>
- News20 Multiclass
+ News20 Multiclass tutorial
</a>
@@ -1257,7 +1278,7 @@
<b>7.2.</b>
- Iris
+ Iris tutorial
</a>
@@ -1319,18 +1340,33 @@
- <li class="header">Part VIII - Regression tutorials</li>
+ <li class="header">Part VIII - Regression</li>
- <li class="chapter " data-level="8.1" data-path="../regression/e2006.html">
+ <li class="chapter " data-level="8.1" data-path="../regression/general.html">
- <a href="../regression/e2006.html">
+ <a href="../regression/general.html">
<b>8.1.</b>
- E2006-tfidf regression
+ Regression
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="8.2" data-path="../regression/e2006.html">
+
+ <a href="../regression/e2006.html">
+
+
+ <b>8.2.</b>
+
+ E2006-tfidf regression tutorial
</a>
@@ -1339,12 +1375,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.1.1" data-path="../regression/e2006_dataset.html">
+ <li class="chapter " data-level="8.2.1" data-path="../regression/e2006_dataset.html">
<a href="../regression/e2006_dataset.html">
- <b>8.1.1.</b>
+ <b>8.2.1.</b>
Data preparation
@@ -1354,12 +1390,12 @@
</li>
- <li class="chapter " data-level="8.1.2" data-path="../regression/e2006_arow.html">
+ <li class="chapter " data-level="8.2.2" data-path="../regression/e2006_arow.html">
<a href="../regression/e2006_arow.html">
- <b>8.1.2.</b>
+ <b>8.2.2.</b>
Passive Aggressive, AROW
@@ -1374,14 +1410,14 @@
</li>
- <li class="chapter " data-level="8.2" data-path="../regression/kddcup12tr2.html">
+ <li class="chapter " data-level="8.3" data-path="../regression/kddcup12tr2.html">
<a href="../regression/kddcup12tr2.html">
- <b>8.2.</b>
+ <b>8.3.</b>
- KDDCup 2012 track 2 CTR prediction
+ KDDCup 2012 track 2 CTR prediction tutorial
</a>
@@ -1390,12 +1426,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.2.1" data-path="../regression/kddcup12tr2_dataset.html">
+ <li class="chapter " data-level="8.3.1" data-path="../regression/kddcup12tr2_dataset.html">
<a href="../regression/kddcup12tr2_dataset.html">
- <b>8.2.1.</b>
+ <b>8.3.1.</b>
Data preparation
@@ -1405,12 +1441,12 @@
</li>
- <li class="chapter " data-level="8.2.2" data-path="../regression/kddcup12tr2_lr.html">
+ <li class="chapter " data-level="8.3.2" data-path="../regression/kddcup12tr2_lr.html">
<a href="../regression/kddcup12tr2_lr.html">
- <b>8.2.2.</b>
+ <b>8.3.2.</b>
Logistic Regression, Passive Aggressive
@@ -1420,12 +1456,12 @@
</li>
- <li class="chapter " data-level="8.2.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
+ <li class="chapter " data-level="8.3.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
<a href="../regression/kddcup12tr2_lr_amplify.html">
- <b>8.2.3.</b>
+ <b>8.3.3.</b>
Logistic Regression with Amplifier
@@ -1435,12 +1471,12 @@
</li>
- <li class="chapter " data-level="8.2.4" data-path="../regression/kddcup12tr2_adagrad.html">
+ <li class="chapter " data-level="8.3.4" data-path="../regression/kddcup12tr2_adagrad.html">
<a href="../regression/kddcup12tr2_adagrad.html">
- <b>8.2.4.</b>
+ <b>8.3.4.</b>
AdaGrad, AdaDelta
@@ -2041,7 +2077,7 @@
<!-- Title -->
<h1>
<i class="fa fa-circle-o-notch fa-spin"></i>
- <a href=".." >KDD2010b</a>
+ <a href=".." >KDD2010b tutorial</a>
</h1>
</div>
@@ -2129,7 +2165,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
<script>
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[34/41] incubator-hivemall-site git commit: Added descriptions about
Feature Pairing in the user guide
Posted by my...@apache.org.
http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/ba518dab/userguide/binaryclass/webspam_dataset.html
----------------------------------------------------------------------
diff --git a/userguide/binaryclass/webspam_dataset.html b/userguide/binaryclass/webspam_dataset.html
index 8ca32f7..6394815 100644
--- a/userguide/binaryclass/webspam_dataset.html
+++ b/userguide/binaryclass/webspam_dataset.html
@@ -598,14 +598,30 @@
</li>
- <li class="chapter " data-level="3.5" data-path="../ft_engineering/tfidf.html">
+ <li class="chapter " data-level="3.5" data-path="../ft_engineering/pairing.html">
- <a href="../ft_engineering/tfidf.html">
+ <a href="../ft_engineering/pairing.html">
<b>3.5.</b>
- TF-IDF Calculation
+ FEATURE PAIRING
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="3.5.1" data-path="../ft_engineering/polynomial.html">
+
+ <a href="../ft_engineering/polynomial.html">
+
+
+ <b>3.5.1.</b>
+
+ Polynomial Features
</a>
@@ -613,6 +629,11 @@
</li>
+
+ </ul>
+
+ </li>
+
<li class="chapter " data-level="3.6" data-path="../ft_engineering/ft_trans.html">
<a href="../ft_engineering/ft_trans.html">
@@ -664,6 +685,21 @@
</li>
+ <li class="chapter " data-level="3.7" data-path="../ft_engineering/tfidf.html">
+
+ <a href="../ft_engineering/tfidf.html">
+
+
+ <b>3.7.</b>
+
+ TF-IDF Calculation
+
+ </a>
+
+
+
+ </li>
+
@@ -761,7 +797,7 @@
- <li class="header">Part V - Prediction</li>
+ <li class="header">Part V - Supervised Learning</li>
@@ -780,27 +816,19 @@
</li>
- <li class="chapter " data-level="5.2" data-path="../regression/general.html">
-
- <a href="../regression/general.html">
-
-
- <b>5.2.</b>
-
- Regression
-
- </a>
-
-
- </li>
- <li class="chapter " data-level="5.3" data-path="general.html">
+
+ <li class="header">Part VI - Binary classification</li>
+
+
+
+ <li class="chapter " data-level="6.1" data-path="general.html">
<a href="general.html">
- <b>5.3.</b>
+ <b>6.1.</b>
Binary Classification
@@ -810,21 +838,14 @@
</li>
-
-
-
- <li class="header">Part VI - Binary classification tutorials</li>
-
-
-
- <li class="chapter " data-level="6.1" data-path="a9a.html">
+ <li class="chapter " data-level="6.2" data-path="a9a.html">
<a href="a9a.html">
- <b>6.1.</b>
+ <b>6.2.</b>
- a9a
+ a9a tutorial
</a>
@@ -833,12 +854,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.1.1" data-path="a9a_dataset.html">
+ <li class="chapter " data-level="6.2.1" data-path="a9a_dataset.html">
<a href="a9a_dataset.html">
- <b>6.1.1.</b>
+ <b>6.2.1.</b>
Data preparation
@@ -848,12 +869,12 @@
</li>
- <li class="chapter " data-level="6.1.2" data-path="a9a_lr.html">
+ <li class="chapter " data-level="6.2.2" data-path="a9a_lr.html">
<a href="a9a_lr.html">
- <b>6.1.2.</b>
+ <b>6.2.2.</b>
Logistic Regression
@@ -863,12 +884,12 @@
</li>
- <li class="chapter " data-level="6.1.3" data-path="a9a_minibatch.html">
+ <li class="chapter " data-level="6.2.3" data-path="a9a_minibatch.html">
<a href="a9a_minibatch.html">
- <b>6.1.3.</b>
+ <b>6.2.3.</b>
Mini-batch Gradient Descent
@@ -883,14 +904,14 @@
</li>
- <li class="chapter " data-level="6.2" data-path="news20.html">
+ <li class="chapter " data-level="6.3" data-path="news20.html">
<a href="news20.html">
- <b>6.2.</b>
+ <b>6.3.</b>
- News20
+ News20 tutorial
</a>
@@ -899,12 +920,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.2.1" data-path="news20_dataset.html">
+ <li class="chapter " data-level="6.3.1" data-path="news20_dataset.html">
<a href="news20_dataset.html">
- <b>6.2.1.</b>
+ <b>6.3.1.</b>
Data preparation
@@ -914,12 +935,12 @@
</li>
- <li class="chapter " data-level="6.2.2" data-path="news20_pa.html">
+ <li class="chapter " data-level="6.3.2" data-path="news20_pa.html">
<a href="news20_pa.html">
- <b>6.2.2.</b>
+ <b>6.3.2.</b>
Perceptron, Passive Aggressive
@@ -929,12 +950,12 @@
</li>
- <li class="chapter " data-level="6.2.3" data-path="news20_scw.html">
+ <li class="chapter " data-level="6.3.3" data-path="news20_scw.html">
<a href="news20_scw.html">
- <b>6.2.3.</b>
+ <b>6.3.3.</b>
CW, AROW, SCW
@@ -944,12 +965,12 @@
</li>
- <li class="chapter " data-level="6.2.4" data-path="news20_adagrad.html">
+ <li class="chapter " data-level="6.3.4" data-path="news20_adagrad.html">
<a href="news20_adagrad.html">
- <b>6.2.4.</b>
+ <b>6.3.4.</b>
AdaGradRDA, AdaGrad, AdaDelta
@@ -964,14 +985,14 @@
</li>
- <li class="chapter " data-level="6.3" data-path="kdd2010a.html">
+ <li class="chapter " data-level="6.4" data-path="kdd2010a.html">
<a href="kdd2010a.html">
- <b>6.3.</b>
+ <b>6.4.</b>
- KDD2010a
+ KDD2010a tutorial
</a>
@@ -980,12 +1001,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.3.1" data-path="kdd2010a_dataset.html">
+ <li class="chapter " data-level="6.4.1" data-path="kdd2010a_dataset.html">
<a href="kdd2010a_dataset.html">
- <b>6.3.1.</b>
+ <b>6.4.1.</b>
Data preparation
@@ -995,12 +1016,12 @@
</li>
- <li class="chapter " data-level="6.3.2" data-path="kdd2010a_scw.html">
+ <li class="chapter " data-level="6.4.2" data-path="kdd2010a_scw.html">
<a href="kdd2010a_scw.html">
- <b>6.3.2.</b>
+ <b>6.4.2.</b>
PA, CW, AROW, SCW
@@ -1015,14 +1036,14 @@
</li>
- <li class="chapter " data-level="6.4" data-path="kdd2010b.html">
+ <li class="chapter " data-level="6.5" data-path="kdd2010b.html">
<a href="kdd2010b.html">
- <b>6.4.</b>
+ <b>6.5.</b>
- KDD2010b
+ KDD2010b tutorial
</a>
@@ -1031,12 +1052,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.4.1" data-path="kdd2010b_dataset.html">
+ <li class="chapter " data-level="6.5.1" data-path="kdd2010b_dataset.html">
<a href="kdd2010b_dataset.html">
- <b>6.4.1.</b>
+ <b>6.5.1.</b>
Data preparation
@@ -1046,12 +1067,12 @@
</li>
- <li class="chapter " data-level="6.4.2" data-path="kdd2010b_arow.html">
+ <li class="chapter " data-level="6.5.2" data-path="kdd2010b_arow.html">
<a href="kdd2010b_arow.html">
- <b>6.4.2.</b>
+ <b>6.5.2.</b>
AROW
@@ -1066,14 +1087,14 @@
</li>
- <li class="chapter " data-level="6.5" data-path="webspam.html">
+ <li class="chapter " data-level="6.6" data-path="webspam.html">
<a href="webspam.html">
- <b>6.5.</b>
+ <b>6.6.</b>
- Webspam
+ Webspam tutorial
</a>
@@ -1082,12 +1103,12 @@
<ul class="articles">
- <li class="chapter active" data-level="6.5.1" data-path="webspam_dataset.html">
+ <li class="chapter active" data-level="6.6.1" data-path="webspam_dataset.html">
<a href="webspam_dataset.html">
- <b>6.5.1.</b>
+ <b>6.6.1.</b>
Data pareparation
@@ -1097,12 +1118,12 @@
</li>
- <li class="chapter " data-level="6.5.2" data-path="webspam_scw.html">
+ <li class="chapter " data-level="6.6.2" data-path="webspam_scw.html">
<a href="webspam_scw.html">
- <b>6.5.2.</b>
+ <b>6.6.2.</b>
PA1, AROW, SCW
@@ -1117,14 +1138,14 @@
</li>
- <li class="chapter " data-level="6.6" data-path="titanic_rf.html">
+ <li class="chapter " data-level="6.7" data-path="titanic_rf.html">
<a href="titanic_rf.html">
- <b>6.6.</b>
+ <b>6.7.</b>
- Kaggle Titanic
+ Kaggle Titanic tutorial
</a>
@@ -1135,7 +1156,7 @@
- <li class="header">Part VII - Multiclass classification tutorials</li>
+ <li class="header">Part VII - Multiclass classification</li>
@@ -1146,7 +1167,7 @@
<b>7.1.</b>
- News20 Multiclass
+ News20 Multiclass tutorial
</a>
@@ -1257,7 +1278,7 @@
<b>7.2.</b>
- Iris
+ Iris tutorial
</a>
@@ -1319,18 +1340,33 @@
- <li class="header">Part VIII - Regression tutorials</li>
+ <li class="header">Part VIII - Regression</li>
- <li class="chapter " data-level="8.1" data-path="../regression/e2006.html">
+ <li class="chapter " data-level="8.1" data-path="../regression/general.html">
- <a href="../regression/e2006.html">
+ <a href="../regression/general.html">
<b>8.1.</b>
- E2006-tfidf regression
+ Regression
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="8.2" data-path="../regression/e2006.html">
+
+ <a href="../regression/e2006.html">
+
+
+ <b>8.2.</b>
+
+ E2006-tfidf regression tutorial
</a>
@@ -1339,12 +1375,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.1.1" data-path="../regression/e2006_dataset.html">
+ <li class="chapter " data-level="8.2.1" data-path="../regression/e2006_dataset.html">
<a href="../regression/e2006_dataset.html">
- <b>8.1.1.</b>
+ <b>8.2.1.</b>
Data preparation
@@ -1354,12 +1390,12 @@
</li>
- <li class="chapter " data-level="8.1.2" data-path="../regression/e2006_arow.html">
+ <li class="chapter " data-level="8.2.2" data-path="../regression/e2006_arow.html">
<a href="../regression/e2006_arow.html">
- <b>8.1.2.</b>
+ <b>8.2.2.</b>
Passive Aggressive, AROW
@@ -1374,14 +1410,14 @@
</li>
- <li class="chapter " data-level="8.2" data-path="../regression/kddcup12tr2.html">
+ <li class="chapter " data-level="8.3" data-path="../regression/kddcup12tr2.html">
<a href="../regression/kddcup12tr2.html">
- <b>8.2.</b>
+ <b>8.3.</b>
- KDDCup 2012 track 2 CTR prediction
+ KDDCup 2012 track 2 CTR prediction tutorial
</a>
@@ -1390,12 +1426,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.2.1" data-path="../regression/kddcup12tr2_dataset.html">
+ <li class="chapter " data-level="8.3.1" data-path="../regression/kddcup12tr2_dataset.html">
<a href="../regression/kddcup12tr2_dataset.html">
- <b>8.2.1.</b>
+ <b>8.3.1.</b>
Data preparation
@@ -1405,12 +1441,12 @@
</li>
- <li class="chapter " data-level="8.2.2" data-path="../regression/kddcup12tr2_lr.html">
+ <li class="chapter " data-level="8.3.2" data-path="../regression/kddcup12tr2_lr.html">
<a href="../regression/kddcup12tr2_lr.html">
- <b>8.2.2.</b>
+ <b>8.3.2.</b>
Logistic Regression, Passive Aggressive
@@ -1420,12 +1456,12 @@
</li>
- <li class="chapter " data-level="8.2.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
+ <li class="chapter " data-level="8.3.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
<a href="../regression/kddcup12tr2_lr_amplify.html">
- <b>8.2.3.</b>
+ <b>8.3.3.</b>
Logistic Regression with Amplifier
@@ -1435,12 +1471,12 @@
</li>
- <li class="chapter " data-level="8.2.4" data-path="../regression/kddcup12tr2_adagrad.html">
+ <li class="chapter " data-level="8.3.4" data-path="../regression/kddcup12tr2_adagrad.html">
<a href="../regression/kddcup12tr2_adagrad.html">
- <b>8.2.4.</b>
+ <b>8.3.4.</b>
AdaGrad, AdaDelta
@@ -2199,7 +2235,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
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http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/ba518dab/userguide/binaryclass/webspam_scw.html
----------------------------------------------------------------------
diff --git a/userguide/binaryclass/webspam_scw.html b/userguide/binaryclass/webspam_scw.html
index 9881e15..551d072 100644
--- a/userguide/binaryclass/webspam_scw.html
+++ b/userguide/binaryclass/webspam_scw.html
@@ -598,14 +598,30 @@
</li>
- <li class="chapter " data-level="3.5" data-path="../ft_engineering/tfidf.html">
+ <li class="chapter " data-level="3.5" data-path="../ft_engineering/pairing.html">
- <a href="../ft_engineering/tfidf.html">
+ <a href="../ft_engineering/pairing.html">
<b>3.5.</b>
- TF-IDF Calculation
+ FEATURE PAIRING
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="3.5.1" data-path="../ft_engineering/polynomial.html">
+
+ <a href="../ft_engineering/polynomial.html">
+
+
+ <b>3.5.1.</b>
+
+ Polynomial Features
</a>
@@ -613,6 +629,11 @@
</li>
+
+ </ul>
+
+ </li>
+
<li class="chapter " data-level="3.6" data-path="../ft_engineering/ft_trans.html">
<a href="../ft_engineering/ft_trans.html">
@@ -664,6 +685,21 @@
</li>
+ <li class="chapter " data-level="3.7" data-path="../ft_engineering/tfidf.html">
+
+ <a href="../ft_engineering/tfidf.html">
+
+
+ <b>3.7.</b>
+
+ TF-IDF Calculation
+
+ </a>
+
+
+
+ </li>
+
@@ -761,7 +797,7 @@
- <li class="header">Part V - Prediction</li>
+ <li class="header">Part V - Supervised Learning</li>
@@ -780,27 +816,19 @@
</li>
- <li class="chapter " data-level="5.2" data-path="../regression/general.html">
-
- <a href="../regression/general.html">
-
-
- <b>5.2.</b>
-
- Regression
-
- </a>
-
-
- </li>
- <li class="chapter " data-level="5.3" data-path="general.html">
+
+ <li class="header">Part VI - Binary classification</li>
+
+
+
+ <li class="chapter " data-level="6.1" data-path="general.html">
<a href="general.html">
- <b>5.3.</b>
+ <b>6.1.</b>
Binary Classification
@@ -810,21 +838,14 @@
</li>
-
-
-
- <li class="header">Part VI - Binary classification tutorials</li>
-
-
-
- <li class="chapter " data-level="6.1" data-path="a9a.html">
+ <li class="chapter " data-level="6.2" data-path="a9a.html">
<a href="a9a.html">
- <b>6.1.</b>
+ <b>6.2.</b>
- a9a
+ a9a tutorial
</a>
@@ -833,12 +854,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.1.1" data-path="a9a_dataset.html">
+ <li class="chapter " data-level="6.2.1" data-path="a9a_dataset.html">
<a href="a9a_dataset.html">
- <b>6.1.1.</b>
+ <b>6.2.1.</b>
Data preparation
@@ -848,12 +869,12 @@
</li>
- <li class="chapter " data-level="6.1.2" data-path="a9a_lr.html">
+ <li class="chapter " data-level="6.2.2" data-path="a9a_lr.html">
<a href="a9a_lr.html">
- <b>6.1.2.</b>
+ <b>6.2.2.</b>
Logistic Regression
@@ -863,12 +884,12 @@
</li>
- <li class="chapter " data-level="6.1.3" data-path="a9a_minibatch.html">
+ <li class="chapter " data-level="6.2.3" data-path="a9a_minibatch.html">
<a href="a9a_minibatch.html">
- <b>6.1.3.</b>
+ <b>6.2.3.</b>
Mini-batch Gradient Descent
@@ -883,14 +904,14 @@
</li>
- <li class="chapter " data-level="6.2" data-path="news20.html">
+ <li class="chapter " data-level="6.3" data-path="news20.html">
<a href="news20.html">
- <b>6.2.</b>
+ <b>6.3.</b>
- News20
+ News20 tutorial
</a>
@@ -899,12 +920,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.2.1" data-path="news20_dataset.html">
+ <li class="chapter " data-level="6.3.1" data-path="news20_dataset.html">
<a href="news20_dataset.html">
- <b>6.2.1.</b>
+ <b>6.3.1.</b>
Data preparation
@@ -914,12 +935,12 @@
</li>
- <li class="chapter " data-level="6.2.2" data-path="news20_pa.html">
+ <li class="chapter " data-level="6.3.2" data-path="news20_pa.html">
<a href="news20_pa.html">
- <b>6.2.2.</b>
+ <b>6.3.2.</b>
Perceptron, Passive Aggressive
@@ -929,12 +950,12 @@
</li>
- <li class="chapter " data-level="6.2.3" data-path="news20_scw.html">
+ <li class="chapter " data-level="6.3.3" data-path="news20_scw.html">
<a href="news20_scw.html">
- <b>6.2.3.</b>
+ <b>6.3.3.</b>
CW, AROW, SCW
@@ -944,12 +965,12 @@
</li>
- <li class="chapter " data-level="6.2.4" data-path="news20_adagrad.html">
+ <li class="chapter " data-level="6.3.4" data-path="news20_adagrad.html">
<a href="news20_adagrad.html">
- <b>6.2.4.</b>
+ <b>6.3.4.</b>
AdaGradRDA, AdaGrad, AdaDelta
@@ -964,14 +985,14 @@
</li>
- <li class="chapter " data-level="6.3" data-path="kdd2010a.html">
+ <li class="chapter " data-level="6.4" data-path="kdd2010a.html">
<a href="kdd2010a.html">
- <b>6.3.</b>
+ <b>6.4.</b>
- KDD2010a
+ KDD2010a tutorial
</a>
@@ -980,12 +1001,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.3.1" data-path="kdd2010a_dataset.html">
+ <li class="chapter " data-level="6.4.1" data-path="kdd2010a_dataset.html">
<a href="kdd2010a_dataset.html">
- <b>6.3.1.</b>
+ <b>6.4.1.</b>
Data preparation
@@ -995,12 +1016,12 @@
</li>
- <li class="chapter " data-level="6.3.2" data-path="kdd2010a_scw.html">
+ <li class="chapter " data-level="6.4.2" data-path="kdd2010a_scw.html">
<a href="kdd2010a_scw.html">
- <b>6.3.2.</b>
+ <b>6.4.2.</b>
PA, CW, AROW, SCW
@@ -1015,14 +1036,14 @@
</li>
- <li class="chapter " data-level="6.4" data-path="kdd2010b.html">
+ <li class="chapter " data-level="6.5" data-path="kdd2010b.html">
<a href="kdd2010b.html">
- <b>6.4.</b>
+ <b>6.5.</b>
- KDD2010b
+ KDD2010b tutorial
</a>
@@ -1031,12 +1052,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.4.1" data-path="kdd2010b_dataset.html">
+ <li class="chapter " data-level="6.5.1" data-path="kdd2010b_dataset.html">
<a href="kdd2010b_dataset.html">
- <b>6.4.1.</b>
+ <b>6.5.1.</b>
Data preparation
@@ -1046,12 +1067,12 @@
</li>
- <li class="chapter " data-level="6.4.2" data-path="kdd2010b_arow.html">
+ <li class="chapter " data-level="6.5.2" data-path="kdd2010b_arow.html">
<a href="kdd2010b_arow.html">
- <b>6.4.2.</b>
+ <b>6.5.2.</b>
AROW
@@ -1066,14 +1087,14 @@
</li>
- <li class="chapter " data-level="6.5" data-path="webspam.html">
+ <li class="chapter " data-level="6.6" data-path="webspam.html">
<a href="webspam.html">
- <b>6.5.</b>
+ <b>6.6.</b>
- Webspam
+ Webspam tutorial
</a>
@@ -1082,12 +1103,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.5.1" data-path="webspam_dataset.html">
+ <li class="chapter " data-level="6.6.1" data-path="webspam_dataset.html">
<a href="webspam_dataset.html">
- <b>6.5.1.</b>
+ <b>6.6.1.</b>
Data pareparation
@@ -1097,12 +1118,12 @@
</li>
- <li class="chapter active" data-level="6.5.2" data-path="webspam_scw.html">
+ <li class="chapter active" data-level="6.6.2" data-path="webspam_scw.html">
<a href="webspam_scw.html">
- <b>6.5.2.</b>
+ <b>6.6.2.</b>
PA1, AROW, SCW
@@ -1117,14 +1138,14 @@
</li>
- <li class="chapter " data-level="6.6" data-path="titanic_rf.html">
+ <li class="chapter " data-level="6.7" data-path="titanic_rf.html">
<a href="titanic_rf.html">
- <b>6.6.</b>
+ <b>6.7.</b>
- Kaggle Titanic
+ Kaggle Titanic tutorial
</a>
@@ -1135,7 +1156,7 @@
- <li class="header">Part VII - Multiclass classification tutorials</li>
+ <li class="header">Part VII - Multiclass classification</li>
@@ -1146,7 +1167,7 @@
<b>7.1.</b>
- News20 Multiclass
+ News20 Multiclass tutorial
</a>
@@ -1257,7 +1278,7 @@
<b>7.2.</b>
- Iris
+ Iris tutorial
</a>
@@ -1319,18 +1340,33 @@
- <li class="header">Part VIII - Regression tutorials</li>
+ <li class="header">Part VIII - Regression</li>
- <li class="chapter " data-level="8.1" data-path="../regression/e2006.html">
+ <li class="chapter " data-level="8.1" data-path="../regression/general.html">
- <a href="../regression/e2006.html">
+ <a href="../regression/general.html">
<b>8.1.</b>
- E2006-tfidf regression
+ Regression
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="8.2" data-path="../regression/e2006.html">
+
+ <a href="../regression/e2006.html">
+
+
+ <b>8.2.</b>
+
+ E2006-tfidf regression tutorial
</a>
@@ -1339,12 +1375,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.1.1" data-path="../regression/e2006_dataset.html">
+ <li class="chapter " data-level="8.2.1" data-path="../regression/e2006_dataset.html">
<a href="../regression/e2006_dataset.html">
- <b>8.1.1.</b>
+ <b>8.2.1.</b>
Data preparation
@@ -1354,12 +1390,12 @@
</li>
- <li class="chapter " data-level="8.1.2" data-path="../regression/e2006_arow.html">
+ <li class="chapter " data-level="8.2.2" data-path="../regression/e2006_arow.html">
<a href="../regression/e2006_arow.html">
- <b>8.1.2.</b>
+ <b>8.2.2.</b>
Passive Aggressive, AROW
@@ -1374,14 +1410,14 @@
</li>
- <li class="chapter " data-level="8.2" data-path="../regression/kddcup12tr2.html">
+ <li class="chapter " data-level="8.3" data-path="../regression/kddcup12tr2.html">
<a href="../regression/kddcup12tr2.html">
- <b>8.2.</b>
+ <b>8.3.</b>
- KDDCup 2012 track 2 CTR prediction
+ KDDCup 2012 track 2 CTR prediction tutorial
</a>
@@ -1390,12 +1426,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.2.1" data-path="../regression/kddcup12tr2_dataset.html">
+ <li class="chapter " data-level="8.3.1" data-path="../regression/kddcup12tr2_dataset.html">
<a href="../regression/kddcup12tr2_dataset.html">
- <b>8.2.1.</b>
+ <b>8.3.1.</b>
Data preparation
@@ -1405,12 +1441,12 @@
</li>
- <li class="chapter " data-level="8.2.2" data-path="../regression/kddcup12tr2_lr.html">
+ <li class="chapter " data-level="8.3.2" data-path="../regression/kddcup12tr2_lr.html">
<a href="../regression/kddcup12tr2_lr.html">
- <b>8.2.2.</b>
+ <b>8.3.2.</b>
Logistic Regression, Passive Aggressive
@@ -1420,12 +1456,12 @@
</li>
- <li class="chapter " data-level="8.2.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
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<a href="../regression/kddcup12tr2_lr_amplify.html">
- <b>8.2.3.</b>
+ <b>8.3.3.</b>
Logistic Regression with Amplifier
@@ -1435,12 +1471,12 @@
</li>
- <li class="chapter " data-level="8.2.4" data-path="../regression/kddcup12tr2_adagrad.html">
+ <li class="chapter " data-level="8.3.4" data-path="../regression/kddcup12tr2_adagrad.html">
<a href="../regression/kddcup12tr2_adagrad.html">
- <b>8.2.4.</b>
+ <b>8.3.4.</b>
AdaGrad, AdaDelta
@@ -2259,7 +2295,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
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----------------------------------------------------------------------
diff --git a/userguide/clustering/lda.html b/userguide/clustering/lda.html
index 92eea38..a14aa18 100644
--- a/userguide/clustering/lda.html
+++ b/userguide/clustering/lda.html
@@ -598,14 +598,30 @@
</li>
- <li class="chapter " data-level="3.5" data-path="../ft_engineering/tfidf.html">
+ <li class="chapter " data-level="3.5" data-path="../ft_engineering/pairing.html">
- <a href="../ft_engineering/tfidf.html">
+ <a href="../ft_engineering/pairing.html">
<b>3.5.</b>
- TF-IDF Calculation
+ FEATURE PAIRING
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="3.5.1" data-path="../ft_engineering/polynomial.html">
+
+ <a href="../ft_engineering/polynomial.html">
+
+
+ <b>3.5.1.</b>
+
+ Polynomial Features
</a>
@@ -613,6 +629,11 @@
</li>
+
+ </ul>
+
+ </li>
+
<li class="chapter " data-level="3.6" data-path="../ft_engineering/ft_trans.html">
<a href="../ft_engineering/ft_trans.html">
@@ -664,6 +685,21 @@
</li>
+ <li class="chapter " data-level="3.7" data-path="../ft_engineering/tfidf.html">
+
+ <a href="../ft_engineering/tfidf.html">
+
+
+ <b>3.7.</b>
+
+ TF-IDF Calculation
+
+ </a>
+
+
+
+ </li>
+
@@ -761,7 +797,7 @@
- <li class="header">Part V - Prediction</li>
+ <li class="header">Part V - Supervised Learning</li>
@@ -780,27 +816,19 @@
</li>
- <li class="chapter " data-level="5.2" data-path="../regression/general.html">
-
- <a href="../regression/general.html">
-
-
- <b>5.2.</b>
-
- Regression
-
- </a>
-
-
- </li>
- <li class="chapter " data-level="5.3" data-path="../binaryclass/general.html">
+
+ <li class="header">Part VI - Binary classification</li>
+
+
+
+ <li class="chapter " data-level="6.1" data-path="../binaryclass/general.html">
<a href="../binaryclass/general.html">
- <b>5.3.</b>
+ <b>6.1.</b>
Binary Classification
@@ -810,21 +838,14 @@
</li>
-
-
-
- <li class="header">Part VI - Binary classification tutorials</li>
-
-
-
- <li class="chapter " data-level="6.1" data-path="../binaryclass/a9a.html">
+ <li class="chapter " data-level="6.2" data-path="../binaryclass/a9a.html">
<a href="../binaryclass/a9a.html">
- <b>6.1.</b>
+ <b>6.2.</b>
- a9a
+ a9a tutorial
</a>
@@ -833,12 +854,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.1.1" data-path="../binaryclass/a9a_dataset.html">
+ <li class="chapter " data-level="6.2.1" data-path="../binaryclass/a9a_dataset.html">
<a href="../binaryclass/a9a_dataset.html">
- <b>6.1.1.</b>
+ <b>6.2.1.</b>
Data preparation
@@ -848,12 +869,12 @@
</li>
- <li class="chapter " data-level="6.1.2" data-path="../binaryclass/a9a_lr.html">
+ <li class="chapter " data-level="6.2.2" data-path="../binaryclass/a9a_lr.html">
<a href="../binaryclass/a9a_lr.html">
- <b>6.1.2.</b>
+ <b>6.2.2.</b>
Logistic Regression
@@ -863,12 +884,12 @@
</li>
- <li class="chapter " data-level="6.1.3" data-path="../binaryclass/a9a_minibatch.html">
+ <li class="chapter " data-level="6.2.3" data-path="../binaryclass/a9a_minibatch.html">
<a href="../binaryclass/a9a_minibatch.html">
- <b>6.1.3.</b>
+ <b>6.2.3.</b>
Mini-batch Gradient Descent
@@ -883,14 +904,14 @@
</li>
- <li class="chapter " data-level="6.2" data-path="../binaryclass/news20.html">
+ <li class="chapter " data-level="6.3" data-path="../binaryclass/news20.html">
<a href="../binaryclass/news20.html">
- <b>6.2.</b>
+ <b>6.3.</b>
- News20
+ News20 tutorial
</a>
@@ -899,12 +920,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.2.1" data-path="../binaryclass/news20_dataset.html">
+ <li class="chapter " data-level="6.3.1" data-path="../binaryclass/news20_dataset.html">
<a href="../binaryclass/news20_dataset.html">
- <b>6.2.1.</b>
+ <b>6.3.1.</b>
Data preparation
@@ -914,12 +935,12 @@
</li>
- <li class="chapter " data-level="6.2.2" data-path="../binaryclass/news20_pa.html">
+ <li class="chapter " data-level="6.3.2" data-path="../binaryclass/news20_pa.html">
<a href="../binaryclass/news20_pa.html">
- <b>6.2.2.</b>
+ <b>6.3.2.</b>
Perceptron, Passive Aggressive
@@ -929,12 +950,12 @@
</li>
- <li class="chapter " data-level="6.2.3" data-path="../binaryclass/news20_scw.html">
+ <li class="chapter " data-level="6.3.3" data-path="../binaryclass/news20_scw.html">
<a href="../binaryclass/news20_scw.html">
- <b>6.2.3.</b>
+ <b>6.3.3.</b>
CW, AROW, SCW
@@ -944,12 +965,12 @@
</li>
- <li class="chapter " data-level="6.2.4" data-path="../binaryclass/news20_adagrad.html">
+ <li class="chapter " data-level="6.3.4" data-path="../binaryclass/news20_adagrad.html">
<a href="../binaryclass/news20_adagrad.html">
- <b>6.2.4.</b>
+ <b>6.3.4.</b>
AdaGradRDA, AdaGrad, AdaDelta
@@ -964,14 +985,14 @@
</li>
- <li class="chapter " data-level="6.3" data-path="../binaryclass/kdd2010a.html">
+ <li class="chapter " data-level="6.4" data-path="../binaryclass/kdd2010a.html">
<a href="../binaryclass/kdd2010a.html">
- <b>6.3.</b>
+ <b>6.4.</b>
- KDD2010a
+ KDD2010a tutorial
</a>
@@ -980,12 +1001,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.3.1" data-path="../binaryclass/kdd2010a_dataset.html">
+ <li class="chapter " data-level="6.4.1" data-path="../binaryclass/kdd2010a_dataset.html">
<a href="../binaryclass/kdd2010a_dataset.html">
- <b>6.3.1.</b>
+ <b>6.4.1.</b>
Data preparation
@@ -995,12 +1016,12 @@
</li>
- <li class="chapter " data-level="6.3.2" data-path="../binaryclass/kdd2010a_scw.html">
+ <li class="chapter " data-level="6.4.2" data-path="../binaryclass/kdd2010a_scw.html">
<a href="../binaryclass/kdd2010a_scw.html">
- <b>6.3.2.</b>
+ <b>6.4.2.</b>
PA, CW, AROW, SCW
@@ -1015,14 +1036,14 @@
</li>
- <li class="chapter " data-level="6.4" data-path="../binaryclass/kdd2010b.html">
+ <li class="chapter " data-level="6.5" data-path="../binaryclass/kdd2010b.html">
<a href="../binaryclass/kdd2010b.html">
- <b>6.4.</b>
+ <b>6.5.</b>
- KDD2010b
+ KDD2010b tutorial
</a>
@@ -1031,12 +1052,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.4.1" data-path="../binaryclass/kdd2010b_dataset.html">
+ <li class="chapter " data-level="6.5.1" data-path="../binaryclass/kdd2010b_dataset.html">
<a href="../binaryclass/kdd2010b_dataset.html">
- <b>6.4.1.</b>
+ <b>6.5.1.</b>
Data preparation
@@ -1046,12 +1067,12 @@
</li>
- <li class="chapter " data-level="6.4.2" data-path="../binaryclass/kdd2010b_arow.html">
+ <li class="chapter " data-level="6.5.2" data-path="../binaryclass/kdd2010b_arow.html">
<a href="../binaryclass/kdd2010b_arow.html">
- <b>6.4.2.</b>
+ <b>6.5.2.</b>
AROW
@@ -1066,14 +1087,14 @@
</li>
- <li class="chapter " data-level="6.5" data-path="../binaryclass/webspam.html">
+ <li class="chapter " data-level="6.6" data-path="../binaryclass/webspam.html">
<a href="../binaryclass/webspam.html">
- <b>6.5.</b>
+ <b>6.6.</b>
- Webspam
+ Webspam tutorial
</a>
@@ -1082,12 +1103,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.5.1" data-path="../binaryclass/webspam_dataset.html">
+ <li class="chapter " data-level="6.6.1" data-path="../binaryclass/webspam_dataset.html">
<a href="../binaryclass/webspam_dataset.html">
- <b>6.5.1.</b>
+ <b>6.6.1.</b>
Data pareparation
@@ -1097,12 +1118,12 @@
</li>
- <li class="chapter " data-level="6.5.2" data-path="../binaryclass/webspam_scw.html">
+ <li class="chapter " data-level="6.6.2" data-path="../binaryclass/webspam_scw.html">
<a href="../binaryclass/webspam_scw.html">
- <b>6.5.2.</b>
+ <b>6.6.2.</b>
PA1, AROW, SCW
@@ -1117,14 +1138,14 @@
</li>
- <li class="chapter " data-level="6.6" data-path="../binaryclass/titanic_rf.html">
+ <li class="chapter " data-level="6.7" data-path="../binaryclass/titanic_rf.html">
<a href="../binaryclass/titanic_rf.html">
- <b>6.6.</b>
+ <b>6.7.</b>
- Kaggle Titanic
+ Kaggle Titanic tutorial
</a>
@@ -1135,7 +1156,7 @@
- <li class="header">Part VII - Multiclass classification tutorials</li>
+ <li class="header">Part VII - Multiclass classification</li>
@@ -1146,7 +1167,7 @@
<b>7.1.</b>
- News20 Multiclass
+ News20 Multiclass tutorial
</a>
@@ -1257,7 +1278,7 @@
<b>7.2.</b>
- Iris
+ Iris tutorial
</a>
@@ -1319,18 +1340,33 @@
- <li class="header">Part VIII - Regression tutorials</li>
+ <li class="header">Part VIII - Regression</li>
- <li class="chapter " data-level="8.1" data-path="../regression/e2006.html">
+ <li class="chapter " data-level="8.1" data-path="../regression/general.html">
- <a href="../regression/e2006.html">
+ <a href="../regression/general.html">
<b>8.1.</b>
- E2006-tfidf regression
+ Regression
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="8.2" data-path="../regression/e2006.html">
+
+ <a href="../regression/e2006.html">
+
+
+ <b>8.2.</b>
+
+ E2006-tfidf regression tutorial
</a>
@@ -1339,12 +1375,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.1.1" data-path="../regression/e2006_dataset.html">
+ <li class="chapter " data-level="8.2.1" data-path="../regression/e2006_dataset.html">
<a href="../regression/e2006_dataset.html">
- <b>8.1.1.</b>
+ <b>8.2.1.</b>
Data preparation
@@ -1354,12 +1390,12 @@
</li>
- <li class="chapter " data-level="8.1.2" data-path="../regression/e2006_arow.html">
+ <li class="chapter " data-level="8.2.2" data-path="../regression/e2006_arow.html">
<a href="../regression/e2006_arow.html">
- <b>8.1.2.</b>
+ <b>8.2.2.</b>
Passive Aggressive, AROW
@@ -1374,14 +1410,14 @@
</li>
- <li class="chapter " data-level="8.2" data-path="../regression/kddcup12tr2.html">
+ <li class="chapter " data-level="8.3" data-path="../regression/kddcup12tr2.html">
<a href="../regression/kddcup12tr2.html">
- <b>8.2.</b>
+ <b>8.3.</b>
- KDDCup 2012 track 2 CTR prediction
+ KDDCup 2012 track 2 CTR prediction tutorial
</a>
@@ -1390,12 +1426,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.2.1" data-path="../regression/kddcup12tr2_dataset.html">
+ <li class="chapter " data-level="8.3.1" data-path="../regression/kddcup12tr2_dataset.html">
<a href="../regression/kddcup12tr2_dataset.html">
- <b>8.2.1.</b>
+ <b>8.3.1.</b>
Data preparation
@@ -1405,12 +1441,12 @@
</li>
- <li class="chapter " data-level="8.2.2" data-path="../regression/kddcup12tr2_lr.html">
+ <li class="chapter " data-level="8.3.2" data-path="../regression/kddcup12tr2_lr.html">
<a href="../regression/kddcup12tr2_lr.html">
- <b>8.2.2.</b>
+ <b>8.3.2.</b>
Logistic Regression, Passive Aggressive
@@ -1420,12 +1456,12 @@
</li>
- <li class="chapter " data-level="8.2.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
+ <li class="chapter " data-level="8.3.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
<a href="../regression/kddcup12tr2_lr_amplify.html">
- <b>8.2.3.</b>
+ <b>8.3.3.</b>
Logistic Regression with Amplifier
@@ -1435,12 +1471,12 @@
</li>
- <li class="chapter " data-level="8.2.4" data-path="../regression/kddcup12tr2_adagrad.html">
+ <li class="chapter " data-level="8.3.4" data-path="../regression/kddcup12tr2_adagrad.html">
<a href="../regression/kddcup12tr2_adagrad.html">
- <b>8.2.4.</b>
+ <b>8.3.4.</b>
AdaGrad, AdaDelta
@@ -2119,13 +2155,15 @@
<span class="hljs-keyword">select</span>
docid,
feature(word, <span class="hljs-keyword">count</span>(word)) <span class="hljs-keyword">as</span> word_count
- <span class="hljs-keyword">from</span> docs t1 LATERAL <span class="hljs-keyword">VIEW</span> explode(tokenize(doc, <span class="hljs-literal">true</span>)) t2 <span class="hljs-keyword">as</span> word
+ <span class="hljs-keyword">from</span>
+ docs t1
+ LATERAL <span class="hljs-keyword">VIEW</span> explode(tokenize(doc, <span class="hljs-literal">true</span>)) t2 <span class="hljs-keyword">as</span> word
<span class="hljs-keyword">where</span>
<span class="hljs-keyword">not</span> is_stopword(word)
<span class="hljs-keyword">group</span> <span class="hljs-keyword">by</span>
docid, word
)
-<span class="hljs-keyword">select</span> docid, collect_set(word_count) <span class="hljs-keyword">as</span> feature
+<span class="hljs-keyword">select</span> docid, collect_list(word_count) <span class="hljs-keyword">as</span> features
<span class="hljs-keyword">from</span> word_counts
<span class="hljs-keyword">group</span> <span class="hljs-keyword">by</span> docid
;
@@ -2134,7 +2172,7 @@
<thead>
<tr>
<th style="text-align:center">docid</th>
-<th style="text-align:left">feature</th>
+<th style="text-align:left">features</th>
</tr>
</thead>
<tbody>
@@ -2160,35 +2198,38 @@
<span class="hljs-keyword">not</span> is_stopword(word)
<span class="hljs-keyword">group</span> <span class="hljs-keyword">by</span>
docid, word
-)
-<span class="hljs-keyword">select</span>
- train_lda(feature, <span class="hljs-string">"-topics 2 -iter 20"</span>) <span class="hljs-keyword">as</span> (label, word, lambda)
-<span class="hljs-keyword">from</span> (
- <span class="hljs-keyword">select</span> docid, collect_set(word_count) <span class="hljs-keyword">as</span> feature
+),
+<span class="hljs-keyword">input</span> <span class="hljs-keyword">as</span> (
+ <span class="hljs-keyword">select</span> docid, collect_list(word_count) <span class="hljs-keyword">as</span> features
<span class="hljs-keyword">from</span> word_counts
<span class="hljs-keyword">group</span> <span class="hljs-keyword">by</span> docid
- <span class="hljs-keyword">order</span> <span class="hljs-keyword">by</span> docid
-) t
+)
+<span class="hljs-keyword">select</span>
+ train_lda(features, <span class="hljs-string">'-topics 2 -iter 20'</span>) <span class="hljs-keyword">as</span> (label, word, lambda)
+<span class="hljs-keyword">from</span>
+ <span class="hljs-keyword">input</span>
;
</code></pre>
<p>Here, an option <code>-topics 2</code> specifies the number of topics we assume in the set of documents.</p>
<p>Notice that <code>order by docid</code> ensures building a LDA model precisely in a single node. In case that you like to launch <code>train_lda</code> in parallel, following query hopefully returns similar (but might be slightly approximated) result:</p>
<pre><code class="lang-sql">with word_counts as (
<span class="hljs-comment">-- same as above</span>
+),
+input as (
+ <span class="hljs-keyword">select</span> docid, collect_list(f) <span class="hljs-keyword">as</span> features
+ <span class="hljs-keyword">from</span> word_counts
+ <span class="hljs-keyword">group</span> <span class="hljs-keyword">by</span> docid
)
<span class="hljs-keyword">select</span>
label, word, <span class="hljs-keyword">avg</span>(lambda) <span class="hljs-keyword">as</span> lambda
<span class="hljs-keyword">from</span> (
<span class="hljs-keyword">select</span>
- train_lda(feature, <span class="hljs-string">"-topics 2 -iter 20"</span>) <span class="hljs-keyword">as</span> (label, word, lambda)
- <span class="hljs-keyword">from</span> (
- <span class="hljs-keyword">select</span> docid, collect_set(f) <span class="hljs-keyword">as</span> feature
- <span class="hljs-keyword">from</span> word_counts
- <span class="hljs-keyword">group</span> <span class="hljs-keyword">by</span> docid
- ) t1
+ train_lda(features, <span class="hljs-string">'-topics 2 -iter 20'</span>) <span class="hljs-keyword">as</span> (label, word, lambda)
+ <span class="hljs-keyword">from</span>
+ <span class="hljs-keyword">input</span>
) t2
<span class="hljs-keyword">group</span> <span class="hljs-keyword">by</span> label, word
-<span class="hljs-keyword">order</span> <span class="hljs-keyword">by</span> lambda <span class="hljs-keyword">desc</span>
+<span class="hljs-comment">-- order by lambda desc -- ordering is optional</span>
;
</code></pre>
<p>Eventually, a new table <code>lda_model</code> is generated as shown below:</p>
@@ -2303,7 +2344,9 @@
docid,
word,
<span class="hljs-keyword">count</span>(word) <span class="hljs-keyword">as</span> <span class="hljs-keyword">value</span>
- <span class="hljs-keyword">from</span> docs t1 LATERAL <span class="hljs-keyword">VIEW</span> explode(tokenize(doc, <span class="hljs-literal">true</span>)) t2 <span class="hljs-keyword">as</span> word
+ <span class="hljs-keyword">from</span>
+ docs t1
+ LATERAL <span class="hljs-keyword">VIEW</span> explode(tokenize(doc, <span class="hljs-literal">true</span>)) t2 <span class="hljs-keyword">as</span> word
<span class="hljs-keyword">where</span>
<span class="hljs-keyword">not</span> is_stopword(word)
<span class="hljs-keyword">group</span> <span class="hljs-keyword">by</span>
@@ -2311,7 +2354,7 @@
)
<span class="hljs-keyword">select</span>
t.docid,
- lda_predict(t.word, t.<span class="hljs-keyword">value</span>, m.label, m.lambda, <span class="hljs-string">"-topics 2"</span>) <span class="hljs-keyword">as</span> probabilities
+ lda_predict(t.word, t.<span class="hljs-keyword">value</span>, m.label, m.lambda, <span class="hljs-string">'-topics 2'</span>) <span class="hljs-keyword">as</span> probabilities
<span class="hljs-keyword">from</span>
<span class="hljs-keyword">test</span> t
<span class="hljs-keyword">JOIN</span> lda_model m <span class="hljs-keyword">ON</span> (t.word = m.word)
@@ -2340,8 +2383,7 @@
<p>Importantly, an option <code>-topics</code> is expected to be the same value as you set for training.</p>
<p>Since the probabilities are sorted in descending order, a label of the most promising topic is easily obtained as:</p>
<pre><code class="lang-sql"><span class="hljs-keyword">select</span> docid, probabilities[<span class="hljs-number">0</span>].label
-<span class="hljs-keyword">from</span> topic
-;
+<span class="hljs-keyword">from</span> topic;
</code></pre>
<table>
<thead>
@@ -2417,7 +2459,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
<script>
var gitbook = gitbook || [];
gitbook.push(function() {
- gitbook.page.hasChanged({"page":{"title":"Latent Dirichlet Allocation","level":"11.1","depth":1,"next":{"title":"Probabilistic Latent Semantic Analysis","level":"11.2","depth":1,"path":"clustering/plsa.md","ref":"clustering/plsa.md","articles":[]},"previous":{"title":"ChangeFinder: Detecting Outlier and Change-Point Simultaneously","level":"10.3","depth":1,"path":"anomaly/changefinder.md","ref":"anomaly/changefinder.md","articles":[]},"dir":"ltr"},"config":{"plugins":["theme-api","edit-link","github","splitter","sitemap","etoc","callouts","toggle-chapters","anchorjs","codeblock-filename","expandable-chapters","multipart","codeblock-filename","katex","emphasize","localized-footer"],"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"pluginsConfig":{"emphasize":{},"callouts":{},"etoc":{"h2lb":3,"header":1,"maxdepth":3,"mindepth":1,"notoc":true},"github":{"u
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+ gitbook.page.hasChanged({"page":{"title":"Latent Dirichlet Allocation","level":"11.1","depth":1,"next":{"title":"Probabilistic Latent Semantic Analysis","level":"11.2","depth":1,"path":"clustering/plsa.md","ref":"clustering/plsa.md","articles":[]},"previous":{"title":"ChangeFinder: Detecting Outlier and Change-Point Simultaneously","level":"10.3","depth":1,"path":"anomaly/changefinder.md","ref":"anomaly/changefinder.md","articles":[]},"dir":"ltr"},"config":{"plugins":["theme-api","edit-link","github","splitter","sitemap","etoc","callouts","toggle-chapters","anchorjs","codeblock-filename","expandable-chapters","multipart","codeblock-filename","katex","emphasize","localized-footer"],"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"pluginsConfig":{"emphasize":{},"callouts":{},"etoc":{"h2lb":3,"header":1,"maxdepth":3,"mindepth":1,"notoc":true},"github":{"u
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});
</script>
</div>
[16/41] incubator-hivemall-site git commit: Added descriptions about
Feature Pairing in the user guide
Posted by my...@apache.org.
http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/ba518dab/userguide/recommend/movielens_cf.html
----------------------------------------------------------------------
diff --git a/userguide/recommend/movielens_cf.html b/userguide/recommend/movielens_cf.html
index 9c08790..abe6c37 100644
--- a/userguide/recommend/movielens_cf.html
+++ b/userguide/recommend/movielens_cf.html
@@ -598,14 +598,30 @@
</li>
- <li class="chapter " data-level="3.5" data-path="../ft_engineering/tfidf.html">
+ <li class="chapter " data-level="3.5" data-path="../ft_engineering/pairing.html">
- <a href="../ft_engineering/tfidf.html">
+ <a href="../ft_engineering/pairing.html">
<b>3.5.</b>
- TF-IDF Calculation
+ FEATURE PAIRING
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="3.5.1" data-path="../ft_engineering/polynomial.html">
+
+ <a href="../ft_engineering/polynomial.html">
+
+
+ <b>3.5.1.</b>
+
+ Polynomial Features
</a>
@@ -613,6 +629,11 @@
</li>
+
+ </ul>
+
+ </li>
+
<li class="chapter " data-level="3.6" data-path="../ft_engineering/ft_trans.html">
<a href="../ft_engineering/ft_trans.html">
@@ -664,6 +685,21 @@
</li>
+ <li class="chapter " data-level="3.7" data-path="../ft_engineering/tfidf.html">
+
+ <a href="../ft_engineering/tfidf.html">
+
+
+ <b>3.7.</b>
+
+ TF-IDF Calculation
+
+ </a>
+
+
+
+ </li>
+
@@ -761,7 +797,7 @@
- <li class="header">Part V - Prediction</li>
+ <li class="header">Part V - Supervised Learning</li>
@@ -780,27 +816,19 @@
</li>
- <li class="chapter " data-level="5.2" data-path="../regression/general.html">
-
- <a href="../regression/general.html">
-
-
- <b>5.2.</b>
-
- Regression
-
- </a>
-
-
- </li>
- <li class="chapter " data-level="5.3" data-path="../binaryclass/general.html">
+
+ <li class="header">Part VI - Binary classification</li>
+
+
+
+ <li class="chapter " data-level="6.1" data-path="../binaryclass/general.html">
<a href="../binaryclass/general.html">
- <b>5.3.</b>
+ <b>6.1.</b>
Binary Classification
@@ -810,21 +838,14 @@
</li>
-
-
-
- <li class="header">Part VI - Binary classification tutorials</li>
-
-
-
- <li class="chapter " data-level="6.1" data-path="../binaryclass/a9a.html">
+ <li class="chapter " data-level="6.2" data-path="../binaryclass/a9a.html">
<a href="../binaryclass/a9a.html">
- <b>6.1.</b>
+ <b>6.2.</b>
- a9a
+ a9a tutorial
</a>
@@ -833,12 +854,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.1.1" data-path="../binaryclass/a9a_dataset.html">
+ <li class="chapter " data-level="6.2.1" data-path="../binaryclass/a9a_dataset.html">
<a href="../binaryclass/a9a_dataset.html">
- <b>6.1.1.</b>
+ <b>6.2.1.</b>
Data preparation
@@ -848,12 +869,12 @@
</li>
- <li class="chapter " data-level="6.1.2" data-path="../binaryclass/a9a_lr.html">
+ <li class="chapter " data-level="6.2.2" data-path="../binaryclass/a9a_lr.html">
<a href="../binaryclass/a9a_lr.html">
- <b>6.1.2.</b>
+ <b>6.2.2.</b>
Logistic Regression
@@ -863,12 +884,12 @@
</li>
- <li class="chapter " data-level="6.1.3" data-path="../binaryclass/a9a_minibatch.html">
+ <li class="chapter " data-level="6.2.3" data-path="../binaryclass/a9a_minibatch.html">
<a href="../binaryclass/a9a_minibatch.html">
- <b>6.1.3.</b>
+ <b>6.2.3.</b>
Mini-batch Gradient Descent
@@ -883,14 +904,14 @@
</li>
- <li class="chapter " data-level="6.2" data-path="../binaryclass/news20.html">
+ <li class="chapter " data-level="6.3" data-path="../binaryclass/news20.html">
<a href="../binaryclass/news20.html">
- <b>6.2.</b>
+ <b>6.3.</b>
- News20
+ News20 tutorial
</a>
@@ -899,12 +920,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.2.1" data-path="../binaryclass/news20_dataset.html">
+ <li class="chapter " data-level="6.3.1" data-path="../binaryclass/news20_dataset.html">
<a href="../binaryclass/news20_dataset.html">
- <b>6.2.1.</b>
+ <b>6.3.1.</b>
Data preparation
@@ -914,12 +935,12 @@
</li>
- <li class="chapter " data-level="6.2.2" data-path="../binaryclass/news20_pa.html">
+ <li class="chapter " data-level="6.3.2" data-path="../binaryclass/news20_pa.html">
<a href="../binaryclass/news20_pa.html">
- <b>6.2.2.</b>
+ <b>6.3.2.</b>
Perceptron, Passive Aggressive
@@ -929,12 +950,12 @@
</li>
- <li class="chapter " data-level="6.2.3" data-path="../binaryclass/news20_scw.html">
+ <li class="chapter " data-level="6.3.3" data-path="../binaryclass/news20_scw.html">
<a href="../binaryclass/news20_scw.html">
- <b>6.2.3.</b>
+ <b>6.3.3.</b>
CW, AROW, SCW
@@ -944,12 +965,12 @@
</li>
- <li class="chapter " data-level="6.2.4" data-path="../binaryclass/news20_adagrad.html">
+ <li class="chapter " data-level="6.3.4" data-path="../binaryclass/news20_adagrad.html">
<a href="../binaryclass/news20_adagrad.html">
- <b>6.2.4.</b>
+ <b>6.3.4.</b>
AdaGradRDA, AdaGrad, AdaDelta
@@ -964,14 +985,14 @@
</li>
- <li class="chapter " data-level="6.3" data-path="../binaryclass/kdd2010a.html">
+ <li class="chapter " data-level="6.4" data-path="../binaryclass/kdd2010a.html">
<a href="../binaryclass/kdd2010a.html">
- <b>6.3.</b>
+ <b>6.4.</b>
- KDD2010a
+ KDD2010a tutorial
</a>
@@ -980,12 +1001,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.3.1" data-path="../binaryclass/kdd2010a_dataset.html">
+ <li class="chapter " data-level="6.4.1" data-path="../binaryclass/kdd2010a_dataset.html">
<a href="../binaryclass/kdd2010a_dataset.html">
- <b>6.3.1.</b>
+ <b>6.4.1.</b>
Data preparation
@@ -995,12 +1016,12 @@
</li>
- <li class="chapter " data-level="6.3.2" data-path="../binaryclass/kdd2010a_scw.html">
+ <li class="chapter " data-level="6.4.2" data-path="../binaryclass/kdd2010a_scw.html">
<a href="../binaryclass/kdd2010a_scw.html">
- <b>6.3.2.</b>
+ <b>6.4.2.</b>
PA, CW, AROW, SCW
@@ -1015,14 +1036,14 @@
</li>
- <li class="chapter " data-level="6.4" data-path="../binaryclass/kdd2010b.html">
+ <li class="chapter " data-level="6.5" data-path="../binaryclass/kdd2010b.html">
<a href="../binaryclass/kdd2010b.html">
- <b>6.4.</b>
+ <b>6.5.</b>
- KDD2010b
+ KDD2010b tutorial
</a>
@@ -1031,12 +1052,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.4.1" data-path="../binaryclass/kdd2010b_dataset.html">
+ <li class="chapter " data-level="6.5.1" data-path="../binaryclass/kdd2010b_dataset.html">
<a href="../binaryclass/kdd2010b_dataset.html">
- <b>6.4.1.</b>
+ <b>6.5.1.</b>
Data preparation
@@ -1046,12 +1067,12 @@
</li>
- <li class="chapter " data-level="6.4.2" data-path="../binaryclass/kdd2010b_arow.html">
+ <li class="chapter " data-level="6.5.2" data-path="../binaryclass/kdd2010b_arow.html">
<a href="../binaryclass/kdd2010b_arow.html">
- <b>6.4.2.</b>
+ <b>6.5.2.</b>
AROW
@@ -1066,14 +1087,14 @@
</li>
- <li class="chapter " data-level="6.5" data-path="../binaryclass/webspam.html">
+ <li class="chapter " data-level="6.6" data-path="../binaryclass/webspam.html">
<a href="../binaryclass/webspam.html">
- <b>6.5.</b>
+ <b>6.6.</b>
- Webspam
+ Webspam tutorial
</a>
@@ -1082,12 +1103,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.5.1" data-path="../binaryclass/webspam_dataset.html">
+ <li class="chapter " data-level="6.6.1" data-path="../binaryclass/webspam_dataset.html">
<a href="../binaryclass/webspam_dataset.html">
- <b>6.5.1.</b>
+ <b>6.6.1.</b>
Data pareparation
@@ -1097,12 +1118,12 @@
</li>
- <li class="chapter " data-level="6.5.2" data-path="../binaryclass/webspam_scw.html">
+ <li class="chapter " data-level="6.6.2" data-path="../binaryclass/webspam_scw.html">
<a href="../binaryclass/webspam_scw.html">
- <b>6.5.2.</b>
+ <b>6.6.2.</b>
PA1, AROW, SCW
@@ -1117,14 +1138,14 @@
</li>
- <li class="chapter " data-level="6.6" data-path="../binaryclass/titanic_rf.html">
+ <li class="chapter " data-level="6.7" data-path="../binaryclass/titanic_rf.html">
<a href="../binaryclass/titanic_rf.html">
- <b>6.6.</b>
+ <b>6.7.</b>
- Kaggle Titanic
+ Kaggle Titanic tutorial
</a>
@@ -1135,7 +1156,7 @@
- <li class="header">Part VII - Multiclass classification tutorials</li>
+ <li class="header">Part VII - Multiclass classification</li>
@@ -1146,7 +1167,7 @@
<b>7.1.</b>
- News20 Multiclass
+ News20 Multiclass tutorial
</a>
@@ -1257,7 +1278,7 @@
<b>7.2.</b>
- Iris
+ Iris tutorial
</a>
@@ -1319,18 +1340,33 @@
- <li class="header">Part VIII - Regression tutorials</li>
+ <li class="header">Part VIII - Regression</li>
- <li class="chapter " data-level="8.1" data-path="../regression/e2006.html">
+ <li class="chapter " data-level="8.1" data-path="../regression/general.html">
- <a href="../regression/e2006.html">
+ <a href="../regression/general.html">
<b>8.1.</b>
- E2006-tfidf regression
+ Regression
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="8.2" data-path="../regression/e2006.html">
+
+ <a href="../regression/e2006.html">
+
+
+ <b>8.2.</b>
+
+ E2006-tfidf regression tutorial
</a>
@@ -1339,12 +1375,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.1.1" data-path="../regression/e2006_dataset.html">
+ <li class="chapter " data-level="8.2.1" data-path="../regression/e2006_dataset.html">
<a href="../regression/e2006_dataset.html">
- <b>8.1.1.</b>
+ <b>8.2.1.</b>
Data preparation
@@ -1354,12 +1390,12 @@
</li>
- <li class="chapter " data-level="8.1.2" data-path="../regression/e2006_arow.html">
+ <li class="chapter " data-level="8.2.2" data-path="../regression/e2006_arow.html">
<a href="../regression/e2006_arow.html">
- <b>8.1.2.</b>
+ <b>8.2.2.</b>
Passive Aggressive, AROW
@@ -1374,14 +1410,14 @@
</li>
- <li class="chapter " data-level="8.2" data-path="../regression/kddcup12tr2.html">
+ <li class="chapter " data-level="8.3" data-path="../regression/kddcup12tr2.html">
<a href="../regression/kddcup12tr2.html">
- <b>8.2.</b>
+ <b>8.3.</b>
- KDDCup 2012 track 2 CTR prediction
+ KDDCup 2012 track 2 CTR prediction tutorial
</a>
@@ -1390,12 +1426,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.2.1" data-path="../regression/kddcup12tr2_dataset.html">
+ <li class="chapter " data-level="8.3.1" data-path="../regression/kddcup12tr2_dataset.html">
<a href="../regression/kddcup12tr2_dataset.html">
- <b>8.2.1.</b>
+ <b>8.3.1.</b>
Data preparation
@@ -1405,12 +1441,12 @@
</li>
- <li class="chapter " data-level="8.2.2" data-path="../regression/kddcup12tr2_lr.html">
+ <li class="chapter " data-level="8.3.2" data-path="../regression/kddcup12tr2_lr.html">
<a href="../regression/kddcup12tr2_lr.html">
- <b>8.2.2.</b>
+ <b>8.3.2.</b>
Logistic Regression, Passive Aggressive
@@ -1420,12 +1456,12 @@
</li>
- <li class="chapter " data-level="8.2.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
+ <li class="chapter " data-level="8.3.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
<a href="../regression/kddcup12tr2_lr_amplify.html">
- <b>8.2.3.</b>
+ <b>8.3.3.</b>
Logistic Regression with Amplifier
@@ -1435,12 +1471,12 @@
</li>
- <li class="chapter " data-level="8.2.4" data-path="../regression/kddcup12tr2_adagrad.html">
+ <li class="chapter " data-level="8.3.4" data-path="../regression/kddcup12tr2_adagrad.html">
<a href="../regression/kddcup12tr2_adagrad.html">
- <b>8.2.4.</b>
+ <b>8.3.4.</b>
AdaGrad, AdaDelta
@@ -2272,8 +2308,8 @@ topk <span class="hljs-keyword">as</span> (
<p>Theoretically, for the <span class="katex"><span class="katex-mathml"><math><semantics><mrow><mi>t</mi></mrow><annotation encoding="application/x-tex">t</annotation></semantics></math></span><span class="katex-html" aria-hidden="true"><span class="strut" style="height:0.61508em;"></span><span class="strut bottom" style="height:0.61508em;vertical-align:0em;"></span><span class="base textstyle uncramped"><span class="mord mathit">t</span></span></span></span>-th nearest-neighborhood item <span class="katex"><span class="katex-mathml"><math><semantics><mrow><mi>τ</mi><mo>(</mo><mi>t</mi><mo>)</mo></mrow><annotation encoding="application/x-tex">\tau(t)</annotation></semantics></math></span><span class="katex-html" aria-hidden="true"><span class="strut" style="height:0.75em;"></span><span class="strut bottom" style="height:1em;vertical-align:-0.25em;"></span><span class="base textstyle uncramped"><span class="mord mathit" style="margin-right:0.1132em;">τ</span><span class=
"mopen">(</span><span class="mord mathit">t</span><span class="mclose">)</span></span></span></span>, prediction can be done by top-<span class="katex"><span class="katex-mathml"><math><semantics><mrow><mi>k</mi></mrow><annotation encoding="application/x-tex">k</annotation></semantics></math></span><span class="katex-html" aria-hidden="true"><span class="strut" style="height:0.69444em;"></span><span class="strut bottom" style="height:0.69444em;vertical-align:0em;"></span><span class="base textstyle uncramped"><span class="mord mathit" style="margin-right:0.03148em;">k</span></span></span></span> weighted sum of target user's historical ratings:
<span class="katex-display"><span class="katex"><span class="katex-mathml"><math><semantics><mrow><msub><mi>r</mi><mrow><mi>u</mi><mo separator="true">,</mo><mi>i</mi></mrow></msub><mo>=</mo><mfrac><mrow><msubsup><mo>∑</mo><mrow><mi>t</mi><mo>=</mo><mn>1</mn></mrow><mi>k</mi></msubsup><msub><mi>s</mi><mrow><mi>i</mi><mo separator="true">,</mo><mi>τ</mi><mo>(</mo><mi>t</mi><mo>)</mo></mrow></msub><mo>⋅</mo><msub><mi>r</mi><mrow><mi>u</mi><mo separator="true">,</mo><mi>τ</mi><mo>(</mo><mi>t</mi><mo>)</mo></mrow></msub></mrow><mrow><msubsup><mo>∑</mo><mrow><mi>t</mi><mo>=</mo><mn>1</mn></mrow><mi>k</mi></msubsup><msub><mi>s</mi><mrow><mi>i</mi><mo separator="true">,</mo><mi>τ</mi><mo>(</mo><mi>t</mi><mo>)</mo></mrow></msub></mrow></mfrac><mo separator="true">,</mo></mrow><annotation encoding="application/x-tex">
r_{u,i} = \frac{\sum^k_{t=1} s_{i,\tau(t)} \cdot r_{u,\tau(t)} }{ \sum^k_{t=1} s_{i,\tau(t)} },
-</annotation></semantics></math></span><span class="katex-html" aria-hidden="true"><span class="strut" style="height:1.5953079999999997em;"></span><span class="strut bottom" style="height:2.6906159999999995em;vertical-align:-1.0953079999999997em;"></span><span class="base displaystyle textstyle uncramped"><span class="mord"><span class="mord mathit" style="margin-right:0.02778em;">r</span><span class="msupsub"><span class="vlist"><span style="top:0.15em;margin-right:0.05em;margin-left:-0.02778em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="reset-textstyle scriptstyle cramped mtight"><span class="mord scriptstyle cramped mtight"><span class="mord mathit mtight">u</span><span class="mpunct mtight">,</span><span class="mord mathit mtight">i</span></span></span></span><span class="baseline-fix"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span>​</span></span></s
pan></span><span class="mrel">=</span><span class="mord reset-textstyle displaystyle textstyle uncramped"><span class="mopen sizing reset-size5 size5 reset-textstyle textstyle uncramped nulldelimiter"></span><span class="mfrac"><span class="vlist"><span style="top:0.7401079999999998em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="reset-textstyle textstyle cramped"><span class="mord textstyle cramped"><span class="mop"><span class="mop op-symbol small-op" style="top:-0.0000050000000000050004em;">∑</span><span class="msupsub"><span class="vlist"><span style="top:0.30001em;margin-left:0em;margin-right:0.05em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="reset-textstyle scriptstyle cramped mtight"><span class="mord scriptstyle cramped mtight"><span class="mord mathit mtight">t</span><span class="mrel mtight">=</span><span class="mord mathrm mti
ght">1</span></span></span></span><span style="top:-0.364em;margin-right:0.05em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="reset-textstyle scriptstyle cramped mtight"><span class="mord mathit mtight" style="margin-right:0.03148em;">k</span></span></span><span class="baseline-fix"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span>​</span></span></span></span><span class="mord"><span class="mord mathit">s</span><span class="msupsub"><span class="vlist"><span style="top:0.18019999999999992em;margin-right:0.05em;margin-left:0em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="reset-textstyle scriptstyle cramped mtight"><span class="mord scriptstyle cramped mtight"><span class="mord mathit mtight">i</span><span class="mpunct mtight">,</span><span class="mord mathit mtight" style="margin-right:0.1
132em;">τ</span><span class="mopen mtight">(</span><span class="mord mathit mtight">t</span><span class="mclose mtight">)</span></span></span></span><span class="baseline-fix"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span>​</span></span></span></span></span></span></span><span style="top:-0.22999999999999998em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="reset-textstyle textstyle uncramped frac-line"></span></span><span style="top:-0.7451999999999999em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="reset-textstyle textstyle uncramped"><span class="mord textstyle uncramped"><span class="mop"><span class="mop op-symbol small-op" style="top:-0.0000050000000000050004em;">∑</span><span class="msupsub"><span class="vlist"><span style="top:0.30001em;margin-left:0em;margin-right:0.0
5em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="reset-textstyle scriptstyle cramped mtight"><span class="mord scriptstyle cramped mtight"><span class="mord mathit mtight">t</span><span class="mrel mtight">=</span><span class="mord mathrm mtight">1</span></span></span></span><span style="top:-0.364em;margin-right:0.05em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="reset-textstyle scriptstyle uncramped mtight"><span class="mord mathit mtight" style="margin-right:0.03148em;">k</span></span></span><span class="baseline-fix"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span>​</span></span></span></span><span class="mord"><span class="mord mathit">s</span><span class="msupsub"><span class="vlist"><span style="top:0.18019999999999992em;margin-right:0.05em;margin-left:0em;"><span class="fontsize-
ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="reset-textstyle scriptstyle cramped mtight"><span class="mord scriptstyle cramped mtight"><span class="mord mathit mtight">i</span><span class="mpunct mtight">,</span><span class="mord mathit mtight" style="margin-right:0.1132em;">τ</span><span class="mopen mtight">(</span><span class="mord mathit mtight">t</span><span class="mclose mtight">)</span></span></span></span><span class="baseline-fix"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span>​</span></span></span></span><span class="mbin">⋅</span><span class="mord"><span class="mord mathit" style="margin-right:0.02778em;">r</span><span class="msupsub"><span class="vlist"><span style="top:0.18019999999999992em;margin-right:0.05em;margin-left:-0.02778em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="reset-t
extstyle scriptstyle cramped mtight"><span class="mord scriptstyle cramped mtight"><span class="mord mathit mtight">u</span><span class="mpunct mtight">,</span><span class="mord mathit mtight" style="margin-right:0.1132em;">τ</span><span class="mopen mtight">(</span><span class="mord mathit mtight">t</span><span class="mclose mtight">)</span></span></span></span><span class="baseline-fix"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span>​</span></span></span></span></span></span></span><span class="baseline-fix"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span>​</span></span></span><span class="mclose sizing reset-size5 size5 reset-textstyle textstyle uncramped nulldelimiter"></span></span><span class="mpunct">,</span></span></span></span></span>
-where <span class="katex"><span class="katex-mathml"><math><semantics><mrow><msub><mi>r</mi><mrow><mi>u</mi><mo separator="true">,</mo><mi>i</mi></mrow></msub></mrow><annotation encoding="application/x-tex">r_{u,i}</annotation></semantics></math></span><span class="katex-html" aria-hidden="true"><span class="strut" style="height:0.43056em;"></span><span class="strut bottom" style="height:0.716668em;vertical-align:-0.286108em;"></span><span class="base textstyle uncramped"><span class="mord"><span class="mord mathit" style="margin-right:0.02778em;">r</span><span class="msupsub"><span class="vlist"><span style="top:0.15em;margin-right:0.05em;margin-left:-0.02778em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="reset-textstyle scriptstyle cramped mtight"><span class="mord scriptstyle cramped mtight"><span class="mord mathit mtight">u</span><span class="mpunct mtight">,</span><span class="mord mathit mtight">i</span></s
pan></span></span><span class="baseline-fix"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span>​</span></span></span></span></span></span></span> is user <span class="katex"><span class="katex-mathml"><math><semantics><mrow><mi>u</mi></mrow><annotation encoding="application/x-tex">u</annotation></semantics></math></span><span class="katex-html" aria-hidden="true"><span class="strut" style="height:0.43056em;"></span><span class="strut bottom" style="height:0.43056em;vertical-align:0em;"></span><span class="base textstyle uncramped"><span class="mord mathit">u</span></span></span></span>'s rating for item (movie) <span class="katex"><span class="katex-mathml"><math><semantics><mrow><mi>i</mi></mrow><annotation encoding="application/x-tex">i</annotation></semantics></math></span><span class="katex-html" aria-hidden="true"><span class="strut" style="height:0.65952em;"></span><span class="strut bottom" style="height:0.65952em;
vertical-align:0em;"></span><span class="base textstyle uncramped"><span class="mord mathit">i</span></span></span></span>, and <span class="katex"><span class="katex-mathml"><math><semantics><mrow><msub><mi>s</mi><mrow><mi>i</mi><mo separator="true">,</mo><mi>j</mi></mrow></msub></mrow><annotation encoding="application/x-tex">s_{i,j}</annotation></semantics></math></span><span class="katex-html" aria-hidden="true"><span class="strut" style="height:0.43056em;"></span><span class="strut bottom" style="height:0.716668em;vertical-align:-0.286108em;"></span><span class="base textstyle uncramped"><span class="mord"><span class="mord mathit">s</span><span class="msupsub"><span class="vlist"><span style="top:0.15em;margin-right:0.05em;margin-left:0em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="reset-textstyle scriptstyle cramped mtight"><span class="mord scriptstyle cramped mtight"><span class="mord mathit mtight">i</sp
an><span class="mpunct mtight">,</span><span class="mord mathit mtight" style="margin-right:0.05724em;">j</span></span></span></span><span class="baseline-fix"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span>​</span></span></span></span></span></span></span> is similarity of <span class="katex"><span class="katex-mathml"><math><semantics><mrow><mi>i</mi></mrow><annotation encoding="application/x-tex">i</annotation></semantics></math></span><span class="katex-html" aria-hidden="true"><span class="strut" style="height:0.65952em;"></span><span class="strut bottom" style="height:0.65952em;vertical-align:0em;"></span><span class="base textstyle uncramped"><span class="mord mathit">i</span></span></span></span>-<span class="katex"><span class="katex-mathml"><math><semantics><mrow><mi>j</mi></mrow><annotation encoding="application/x-tex">j</annotation></semantics></math></span><span class="katex-html" aria-hidden="true"><span class
="strut" style="height:0.65952em;"></span><span class="strut bottom" style="height:0.85396em;vertical-align:-0.19444em;"></span><span class="base textstyle uncramped"><span class="mord mathit" style="margin-right:0.05724em;">j</span></span></span></span> (<code>movieid</code>-<code>other</code>) pair.</p>
+</annotation></semantics></math></span><span class="katex-html" aria-hidden="true"><span class="strut" style="height:1.5953079999999997em;"></span><span class="strut bottom" style="height:2.6906159999999995em;vertical-align:-1.0953079999999997em;"></span><span class="base displaystyle textstyle uncramped"><span class="mord"><span class="mord mathit" style="margin-right:0.02778em;">r</span><span class="vlist"><span style="top:0.15em;margin-right:0.05em;margin-left:-0.02778em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="reset-textstyle scriptstyle cramped"><span class="mord scriptstyle cramped"><span class="mord mathit">u</span><span class="mpunct">,</span><span class="mord mathit">i</span></span></span></span><span class="baseline-fix"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span>​</span></span></span><span class="mrel">=</span><span class="mord reset-te
xtstyle displaystyle textstyle uncramped"><span class="sizing reset-size5 size5 reset-textstyle textstyle uncramped nulldelimiter"></span><span class="mfrac"><span class="vlist"><span style="top:0.7401079999999998em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="reset-textstyle textstyle cramped"><span class="mord textstyle cramped"><span class="mop"><span class="op-symbol small-op mop" style="top:-0.0000050000000000050004em;">∑</span><span class="vlist"><span style="top:0.30001em;margin-left:0em;margin-right:0.05em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="reset-textstyle scriptstyle cramped"><span class="mord scriptstyle cramped"><span class="mord mathit">t</span><span class="mrel">=</span><span class="mord mathrm">1</span></span></span></span><span style="top:-0.364em;margin-right:0.05em;"><span class="fontsize-ensurer reset-size5 siz
e5"><span style="font-size:0em;">​</span></span><span class="reset-textstyle scriptstyle cramped"><span class="mord mathit" style="margin-right:0.03148em;">k</span></span></span><span class="baseline-fix"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span>​</span></span></span><span class="mord"><span class="mord mathit">s</span><span class="vlist"><span style="top:0.18019999999999992em;margin-right:0.05em;margin-left:0em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="reset-textstyle scriptstyle cramped"><span class="mord scriptstyle cramped"><span class="mord mathit">i</span><span class="mpunct">,</span><span class="mord mathit" style="margin-right:0.1132em;">τ</span><span class="mopen">(</span><span class="mord mathit">t</span><span class="mclose">)</span></span></span></span><span class="baseline-fix"><span class="fontsize-ensurer reset-size5 si
ze5"><span style="font-size:0em;">​</span></span>​</span></span></span></span></span></span><span style="top:-0.22999999999999998em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="reset-textstyle textstyle uncramped frac-line"></span></span><span style="top:-0.7451999999999999em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="reset-textstyle textstyle uncramped"><span class="mord textstyle uncramped"><span class="mop"><span class="op-symbol small-op mop" style="top:-0.0000050000000000050004em;">∑</span><span class="vlist"><span style="top:0.30001em;margin-left:0em;margin-right:0.05em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="reset-textstyle scriptstyle cramped"><span class="mord scriptstyle cramped"><span class="mord mathit">t</span><span class="mrel">=</span
><span class="mord mathrm">1</span></span></span></span><span style="top:-0.364em;margin-right:0.05em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="reset-textstyle scriptstyle uncramped"><span class="mord mathit" style="margin-right:0.03148em;">k</span></span></span><span class="baseline-fix"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span>​</span></span></span><span class="mord"><span class="mord mathit">s</span><span class="vlist"><span style="top:0.18019999999999992em;margin-right:0.05em;margin-left:0em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="reset-textstyle scriptstyle cramped"><span class="mord scriptstyle cramped"><span class="mord mathit">i</span><span class="mpunct">,</span><span class="mord mathit" style="margin-right:0.1132em;">τ</span><span class="mopen">(</span><spa
n class="mord mathit">t</span><span class="mclose">)</span></span></span></span><span class="baseline-fix"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span>​</span></span></span><span class="mbin">⋅</span><span class="mord"><span class="mord mathit" style="margin-right:0.02778em;">r</span><span class="vlist"><span style="top:0.18019999999999992em;margin-right:0.05em;margin-left:-0.02778em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="reset-textstyle scriptstyle cramped"><span class="mord scriptstyle cramped"><span class="mord mathit">u</span><span class="mpunct">,</span><span class="mord mathit" style="margin-right:0.1132em;">τ</span><span class="mopen">(</span><span class="mord mathit">t</span><span class="mclose">)</span></span></span></span><span class="baseline-fix"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;
">​</span></span>​</span></span></span></span></span></span><span class="baseline-fix"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span>​</span></span></span><span class="sizing reset-size5 size5 reset-textstyle textstyle uncramped nulldelimiter"></span></span><span class="mpunct">,</span></span></span></span></span>
+where <span class="katex"><span class="katex-mathml"><math><semantics><mrow><msub><mi>r</mi><mrow><mi>u</mi><mo separator="true">,</mo><mi>i</mi></mrow></msub></mrow><annotation encoding="application/x-tex">r_{u,i}</annotation></semantics></math></span><span class="katex-html" aria-hidden="true"><span class="strut" style="height:0.43056em;"></span><span class="strut bottom" style="height:0.716668em;vertical-align:-0.286108em;"></span><span class="base textstyle uncramped"><span class="mord"><span class="mord mathit" style="margin-right:0.02778em;">r</span><span class="vlist"><span style="top:0.15em;margin-right:0.05em;margin-left:-0.02778em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="reset-textstyle scriptstyle cramped"><span class="mord scriptstyle cramped"><span class="mord mathit">u</span><span class="mpunct">,</span><span class="mord mathit">i</span></span></span></span><span class="baseline-fix"><span class=
"fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span>​</span></span></span></span></span></span> is user <span class="katex"><span class="katex-mathml"><math><semantics><mrow><mi>u</mi></mrow><annotation encoding="application/x-tex">u</annotation></semantics></math></span><span class="katex-html" aria-hidden="true"><span class="strut" style="height:0.43056em;"></span><span class="strut bottom" style="height:0.43056em;vertical-align:0em;"></span><span class="base textstyle uncramped"><span class="mord mathit">u</span></span></span></span>'s rating for item (movie) <span class="katex"><span class="katex-mathml"><math><semantics><mrow><mi>i</mi></mrow><annotation encoding="application/x-tex">i</annotation></semantics></math></span><span class="katex-html" aria-hidden="true"><span class="strut" style="height:0.65952em;"></span><span class="strut bottom" style="height:0.65952em;vertical-align:0em;"></span><span class="base textstyle uncrampe
d"><span class="mord mathit">i</span></span></span></span>, and <span class="katex"><span class="katex-mathml"><math><semantics><mrow><msub><mi>s</mi><mrow><mi>i</mi><mo separator="true">,</mo><mi>j</mi></mrow></msub></mrow><annotation encoding="application/x-tex">s_{i,j}</annotation></semantics></math></span><span class="katex-html" aria-hidden="true"><span class="strut" style="height:0.43056em;"></span><span class="strut bottom" style="height:0.716668em;vertical-align:-0.286108em;"></span><span class="base textstyle uncramped"><span class="mord"><span class="mord mathit">s</span><span class="vlist"><span style="top:0.15em;margin-right:0.05em;margin-left:0em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="reset-textstyle scriptstyle cramped"><span class="mord scriptstyle cramped"><span class="mord mathit">i</span><span class="mpunct">,</span><span class="mord mathit" style="margin-right:0.05724em;">j</span></span></
span></span><span class="baseline-fix"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span>​</span></span></span></span></span></span> is similarity of <span class="katex"><span class="katex-mathml"><math><semantics><mrow><mi>i</mi></mrow><annotation encoding="application/x-tex">i</annotation></semantics></math></span><span class="katex-html" aria-hidden="true"><span class="strut" style="height:0.65952em;"></span><span class="strut bottom" style="height:0.65952em;vertical-align:0em;"></span><span class="base textstyle uncramped"><span class="mord mathit">i</span></span></span></span>-<span class="katex"><span class="katex-mathml"><math><semantics><mrow><mi>j</mi></mrow><annotation encoding="application/x-tex">j</annotation></semantics></math></span><span class="katex-html" aria-hidden="true"><span class="strut" style="height:0.65952em;"></span><span class="strut bottom" style="height:0.85396em;vertical-align:-0.19444em;"></span>
<span class="base textstyle uncramped"><span class="mord mathit" style="margin-right:0.05724em;">j</span></span></span></span> (<code>movieid</code>-<code>other</code>) pair.</p>
<div class="panel panel-warning"><div class="panel-heading"><h3 class="panel-title" id="caution"><i class="fa fa-exclamation-triangle"></i> Caution</h3></div><div class="panel-body"><p>Since the number of similarities and users' past ratings are limited, we cannot say this output <strong>always</strong> contains prediction for <strong>every</strong> unforeseen user-item pairs; sometimes prediction for a specific user-item pair might be missing (i.e., <code>NULL</code>).</p></div></div>
<p>In fact, our goal is to make recommendation, but we can evaluate the intermediate result as a rating prediction problem:</p>
<pre><code class="lang-sql"><span class="hljs-keyword">select</span>
@@ -2468,7 +2504,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
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----------------------------------------------------------------------
diff --git a/userguide/recommend/movielens_cv.html b/userguide/recommend/movielens_cv.html
index cd496c7..75d03f7 100644
--- a/userguide/recommend/movielens_cv.html
+++ b/userguide/recommend/movielens_cv.html
@@ -598,14 +598,30 @@
</li>
- <li class="chapter " data-level="3.5" data-path="../ft_engineering/tfidf.html">
+ <li class="chapter " data-level="3.5" data-path="../ft_engineering/pairing.html">
- <a href="../ft_engineering/tfidf.html">
+ <a href="../ft_engineering/pairing.html">
<b>3.5.</b>
- TF-IDF Calculation
+ FEATURE PAIRING
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="3.5.1" data-path="../ft_engineering/polynomial.html">
+
+ <a href="../ft_engineering/polynomial.html">
+
+
+ <b>3.5.1.</b>
+
+ Polynomial Features
</a>
@@ -613,6 +629,11 @@
</li>
+
+ </ul>
+
+ </li>
+
<li class="chapter " data-level="3.6" data-path="../ft_engineering/ft_trans.html">
<a href="../ft_engineering/ft_trans.html">
@@ -664,6 +685,21 @@
</li>
+ <li class="chapter " data-level="3.7" data-path="../ft_engineering/tfidf.html">
+
+ <a href="../ft_engineering/tfidf.html">
+
+
+ <b>3.7.</b>
+
+ TF-IDF Calculation
+
+ </a>
+
+
+
+ </li>
+
@@ -761,7 +797,7 @@
- <li class="header">Part V - Prediction</li>
+ <li class="header">Part V - Supervised Learning</li>
@@ -780,27 +816,19 @@
</li>
- <li class="chapter " data-level="5.2" data-path="../regression/general.html">
-
- <a href="../regression/general.html">
-
-
- <b>5.2.</b>
-
- Regression
-
- </a>
-
-
- </li>
- <li class="chapter " data-level="5.3" data-path="../binaryclass/general.html">
+
+ <li class="header">Part VI - Binary classification</li>
+
+
+
+ <li class="chapter " data-level="6.1" data-path="../binaryclass/general.html">
<a href="../binaryclass/general.html">
- <b>5.3.</b>
+ <b>6.1.</b>
Binary Classification
@@ -810,21 +838,14 @@
</li>
-
-
-
- <li class="header">Part VI - Binary classification tutorials</li>
-
-
-
- <li class="chapter " data-level="6.1" data-path="../binaryclass/a9a.html">
+ <li class="chapter " data-level="6.2" data-path="../binaryclass/a9a.html">
<a href="../binaryclass/a9a.html">
- <b>6.1.</b>
+ <b>6.2.</b>
- a9a
+ a9a tutorial
</a>
@@ -833,12 +854,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.1.1" data-path="../binaryclass/a9a_dataset.html">
+ <li class="chapter " data-level="6.2.1" data-path="../binaryclass/a9a_dataset.html">
<a href="../binaryclass/a9a_dataset.html">
- <b>6.1.1.</b>
+ <b>6.2.1.</b>
Data preparation
@@ -848,12 +869,12 @@
</li>
- <li class="chapter " data-level="6.1.2" data-path="../binaryclass/a9a_lr.html">
+ <li class="chapter " data-level="6.2.2" data-path="../binaryclass/a9a_lr.html">
<a href="../binaryclass/a9a_lr.html">
- <b>6.1.2.</b>
+ <b>6.2.2.</b>
Logistic Regression
@@ -863,12 +884,12 @@
</li>
- <li class="chapter " data-level="6.1.3" data-path="../binaryclass/a9a_minibatch.html">
+ <li class="chapter " data-level="6.2.3" data-path="../binaryclass/a9a_minibatch.html">
<a href="../binaryclass/a9a_minibatch.html">
- <b>6.1.3.</b>
+ <b>6.2.3.</b>
Mini-batch Gradient Descent
@@ -883,14 +904,14 @@
</li>
- <li class="chapter " data-level="6.2" data-path="../binaryclass/news20.html">
+ <li class="chapter " data-level="6.3" data-path="../binaryclass/news20.html">
<a href="../binaryclass/news20.html">
- <b>6.2.</b>
+ <b>6.3.</b>
- News20
+ News20 tutorial
</a>
@@ -899,12 +920,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.2.1" data-path="../binaryclass/news20_dataset.html">
+ <li class="chapter " data-level="6.3.1" data-path="../binaryclass/news20_dataset.html">
<a href="../binaryclass/news20_dataset.html">
- <b>6.2.1.</b>
+ <b>6.3.1.</b>
Data preparation
@@ -914,12 +935,12 @@
</li>
- <li class="chapter " data-level="6.2.2" data-path="../binaryclass/news20_pa.html">
+ <li class="chapter " data-level="6.3.2" data-path="../binaryclass/news20_pa.html">
<a href="../binaryclass/news20_pa.html">
- <b>6.2.2.</b>
+ <b>6.3.2.</b>
Perceptron, Passive Aggressive
@@ -929,12 +950,12 @@
</li>
- <li class="chapter " data-level="6.2.3" data-path="../binaryclass/news20_scw.html">
+ <li class="chapter " data-level="6.3.3" data-path="../binaryclass/news20_scw.html">
<a href="../binaryclass/news20_scw.html">
- <b>6.2.3.</b>
+ <b>6.3.3.</b>
CW, AROW, SCW
@@ -944,12 +965,12 @@
</li>
- <li class="chapter " data-level="6.2.4" data-path="../binaryclass/news20_adagrad.html">
+ <li class="chapter " data-level="6.3.4" data-path="../binaryclass/news20_adagrad.html">
<a href="../binaryclass/news20_adagrad.html">
- <b>6.2.4.</b>
+ <b>6.3.4.</b>
AdaGradRDA, AdaGrad, AdaDelta
@@ -964,14 +985,14 @@
</li>
- <li class="chapter " data-level="6.3" data-path="../binaryclass/kdd2010a.html">
+ <li class="chapter " data-level="6.4" data-path="../binaryclass/kdd2010a.html">
<a href="../binaryclass/kdd2010a.html">
- <b>6.3.</b>
+ <b>6.4.</b>
- KDD2010a
+ KDD2010a tutorial
</a>
@@ -980,12 +1001,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.3.1" data-path="../binaryclass/kdd2010a_dataset.html">
+ <li class="chapter " data-level="6.4.1" data-path="../binaryclass/kdd2010a_dataset.html">
<a href="../binaryclass/kdd2010a_dataset.html">
- <b>6.3.1.</b>
+ <b>6.4.1.</b>
Data preparation
@@ -995,12 +1016,12 @@
</li>
- <li class="chapter " data-level="6.3.2" data-path="../binaryclass/kdd2010a_scw.html">
+ <li class="chapter " data-level="6.4.2" data-path="../binaryclass/kdd2010a_scw.html">
<a href="../binaryclass/kdd2010a_scw.html">
- <b>6.3.2.</b>
+ <b>6.4.2.</b>
PA, CW, AROW, SCW
@@ -1015,14 +1036,14 @@
</li>
- <li class="chapter " data-level="6.4" data-path="../binaryclass/kdd2010b.html">
+ <li class="chapter " data-level="6.5" data-path="../binaryclass/kdd2010b.html">
<a href="../binaryclass/kdd2010b.html">
- <b>6.4.</b>
+ <b>6.5.</b>
- KDD2010b
+ KDD2010b tutorial
</a>
@@ -1031,12 +1052,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.4.1" data-path="../binaryclass/kdd2010b_dataset.html">
+ <li class="chapter " data-level="6.5.1" data-path="../binaryclass/kdd2010b_dataset.html">
<a href="../binaryclass/kdd2010b_dataset.html">
- <b>6.4.1.</b>
+ <b>6.5.1.</b>
Data preparation
@@ -1046,12 +1067,12 @@
</li>
- <li class="chapter " data-level="6.4.2" data-path="../binaryclass/kdd2010b_arow.html">
+ <li class="chapter " data-level="6.5.2" data-path="../binaryclass/kdd2010b_arow.html">
<a href="../binaryclass/kdd2010b_arow.html">
- <b>6.4.2.</b>
+ <b>6.5.2.</b>
AROW
@@ -1066,14 +1087,14 @@
</li>
- <li class="chapter " data-level="6.5" data-path="../binaryclass/webspam.html">
+ <li class="chapter " data-level="6.6" data-path="../binaryclass/webspam.html">
<a href="../binaryclass/webspam.html">
- <b>6.5.</b>
+ <b>6.6.</b>
- Webspam
+ Webspam tutorial
</a>
@@ -1082,12 +1103,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.5.1" data-path="../binaryclass/webspam_dataset.html">
+ <li class="chapter " data-level="6.6.1" data-path="../binaryclass/webspam_dataset.html">
<a href="../binaryclass/webspam_dataset.html">
- <b>6.5.1.</b>
+ <b>6.6.1.</b>
Data pareparation
@@ -1097,12 +1118,12 @@
</li>
- <li class="chapter " data-level="6.5.2" data-path="../binaryclass/webspam_scw.html">
+ <li class="chapter " data-level="6.6.2" data-path="../binaryclass/webspam_scw.html">
<a href="../binaryclass/webspam_scw.html">
- <b>6.5.2.</b>
+ <b>6.6.2.</b>
PA1, AROW, SCW
@@ -1117,14 +1138,14 @@
</li>
- <li class="chapter " data-level="6.6" data-path="../binaryclass/titanic_rf.html">
+ <li class="chapter " data-level="6.7" data-path="../binaryclass/titanic_rf.html">
<a href="../binaryclass/titanic_rf.html">
- <b>6.6.</b>
+ <b>6.7.</b>
- Kaggle Titanic
+ Kaggle Titanic tutorial
</a>
@@ -1135,7 +1156,7 @@
- <li class="header">Part VII - Multiclass classification tutorials</li>
+ <li class="header">Part VII - Multiclass classification</li>
@@ -1146,7 +1167,7 @@
<b>7.1.</b>
- News20 Multiclass
+ News20 Multiclass tutorial
</a>
@@ -1257,7 +1278,7 @@
<b>7.2.</b>
- Iris
+ Iris tutorial
</a>
@@ -1319,18 +1340,33 @@
- <li class="header">Part VIII - Regression tutorials</li>
+ <li class="header">Part VIII - Regression</li>
- <li class="chapter " data-level="8.1" data-path="../regression/e2006.html">
+ <li class="chapter " data-level="8.1" data-path="../regression/general.html">
- <a href="../regression/e2006.html">
+ <a href="../regression/general.html">
<b>8.1.</b>
- E2006-tfidf regression
+ Regression
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="8.2" data-path="../regression/e2006.html">
+
+ <a href="../regression/e2006.html">
+
+
+ <b>8.2.</b>
+
+ E2006-tfidf regression tutorial
</a>
@@ -1339,12 +1375,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.1.1" data-path="../regression/e2006_dataset.html">
+ <li class="chapter " data-level="8.2.1" data-path="../regression/e2006_dataset.html">
<a href="../regression/e2006_dataset.html">
- <b>8.1.1.</b>
+ <b>8.2.1.</b>
Data preparation
@@ -1354,12 +1390,12 @@
</li>
- <li class="chapter " data-level="8.1.2" data-path="../regression/e2006_arow.html">
+ <li class="chapter " data-level="8.2.2" data-path="../regression/e2006_arow.html">
<a href="../regression/e2006_arow.html">
- <b>8.1.2.</b>
+ <b>8.2.2.</b>
Passive Aggressive, AROW
@@ -1374,14 +1410,14 @@
</li>
- <li class="chapter " data-level="8.2" data-path="../regression/kddcup12tr2.html">
+ <li class="chapter " data-level="8.3" data-path="../regression/kddcup12tr2.html">
<a href="../regression/kddcup12tr2.html">
- <b>8.2.</b>
+ <b>8.3.</b>
- KDDCup 2012 track 2 CTR prediction
+ KDDCup 2012 track 2 CTR prediction tutorial
</a>
@@ -1390,12 +1426,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.2.1" data-path="../regression/kddcup12tr2_dataset.html">
+ <li class="chapter " data-level="8.3.1" data-path="../regression/kddcup12tr2_dataset.html">
<a href="../regression/kddcup12tr2_dataset.html">
- <b>8.2.1.</b>
+ <b>8.3.1.</b>
Data preparation
@@ -1405,12 +1441,12 @@
</li>
- <li class="chapter " data-level="8.2.2" data-path="../regression/kddcup12tr2_lr.html">
+ <li class="chapter " data-level="8.3.2" data-path="../regression/kddcup12tr2_lr.html">
<a href="../regression/kddcup12tr2_lr.html">
- <b>8.2.2.</b>
+ <b>8.3.2.</b>
Logistic Regression, Passive Aggressive
@@ -1420,12 +1456,12 @@
</li>
- <li class="chapter " data-level="8.2.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
+ <li class="chapter " data-level="8.3.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
<a href="../regression/kddcup12tr2_lr_amplify.html">
- <b>8.2.3.</b>
+ <b>8.3.3.</b>
Logistic Regression with Amplifier
@@ -1435,12 +1471,12 @@
</li>
- <li class="chapter " data-level="8.2.4" data-path="../regression/kddcup12tr2_adagrad.html">
+ <li class="chapter " data-level="8.3.4" data-path="../regression/kddcup12tr2_adagrad.html">
<a href="../regression/kddcup12tr2_adagrad.html">
- <b>8.2.4.</b>
+ <b>8.3.4.</b>
AdaGrad, AdaDelta
@@ -2180,7 +2216,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
<script>
var gitbook = gitbook || [];
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</div>
[12/41] incubator-hivemall-site git commit: Added descriptions about
Feature Pairing in the user guide
Posted by my...@apache.org.
http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/ba518dab/userguide/regression/e2006_dataset.html
----------------------------------------------------------------------
diff --git a/userguide/regression/e2006_dataset.html b/userguide/regression/e2006_dataset.html
index d9a422a..4bb2fac 100644
--- a/userguide/regression/e2006_dataset.html
+++ b/userguide/regression/e2006_dataset.html
@@ -598,14 +598,30 @@
</li>
- <li class="chapter " data-level="3.5" data-path="../ft_engineering/tfidf.html">
+ <li class="chapter " data-level="3.5" data-path="../ft_engineering/pairing.html">
- <a href="../ft_engineering/tfidf.html">
+ <a href="../ft_engineering/pairing.html">
<b>3.5.</b>
- TF-IDF Calculation
+ FEATURE PAIRING
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="3.5.1" data-path="../ft_engineering/polynomial.html">
+
+ <a href="../ft_engineering/polynomial.html">
+
+
+ <b>3.5.1.</b>
+
+ Polynomial Features
</a>
@@ -613,6 +629,11 @@
</li>
+
+ </ul>
+
+ </li>
+
<li class="chapter " data-level="3.6" data-path="../ft_engineering/ft_trans.html">
<a href="../ft_engineering/ft_trans.html">
@@ -664,6 +685,21 @@
</li>
+ <li class="chapter " data-level="3.7" data-path="../ft_engineering/tfidf.html">
+
+ <a href="../ft_engineering/tfidf.html">
+
+
+ <b>3.7.</b>
+
+ TF-IDF Calculation
+
+ </a>
+
+
+
+ </li>
+
@@ -761,7 +797,7 @@
- <li class="header">Part V - Prediction</li>
+ <li class="header">Part V - Supervised Learning</li>
@@ -780,27 +816,19 @@
</li>
- <li class="chapter " data-level="5.2" data-path="general.html">
-
- <a href="general.html">
-
-
- <b>5.2.</b>
-
- Regression
-
- </a>
-
-
- </li>
- <li class="chapter " data-level="5.3" data-path="../binaryclass/general.html">
+
+ <li class="header">Part VI - Binary classification</li>
+
+
+
+ <li class="chapter " data-level="6.1" data-path="../binaryclass/general.html">
<a href="../binaryclass/general.html">
- <b>5.3.</b>
+ <b>6.1.</b>
Binary Classification
@@ -810,21 +838,14 @@
</li>
-
-
-
- <li class="header">Part VI - Binary classification tutorials</li>
-
-
-
- <li class="chapter " data-level="6.1" data-path="../binaryclass/a9a.html">
+ <li class="chapter " data-level="6.2" data-path="../binaryclass/a9a.html">
<a href="../binaryclass/a9a.html">
- <b>6.1.</b>
+ <b>6.2.</b>
- a9a
+ a9a tutorial
</a>
@@ -833,12 +854,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.1.1" data-path="../binaryclass/a9a_dataset.html">
+ <li class="chapter " data-level="6.2.1" data-path="../binaryclass/a9a_dataset.html">
<a href="../binaryclass/a9a_dataset.html">
- <b>6.1.1.</b>
+ <b>6.2.1.</b>
Data preparation
@@ -848,12 +869,12 @@
</li>
- <li class="chapter " data-level="6.1.2" data-path="../binaryclass/a9a_lr.html">
+ <li class="chapter " data-level="6.2.2" data-path="../binaryclass/a9a_lr.html">
<a href="../binaryclass/a9a_lr.html">
- <b>6.1.2.</b>
+ <b>6.2.2.</b>
Logistic Regression
@@ -863,12 +884,12 @@
</li>
- <li class="chapter " data-level="6.1.3" data-path="../binaryclass/a9a_minibatch.html">
+ <li class="chapter " data-level="6.2.3" data-path="../binaryclass/a9a_minibatch.html">
<a href="../binaryclass/a9a_minibatch.html">
- <b>6.1.3.</b>
+ <b>6.2.3.</b>
Mini-batch Gradient Descent
@@ -883,14 +904,14 @@
</li>
- <li class="chapter " data-level="6.2" data-path="../binaryclass/news20.html">
+ <li class="chapter " data-level="6.3" data-path="../binaryclass/news20.html">
<a href="../binaryclass/news20.html">
- <b>6.2.</b>
+ <b>6.3.</b>
- News20
+ News20 tutorial
</a>
@@ -899,12 +920,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.2.1" data-path="../binaryclass/news20_dataset.html">
+ <li class="chapter " data-level="6.3.1" data-path="../binaryclass/news20_dataset.html">
<a href="../binaryclass/news20_dataset.html">
- <b>6.2.1.</b>
+ <b>6.3.1.</b>
Data preparation
@@ -914,12 +935,12 @@
</li>
- <li class="chapter " data-level="6.2.2" data-path="../binaryclass/news20_pa.html">
+ <li class="chapter " data-level="6.3.2" data-path="../binaryclass/news20_pa.html">
<a href="../binaryclass/news20_pa.html">
- <b>6.2.2.</b>
+ <b>6.3.2.</b>
Perceptron, Passive Aggressive
@@ -929,12 +950,12 @@
</li>
- <li class="chapter " data-level="6.2.3" data-path="../binaryclass/news20_scw.html">
+ <li class="chapter " data-level="6.3.3" data-path="../binaryclass/news20_scw.html">
<a href="../binaryclass/news20_scw.html">
- <b>6.2.3.</b>
+ <b>6.3.3.</b>
CW, AROW, SCW
@@ -944,12 +965,12 @@
</li>
- <li class="chapter " data-level="6.2.4" data-path="../binaryclass/news20_adagrad.html">
+ <li class="chapter " data-level="6.3.4" data-path="../binaryclass/news20_adagrad.html">
<a href="../binaryclass/news20_adagrad.html">
- <b>6.2.4.</b>
+ <b>6.3.4.</b>
AdaGradRDA, AdaGrad, AdaDelta
@@ -964,14 +985,14 @@
</li>
- <li class="chapter " data-level="6.3" data-path="../binaryclass/kdd2010a.html">
+ <li class="chapter " data-level="6.4" data-path="../binaryclass/kdd2010a.html">
<a href="../binaryclass/kdd2010a.html">
- <b>6.3.</b>
+ <b>6.4.</b>
- KDD2010a
+ KDD2010a tutorial
</a>
@@ -980,12 +1001,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.3.1" data-path="../binaryclass/kdd2010a_dataset.html">
+ <li class="chapter " data-level="6.4.1" data-path="../binaryclass/kdd2010a_dataset.html">
<a href="../binaryclass/kdd2010a_dataset.html">
- <b>6.3.1.</b>
+ <b>6.4.1.</b>
Data preparation
@@ -995,12 +1016,12 @@
</li>
- <li class="chapter " data-level="6.3.2" data-path="../binaryclass/kdd2010a_scw.html">
+ <li class="chapter " data-level="6.4.2" data-path="../binaryclass/kdd2010a_scw.html">
<a href="../binaryclass/kdd2010a_scw.html">
- <b>6.3.2.</b>
+ <b>6.4.2.</b>
PA, CW, AROW, SCW
@@ -1015,14 +1036,14 @@
</li>
- <li class="chapter " data-level="6.4" data-path="../binaryclass/kdd2010b.html">
+ <li class="chapter " data-level="6.5" data-path="../binaryclass/kdd2010b.html">
<a href="../binaryclass/kdd2010b.html">
- <b>6.4.</b>
+ <b>6.5.</b>
- KDD2010b
+ KDD2010b tutorial
</a>
@@ -1031,12 +1052,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.4.1" data-path="../binaryclass/kdd2010b_dataset.html">
+ <li class="chapter " data-level="6.5.1" data-path="../binaryclass/kdd2010b_dataset.html">
<a href="../binaryclass/kdd2010b_dataset.html">
- <b>6.4.1.</b>
+ <b>6.5.1.</b>
Data preparation
@@ -1046,12 +1067,12 @@
</li>
- <li class="chapter " data-level="6.4.2" data-path="../binaryclass/kdd2010b_arow.html">
+ <li class="chapter " data-level="6.5.2" data-path="../binaryclass/kdd2010b_arow.html">
<a href="../binaryclass/kdd2010b_arow.html">
- <b>6.4.2.</b>
+ <b>6.5.2.</b>
AROW
@@ -1066,14 +1087,14 @@
</li>
- <li class="chapter " data-level="6.5" data-path="../binaryclass/webspam.html">
+ <li class="chapter " data-level="6.6" data-path="../binaryclass/webspam.html">
<a href="../binaryclass/webspam.html">
- <b>6.5.</b>
+ <b>6.6.</b>
- Webspam
+ Webspam tutorial
</a>
@@ -1082,12 +1103,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.5.1" data-path="../binaryclass/webspam_dataset.html">
+ <li class="chapter " data-level="6.6.1" data-path="../binaryclass/webspam_dataset.html">
<a href="../binaryclass/webspam_dataset.html">
- <b>6.5.1.</b>
+ <b>6.6.1.</b>
Data pareparation
@@ -1097,12 +1118,12 @@
</li>
- <li class="chapter " data-level="6.5.2" data-path="../binaryclass/webspam_scw.html">
+ <li class="chapter " data-level="6.6.2" data-path="../binaryclass/webspam_scw.html">
<a href="../binaryclass/webspam_scw.html">
- <b>6.5.2.</b>
+ <b>6.6.2.</b>
PA1, AROW, SCW
@@ -1117,14 +1138,14 @@
</li>
- <li class="chapter " data-level="6.6" data-path="../binaryclass/titanic_rf.html">
+ <li class="chapter " data-level="6.7" data-path="../binaryclass/titanic_rf.html">
<a href="../binaryclass/titanic_rf.html">
- <b>6.6.</b>
+ <b>6.7.</b>
- Kaggle Titanic
+ Kaggle Titanic tutorial
</a>
@@ -1135,7 +1156,7 @@
- <li class="header">Part VII - Multiclass classification tutorials</li>
+ <li class="header">Part VII - Multiclass classification</li>
@@ -1146,7 +1167,7 @@
<b>7.1.</b>
- News20 Multiclass
+ News20 Multiclass tutorial
</a>
@@ -1257,7 +1278,7 @@
<b>7.2.</b>
- Iris
+ Iris tutorial
</a>
@@ -1319,18 +1340,33 @@
- <li class="header">Part VIII - Regression tutorials</li>
+ <li class="header">Part VIII - Regression</li>
- <li class="chapter " data-level="8.1" data-path="e2006.html">
+ <li class="chapter " data-level="8.1" data-path="general.html">
- <a href="e2006.html">
+ <a href="general.html">
<b>8.1.</b>
- E2006-tfidf regression
+ Regression
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="8.2" data-path="e2006.html">
+
+ <a href="e2006.html">
+
+
+ <b>8.2.</b>
+
+ E2006-tfidf regression tutorial
</a>
@@ -1339,12 +1375,12 @@
<ul class="articles">
- <li class="chapter active" data-level="8.1.1" data-path="e2006_dataset.html">
+ <li class="chapter active" data-level="8.2.1" data-path="e2006_dataset.html">
<a href="e2006_dataset.html">
- <b>8.1.1.</b>
+ <b>8.2.1.</b>
Data preparation
@@ -1354,12 +1390,12 @@
</li>
- <li class="chapter " data-level="8.1.2" data-path="e2006_arow.html">
+ <li class="chapter " data-level="8.2.2" data-path="e2006_arow.html">
<a href="e2006_arow.html">
- <b>8.1.2.</b>
+ <b>8.2.2.</b>
Passive Aggressive, AROW
@@ -1374,14 +1410,14 @@
</li>
- <li class="chapter " data-level="8.2" data-path="kddcup12tr2.html">
+ <li class="chapter " data-level="8.3" data-path="kddcup12tr2.html">
<a href="kddcup12tr2.html">
- <b>8.2.</b>
+ <b>8.3.</b>
- KDDCup 2012 track 2 CTR prediction
+ KDDCup 2012 track 2 CTR prediction tutorial
</a>
@@ -1390,12 +1426,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.2.1" data-path="kddcup12tr2_dataset.html">
+ <li class="chapter " data-level="8.3.1" data-path="kddcup12tr2_dataset.html">
<a href="kddcup12tr2_dataset.html">
- <b>8.2.1.</b>
+ <b>8.3.1.</b>
Data preparation
@@ -1405,12 +1441,12 @@
</li>
- <li class="chapter " data-level="8.2.2" data-path="kddcup12tr2_lr.html">
+ <li class="chapter " data-level="8.3.2" data-path="kddcup12tr2_lr.html">
<a href="kddcup12tr2_lr.html">
- <b>8.2.2.</b>
+ <b>8.3.2.</b>
Logistic Regression, Passive Aggressive
@@ -1420,12 +1456,12 @@
</li>
- <li class="chapter " data-level="8.2.3" data-path="kddcup12tr2_lr_amplify.html">
+ <li class="chapter " data-level="8.3.3" data-path="kddcup12tr2_lr_amplify.html">
<a href="kddcup12tr2_lr_amplify.html">
- <b>8.2.3.</b>
+ <b>8.3.3.</b>
Logistic Regression with Amplifier
@@ -1435,12 +1471,12 @@
</li>
- <li class="chapter " data-level="8.2.4" data-path="kddcup12tr2_adagrad.html">
+ <li class="chapter " data-level="8.3.4" data-path="kddcup12tr2_adagrad.html">
<a href="kddcup12tr2_adagrad.html">
- <b>8.2.4.</b>
+ <b>8.3.4.</b>
AdaGrad, AdaDelta
@@ -2193,7 +2229,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
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http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/ba518dab/userguide/regression/general.html
----------------------------------------------------------------------
diff --git a/userguide/regression/general.html b/userguide/regression/general.html
index 2b982e1..915e8d8 100644
--- a/userguide/regression/general.html
+++ b/userguide/regression/general.html
@@ -97,10 +97,10 @@
<link rel="shortcut icon" href="../gitbook/images/favicon.ico" type="image/x-icon">
- <link rel="next" href="../binaryclass/general.html" />
+ <link rel="next" href="e2006.html" />
- <link rel="prev" href="../misc/prediction.html" />
+ <link rel="prev" href="../multiclass/iris_randomforest.html" />
</head>
@@ -598,14 +598,30 @@
</li>
- <li class="chapter " data-level="3.5" data-path="../ft_engineering/tfidf.html">
+ <li class="chapter " data-level="3.5" data-path="../ft_engineering/pairing.html">
- <a href="../ft_engineering/tfidf.html">
+ <a href="../ft_engineering/pairing.html">
<b>3.5.</b>
- TF-IDF Calculation
+ FEATURE PAIRING
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="3.5.1" data-path="../ft_engineering/polynomial.html">
+
+ <a href="../ft_engineering/polynomial.html">
+
+
+ <b>3.5.1.</b>
+
+ Polynomial Features
</a>
@@ -613,6 +629,11 @@
</li>
+
+ </ul>
+
+ </li>
+
<li class="chapter " data-level="3.6" data-path="../ft_engineering/ft_trans.html">
<a href="../ft_engineering/ft_trans.html">
@@ -664,6 +685,21 @@
</li>
+ <li class="chapter " data-level="3.7" data-path="../ft_engineering/tfidf.html">
+
+ <a href="../ft_engineering/tfidf.html">
+
+
+ <b>3.7.</b>
+
+ TF-IDF Calculation
+
+ </a>
+
+
+
+ </li>
+
@@ -761,7 +797,7 @@
- <li class="header">Part V - Prediction</li>
+ <li class="header">Part V - Supervised Learning</li>
@@ -780,27 +816,19 @@
</li>
- <li class="chapter active" data-level="5.2" data-path="general.html">
-
- <a href="general.html">
-
-
- <b>5.2.</b>
-
- Regression
-
- </a>
-
-
- </li>
- <li class="chapter " data-level="5.3" data-path="../binaryclass/general.html">
+
+ <li class="header">Part VI - Binary classification</li>
+
+
+
+ <li class="chapter " data-level="6.1" data-path="../binaryclass/general.html">
<a href="../binaryclass/general.html">
- <b>5.3.</b>
+ <b>6.1.</b>
Binary Classification
@@ -810,21 +838,14 @@
</li>
-
-
-
- <li class="header">Part VI - Binary classification tutorials</li>
-
-
-
- <li class="chapter " data-level="6.1" data-path="../binaryclass/a9a.html">
+ <li class="chapter " data-level="6.2" data-path="../binaryclass/a9a.html">
<a href="../binaryclass/a9a.html">
- <b>6.1.</b>
+ <b>6.2.</b>
- a9a
+ a9a tutorial
</a>
@@ -833,12 +854,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.1.1" data-path="../binaryclass/a9a_dataset.html">
+ <li class="chapter " data-level="6.2.1" data-path="../binaryclass/a9a_dataset.html">
<a href="../binaryclass/a9a_dataset.html">
- <b>6.1.1.</b>
+ <b>6.2.1.</b>
Data preparation
@@ -848,12 +869,12 @@
</li>
- <li class="chapter " data-level="6.1.2" data-path="../binaryclass/a9a_lr.html">
+ <li class="chapter " data-level="6.2.2" data-path="../binaryclass/a9a_lr.html">
<a href="../binaryclass/a9a_lr.html">
- <b>6.1.2.</b>
+ <b>6.2.2.</b>
Logistic Regression
@@ -863,12 +884,12 @@
</li>
- <li class="chapter " data-level="6.1.3" data-path="../binaryclass/a9a_minibatch.html">
+ <li class="chapter " data-level="6.2.3" data-path="../binaryclass/a9a_minibatch.html">
<a href="../binaryclass/a9a_minibatch.html">
- <b>6.1.3.</b>
+ <b>6.2.3.</b>
Mini-batch Gradient Descent
@@ -883,14 +904,14 @@
</li>
- <li class="chapter " data-level="6.2" data-path="../binaryclass/news20.html">
+ <li class="chapter " data-level="6.3" data-path="../binaryclass/news20.html">
<a href="../binaryclass/news20.html">
- <b>6.2.</b>
+ <b>6.3.</b>
- News20
+ News20 tutorial
</a>
@@ -899,12 +920,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.2.1" data-path="../binaryclass/news20_dataset.html">
+ <li class="chapter " data-level="6.3.1" data-path="../binaryclass/news20_dataset.html">
<a href="../binaryclass/news20_dataset.html">
- <b>6.2.1.</b>
+ <b>6.3.1.</b>
Data preparation
@@ -914,12 +935,12 @@
</li>
- <li class="chapter " data-level="6.2.2" data-path="../binaryclass/news20_pa.html">
+ <li class="chapter " data-level="6.3.2" data-path="../binaryclass/news20_pa.html">
<a href="../binaryclass/news20_pa.html">
- <b>6.2.2.</b>
+ <b>6.3.2.</b>
Perceptron, Passive Aggressive
@@ -929,12 +950,12 @@
</li>
- <li class="chapter " data-level="6.2.3" data-path="../binaryclass/news20_scw.html">
+ <li class="chapter " data-level="6.3.3" data-path="../binaryclass/news20_scw.html">
<a href="../binaryclass/news20_scw.html">
- <b>6.2.3.</b>
+ <b>6.3.3.</b>
CW, AROW, SCW
@@ -944,12 +965,12 @@
</li>
- <li class="chapter " data-level="6.2.4" data-path="../binaryclass/news20_adagrad.html">
+ <li class="chapter " data-level="6.3.4" data-path="../binaryclass/news20_adagrad.html">
<a href="../binaryclass/news20_adagrad.html">
- <b>6.2.4.</b>
+ <b>6.3.4.</b>
AdaGradRDA, AdaGrad, AdaDelta
@@ -964,14 +985,14 @@
</li>
- <li class="chapter " data-level="6.3" data-path="../binaryclass/kdd2010a.html">
+ <li class="chapter " data-level="6.4" data-path="../binaryclass/kdd2010a.html">
<a href="../binaryclass/kdd2010a.html">
- <b>6.3.</b>
+ <b>6.4.</b>
- KDD2010a
+ KDD2010a tutorial
</a>
@@ -980,12 +1001,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.3.1" data-path="../binaryclass/kdd2010a_dataset.html">
+ <li class="chapter " data-level="6.4.1" data-path="../binaryclass/kdd2010a_dataset.html">
<a href="../binaryclass/kdd2010a_dataset.html">
- <b>6.3.1.</b>
+ <b>6.4.1.</b>
Data preparation
@@ -995,12 +1016,12 @@
</li>
- <li class="chapter " data-level="6.3.2" data-path="../binaryclass/kdd2010a_scw.html">
+ <li class="chapter " data-level="6.4.2" data-path="../binaryclass/kdd2010a_scw.html">
<a href="../binaryclass/kdd2010a_scw.html">
- <b>6.3.2.</b>
+ <b>6.4.2.</b>
PA, CW, AROW, SCW
@@ -1015,14 +1036,14 @@
</li>
- <li class="chapter " data-level="6.4" data-path="../binaryclass/kdd2010b.html">
+ <li class="chapter " data-level="6.5" data-path="../binaryclass/kdd2010b.html">
<a href="../binaryclass/kdd2010b.html">
- <b>6.4.</b>
+ <b>6.5.</b>
- KDD2010b
+ KDD2010b tutorial
</a>
@@ -1031,12 +1052,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.4.1" data-path="../binaryclass/kdd2010b_dataset.html">
+ <li class="chapter " data-level="6.5.1" data-path="../binaryclass/kdd2010b_dataset.html">
<a href="../binaryclass/kdd2010b_dataset.html">
- <b>6.4.1.</b>
+ <b>6.5.1.</b>
Data preparation
@@ -1046,12 +1067,12 @@
</li>
- <li class="chapter " data-level="6.4.2" data-path="../binaryclass/kdd2010b_arow.html">
+ <li class="chapter " data-level="6.5.2" data-path="../binaryclass/kdd2010b_arow.html">
<a href="../binaryclass/kdd2010b_arow.html">
- <b>6.4.2.</b>
+ <b>6.5.2.</b>
AROW
@@ -1066,14 +1087,14 @@
</li>
- <li class="chapter " data-level="6.5" data-path="../binaryclass/webspam.html">
+ <li class="chapter " data-level="6.6" data-path="../binaryclass/webspam.html">
<a href="../binaryclass/webspam.html">
- <b>6.5.</b>
+ <b>6.6.</b>
- Webspam
+ Webspam tutorial
</a>
@@ -1082,12 +1103,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.5.1" data-path="../binaryclass/webspam_dataset.html">
+ <li class="chapter " data-level="6.6.1" data-path="../binaryclass/webspam_dataset.html">
<a href="../binaryclass/webspam_dataset.html">
- <b>6.5.1.</b>
+ <b>6.6.1.</b>
Data pareparation
@@ -1097,12 +1118,12 @@
</li>
- <li class="chapter " data-level="6.5.2" data-path="../binaryclass/webspam_scw.html">
+ <li class="chapter " data-level="6.6.2" data-path="../binaryclass/webspam_scw.html">
<a href="../binaryclass/webspam_scw.html">
- <b>6.5.2.</b>
+ <b>6.6.2.</b>
PA1, AROW, SCW
@@ -1117,14 +1138,14 @@
</li>
- <li class="chapter " data-level="6.6" data-path="../binaryclass/titanic_rf.html">
+ <li class="chapter " data-level="6.7" data-path="../binaryclass/titanic_rf.html">
<a href="../binaryclass/titanic_rf.html">
- <b>6.6.</b>
+ <b>6.7.</b>
- Kaggle Titanic
+ Kaggle Titanic tutorial
</a>
@@ -1135,7 +1156,7 @@
- <li class="header">Part VII - Multiclass classification tutorials</li>
+ <li class="header">Part VII - Multiclass classification</li>
@@ -1146,7 +1167,7 @@
<b>7.1.</b>
- News20 Multiclass
+ News20 Multiclass tutorial
</a>
@@ -1257,7 +1278,7 @@
<b>7.2.</b>
- Iris
+ Iris tutorial
</a>
@@ -1319,18 +1340,33 @@
- <li class="header">Part VIII - Regression tutorials</li>
+ <li class="header">Part VIII - Regression</li>
- <li class="chapter " data-level="8.1" data-path="e2006.html">
+ <li class="chapter active" data-level="8.1" data-path="general.html">
- <a href="e2006.html">
+ <a href="general.html">
<b>8.1.</b>
- E2006-tfidf regression
+ Regression
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="8.2" data-path="e2006.html">
+
+ <a href="e2006.html">
+
+
+ <b>8.2.</b>
+
+ E2006-tfidf regression tutorial
</a>
@@ -1339,12 +1375,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.1.1" data-path="e2006_dataset.html">
+ <li class="chapter " data-level="8.2.1" data-path="e2006_dataset.html">
<a href="e2006_dataset.html">
- <b>8.1.1.</b>
+ <b>8.2.1.</b>
Data preparation
@@ -1354,12 +1390,12 @@
</li>
- <li class="chapter " data-level="8.1.2" data-path="e2006_arow.html">
+ <li class="chapter " data-level="8.2.2" data-path="e2006_arow.html">
<a href="e2006_arow.html">
- <b>8.1.2.</b>
+ <b>8.2.2.</b>
Passive Aggressive, AROW
@@ -1374,14 +1410,14 @@
</li>
- <li class="chapter " data-level="8.2" data-path="kddcup12tr2.html">
+ <li class="chapter " data-level="8.3" data-path="kddcup12tr2.html">
<a href="kddcup12tr2.html">
- <b>8.2.</b>
+ <b>8.3.</b>
- KDDCup 2012 track 2 CTR prediction
+ KDDCup 2012 track 2 CTR prediction tutorial
</a>
@@ -1390,12 +1426,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.2.1" data-path="kddcup12tr2_dataset.html">
+ <li class="chapter " data-level="8.3.1" data-path="kddcup12tr2_dataset.html">
<a href="kddcup12tr2_dataset.html">
- <b>8.2.1.</b>
+ <b>8.3.1.</b>
Data preparation
@@ -1405,12 +1441,12 @@
</li>
- <li class="chapter " data-level="8.2.2" data-path="kddcup12tr2_lr.html">
+ <li class="chapter " data-level="8.3.2" data-path="kddcup12tr2_lr.html">
<a href="kddcup12tr2_lr.html">
- <b>8.2.2.</b>
+ <b>8.3.2.</b>
Logistic Regression, Passive Aggressive
@@ -1420,12 +1456,12 @@
</li>
- <li class="chapter " data-level="8.2.3" data-path="kddcup12tr2_lr_amplify.html">
+ <li class="chapter " data-level="8.3.3" data-path="kddcup12tr2_lr_amplify.html">
<a href="kddcup12tr2_lr_amplify.html">
- <b>8.2.3.</b>
+ <b>8.3.3.</b>
Logistic Regression with Amplifier
@@ -1435,12 +1471,12 @@
</li>
- <li class="chapter " data-level="8.2.4" data-path="kddcup12tr2_adagrad.html">
+ <li class="chapter " data-level="8.3.4" data-path="kddcup12tr2_adagrad.html">
<a href="kddcup12tr2_adagrad.html">
- <b>8.2.4.</b>
+ <b>8.3.4.</b>
AdaGrad, AdaDelta
@@ -2181,7 +2217,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
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http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/ba518dab/userguide/regression/kddcup12tr2.html
----------------------------------------------------------------------
diff --git a/userguide/regression/kddcup12tr2.html b/userguide/regression/kddcup12tr2.html
index 2d1bc4b..10caa46 100644
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<head>
<meta charset="UTF-8">
<meta content="text/html; charset=utf-8" http-equiv="Content-Type">
- <title>KDDCup 2012 track 2 CTR prediction · Hivemall User Manual</title>
+ <title>KDDCup 2012 track 2 CTR prediction tutorial · Hivemall User Manual</title>
<meta http-equiv="X-UA-Compatible" content="IE=edge" />
<meta name="description" content="">
<meta name="generator" content="GitBook 3.2.2">
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</li>
- <li class="chapter " data-level="3.5" data-path="../ft_engineering/tfidf.html">
+ <li class="chapter " data-level="3.5" data-path="../ft_engineering/pairing.html">
- <a href="../ft_engineering/tfidf.html">
+ <a href="../ft_engineering/pairing.html">
<b>3.5.</b>
- TF-IDF Calculation
+ FEATURE PAIRING
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="3.5.1" data-path="../ft_engineering/polynomial.html">
+
+ <a href="../ft_engineering/polynomial.html">
+
+
+ <b>3.5.1.</b>
+
+ Polynomial Features
</a>
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</li>
+
+ </ul>
+
+ </li>
+
<li class="chapter " data-level="3.6" data-path="../ft_engineering/ft_trans.html">
<a href="../ft_engineering/ft_trans.html">
@@ -664,6 +685,21 @@
</li>
+ <li class="chapter " data-level="3.7" data-path="../ft_engineering/tfidf.html">
+
+ <a href="../ft_engineering/tfidf.html">
+
+
+ <b>3.7.</b>
+
+ TF-IDF Calculation
+
+ </a>
+
+
+
+ </li>
+
@@ -761,7 +797,7 @@
- <li class="header">Part V - Prediction</li>
+ <li class="header">Part V - Supervised Learning</li>
@@ -780,27 +816,19 @@
</li>
- <li class="chapter " data-level="5.2" data-path="general.html">
-
- <a href="general.html">
-
-
- <b>5.2.</b>
-
- Regression
-
- </a>
-
-
- </li>
- <li class="chapter " data-level="5.3" data-path="../binaryclass/general.html">
+
+ <li class="header">Part VI - Binary classification</li>
+
+
+
+ <li class="chapter " data-level="6.1" data-path="../binaryclass/general.html">
<a href="../binaryclass/general.html">
- <b>5.3.</b>
+ <b>6.1.</b>
Binary Classification
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</li>
-
-
-
- <li class="header">Part VI - Binary classification tutorials</li>
-
-
-
- <li class="chapter " data-level="6.1" data-path="../binaryclass/a9a.html">
+ <li class="chapter " data-level="6.2" data-path="../binaryclass/a9a.html">
<a href="../binaryclass/a9a.html">
- <b>6.1.</b>
+ <b>6.2.</b>
- a9a
+ a9a tutorial
</a>
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<ul class="articles">
- <li class="chapter " data-level="6.1.1" data-path="../binaryclass/a9a_dataset.html">
+ <li class="chapter " data-level="6.2.1" data-path="../binaryclass/a9a_dataset.html">
<a href="../binaryclass/a9a_dataset.html">
- <b>6.1.1.</b>
+ <b>6.2.1.</b>
Data preparation
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</li>
- <li class="chapter " data-level="6.1.2" data-path="../binaryclass/a9a_lr.html">
+ <li class="chapter " data-level="6.2.2" data-path="../binaryclass/a9a_lr.html">
<a href="../binaryclass/a9a_lr.html">
- <b>6.1.2.</b>
+ <b>6.2.2.</b>
Logistic Regression
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</li>
- <li class="chapter " data-level="6.1.3" data-path="../binaryclass/a9a_minibatch.html">
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<a href="../binaryclass/a9a_minibatch.html">
- <b>6.1.3.</b>
+ <b>6.2.3.</b>
Mini-batch Gradient Descent
@@ -883,14 +904,14 @@
</li>
- <li class="chapter " data-level="6.2" data-path="../binaryclass/news20.html">
+ <li class="chapter " data-level="6.3" data-path="../binaryclass/news20.html">
<a href="../binaryclass/news20.html">
- <b>6.2.</b>
+ <b>6.3.</b>
- News20
+ News20 tutorial
</a>
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<ul class="articles">
- <li class="chapter " data-level="6.2.1" data-path="../binaryclass/news20_dataset.html">
+ <li class="chapter " data-level="6.3.1" data-path="../binaryclass/news20_dataset.html">
<a href="../binaryclass/news20_dataset.html">
- <b>6.2.1.</b>
+ <b>6.3.1.</b>
Data preparation
@@ -914,12 +935,12 @@
</li>
- <li class="chapter " data-level="6.2.2" data-path="../binaryclass/news20_pa.html">
+ <li class="chapter " data-level="6.3.2" data-path="../binaryclass/news20_pa.html">
<a href="../binaryclass/news20_pa.html">
- <b>6.2.2.</b>
+ <b>6.3.2.</b>
Perceptron, Passive Aggressive
@@ -929,12 +950,12 @@
</li>
- <li class="chapter " data-level="6.2.3" data-path="../binaryclass/news20_scw.html">
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<a href="../binaryclass/news20_scw.html">
- <b>6.2.3.</b>
+ <b>6.3.3.</b>
CW, AROW, SCW
@@ -944,12 +965,12 @@
</li>
- <li class="chapter " data-level="6.2.4" data-path="../binaryclass/news20_adagrad.html">
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<a href="../binaryclass/news20_adagrad.html">
- <b>6.2.4.</b>
+ <b>6.3.4.</b>
AdaGradRDA, AdaGrad, AdaDelta
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</li>
- <li class="chapter " data-level="6.3" data-path="../binaryclass/kdd2010a.html">
+ <li class="chapter " data-level="6.4" data-path="../binaryclass/kdd2010a.html">
<a href="../binaryclass/kdd2010a.html">
- <b>6.3.</b>
+ <b>6.4.</b>
- KDD2010a
+ KDD2010a tutorial
</a>
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<ul class="articles">
- <li class="chapter " data-level="6.3.1" data-path="../binaryclass/kdd2010a_dataset.html">
+ <li class="chapter " data-level="6.4.1" data-path="../binaryclass/kdd2010a_dataset.html">
<a href="../binaryclass/kdd2010a_dataset.html">
- <b>6.3.1.</b>
+ <b>6.4.1.</b>
Data preparation
@@ -995,12 +1016,12 @@
</li>
- <li class="chapter " data-level="6.3.2" data-path="../binaryclass/kdd2010a_scw.html">
+ <li class="chapter " data-level="6.4.2" data-path="../binaryclass/kdd2010a_scw.html">
<a href="../binaryclass/kdd2010a_scw.html">
- <b>6.3.2.</b>
+ <b>6.4.2.</b>
PA, CW, AROW, SCW
@@ -1015,14 +1036,14 @@
</li>
- <li class="chapter " data-level="6.4" data-path="../binaryclass/kdd2010b.html">
+ <li class="chapter " data-level="6.5" data-path="../binaryclass/kdd2010b.html">
<a href="../binaryclass/kdd2010b.html">
- <b>6.4.</b>
+ <b>6.5.</b>
- KDD2010b
+ KDD2010b tutorial
</a>
@@ -1031,12 +1052,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.4.1" data-path="../binaryclass/kdd2010b_dataset.html">
+ <li class="chapter " data-level="6.5.1" data-path="../binaryclass/kdd2010b_dataset.html">
<a href="../binaryclass/kdd2010b_dataset.html">
- <b>6.4.1.</b>
+ <b>6.5.1.</b>
Data preparation
@@ -1046,12 +1067,12 @@
</li>
- <li class="chapter " data-level="6.4.2" data-path="../binaryclass/kdd2010b_arow.html">
+ <li class="chapter " data-level="6.5.2" data-path="../binaryclass/kdd2010b_arow.html">
<a href="../binaryclass/kdd2010b_arow.html">
- <b>6.4.2.</b>
+ <b>6.5.2.</b>
AROW
@@ -1066,14 +1087,14 @@
</li>
- <li class="chapter " data-level="6.5" data-path="../binaryclass/webspam.html">
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<a href="../binaryclass/webspam.html">
- <b>6.5.</b>
+ <b>6.6.</b>
- Webspam
+ Webspam tutorial
</a>
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<ul class="articles">
- <li class="chapter " data-level="6.5.1" data-path="../binaryclass/webspam_dataset.html">
+ <li class="chapter " data-level="6.6.1" data-path="../binaryclass/webspam_dataset.html">
<a href="../binaryclass/webspam_dataset.html">
- <b>6.5.1.</b>
+ <b>6.6.1.</b>
Data pareparation
@@ -1097,12 +1118,12 @@
</li>
- <li class="chapter " data-level="6.5.2" data-path="../binaryclass/webspam_scw.html">
+ <li class="chapter " data-level="6.6.2" data-path="../binaryclass/webspam_scw.html">
<a href="../binaryclass/webspam_scw.html">
- <b>6.5.2.</b>
+ <b>6.6.2.</b>
PA1, AROW, SCW
@@ -1117,14 +1138,14 @@
</li>
- <li class="chapter " data-level="6.6" data-path="../binaryclass/titanic_rf.html">
+ <li class="chapter " data-level="6.7" data-path="../binaryclass/titanic_rf.html">
<a href="../binaryclass/titanic_rf.html">
- <b>6.6.</b>
+ <b>6.7.</b>
- Kaggle Titanic
+ Kaggle Titanic tutorial
</a>
@@ -1135,7 +1156,7 @@
- <li class="header">Part VII - Multiclass classification tutorials</li>
+ <li class="header">Part VII - Multiclass classification</li>
@@ -1146,7 +1167,7 @@
<b>7.1.</b>
- News20 Multiclass
+ News20 Multiclass tutorial
</a>
@@ -1257,7 +1278,7 @@
<b>7.2.</b>
- Iris
+ Iris tutorial
</a>
@@ -1319,18 +1340,33 @@
- <li class="header">Part VIII - Regression tutorials</li>
+ <li class="header">Part VIII - Regression</li>
- <li class="chapter " data-level="8.1" data-path="e2006.html">
+ <li class="chapter " data-level="8.1" data-path="general.html">
- <a href="e2006.html">
+ <a href="general.html">
<b>8.1.</b>
- E2006-tfidf regression
+ Regression
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="8.2" data-path="e2006.html">
+
+ <a href="e2006.html">
+
+
+ <b>8.2.</b>
+
+ E2006-tfidf regression tutorial
</a>
@@ -1339,12 +1375,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.1.1" data-path="e2006_dataset.html">
+ <li class="chapter " data-level="8.2.1" data-path="e2006_dataset.html">
<a href="e2006_dataset.html">
- <b>8.1.1.</b>
+ <b>8.2.1.</b>
Data preparation
@@ -1354,12 +1390,12 @@
</li>
- <li class="chapter " data-level="8.1.2" data-path="e2006_arow.html">
+ <li class="chapter " data-level="8.2.2" data-path="e2006_arow.html">
<a href="e2006_arow.html">
- <b>8.1.2.</b>
+ <b>8.2.2.</b>
Passive Aggressive, AROW
@@ -1374,14 +1410,14 @@
</li>
- <li class="chapter active" data-level="8.2" data-path="kddcup12tr2.html">
+ <li class="chapter active" data-level="8.3" data-path="kddcup12tr2.html">
<a href="kddcup12tr2.html">
- <b>8.2.</b>
+ <b>8.3.</b>
- KDDCup 2012 track 2 CTR prediction
+ KDDCup 2012 track 2 CTR prediction tutorial
</a>
@@ -1390,12 +1426,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.2.1" data-path="kddcup12tr2_dataset.html">
+ <li class="chapter " data-level="8.3.1" data-path="kddcup12tr2_dataset.html">
<a href="kddcup12tr2_dataset.html">
- <b>8.2.1.</b>
+ <b>8.3.1.</b>
Data preparation
@@ -1405,12 +1441,12 @@
</li>
- <li class="chapter " data-level="8.2.2" data-path="kddcup12tr2_lr.html">
+ <li class="chapter " data-level="8.3.2" data-path="kddcup12tr2_lr.html">
<a href="kddcup12tr2_lr.html">
- <b>8.2.2.</b>
+ <b>8.3.2.</b>
Logistic Regression, Passive Aggressive
@@ -1420,12 +1456,12 @@
</li>
- <li class="chapter " data-level="8.2.3" data-path="kddcup12tr2_lr_amplify.html">
+ <li class="chapter " data-level="8.3.3" data-path="kddcup12tr2_lr_amplify.html">
<a href="kddcup12tr2_lr_amplify.html">
- <b>8.2.3.</b>
+ <b>8.3.3.</b>
Logistic Regression with Amplifier
@@ -1435,12 +1471,12 @@
</li>
- <li class="chapter " data-level="8.2.4" data-path="kddcup12tr2_adagrad.html">
+ <li class="chapter " data-level="8.3.4" data-path="kddcup12tr2_adagrad.html">
<a href="kddcup12tr2_adagrad.html">
- <b>8.2.4.</b>
+ <b>8.3.4.</b>
AdaGrad, AdaDelta
@@ -2041,7 +2077,7 @@
<!-- Title -->
<h1>
<i class="fa fa-circle-o-notch fa-spin"></i>
- <a href=".." >KDDCup 2012 track 2 CTR prediction</a>
+ <a href=".." >KDDCup 2012 track 2 CTR prediction tutorial</a>
</h1>
</div>
@@ -2129,7 +2165,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
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[04/41] incubator-hivemall-site git commit: Added descriptions about
Feature Pairing in the user guide
Posted by my...@apache.org.
http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/ba518dab/userguide/tips/hadoop_tuning.html
----------------------------------------------------------------------
diff --git a/userguide/tips/hadoop_tuning.html b/userguide/tips/hadoop_tuning.html
index 5ba71a5..831459b 100644
--- a/userguide/tips/hadoop_tuning.html
+++ b/userguide/tips/hadoop_tuning.html
@@ -598,14 +598,30 @@
</li>
- <li class="chapter " data-level="3.5" data-path="../ft_engineering/tfidf.html">
+ <li class="chapter " data-level="3.5" data-path="../ft_engineering/pairing.html">
- <a href="../ft_engineering/tfidf.html">
+ <a href="../ft_engineering/pairing.html">
<b>3.5.</b>
- TF-IDF Calculation
+ FEATURE PAIRING
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="3.5.1" data-path="../ft_engineering/polynomial.html">
+
+ <a href="../ft_engineering/polynomial.html">
+
+
+ <b>3.5.1.</b>
+
+ Polynomial Features
</a>
@@ -613,6 +629,11 @@
</li>
+
+ </ul>
+
+ </li>
+
<li class="chapter " data-level="3.6" data-path="../ft_engineering/ft_trans.html">
<a href="../ft_engineering/ft_trans.html">
@@ -664,6 +685,21 @@
</li>
+ <li class="chapter " data-level="3.7" data-path="../ft_engineering/tfidf.html">
+
+ <a href="../ft_engineering/tfidf.html">
+
+
+ <b>3.7.</b>
+
+ TF-IDF Calculation
+
+ </a>
+
+
+
+ </li>
+
@@ -761,7 +797,7 @@
- <li class="header">Part V - Prediction</li>
+ <li class="header">Part V - Supervised Learning</li>
@@ -780,27 +816,19 @@
</li>
- <li class="chapter " data-level="5.2" data-path="../regression/general.html">
-
- <a href="../regression/general.html">
-
-
- <b>5.2.</b>
-
- Regression
-
- </a>
-
-
- </li>
- <li class="chapter " data-level="5.3" data-path="../binaryclass/general.html">
+
+ <li class="header">Part VI - Binary classification</li>
+
+
+
+ <li class="chapter " data-level="6.1" data-path="../binaryclass/general.html">
<a href="../binaryclass/general.html">
- <b>5.3.</b>
+ <b>6.1.</b>
Binary Classification
@@ -810,21 +838,14 @@
</li>
-
-
-
- <li class="header">Part VI - Binary classification tutorials</li>
-
-
-
- <li class="chapter " data-level="6.1" data-path="../binaryclass/a9a.html">
+ <li class="chapter " data-level="6.2" data-path="../binaryclass/a9a.html">
<a href="../binaryclass/a9a.html">
- <b>6.1.</b>
+ <b>6.2.</b>
- a9a
+ a9a tutorial
</a>
@@ -833,12 +854,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.1.1" data-path="../binaryclass/a9a_dataset.html">
+ <li class="chapter " data-level="6.2.1" data-path="../binaryclass/a9a_dataset.html">
<a href="../binaryclass/a9a_dataset.html">
- <b>6.1.1.</b>
+ <b>6.2.1.</b>
Data preparation
@@ -848,12 +869,12 @@
</li>
- <li class="chapter " data-level="6.1.2" data-path="../binaryclass/a9a_lr.html">
+ <li class="chapter " data-level="6.2.2" data-path="../binaryclass/a9a_lr.html">
<a href="../binaryclass/a9a_lr.html">
- <b>6.1.2.</b>
+ <b>6.2.2.</b>
Logistic Regression
@@ -863,12 +884,12 @@
</li>
- <li class="chapter " data-level="6.1.3" data-path="../binaryclass/a9a_minibatch.html">
+ <li class="chapter " data-level="6.2.3" data-path="../binaryclass/a9a_minibatch.html">
<a href="../binaryclass/a9a_minibatch.html">
- <b>6.1.3.</b>
+ <b>6.2.3.</b>
Mini-batch Gradient Descent
@@ -883,14 +904,14 @@
</li>
- <li class="chapter " data-level="6.2" data-path="../binaryclass/news20.html">
+ <li class="chapter " data-level="6.3" data-path="../binaryclass/news20.html">
<a href="../binaryclass/news20.html">
- <b>6.2.</b>
+ <b>6.3.</b>
- News20
+ News20 tutorial
</a>
@@ -899,12 +920,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.2.1" data-path="../binaryclass/news20_dataset.html">
+ <li class="chapter " data-level="6.3.1" data-path="../binaryclass/news20_dataset.html">
<a href="../binaryclass/news20_dataset.html">
- <b>6.2.1.</b>
+ <b>6.3.1.</b>
Data preparation
@@ -914,12 +935,12 @@
</li>
- <li class="chapter " data-level="6.2.2" data-path="../binaryclass/news20_pa.html">
+ <li class="chapter " data-level="6.3.2" data-path="../binaryclass/news20_pa.html">
<a href="../binaryclass/news20_pa.html">
- <b>6.2.2.</b>
+ <b>6.3.2.</b>
Perceptron, Passive Aggressive
@@ -929,12 +950,12 @@
</li>
- <li class="chapter " data-level="6.2.3" data-path="../binaryclass/news20_scw.html">
+ <li class="chapter " data-level="6.3.3" data-path="../binaryclass/news20_scw.html">
<a href="../binaryclass/news20_scw.html">
- <b>6.2.3.</b>
+ <b>6.3.3.</b>
CW, AROW, SCW
@@ -944,12 +965,12 @@
</li>
- <li class="chapter " data-level="6.2.4" data-path="../binaryclass/news20_adagrad.html">
+ <li class="chapter " data-level="6.3.4" data-path="../binaryclass/news20_adagrad.html">
<a href="../binaryclass/news20_adagrad.html">
- <b>6.2.4.</b>
+ <b>6.3.4.</b>
AdaGradRDA, AdaGrad, AdaDelta
@@ -964,14 +985,14 @@
</li>
- <li class="chapter " data-level="6.3" data-path="../binaryclass/kdd2010a.html">
+ <li class="chapter " data-level="6.4" data-path="../binaryclass/kdd2010a.html">
<a href="../binaryclass/kdd2010a.html">
- <b>6.3.</b>
+ <b>6.4.</b>
- KDD2010a
+ KDD2010a tutorial
</a>
@@ -980,12 +1001,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.3.1" data-path="../binaryclass/kdd2010a_dataset.html">
+ <li class="chapter " data-level="6.4.1" data-path="../binaryclass/kdd2010a_dataset.html">
<a href="../binaryclass/kdd2010a_dataset.html">
- <b>6.3.1.</b>
+ <b>6.4.1.</b>
Data preparation
@@ -995,12 +1016,12 @@
</li>
- <li class="chapter " data-level="6.3.2" data-path="../binaryclass/kdd2010a_scw.html">
+ <li class="chapter " data-level="6.4.2" data-path="../binaryclass/kdd2010a_scw.html">
<a href="../binaryclass/kdd2010a_scw.html">
- <b>6.3.2.</b>
+ <b>6.4.2.</b>
PA, CW, AROW, SCW
@@ -1015,14 +1036,14 @@
</li>
- <li class="chapter " data-level="6.4" data-path="../binaryclass/kdd2010b.html">
+ <li class="chapter " data-level="6.5" data-path="../binaryclass/kdd2010b.html">
<a href="../binaryclass/kdd2010b.html">
- <b>6.4.</b>
+ <b>6.5.</b>
- KDD2010b
+ KDD2010b tutorial
</a>
@@ -1031,12 +1052,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.4.1" data-path="../binaryclass/kdd2010b_dataset.html">
+ <li class="chapter " data-level="6.5.1" data-path="../binaryclass/kdd2010b_dataset.html">
<a href="../binaryclass/kdd2010b_dataset.html">
- <b>6.4.1.</b>
+ <b>6.5.1.</b>
Data preparation
@@ -1046,12 +1067,12 @@
</li>
- <li class="chapter " data-level="6.4.2" data-path="../binaryclass/kdd2010b_arow.html">
+ <li class="chapter " data-level="6.5.2" data-path="../binaryclass/kdd2010b_arow.html">
<a href="../binaryclass/kdd2010b_arow.html">
- <b>6.4.2.</b>
+ <b>6.5.2.</b>
AROW
@@ -1066,14 +1087,14 @@
</li>
- <li class="chapter " data-level="6.5" data-path="../binaryclass/webspam.html">
+ <li class="chapter " data-level="6.6" data-path="../binaryclass/webspam.html">
<a href="../binaryclass/webspam.html">
- <b>6.5.</b>
+ <b>6.6.</b>
- Webspam
+ Webspam tutorial
</a>
@@ -1082,12 +1103,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.5.1" data-path="../binaryclass/webspam_dataset.html">
+ <li class="chapter " data-level="6.6.1" data-path="../binaryclass/webspam_dataset.html">
<a href="../binaryclass/webspam_dataset.html">
- <b>6.5.1.</b>
+ <b>6.6.1.</b>
Data pareparation
@@ -1097,12 +1118,12 @@
</li>
- <li class="chapter " data-level="6.5.2" data-path="../binaryclass/webspam_scw.html">
+ <li class="chapter " data-level="6.6.2" data-path="../binaryclass/webspam_scw.html">
<a href="../binaryclass/webspam_scw.html">
- <b>6.5.2.</b>
+ <b>6.6.2.</b>
PA1, AROW, SCW
@@ -1117,14 +1138,14 @@
</li>
- <li class="chapter " data-level="6.6" data-path="../binaryclass/titanic_rf.html">
+ <li class="chapter " data-level="6.7" data-path="../binaryclass/titanic_rf.html">
<a href="../binaryclass/titanic_rf.html">
- <b>6.6.</b>
+ <b>6.7.</b>
- Kaggle Titanic
+ Kaggle Titanic tutorial
</a>
@@ -1135,7 +1156,7 @@
- <li class="header">Part VII - Multiclass classification tutorials</li>
+ <li class="header">Part VII - Multiclass classification</li>
@@ -1146,7 +1167,7 @@
<b>7.1.</b>
- News20 Multiclass
+ News20 Multiclass tutorial
</a>
@@ -1257,7 +1278,7 @@
<b>7.2.</b>
- Iris
+ Iris tutorial
</a>
@@ -1319,18 +1340,33 @@
- <li class="header">Part VIII - Regression tutorials</li>
+ <li class="header">Part VIII - Regression</li>
- <li class="chapter " data-level="8.1" data-path="../regression/e2006.html">
+ <li class="chapter " data-level="8.1" data-path="../regression/general.html">
- <a href="../regression/e2006.html">
+ <a href="../regression/general.html">
<b>8.1.</b>
- E2006-tfidf regression
+ Regression
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="8.2" data-path="../regression/e2006.html">
+
+ <a href="../regression/e2006.html">
+
+
+ <b>8.2.</b>
+
+ E2006-tfidf regression tutorial
</a>
@@ -1339,12 +1375,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.1.1" data-path="../regression/e2006_dataset.html">
+ <li class="chapter " data-level="8.2.1" data-path="../regression/e2006_dataset.html">
<a href="../regression/e2006_dataset.html">
- <b>8.1.1.</b>
+ <b>8.2.1.</b>
Data preparation
@@ -1354,12 +1390,12 @@
</li>
- <li class="chapter " data-level="8.1.2" data-path="../regression/e2006_arow.html">
+ <li class="chapter " data-level="8.2.2" data-path="../regression/e2006_arow.html">
<a href="../regression/e2006_arow.html">
- <b>8.1.2.</b>
+ <b>8.2.2.</b>
Passive Aggressive, AROW
@@ -1374,14 +1410,14 @@
</li>
- <li class="chapter " data-level="8.2" data-path="../regression/kddcup12tr2.html">
+ <li class="chapter " data-level="8.3" data-path="../regression/kddcup12tr2.html">
<a href="../regression/kddcup12tr2.html">
- <b>8.2.</b>
+ <b>8.3.</b>
- KDDCup 2012 track 2 CTR prediction
+ KDDCup 2012 track 2 CTR prediction tutorial
</a>
@@ -1390,12 +1426,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.2.1" data-path="../regression/kddcup12tr2_dataset.html">
+ <li class="chapter " data-level="8.3.1" data-path="../regression/kddcup12tr2_dataset.html">
<a href="../regression/kddcup12tr2_dataset.html">
- <b>8.2.1.</b>
+ <b>8.3.1.</b>
Data preparation
@@ -1405,12 +1441,12 @@
</li>
- <li class="chapter " data-level="8.2.2" data-path="../regression/kddcup12tr2_lr.html">
+ <li class="chapter " data-level="8.3.2" data-path="../regression/kddcup12tr2_lr.html">
<a href="../regression/kddcup12tr2_lr.html">
- <b>8.2.2.</b>
+ <b>8.3.2.</b>
Logistic Regression, Passive Aggressive
@@ -1420,12 +1456,12 @@
</li>
- <li class="chapter " data-level="8.2.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
+ <li class="chapter " data-level="8.3.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
<a href="../regression/kddcup12tr2_lr_amplify.html">
- <b>8.2.3.</b>
+ <b>8.3.3.</b>
Logistic Regression with Amplifier
@@ -1435,12 +1471,12 @@
</li>
- <li class="chapter " data-level="8.2.4" data-path="../regression/kddcup12tr2_adagrad.html">
+ <li class="chapter " data-level="8.3.4" data-path="../regression/kddcup12tr2_adagrad.html">
<a href="../regression/kddcup12tr2_adagrad.html">
- <b>8.2.4.</b>
+ <b>8.3.4.</b>
AdaGrad, AdaDelta
@@ -2198,7 +2234,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
<script>
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----------------------------------------------------------------------
diff --git a/userguide/tips/index.html b/userguide/tips/index.html
index badc12a..5d7dbfc 100644
--- a/userguide/tips/index.html
+++ b/userguide/tips/index.html
@@ -598,14 +598,30 @@
</li>
- <li class="chapter " data-level="3.5" data-path="../ft_engineering/tfidf.html">
+ <li class="chapter " data-level="3.5" data-path="../ft_engineering/pairing.html">
- <a href="../ft_engineering/tfidf.html">
+ <a href="../ft_engineering/pairing.html">
<b>3.5.</b>
- TF-IDF Calculation
+ FEATURE PAIRING
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="3.5.1" data-path="../ft_engineering/polynomial.html">
+
+ <a href="../ft_engineering/polynomial.html">
+
+
+ <b>3.5.1.</b>
+
+ Polynomial Features
</a>
@@ -613,6 +629,11 @@
</li>
+
+ </ul>
+
+ </li>
+
<li class="chapter " data-level="3.6" data-path="../ft_engineering/ft_trans.html">
<a href="../ft_engineering/ft_trans.html">
@@ -664,6 +685,21 @@
</li>
+ <li class="chapter " data-level="3.7" data-path="../ft_engineering/tfidf.html">
+
+ <a href="../ft_engineering/tfidf.html">
+
+
+ <b>3.7.</b>
+
+ TF-IDF Calculation
+
+ </a>
+
+
+
+ </li>
+
@@ -761,7 +797,7 @@
- <li class="header">Part V - Prediction</li>
+ <li class="header">Part V - Supervised Learning</li>
@@ -780,27 +816,19 @@
</li>
- <li class="chapter " data-level="5.2" data-path="../regression/general.html">
-
- <a href="../regression/general.html">
-
-
- <b>5.2.</b>
-
- Regression
-
- </a>
-
-
- </li>
- <li class="chapter " data-level="5.3" data-path="../binaryclass/general.html">
+
+ <li class="header">Part VI - Binary classification</li>
+
+
+
+ <li class="chapter " data-level="6.1" data-path="../binaryclass/general.html">
<a href="../binaryclass/general.html">
- <b>5.3.</b>
+ <b>6.1.</b>
Binary Classification
@@ -810,21 +838,14 @@
</li>
-
-
-
- <li class="header">Part VI - Binary classification tutorials</li>
-
-
-
- <li class="chapter " data-level="6.1" data-path="../binaryclass/a9a.html">
+ <li class="chapter " data-level="6.2" data-path="../binaryclass/a9a.html">
<a href="../binaryclass/a9a.html">
- <b>6.1.</b>
+ <b>6.2.</b>
- a9a
+ a9a tutorial
</a>
@@ -833,12 +854,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.1.1" data-path="../binaryclass/a9a_dataset.html">
+ <li class="chapter " data-level="6.2.1" data-path="../binaryclass/a9a_dataset.html">
<a href="../binaryclass/a9a_dataset.html">
- <b>6.1.1.</b>
+ <b>6.2.1.</b>
Data preparation
@@ -848,12 +869,12 @@
</li>
- <li class="chapter " data-level="6.1.2" data-path="../binaryclass/a9a_lr.html">
+ <li class="chapter " data-level="6.2.2" data-path="../binaryclass/a9a_lr.html">
<a href="../binaryclass/a9a_lr.html">
- <b>6.1.2.</b>
+ <b>6.2.2.</b>
Logistic Regression
@@ -863,12 +884,12 @@
</li>
- <li class="chapter " data-level="6.1.3" data-path="../binaryclass/a9a_minibatch.html">
+ <li class="chapter " data-level="6.2.3" data-path="../binaryclass/a9a_minibatch.html">
<a href="../binaryclass/a9a_minibatch.html">
- <b>6.1.3.</b>
+ <b>6.2.3.</b>
Mini-batch Gradient Descent
@@ -883,14 +904,14 @@
</li>
- <li class="chapter " data-level="6.2" data-path="../binaryclass/news20.html">
+ <li class="chapter " data-level="6.3" data-path="../binaryclass/news20.html">
<a href="../binaryclass/news20.html">
- <b>6.2.</b>
+ <b>6.3.</b>
- News20
+ News20 tutorial
</a>
@@ -899,12 +920,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.2.1" data-path="../binaryclass/news20_dataset.html">
+ <li class="chapter " data-level="6.3.1" data-path="../binaryclass/news20_dataset.html">
<a href="../binaryclass/news20_dataset.html">
- <b>6.2.1.</b>
+ <b>6.3.1.</b>
Data preparation
@@ -914,12 +935,12 @@
</li>
- <li class="chapter " data-level="6.2.2" data-path="../binaryclass/news20_pa.html">
+ <li class="chapter " data-level="6.3.2" data-path="../binaryclass/news20_pa.html">
<a href="../binaryclass/news20_pa.html">
- <b>6.2.2.</b>
+ <b>6.3.2.</b>
Perceptron, Passive Aggressive
@@ -929,12 +950,12 @@
</li>
- <li class="chapter " data-level="6.2.3" data-path="../binaryclass/news20_scw.html">
+ <li class="chapter " data-level="6.3.3" data-path="../binaryclass/news20_scw.html">
<a href="../binaryclass/news20_scw.html">
- <b>6.2.3.</b>
+ <b>6.3.3.</b>
CW, AROW, SCW
@@ -944,12 +965,12 @@
</li>
- <li class="chapter " data-level="6.2.4" data-path="../binaryclass/news20_adagrad.html">
+ <li class="chapter " data-level="6.3.4" data-path="../binaryclass/news20_adagrad.html">
<a href="../binaryclass/news20_adagrad.html">
- <b>6.2.4.</b>
+ <b>6.3.4.</b>
AdaGradRDA, AdaGrad, AdaDelta
@@ -964,14 +985,14 @@
</li>
- <li class="chapter " data-level="6.3" data-path="../binaryclass/kdd2010a.html">
+ <li class="chapter " data-level="6.4" data-path="../binaryclass/kdd2010a.html">
<a href="../binaryclass/kdd2010a.html">
- <b>6.3.</b>
+ <b>6.4.</b>
- KDD2010a
+ KDD2010a tutorial
</a>
@@ -980,12 +1001,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.3.1" data-path="../binaryclass/kdd2010a_dataset.html">
+ <li class="chapter " data-level="6.4.1" data-path="../binaryclass/kdd2010a_dataset.html">
<a href="../binaryclass/kdd2010a_dataset.html">
- <b>6.3.1.</b>
+ <b>6.4.1.</b>
Data preparation
@@ -995,12 +1016,12 @@
</li>
- <li class="chapter " data-level="6.3.2" data-path="../binaryclass/kdd2010a_scw.html">
+ <li class="chapter " data-level="6.4.2" data-path="../binaryclass/kdd2010a_scw.html">
<a href="../binaryclass/kdd2010a_scw.html">
- <b>6.3.2.</b>
+ <b>6.4.2.</b>
PA, CW, AROW, SCW
@@ -1015,14 +1036,14 @@
</li>
- <li class="chapter " data-level="6.4" data-path="../binaryclass/kdd2010b.html">
+ <li class="chapter " data-level="6.5" data-path="../binaryclass/kdd2010b.html">
<a href="../binaryclass/kdd2010b.html">
- <b>6.4.</b>
+ <b>6.5.</b>
- KDD2010b
+ KDD2010b tutorial
</a>
@@ -1031,12 +1052,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.4.1" data-path="../binaryclass/kdd2010b_dataset.html">
+ <li class="chapter " data-level="6.5.1" data-path="../binaryclass/kdd2010b_dataset.html">
<a href="../binaryclass/kdd2010b_dataset.html">
- <b>6.4.1.</b>
+ <b>6.5.1.</b>
Data preparation
@@ -1046,12 +1067,12 @@
</li>
- <li class="chapter " data-level="6.4.2" data-path="../binaryclass/kdd2010b_arow.html">
+ <li class="chapter " data-level="6.5.2" data-path="../binaryclass/kdd2010b_arow.html">
<a href="../binaryclass/kdd2010b_arow.html">
- <b>6.4.2.</b>
+ <b>6.5.2.</b>
AROW
@@ -1066,14 +1087,14 @@
</li>
- <li class="chapter " data-level="6.5" data-path="../binaryclass/webspam.html">
+ <li class="chapter " data-level="6.6" data-path="../binaryclass/webspam.html">
<a href="../binaryclass/webspam.html">
- <b>6.5.</b>
+ <b>6.6.</b>
- Webspam
+ Webspam tutorial
</a>
@@ -1082,12 +1103,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.5.1" data-path="../binaryclass/webspam_dataset.html">
+ <li class="chapter " data-level="6.6.1" data-path="../binaryclass/webspam_dataset.html">
<a href="../binaryclass/webspam_dataset.html">
- <b>6.5.1.</b>
+ <b>6.6.1.</b>
Data pareparation
@@ -1097,12 +1118,12 @@
</li>
- <li class="chapter " data-level="6.5.2" data-path="../binaryclass/webspam_scw.html">
+ <li class="chapter " data-level="6.6.2" data-path="../binaryclass/webspam_scw.html">
<a href="../binaryclass/webspam_scw.html">
- <b>6.5.2.</b>
+ <b>6.6.2.</b>
PA1, AROW, SCW
@@ -1117,14 +1138,14 @@
</li>
- <li class="chapter " data-level="6.6" data-path="../binaryclass/titanic_rf.html">
+ <li class="chapter " data-level="6.7" data-path="../binaryclass/titanic_rf.html">
<a href="../binaryclass/titanic_rf.html">
- <b>6.6.</b>
+ <b>6.7.</b>
- Kaggle Titanic
+ Kaggle Titanic tutorial
</a>
@@ -1135,7 +1156,7 @@
- <li class="header">Part VII - Multiclass classification tutorials</li>
+ <li class="header">Part VII - Multiclass classification</li>
@@ -1146,7 +1167,7 @@
<b>7.1.</b>
- News20 Multiclass
+ News20 Multiclass tutorial
</a>
@@ -1257,7 +1278,7 @@
<b>7.2.</b>
- Iris
+ Iris tutorial
</a>
@@ -1319,18 +1340,33 @@
- <li class="header">Part VIII - Regression tutorials</li>
+ <li class="header">Part VIII - Regression</li>
- <li class="chapter " data-level="8.1" data-path="../regression/e2006.html">
+ <li class="chapter " data-level="8.1" data-path="../regression/general.html">
- <a href="../regression/e2006.html">
+ <a href="../regression/general.html">
<b>8.1.</b>
- E2006-tfidf regression
+ Regression
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="8.2" data-path="../regression/e2006.html">
+
+ <a href="../regression/e2006.html">
+
+
+ <b>8.2.</b>
+
+ E2006-tfidf regression tutorial
</a>
@@ -1339,12 +1375,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.1.1" data-path="../regression/e2006_dataset.html">
+ <li class="chapter " data-level="8.2.1" data-path="../regression/e2006_dataset.html">
<a href="../regression/e2006_dataset.html">
- <b>8.1.1.</b>
+ <b>8.2.1.</b>
Data preparation
@@ -1354,12 +1390,12 @@
</li>
- <li class="chapter " data-level="8.1.2" data-path="../regression/e2006_arow.html">
+ <li class="chapter " data-level="8.2.2" data-path="../regression/e2006_arow.html">
<a href="../regression/e2006_arow.html">
- <b>8.1.2.</b>
+ <b>8.2.2.</b>
Passive Aggressive, AROW
@@ -1374,14 +1410,14 @@
</li>
- <li class="chapter " data-level="8.2" data-path="../regression/kddcup12tr2.html">
+ <li class="chapter " data-level="8.3" data-path="../regression/kddcup12tr2.html">
<a href="../regression/kddcup12tr2.html">
- <b>8.2.</b>
+ <b>8.3.</b>
- KDDCup 2012 track 2 CTR prediction
+ KDDCup 2012 track 2 CTR prediction tutorial
</a>
@@ -1390,12 +1426,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.2.1" data-path="../regression/kddcup12tr2_dataset.html">
+ <li class="chapter " data-level="8.3.1" data-path="../regression/kddcup12tr2_dataset.html">
<a href="../regression/kddcup12tr2_dataset.html">
- <b>8.2.1.</b>
+ <b>8.3.1.</b>
Data preparation
@@ -1405,12 +1441,12 @@
</li>
- <li class="chapter " data-level="8.2.2" data-path="../regression/kddcup12tr2_lr.html">
+ <li class="chapter " data-level="8.3.2" data-path="../regression/kddcup12tr2_lr.html">
<a href="../regression/kddcup12tr2_lr.html">
- <b>8.2.2.</b>
+ <b>8.3.2.</b>
Logistic Regression, Passive Aggressive
@@ -1420,12 +1456,12 @@
</li>
- <li class="chapter " data-level="8.2.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
+ <li class="chapter " data-level="8.3.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
<a href="../regression/kddcup12tr2_lr_amplify.html">
- <b>8.2.3.</b>
+ <b>8.3.3.</b>
Logistic Regression with Amplifier
@@ -1435,12 +1471,12 @@
</li>
- <li class="chapter " data-level="8.2.4" data-path="../regression/kddcup12tr2_adagrad.html">
+ <li class="chapter " data-level="8.3.4" data-path="../regression/kddcup12tr2_adagrad.html">
<a href="../regression/kddcup12tr2_adagrad.html">
- <b>8.2.4.</b>
+ <b>8.3.4.</b>
AdaGrad, AdaDelta
@@ -2129,7 +2165,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
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http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/ba518dab/userguide/tips/mixserver.html
----------------------------------------------------------------------
diff --git a/userguide/tips/mixserver.html b/userguide/tips/mixserver.html
index 12447e5..811d907 100644
--- a/userguide/tips/mixserver.html
+++ b/userguide/tips/mixserver.html
@@ -598,14 +598,30 @@
</li>
- <li class="chapter " data-level="3.5" data-path="../ft_engineering/tfidf.html">
+ <li class="chapter " data-level="3.5" data-path="../ft_engineering/pairing.html">
- <a href="../ft_engineering/tfidf.html">
+ <a href="../ft_engineering/pairing.html">
<b>3.5.</b>
- TF-IDF Calculation
+ FEATURE PAIRING
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="3.5.1" data-path="../ft_engineering/polynomial.html">
+
+ <a href="../ft_engineering/polynomial.html">
+
+
+ <b>3.5.1.</b>
+
+ Polynomial Features
</a>
@@ -613,6 +629,11 @@
</li>
+
+ </ul>
+
+ </li>
+
<li class="chapter " data-level="3.6" data-path="../ft_engineering/ft_trans.html">
<a href="../ft_engineering/ft_trans.html">
@@ -664,6 +685,21 @@
</li>
+ <li class="chapter " data-level="3.7" data-path="../ft_engineering/tfidf.html">
+
+ <a href="../ft_engineering/tfidf.html">
+
+
+ <b>3.7.</b>
+
+ TF-IDF Calculation
+
+ </a>
+
+
+
+ </li>
+
@@ -761,7 +797,7 @@
- <li class="header">Part V - Prediction</li>
+ <li class="header">Part V - Supervised Learning</li>
@@ -780,27 +816,19 @@
</li>
- <li class="chapter " data-level="5.2" data-path="../regression/general.html">
-
- <a href="../regression/general.html">
-
-
- <b>5.2.</b>
-
- Regression
-
- </a>
-
-
- </li>
- <li class="chapter " data-level="5.3" data-path="../binaryclass/general.html">
+
+ <li class="header">Part VI - Binary classification</li>
+
+
+
+ <li class="chapter " data-level="6.1" data-path="../binaryclass/general.html">
<a href="../binaryclass/general.html">
- <b>5.3.</b>
+ <b>6.1.</b>
Binary Classification
@@ -810,21 +838,14 @@
</li>
-
-
-
- <li class="header">Part VI - Binary classification tutorials</li>
-
-
-
- <li class="chapter " data-level="6.1" data-path="../binaryclass/a9a.html">
+ <li class="chapter " data-level="6.2" data-path="../binaryclass/a9a.html">
<a href="../binaryclass/a9a.html">
- <b>6.1.</b>
+ <b>6.2.</b>
- a9a
+ a9a tutorial
</a>
@@ -833,12 +854,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.1.1" data-path="../binaryclass/a9a_dataset.html">
+ <li class="chapter " data-level="6.2.1" data-path="../binaryclass/a9a_dataset.html">
<a href="../binaryclass/a9a_dataset.html">
- <b>6.1.1.</b>
+ <b>6.2.1.</b>
Data preparation
@@ -848,12 +869,12 @@
</li>
- <li class="chapter " data-level="6.1.2" data-path="../binaryclass/a9a_lr.html">
+ <li class="chapter " data-level="6.2.2" data-path="../binaryclass/a9a_lr.html">
<a href="../binaryclass/a9a_lr.html">
- <b>6.1.2.</b>
+ <b>6.2.2.</b>
Logistic Regression
@@ -863,12 +884,12 @@
</li>
- <li class="chapter " data-level="6.1.3" data-path="../binaryclass/a9a_minibatch.html">
+ <li class="chapter " data-level="6.2.3" data-path="../binaryclass/a9a_minibatch.html">
<a href="../binaryclass/a9a_minibatch.html">
- <b>6.1.3.</b>
+ <b>6.2.3.</b>
Mini-batch Gradient Descent
@@ -883,14 +904,14 @@
</li>
- <li class="chapter " data-level="6.2" data-path="../binaryclass/news20.html">
+ <li class="chapter " data-level="6.3" data-path="../binaryclass/news20.html">
<a href="../binaryclass/news20.html">
- <b>6.2.</b>
+ <b>6.3.</b>
- News20
+ News20 tutorial
</a>
@@ -899,12 +920,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.2.1" data-path="../binaryclass/news20_dataset.html">
+ <li class="chapter " data-level="6.3.1" data-path="../binaryclass/news20_dataset.html">
<a href="../binaryclass/news20_dataset.html">
- <b>6.2.1.</b>
+ <b>6.3.1.</b>
Data preparation
@@ -914,12 +935,12 @@
</li>
- <li class="chapter " data-level="6.2.2" data-path="../binaryclass/news20_pa.html">
+ <li class="chapter " data-level="6.3.2" data-path="../binaryclass/news20_pa.html">
<a href="../binaryclass/news20_pa.html">
- <b>6.2.2.</b>
+ <b>6.3.2.</b>
Perceptron, Passive Aggressive
@@ -929,12 +950,12 @@
</li>
- <li class="chapter " data-level="6.2.3" data-path="../binaryclass/news20_scw.html">
+ <li class="chapter " data-level="6.3.3" data-path="../binaryclass/news20_scw.html">
<a href="../binaryclass/news20_scw.html">
- <b>6.2.3.</b>
+ <b>6.3.3.</b>
CW, AROW, SCW
@@ -944,12 +965,12 @@
</li>
- <li class="chapter " data-level="6.2.4" data-path="../binaryclass/news20_adagrad.html">
+ <li class="chapter " data-level="6.3.4" data-path="../binaryclass/news20_adagrad.html">
<a href="../binaryclass/news20_adagrad.html">
- <b>6.2.4.</b>
+ <b>6.3.4.</b>
AdaGradRDA, AdaGrad, AdaDelta
@@ -964,14 +985,14 @@
</li>
- <li class="chapter " data-level="6.3" data-path="../binaryclass/kdd2010a.html">
+ <li class="chapter " data-level="6.4" data-path="../binaryclass/kdd2010a.html">
<a href="../binaryclass/kdd2010a.html">
- <b>6.3.</b>
+ <b>6.4.</b>
- KDD2010a
+ KDD2010a tutorial
</a>
@@ -980,12 +1001,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.3.1" data-path="../binaryclass/kdd2010a_dataset.html">
+ <li class="chapter " data-level="6.4.1" data-path="../binaryclass/kdd2010a_dataset.html">
<a href="../binaryclass/kdd2010a_dataset.html">
- <b>6.3.1.</b>
+ <b>6.4.1.</b>
Data preparation
@@ -995,12 +1016,12 @@
</li>
- <li class="chapter " data-level="6.3.2" data-path="../binaryclass/kdd2010a_scw.html">
+ <li class="chapter " data-level="6.4.2" data-path="../binaryclass/kdd2010a_scw.html">
<a href="../binaryclass/kdd2010a_scw.html">
- <b>6.3.2.</b>
+ <b>6.4.2.</b>
PA, CW, AROW, SCW
@@ -1015,14 +1036,14 @@
</li>
- <li class="chapter " data-level="6.4" data-path="../binaryclass/kdd2010b.html">
+ <li class="chapter " data-level="6.5" data-path="../binaryclass/kdd2010b.html">
<a href="../binaryclass/kdd2010b.html">
- <b>6.4.</b>
+ <b>6.5.</b>
- KDD2010b
+ KDD2010b tutorial
</a>
@@ -1031,12 +1052,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.4.1" data-path="../binaryclass/kdd2010b_dataset.html">
+ <li class="chapter " data-level="6.5.1" data-path="../binaryclass/kdd2010b_dataset.html">
<a href="../binaryclass/kdd2010b_dataset.html">
- <b>6.4.1.</b>
+ <b>6.5.1.</b>
Data preparation
@@ -1046,12 +1067,12 @@
</li>
- <li class="chapter " data-level="6.4.2" data-path="../binaryclass/kdd2010b_arow.html">
+ <li class="chapter " data-level="6.5.2" data-path="../binaryclass/kdd2010b_arow.html">
<a href="../binaryclass/kdd2010b_arow.html">
- <b>6.4.2.</b>
+ <b>6.5.2.</b>
AROW
@@ -1066,14 +1087,14 @@
</li>
- <li class="chapter " data-level="6.5" data-path="../binaryclass/webspam.html">
+ <li class="chapter " data-level="6.6" data-path="../binaryclass/webspam.html">
<a href="../binaryclass/webspam.html">
- <b>6.5.</b>
+ <b>6.6.</b>
- Webspam
+ Webspam tutorial
</a>
@@ -1082,12 +1103,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.5.1" data-path="../binaryclass/webspam_dataset.html">
+ <li class="chapter " data-level="6.6.1" data-path="../binaryclass/webspam_dataset.html">
<a href="../binaryclass/webspam_dataset.html">
- <b>6.5.1.</b>
+ <b>6.6.1.</b>
Data pareparation
@@ -1097,12 +1118,12 @@
</li>
- <li class="chapter " data-level="6.5.2" data-path="../binaryclass/webspam_scw.html">
+ <li class="chapter " data-level="6.6.2" data-path="../binaryclass/webspam_scw.html">
<a href="../binaryclass/webspam_scw.html">
- <b>6.5.2.</b>
+ <b>6.6.2.</b>
PA1, AROW, SCW
@@ -1117,14 +1138,14 @@
</li>
- <li class="chapter " data-level="6.6" data-path="../binaryclass/titanic_rf.html">
+ <li class="chapter " data-level="6.7" data-path="../binaryclass/titanic_rf.html">
<a href="../binaryclass/titanic_rf.html">
- <b>6.6.</b>
+ <b>6.7.</b>
- Kaggle Titanic
+ Kaggle Titanic tutorial
</a>
@@ -1135,7 +1156,7 @@
- <li class="header">Part VII - Multiclass classification tutorials</li>
+ <li class="header">Part VII - Multiclass classification</li>
@@ -1146,7 +1167,7 @@
<b>7.1.</b>
- News20 Multiclass
+ News20 Multiclass tutorial
</a>
@@ -1257,7 +1278,7 @@
<b>7.2.</b>
- Iris
+ Iris tutorial
</a>
@@ -1319,18 +1340,33 @@
- <li class="header">Part VIII - Regression tutorials</li>
+ <li class="header">Part VIII - Regression</li>
- <li class="chapter " data-level="8.1" data-path="../regression/e2006.html">
+ <li class="chapter " data-level="8.1" data-path="../regression/general.html">
- <a href="../regression/e2006.html">
+ <a href="../regression/general.html">
<b>8.1.</b>
- E2006-tfidf regression
+ Regression
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="8.2" data-path="../regression/e2006.html">
+
+ <a href="../regression/e2006.html">
+
+
+ <b>8.2.</b>
+
+ E2006-tfidf regression tutorial
</a>
@@ -1339,12 +1375,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.1.1" data-path="../regression/e2006_dataset.html">
+ <li class="chapter " data-level="8.2.1" data-path="../regression/e2006_dataset.html">
<a href="../regression/e2006_dataset.html">
- <b>8.1.1.</b>
+ <b>8.2.1.</b>
Data preparation
@@ -1354,12 +1390,12 @@
</li>
- <li class="chapter " data-level="8.1.2" data-path="../regression/e2006_arow.html">
+ <li class="chapter " data-level="8.2.2" data-path="../regression/e2006_arow.html">
<a href="../regression/e2006_arow.html">
- <b>8.1.2.</b>
+ <b>8.2.2.</b>
Passive Aggressive, AROW
@@ -1374,14 +1410,14 @@
</li>
- <li class="chapter " data-level="8.2" data-path="../regression/kddcup12tr2.html">
+ <li class="chapter " data-level="8.3" data-path="../regression/kddcup12tr2.html">
<a href="../regression/kddcup12tr2.html">
- <b>8.2.</b>
+ <b>8.3.</b>
- KDDCup 2012 track 2 CTR prediction
+ KDDCup 2012 track 2 CTR prediction tutorial
</a>
@@ -1390,12 +1426,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.2.1" data-path="../regression/kddcup12tr2_dataset.html">
+ <li class="chapter " data-level="8.3.1" data-path="../regression/kddcup12tr2_dataset.html">
<a href="../regression/kddcup12tr2_dataset.html">
- <b>8.2.1.</b>
+ <b>8.3.1.</b>
Data preparation
@@ -1405,12 +1441,12 @@
</li>
- <li class="chapter " data-level="8.2.2" data-path="../regression/kddcup12tr2_lr.html">
+ <li class="chapter " data-level="8.3.2" data-path="../regression/kddcup12tr2_lr.html">
<a href="../regression/kddcup12tr2_lr.html">
- <b>8.2.2.</b>
+ <b>8.3.2.</b>
Logistic Regression, Passive Aggressive
@@ -1420,12 +1456,12 @@
</li>
- <li class="chapter " data-level="8.2.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
+ <li class="chapter " data-level="8.3.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
<a href="../regression/kddcup12tr2_lr_amplify.html">
- <b>8.2.3.</b>
+ <b>8.3.3.</b>
Logistic Regression with Amplifier
@@ -1435,12 +1471,12 @@
</li>
- <li class="chapter " data-level="8.2.4" data-path="../regression/kddcup12tr2_adagrad.html">
+ <li class="chapter " data-level="8.3.4" data-path="../regression/kddcup12tr2_adagrad.html">
<a href="../regression/kddcup12tr2_adagrad.html">
- <b>8.2.4.</b>
+ <b>8.3.4.</b>
AdaGrad, AdaDelta
@@ -2184,7 +2220,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
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[02/41] incubator-hivemall-site git commit: Added descriptions about
Feature Pairing in the user guide
Posted by my...@apache.org.
http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/ba518dab/userguide/troubleshooting/asterisk.html
----------------------------------------------------------------------
diff --git a/userguide/troubleshooting/asterisk.html b/userguide/troubleshooting/asterisk.html
index fb3bcbb..9539d6f 100644
--- a/userguide/troubleshooting/asterisk.html
+++ b/userguide/troubleshooting/asterisk.html
@@ -598,14 +598,30 @@
</li>
- <li class="chapter " data-level="3.5" data-path="../ft_engineering/tfidf.html">
+ <li class="chapter " data-level="3.5" data-path="../ft_engineering/pairing.html">
- <a href="../ft_engineering/tfidf.html">
+ <a href="../ft_engineering/pairing.html">
<b>3.5.</b>
- TF-IDF Calculation
+ FEATURE PAIRING
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="3.5.1" data-path="../ft_engineering/polynomial.html">
+
+ <a href="../ft_engineering/polynomial.html">
+
+
+ <b>3.5.1.</b>
+
+ Polynomial Features
</a>
@@ -613,6 +629,11 @@
</li>
+
+ </ul>
+
+ </li>
+
<li class="chapter " data-level="3.6" data-path="../ft_engineering/ft_trans.html">
<a href="../ft_engineering/ft_trans.html">
@@ -664,6 +685,21 @@
</li>
+ <li class="chapter " data-level="3.7" data-path="../ft_engineering/tfidf.html">
+
+ <a href="../ft_engineering/tfidf.html">
+
+
+ <b>3.7.</b>
+
+ TF-IDF Calculation
+
+ </a>
+
+
+
+ </li>
+
@@ -761,7 +797,7 @@
- <li class="header">Part V - Prediction</li>
+ <li class="header">Part V - Supervised Learning</li>
@@ -780,27 +816,19 @@
</li>
- <li class="chapter " data-level="5.2" data-path="../regression/general.html">
-
- <a href="../regression/general.html">
-
-
- <b>5.2.</b>
-
- Regression
-
- </a>
-
-
- </li>
- <li class="chapter " data-level="5.3" data-path="../binaryclass/general.html">
+
+ <li class="header">Part VI - Binary classification</li>
+
+
+
+ <li class="chapter " data-level="6.1" data-path="../binaryclass/general.html">
<a href="../binaryclass/general.html">
- <b>5.3.</b>
+ <b>6.1.</b>
Binary Classification
@@ -810,21 +838,14 @@
</li>
-
-
-
- <li class="header">Part VI - Binary classification tutorials</li>
-
-
-
- <li class="chapter " data-level="6.1" data-path="../binaryclass/a9a.html">
+ <li class="chapter " data-level="6.2" data-path="../binaryclass/a9a.html">
<a href="../binaryclass/a9a.html">
- <b>6.1.</b>
+ <b>6.2.</b>
- a9a
+ a9a tutorial
</a>
@@ -833,12 +854,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.1.1" data-path="../binaryclass/a9a_dataset.html">
+ <li class="chapter " data-level="6.2.1" data-path="../binaryclass/a9a_dataset.html">
<a href="../binaryclass/a9a_dataset.html">
- <b>6.1.1.</b>
+ <b>6.2.1.</b>
Data preparation
@@ -848,12 +869,12 @@
</li>
- <li class="chapter " data-level="6.1.2" data-path="../binaryclass/a9a_lr.html">
+ <li class="chapter " data-level="6.2.2" data-path="../binaryclass/a9a_lr.html">
<a href="../binaryclass/a9a_lr.html">
- <b>6.1.2.</b>
+ <b>6.2.2.</b>
Logistic Regression
@@ -863,12 +884,12 @@
</li>
- <li class="chapter " data-level="6.1.3" data-path="../binaryclass/a9a_minibatch.html">
+ <li class="chapter " data-level="6.2.3" data-path="../binaryclass/a9a_minibatch.html">
<a href="../binaryclass/a9a_minibatch.html">
- <b>6.1.3.</b>
+ <b>6.2.3.</b>
Mini-batch Gradient Descent
@@ -883,14 +904,14 @@
</li>
- <li class="chapter " data-level="6.2" data-path="../binaryclass/news20.html">
+ <li class="chapter " data-level="6.3" data-path="../binaryclass/news20.html">
<a href="../binaryclass/news20.html">
- <b>6.2.</b>
+ <b>6.3.</b>
- News20
+ News20 tutorial
</a>
@@ -899,12 +920,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.2.1" data-path="../binaryclass/news20_dataset.html">
+ <li class="chapter " data-level="6.3.1" data-path="../binaryclass/news20_dataset.html">
<a href="../binaryclass/news20_dataset.html">
- <b>6.2.1.</b>
+ <b>6.3.1.</b>
Data preparation
@@ -914,12 +935,12 @@
</li>
- <li class="chapter " data-level="6.2.2" data-path="../binaryclass/news20_pa.html">
+ <li class="chapter " data-level="6.3.2" data-path="../binaryclass/news20_pa.html">
<a href="../binaryclass/news20_pa.html">
- <b>6.2.2.</b>
+ <b>6.3.2.</b>
Perceptron, Passive Aggressive
@@ -929,12 +950,12 @@
</li>
- <li class="chapter " data-level="6.2.3" data-path="../binaryclass/news20_scw.html">
+ <li class="chapter " data-level="6.3.3" data-path="../binaryclass/news20_scw.html">
<a href="../binaryclass/news20_scw.html">
- <b>6.2.3.</b>
+ <b>6.3.3.</b>
CW, AROW, SCW
@@ -944,12 +965,12 @@
</li>
- <li class="chapter " data-level="6.2.4" data-path="../binaryclass/news20_adagrad.html">
+ <li class="chapter " data-level="6.3.4" data-path="../binaryclass/news20_adagrad.html">
<a href="../binaryclass/news20_adagrad.html">
- <b>6.2.4.</b>
+ <b>6.3.4.</b>
AdaGradRDA, AdaGrad, AdaDelta
@@ -964,14 +985,14 @@
</li>
- <li class="chapter " data-level="6.3" data-path="../binaryclass/kdd2010a.html">
+ <li class="chapter " data-level="6.4" data-path="../binaryclass/kdd2010a.html">
<a href="../binaryclass/kdd2010a.html">
- <b>6.3.</b>
+ <b>6.4.</b>
- KDD2010a
+ KDD2010a tutorial
</a>
@@ -980,12 +1001,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.3.1" data-path="../binaryclass/kdd2010a_dataset.html">
+ <li class="chapter " data-level="6.4.1" data-path="../binaryclass/kdd2010a_dataset.html">
<a href="../binaryclass/kdd2010a_dataset.html">
- <b>6.3.1.</b>
+ <b>6.4.1.</b>
Data preparation
@@ -995,12 +1016,12 @@
</li>
- <li class="chapter " data-level="6.3.2" data-path="../binaryclass/kdd2010a_scw.html">
+ <li class="chapter " data-level="6.4.2" data-path="../binaryclass/kdd2010a_scw.html">
<a href="../binaryclass/kdd2010a_scw.html">
- <b>6.3.2.</b>
+ <b>6.4.2.</b>
PA, CW, AROW, SCW
@@ -1015,14 +1036,14 @@
</li>
- <li class="chapter " data-level="6.4" data-path="../binaryclass/kdd2010b.html">
+ <li class="chapter " data-level="6.5" data-path="../binaryclass/kdd2010b.html">
<a href="../binaryclass/kdd2010b.html">
- <b>6.4.</b>
+ <b>6.5.</b>
- KDD2010b
+ KDD2010b tutorial
</a>
@@ -1031,12 +1052,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.4.1" data-path="../binaryclass/kdd2010b_dataset.html">
+ <li class="chapter " data-level="6.5.1" data-path="../binaryclass/kdd2010b_dataset.html">
<a href="../binaryclass/kdd2010b_dataset.html">
- <b>6.4.1.</b>
+ <b>6.5.1.</b>
Data preparation
@@ -1046,12 +1067,12 @@
</li>
- <li class="chapter " data-level="6.4.2" data-path="../binaryclass/kdd2010b_arow.html">
+ <li class="chapter " data-level="6.5.2" data-path="../binaryclass/kdd2010b_arow.html">
<a href="../binaryclass/kdd2010b_arow.html">
- <b>6.4.2.</b>
+ <b>6.5.2.</b>
AROW
@@ -1066,14 +1087,14 @@
</li>
- <li class="chapter " data-level="6.5" data-path="../binaryclass/webspam.html">
+ <li class="chapter " data-level="6.6" data-path="../binaryclass/webspam.html">
<a href="../binaryclass/webspam.html">
- <b>6.5.</b>
+ <b>6.6.</b>
- Webspam
+ Webspam tutorial
</a>
@@ -1082,12 +1103,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.5.1" data-path="../binaryclass/webspam_dataset.html">
+ <li class="chapter " data-level="6.6.1" data-path="../binaryclass/webspam_dataset.html">
<a href="../binaryclass/webspam_dataset.html">
- <b>6.5.1.</b>
+ <b>6.6.1.</b>
Data pareparation
@@ -1097,12 +1118,12 @@
</li>
- <li class="chapter " data-level="6.5.2" data-path="../binaryclass/webspam_scw.html">
+ <li class="chapter " data-level="6.6.2" data-path="../binaryclass/webspam_scw.html">
<a href="../binaryclass/webspam_scw.html">
- <b>6.5.2.</b>
+ <b>6.6.2.</b>
PA1, AROW, SCW
@@ -1117,14 +1138,14 @@
</li>
- <li class="chapter " data-level="6.6" data-path="../binaryclass/titanic_rf.html">
+ <li class="chapter " data-level="6.7" data-path="../binaryclass/titanic_rf.html">
<a href="../binaryclass/titanic_rf.html">
- <b>6.6.</b>
+ <b>6.7.</b>
- Kaggle Titanic
+ Kaggle Titanic tutorial
</a>
@@ -1135,7 +1156,7 @@
- <li class="header">Part VII - Multiclass classification tutorials</li>
+ <li class="header">Part VII - Multiclass classification</li>
@@ -1146,7 +1167,7 @@
<b>7.1.</b>
- News20 Multiclass
+ News20 Multiclass tutorial
</a>
@@ -1257,7 +1278,7 @@
<b>7.2.</b>
- Iris
+ Iris tutorial
</a>
@@ -1319,18 +1340,33 @@
- <li class="header">Part VIII - Regression tutorials</li>
+ <li class="header">Part VIII - Regression</li>
- <li class="chapter " data-level="8.1" data-path="../regression/e2006.html">
+ <li class="chapter " data-level="8.1" data-path="../regression/general.html">
- <a href="../regression/e2006.html">
+ <a href="../regression/general.html">
<b>8.1.</b>
- E2006-tfidf regression
+ Regression
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="8.2" data-path="../regression/e2006.html">
+
+ <a href="../regression/e2006.html">
+
+
+ <b>8.2.</b>
+
+ E2006-tfidf regression tutorial
</a>
@@ -1339,12 +1375,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.1.1" data-path="../regression/e2006_dataset.html">
+ <li class="chapter " data-level="8.2.1" data-path="../regression/e2006_dataset.html">
<a href="../regression/e2006_dataset.html">
- <b>8.1.1.</b>
+ <b>8.2.1.</b>
Data preparation
@@ -1354,12 +1390,12 @@
</li>
- <li class="chapter " data-level="8.1.2" data-path="../regression/e2006_arow.html">
+ <li class="chapter " data-level="8.2.2" data-path="../regression/e2006_arow.html">
<a href="../regression/e2006_arow.html">
- <b>8.1.2.</b>
+ <b>8.2.2.</b>
Passive Aggressive, AROW
@@ -1374,14 +1410,14 @@
</li>
- <li class="chapter " data-level="8.2" data-path="../regression/kddcup12tr2.html">
+ <li class="chapter " data-level="8.3" data-path="../regression/kddcup12tr2.html">
<a href="../regression/kddcup12tr2.html">
- <b>8.2.</b>
+ <b>8.3.</b>
- KDDCup 2012 track 2 CTR prediction
+ KDDCup 2012 track 2 CTR prediction tutorial
</a>
@@ -1390,12 +1426,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.2.1" data-path="../regression/kddcup12tr2_dataset.html">
+ <li class="chapter " data-level="8.3.1" data-path="../regression/kddcup12tr2_dataset.html">
<a href="../regression/kddcup12tr2_dataset.html">
- <b>8.2.1.</b>
+ <b>8.3.1.</b>
Data preparation
@@ -1405,12 +1441,12 @@
</li>
- <li class="chapter " data-level="8.2.2" data-path="../regression/kddcup12tr2_lr.html">
+ <li class="chapter " data-level="8.3.2" data-path="../regression/kddcup12tr2_lr.html">
<a href="../regression/kddcup12tr2_lr.html">
- <b>8.2.2.</b>
+ <b>8.3.2.</b>
Logistic Regression, Passive Aggressive
@@ -1420,12 +1456,12 @@
</li>
- <li class="chapter " data-level="8.2.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
+ <li class="chapter " data-level="8.3.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
<a href="../regression/kddcup12tr2_lr_amplify.html">
- <b>8.2.3.</b>
+ <b>8.3.3.</b>
Logistic Regression with Amplifier
@@ -1435,12 +1471,12 @@
</li>
- <li class="chapter " data-level="8.2.4" data-path="../regression/kddcup12tr2_adagrad.html">
+ <li class="chapter " data-level="8.3.4" data-path="../regression/kddcup12tr2_adagrad.html">
<a href="../regression/kddcup12tr2_adagrad.html">
- <b>8.2.4.</b>
+ <b>8.3.4.</b>
AdaGrad, AdaDelta
@@ -2131,7 +2167,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
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----------------------------------------------------------------------
diff --git a/userguide/troubleshooting/index.html b/userguide/troubleshooting/index.html
index 0421733..ab84e6e 100644
--- a/userguide/troubleshooting/index.html
+++ b/userguide/troubleshooting/index.html
@@ -598,14 +598,30 @@
</li>
- <li class="chapter " data-level="3.5" data-path="../ft_engineering/tfidf.html">
+ <li class="chapter " data-level="3.5" data-path="../ft_engineering/pairing.html">
- <a href="../ft_engineering/tfidf.html">
+ <a href="../ft_engineering/pairing.html">
<b>3.5.</b>
- TF-IDF Calculation
+ FEATURE PAIRING
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="3.5.1" data-path="../ft_engineering/polynomial.html">
+
+ <a href="../ft_engineering/polynomial.html">
+
+
+ <b>3.5.1.</b>
+
+ Polynomial Features
</a>
@@ -613,6 +629,11 @@
</li>
+
+ </ul>
+
+ </li>
+
<li class="chapter " data-level="3.6" data-path="../ft_engineering/ft_trans.html">
<a href="../ft_engineering/ft_trans.html">
@@ -664,6 +685,21 @@
</li>
+ <li class="chapter " data-level="3.7" data-path="../ft_engineering/tfidf.html">
+
+ <a href="../ft_engineering/tfidf.html">
+
+
+ <b>3.7.</b>
+
+ TF-IDF Calculation
+
+ </a>
+
+
+
+ </li>
+
@@ -761,7 +797,7 @@
- <li class="header">Part V - Prediction</li>
+ <li class="header">Part V - Supervised Learning</li>
@@ -780,27 +816,19 @@
</li>
- <li class="chapter " data-level="5.2" data-path="../regression/general.html">
-
- <a href="../regression/general.html">
-
-
- <b>5.2.</b>
-
- Regression
-
- </a>
-
-
- </li>
- <li class="chapter " data-level="5.3" data-path="../binaryclass/general.html">
+
+ <li class="header">Part VI - Binary classification</li>
+
+
+
+ <li class="chapter " data-level="6.1" data-path="../binaryclass/general.html">
<a href="../binaryclass/general.html">
- <b>5.3.</b>
+ <b>6.1.</b>
Binary Classification
@@ -810,21 +838,14 @@
</li>
-
-
-
- <li class="header">Part VI - Binary classification tutorials</li>
-
-
-
- <li class="chapter " data-level="6.1" data-path="../binaryclass/a9a.html">
+ <li class="chapter " data-level="6.2" data-path="../binaryclass/a9a.html">
<a href="../binaryclass/a9a.html">
- <b>6.1.</b>
+ <b>6.2.</b>
- a9a
+ a9a tutorial
</a>
@@ -833,12 +854,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.1.1" data-path="../binaryclass/a9a_dataset.html">
+ <li class="chapter " data-level="6.2.1" data-path="../binaryclass/a9a_dataset.html">
<a href="../binaryclass/a9a_dataset.html">
- <b>6.1.1.</b>
+ <b>6.2.1.</b>
Data preparation
@@ -848,12 +869,12 @@
</li>
- <li class="chapter " data-level="6.1.2" data-path="../binaryclass/a9a_lr.html">
+ <li class="chapter " data-level="6.2.2" data-path="../binaryclass/a9a_lr.html">
<a href="../binaryclass/a9a_lr.html">
- <b>6.1.2.</b>
+ <b>6.2.2.</b>
Logistic Regression
@@ -863,12 +884,12 @@
</li>
- <li class="chapter " data-level="6.1.3" data-path="../binaryclass/a9a_minibatch.html">
+ <li class="chapter " data-level="6.2.3" data-path="../binaryclass/a9a_minibatch.html">
<a href="../binaryclass/a9a_minibatch.html">
- <b>6.1.3.</b>
+ <b>6.2.3.</b>
Mini-batch Gradient Descent
@@ -883,14 +904,14 @@
</li>
- <li class="chapter " data-level="6.2" data-path="../binaryclass/news20.html">
+ <li class="chapter " data-level="6.3" data-path="../binaryclass/news20.html">
<a href="../binaryclass/news20.html">
- <b>6.2.</b>
+ <b>6.3.</b>
- News20
+ News20 tutorial
</a>
@@ -899,12 +920,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.2.1" data-path="../binaryclass/news20_dataset.html">
+ <li class="chapter " data-level="6.3.1" data-path="../binaryclass/news20_dataset.html">
<a href="../binaryclass/news20_dataset.html">
- <b>6.2.1.</b>
+ <b>6.3.1.</b>
Data preparation
@@ -914,12 +935,12 @@
</li>
- <li class="chapter " data-level="6.2.2" data-path="../binaryclass/news20_pa.html">
+ <li class="chapter " data-level="6.3.2" data-path="../binaryclass/news20_pa.html">
<a href="../binaryclass/news20_pa.html">
- <b>6.2.2.</b>
+ <b>6.3.2.</b>
Perceptron, Passive Aggressive
@@ -929,12 +950,12 @@
</li>
- <li class="chapter " data-level="6.2.3" data-path="../binaryclass/news20_scw.html">
+ <li class="chapter " data-level="6.3.3" data-path="../binaryclass/news20_scw.html">
<a href="../binaryclass/news20_scw.html">
- <b>6.2.3.</b>
+ <b>6.3.3.</b>
CW, AROW, SCW
@@ -944,12 +965,12 @@
</li>
- <li class="chapter " data-level="6.2.4" data-path="../binaryclass/news20_adagrad.html">
+ <li class="chapter " data-level="6.3.4" data-path="../binaryclass/news20_adagrad.html">
<a href="../binaryclass/news20_adagrad.html">
- <b>6.2.4.</b>
+ <b>6.3.4.</b>
AdaGradRDA, AdaGrad, AdaDelta
@@ -964,14 +985,14 @@
</li>
- <li class="chapter " data-level="6.3" data-path="../binaryclass/kdd2010a.html">
+ <li class="chapter " data-level="6.4" data-path="../binaryclass/kdd2010a.html">
<a href="../binaryclass/kdd2010a.html">
- <b>6.3.</b>
+ <b>6.4.</b>
- KDD2010a
+ KDD2010a tutorial
</a>
@@ -980,12 +1001,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.3.1" data-path="../binaryclass/kdd2010a_dataset.html">
+ <li class="chapter " data-level="6.4.1" data-path="../binaryclass/kdd2010a_dataset.html">
<a href="../binaryclass/kdd2010a_dataset.html">
- <b>6.3.1.</b>
+ <b>6.4.1.</b>
Data preparation
@@ -995,12 +1016,12 @@
</li>
- <li class="chapter " data-level="6.3.2" data-path="../binaryclass/kdd2010a_scw.html">
+ <li class="chapter " data-level="6.4.2" data-path="../binaryclass/kdd2010a_scw.html">
<a href="../binaryclass/kdd2010a_scw.html">
- <b>6.3.2.</b>
+ <b>6.4.2.</b>
PA, CW, AROW, SCW
@@ -1015,14 +1036,14 @@
</li>
- <li class="chapter " data-level="6.4" data-path="../binaryclass/kdd2010b.html">
+ <li class="chapter " data-level="6.5" data-path="../binaryclass/kdd2010b.html">
<a href="../binaryclass/kdd2010b.html">
- <b>6.4.</b>
+ <b>6.5.</b>
- KDD2010b
+ KDD2010b tutorial
</a>
@@ -1031,12 +1052,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.4.1" data-path="../binaryclass/kdd2010b_dataset.html">
+ <li class="chapter " data-level="6.5.1" data-path="../binaryclass/kdd2010b_dataset.html">
<a href="../binaryclass/kdd2010b_dataset.html">
- <b>6.4.1.</b>
+ <b>6.5.1.</b>
Data preparation
@@ -1046,12 +1067,12 @@
</li>
- <li class="chapter " data-level="6.4.2" data-path="../binaryclass/kdd2010b_arow.html">
+ <li class="chapter " data-level="6.5.2" data-path="../binaryclass/kdd2010b_arow.html">
<a href="../binaryclass/kdd2010b_arow.html">
- <b>6.4.2.</b>
+ <b>6.5.2.</b>
AROW
@@ -1066,14 +1087,14 @@
</li>
- <li class="chapter " data-level="6.5" data-path="../binaryclass/webspam.html">
+ <li class="chapter " data-level="6.6" data-path="../binaryclass/webspam.html">
<a href="../binaryclass/webspam.html">
- <b>6.5.</b>
+ <b>6.6.</b>
- Webspam
+ Webspam tutorial
</a>
@@ -1082,12 +1103,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.5.1" data-path="../binaryclass/webspam_dataset.html">
+ <li class="chapter " data-level="6.6.1" data-path="../binaryclass/webspam_dataset.html">
<a href="../binaryclass/webspam_dataset.html">
- <b>6.5.1.</b>
+ <b>6.6.1.</b>
Data pareparation
@@ -1097,12 +1118,12 @@
</li>
- <li class="chapter " data-level="6.5.2" data-path="../binaryclass/webspam_scw.html">
+ <li class="chapter " data-level="6.6.2" data-path="../binaryclass/webspam_scw.html">
<a href="../binaryclass/webspam_scw.html">
- <b>6.5.2.</b>
+ <b>6.6.2.</b>
PA1, AROW, SCW
@@ -1117,14 +1138,14 @@
</li>
- <li class="chapter " data-level="6.6" data-path="../binaryclass/titanic_rf.html">
+ <li class="chapter " data-level="6.7" data-path="../binaryclass/titanic_rf.html">
<a href="../binaryclass/titanic_rf.html">
- <b>6.6.</b>
+ <b>6.7.</b>
- Kaggle Titanic
+ Kaggle Titanic tutorial
</a>
@@ -1135,7 +1156,7 @@
- <li class="header">Part VII - Multiclass classification tutorials</li>
+ <li class="header">Part VII - Multiclass classification</li>
@@ -1146,7 +1167,7 @@
<b>7.1.</b>
- News20 Multiclass
+ News20 Multiclass tutorial
</a>
@@ -1257,7 +1278,7 @@
<b>7.2.</b>
- Iris
+ Iris tutorial
</a>
@@ -1319,18 +1340,33 @@
- <li class="header">Part VIII - Regression tutorials</li>
+ <li class="header">Part VIII - Regression</li>
- <li class="chapter " data-level="8.1" data-path="../regression/e2006.html">
+ <li class="chapter " data-level="8.1" data-path="../regression/general.html">
- <a href="../regression/e2006.html">
+ <a href="../regression/general.html">
<b>8.1.</b>
- E2006-tfidf regression
+ Regression
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="8.2" data-path="../regression/e2006.html">
+
+ <a href="../regression/e2006.html">
+
+
+ <b>8.2.</b>
+
+ E2006-tfidf regression tutorial
</a>
@@ -1339,12 +1375,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.1.1" data-path="../regression/e2006_dataset.html">
+ <li class="chapter " data-level="8.2.1" data-path="../regression/e2006_dataset.html">
<a href="../regression/e2006_dataset.html">
- <b>8.1.1.</b>
+ <b>8.2.1.</b>
Data preparation
@@ -1354,12 +1390,12 @@
</li>
- <li class="chapter " data-level="8.1.2" data-path="../regression/e2006_arow.html">
+ <li class="chapter " data-level="8.2.2" data-path="../regression/e2006_arow.html">
<a href="../regression/e2006_arow.html">
- <b>8.1.2.</b>
+ <b>8.2.2.</b>
Passive Aggressive, AROW
@@ -1374,14 +1410,14 @@
</li>
- <li class="chapter " data-level="8.2" data-path="../regression/kddcup12tr2.html">
+ <li class="chapter " data-level="8.3" data-path="../regression/kddcup12tr2.html">
<a href="../regression/kddcup12tr2.html">
- <b>8.2.</b>
+ <b>8.3.</b>
- KDDCup 2012 track 2 CTR prediction
+ KDDCup 2012 track 2 CTR prediction tutorial
</a>
@@ -1390,12 +1426,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.2.1" data-path="../regression/kddcup12tr2_dataset.html">
+ <li class="chapter " data-level="8.3.1" data-path="../regression/kddcup12tr2_dataset.html">
<a href="../regression/kddcup12tr2_dataset.html">
- <b>8.2.1.</b>
+ <b>8.3.1.</b>
Data preparation
@@ -1405,12 +1441,12 @@
</li>
- <li class="chapter " data-level="8.2.2" data-path="../regression/kddcup12tr2_lr.html">
+ <li class="chapter " data-level="8.3.2" data-path="../regression/kddcup12tr2_lr.html">
<a href="../regression/kddcup12tr2_lr.html">
- <b>8.2.2.</b>
+ <b>8.3.2.</b>
Logistic Regression, Passive Aggressive
@@ -1420,12 +1456,12 @@
</li>
- <li class="chapter " data-level="8.2.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
+ <li class="chapter " data-level="8.3.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
<a href="../regression/kddcup12tr2_lr_amplify.html">
- <b>8.2.3.</b>
+ <b>8.3.3.</b>
Logistic Regression with Amplifier
@@ -1435,12 +1471,12 @@
</li>
- <li class="chapter " data-level="8.2.4" data-path="../regression/kddcup12tr2_adagrad.html">
+ <li class="chapter " data-level="8.3.4" data-path="../regression/kddcup12tr2_adagrad.html">
<a href="../regression/kddcup12tr2_adagrad.html">
- <b>8.2.4.</b>
+ <b>8.3.4.</b>
AdaGrad, AdaDelta
@@ -2129,7 +2165,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
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http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/ba518dab/userguide/troubleshooting/mapjoin_classcastex.html
----------------------------------------------------------------------
diff --git a/userguide/troubleshooting/mapjoin_classcastex.html b/userguide/troubleshooting/mapjoin_classcastex.html
index ffda734..8cc31e0 100644
--- a/userguide/troubleshooting/mapjoin_classcastex.html
+++ b/userguide/troubleshooting/mapjoin_classcastex.html
@@ -598,14 +598,30 @@
</li>
- <li class="chapter " data-level="3.5" data-path="../ft_engineering/tfidf.html">
+ <li class="chapter " data-level="3.5" data-path="../ft_engineering/pairing.html">
- <a href="../ft_engineering/tfidf.html">
+ <a href="../ft_engineering/pairing.html">
<b>3.5.</b>
- TF-IDF Calculation
+ FEATURE PAIRING
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="3.5.1" data-path="../ft_engineering/polynomial.html">
+
+ <a href="../ft_engineering/polynomial.html">
+
+
+ <b>3.5.1.</b>
+
+ Polynomial Features
</a>
@@ -613,6 +629,11 @@
</li>
+
+ </ul>
+
+ </li>
+
<li class="chapter " data-level="3.6" data-path="../ft_engineering/ft_trans.html">
<a href="../ft_engineering/ft_trans.html">
@@ -664,6 +685,21 @@
</li>
+ <li class="chapter " data-level="3.7" data-path="../ft_engineering/tfidf.html">
+
+ <a href="../ft_engineering/tfidf.html">
+
+
+ <b>3.7.</b>
+
+ TF-IDF Calculation
+
+ </a>
+
+
+
+ </li>
+
@@ -761,7 +797,7 @@
- <li class="header">Part V - Prediction</li>
+ <li class="header">Part V - Supervised Learning</li>
@@ -780,27 +816,19 @@
</li>
- <li class="chapter " data-level="5.2" data-path="../regression/general.html">
-
- <a href="../regression/general.html">
-
-
- <b>5.2.</b>
-
- Regression
-
- </a>
-
-
- </li>
- <li class="chapter " data-level="5.3" data-path="../binaryclass/general.html">
+
+ <li class="header">Part VI - Binary classification</li>
+
+
+
+ <li class="chapter " data-level="6.1" data-path="../binaryclass/general.html">
<a href="../binaryclass/general.html">
- <b>5.3.</b>
+ <b>6.1.</b>
Binary Classification
@@ -810,21 +838,14 @@
</li>
-
-
-
- <li class="header">Part VI - Binary classification tutorials</li>
-
-
-
- <li class="chapter " data-level="6.1" data-path="../binaryclass/a9a.html">
+ <li class="chapter " data-level="6.2" data-path="../binaryclass/a9a.html">
<a href="../binaryclass/a9a.html">
- <b>6.1.</b>
+ <b>6.2.</b>
- a9a
+ a9a tutorial
</a>
@@ -833,12 +854,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.1.1" data-path="../binaryclass/a9a_dataset.html">
+ <li class="chapter " data-level="6.2.1" data-path="../binaryclass/a9a_dataset.html">
<a href="../binaryclass/a9a_dataset.html">
- <b>6.1.1.</b>
+ <b>6.2.1.</b>
Data preparation
@@ -848,12 +869,12 @@
</li>
- <li class="chapter " data-level="6.1.2" data-path="../binaryclass/a9a_lr.html">
+ <li class="chapter " data-level="6.2.2" data-path="../binaryclass/a9a_lr.html">
<a href="../binaryclass/a9a_lr.html">
- <b>6.1.2.</b>
+ <b>6.2.2.</b>
Logistic Regression
@@ -863,12 +884,12 @@
</li>
- <li class="chapter " data-level="6.1.3" data-path="../binaryclass/a9a_minibatch.html">
+ <li class="chapter " data-level="6.2.3" data-path="../binaryclass/a9a_minibatch.html">
<a href="../binaryclass/a9a_minibatch.html">
- <b>6.1.3.</b>
+ <b>6.2.3.</b>
Mini-batch Gradient Descent
@@ -883,14 +904,14 @@
</li>
- <li class="chapter " data-level="6.2" data-path="../binaryclass/news20.html">
+ <li class="chapter " data-level="6.3" data-path="../binaryclass/news20.html">
<a href="../binaryclass/news20.html">
- <b>6.2.</b>
+ <b>6.3.</b>
- News20
+ News20 tutorial
</a>
@@ -899,12 +920,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.2.1" data-path="../binaryclass/news20_dataset.html">
+ <li class="chapter " data-level="6.3.1" data-path="../binaryclass/news20_dataset.html">
<a href="../binaryclass/news20_dataset.html">
- <b>6.2.1.</b>
+ <b>6.3.1.</b>
Data preparation
@@ -914,12 +935,12 @@
</li>
- <li class="chapter " data-level="6.2.2" data-path="../binaryclass/news20_pa.html">
+ <li class="chapter " data-level="6.3.2" data-path="../binaryclass/news20_pa.html">
<a href="../binaryclass/news20_pa.html">
- <b>6.2.2.</b>
+ <b>6.3.2.</b>
Perceptron, Passive Aggressive
@@ -929,12 +950,12 @@
</li>
- <li class="chapter " data-level="6.2.3" data-path="../binaryclass/news20_scw.html">
+ <li class="chapter " data-level="6.3.3" data-path="../binaryclass/news20_scw.html">
<a href="../binaryclass/news20_scw.html">
- <b>6.2.3.</b>
+ <b>6.3.3.</b>
CW, AROW, SCW
@@ -944,12 +965,12 @@
</li>
- <li class="chapter " data-level="6.2.4" data-path="../binaryclass/news20_adagrad.html">
+ <li class="chapter " data-level="6.3.4" data-path="../binaryclass/news20_adagrad.html">
<a href="../binaryclass/news20_adagrad.html">
- <b>6.2.4.</b>
+ <b>6.3.4.</b>
AdaGradRDA, AdaGrad, AdaDelta
@@ -964,14 +985,14 @@
</li>
- <li class="chapter " data-level="6.3" data-path="../binaryclass/kdd2010a.html">
+ <li class="chapter " data-level="6.4" data-path="../binaryclass/kdd2010a.html">
<a href="../binaryclass/kdd2010a.html">
- <b>6.3.</b>
+ <b>6.4.</b>
- KDD2010a
+ KDD2010a tutorial
</a>
@@ -980,12 +1001,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.3.1" data-path="../binaryclass/kdd2010a_dataset.html">
+ <li class="chapter " data-level="6.4.1" data-path="../binaryclass/kdd2010a_dataset.html">
<a href="../binaryclass/kdd2010a_dataset.html">
- <b>6.3.1.</b>
+ <b>6.4.1.</b>
Data preparation
@@ -995,12 +1016,12 @@
</li>
- <li class="chapter " data-level="6.3.2" data-path="../binaryclass/kdd2010a_scw.html">
+ <li class="chapter " data-level="6.4.2" data-path="../binaryclass/kdd2010a_scw.html">
<a href="../binaryclass/kdd2010a_scw.html">
- <b>6.3.2.</b>
+ <b>6.4.2.</b>
PA, CW, AROW, SCW
@@ -1015,14 +1036,14 @@
</li>
- <li class="chapter " data-level="6.4" data-path="../binaryclass/kdd2010b.html">
+ <li class="chapter " data-level="6.5" data-path="../binaryclass/kdd2010b.html">
<a href="../binaryclass/kdd2010b.html">
- <b>6.4.</b>
+ <b>6.5.</b>
- KDD2010b
+ KDD2010b tutorial
</a>
@@ -1031,12 +1052,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.4.1" data-path="../binaryclass/kdd2010b_dataset.html">
+ <li class="chapter " data-level="6.5.1" data-path="../binaryclass/kdd2010b_dataset.html">
<a href="../binaryclass/kdd2010b_dataset.html">
- <b>6.4.1.</b>
+ <b>6.5.1.</b>
Data preparation
@@ -1046,12 +1067,12 @@
</li>
- <li class="chapter " data-level="6.4.2" data-path="../binaryclass/kdd2010b_arow.html">
+ <li class="chapter " data-level="6.5.2" data-path="../binaryclass/kdd2010b_arow.html">
<a href="../binaryclass/kdd2010b_arow.html">
- <b>6.4.2.</b>
+ <b>6.5.2.</b>
AROW
@@ -1066,14 +1087,14 @@
</li>
- <li class="chapter " data-level="6.5" data-path="../binaryclass/webspam.html">
+ <li class="chapter " data-level="6.6" data-path="../binaryclass/webspam.html">
<a href="../binaryclass/webspam.html">
- <b>6.5.</b>
+ <b>6.6.</b>
- Webspam
+ Webspam tutorial
</a>
@@ -1082,12 +1103,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.5.1" data-path="../binaryclass/webspam_dataset.html">
+ <li class="chapter " data-level="6.6.1" data-path="../binaryclass/webspam_dataset.html">
<a href="../binaryclass/webspam_dataset.html">
- <b>6.5.1.</b>
+ <b>6.6.1.</b>
Data pareparation
@@ -1097,12 +1118,12 @@
</li>
- <li class="chapter " data-level="6.5.2" data-path="../binaryclass/webspam_scw.html">
+ <li class="chapter " data-level="6.6.2" data-path="../binaryclass/webspam_scw.html">
<a href="../binaryclass/webspam_scw.html">
- <b>6.5.2.</b>
+ <b>6.6.2.</b>
PA1, AROW, SCW
@@ -1117,14 +1138,14 @@
</li>
- <li class="chapter " data-level="6.6" data-path="../binaryclass/titanic_rf.html">
+ <li class="chapter " data-level="6.7" data-path="../binaryclass/titanic_rf.html">
<a href="../binaryclass/titanic_rf.html">
- <b>6.6.</b>
+ <b>6.7.</b>
- Kaggle Titanic
+ Kaggle Titanic tutorial
</a>
@@ -1135,7 +1156,7 @@
- <li class="header">Part VII - Multiclass classification tutorials</li>
+ <li class="header">Part VII - Multiclass classification</li>
@@ -1146,7 +1167,7 @@
<b>7.1.</b>
- News20 Multiclass
+ News20 Multiclass tutorial
</a>
@@ -1257,7 +1278,7 @@
<b>7.2.</b>
- Iris
+ Iris tutorial
</a>
@@ -1319,18 +1340,33 @@
- <li class="header">Part VIII - Regression tutorials</li>
+ <li class="header">Part VIII - Regression</li>
- <li class="chapter " data-level="8.1" data-path="../regression/e2006.html">
+ <li class="chapter " data-level="8.1" data-path="../regression/general.html">
- <a href="../regression/e2006.html">
+ <a href="../regression/general.html">
<b>8.1.</b>
- E2006-tfidf regression
+ Regression
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="8.2" data-path="../regression/e2006.html">
+
+ <a href="../regression/e2006.html">
+
+
+ <b>8.2.</b>
+
+ E2006-tfidf regression tutorial
</a>
@@ -1339,12 +1375,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.1.1" data-path="../regression/e2006_dataset.html">
+ <li class="chapter " data-level="8.2.1" data-path="../regression/e2006_dataset.html">
<a href="../regression/e2006_dataset.html">
- <b>8.1.1.</b>
+ <b>8.2.1.</b>
Data preparation
@@ -1354,12 +1390,12 @@
</li>
- <li class="chapter " data-level="8.1.2" data-path="../regression/e2006_arow.html">
+ <li class="chapter " data-level="8.2.2" data-path="../regression/e2006_arow.html">
<a href="../regression/e2006_arow.html">
- <b>8.1.2.</b>
+ <b>8.2.2.</b>
Passive Aggressive, AROW
@@ -1374,14 +1410,14 @@
</li>
- <li class="chapter " data-level="8.2" data-path="../regression/kddcup12tr2.html">
+ <li class="chapter " data-level="8.3" data-path="../regression/kddcup12tr2.html">
<a href="../regression/kddcup12tr2.html">
- <b>8.2.</b>
+ <b>8.3.</b>
- KDDCup 2012 track 2 CTR prediction
+ KDDCup 2012 track 2 CTR prediction tutorial
</a>
@@ -1390,12 +1426,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.2.1" data-path="../regression/kddcup12tr2_dataset.html">
+ <li class="chapter " data-level="8.3.1" data-path="../regression/kddcup12tr2_dataset.html">
<a href="../regression/kddcup12tr2_dataset.html">
- <b>8.2.1.</b>
+ <b>8.3.1.</b>
Data preparation
@@ -1405,12 +1441,12 @@
</li>
- <li class="chapter " data-level="8.2.2" data-path="../regression/kddcup12tr2_lr.html">
+ <li class="chapter " data-level="8.3.2" data-path="../regression/kddcup12tr2_lr.html">
<a href="../regression/kddcup12tr2_lr.html">
- <b>8.2.2.</b>
+ <b>8.3.2.</b>
Logistic Regression, Passive Aggressive
@@ -1420,12 +1456,12 @@
</li>
- <li class="chapter " data-level="8.2.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
+ <li class="chapter " data-level="8.3.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
<a href="../regression/kddcup12tr2_lr_amplify.html">
- <b>8.2.3.</b>
+ <b>8.3.3.</b>
Logistic Regression with Amplifier
@@ -1435,12 +1471,12 @@
</li>
- <li class="chapter " data-level="8.2.4" data-path="../regression/kddcup12tr2_adagrad.html">
+ <li class="chapter " data-level="8.3.4" data-path="../regression/kddcup12tr2_adagrad.html">
<a href="../regression/kddcup12tr2_adagrad.html">
- <b>8.2.4.</b>
+ <b>8.3.4.</b>
AdaGrad, AdaDelta
@@ -2134,7 +2170,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
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[25/41] incubator-hivemall-site git commit: Added descriptions about
Feature Pairing in the user guide
Posted by my...@apache.org.
http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/ba518dab/userguide/geospatial/latlon.html
----------------------------------------------------------------------
diff --git a/userguide/geospatial/latlon.html b/userguide/geospatial/latlon.html
index 02fecbd..b23d535 100644
--- a/userguide/geospatial/latlon.html
+++ b/userguide/geospatial/latlon.html
@@ -598,14 +598,30 @@
</li>
- <li class="chapter " data-level="3.5" data-path="../ft_engineering/tfidf.html">
+ <li class="chapter " data-level="3.5" data-path="../ft_engineering/pairing.html">
- <a href="../ft_engineering/tfidf.html">
+ <a href="../ft_engineering/pairing.html">
<b>3.5.</b>
- TF-IDF Calculation
+ FEATURE PAIRING
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="3.5.1" data-path="../ft_engineering/polynomial.html">
+
+ <a href="../ft_engineering/polynomial.html">
+
+
+ <b>3.5.1.</b>
+
+ Polynomial Features
</a>
@@ -613,6 +629,11 @@
</li>
+
+ </ul>
+
+ </li>
+
<li class="chapter " data-level="3.6" data-path="../ft_engineering/ft_trans.html">
<a href="../ft_engineering/ft_trans.html">
@@ -664,6 +685,21 @@
</li>
+ <li class="chapter " data-level="3.7" data-path="../ft_engineering/tfidf.html">
+
+ <a href="../ft_engineering/tfidf.html">
+
+
+ <b>3.7.</b>
+
+ TF-IDF Calculation
+
+ </a>
+
+
+
+ </li>
+
@@ -761,7 +797,7 @@
- <li class="header">Part V - Prediction</li>
+ <li class="header">Part V - Supervised Learning</li>
@@ -780,27 +816,19 @@
</li>
- <li class="chapter " data-level="5.2" data-path="../regression/general.html">
-
- <a href="../regression/general.html">
-
-
- <b>5.2.</b>
-
- Regression
-
- </a>
-
-
- </li>
- <li class="chapter " data-level="5.3" data-path="../binaryclass/general.html">
+
+ <li class="header">Part VI - Binary classification</li>
+
+
+
+ <li class="chapter " data-level="6.1" data-path="../binaryclass/general.html">
<a href="../binaryclass/general.html">
- <b>5.3.</b>
+ <b>6.1.</b>
Binary Classification
@@ -810,21 +838,14 @@
</li>
-
-
-
- <li class="header">Part VI - Binary classification tutorials</li>
-
-
-
- <li class="chapter " data-level="6.1" data-path="../binaryclass/a9a.html">
+ <li class="chapter " data-level="6.2" data-path="../binaryclass/a9a.html">
<a href="../binaryclass/a9a.html">
- <b>6.1.</b>
+ <b>6.2.</b>
- a9a
+ a9a tutorial
</a>
@@ -833,12 +854,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.1.1" data-path="../binaryclass/a9a_dataset.html">
+ <li class="chapter " data-level="6.2.1" data-path="../binaryclass/a9a_dataset.html">
<a href="../binaryclass/a9a_dataset.html">
- <b>6.1.1.</b>
+ <b>6.2.1.</b>
Data preparation
@@ -848,12 +869,12 @@
</li>
- <li class="chapter " data-level="6.1.2" data-path="../binaryclass/a9a_lr.html">
+ <li class="chapter " data-level="6.2.2" data-path="../binaryclass/a9a_lr.html">
<a href="../binaryclass/a9a_lr.html">
- <b>6.1.2.</b>
+ <b>6.2.2.</b>
Logistic Regression
@@ -863,12 +884,12 @@
</li>
- <li class="chapter " data-level="6.1.3" data-path="../binaryclass/a9a_minibatch.html">
+ <li class="chapter " data-level="6.2.3" data-path="../binaryclass/a9a_minibatch.html">
<a href="../binaryclass/a9a_minibatch.html">
- <b>6.1.3.</b>
+ <b>6.2.3.</b>
Mini-batch Gradient Descent
@@ -883,14 +904,14 @@
</li>
- <li class="chapter " data-level="6.2" data-path="../binaryclass/news20.html">
+ <li class="chapter " data-level="6.3" data-path="../binaryclass/news20.html">
<a href="../binaryclass/news20.html">
- <b>6.2.</b>
+ <b>6.3.</b>
- News20
+ News20 tutorial
</a>
@@ -899,12 +920,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.2.1" data-path="../binaryclass/news20_dataset.html">
+ <li class="chapter " data-level="6.3.1" data-path="../binaryclass/news20_dataset.html">
<a href="../binaryclass/news20_dataset.html">
- <b>6.2.1.</b>
+ <b>6.3.1.</b>
Data preparation
@@ -914,12 +935,12 @@
</li>
- <li class="chapter " data-level="6.2.2" data-path="../binaryclass/news20_pa.html">
+ <li class="chapter " data-level="6.3.2" data-path="../binaryclass/news20_pa.html">
<a href="../binaryclass/news20_pa.html">
- <b>6.2.2.</b>
+ <b>6.3.2.</b>
Perceptron, Passive Aggressive
@@ -929,12 +950,12 @@
</li>
- <li class="chapter " data-level="6.2.3" data-path="../binaryclass/news20_scw.html">
+ <li class="chapter " data-level="6.3.3" data-path="../binaryclass/news20_scw.html">
<a href="../binaryclass/news20_scw.html">
- <b>6.2.3.</b>
+ <b>6.3.3.</b>
CW, AROW, SCW
@@ -944,12 +965,12 @@
</li>
- <li class="chapter " data-level="6.2.4" data-path="../binaryclass/news20_adagrad.html">
+ <li class="chapter " data-level="6.3.4" data-path="../binaryclass/news20_adagrad.html">
<a href="../binaryclass/news20_adagrad.html">
- <b>6.2.4.</b>
+ <b>6.3.4.</b>
AdaGradRDA, AdaGrad, AdaDelta
@@ -964,14 +985,14 @@
</li>
- <li class="chapter " data-level="6.3" data-path="../binaryclass/kdd2010a.html">
+ <li class="chapter " data-level="6.4" data-path="../binaryclass/kdd2010a.html">
<a href="../binaryclass/kdd2010a.html">
- <b>6.3.</b>
+ <b>6.4.</b>
- KDD2010a
+ KDD2010a tutorial
</a>
@@ -980,12 +1001,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.3.1" data-path="../binaryclass/kdd2010a_dataset.html">
+ <li class="chapter " data-level="6.4.1" data-path="../binaryclass/kdd2010a_dataset.html">
<a href="../binaryclass/kdd2010a_dataset.html">
- <b>6.3.1.</b>
+ <b>6.4.1.</b>
Data preparation
@@ -995,12 +1016,12 @@
</li>
- <li class="chapter " data-level="6.3.2" data-path="../binaryclass/kdd2010a_scw.html">
+ <li class="chapter " data-level="6.4.2" data-path="../binaryclass/kdd2010a_scw.html">
<a href="../binaryclass/kdd2010a_scw.html">
- <b>6.3.2.</b>
+ <b>6.4.2.</b>
PA, CW, AROW, SCW
@@ -1015,14 +1036,14 @@
</li>
- <li class="chapter " data-level="6.4" data-path="../binaryclass/kdd2010b.html">
+ <li class="chapter " data-level="6.5" data-path="../binaryclass/kdd2010b.html">
<a href="../binaryclass/kdd2010b.html">
- <b>6.4.</b>
+ <b>6.5.</b>
- KDD2010b
+ KDD2010b tutorial
</a>
@@ -1031,12 +1052,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.4.1" data-path="../binaryclass/kdd2010b_dataset.html">
+ <li class="chapter " data-level="6.5.1" data-path="../binaryclass/kdd2010b_dataset.html">
<a href="../binaryclass/kdd2010b_dataset.html">
- <b>6.4.1.</b>
+ <b>6.5.1.</b>
Data preparation
@@ -1046,12 +1067,12 @@
</li>
- <li class="chapter " data-level="6.4.2" data-path="../binaryclass/kdd2010b_arow.html">
+ <li class="chapter " data-level="6.5.2" data-path="../binaryclass/kdd2010b_arow.html">
<a href="../binaryclass/kdd2010b_arow.html">
- <b>6.4.2.</b>
+ <b>6.5.2.</b>
AROW
@@ -1066,14 +1087,14 @@
</li>
- <li class="chapter " data-level="6.5" data-path="../binaryclass/webspam.html">
+ <li class="chapter " data-level="6.6" data-path="../binaryclass/webspam.html">
<a href="../binaryclass/webspam.html">
- <b>6.5.</b>
+ <b>6.6.</b>
- Webspam
+ Webspam tutorial
</a>
@@ -1082,12 +1103,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.5.1" data-path="../binaryclass/webspam_dataset.html">
+ <li class="chapter " data-level="6.6.1" data-path="../binaryclass/webspam_dataset.html">
<a href="../binaryclass/webspam_dataset.html">
- <b>6.5.1.</b>
+ <b>6.6.1.</b>
Data pareparation
@@ -1097,12 +1118,12 @@
</li>
- <li class="chapter " data-level="6.5.2" data-path="../binaryclass/webspam_scw.html">
+ <li class="chapter " data-level="6.6.2" data-path="../binaryclass/webspam_scw.html">
<a href="../binaryclass/webspam_scw.html">
- <b>6.5.2.</b>
+ <b>6.6.2.</b>
PA1, AROW, SCW
@@ -1117,14 +1138,14 @@
</li>
- <li class="chapter " data-level="6.6" data-path="../binaryclass/titanic_rf.html">
+ <li class="chapter " data-level="6.7" data-path="../binaryclass/titanic_rf.html">
<a href="../binaryclass/titanic_rf.html">
- <b>6.6.</b>
+ <b>6.7.</b>
- Kaggle Titanic
+ Kaggle Titanic tutorial
</a>
@@ -1135,7 +1156,7 @@
- <li class="header">Part VII - Multiclass classification tutorials</li>
+ <li class="header">Part VII - Multiclass classification</li>
@@ -1146,7 +1167,7 @@
<b>7.1.</b>
- News20 Multiclass
+ News20 Multiclass tutorial
</a>
@@ -1257,7 +1278,7 @@
<b>7.2.</b>
- Iris
+ Iris tutorial
</a>
@@ -1319,18 +1340,33 @@
- <li class="header">Part VIII - Regression tutorials</li>
+ <li class="header">Part VIII - Regression</li>
- <li class="chapter " data-level="8.1" data-path="../regression/e2006.html">
+ <li class="chapter " data-level="8.1" data-path="../regression/general.html">
- <a href="../regression/e2006.html">
+ <a href="../regression/general.html">
<b>8.1.</b>
- E2006-tfidf regression
+ Regression
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="8.2" data-path="../regression/e2006.html">
+
+ <a href="../regression/e2006.html">
+
+
+ <b>8.2.</b>
+
+ E2006-tfidf regression tutorial
</a>
@@ -1339,12 +1375,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.1.1" data-path="../regression/e2006_dataset.html">
+ <li class="chapter " data-level="8.2.1" data-path="../regression/e2006_dataset.html">
<a href="../regression/e2006_dataset.html">
- <b>8.1.1.</b>
+ <b>8.2.1.</b>
Data preparation
@@ -1354,12 +1390,12 @@
</li>
- <li class="chapter " data-level="8.1.2" data-path="../regression/e2006_arow.html">
+ <li class="chapter " data-level="8.2.2" data-path="../regression/e2006_arow.html">
<a href="../regression/e2006_arow.html">
- <b>8.1.2.</b>
+ <b>8.2.2.</b>
Passive Aggressive, AROW
@@ -1374,14 +1410,14 @@
</li>
- <li class="chapter " data-level="8.2" data-path="../regression/kddcup12tr2.html">
+ <li class="chapter " data-level="8.3" data-path="../regression/kddcup12tr2.html">
<a href="../regression/kddcup12tr2.html">
- <b>8.2.</b>
+ <b>8.3.</b>
- KDDCup 2012 track 2 CTR prediction
+ KDDCup 2012 track 2 CTR prediction tutorial
</a>
@@ -1390,12 +1426,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.2.1" data-path="../regression/kddcup12tr2_dataset.html">
+ <li class="chapter " data-level="8.3.1" data-path="../regression/kddcup12tr2_dataset.html">
<a href="../regression/kddcup12tr2_dataset.html">
- <b>8.2.1.</b>
+ <b>8.3.1.</b>
Data preparation
@@ -1405,12 +1441,12 @@
</li>
- <li class="chapter " data-level="8.2.2" data-path="../regression/kddcup12tr2_lr.html">
+ <li class="chapter " data-level="8.3.2" data-path="../regression/kddcup12tr2_lr.html">
<a href="../regression/kddcup12tr2_lr.html">
- <b>8.2.2.</b>
+ <b>8.3.2.</b>
Logistic Regression, Passive Aggressive
@@ -1420,12 +1456,12 @@
</li>
- <li class="chapter " data-level="8.2.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
+ <li class="chapter " data-level="8.3.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
<a href="../regression/kddcup12tr2_lr_amplify.html">
- <b>8.2.3.</b>
+ <b>8.3.3.</b>
Logistic Regression with Amplifier
@@ -1435,12 +1471,12 @@
</li>
- <li class="chapter " data-level="8.2.4" data-path="../regression/kddcup12tr2_adagrad.html">
+ <li class="chapter " data-level="8.3.4" data-path="../regression/kddcup12tr2_adagrad.html">
<a href="../regression/kddcup12tr2_adagrad.html">
- <b>8.2.4.</b>
+ <b>8.3.4.</b>
AdaGrad, AdaDelta
@@ -2109,7 +2145,7 @@ y &=
\right) \cdot 2^{z - 1}
\right\rfloor
\end{aligned}
-</annotation></semantics></math></span><span class="katex-html" aria-hidden="true"><span class="strut" style="height:4.5200475em;"></span><span class="strut bottom" style="height:8.540095em;vertical-align:-4.0200475em;"></span><span class="base displaystyle textstyle uncramped"><span class="mord"><span class="mtable"><span class="col-align-r"><span class="vlist"><span style="top:-3.0700475000000003em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="mord displaystyle textstyle uncramped"><span class="mord mathit">x</span></span></span><span style="top:-1.2800175000000003em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="mord displaystyle textstyle uncramped"></span></span><span style="top:1.8700124999999996em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="mord displaystyle textstyle unc
ramped"><span class="mord mathit" style="margin-right:0.03588em;">y</span></span></span><span class="baseline-fix"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span>​</span></span></span><span class="col-align-l"><span class="vlist"><span style="top:-3.0700475000000003em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:1em;">​</span></span><span class="mord displaystyle textstyle uncramped"><span class="mord displaystyle textstyle uncramped"></span><span class="mrel">=</span><span class="minner displaystyle textstyle uncramped"><span class="mopen style-wrap reset-textstyle textstyle uncramped" style="top:0em;"><span class="delimsizing size3">⌊</span></span><span class="mord reset-textstyle displaystyle textstyle uncramped"><span class="mopen sizing reset-size5 size5 reset-textstyle textstyle uncramped nulldelimiter"></span><span class="mfrac"><span class="vlist"><span style="top:0.686em;"
><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="reset-textstyle textstyle cramped"><span class="mord textstyle cramped"><span class="mord mathrm">3</span><span class="mord mathrm">6</span><span class="mord mathrm">0</span></span></span></span><span style="top:-0.22999999999999998em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="reset-textstyle textstyle uncramped frac-line"></span></span><span style="top:-0.677em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="reset-textstyle textstyle uncramped"><span class="mord textstyle uncramped"><span class="mord mathit" style="margin-right:0.01968em;">l</span><span class="mord mathit">o</span><span class="mord mathit">n</span><span class="mbin">+</span><span class="mord mathrm">1</span><span class="mord mathrm">8</span><span class="mord mathrm">
0</span></span></span></span><span class="baseline-fix"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span>​</span></span></span><span class="mclose sizing reset-size5 size5 reset-textstyle textstyle uncramped nulldelimiter"></span></span><span class="mbin">⋅</span><span class="mord"><span class="mord mathrm">2</span><span class="msupsub"><span class="vlist"><span style="top:-0.413em;margin-right:0.05em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="reset-textstyle scriptstyle uncramped mtight"><span class="mord mathit mtight" style="margin-right:0.04398em;">z</span></span></span><span class="baseline-fix"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span>​</span></span></span></span><span class="mclose style-wrap reset-textstyle textstyle uncramped" style="top:0em;"><span class="delimsizing size3"
>⌋</span></span></span></span></span><span style="top:1.8700125000000005em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:1em;">​</span></span><span class="mord displaystyle textstyle uncramped"><span class="mord displaystyle textstyle uncramped"></span><span class="mrel">=</span><span class="minner displaystyle textstyle uncramped"><span class="mopen style-wrap reset-textstyle textstyle uncramped"><span class="delimsizing mult"><span class="vlist"><span style="top:1.5050149999999998em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="delimsizinginner delim-size4"><span>⎣</span></span></span><span style="top:0.35001499999999997em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="delimsizinginner delim-size4"><span>⎢</span></span></span><span style="top:-0.250985em;"><span class="fontsize-ensurer reset
-size5 size5"><span style="font-size:0em;">​</span></span><span class="delimsizinginner delim-size4"><span>⎢</span></span></span><span style="top:-0.851985em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="delimsizinginner delim-size4"><span>⎢</span></span></span><span style="top:-1.452985em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="delimsizinginner delim-size4"><span>⎢</span></span></span><span style="top:-2.053985em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="delimsizinginner delim-size4"><span>⎢</span></span></span><span class="baseline-fix"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span>​</span></span></span></span><span class="minner displaystyle textstyle uncramped"><span clas
s="mopen style-wrap reset-textstyle textstyle uncramped"><span class="delimsizing mult"><span class="vlist"><span style="top:1.50501em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="delimsizinginner delim-size4"><span>⎝</span></span></span><span style="top:0.35000000000000014em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="delimsizinginner delim-size4"><span>⎜</span></span></span><span style="top:-0.2500099999999998em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="delimsizinginner delim-size4"><span>⎜</span></span></span><span style="top:-1.4950299999999999em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="delimsizinginner delim-size4"><span>⎛</span></span></span><span class="baseline-fix
"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span>​</span></span></span></span><span class="mord mathrm">1</span><span class="mbin">−</span><span class="mord reset-textstyle displaystyle textstyle uncramped"><span class="mopen sizing reset-size5 size5 reset-textstyle textstyle uncramped nulldelimiter"></span><span class="mfrac"><span class="vlist"><span style="top:0.686em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:1em;">​</span></span><span class="reset-textstyle textstyle cramped"><span class="mord textstyle cramped"><span class="mord mathit" style="margin-right:0.03588em;">π</span></span></span></span><span style="top:-0.22999999999999998em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:1em;">​</span></span><span class="reset-textstyle textstyle uncramped frac-line"></span></span><span style="top:-1.34003em;"><span class="fontsize-ensurer
reset-size5 size5"><span style="font-size:1em;">​</span></span><span class="reset-textstyle textstyle uncramped"><span class="mord textstyle uncramped"><span class="mop">ln</span><span class="minner textstyle uncramped"><span class="mopen style-wrap reset-textstyle textstyle uncramped" style="top:0em;"><span class="delimsizing size3">(</span></span><span class="mop">tan</span><span class="minner textstyle uncramped"><span class="mopen style-wrap reset-textstyle textstyle uncramped" style="top:0em;"><span class="delimsizing size1">(</span></span><span class="mord mathit" style="margin-right:0.01968em;">l</span><span class="mord mathit">a</span><span class="mord mathit">t</span><span class="mbin">⋅</span><span class="mord reset-textstyle textstyle uncramped"><span class="mopen sizing reset-size5 size5 reset-textstyle textstyle uncramped nulldelimiter"></span><span class="mfrac"><span class="vlist"><span style="top:0.345em;"><span class="fontsize-ensurer reset-size5 size5
"><span style="font-size:0em;">​</span></span><span class="reset-textstyle scriptstyle cramped mtight"><span class="mord scriptstyle cramped mtight"><span class="mord mathrm mtight">1</span><span class="mord mathrm mtight">8</span><span class="mord mathrm mtight">0</span></span></span></span><span style="top:-0.22999999999999998em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="reset-textstyle textstyle uncramped frac-line"></span></span><span style="top:-0.394em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="reset-textstyle scriptstyle uncramped mtight"><span class="mord scriptstyle uncramped mtight"><span class="mord mathit mtight" style="margin-right:0.03588em;">π</span></span></span></span><span class="baseline-fix"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span>​</span></sp
an></span><span class="mclose sizing reset-size5 size5 reset-textstyle textstyle uncramped nulldelimiter"></span></span><span class="mclose style-wrap reset-textstyle textstyle uncramped" style="top:0em;"><span class="delimsizing size1">)</span></span></span><span class="mbin">+</span><span class="mord reset-textstyle textstyle uncramped"><span class="mopen sizing reset-size5 size5 reset-textstyle textstyle uncramped nulldelimiter"></span><span class="mfrac"><span class="vlist"><span style="top:0.5075000000000001em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:1em;">​</span></span><span class="reset-textstyle scriptstyle cramped mtight"><span class="mord scriptstyle cramped mtight"><span class="mop mtight">cos</span><span class="minner scriptstyle cramped mtight"><span class="mopen style-wrap reset-scriptstyle textstyle uncramped mtight" style="top:0.07500000000000001em;"><span class="mtight">(</span></span><span class="mord mathit mtight" style="m
argin-right:0.01968em;">l</span><span class="mord mathit mtight">a</span><span class="mord mathit mtight">t</span><span class="mbin mtight">⋅</span><span class="mord reset-scriptstyle scriptstyle cramped mtight"><span class="mopen sizing reset-size5 size5 reset-scriptstyle textstyle uncramped nulldelimiter"></span><span class="mfrac"><span class="vlist"><span style="top:0.344em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="reset-scriptstyle scriptscriptstyle cramped mtight"><span class="mord scriptscriptstyle cramped mtight"><span class="mord mathrm mtight">1</span><span class="mord mathrm mtight">8</span><span class="mord mathrm mtight">0</span></span></span></span><span style="top:-0.22142857142857142em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="reset-scriptstyle textstyle uncramped frac-line"></span></span><span style="top:-0.384em;">
<span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="reset-scriptstyle scriptscriptstyle cramped mtight"><span class="mord scriptscriptstyle cramped mtight"><span class="mord mathit mtight" style="margin-right:0.03588em;">π</span></span></span></span><span class="baseline-fix"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span>​</span></span></span><span class="mclose sizing reset-size5 size5 reset-scriptstyle textstyle uncramped nulldelimiter"></span></span><span class="mclose style-wrap reset-scriptstyle textstyle uncramped mtight" style="top:0.07500000000000001em;"><span class="mtight">)</span></span></span></span></span></span><span style="top:-0.22999999999999998em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:1em;">​</span></span><span class="reset-textstyle textstyle uncramped frac-line"></span></span><span style="top:-0.
394em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:1em;">​</span></span><span class="reset-textstyle scriptstyle uncramped mtight"><span class="mord scriptstyle uncramped mtight"><span class="mord mathrm mtight">1</span></span></span></span><span class="baseline-fix"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:1em;">​</span></span>​</span></span></span><span class="mclose sizing reset-size5 size5 reset-textstyle textstyle uncramped nulldelimiter"></span></span><span class="mclose style-wrap reset-textstyle textstyle uncramped" style="top:0em;"><span class="delimsizing size3">)</span></span></span></span></span></span><span class="baseline-fix"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:1em;">​</span></span>​</span></span></span><span class="mclose sizing reset-size5 size5 reset-textstyle textstyle uncramped nulldelimiter"></span></span><span class="mclose style-wr
ap reset-textstyle textstyle uncramped"><span class="delimsizing mult"><span class="vlist"><span style="top:1.50501em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="delimsizinginner delim-size4"><span>⎠</span></span></span><span style="top:0.35000000000000014em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="delimsizinginner delim-size4"><span>⎟</span></span></span><span style="top:-0.2500099999999998em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="delimsizinginner delim-size4"><span>⎟</span></span></span><span style="top:-1.4950299999999999em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="delimsizinginner delim-size4"><span>⎞</span></span></span><span class="baseline-fix"><span class="fo
ntsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span>​</span></span></span></span></span><span class="mbin">⋅</span><span class="mord"><span class="mord mathrm">2</span><span class="msupsub"><span class="vlist"><span style="top:-0.41300000000000003em;margin-right:0.05em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="reset-textstyle scriptstyle uncramped mtight"><span class="mord scriptstyle uncramped mtight"><span class="mord mathit mtight" style="margin-right:0.04398em;">z</span><span class="mbin mtight">−</span><span class="mord mathrm mtight">1</span></span></span></span><span class="baseline-fix"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span>​</span></span></span></span><span class="mclose style-wrap reset-textstyle textstyle uncramped"><span class="delimsizing mult"><span class="vlist"><span style="
top:1.5050149999999998em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="delimsizinginner delim-size4"><span>⎦</span></span></span><span style="top:0.35001499999999997em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="delimsizinginner delim-size4"><span>⎥</span></span></span><span style="top:-0.250985em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="delimsizinginner delim-size4"><span>⎥</span></span></span><span style="top:-0.851985em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="delimsizinginner delim-size4"><span>⎥</span></span></span><span style="top:-1.452985em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="delimsizing
inner delim-size4"><span>⎥</span></span></span><span style="top:-2.053985em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="delimsizinginner delim-size4"><span>⎥</span></span></span><span class="baseline-fix"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span>​</span></span></span></span></span></span></span><span class="baseline-fix"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:1em;">​</span></span>​</span></span></span></span></span></span></span></span></span></p>
+</annotation></semantics></math></span><span class="katex-html" aria-hidden="true"><span class="strut" style="height:4.5200475em;"></span><span class="strut bottom" style="height:8.540095em;vertical-align:-4.0200475em;"></span><span class="base displaystyle textstyle uncramped"><span class="mord"><span class="mtable"><span class="col-align-r"><span class="vlist"><span style="top:-3.0700475000000003em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="mord displaystyle textstyle uncramped"><span class="mord mathit">x</span></span></span><span style="top:-1.2800175000000003em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="mord displaystyle textstyle uncramped"></span></span><span style="top:1.8700124999999996em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="mord displaystyle textstyle unc
ramped"><span class="mord mathit" style="margin-right:0.03588em;">y</span></span></span><span class="baseline-fix"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span>​</span></span></span><span class="col-align-l"><span class="vlist"><span style="top:-3.0700475000000003em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:1em;">​</span></span><span class="mord displaystyle textstyle uncramped"><span class="mord displaystyle textstyle uncramped"></span><span class="mrel">=</span><span class="minner displaystyle textstyle uncramped"><span class="style-wrap reset-textstyle textstyle uncramped" style="top:0em;"><span class="delimsizing size3">⌊</span></span><span class="mord reset-textstyle displaystyle textstyle uncramped"><span class="sizing reset-size5 size5 reset-textstyle textstyle uncramped nulldelimiter"></span><span class="mfrac"><span class="vlist"><span style="top:0.686em;"><span class
="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="reset-textstyle textstyle cramped"><span class="mord textstyle cramped"><span class="mord mathrm">3</span><span class="mord mathrm">6</span><span class="mord mathrm">0</span></span></span></span><span style="top:-0.22999999999999998em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="reset-textstyle textstyle uncramped frac-line"></span></span><span style="top:-0.677em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="reset-textstyle textstyle uncramped"><span class="mord textstyle uncramped"><span class="mord mathit" style="margin-right:0.01968em;">l</span><span class="mord mathit">o</span><span class="mord mathit">n</span><span class="mbin">+</span><span class="mord mathrm">1</span><span class="mord mathrm">8</span><span class="mord mathrm">0</span></sp
an></span></span><span class="baseline-fix"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span>​</span></span></span><span class="sizing reset-size5 size5 reset-textstyle textstyle uncramped nulldelimiter"></span></span><span class="mbin">⋅</span><span class="mord"><span class="mord mathrm">2</span><span class="vlist"><span style="top:-0.413em;margin-right:0.05em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="reset-textstyle scriptstyle uncramped"><span class="mord mathit" style="margin-right:0.04398em;">z</span></span></span><span class="baseline-fix"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span>​</span></span></span><span class="style-wrap reset-textstyle textstyle uncramped" style="top:0em;"><span class="delimsizing size3">⌋</span></span></span></span></span><span style="top:1.870012
5000000005em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:1em;">​</span></span><span class="mord displaystyle textstyle uncramped"><span class="mord displaystyle textstyle uncramped"></span><span class="mrel">=</span><span class="minner displaystyle textstyle uncramped"><span class="style-wrap reset-textstyle textstyle uncramped"><span class="delimsizing mult"><span class="vlist"><span style="top:1.5050149999999998em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="delimsizinginner delim-size4"><span>⎣</span></span></span><span style="top:0.35001499999999997em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="delimsizinginner delim-size4"><span>⎢</span></span></span><span style="top:-0.250985em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span clas
s="delimsizinginner delim-size4"><span>⎢</span></span></span><span style="top:-0.851985em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="delimsizinginner delim-size4"><span>⎢</span></span></span><span style="top:-1.452985em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="delimsizinginner delim-size4"><span>⎢</span></span></span><span style="top:-2.053985em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="delimsizinginner delim-size4"><span>⎢</span></span></span><span class="baseline-fix"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span>​</span></span></span></span><span class="minner displaystyle textstyle uncramped"><span class="style-wrap reset-textstyle textstyle uncramped"><span class="delimsizing
mult"><span class="vlist"><span style="top:1.50501em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="delimsizinginner delim-size4"><span>⎝</span></span></span><span style="top:0.35000000000000014em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="delimsizinginner delim-size4"><span>⎜</span></span></span><span style="top:-0.2500099999999998em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="delimsizinginner delim-size4"><span>⎜</span></span></span><span style="top:-1.4950299999999999em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="delimsizinginner delim-size4"><span>⎛</span></span></span><span class="baseline-fix"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">&
#x200B;</span></span>​</span></span></span></span><span class="mord mathrm">1</span><span class="mbin">−</span><span class="mord reset-textstyle displaystyle textstyle uncramped"><span class="sizing reset-size5 size5 reset-textstyle textstyle uncramped nulldelimiter"></span><span class="mfrac"><span class="vlist"><span style="top:0.686em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:1em;">​</span></span><span class="reset-textstyle textstyle cramped"><span class="mord textstyle cramped"><span class="mord mathit" style="margin-right:0.03588em;">π</span></span></span></span><span style="top:-0.22999999999999998em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:1em;">​</span></span><span class="reset-textstyle textstyle uncramped frac-line"></span></span><span style="top:-1.34003em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:1em;">​</span></span><span class="rese
t-textstyle textstyle uncramped"><span class="mord textstyle uncramped"><span class="mop">ln</span><span class="minner textstyle uncramped"><span class="style-wrap reset-textstyle textstyle uncramped" style="top:0em;"><span class="delimsizing size3">(</span></span><span class="mop">tan</span><span class="minner textstyle uncramped"><span class="style-wrap reset-textstyle textstyle uncramped" style="top:0em;"><span class="delimsizing size1">(</span></span><span class="mord mathit" style="margin-right:0.01968em;">l</span><span class="mord mathit">a</span><span class="mord mathit">t</span><span class="mbin">⋅</span><span class="mord reset-textstyle textstyle uncramped"><span class="sizing reset-size5 size5 reset-textstyle textstyle uncramped nulldelimiter"></span><span class="mfrac"><span class="vlist"><span style="top:0.345em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="reset-textstyle scriptstyle cramped"><s
pan class="mord scriptstyle cramped"><span class="mord mathrm">1</span><span class="mord mathrm">8</span><span class="mord mathrm">0</span></span></span></span><span style="top:-0.22999999999999998em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="reset-textstyle textstyle uncramped frac-line"></span></span><span style="top:-0.394em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="reset-textstyle scriptstyle uncramped"><span class="mord scriptstyle uncramped"><span class="mord mathit" style="margin-right:0.03588em;">π</span></span></span></span><span class="baseline-fix"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span>​</span></span></span><span class="sizing reset-size5 size5 reset-textstyle textstyle uncramped nulldelimiter"></span></span><span class="style-wrap reset-textstyle textstyl
e uncramped" style="top:0em;"><span class="delimsizing size1">)</span></span></span><span class="mbin">+</span><span class="mord reset-textstyle textstyle uncramped"><span class="sizing reset-size5 size5 reset-textstyle textstyle uncramped nulldelimiter"></span><span class="mfrac"><span class="vlist"><span style="top:0.5075000000000001em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:1em;">​</span></span><span class="reset-textstyle scriptstyle cramped"><span class="mord scriptstyle cramped"><span class="mop">cos</span><span class="minner scriptstyle cramped"><span class="style-wrap reset-scriptstyle textstyle uncramped" style="top:0.07500000000000001em;">(</span><span class="mord mathit" style="margin-right:0.01968em;">l</span><span class="mord mathit">a</span><span class="mord mathit">t</span><span class="mbin">⋅</span><span class="mord reset-scriptstyle scriptstyle cramped"><span class="sizing reset-size5 size5 reset-scriptstyle textstyle
uncramped nulldelimiter"></span><span class="mfrac"><span class="vlist"><span style="top:0.345em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="reset-scriptstyle scriptscriptstyle cramped"><span class="mord scriptscriptstyle cramped"><span class="mord mathrm">1</span><span class="mord mathrm">8</span><span class="mord mathrm">0</span></span></span></span><span style="top:-0.22142857142857142em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="reset-scriptstyle textstyle uncramped frac-line"></span></span><span style="top:-0.394em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="reset-scriptstyle scriptscriptstyle cramped"><span class="mord scriptscriptstyle cramped"><span class="mord mathit" style="margin-right:0.03588em;">π</span></span></span></span><span class="baseline-fix"><sp
an class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span>​</span></span></span><span class="sizing reset-size5 size5 reset-scriptstyle textstyle uncramped nulldelimiter"></span></span><span class="style-wrap reset-scriptstyle textstyle uncramped" style="top:0.07500000000000001em;">)</span></span></span></span></span><span style="top:-0.22999999999999998em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:1em;">​</span></span><span class="reset-textstyle textstyle uncramped frac-line"></span></span><span style="top:-0.394em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:1em;">​</span></span><span class="reset-textstyle scriptstyle uncramped"><span class="mord scriptstyle uncramped"><span class="mord mathrm">1</span></span></span></span><span class="baseline-fix"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:1em;">​</span></span>​</spa
n></span></span><span class="sizing reset-size5 size5 reset-textstyle textstyle uncramped nulldelimiter"></span></span><span class="style-wrap reset-textstyle textstyle uncramped" style="top:0em;"><span class="delimsizing size3">)</span></span></span></span></span></span><span class="baseline-fix"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:1em;">​</span></span>​</span></span></span><span class="sizing reset-size5 size5 reset-textstyle textstyle uncramped nulldelimiter"></span></span><span class="style-wrap reset-textstyle textstyle uncramped"><span class="delimsizing mult"><span class="vlist"><span style="top:1.50501em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="delimsizinginner delim-size4"><span>⎠</span></span></span><span style="top:0.35000000000000014em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span
class="delimsizinginner delim-size4"><span>⎟</span></span></span><span style="top:-0.2500099999999998em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="delimsizinginner delim-size4"><span>⎟</span></span></span><span style="top:-1.4950299999999999em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="delimsizinginner delim-size4"><span>⎞</span></span></span><span class="baseline-fix"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span>​</span></span></span></span></span><span class="mbin">⋅</span><span class="mord"><span class="mord mathrm">2</span><span class="vlist"><span style="top:-0.41300000000000003em;margin-right:0.05em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="reset-textstyle scriptstyle uncramp
ed"><span class="mord scriptstyle uncramped"><span class="mord mathit" style="margin-right:0.04398em;">z</span><span class="mbin">−</span><span class="mord mathrm">1</span></span></span></span><span class="baseline-fix"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span>​</span></span></span><span class="style-wrap reset-textstyle textstyle uncramped"><span class="delimsizing mult"><span class="vlist"><span style="top:1.5050149999999998em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="delimsizinginner delim-size4"><span>⎦</span></span></span><span style="top:0.35001499999999997em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="delimsizinginner delim-size4"><span>⎥</span></span></span><span style="top:-0.250985em;"><span class="fontsize-ensurer reset-size5 size5"><span style=
"font-size:0em;">​</span></span><span class="delimsizinginner delim-size4"><span>⎥</span></span></span><span style="top:-0.851985em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="delimsizinginner delim-size4"><span>⎥</span></span></span><span style="top:-1.452985em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="delimsizinginner delim-size4"><span>⎥</span></span></span><span style="top:-2.053985em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="delimsizinginner delim-size4"><span>⎥</span></span></span><span class="baseline-fix"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span>​</span></span></span></span></span></span></span><span class="baseline-fix"><span class="fontsize-ensurer reset-size5
size5"><span style="font-size:1em;">​</span></span>​</span></span></span></span></span></span></span></span></span></p>
<p>Refer <a href="http://wiki.openstreetmap.org/wiki/Slippy_map_tilenames" target="_blank">this page</a> for detail. Zoom level is well described in <a href="http://wiki.openstreetmap.org/wiki/Zoom_levels" target="_blank">this page</a>.</p>
<h3 id="usage">Usage</h3>
<pre><code class="lang-sql">WITH data as (
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http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/ba518dab/userguide/getting_started/index.html
----------------------------------------------------------------------
diff --git a/userguide/getting_started/index.html b/userguide/getting_started/index.html
index f6643ed..8b0558b 100644
--- a/userguide/getting_started/index.html
+++ b/userguide/getting_started/index.html
@@ -598,14 +598,30 @@
</li>
- <li class="chapter " data-level="3.5" data-path="../ft_engineering/tfidf.html">
+ <li class="chapter " data-level="3.5" data-path="../ft_engineering/pairing.html">
- <a href="../ft_engineering/tfidf.html">
+ <a href="../ft_engineering/pairing.html">
<b>3.5.</b>
- TF-IDF Calculation
+ FEATURE PAIRING
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="3.5.1" data-path="../ft_engineering/polynomial.html">
+
+ <a href="../ft_engineering/polynomial.html">
+
+
+ <b>3.5.1.</b>
+
+ Polynomial Features
</a>
@@ -613,6 +629,11 @@
</li>
+
+ </ul>
+
+ </li>
+
<li class="chapter " data-level="3.6" data-path="../ft_engineering/ft_trans.html">
<a href="../ft_engineering/ft_trans.html">
@@ -664,6 +685,21 @@
</li>
+ <li class="chapter " data-level="3.7" data-path="../ft_engineering/tfidf.html">
+
+ <a href="../ft_engineering/tfidf.html">
+
+
+ <b>3.7.</b>
+
+ TF-IDF Calculation
+
+ </a>
+
+
+
+ </li>
+
@@ -761,7 +797,7 @@
- <li class="header">Part V - Prediction</li>
+ <li class="header">Part V - Supervised Learning</li>
@@ -780,27 +816,19 @@
</li>
- <li class="chapter " data-level="5.2" data-path="../regression/general.html">
-
- <a href="../regression/general.html">
-
-
- <b>5.2.</b>
-
- Regression
-
- </a>
-
-
- </li>
- <li class="chapter " data-level="5.3" data-path="../binaryclass/general.html">
+
+ <li class="header">Part VI - Binary classification</li>
+
+
+
+ <li class="chapter " data-level="6.1" data-path="../binaryclass/general.html">
<a href="../binaryclass/general.html">
- <b>5.3.</b>
+ <b>6.1.</b>
Binary Classification
@@ -810,21 +838,14 @@
</li>
-
-
-
- <li class="header">Part VI - Binary classification tutorials</li>
-
-
-
- <li class="chapter " data-level="6.1" data-path="../binaryclass/a9a.html">
+ <li class="chapter " data-level="6.2" data-path="../binaryclass/a9a.html">
<a href="../binaryclass/a9a.html">
- <b>6.1.</b>
+ <b>6.2.</b>
- a9a
+ a9a tutorial
</a>
@@ -833,12 +854,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.1.1" data-path="../binaryclass/a9a_dataset.html">
+ <li class="chapter " data-level="6.2.1" data-path="../binaryclass/a9a_dataset.html">
<a href="../binaryclass/a9a_dataset.html">
- <b>6.1.1.</b>
+ <b>6.2.1.</b>
Data preparation
@@ -848,12 +869,12 @@
</li>
- <li class="chapter " data-level="6.1.2" data-path="../binaryclass/a9a_lr.html">
+ <li class="chapter " data-level="6.2.2" data-path="../binaryclass/a9a_lr.html">
<a href="../binaryclass/a9a_lr.html">
- <b>6.1.2.</b>
+ <b>6.2.2.</b>
Logistic Regression
@@ -863,12 +884,12 @@
</li>
- <li class="chapter " data-level="6.1.3" data-path="../binaryclass/a9a_minibatch.html">
+ <li class="chapter " data-level="6.2.3" data-path="../binaryclass/a9a_minibatch.html">
<a href="../binaryclass/a9a_minibatch.html">
- <b>6.1.3.</b>
+ <b>6.2.3.</b>
Mini-batch Gradient Descent
@@ -883,14 +904,14 @@
</li>
- <li class="chapter " data-level="6.2" data-path="../binaryclass/news20.html">
+ <li class="chapter " data-level="6.3" data-path="../binaryclass/news20.html">
<a href="../binaryclass/news20.html">
- <b>6.2.</b>
+ <b>6.3.</b>
- News20
+ News20 tutorial
</a>
@@ -899,12 +920,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.2.1" data-path="../binaryclass/news20_dataset.html">
+ <li class="chapter " data-level="6.3.1" data-path="../binaryclass/news20_dataset.html">
<a href="../binaryclass/news20_dataset.html">
- <b>6.2.1.</b>
+ <b>6.3.1.</b>
Data preparation
@@ -914,12 +935,12 @@
</li>
- <li class="chapter " data-level="6.2.2" data-path="../binaryclass/news20_pa.html">
+ <li class="chapter " data-level="6.3.2" data-path="../binaryclass/news20_pa.html">
<a href="../binaryclass/news20_pa.html">
- <b>6.2.2.</b>
+ <b>6.3.2.</b>
Perceptron, Passive Aggressive
@@ -929,12 +950,12 @@
</li>
- <li class="chapter " data-level="6.2.3" data-path="../binaryclass/news20_scw.html">
+ <li class="chapter " data-level="6.3.3" data-path="../binaryclass/news20_scw.html">
<a href="../binaryclass/news20_scw.html">
- <b>6.2.3.</b>
+ <b>6.3.3.</b>
CW, AROW, SCW
@@ -944,12 +965,12 @@
</li>
- <li class="chapter " data-level="6.2.4" data-path="../binaryclass/news20_adagrad.html">
+ <li class="chapter " data-level="6.3.4" data-path="../binaryclass/news20_adagrad.html">
<a href="../binaryclass/news20_adagrad.html">
- <b>6.2.4.</b>
+ <b>6.3.4.</b>
AdaGradRDA, AdaGrad, AdaDelta
@@ -964,14 +985,14 @@
</li>
- <li class="chapter " data-level="6.3" data-path="../binaryclass/kdd2010a.html">
+ <li class="chapter " data-level="6.4" data-path="../binaryclass/kdd2010a.html">
<a href="../binaryclass/kdd2010a.html">
- <b>6.3.</b>
+ <b>6.4.</b>
- KDD2010a
+ KDD2010a tutorial
</a>
@@ -980,12 +1001,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.3.1" data-path="../binaryclass/kdd2010a_dataset.html">
+ <li class="chapter " data-level="6.4.1" data-path="../binaryclass/kdd2010a_dataset.html">
<a href="../binaryclass/kdd2010a_dataset.html">
- <b>6.3.1.</b>
+ <b>6.4.1.</b>
Data preparation
@@ -995,12 +1016,12 @@
</li>
- <li class="chapter " data-level="6.3.2" data-path="../binaryclass/kdd2010a_scw.html">
+ <li class="chapter " data-level="6.4.2" data-path="../binaryclass/kdd2010a_scw.html">
<a href="../binaryclass/kdd2010a_scw.html">
- <b>6.3.2.</b>
+ <b>6.4.2.</b>
PA, CW, AROW, SCW
@@ -1015,14 +1036,14 @@
</li>
- <li class="chapter " data-level="6.4" data-path="../binaryclass/kdd2010b.html">
+ <li class="chapter " data-level="6.5" data-path="../binaryclass/kdd2010b.html">
<a href="../binaryclass/kdd2010b.html">
- <b>6.4.</b>
+ <b>6.5.</b>
- KDD2010b
+ KDD2010b tutorial
</a>
@@ -1031,12 +1052,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.4.1" data-path="../binaryclass/kdd2010b_dataset.html">
+ <li class="chapter " data-level="6.5.1" data-path="../binaryclass/kdd2010b_dataset.html">
<a href="../binaryclass/kdd2010b_dataset.html">
- <b>6.4.1.</b>
+ <b>6.5.1.</b>
Data preparation
@@ -1046,12 +1067,12 @@
</li>
- <li class="chapter " data-level="6.4.2" data-path="../binaryclass/kdd2010b_arow.html">
+ <li class="chapter " data-level="6.5.2" data-path="../binaryclass/kdd2010b_arow.html">
<a href="../binaryclass/kdd2010b_arow.html">
- <b>6.4.2.</b>
+ <b>6.5.2.</b>
AROW
@@ -1066,14 +1087,14 @@
</li>
- <li class="chapter " data-level="6.5" data-path="../binaryclass/webspam.html">
+ <li class="chapter " data-level="6.6" data-path="../binaryclass/webspam.html">
<a href="../binaryclass/webspam.html">
- <b>6.5.</b>
+ <b>6.6.</b>
- Webspam
+ Webspam tutorial
</a>
@@ -1082,12 +1103,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.5.1" data-path="../binaryclass/webspam_dataset.html">
+ <li class="chapter " data-level="6.6.1" data-path="../binaryclass/webspam_dataset.html">
<a href="../binaryclass/webspam_dataset.html">
- <b>6.5.1.</b>
+ <b>6.6.1.</b>
Data pareparation
@@ -1097,12 +1118,12 @@
</li>
- <li class="chapter " data-level="6.5.2" data-path="../binaryclass/webspam_scw.html">
+ <li class="chapter " data-level="6.6.2" data-path="../binaryclass/webspam_scw.html">
<a href="../binaryclass/webspam_scw.html">
- <b>6.5.2.</b>
+ <b>6.6.2.</b>
PA1, AROW, SCW
@@ -1117,14 +1138,14 @@
</li>
- <li class="chapter " data-level="6.6" data-path="../binaryclass/titanic_rf.html">
+ <li class="chapter " data-level="6.7" data-path="../binaryclass/titanic_rf.html">
<a href="../binaryclass/titanic_rf.html">
- <b>6.6.</b>
+ <b>6.7.</b>
- Kaggle Titanic
+ Kaggle Titanic tutorial
</a>
@@ -1135,7 +1156,7 @@
- <li class="header">Part VII - Multiclass classification tutorials</li>
+ <li class="header">Part VII - Multiclass classification</li>
@@ -1146,7 +1167,7 @@
<b>7.1.</b>
- News20 Multiclass
+ News20 Multiclass tutorial
</a>
@@ -1257,7 +1278,7 @@
<b>7.2.</b>
- Iris
+ Iris tutorial
</a>
@@ -1319,18 +1340,33 @@
- <li class="header">Part VIII - Regression tutorials</li>
+ <li class="header">Part VIII - Regression</li>
- <li class="chapter " data-level="8.1" data-path="../regression/e2006.html">
+ <li class="chapter " data-level="8.1" data-path="../regression/general.html">
- <a href="../regression/e2006.html">
+ <a href="../regression/general.html">
<b>8.1.</b>
- E2006-tfidf regression
+ Regression
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="8.2" data-path="../regression/e2006.html">
+
+ <a href="../regression/e2006.html">
+
+
+ <b>8.2.</b>
+
+ E2006-tfidf regression tutorial
</a>
@@ -1339,12 +1375,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.1.1" data-path="../regression/e2006_dataset.html">
+ <li class="chapter " data-level="8.2.1" data-path="../regression/e2006_dataset.html">
<a href="../regression/e2006_dataset.html">
- <b>8.1.1.</b>
+ <b>8.2.1.</b>
Data preparation
@@ -1354,12 +1390,12 @@
</li>
- <li class="chapter " data-level="8.1.2" data-path="../regression/e2006_arow.html">
+ <li class="chapter " data-level="8.2.2" data-path="../regression/e2006_arow.html">
<a href="../regression/e2006_arow.html">
- <b>8.1.2.</b>
+ <b>8.2.2.</b>
Passive Aggressive, AROW
@@ -1374,14 +1410,14 @@
</li>
- <li class="chapter " data-level="8.2" data-path="../regression/kddcup12tr2.html">
+ <li class="chapter " data-level="8.3" data-path="../regression/kddcup12tr2.html">
<a href="../regression/kddcup12tr2.html">
- <b>8.2.</b>
+ <b>8.3.</b>
- KDDCup 2012 track 2 CTR prediction
+ KDDCup 2012 track 2 CTR prediction tutorial
</a>
@@ -1390,12 +1426,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.2.1" data-path="../regression/kddcup12tr2_dataset.html">
+ <li class="chapter " data-level="8.3.1" data-path="../regression/kddcup12tr2_dataset.html">
<a href="../regression/kddcup12tr2_dataset.html">
- <b>8.2.1.</b>
+ <b>8.3.1.</b>
Data preparation
@@ -1405,12 +1441,12 @@
</li>
- <li class="chapter " data-level="8.2.2" data-path="../regression/kddcup12tr2_lr.html">
+ <li class="chapter " data-level="8.3.2" data-path="../regression/kddcup12tr2_lr.html">
<a href="../regression/kddcup12tr2_lr.html">
- <b>8.2.2.</b>
+ <b>8.3.2.</b>
Logistic Regression, Passive Aggressive
@@ -1420,12 +1456,12 @@
</li>
- <li class="chapter " data-level="8.2.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
+ <li class="chapter " data-level="8.3.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
<a href="../regression/kddcup12tr2_lr_amplify.html">
- <b>8.2.3.</b>
+ <b>8.3.3.</b>
Logistic Regression with Amplifier
@@ -1435,12 +1471,12 @@
</li>
- <li class="chapter " data-level="8.2.4" data-path="../regression/kddcup12tr2_adagrad.html">
+ <li class="chapter " data-level="8.3.4" data-path="../regression/kddcup12tr2_adagrad.html">
<a href="../regression/kddcup12tr2_adagrad.html">
- <b>8.2.4.</b>
+ <b>8.3.4.</b>
AdaGrad, AdaDelta
@@ -2130,7 +2166,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
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[17/41] incubator-hivemall-site git commit: Added descriptions about
Feature Pairing in the user guide
Posted by my...@apache.org.
http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/ba518dab/userguide/recommend/cf.html
----------------------------------------------------------------------
diff --git a/userguide/recommend/cf.html b/userguide/recommend/cf.html
index b0de740..f43534b 100644
--- a/userguide/recommend/cf.html
+++ b/userguide/recommend/cf.html
@@ -598,14 +598,30 @@
</li>
- <li class="chapter " data-level="3.5" data-path="../ft_engineering/tfidf.html">
+ <li class="chapter " data-level="3.5" data-path="../ft_engineering/pairing.html">
- <a href="../ft_engineering/tfidf.html">
+ <a href="../ft_engineering/pairing.html">
<b>3.5.</b>
- TF-IDF Calculation
+ FEATURE PAIRING
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="3.5.1" data-path="../ft_engineering/polynomial.html">
+
+ <a href="../ft_engineering/polynomial.html">
+
+
+ <b>3.5.1.</b>
+
+ Polynomial Features
</a>
@@ -613,6 +629,11 @@
</li>
+
+ </ul>
+
+ </li>
+
<li class="chapter " data-level="3.6" data-path="../ft_engineering/ft_trans.html">
<a href="../ft_engineering/ft_trans.html">
@@ -664,6 +685,21 @@
</li>
+ <li class="chapter " data-level="3.7" data-path="../ft_engineering/tfidf.html">
+
+ <a href="../ft_engineering/tfidf.html">
+
+
+ <b>3.7.</b>
+
+ TF-IDF Calculation
+
+ </a>
+
+
+
+ </li>
+
@@ -761,7 +797,7 @@
- <li class="header">Part V - Prediction</li>
+ <li class="header">Part V - Supervised Learning</li>
@@ -780,27 +816,19 @@
</li>
- <li class="chapter " data-level="5.2" data-path="../regression/general.html">
-
- <a href="../regression/general.html">
-
-
- <b>5.2.</b>
-
- Regression
-
- </a>
-
-
- </li>
- <li class="chapter " data-level="5.3" data-path="../binaryclass/general.html">
+
+ <li class="header">Part VI - Binary classification</li>
+
+
+
+ <li class="chapter " data-level="6.1" data-path="../binaryclass/general.html">
<a href="../binaryclass/general.html">
- <b>5.3.</b>
+ <b>6.1.</b>
Binary Classification
@@ -810,21 +838,14 @@
</li>
-
-
-
- <li class="header">Part VI - Binary classification tutorials</li>
-
-
-
- <li class="chapter " data-level="6.1" data-path="../binaryclass/a9a.html">
+ <li class="chapter " data-level="6.2" data-path="../binaryclass/a9a.html">
<a href="../binaryclass/a9a.html">
- <b>6.1.</b>
+ <b>6.2.</b>
- a9a
+ a9a tutorial
</a>
@@ -833,12 +854,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.1.1" data-path="../binaryclass/a9a_dataset.html">
+ <li class="chapter " data-level="6.2.1" data-path="../binaryclass/a9a_dataset.html">
<a href="../binaryclass/a9a_dataset.html">
- <b>6.1.1.</b>
+ <b>6.2.1.</b>
Data preparation
@@ -848,12 +869,12 @@
</li>
- <li class="chapter " data-level="6.1.2" data-path="../binaryclass/a9a_lr.html">
+ <li class="chapter " data-level="6.2.2" data-path="../binaryclass/a9a_lr.html">
<a href="../binaryclass/a9a_lr.html">
- <b>6.1.2.</b>
+ <b>6.2.2.</b>
Logistic Regression
@@ -863,12 +884,12 @@
</li>
- <li class="chapter " data-level="6.1.3" data-path="../binaryclass/a9a_minibatch.html">
+ <li class="chapter " data-level="6.2.3" data-path="../binaryclass/a9a_minibatch.html">
<a href="../binaryclass/a9a_minibatch.html">
- <b>6.1.3.</b>
+ <b>6.2.3.</b>
Mini-batch Gradient Descent
@@ -883,14 +904,14 @@
</li>
- <li class="chapter " data-level="6.2" data-path="../binaryclass/news20.html">
+ <li class="chapter " data-level="6.3" data-path="../binaryclass/news20.html">
<a href="../binaryclass/news20.html">
- <b>6.2.</b>
+ <b>6.3.</b>
- News20
+ News20 tutorial
</a>
@@ -899,12 +920,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.2.1" data-path="../binaryclass/news20_dataset.html">
+ <li class="chapter " data-level="6.3.1" data-path="../binaryclass/news20_dataset.html">
<a href="../binaryclass/news20_dataset.html">
- <b>6.2.1.</b>
+ <b>6.3.1.</b>
Data preparation
@@ -914,12 +935,12 @@
</li>
- <li class="chapter " data-level="6.2.2" data-path="../binaryclass/news20_pa.html">
+ <li class="chapter " data-level="6.3.2" data-path="../binaryclass/news20_pa.html">
<a href="../binaryclass/news20_pa.html">
- <b>6.2.2.</b>
+ <b>6.3.2.</b>
Perceptron, Passive Aggressive
@@ -929,12 +950,12 @@
</li>
- <li class="chapter " data-level="6.2.3" data-path="../binaryclass/news20_scw.html">
+ <li class="chapter " data-level="6.3.3" data-path="../binaryclass/news20_scw.html">
<a href="../binaryclass/news20_scw.html">
- <b>6.2.3.</b>
+ <b>6.3.3.</b>
CW, AROW, SCW
@@ -944,12 +965,12 @@
</li>
- <li class="chapter " data-level="6.2.4" data-path="../binaryclass/news20_adagrad.html">
+ <li class="chapter " data-level="6.3.4" data-path="../binaryclass/news20_adagrad.html">
<a href="../binaryclass/news20_adagrad.html">
- <b>6.2.4.</b>
+ <b>6.3.4.</b>
AdaGradRDA, AdaGrad, AdaDelta
@@ -964,14 +985,14 @@
</li>
- <li class="chapter " data-level="6.3" data-path="../binaryclass/kdd2010a.html">
+ <li class="chapter " data-level="6.4" data-path="../binaryclass/kdd2010a.html">
<a href="../binaryclass/kdd2010a.html">
- <b>6.3.</b>
+ <b>6.4.</b>
- KDD2010a
+ KDD2010a tutorial
</a>
@@ -980,12 +1001,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.3.1" data-path="../binaryclass/kdd2010a_dataset.html">
+ <li class="chapter " data-level="6.4.1" data-path="../binaryclass/kdd2010a_dataset.html">
<a href="../binaryclass/kdd2010a_dataset.html">
- <b>6.3.1.</b>
+ <b>6.4.1.</b>
Data preparation
@@ -995,12 +1016,12 @@
</li>
- <li class="chapter " data-level="6.3.2" data-path="../binaryclass/kdd2010a_scw.html">
+ <li class="chapter " data-level="6.4.2" data-path="../binaryclass/kdd2010a_scw.html">
<a href="../binaryclass/kdd2010a_scw.html">
- <b>6.3.2.</b>
+ <b>6.4.2.</b>
PA, CW, AROW, SCW
@@ -1015,14 +1036,14 @@
</li>
- <li class="chapter " data-level="6.4" data-path="../binaryclass/kdd2010b.html">
+ <li class="chapter " data-level="6.5" data-path="../binaryclass/kdd2010b.html">
<a href="../binaryclass/kdd2010b.html">
- <b>6.4.</b>
+ <b>6.5.</b>
- KDD2010b
+ KDD2010b tutorial
</a>
@@ -1031,12 +1052,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.4.1" data-path="../binaryclass/kdd2010b_dataset.html">
+ <li class="chapter " data-level="6.5.1" data-path="../binaryclass/kdd2010b_dataset.html">
<a href="../binaryclass/kdd2010b_dataset.html">
- <b>6.4.1.</b>
+ <b>6.5.1.</b>
Data preparation
@@ -1046,12 +1067,12 @@
</li>
- <li class="chapter " data-level="6.4.2" data-path="../binaryclass/kdd2010b_arow.html">
+ <li class="chapter " data-level="6.5.2" data-path="../binaryclass/kdd2010b_arow.html">
<a href="../binaryclass/kdd2010b_arow.html">
- <b>6.4.2.</b>
+ <b>6.5.2.</b>
AROW
@@ -1066,14 +1087,14 @@
</li>
- <li class="chapter " data-level="6.5" data-path="../binaryclass/webspam.html">
+ <li class="chapter " data-level="6.6" data-path="../binaryclass/webspam.html">
<a href="../binaryclass/webspam.html">
- <b>6.5.</b>
+ <b>6.6.</b>
- Webspam
+ Webspam tutorial
</a>
@@ -1082,12 +1103,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.5.1" data-path="../binaryclass/webspam_dataset.html">
+ <li class="chapter " data-level="6.6.1" data-path="../binaryclass/webspam_dataset.html">
<a href="../binaryclass/webspam_dataset.html">
- <b>6.5.1.</b>
+ <b>6.6.1.</b>
Data pareparation
@@ -1097,12 +1118,12 @@
</li>
- <li class="chapter " data-level="6.5.2" data-path="../binaryclass/webspam_scw.html">
+ <li class="chapter " data-level="6.6.2" data-path="../binaryclass/webspam_scw.html">
<a href="../binaryclass/webspam_scw.html">
- <b>6.5.2.</b>
+ <b>6.6.2.</b>
PA1, AROW, SCW
@@ -1117,14 +1138,14 @@
</li>
- <li class="chapter " data-level="6.6" data-path="../binaryclass/titanic_rf.html">
+ <li class="chapter " data-level="6.7" data-path="../binaryclass/titanic_rf.html">
<a href="../binaryclass/titanic_rf.html">
- <b>6.6.</b>
+ <b>6.7.</b>
- Kaggle Titanic
+ Kaggle Titanic tutorial
</a>
@@ -1135,7 +1156,7 @@
- <li class="header">Part VII - Multiclass classification tutorials</li>
+ <li class="header">Part VII - Multiclass classification</li>
@@ -1146,7 +1167,7 @@
<b>7.1.</b>
- News20 Multiclass
+ News20 Multiclass tutorial
</a>
@@ -1257,7 +1278,7 @@
<b>7.2.</b>
- Iris
+ Iris tutorial
</a>
@@ -1319,18 +1340,33 @@
- <li class="header">Part VIII - Regression tutorials</li>
+ <li class="header">Part VIII - Regression</li>
- <li class="chapter " data-level="8.1" data-path="../regression/e2006.html">
+ <li class="chapter " data-level="8.1" data-path="../regression/general.html">
- <a href="../regression/e2006.html">
+ <a href="../regression/general.html">
<b>8.1.</b>
- E2006-tfidf regression
+ Regression
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="8.2" data-path="../regression/e2006.html">
+
+ <a href="../regression/e2006.html">
+
+
+ <b>8.2.</b>
+
+ E2006-tfidf regression tutorial
</a>
@@ -1339,12 +1375,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.1.1" data-path="../regression/e2006_dataset.html">
+ <li class="chapter " data-level="8.2.1" data-path="../regression/e2006_dataset.html">
<a href="../regression/e2006_dataset.html">
- <b>8.1.1.</b>
+ <b>8.2.1.</b>
Data preparation
@@ -1354,12 +1390,12 @@
</li>
- <li class="chapter " data-level="8.1.2" data-path="../regression/e2006_arow.html">
+ <li class="chapter " data-level="8.2.2" data-path="../regression/e2006_arow.html">
<a href="../regression/e2006_arow.html">
- <b>8.1.2.</b>
+ <b>8.2.2.</b>
Passive Aggressive, AROW
@@ -1374,14 +1410,14 @@
</li>
- <li class="chapter " data-level="8.2" data-path="../regression/kddcup12tr2.html">
+ <li class="chapter " data-level="8.3" data-path="../regression/kddcup12tr2.html">
<a href="../regression/kddcup12tr2.html">
- <b>8.2.</b>
+ <b>8.3.</b>
- KDDCup 2012 track 2 CTR prediction
+ KDDCup 2012 track 2 CTR prediction tutorial
</a>
@@ -1390,12 +1426,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.2.1" data-path="../regression/kddcup12tr2_dataset.html">
+ <li class="chapter " data-level="8.3.1" data-path="../regression/kddcup12tr2_dataset.html">
<a href="../regression/kddcup12tr2_dataset.html">
- <b>8.2.1.</b>
+ <b>8.3.1.</b>
Data preparation
@@ -1405,12 +1441,12 @@
</li>
- <li class="chapter " data-level="8.2.2" data-path="../regression/kddcup12tr2_lr.html">
+ <li class="chapter " data-level="8.3.2" data-path="../regression/kddcup12tr2_lr.html">
<a href="../regression/kddcup12tr2_lr.html">
- <b>8.2.2.</b>
+ <b>8.3.2.</b>
Logistic Regression, Passive Aggressive
@@ -1420,12 +1456,12 @@
</li>
- <li class="chapter " data-level="8.2.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
+ <li class="chapter " data-level="8.3.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
<a href="../regression/kddcup12tr2_lr_amplify.html">
- <b>8.2.3.</b>
+ <b>8.3.3.</b>
Logistic Regression with Amplifier
@@ -1435,12 +1471,12 @@
</li>
- <li class="chapter " data-level="8.2.4" data-path="../regression/kddcup12tr2_adagrad.html">
+ <li class="chapter " data-level="8.3.4" data-path="../regression/kddcup12tr2_adagrad.html">
<a href="../regression/kddcup12tr2_adagrad.html">
- <b>8.2.4.</b>
+ <b>8.3.4.</b>
AdaGrad, AdaDelta
@@ -2129,7 +2165,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
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----------------------------------------------------------------------
diff --git a/userguide/recommend/item_based_cf.html b/userguide/recommend/item_based_cf.html
index 7a8e179..7e63a30 100644
--- a/userguide/recommend/item_based_cf.html
+++ b/userguide/recommend/item_based_cf.html
@@ -598,14 +598,30 @@
</li>
- <li class="chapter " data-level="3.5" data-path="../ft_engineering/tfidf.html">
+ <li class="chapter " data-level="3.5" data-path="../ft_engineering/pairing.html">
- <a href="../ft_engineering/tfidf.html">
+ <a href="../ft_engineering/pairing.html">
<b>3.5.</b>
- TF-IDF Calculation
+ FEATURE PAIRING
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="3.5.1" data-path="../ft_engineering/polynomial.html">
+
+ <a href="../ft_engineering/polynomial.html">
+
+
+ <b>3.5.1.</b>
+
+ Polynomial Features
</a>
@@ -613,6 +629,11 @@
</li>
+
+ </ul>
+
+ </li>
+
<li class="chapter " data-level="3.6" data-path="../ft_engineering/ft_trans.html">
<a href="../ft_engineering/ft_trans.html">
@@ -664,6 +685,21 @@
</li>
+ <li class="chapter " data-level="3.7" data-path="../ft_engineering/tfidf.html">
+
+ <a href="../ft_engineering/tfidf.html">
+
+
+ <b>3.7.</b>
+
+ TF-IDF Calculation
+
+ </a>
+
+
+
+ </li>
+
@@ -761,7 +797,7 @@
- <li class="header">Part V - Prediction</li>
+ <li class="header">Part V - Supervised Learning</li>
@@ -780,27 +816,19 @@
</li>
- <li class="chapter " data-level="5.2" data-path="../regression/general.html">
-
- <a href="../regression/general.html">
-
-
- <b>5.2.</b>
-
- Regression
-
- </a>
-
-
- </li>
- <li class="chapter " data-level="5.3" data-path="../binaryclass/general.html">
+
+ <li class="header">Part VI - Binary classification</li>
+
+
+
+ <li class="chapter " data-level="6.1" data-path="../binaryclass/general.html">
<a href="../binaryclass/general.html">
- <b>5.3.</b>
+ <b>6.1.</b>
Binary Classification
@@ -810,21 +838,14 @@
</li>
-
-
-
- <li class="header">Part VI - Binary classification tutorials</li>
-
-
-
- <li class="chapter " data-level="6.1" data-path="../binaryclass/a9a.html">
+ <li class="chapter " data-level="6.2" data-path="../binaryclass/a9a.html">
<a href="../binaryclass/a9a.html">
- <b>6.1.</b>
+ <b>6.2.</b>
- a9a
+ a9a tutorial
</a>
@@ -833,12 +854,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.1.1" data-path="../binaryclass/a9a_dataset.html">
+ <li class="chapter " data-level="6.2.1" data-path="../binaryclass/a9a_dataset.html">
<a href="../binaryclass/a9a_dataset.html">
- <b>6.1.1.</b>
+ <b>6.2.1.</b>
Data preparation
@@ -848,12 +869,12 @@
</li>
- <li class="chapter " data-level="6.1.2" data-path="../binaryclass/a9a_lr.html">
+ <li class="chapter " data-level="6.2.2" data-path="../binaryclass/a9a_lr.html">
<a href="../binaryclass/a9a_lr.html">
- <b>6.1.2.</b>
+ <b>6.2.2.</b>
Logistic Regression
@@ -863,12 +884,12 @@
</li>
- <li class="chapter " data-level="6.1.3" data-path="../binaryclass/a9a_minibatch.html">
+ <li class="chapter " data-level="6.2.3" data-path="../binaryclass/a9a_minibatch.html">
<a href="../binaryclass/a9a_minibatch.html">
- <b>6.1.3.</b>
+ <b>6.2.3.</b>
Mini-batch Gradient Descent
@@ -883,14 +904,14 @@
</li>
- <li class="chapter " data-level="6.2" data-path="../binaryclass/news20.html">
+ <li class="chapter " data-level="6.3" data-path="../binaryclass/news20.html">
<a href="../binaryclass/news20.html">
- <b>6.2.</b>
+ <b>6.3.</b>
- News20
+ News20 tutorial
</a>
@@ -899,12 +920,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.2.1" data-path="../binaryclass/news20_dataset.html">
+ <li class="chapter " data-level="6.3.1" data-path="../binaryclass/news20_dataset.html">
<a href="../binaryclass/news20_dataset.html">
- <b>6.2.1.</b>
+ <b>6.3.1.</b>
Data preparation
@@ -914,12 +935,12 @@
</li>
- <li class="chapter " data-level="6.2.2" data-path="../binaryclass/news20_pa.html">
+ <li class="chapter " data-level="6.3.2" data-path="../binaryclass/news20_pa.html">
<a href="../binaryclass/news20_pa.html">
- <b>6.2.2.</b>
+ <b>6.3.2.</b>
Perceptron, Passive Aggressive
@@ -929,12 +950,12 @@
</li>
- <li class="chapter " data-level="6.2.3" data-path="../binaryclass/news20_scw.html">
+ <li class="chapter " data-level="6.3.3" data-path="../binaryclass/news20_scw.html">
<a href="../binaryclass/news20_scw.html">
- <b>6.2.3.</b>
+ <b>6.3.3.</b>
CW, AROW, SCW
@@ -944,12 +965,12 @@
</li>
- <li class="chapter " data-level="6.2.4" data-path="../binaryclass/news20_adagrad.html">
+ <li class="chapter " data-level="6.3.4" data-path="../binaryclass/news20_adagrad.html">
<a href="../binaryclass/news20_adagrad.html">
- <b>6.2.4.</b>
+ <b>6.3.4.</b>
AdaGradRDA, AdaGrad, AdaDelta
@@ -964,14 +985,14 @@
</li>
- <li class="chapter " data-level="6.3" data-path="../binaryclass/kdd2010a.html">
+ <li class="chapter " data-level="6.4" data-path="../binaryclass/kdd2010a.html">
<a href="../binaryclass/kdd2010a.html">
- <b>6.3.</b>
+ <b>6.4.</b>
- KDD2010a
+ KDD2010a tutorial
</a>
@@ -980,12 +1001,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.3.1" data-path="../binaryclass/kdd2010a_dataset.html">
+ <li class="chapter " data-level="6.4.1" data-path="../binaryclass/kdd2010a_dataset.html">
<a href="../binaryclass/kdd2010a_dataset.html">
- <b>6.3.1.</b>
+ <b>6.4.1.</b>
Data preparation
@@ -995,12 +1016,12 @@
</li>
- <li class="chapter " data-level="6.3.2" data-path="../binaryclass/kdd2010a_scw.html">
+ <li class="chapter " data-level="6.4.2" data-path="../binaryclass/kdd2010a_scw.html">
<a href="../binaryclass/kdd2010a_scw.html">
- <b>6.3.2.</b>
+ <b>6.4.2.</b>
PA, CW, AROW, SCW
@@ -1015,14 +1036,14 @@
</li>
- <li class="chapter " data-level="6.4" data-path="../binaryclass/kdd2010b.html">
+ <li class="chapter " data-level="6.5" data-path="../binaryclass/kdd2010b.html">
<a href="../binaryclass/kdd2010b.html">
- <b>6.4.</b>
+ <b>6.5.</b>
- KDD2010b
+ KDD2010b tutorial
</a>
@@ -1031,12 +1052,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.4.1" data-path="../binaryclass/kdd2010b_dataset.html">
+ <li class="chapter " data-level="6.5.1" data-path="../binaryclass/kdd2010b_dataset.html">
<a href="../binaryclass/kdd2010b_dataset.html">
- <b>6.4.1.</b>
+ <b>6.5.1.</b>
Data preparation
@@ -1046,12 +1067,12 @@
</li>
- <li class="chapter " data-level="6.4.2" data-path="../binaryclass/kdd2010b_arow.html">
+ <li class="chapter " data-level="6.5.2" data-path="../binaryclass/kdd2010b_arow.html">
<a href="../binaryclass/kdd2010b_arow.html">
- <b>6.4.2.</b>
+ <b>6.5.2.</b>
AROW
@@ -1066,14 +1087,14 @@
</li>
- <li class="chapter " data-level="6.5" data-path="../binaryclass/webspam.html">
+ <li class="chapter " data-level="6.6" data-path="../binaryclass/webspam.html">
<a href="../binaryclass/webspam.html">
- <b>6.5.</b>
+ <b>6.6.</b>
- Webspam
+ Webspam tutorial
</a>
@@ -1082,12 +1103,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.5.1" data-path="../binaryclass/webspam_dataset.html">
+ <li class="chapter " data-level="6.6.1" data-path="../binaryclass/webspam_dataset.html">
<a href="../binaryclass/webspam_dataset.html">
- <b>6.5.1.</b>
+ <b>6.6.1.</b>
Data pareparation
@@ -1097,12 +1118,12 @@
</li>
- <li class="chapter " data-level="6.5.2" data-path="../binaryclass/webspam_scw.html">
+ <li class="chapter " data-level="6.6.2" data-path="../binaryclass/webspam_scw.html">
<a href="../binaryclass/webspam_scw.html">
- <b>6.5.2.</b>
+ <b>6.6.2.</b>
PA1, AROW, SCW
@@ -1117,14 +1138,14 @@
</li>
- <li class="chapter " data-level="6.6" data-path="../binaryclass/titanic_rf.html">
+ <li class="chapter " data-level="6.7" data-path="../binaryclass/titanic_rf.html">
<a href="../binaryclass/titanic_rf.html">
- <b>6.6.</b>
+ <b>6.7.</b>
- Kaggle Titanic
+ Kaggle Titanic tutorial
</a>
@@ -1135,7 +1156,7 @@
- <li class="header">Part VII - Multiclass classification tutorials</li>
+ <li class="header">Part VII - Multiclass classification</li>
@@ -1146,7 +1167,7 @@
<b>7.1.</b>
- News20 Multiclass
+ News20 Multiclass tutorial
</a>
@@ -1257,7 +1278,7 @@
<b>7.2.</b>
- Iris
+ Iris tutorial
</a>
@@ -1319,18 +1340,33 @@
- <li class="header">Part VIII - Regression tutorials</li>
+ <li class="header">Part VIII - Regression</li>
- <li class="chapter " data-level="8.1" data-path="../regression/e2006.html">
+ <li class="chapter " data-level="8.1" data-path="../regression/general.html">
- <a href="../regression/e2006.html">
+ <a href="../regression/general.html">
<b>8.1.</b>
- E2006-tfidf regression
+ Regression
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="8.2" data-path="../regression/e2006.html">
+
+ <a href="../regression/e2006.html">
+
+
+ <b>8.2.</b>
+
+ E2006-tfidf regression tutorial
</a>
@@ -1339,12 +1375,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.1.1" data-path="../regression/e2006_dataset.html">
+ <li class="chapter " data-level="8.2.1" data-path="../regression/e2006_dataset.html">
<a href="../regression/e2006_dataset.html">
- <b>8.1.1.</b>
+ <b>8.2.1.</b>
Data preparation
@@ -1354,12 +1390,12 @@
</li>
- <li class="chapter " data-level="8.1.2" data-path="../regression/e2006_arow.html">
+ <li class="chapter " data-level="8.2.2" data-path="../regression/e2006_arow.html">
<a href="../regression/e2006_arow.html">
- <b>8.1.2.</b>
+ <b>8.2.2.</b>
Passive Aggressive, AROW
@@ -1374,14 +1410,14 @@
</li>
- <li class="chapter " data-level="8.2" data-path="../regression/kddcup12tr2.html">
+ <li class="chapter " data-level="8.3" data-path="../regression/kddcup12tr2.html">
<a href="../regression/kddcup12tr2.html">
- <b>8.2.</b>
+ <b>8.3.</b>
- KDDCup 2012 track 2 CTR prediction
+ KDDCup 2012 track 2 CTR prediction tutorial
</a>
@@ -1390,12 +1426,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.2.1" data-path="../regression/kddcup12tr2_dataset.html">
+ <li class="chapter " data-level="8.3.1" data-path="../regression/kddcup12tr2_dataset.html">
<a href="../regression/kddcup12tr2_dataset.html">
- <b>8.2.1.</b>
+ <b>8.3.1.</b>
Data preparation
@@ -1405,12 +1441,12 @@
</li>
- <li class="chapter " data-level="8.2.2" data-path="../regression/kddcup12tr2_lr.html">
+ <li class="chapter " data-level="8.3.2" data-path="../regression/kddcup12tr2_lr.html">
<a href="../regression/kddcup12tr2_lr.html">
- <b>8.2.2.</b>
+ <b>8.3.2.</b>
Logistic Regression, Passive Aggressive
@@ -1420,12 +1456,12 @@
</li>
- <li class="chapter " data-level="8.2.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
+ <li class="chapter " data-level="8.3.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
<a href="../regression/kddcup12tr2_lr_amplify.html">
- <b>8.2.3.</b>
+ <b>8.3.3.</b>
Logistic Regression with Amplifier
@@ -1435,12 +1471,12 @@
</li>
- <li class="chapter " data-level="8.2.4" data-path="../regression/kddcup12tr2_adagrad.html">
+ <li class="chapter " data-level="8.3.4" data-path="../regression/kddcup12tr2_adagrad.html">
<a href="../regression/kddcup12tr2_adagrad.html">
- <b>8.2.4.</b>
+ <b>8.3.4.</b>
AdaGrad, AdaDelta
@@ -2887,7 +2923,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
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http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/ba518dab/userguide/recommend/movielens.html
----------------------------------------------------------------------
diff --git a/userguide/recommend/movielens.html b/userguide/recommend/movielens.html
index c9d3803..a0e4f77 100644
--- a/userguide/recommend/movielens.html
+++ b/userguide/recommend/movielens.html
@@ -598,14 +598,30 @@
</li>
- <li class="chapter " data-level="3.5" data-path="../ft_engineering/tfidf.html">
+ <li class="chapter " data-level="3.5" data-path="../ft_engineering/pairing.html">
- <a href="../ft_engineering/tfidf.html">
+ <a href="../ft_engineering/pairing.html">
<b>3.5.</b>
- TF-IDF Calculation
+ FEATURE PAIRING
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="3.5.1" data-path="../ft_engineering/polynomial.html">
+
+ <a href="../ft_engineering/polynomial.html">
+
+
+ <b>3.5.1.</b>
+
+ Polynomial Features
</a>
@@ -613,6 +629,11 @@
</li>
+
+ </ul>
+
+ </li>
+
<li class="chapter " data-level="3.6" data-path="../ft_engineering/ft_trans.html">
<a href="../ft_engineering/ft_trans.html">
@@ -664,6 +685,21 @@
</li>
+ <li class="chapter " data-level="3.7" data-path="../ft_engineering/tfidf.html">
+
+ <a href="../ft_engineering/tfidf.html">
+
+
+ <b>3.7.</b>
+
+ TF-IDF Calculation
+
+ </a>
+
+
+
+ </li>
+
@@ -761,7 +797,7 @@
- <li class="header">Part V - Prediction</li>
+ <li class="header">Part V - Supervised Learning</li>
@@ -780,27 +816,19 @@
</li>
- <li class="chapter " data-level="5.2" data-path="../regression/general.html">
-
- <a href="../regression/general.html">
-
-
- <b>5.2.</b>
-
- Regression
-
- </a>
-
-
- </li>
- <li class="chapter " data-level="5.3" data-path="../binaryclass/general.html">
+
+ <li class="header">Part VI - Binary classification</li>
+
+
+
+ <li class="chapter " data-level="6.1" data-path="../binaryclass/general.html">
<a href="../binaryclass/general.html">
- <b>5.3.</b>
+ <b>6.1.</b>
Binary Classification
@@ -810,21 +838,14 @@
</li>
-
-
-
- <li class="header">Part VI - Binary classification tutorials</li>
-
-
-
- <li class="chapter " data-level="6.1" data-path="../binaryclass/a9a.html">
+ <li class="chapter " data-level="6.2" data-path="../binaryclass/a9a.html">
<a href="../binaryclass/a9a.html">
- <b>6.1.</b>
+ <b>6.2.</b>
- a9a
+ a9a tutorial
</a>
@@ -833,12 +854,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.1.1" data-path="../binaryclass/a9a_dataset.html">
+ <li class="chapter " data-level="6.2.1" data-path="../binaryclass/a9a_dataset.html">
<a href="../binaryclass/a9a_dataset.html">
- <b>6.1.1.</b>
+ <b>6.2.1.</b>
Data preparation
@@ -848,12 +869,12 @@
</li>
- <li class="chapter " data-level="6.1.2" data-path="../binaryclass/a9a_lr.html">
+ <li class="chapter " data-level="6.2.2" data-path="../binaryclass/a9a_lr.html">
<a href="../binaryclass/a9a_lr.html">
- <b>6.1.2.</b>
+ <b>6.2.2.</b>
Logistic Regression
@@ -863,12 +884,12 @@
</li>
- <li class="chapter " data-level="6.1.3" data-path="../binaryclass/a9a_minibatch.html">
+ <li class="chapter " data-level="6.2.3" data-path="../binaryclass/a9a_minibatch.html">
<a href="../binaryclass/a9a_minibatch.html">
- <b>6.1.3.</b>
+ <b>6.2.3.</b>
Mini-batch Gradient Descent
@@ -883,14 +904,14 @@
</li>
- <li class="chapter " data-level="6.2" data-path="../binaryclass/news20.html">
+ <li class="chapter " data-level="6.3" data-path="../binaryclass/news20.html">
<a href="../binaryclass/news20.html">
- <b>6.2.</b>
+ <b>6.3.</b>
- News20
+ News20 tutorial
</a>
@@ -899,12 +920,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.2.1" data-path="../binaryclass/news20_dataset.html">
+ <li class="chapter " data-level="6.3.1" data-path="../binaryclass/news20_dataset.html">
<a href="../binaryclass/news20_dataset.html">
- <b>6.2.1.</b>
+ <b>6.3.1.</b>
Data preparation
@@ -914,12 +935,12 @@
</li>
- <li class="chapter " data-level="6.2.2" data-path="../binaryclass/news20_pa.html">
+ <li class="chapter " data-level="6.3.2" data-path="../binaryclass/news20_pa.html">
<a href="../binaryclass/news20_pa.html">
- <b>6.2.2.</b>
+ <b>6.3.2.</b>
Perceptron, Passive Aggressive
@@ -929,12 +950,12 @@
</li>
- <li class="chapter " data-level="6.2.3" data-path="../binaryclass/news20_scw.html">
+ <li class="chapter " data-level="6.3.3" data-path="../binaryclass/news20_scw.html">
<a href="../binaryclass/news20_scw.html">
- <b>6.2.3.</b>
+ <b>6.3.3.</b>
CW, AROW, SCW
@@ -944,12 +965,12 @@
</li>
- <li class="chapter " data-level="6.2.4" data-path="../binaryclass/news20_adagrad.html">
+ <li class="chapter " data-level="6.3.4" data-path="../binaryclass/news20_adagrad.html">
<a href="../binaryclass/news20_adagrad.html">
- <b>6.2.4.</b>
+ <b>6.3.4.</b>
AdaGradRDA, AdaGrad, AdaDelta
@@ -964,14 +985,14 @@
</li>
- <li class="chapter " data-level="6.3" data-path="../binaryclass/kdd2010a.html">
+ <li class="chapter " data-level="6.4" data-path="../binaryclass/kdd2010a.html">
<a href="../binaryclass/kdd2010a.html">
- <b>6.3.</b>
+ <b>6.4.</b>
- KDD2010a
+ KDD2010a tutorial
</a>
@@ -980,12 +1001,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.3.1" data-path="../binaryclass/kdd2010a_dataset.html">
+ <li class="chapter " data-level="6.4.1" data-path="../binaryclass/kdd2010a_dataset.html">
<a href="../binaryclass/kdd2010a_dataset.html">
- <b>6.3.1.</b>
+ <b>6.4.1.</b>
Data preparation
@@ -995,12 +1016,12 @@
</li>
- <li class="chapter " data-level="6.3.2" data-path="../binaryclass/kdd2010a_scw.html">
+ <li class="chapter " data-level="6.4.2" data-path="../binaryclass/kdd2010a_scw.html">
<a href="../binaryclass/kdd2010a_scw.html">
- <b>6.3.2.</b>
+ <b>6.4.2.</b>
PA, CW, AROW, SCW
@@ -1015,14 +1036,14 @@
</li>
- <li class="chapter " data-level="6.4" data-path="../binaryclass/kdd2010b.html">
+ <li class="chapter " data-level="6.5" data-path="../binaryclass/kdd2010b.html">
<a href="../binaryclass/kdd2010b.html">
- <b>6.4.</b>
+ <b>6.5.</b>
- KDD2010b
+ KDD2010b tutorial
</a>
@@ -1031,12 +1052,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.4.1" data-path="../binaryclass/kdd2010b_dataset.html">
+ <li class="chapter " data-level="6.5.1" data-path="../binaryclass/kdd2010b_dataset.html">
<a href="../binaryclass/kdd2010b_dataset.html">
- <b>6.4.1.</b>
+ <b>6.5.1.</b>
Data preparation
@@ -1046,12 +1067,12 @@
</li>
- <li class="chapter " data-level="6.4.2" data-path="../binaryclass/kdd2010b_arow.html">
+ <li class="chapter " data-level="6.5.2" data-path="../binaryclass/kdd2010b_arow.html">
<a href="../binaryclass/kdd2010b_arow.html">
- <b>6.4.2.</b>
+ <b>6.5.2.</b>
AROW
@@ -1066,14 +1087,14 @@
</li>
- <li class="chapter " data-level="6.5" data-path="../binaryclass/webspam.html">
+ <li class="chapter " data-level="6.6" data-path="../binaryclass/webspam.html">
<a href="../binaryclass/webspam.html">
- <b>6.5.</b>
+ <b>6.6.</b>
- Webspam
+ Webspam tutorial
</a>
@@ -1082,12 +1103,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.5.1" data-path="../binaryclass/webspam_dataset.html">
+ <li class="chapter " data-level="6.6.1" data-path="../binaryclass/webspam_dataset.html">
<a href="../binaryclass/webspam_dataset.html">
- <b>6.5.1.</b>
+ <b>6.6.1.</b>
Data pareparation
@@ -1097,12 +1118,12 @@
</li>
- <li class="chapter " data-level="6.5.2" data-path="../binaryclass/webspam_scw.html">
+ <li class="chapter " data-level="6.6.2" data-path="../binaryclass/webspam_scw.html">
<a href="../binaryclass/webspam_scw.html">
- <b>6.5.2.</b>
+ <b>6.6.2.</b>
PA1, AROW, SCW
@@ -1117,14 +1138,14 @@
</li>
- <li class="chapter " data-level="6.6" data-path="../binaryclass/titanic_rf.html">
+ <li class="chapter " data-level="6.7" data-path="../binaryclass/titanic_rf.html">
<a href="../binaryclass/titanic_rf.html">
- <b>6.6.</b>
+ <b>6.7.</b>
- Kaggle Titanic
+ Kaggle Titanic tutorial
</a>
@@ -1135,7 +1156,7 @@
- <li class="header">Part VII - Multiclass classification tutorials</li>
+ <li class="header">Part VII - Multiclass classification</li>
@@ -1146,7 +1167,7 @@
<b>7.1.</b>
- News20 Multiclass
+ News20 Multiclass tutorial
</a>
@@ -1257,7 +1278,7 @@
<b>7.2.</b>
- Iris
+ Iris tutorial
</a>
@@ -1319,18 +1340,33 @@
- <li class="header">Part VIII - Regression tutorials</li>
+ <li class="header">Part VIII - Regression</li>
- <li class="chapter " data-level="8.1" data-path="../regression/e2006.html">
+ <li class="chapter " data-level="8.1" data-path="../regression/general.html">
- <a href="../regression/e2006.html">
+ <a href="../regression/general.html">
<b>8.1.</b>
- E2006-tfidf regression
+ Regression
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="8.2" data-path="../regression/e2006.html">
+
+ <a href="../regression/e2006.html">
+
+
+ <b>8.2.</b>
+
+ E2006-tfidf regression tutorial
</a>
@@ -1339,12 +1375,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.1.1" data-path="../regression/e2006_dataset.html">
+ <li class="chapter " data-level="8.2.1" data-path="../regression/e2006_dataset.html">
<a href="../regression/e2006_dataset.html">
- <b>8.1.1.</b>
+ <b>8.2.1.</b>
Data preparation
@@ -1354,12 +1390,12 @@
</li>
- <li class="chapter " data-level="8.1.2" data-path="../regression/e2006_arow.html">
+ <li class="chapter " data-level="8.2.2" data-path="../regression/e2006_arow.html">
<a href="../regression/e2006_arow.html">
- <b>8.1.2.</b>
+ <b>8.2.2.</b>
Passive Aggressive, AROW
@@ -1374,14 +1410,14 @@
</li>
- <li class="chapter " data-level="8.2" data-path="../regression/kddcup12tr2.html">
+ <li class="chapter " data-level="8.3" data-path="../regression/kddcup12tr2.html">
<a href="../regression/kddcup12tr2.html">
- <b>8.2.</b>
+ <b>8.3.</b>
- KDDCup 2012 track 2 CTR prediction
+ KDDCup 2012 track 2 CTR prediction tutorial
</a>
@@ -1390,12 +1426,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.2.1" data-path="../regression/kddcup12tr2_dataset.html">
+ <li class="chapter " data-level="8.3.1" data-path="../regression/kddcup12tr2_dataset.html">
<a href="../regression/kddcup12tr2_dataset.html">
- <b>8.2.1.</b>
+ <b>8.3.1.</b>
Data preparation
@@ -1405,12 +1441,12 @@
</li>
- <li class="chapter " data-level="8.2.2" data-path="../regression/kddcup12tr2_lr.html">
+ <li class="chapter " data-level="8.3.2" data-path="../regression/kddcup12tr2_lr.html">
<a href="../regression/kddcup12tr2_lr.html">
- <b>8.2.2.</b>
+ <b>8.3.2.</b>
Logistic Regression, Passive Aggressive
@@ -1420,12 +1456,12 @@
</li>
- <li class="chapter " data-level="8.2.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
+ <li class="chapter " data-level="8.3.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
<a href="../regression/kddcup12tr2_lr_amplify.html">
- <b>8.2.3.</b>
+ <b>8.3.3.</b>
Logistic Regression with Amplifier
@@ -1435,12 +1471,12 @@
</li>
- <li class="chapter " data-level="8.2.4" data-path="../regression/kddcup12tr2_adagrad.html">
+ <li class="chapter " data-level="8.3.4" data-path="../regression/kddcup12tr2_adagrad.html">
<a href="../regression/kddcup12tr2_adagrad.html">
- <b>8.2.4.</b>
+ <b>8.3.4.</b>
AdaGrad, AdaDelta
@@ -2129,7 +2165,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
<script>
var gitbook = gitbook || [];
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[13/41] incubator-hivemall-site git commit: Added descriptions about
Feature Pairing in the user guide
Posted by my...@apache.org.
http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/ba518dab/userguide/recommend/news20_knn.html
----------------------------------------------------------------------
diff --git a/userguide/recommend/news20_knn.html b/userguide/recommend/news20_knn.html
index cb9827a..e67e773 100644
--- a/userguide/recommend/news20_knn.html
+++ b/userguide/recommend/news20_knn.html
@@ -598,14 +598,30 @@
</li>
- <li class="chapter " data-level="3.5" data-path="../ft_engineering/tfidf.html">
+ <li class="chapter " data-level="3.5" data-path="../ft_engineering/pairing.html">
- <a href="../ft_engineering/tfidf.html">
+ <a href="../ft_engineering/pairing.html">
<b>3.5.</b>
- TF-IDF Calculation
+ FEATURE PAIRING
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="3.5.1" data-path="../ft_engineering/polynomial.html">
+
+ <a href="../ft_engineering/polynomial.html">
+
+
+ <b>3.5.1.</b>
+
+ Polynomial Features
</a>
@@ -613,6 +629,11 @@
</li>
+
+ </ul>
+
+ </li>
+
<li class="chapter " data-level="3.6" data-path="../ft_engineering/ft_trans.html">
<a href="../ft_engineering/ft_trans.html">
@@ -664,6 +685,21 @@
</li>
+ <li class="chapter " data-level="3.7" data-path="../ft_engineering/tfidf.html">
+
+ <a href="../ft_engineering/tfidf.html">
+
+
+ <b>3.7.</b>
+
+ TF-IDF Calculation
+
+ </a>
+
+
+
+ </li>
+
@@ -761,7 +797,7 @@
- <li class="header">Part V - Prediction</li>
+ <li class="header">Part V - Supervised Learning</li>
@@ -780,27 +816,19 @@
</li>
- <li class="chapter " data-level="5.2" data-path="../regression/general.html">
-
- <a href="../regression/general.html">
-
-
- <b>5.2.</b>
-
- Regression
-
- </a>
-
-
- </li>
- <li class="chapter " data-level="5.3" data-path="../binaryclass/general.html">
+
+ <li class="header">Part VI - Binary classification</li>
+
+
+
+ <li class="chapter " data-level="6.1" data-path="../binaryclass/general.html">
<a href="../binaryclass/general.html">
- <b>5.3.</b>
+ <b>6.1.</b>
Binary Classification
@@ -810,21 +838,14 @@
</li>
-
-
-
- <li class="header">Part VI - Binary classification tutorials</li>
-
-
-
- <li class="chapter " data-level="6.1" data-path="../binaryclass/a9a.html">
+ <li class="chapter " data-level="6.2" data-path="../binaryclass/a9a.html">
<a href="../binaryclass/a9a.html">
- <b>6.1.</b>
+ <b>6.2.</b>
- a9a
+ a9a tutorial
</a>
@@ -833,12 +854,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.1.1" data-path="../binaryclass/a9a_dataset.html">
+ <li class="chapter " data-level="6.2.1" data-path="../binaryclass/a9a_dataset.html">
<a href="../binaryclass/a9a_dataset.html">
- <b>6.1.1.</b>
+ <b>6.2.1.</b>
Data preparation
@@ -848,12 +869,12 @@
</li>
- <li class="chapter " data-level="6.1.2" data-path="../binaryclass/a9a_lr.html">
+ <li class="chapter " data-level="6.2.2" data-path="../binaryclass/a9a_lr.html">
<a href="../binaryclass/a9a_lr.html">
- <b>6.1.2.</b>
+ <b>6.2.2.</b>
Logistic Regression
@@ -863,12 +884,12 @@
</li>
- <li class="chapter " data-level="6.1.3" data-path="../binaryclass/a9a_minibatch.html">
+ <li class="chapter " data-level="6.2.3" data-path="../binaryclass/a9a_minibatch.html">
<a href="../binaryclass/a9a_minibatch.html">
- <b>6.1.3.</b>
+ <b>6.2.3.</b>
Mini-batch Gradient Descent
@@ -883,14 +904,14 @@
</li>
- <li class="chapter " data-level="6.2" data-path="../binaryclass/news20.html">
+ <li class="chapter " data-level="6.3" data-path="../binaryclass/news20.html">
<a href="../binaryclass/news20.html">
- <b>6.2.</b>
+ <b>6.3.</b>
- News20
+ News20 tutorial
</a>
@@ -899,12 +920,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.2.1" data-path="../binaryclass/news20_dataset.html">
+ <li class="chapter " data-level="6.3.1" data-path="../binaryclass/news20_dataset.html">
<a href="../binaryclass/news20_dataset.html">
- <b>6.2.1.</b>
+ <b>6.3.1.</b>
Data preparation
@@ -914,12 +935,12 @@
</li>
- <li class="chapter " data-level="6.2.2" data-path="../binaryclass/news20_pa.html">
+ <li class="chapter " data-level="6.3.2" data-path="../binaryclass/news20_pa.html">
<a href="../binaryclass/news20_pa.html">
- <b>6.2.2.</b>
+ <b>6.3.2.</b>
Perceptron, Passive Aggressive
@@ -929,12 +950,12 @@
</li>
- <li class="chapter " data-level="6.2.3" data-path="../binaryclass/news20_scw.html">
+ <li class="chapter " data-level="6.3.3" data-path="../binaryclass/news20_scw.html">
<a href="../binaryclass/news20_scw.html">
- <b>6.2.3.</b>
+ <b>6.3.3.</b>
CW, AROW, SCW
@@ -944,12 +965,12 @@
</li>
- <li class="chapter " data-level="6.2.4" data-path="../binaryclass/news20_adagrad.html">
+ <li class="chapter " data-level="6.3.4" data-path="../binaryclass/news20_adagrad.html">
<a href="../binaryclass/news20_adagrad.html">
- <b>6.2.4.</b>
+ <b>6.3.4.</b>
AdaGradRDA, AdaGrad, AdaDelta
@@ -964,14 +985,14 @@
</li>
- <li class="chapter " data-level="6.3" data-path="../binaryclass/kdd2010a.html">
+ <li class="chapter " data-level="6.4" data-path="../binaryclass/kdd2010a.html">
<a href="../binaryclass/kdd2010a.html">
- <b>6.3.</b>
+ <b>6.4.</b>
- KDD2010a
+ KDD2010a tutorial
</a>
@@ -980,12 +1001,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.3.1" data-path="../binaryclass/kdd2010a_dataset.html">
+ <li class="chapter " data-level="6.4.1" data-path="../binaryclass/kdd2010a_dataset.html">
<a href="../binaryclass/kdd2010a_dataset.html">
- <b>6.3.1.</b>
+ <b>6.4.1.</b>
Data preparation
@@ -995,12 +1016,12 @@
</li>
- <li class="chapter " data-level="6.3.2" data-path="../binaryclass/kdd2010a_scw.html">
+ <li class="chapter " data-level="6.4.2" data-path="../binaryclass/kdd2010a_scw.html">
<a href="../binaryclass/kdd2010a_scw.html">
- <b>6.3.2.</b>
+ <b>6.4.2.</b>
PA, CW, AROW, SCW
@@ -1015,14 +1036,14 @@
</li>
- <li class="chapter " data-level="6.4" data-path="../binaryclass/kdd2010b.html">
+ <li class="chapter " data-level="6.5" data-path="../binaryclass/kdd2010b.html">
<a href="../binaryclass/kdd2010b.html">
- <b>6.4.</b>
+ <b>6.5.</b>
- KDD2010b
+ KDD2010b tutorial
</a>
@@ -1031,12 +1052,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.4.1" data-path="../binaryclass/kdd2010b_dataset.html">
+ <li class="chapter " data-level="6.5.1" data-path="../binaryclass/kdd2010b_dataset.html">
<a href="../binaryclass/kdd2010b_dataset.html">
- <b>6.4.1.</b>
+ <b>6.5.1.</b>
Data preparation
@@ -1046,12 +1067,12 @@
</li>
- <li class="chapter " data-level="6.4.2" data-path="../binaryclass/kdd2010b_arow.html">
+ <li class="chapter " data-level="6.5.2" data-path="../binaryclass/kdd2010b_arow.html">
<a href="../binaryclass/kdd2010b_arow.html">
- <b>6.4.2.</b>
+ <b>6.5.2.</b>
AROW
@@ -1066,14 +1087,14 @@
</li>
- <li class="chapter " data-level="6.5" data-path="../binaryclass/webspam.html">
+ <li class="chapter " data-level="6.6" data-path="../binaryclass/webspam.html">
<a href="../binaryclass/webspam.html">
- <b>6.5.</b>
+ <b>6.6.</b>
- Webspam
+ Webspam tutorial
</a>
@@ -1082,12 +1103,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.5.1" data-path="../binaryclass/webspam_dataset.html">
+ <li class="chapter " data-level="6.6.1" data-path="../binaryclass/webspam_dataset.html">
<a href="../binaryclass/webspam_dataset.html">
- <b>6.5.1.</b>
+ <b>6.6.1.</b>
Data pareparation
@@ -1097,12 +1118,12 @@
</li>
- <li class="chapter " data-level="6.5.2" data-path="../binaryclass/webspam_scw.html">
+ <li class="chapter " data-level="6.6.2" data-path="../binaryclass/webspam_scw.html">
<a href="../binaryclass/webspam_scw.html">
- <b>6.5.2.</b>
+ <b>6.6.2.</b>
PA1, AROW, SCW
@@ -1117,14 +1138,14 @@
</li>
- <li class="chapter " data-level="6.6" data-path="../binaryclass/titanic_rf.html">
+ <li class="chapter " data-level="6.7" data-path="../binaryclass/titanic_rf.html">
<a href="../binaryclass/titanic_rf.html">
- <b>6.6.</b>
+ <b>6.7.</b>
- Kaggle Titanic
+ Kaggle Titanic tutorial
</a>
@@ -1135,7 +1156,7 @@
- <li class="header">Part VII - Multiclass classification tutorials</li>
+ <li class="header">Part VII - Multiclass classification</li>
@@ -1146,7 +1167,7 @@
<b>7.1.</b>
- News20 Multiclass
+ News20 Multiclass tutorial
</a>
@@ -1257,7 +1278,7 @@
<b>7.2.</b>
- Iris
+ Iris tutorial
</a>
@@ -1319,18 +1340,33 @@
- <li class="header">Part VIII - Regression tutorials</li>
+ <li class="header">Part VIII - Regression</li>
- <li class="chapter " data-level="8.1" data-path="../regression/e2006.html">
+ <li class="chapter " data-level="8.1" data-path="../regression/general.html">
- <a href="../regression/e2006.html">
+ <a href="../regression/general.html">
<b>8.1.</b>
- E2006-tfidf regression
+ Regression
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="8.2" data-path="../regression/e2006.html">
+
+ <a href="../regression/e2006.html">
+
+
+ <b>8.2.</b>
+
+ E2006-tfidf regression tutorial
</a>
@@ -1339,12 +1375,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.1.1" data-path="../regression/e2006_dataset.html">
+ <li class="chapter " data-level="8.2.1" data-path="../regression/e2006_dataset.html">
<a href="../regression/e2006_dataset.html">
- <b>8.1.1.</b>
+ <b>8.2.1.</b>
Data preparation
@@ -1354,12 +1390,12 @@
</li>
- <li class="chapter " data-level="8.1.2" data-path="../regression/e2006_arow.html">
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<a href="../regression/e2006_arow.html">
- <b>8.1.2.</b>
+ <b>8.2.2.</b>
Passive Aggressive, AROW
@@ -1374,14 +1410,14 @@
</li>
- <li class="chapter " data-level="8.2" data-path="../regression/kddcup12tr2.html">
+ <li class="chapter " data-level="8.3" data-path="../regression/kddcup12tr2.html">
<a href="../regression/kddcup12tr2.html">
- <b>8.2.</b>
+ <b>8.3.</b>
- KDDCup 2012 track 2 CTR prediction
+ KDDCup 2012 track 2 CTR prediction tutorial
</a>
@@ -1390,12 +1426,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.2.1" data-path="../regression/kddcup12tr2_dataset.html">
+ <li class="chapter " data-level="8.3.1" data-path="../regression/kddcup12tr2_dataset.html">
<a href="../regression/kddcup12tr2_dataset.html">
- <b>8.2.1.</b>
+ <b>8.3.1.</b>
Data preparation
@@ -1405,12 +1441,12 @@
</li>
- <li class="chapter " data-level="8.2.2" data-path="../regression/kddcup12tr2_lr.html">
+ <li class="chapter " data-level="8.3.2" data-path="../regression/kddcup12tr2_lr.html">
<a href="../regression/kddcup12tr2_lr.html">
- <b>8.2.2.</b>
+ <b>8.3.2.</b>
Logistic Regression, Passive Aggressive
@@ -1420,12 +1456,12 @@
</li>
- <li class="chapter " data-level="8.2.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
+ <li class="chapter " data-level="8.3.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
<a href="../regression/kddcup12tr2_lr_amplify.html">
- <b>8.2.3.</b>
+ <b>8.3.3.</b>
Logistic Regression with Amplifier
@@ -1435,12 +1471,12 @@
</li>
- <li class="chapter " data-level="8.2.4" data-path="../regression/kddcup12tr2_adagrad.html">
+ <li class="chapter " data-level="8.3.4" data-path="../regression/kddcup12tr2_adagrad.html">
<a href="../regression/kddcup12tr2_adagrad.html">
- <b>8.2.4.</b>
+ <b>8.3.4.</b>
AdaGrad, AdaDelta
@@ -2297,7 +2333,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
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http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/ba518dab/userguide/regression/e2006.html
----------------------------------------------------------------------
diff --git a/userguide/regression/e2006.html b/userguide/regression/e2006.html
index 95e5646..1d74b79 100644
--- a/userguide/regression/e2006.html
+++ b/userguide/regression/e2006.html
@@ -4,7 +4,7 @@
<head>
<meta charset="UTF-8">
<meta content="text/html; charset=utf-8" http-equiv="Content-Type">
- <title>E2006-tfidf regression · Hivemall User Manual</title>
+ <title>E2006-tfidf regression tutorial · Hivemall User Manual</title>
<meta http-equiv="X-UA-Compatible" content="IE=edge" />
<meta name="description" content="">
<meta name="generator" content="GitBook 3.2.2">
@@ -100,7 +100,7 @@
<link rel="next" href="e2006_dataset.html" />
- <link rel="prev" href="../multiclass/iris_randomforest.html" />
+ <link rel="prev" href="general.html" />
</head>
@@ -598,14 +598,30 @@
</li>
- <li class="chapter " data-level="3.5" data-path="../ft_engineering/tfidf.html">
+ <li class="chapter " data-level="3.5" data-path="../ft_engineering/pairing.html">
- <a href="../ft_engineering/tfidf.html">
+ <a href="../ft_engineering/pairing.html">
<b>3.5.</b>
- TF-IDF Calculation
+ FEATURE PAIRING
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="3.5.1" data-path="../ft_engineering/polynomial.html">
+
+ <a href="../ft_engineering/polynomial.html">
+
+
+ <b>3.5.1.</b>
+
+ Polynomial Features
</a>
@@ -613,6 +629,11 @@
</li>
+
+ </ul>
+
+ </li>
+
<li class="chapter " data-level="3.6" data-path="../ft_engineering/ft_trans.html">
<a href="../ft_engineering/ft_trans.html">
@@ -664,6 +685,21 @@
</li>
+ <li class="chapter " data-level="3.7" data-path="../ft_engineering/tfidf.html">
+
+ <a href="../ft_engineering/tfidf.html">
+
+
+ <b>3.7.</b>
+
+ TF-IDF Calculation
+
+ </a>
+
+
+
+ </li>
+
@@ -761,7 +797,7 @@
- <li class="header">Part V - Prediction</li>
+ <li class="header">Part V - Supervised Learning</li>
@@ -780,27 +816,19 @@
</li>
- <li class="chapter " data-level="5.2" data-path="general.html">
-
- <a href="general.html">
-
-
- <b>5.2.</b>
-
- Regression
-
- </a>
-
-
- </li>
- <li class="chapter " data-level="5.3" data-path="../binaryclass/general.html">
+
+ <li class="header">Part VI - Binary classification</li>
+
+
+
+ <li class="chapter " data-level="6.1" data-path="../binaryclass/general.html">
<a href="../binaryclass/general.html">
- <b>5.3.</b>
+ <b>6.1.</b>
Binary Classification
@@ -810,21 +838,14 @@
</li>
-
-
-
- <li class="header">Part VI - Binary classification tutorials</li>
-
-
-
- <li class="chapter " data-level="6.1" data-path="../binaryclass/a9a.html">
+ <li class="chapter " data-level="6.2" data-path="../binaryclass/a9a.html">
<a href="../binaryclass/a9a.html">
- <b>6.1.</b>
+ <b>6.2.</b>
- a9a
+ a9a tutorial
</a>
@@ -833,12 +854,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.1.1" data-path="../binaryclass/a9a_dataset.html">
+ <li class="chapter " data-level="6.2.1" data-path="../binaryclass/a9a_dataset.html">
<a href="../binaryclass/a9a_dataset.html">
- <b>6.1.1.</b>
+ <b>6.2.1.</b>
Data preparation
@@ -848,12 +869,12 @@
</li>
- <li class="chapter " data-level="6.1.2" data-path="../binaryclass/a9a_lr.html">
+ <li class="chapter " data-level="6.2.2" data-path="../binaryclass/a9a_lr.html">
<a href="../binaryclass/a9a_lr.html">
- <b>6.1.2.</b>
+ <b>6.2.2.</b>
Logistic Regression
@@ -863,12 +884,12 @@
</li>
- <li class="chapter " data-level="6.1.3" data-path="../binaryclass/a9a_minibatch.html">
+ <li class="chapter " data-level="6.2.3" data-path="../binaryclass/a9a_minibatch.html">
<a href="../binaryclass/a9a_minibatch.html">
- <b>6.1.3.</b>
+ <b>6.2.3.</b>
Mini-batch Gradient Descent
@@ -883,14 +904,14 @@
</li>
- <li class="chapter " data-level="6.2" data-path="../binaryclass/news20.html">
+ <li class="chapter " data-level="6.3" data-path="../binaryclass/news20.html">
<a href="../binaryclass/news20.html">
- <b>6.2.</b>
+ <b>6.3.</b>
- News20
+ News20 tutorial
</a>
@@ -899,12 +920,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.2.1" data-path="../binaryclass/news20_dataset.html">
+ <li class="chapter " data-level="6.3.1" data-path="../binaryclass/news20_dataset.html">
<a href="../binaryclass/news20_dataset.html">
- <b>6.2.1.</b>
+ <b>6.3.1.</b>
Data preparation
@@ -914,12 +935,12 @@
</li>
- <li class="chapter " data-level="6.2.2" data-path="../binaryclass/news20_pa.html">
+ <li class="chapter " data-level="6.3.2" data-path="../binaryclass/news20_pa.html">
<a href="../binaryclass/news20_pa.html">
- <b>6.2.2.</b>
+ <b>6.3.2.</b>
Perceptron, Passive Aggressive
@@ -929,12 +950,12 @@
</li>
- <li class="chapter " data-level="6.2.3" data-path="../binaryclass/news20_scw.html">
+ <li class="chapter " data-level="6.3.3" data-path="../binaryclass/news20_scw.html">
<a href="../binaryclass/news20_scw.html">
- <b>6.2.3.</b>
+ <b>6.3.3.</b>
CW, AROW, SCW
@@ -944,12 +965,12 @@
</li>
- <li class="chapter " data-level="6.2.4" data-path="../binaryclass/news20_adagrad.html">
+ <li class="chapter " data-level="6.3.4" data-path="../binaryclass/news20_adagrad.html">
<a href="../binaryclass/news20_adagrad.html">
- <b>6.2.4.</b>
+ <b>6.3.4.</b>
AdaGradRDA, AdaGrad, AdaDelta
@@ -964,14 +985,14 @@
</li>
- <li class="chapter " data-level="6.3" data-path="../binaryclass/kdd2010a.html">
+ <li class="chapter " data-level="6.4" data-path="../binaryclass/kdd2010a.html">
<a href="../binaryclass/kdd2010a.html">
- <b>6.3.</b>
+ <b>6.4.</b>
- KDD2010a
+ KDD2010a tutorial
</a>
@@ -980,12 +1001,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.3.1" data-path="../binaryclass/kdd2010a_dataset.html">
+ <li class="chapter " data-level="6.4.1" data-path="../binaryclass/kdd2010a_dataset.html">
<a href="../binaryclass/kdd2010a_dataset.html">
- <b>6.3.1.</b>
+ <b>6.4.1.</b>
Data preparation
@@ -995,12 +1016,12 @@
</li>
- <li class="chapter " data-level="6.3.2" data-path="../binaryclass/kdd2010a_scw.html">
+ <li class="chapter " data-level="6.4.2" data-path="../binaryclass/kdd2010a_scw.html">
<a href="../binaryclass/kdd2010a_scw.html">
- <b>6.3.2.</b>
+ <b>6.4.2.</b>
PA, CW, AROW, SCW
@@ -1015,14 +1036,14 @@
</li>
- <li class="chapter " data-level="6.4" data-path="../binaryclass/kdd2010b.html">
+ <li class="chapter " data-level="6.5" data-path="../binaryclass/kdd2010b.html">
<a href="../binaryclass/kdd2010b.html">
- <b>6.4.</b>
+ <b>6.5.</b>
- KDD2010b
+ KDD2010b tutorial
</a>
@@ -1031,12 +1052,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.4.1" data-path="../binaryclass/kdd2010b_dataset.html">
+ <li class="chapter " data-level="6.5.1" data-path="../binaryclass/kdd2010b_dataset.html">
<a href="../binaryclass/kdd2010b_dataset.html">
- <b>6.4.1.</b>
+ <b>6.5.1.</b>
Data preparation
@@ -1046,12 +1067,12 @@
</li>
- <li class="chapter " data-level="6.4.2" data-path="../binaryclass/kdd2010b_arow.html">
+ <li class="chapter " data-level="6.5.2" data-path="../binaryclass/kdd2010b_arow.html">
<a href="../binaryclass/kdd2010b_arow.html">
- <b>6.4.2.</b>
+ <b>6.5.2.</b>
AROW
@@ -1066,14 +1087,14 @@
</li>
- <li class="chapter " data-level="6.5" data-path="../binaryclass/webspam.html">
+ <li class="chapter " data-level="6.6" data-path="../binaryclass/webspam.html">
<a href="../binaryclass/webspam.html">
- <b>6.5.</b>
+ <b>6.6.</b>
- Webspam
+ Webspam tutorial
</a>
@@ -1082,12 +1103,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.5.1" data-path="../binaryclass/webspam_dataset.html">
+ <li class="chapter " data-level="6.6.1" data-path="../binaryclass/webspam_dataset.html">
<a href="../binaryclass/webspam_dataset.html">
- <b>6.5.1.</b>
+ <b>6.6.1.</b>
Data pareparation
@@ -1097,12 +1118,12 @@
</li>
- <li class="chapter " data-level="6.5.2" data-path="../binaryclass/webspam_scw.html">
+ <li class="chapter " data-level="6.6.2" data-path="../binaryclass/webspam_scw.html">
<a href="../binaryclass/webspam_scw.html">
- <b>6.5.2.</b>
+ <b>6.6.2.</b>
PA1, AROW, SCW
@@ -1117,14 +1138,14 @@
</li>
- <li class="chapter " data-level="6.6" data-path="../binaryclass/titanic_rf.html">
+ <li class="chapter " data-level="6.7" data-path="../binaryclass/titanic_rf.html">
<a href="../binaryclass/titanic_rf.html">
- <b>6.6.</b>
+ <b>6.7.</b>
- Kaggle Titanic
+ Kaggle Titanic tutorial
</a>
@@ -1135,7 +1156,7 @@
- <li class="header">Part VII - Multiclass classification tutorials</li>
+ <li class="header">Part VII - Multiclass classification</li>
@@ -1146,7 +1167,7 @@
<b>7.1.</b>
- News20 Multiclass
+ News20 Multiclass tutorial
</a>
@@ -1257,7 +1278,7 @@
<b>7.2.</b>
- Iris
+ Iris tutorial
</a>
@@ -1319,18 +1340,33 @@
- <li class="header">Part VIII - Regression tutorials</li>
+ <li class="header">Part VIII - Regression</li>
- <li class="chapter active" data-level="8.1" data-path="e2006.html">
+ <li class="chapter " data-level="8.1" data-path="general.html">
- <a href="e2006.html">
+ <a href="general.html">
<b>8.1.</b>
- E2006-tfidf regression
+ Regression
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter active" data-level="8.2" data-path="e2006.html">
+
+ <a href="e2006.html">
+
+
+ <b>8.2.</b>
+
+ E2006-tfidf regression tutorial
</a>
@@ -1339,12 +1375,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.1.1" data-path="e2006_dataset.html">
+ <li class="chapter " data-level="8.2.1" data-path="e2006_dataset.html">
<a href="e2006_dataset.html">
- <b>8.1.1.</b>
+ <b>8.2.1.</b>
Data preparation
@@ -1354,12 +1390,12 @@
</li>
- <li class="chapter " data-level="8.1.2" data-path="e2006_arow.html">
+ <li class="chapter " data-level="8.2.2" data-path="e2006_arow.html">
<a href="e2006_arow.html">
- <b>8.1.2.</b>
+ <b>8.2.2.</b>
Passive Aggressive, AROW
@@ -1374,14 +1410,14 @@
</li>
- <li class="chapter " data-level="8.2" data-path="kddcup12tr2.html">
+ <li class="chapter " data-level="8.3" data-path="kddcup12tr2.html">
<a href="kddcup12tr2.html">
- <b>8.2.</b>
+ <b>8.3.</b>
- KDDCup 2012 track 2 CTR prediction
+ KDDCup 2012 track 2 CTR prediction tutorial
</a>
@@ -1390,12 +1426,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.2.1" data-path="kddcup12tr2_dataset.html">
+ <li class="chapter " data-level="8.3.1" data-path="kddcup12tr2_dataset.html">
<a href="kddcup12tr2_dataset.html">
- <b>8.2.1.</b>
+ <b>8.3.1.</b>
Data preparation
@@ -1405,12 +1441,12 @@
</li>
- <li class="chapter " data-level="8.2.2" data-path="kddcup12tr2_lr.html">
+ <li class="chapter " data-level="8.3.2" data-path="kddcup12tr2_lr.html">
<a href="kddcup12tr2_lr.html">
- <b>8.2.2.</b>
+ <b>8.3.2.</b>
Logistic Regression, Passive Aggressive
@@ -1420,12 +1456,12 @@
</li>
- <li class="chapter " data-level="8.2.3" data-path="kddcup12tr2_lr_amplify.html">
+ <li class="chapter " data-level="8.3.3" data-path="kddcup12tr2_lr_amplify.html">
<a href="kddcup12tr2_lr_amplify.html">
- <b>8.2.3.</b>
+ <b>8.3.3.</b>
Logistic Regression with Amplifier
@@ -1435,12 +1471,12 @@
</li>
- <li class="chapter " data-level="8.2.4" data-path="kddcup12tr2_adagrad.html">
+ <li class="chapter " data-level="8.3.4" data-path="kddcup12tr2_adagrad.html">
<a href="kddcup12tr2_adagrad.html">
- <b>8.2.4.</b>
+ <b>8.3.4.</b>
AdaGrad, AdaDelta
@@ -2041,7 +2077,7 @@
<!-- Title -->
<h1>
<i class="fa fa-circle-o-notch fa-spin"></i>
- <a href=".." >E2006-tfidf regression</a>
+ <a href=".." >E2006-tfidf regression tutorial</a>
</h1>
</div>
@@ -2129,7 +2165,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
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http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/ba518dab/userguide/regression/e2006_arow.html
----------------------------------------------------------------------
diff --git a/userguide/regression/e2006_arow.html b/userguide/regression/e2006_arow.html
index 9475eb7..011af1c 100644
--- a/userguide/regression/e2006_arow.html
+++ b/userguide/regression/e2006_arow.html
@@ -598,14 +598,30 @@
</li>
- <li class="chapter " data-level="3.5" data-path="../ft_engineering/tfidf.html">
+ <li class="chapter " data-level="3.5" data-path="../ft_engineering/pairing.html">
- <a href="../ft_engineering/tfidf.html">
+ <a href="../ft_engineering/pairing.html">
<b>3.5.</b>
- TF-IDF Calculation
+ FEATURE PAIRING
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="3.5.1" data-path="../ft_engineering/polynomial.html">
+
+ <a href="../ft_engineering/polynomial.html">
+
+
+ <b>3.5.1.</b>
+
+ Polynomial Features
</a>
@@ -613,6 +629,11 @@
</li>
+
+ </ul>
+
+ </li>
+
<li class="chapter " data-level="3.6" data-path="../ft_engineering/ft_trans.html">
<a href="../ft_engineering/ft_trans.html">
@@ -664,6 +685,21 @@
</li>
+ <li class="chapter " data-level="3.7" data-path="../ft_engineering/tfidf.html">
+
+ <a href="../ft_engineering/tfidf.html">
+
+
+ <b>3.7.</b>
+
+ TF-IDF Calculation
+
+ </a>
+
+
+
+ </li>
+
@@ -761,7 +797,7 @@
- <li class="header">Part V - Prediction</li>
+ <li class="header">Part V - Supervised Learning</li>
@@ -780,27 +816,19 @@
</li>
- <li class="chapter " data-level="5.2" data-path="general.html">
-
- <a href="general.html">
-
-
- <b>5.2.</b>
-
- Regression
-
- </a>
-
-
- </li>
- <li class="chapter " data-level="5.3" data-path="../binaryclass/general.html">
+
+ <li class="header">Part VI - Binary classification</li>
+
+
+
+ <li class="chapter " data-level="6.1" data-path="../binaryclass/general.html">
<a href="../binaryclass/general.html">
- <b>5.3.</b>
+ <b>6.1.</b>
Binary Classification
@@ -810,21 +838,14 @@
</li>
-
-
-
- <li class="header">Part VI - Binary classification tutorials</li>
-
-
-
- <li class="chapter " data-level="6.1" data-path="../binaryclass/a9a.html">
+ <li class="chapter " data-level="6.2" data-path="../binaryclass/a9a.html">
<a href="../binaryclass/a9a.html">
- <b>6.1.</b>
+ <b>6.2.</b>
- a9a
+ a9a tutorial
</a>
@@ -833,12 +854,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.1.1" data-path="../binaryclass/a9a_dataset.html">
+ <li class="chapter " data-level="6.2.1" data-path="../binaryclass/a9a_dataset.html">
<a href="../binaryclass/a9a_dataset.html">
- <b>6.1.1.</b>
+ <b>6.2.1.</b>
Data preparation
@@ -848,12 +869,12 @@
</li>
- <li class="chapter " data-level="6.1.2" data-path="../binaryclass/a9a_lr.html">
+ <li class="chapter " data-level="6.2.2" data-path="../binaryclass/a9a_lr.html">
<a href="../binaryclass/a9a_lr.html">
- <b>6.1.2.</b>
+ <b>6.2.2.</b>
Logistic Regression
@@ -863,12 +884,12 @@
</li>
- <li class="chapter " data-level="6.1.3" data-path="../binaryclass/a9a_minibatch.html">
+ <li class="chapter " data-level="6.2.3" data-path="../binaryclass/a9a_minibatch.html">
<a href="../binaryclass/a9a_minibatch.html">
- <b>6.1.3.</b>
+ <b>6.2.3.</b>
Mini-batch Gradient Descent
@@ -883,14 +904,14 @@
</li>
- <li class="chapter " data-level="6.2" data-path="../binaryclass/news20.html">
+ <li class="chapter " data-level="6.3" data-path="../binaryclass/news20.html">
<a href="../binaryclass/news20.html">
- <b>6.2.</b>
+ <b>6.3.</b>
- News20
+ News20 tutorial
</a>
@@ -899,12 +920,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.2.1" data-path="../binaryclass/news20_dataset.html">
+ <li class="chapter " data-level="6.3.1" data-path="../binaryclass/news20_dataset.html">
<a href="../binaryclass/news20_dataset.html">
- <b>6.2.1.</b>
+ <b>6.3.1.</b>
Data preparation
@@ -914,12 +935,12 @@
</li>
- <li class="chapter " data-level="6.2.2" data-path="../binaryclass/news20_pa.html">
+ <li class="chapter " data-level="6.3.2" data-path="../binaryclass/news20_pa.html">
<a href="../binaryclass/news20_pa.html">
- <b>6.2.2.</b>
+ <b>6.3.2.</b>
Perceptron, Passive Aggressive
@@ -929,12 +950,12 @@
</li>
- <li class="chapter " data-level="6.2.3" data-path="../binaryclass/news20_scw.html">
+ <li class="chapter " data-level="6.3.3" data-path="../binaryclass/news20_scw.html">
<a href="../binaryclass/news20_scw.html">
- <b>6.2.3.</b>
+ <b>6.3.3.</b>
CW, AROW, SCW
@@ -944,12 +965,12 @@
</li>
- <li class="chapter " data-level="6.2.4" data-path="../binaryclass/news20_adagrad.html">
+ <li class="chapter " data-level="6.3.4" data-path="../binaryclass/news20_adagrad.html">
<a href="../binaryclass/news20_adagrad.html">
- <b>6.2.4.</b>
+ <b>6.3.4.</b>
AdaGradRDA, AdaGrad, AdaDelta
@@ -964,14 +985,14 @@
</li>
- <li class="chapter " data-level="6.3" data-path="../binaryclass/kdd2010a.html">
+ <li class="chapter " data-level="6.4" data-path="../binaryclass/kdd2010a.html">
<a href="../binaryclass/kdd2010a.html">
- <b>6.3.</b>
+ <b>6.4.</b>
- KDD2010a
+ KDD2010a tutorial
</a>
@@ -980,12 +1001,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.3.1" data-path="../binaryclass/kdd2010a_dataset.html">
+ <li class="chapter " data-level="6.4.1" data-path="../binaryclass/kdd2010a_dataset.html">
<a href="../binaryclass/kdd2010a_dataset.html">
- <b>6.3.1.</b>
+ <b>6.4.1.</b>
Data preparation
@@ -995,12 +1016,12 @@
</li>
- <li class="chapter " data-level="6.3.2" data-path="../binaryclass/kdd2010a_scw.html">
+ <li class="chapter " data-level="6.4.2" data-path="../binaryclass/kdd2010a_scw.html">
<a href="../binaryclass/kdd2010a_scw.html">
- <b>6.3.2.</b>
+ <b>6.4.2.</b>
PA, CW, AROW, SCW
@@ -1015,14 +1036,14 @@
</li>
- <li class="chapter " data-level="6.4" data-path="../binaryclass/kdd2010b.html">
+ <li class="chapter " data-level="6.5" data-path="../binaryclass/kdd2010b.html">
<a href="../binaryclass/kdd2010b.html">
- <b>6.4.</b>
+ <b>6.5.</b>
- KDD2010b
+ KDD2010b tutorial
</a>
@@ -1031,12 +1052,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.4.1" data-path="../binaryclass/kdd2010b_dataset.html">
+ <li class="chapter " data-level="6.5.1" data-path="../binaryclass/kdd2010b_dataset.html">
<a href="../binaryclass/kdd2010b_dataset.html">
- <b>6.4.1.</b>
+ <b>6.5.1.</b>
Data preparation
@@ -1046,12 +1067,12 @@
</li>
- <li class="chapter " data-level="6.4.2" data-path="../binaryclass/kdd2010b_arow.html">
+ <li class="chapter " data-level="6.5.2" data-path="../binaryclass/kdd2010b_arow.html">
<a href="../binaryclass/kdd2010b_arow.html">
- <b>6.4.2.</b>
+ <b>6.5.2.</b>
AROW
@@ -1066,14 +1087,14 @@
</li>
- <li class="chapter " data-level="6.5" data-path="../binaryclass/webspam.html">
+ <li class="chapter " data-level="6.6" data-path="../binaryclass/webspam.html">
<a href="../binaryclass/webspam.html">
- <b>6.5.</b>
+ <b>6.6.</b>
- Webspam
+ Webspam tutorial
</a>
@@ -1082,12 +1103,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.5.1" data-path="../binaryclass/webspam_dataset.html">
+ <li class="chapter " data-level="6.6.1" data-path="../binaryclass/webspam_dataset.html">
<a href="../binaryclass/webspam_dataset.html">
- <b>6.5.1.</b>
+ <b>6.6.1.</b>
Data pareparation
@@ -1097,12 +1118,12 @@
</li>
- <li class="chapter " data-level="6.5.2" data-path="../binaryclass/webspam_scw.html">
+ <li class="chapter " data-level="6.6.2" data-path="../binaryclass/webspam_scw.html">
<a href="../binaryclass/webspam_scw.html">
- <b>6.5.2.</b>
+ <b>6.6.2.</b>
PA1, AROW, SCW
@@ -1117,14 +1138,14 @@
</li>
- <li class="chapter " data-level="6.6" data-path="../binaryclass/titanic_rf.html">
+ <li class="chapter " data-level="6.7" data-path="../binaryclass/titanic_rf.html">
<a href="../binaryclass/titanic_rf.html">
- <b>6.6.</b>
+ <b>6.7.</b>
- Kaggle Titanic
+ Kaggle Titanic tutorial
</a>
@@ -1135,7 +1156,7 @@
- <li class="header">Part VII - Multiclass classification tutorials</li>
+ <li class="header">Part VII - Multiclass classification</li>
@@ -1146,7 +1167,7 @@
<b>7.1.</b>
- News20 Multiclass
+ News20 Multiclass tutorial
</a>
@@ -1257,7 +1278,7 @@
<b>7.2.</b>
- Iris
+ Iris tutorial
</a>
@@ -1319,18 +1340,33 @@
- <li class="header">Part VIII - Regression tutorials</li>
+ <li class="header">Part VIII - Regression</li>
- <li class="chapter " data-level="8.1" data-path="e2006.html">
+ <li class="chapter " data-level="8.1" data-path="general.html">
- <a href="e2006.html">
+ <a href="general.html">
<b>8.1.</b>
- E2006-tfidf regression
+ Regression
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="8.2" data-path="e2006.html">
+
+ <a href="e2006.html">
+
+
+ <b>8.2.</b>
+
+ E2006-tfidf regression tutorial
</a>
@@ -1339,12 +1375,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.1.1" data-path="e2006_dataset.html">
+ <li class="chapter " data-level="8.2.1" data-path="e2006_dataset.html">
<a href="e2006_dataset.html">
- <b>8.1.1.</b>
+ <b>8.2.1.</b>
Data preparation
@@ -1354,12 +1390,12 @@
</li>
- <li class="chapter active" data-level="8.1.2" data-path="e2006_arow.html">
+ <li class="chapter active" data-level="8.2.2" data-path="e2006_arow.html">
<a href="e2006_arow.html">
- <b>8.1.2.</b>
+ <b>8.2.2.</b>
Passive Aggressive, AROW
@@ -1374,14 +1410,14 @@
</li>
- <li class="chapter " data-level="8.2" data-path="kddcup12tr2.html">
+ <li class="chapter " data-level="8.3" data-path="kddcup12tr2.html">
<a href="kddcup12tr2.html">
- <b>8.2.</b>
+ <b>8.3.</b>
- KDDCup 2012 track 2 CTR prediction
+ KDDCup 2012 track 2 CTR prediction tutorial
</a>
@@ -1390,12 +1426,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.2.1" data-path="kddcup12tr2_dataset.html">
+ <li class="chapter " data-level="8.3.1" data-path="kddcup12tr2_dataset.html">
<a href="kddcup12tr2_dataset.html">
- <b>8.2.1.</b>
+ <b>8.3.1.</b>
Data preparation
@@ -1405,12 +1441,12 @@
</li>
- <li class="chapter " data-level="8.2.2" data-path="kddcup12tr2_lr.html">
+ <li class="chapter " data-level="8.3.2" data-path="kddcup12tr2_lr.html">
<a href="kddcup12tr2_lr.html">
- <b>8.2.2.</b>
+ <b>8.3.2.</b>
Logistic Regression, Passive Aggressive
@@ -1420,12 +1456,12 @@
</li>
- <li class="chapter " data-level="8.2.3" data-path="kddcup12tr2_lr_amplify.html">
+ <li class="chapter " data-level="8.3.3" data-path="kddcup12tr2_lr_amplify.html">
<a href="kddcup12tr2_lr_amplify.html">
- <b>8.2.3.</b>
+ <b>8.3.3.</b>
Logistic Regression with Amplifier
@@ -1435,12 +1471,12 @@
</li>
- <li class="chapter " data-level="8.2.4" data-path="kddcup12tr2_adagrad.html">
+ <li class="chapter " data-level="8.3.4" data-path="kddcup12tr2_adagrad.html">
<a href="kddcup12tr2_adagrad.html">
- <b>8.2.4.</b>
+ <b>8.3.4.</b>
AdaGrad, AdaDelta
@@ -2368,7 +2404,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
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[14/41] incubator-hivemall-site git commit: Added descriptions about
Feature Pairing in the user guide
Posted by my...@apache.org.
http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/ba518dab/userguide/recommend/news20.html
----------------------------------------------------------------------
diff --git a/userguide/recommend/news20.html b/userguide/recommend/news20.html
index dfbf939..0d6958e 100644
--- a/userguide/recommend/news20.html
+++ b/userguide/recommend/news20.html
@@ -598,14 +598,30 @@
</li>
- <li class="chapter " data-level="3.5" data-path="../ft_engineering/tfidf.html">
+ <li class="chapter " data-level="3.5" data-path="../ft_engineering/pairing.html">
- <a href="../ft_engineering/tfidf.html">
+ <a href="../ft_engineering/pairing.html">
<b>3.5.</b>
- TF-IDF Calculation
+ FEATURE PAIRING
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="3.5.1" data-path="../ft_engineering/polynomial.html">
+
+ <a href="../ft_engineering/polynomial.html">
+
+
+ <b>3.5.1.</b>
+
+ Polynomial Features
</a>
@@ -613,6 +629,11 @@
</li>
+
+ </ul>
+
+ </li>
+
<li class="chapter " data-level="3.6" data-path="../ft_engineering/ft_trans.html">
<a href="../ft_engineering/ft_trans.html">
@@ -664,6 +685,21 @@
</li>
+ <li class="chapter " data-level="3.7" data-path="../ft_engineering/tfidf.html">
+
+ <a href="../ft_engineering/tfidf.html">
+
+
+ <b>3.7.</b>
+
+ TF-IDF Calculation
+
+ </a>
+
+
+
+ </li>
+
@@ -761,7 +797,7 @@
- <li class="header">Part V - Prediction</li>
+ <li class="header">Part V - Supervised Learning</li>
@@ -780,27 +816,19 @@
</li>
- <li class="chapter " data-level="5.2" data-path="../regression/general.html">
-
- <a href="../regression/general.html">
-
-
- <b>5.2.</b>
-
- Regression
-
- </a>
-
-
- </li>
- <li class="chapter " data-level="5.3" data-path="../binaryclass/general.html">
+
+ <li class="header">Part VI - Binary classification</li>
+
+
+
+ <li class="chapter " data-level="6.1" data-path="../binaryclass/general.html">
<a href="../binaryclass/general.html">
- <b>5.3.</b>
+ <b>6.1.</b>
Binary Classification
@@ -810,21 +838,14 @@
</li>
-
-
-
- <li class="header">Part VI - Binary classification tutorials</li>
-
-
-
- <li class="chapter " data-level="6.1" data-path="../binaryclass/a9a.html">
+ <li class="chapter " data-level="6.2" data-path="../binaryclass/a9a.html">
<a href="../binaryclass/a9a.html">
- <b>6.1.</b>
+ <b>6.2.</b>
- a9a
+ a9a tutorial
</a>
@@ -833,12 +854,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.1.1" data-path="../binaryclass/a9a_dataset.html">
+ <li class="chapter " data-level="6.2.1" data-path="../binaryclass/a9a_dataset.html">
<a href="../binaryclass/a9a_dataset.html">
- <b>6.1.1.</b>
+ <b>6.2.1.</b>
Data preparation
@@ -848,12 +869,12 @@
</li>
- <li class="chapter " data-level="6.1.2" data-path="../binaryclass/a9a_lr.html">
+ <li class="chapter " data-level="6.2.2" data-path="../binaryclass/a9a_lr.html">
<a href="../binaryclass/a9a_lr.html">
- <b>6.1.2.</b>
+ <b>6.2.2.</b>
Logistic Regression
@@ -863,12 +884,12 @@
</li>
- <li class="chapter " data-level="6.1.3" data-path="../binaryclass/a9a_minibatch.html">
+ <li class="chapter " data-level="6.2.3" data-path="../binaryclass/a9a_minibatch.html">
<a href="../binaryclass/a9a_minibatch.html">
- <b>6.1.3.</b>
+ <b>6.2.3.</b>
Mini-batch Gradient Descent
@@ -883,14 +904,14 @@
</li>
- <li class="chapter " data-level="6.2" data-path="../binaryclass/news20.html">
+ <li class="chapter " data-level="6.3" data-path="../binaryclass/news20.html">
<a href="../binaryclass/news20.html">
- <b>6.2.</b>
+ <b>6.3.</b>
- News20
+ News20 tutorial
</a>
@@ -899,12 +920,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.2.1" data-path="../binaryclass/news20_dataset.html">
+ <li class="chapter " data-level="6.3.1" data-path="../binaryclass/news20_dataset.html">
<a href="../binaryclass/news20_dataset.html">
- <b>6.2.1.</b>
+ <b>6.3.1.</b>
Data preparation
@@ -914,12 +935,12 @@
</li>
- <li class="chapter " data-level="6.2.2" data-path="../binaryclass/news20_pa.html">
+ <li class="chapter " data-level="6.3.2" data-path="../binaryclass/news20_pa.html">
<a href="../binaryclass/news20_pa.html">
- <b>6.2.2.</b>
+ <b>6.3.2.</b>
Perceptron, Passive Aggressive
@@ -929,12 +950,12 @@
</li>
- <li class="chapter " data-level="6.2.3" data-path="../binaryclass/news20_scw.html">
+ <li class="chapter " data-level="6.3.3" data-path="../binaryclass/news20_scw.html">
<a href="../binaryclass/news20_scw.html">
- <b>6.2.3.</b>
+ <b>6.3.3.</b>
CW, AROW, SCW
@@ -944,12 +965,12 @@
</li>
- <li class="chapter " data-level="6.2.4" data-path="../binaryclass/news20_adagrad.html">
+ <li class="chapter " data-level="6.3.4" data-path="../binaryclass/news20_adagrad.html">
<a href="../binaryclass/news20_adagrad.html">
- <b>6.2.4.</b>
+ <b>6.3.4.</b>
AdaGradRDA, AdaGrad, AdaDelta
@@ -964,14 +985,14 @@
</li>
- <li class="chapter " data-level="6.3" data-path="../binaryclass/kdd2010a.html">
+ <li class="chapter " data-level="6.4" data-path="../binaryclass/kdd2010a.html">
<a href="../binaryclass/kdd2010a.html">
- <b>6.3.</b>
+ <b>6.4.</b>
- KDD2010a
+ KDD2010a tutorial
</a>
@@ -980,12 +1001,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.3.1" data-path="../binaryclass/kdd2010a_dataset.html">
+ <li class="chapter " data-level="6.4.1" data-path="../binaryclass/kdd2010a_dataset.html">
<a href="../binaryclass/kdd2010a_dataset.html">
- <b>6.3.1.</b>
+ <b>6.4.1.</b>
Data preparation
@@ -995,12 +1016,12 @@
</li>
- <li class="chapter " data-level="6.3.2" data-path="../binaryclass/kdd2010a_scw.html">
+ <li class="chapter " data-level="6.4.2" data-path="../binaryclass/kdd2010a_scw.html">
<a href="../binaryclass/kdd2010a_scw.html">
- <b>6.3.2.</b>
+ <b>6.4.2.</b>
PA, CW, AROW, SCW
@@ -1015,14 +1036,14 @@
</li>
- <li class="chapter " data-level="6.4" data-path="../binaryclass/kdd2010b.html">
+ <li class="chapter " data-level="6.5" data-path="../binaryclass/kdd2010b.html">
<a href="../binaryclass/kdd2010b.html">
- <b>6.4.</b>
+ <b>6.5.</b>
- KDD2010b
+ KDD2010b tutorial
</a>
@@ -1031,12 +1052,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.4.1" data-path="../binaryclass/kdd2010b_dataset.html">
+ <li class="chapter " data-level="6.5.1" data-path="../binaryclass/kdd2010b_dataset.html">
<a href="../binaryclass/kdd2010b_dataset.html">
- <b>6.4.1.</b>
+ <b>6.5.1.</b>
Data preparation
@@ -1046,12 +1067,12 @@
</li>
- <li class="chapter " data-level="6.4.2" data-path="../binaryclass/kdd2010b_arow.html">
+ <li class="chapter " data-level="6.5.2" data-path="../binaryclass/kdd2010b_arow.html">
<a href="../binaryclass/kdd2010b_arow.html">
- <b>6.4.2.</b>
+ <b>6.5.2.</b>
AROW
@@ -1066,14 +1087,14 @@
</li>
- <li class="chapter " data-level="6.5" data-path="../binaryclass/webspam.html">
+ <li class="chapter " data-level="6.6" data-path="../binaryclass/webspam.html">
<a href="../binaryclass/webspam.html">
- <b>6.5.</b>
+ <b>6.6.</b>
- Webspam
+ Webspam tutorial
</a>
@@ -1082,12 +1103,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.5.1" data-path="../binaryclass/webspam_dataset.html">
+ <li class="chapter " data-level="6.6.1" data-path="../binaryclass/webspam_dataset.html">
<a href="../binaryclass/webspam_dataset.html">
- <b>6.5.1.</b>
+ <b>6.6.1.</b>
Data pareparation
@@ -1097,12 +1118,12 @@
</li>
- <li class="chapter " data-level="6.5.2" data-path="../binaryclass/webspam_scw.html">
+ <li class="chapter " data-level="6.6.2" data-path="../binaryclass/webspam_scw.html">
<a href="../binaryclass/webspam_scw.html">
- <b>6.5.2.</b>
+ <b>6.6.2.</b>
PA1, AROW, SCW
@@ -1117,14 +1138,14 @@
</li>
- <li class="chapter " data-level="6.6" data-path="../binaryclass/titanic_rf.html">
+ <li class="chapter " data-level="6.7" data-path="../binaryclass/titanic_rf.html">
<a href="../binaryclass/titanic_rf.html">
- <b>6.6.</b>
+ <b>6.7.</b>
- Kaggle Titanic
+ Kaggle Titanic tutorial
</a>
@@ -1135,7 +1156,7 @@
- <li class="header">Part VII - Multiclass classification tutorials</li>
+ <li class="header">Part VII - Multiclass classification</li>
@@ -1146,7 +1167,7 @@
<b>7.1.</b>
- News20 Multiclass
+ News20 Multiclass tutorial
</a>
@@ -1257,7 +1278,7 @@
<b>7.2.</b>
- Iris
+ Iris tutorial
</a>
@@ -1319,18 +1340,33 @@
- <li class="header">Part VIII - Regression tutorials</li>
+ <li class="header">Part VIII - Regression</li>
- <li class="chapter " data-level="8.1" data-path="../regression/e2006.html">
+ <li class="chapter " data-level="8.1" data-path="../regression/general.html">
- <a href="../regression/e2006.html">
+ <a href="../regression/general.html">
<b>8.1.</b>
- E2006-tfidf regression
+ Regression
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="8.2" data-path="../regression/e2006.html">
+
+ <a href="../regression/e2006.html">
+
+
+ <b>8.2.</b>
+
+ E2006-tfidf regression tutorial
</a>
@@ -1339,12 +1375,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.1.1" data-path="../regression/e2006_dataset.html">
+ <li class="chapter " data-level="8.2.1" data-path="../regression/e2006_dataset.html">
<a href="../regression/e2006_dataset.html">
- <b>8.1.1.</b>
+ <b>8.2.1.</b>
Data preparation
@@ -1354,12 +1390,12 @@
</li>
- <li class="chapter " data-level="8.1.2" data-path="../regression/e2006_arow.html">
+ <li class="chapter " data-level="8.2.2" data-path="../regression/e2006_arow.html">
<a href="../regression/e2006_arow.html">
- <b>8.1.2.</b>
+ <b>8.2.2.</b>
Passive Aggressive, AROW
@@ -1374,14 +1410,14 @@
</li>
- <li class="chapter " data-level="8.2" data-path="../regression/kddcup12tr2.html">
+ <li class="chapter " data-level="8.3" data-path="../regression/kddcup12tr2.html">
<a href="../regression/kddcup12tr2.html">
- <b>8.2.</b>
+ <b>8.3.</b>
- KDDCup 2012 track 2 CTR prediction
+ KDDCup 2012 track 2 CTR prediction tutorial
</a>
@@ -1390,12 +1426,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.2.1" data-path="../regression/kddcup12tr2_dataset.html">
+ <li class="chapter " data-level="8.3.1" data-path="../regression/kddcup12tr2_dataset.html">
<a href="../regression/kddcup12tr2_dataset.html">
- <b>8.2.1.</b>
+ <b>8.3.1.</b>
Data preparation
@@ -1405,12 +1441,12 @@
</li>
- <li class="chapter " data-level="8.2.2" data-path="../regression/kddcup12tr2_lr.html">
+ <li class="chapter " data-level="8.3.2" data-path="../regression/kddcup12tr2_lr.html">
<a href="../regression/kddcup12tr2_lr.html">
- <b>8.2.2.</b>
+ <b>8.3.2.</b>
Logistic Regression, Passive Aggressive
@@ -1420,12 +1456,12 @@
</li>
- <li class="chapter " data-level="8.2.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
+ <li class="chapter " data-level="8.3.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
<a href="../regression/kddcup12tr2_lr_amplify.html">
- <b>8.2.3.</b>
+ <b>8.3.3.</b>
Logistic Regression with Amplifier
@@ -1435,12 +1471,12 @@
</li>
- <li class="chapter " data-level="8.2.4" data-path="../regression/kddcup12tr2_adagrad.html">
+ <li class="chapter " data-level="8.3.4" data-path="../regression/kddcup12tr2_adagrad.html">
<a href="../regression/kddcup12tr2_adagrad.html">
- <b>8.2.4.</b>
+ <b>8.3.4.</b>
AdaGrad, AdaDelta
@@ -2129,7 +2165,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
<script>
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----------------------------------------------------------------------
diff --git a/userguide/recommend/news20_bbit_minhash.html b/userguide/recommend/news20_bbit_minhash.html
index ad32dd6..d2a00c0 100644
--- a/userguide/recommend/news20_bbit_minhash.html
+++ b/userguide/recommend/news20_bbit_minhash.html
@@ -598,14 +598,30 @@
</li>
- <li class="chapter " data-level="3.5" data-path="../ft_engineering/tfidf.html">
+ <li class="chapter " data-level="3.5" data-path="../ft_engineering/pairing.html">
- <a href="../ft_engineering/tfidf.html">
+ <a href="../ft_engineering/pairing.html">
<b>3.5.</b>
- TF-IDF Calculation
+ FEATURE PAIRING
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="3.5.1" data-path="../ft_engineering/polynomial.html">
+
+ <a href="../ft_engineering/polynomial.html">
+
+
+ <b>3.5.1.</b>
+
+ Polynomial Features
</a>
@@ -613,6 +629,11 @@
</li>
+
+ </ul>
+
+ </li>
+
<li class="chapter " data-level="3.6" data-path="../ft_engineering/ft_trans.html">
<a href="../ft_engineering/ft_trans.html">
@@ -664,6 +685,21 @@
</li>
+ <li class="chapter " data-level="3.7" data-path="../ft_engineering/tfidf.html">
+
+ <a href="../ft_engineering/tfidf.html">
+
+
+ <b>3.7.</b>
+
+ TF-IDF Calculation
+
+ </a>
+
+
+
+ </li>
+
@@ -761,7 +797,7 @@
- <li class="header">Part V - Prediction</li>
+ <li class="header">Part V - Supervised Learning</li>
@@ -780,27 +816,19 @@
</li>
- <li class="chapter " data-level="5.2" data-path="../regression/general.html">
-
- <a href="../regression/general.html">
-
-
- <b>5.2.</b>
-
- Regression
-
- </a>
-
-
- </li>
- <li class="chapter " data-level="5.3" data-path="../binaryclass/general.html">
+
+ <li class="header">Part VI - Binary classification</li>
+
+
+
+ <li class="chapter " data-level="6.1" data-path="../binaryclass/general.html">
<a href="../binaryclass/general.html">
- <b>5.3.</b>
+ <b>6.1.</b>
Binary Classification
@@ -810,21 +838,14 @@
</li>
-
-
-
- <li class="header">Part VI - Binary classification tutorials</li>
-
-
-
- <li class="chapter " data-level="6.1" data-path="../binaryclass/a9a.html">
+ <li class="chapter " data-level="6.2" data-path="../binaryclass/a9a.html">
<a href="../binaryclass/a9a.html">
- <b>6.1.</b>
+ <b>6.2.</b>
- a9a
+ a9a tutorial
</a>
@@ -833,12 +854,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.1.1" data-path="../binaryclass/a9a_dataset.html">
+ <li class="chapter " data-level="6.2.1" data-path="../binaryclass/a9a_dataset.html">
<a href="../binaryclass/a9a_dataset.html">
- <b>6.1.1.</b>
+ <b>6.2.1.</b>
Data preparation
@@ -848,12 +869,12 @@
</li>
- <li class="chapter " data-level="6.1.2" data-path="../binaryclass/a9a_lr.html">
+ <li class="chapter " data-level="6.2.2" data-path="../binaryclass/a9a_lr.html">
<a href="../binaryclass/a9a_lr.html">
- <b>6.1.2.</b>
+ <b>6.2.2.</b>
Logistic Regression
@@ -863,12 +884,12 @@
</li>
- <li class="chapter " data-level="6.1.3" data-path="../binaryclass/a9a_minibatch.html">
+ <li class="chapter " data-level="6.2.3" data-path="../binaryclass/a9a_minibatch.html">
<a href="../binaryclass/a9a_minibatch.html">
- <b>6.1.3.</b>
+ <b>6.2.3.</b>
Mini-batch Gradient Descent
@@ -883,14 +904,14 @@
</li>
- <li class="chapter " data-level="6.2" data-path="../binaryclass/news20.html">
+ <li class="chapter " data-level="6.3" data-path="../binaryclass/news20.html">
<a href="../binaryclass/news20.html">
- <b>6.2.</b>
+ <b>6.3.</b>
- News20
+ News20 tutorial
</a>
@@ -899,12 +920,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.2.1" data-path="../binaryclass/news20_dataset.html">
+ <li class="chapter " data-level="6.3.1" data-path="../binaryclass/news20_dataset.html">
<a href="../binaryclass/news20_dataset.html">
- <b>6.2.1.</b>
+ <b>6.3.1.</b>
Data preparation
@@ -914,12 +935,12 @@
</li>
- <li class="chapter " data-level="6.2.2" data-path="../binaryclass/news20_pa.html">
+ <li class="chapter " data-level="6.3.2" data-path="../binaryclass/news20_pa.html">
<a href="../binaryclass/news20_pa.html">
- <b>6.2.2.</b>
+ <b>6.3.2.</b>
Perceptron, Passive Aggressive
@@ -929,12 +950,12 @@
</li>
- <li class="chapter " data-level="6.2.3" data-path="../binaryclass/news20_scw.html">
+ <li class="chapter " data-level="6.3.3" data-path="../binaryclass/news20_scw.html">
<a href="../binaryclass/news20_scw.html">
- <b>6.2.3.</b>
+ <b>6.3.3.</b>
CW, AROW, SCW
@@ -944,12 +965,12 @@
</li>
- <li class="chapter " data-level="6.2.4" data-path="../binaryclass/news20_adagrad.html">
+ <li class="chapter " data-level="6.3.4" data-path="../binaryclass/news20_adagrad.html">
<a href="../binaryclass/news20_adagrad.html">
- <b>6.2.4.</b>
+ <b>6.3.4.</b>
AdaGradRDA, AdaGrad, AdaDelta
@@ -964,14 +985,14 @@
</li>
- <li class="chapter " data-level="6.3" data-path="../binaryclass/kdd2010a.html">
+ <li class="chapter " data-level="6.4" data-path="../binaryclass/kdd2010a.html">
<a href="../binaryclass/kdd2010a.html">
- <b>6.3.</b>
+ <b>6.4.</b>
- KDD2010a
+ KDD2010a tutorial
</a>
@@ -980,12 +1001,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.3.1" data-path="../binaryclass/kdd2010a_dataset.html">
+ <li class="chapter " data-level="6.4.1" data-path="../binaryclass/kdd2010a_dataset.html">
<a href="../binaryclass/kdd2010a_dataset.html">
- <b>6.3.1.</b>
+ <b>6.4.1.</b>
Data preparation
@@ -995,12 +1016,12 @@
</li>
- <li class="chapter " data-level="6.3.2" data-path="../binaryclass/kdd2010a_scw.html">
+ <li class="chapter " data-level="6.4.2" data-path="../binaryclass/kdd2010a_scw.html">
<a href="../binaryclass/kdd2010a_scw.html">
- <b>6.3.2.</b>
+ <b>6.4.2.</b>
PA, CW, AROW, SCW
@@ -1015,14 +1036,14 @@
</li>
- <li class="chapter " data-level="6.4" data-path="../binaryclass/kdd2010b.html">
+ <li class="chapter " data-level="6.5" data-path="../binaryclass/kdd2010b.html">
<a href="../binaryclass/kdd2010b.html">
- <b>6.4.</b>
+ <b>6.5.</b>
- KDD2010b
+ KDD2010b tutorial
</a>
@@ -1031,12 +1052,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.4.1" data-path="../binaryclass/kdd2010b_dataset.html">
+ <li class="chapter " data-level="6.5.1" data-path="../binaryclass/kdd2010b_dataset.html">
<a href="../binaryclass/kdd2010b_dataset.html">
- <b>6.4.1.</b>
+ <b>6.5.1.</b>
Data preparation
@@ -1046,12 +1067,12 @@
</li>
- <li class="chapter " data-level="6.4.2" data-path="../binaryclass/kdd2010b_arow.html">
+ <li class="chapter " data-level="6.5.2" data-path="../binaryclass/kdd2010b_arow.html">
<a href="../binaryclass/kdd2010b_arow.html">
- <b>6.4.2.</b>
+ <b>6.5.2.</b>
AROW
@@ -1066,14 +1087,14 @@
</li>
- <li class="chapter " data-level="6.5" data-path="../binaryclass/webspam.html">
+ <li class="chapter " data-level="6.6" data-path="../binaryclass/webspam.html">
<a href="../binaryclass/webspam.html">
- <b>6.5.</b>
+ <b>6.6.</b>
- Webspam
+ Webspam tutorial
</a>
@@ -1082,12 +1103,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.5.1" data-path="../binaryclass/webspam_dataset.html">
+ <li class="chapter " data-level="6.6.1" data-path="../binaryclass/webspam_dataset.html">
<a href="../binaryclass/webspam_dataset.html">
- <b>6.5.1.</b>
+ <b>6.6.1.</b>
Data pareparation
@@ -1097,12 +1118,12 @@
</li>
- <li class="chapter " data-level="6.5.2" data-path="../binaryclass/webspam_scw.html">
+ <li class="chapter " data-level="6.6.2" data-path="../binaryclass/webspam_scw.html">
<a href="../binaryclass/webspam_scw.html">
- <b>6.5.2.</b>
+ <b>6.6.2.</b>
PA1, AROW, SCW
@@ -1117,14 +1138,14 @@
</li>
- <li class="chapter " data-level="6.6" data-path="../binaryclass/titanic_rf.html">
+ <li class="chapter " data-level="6.7" data-path="../binaryclass/titanic_rf.html">
<a href="../binaryclass/titanic_rf.html">
- <b>6.6.</b>
+ <b>6.7.</b>
- Kaggle Titanic
+ Kaggle Titanic tutorial
</a>
@@ -1135,7 +1156,7 @@
- <li class="header">Part VII - Multiclass classification tutorials</li>
+ <li class="header">Part VII - Multiclass classification</li>
@@ -1146,7 +1167,7 @@
<b>7.1.</b>
- News20 Multiclass
+ News20 Multiclass tutorial
</a>
@@ -1257,7 +1278,7 @@
<b>7.2.</b>
- Iris
+ Iris tutorial
</a>
@@ -1319,18 +1340,33 @@
- <li class="header">Part VIII - Regression tutorials</li>
+ <li class="header">Part VIII - Regression</li>
- <li class="chapter " data-level="8.1" data-path="../regression/e2006.html">
+ <li class="chapter " data-level="8.1" data-path="../regression/general.html">
- <a href="../regression/e2006.html">
+ <a href="../regression/general.html">
<b>8.1.</b>
- E2006-tfidf regression
+ Regression
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="8.2" data-path="../regression/e2006.html">
+
+ <a href="../regression/e2006.html">
+
+
+ <b>8.2.</b>
+
+ E2006-tfidf regression tutorial
</a>
@@ -1339,12 +1375,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.1.1" data-path="../regression/e2006_dataset.html">
+ <li class="chapter " data-level="8.2.1" data-path="../regression/e2006_dataset.html">
<a href="../regression/e2006_dataset.html">
- <b>8.1.1.</b>
+ <b>8.2.1.</b>
Data preparation
@@ -1354,12 +1390,12 @@
</li>
- <li class="chapter " data-level="8.1.2" data-path="../regression/e2006_arow.html">
+ <li class="chapter " data-level="8.2.2" data-path="../regression/e2006_arow.html">
<a href="../regression/e2006_arow.html">
- <b>8.1.2.</b>
+ <b>8.2.2.</b>
Passive Aggressive, AROW
@@ -1374,14 +1410,14 @@
</li>
- <li class="chapter " data-level="8.2" data-path="../regression/kddcup12tr2.html">
+ <li class="chapter " data-level="8.3" data-path="../regression/kddcup12tr2.html">
<a href="../regression/kddcup12tr2.html">
- <b>8.2.</b>
+ <b>8.3.</b>
- KDDCup 2012 track 2 CTR prediction
+ KDDCup 2012 track 2 CTR prediction tutorial
</a>
@@ -1390,12 +1426,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.2.1" data-path="../regression/kddcup12tr2_dataset.html">
+ <li class="chapter " data-level="8.3.1" data-path="../regression/kddcup12tr2_dataset.html">
<a href="../regression/kddcup12tr2_dataset.html">
- <b>8.2.1.</b>
+ <b>8.3.1.</b>
Data preparation
@@ -1405,12 +1441,12 @@
</li>
- <li class="chapter " data-level="8.2.2" data-path="../regression/kddcup12tr2_lr.html">
+ <li class="chapter " data-level="8.3.2" data-path="../regression/kddcup12tr2_lr.html">
<a href="../regression/kddcup12tr2_lr.html">
- <b>8.2.2.</b>
+ <b>8.3.2.</b>
Logistic Regression, Passive Aggressive
@@ -1420,12 +1456,12 @@
</li>
- <li class="chapter " data-level="8.2.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
+ <li class="chapter " data-level="8.3.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
<a href="../regression/kddcup12tr2_lr_amplify.html">
- <b>8.2.3.</b>
+ <b>8.3.3.</b>
Logistic Regression with Amplifier
@@ -1435,12 +1471,12 @@
</li>
- <li class="chapter " data-level="8.2.4" data-path="../regression/kddcup12tr2_adagrad.html">
+ <li class="chapter " data-level="8.3.4" data-path="../regression/kddcup12tr2_adagrad.html">
<a href="../regression/kddcup12tr2_adagrad.html">
- <b>8.2.4.</b>
+ <b>8.3.4.</b>
AdaGrad, AdaDelta
@@ -2219,7 +2255,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
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----------------------------------------------------------------------
diff --git a/userguide/recommend/news20_jaccard.html b/userguide/recommend/news20_jaccard.html
index dc01f63..a80f92a 100644
--- a/userguide/recommend/news20_jaccard.html
+++ b/userguide/recommend/news20_jaccard.html
@@ -598,14 +598,30 @@
</li>
- <li class="chapter " data-level="3.5" data-path="../ft_engineering/tfidf.html">
+ <li class="chapter " data-level="3.5" data-path="../ft_engineering/pairing.html">
- <a href="../ft_engineering/tfidf.html">
+ <a href="../ft_engineering/pairing.html">
<b>3.5.</b>
- TF-IDF Calculation
+ FEATURE PAIRING
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="3.5.1" data-path="../ft_engineering/polynomial.html">
+
+ <a href="../ft_engineering/polynomial.html">
+
+
+ <b>3.5.1.</b>
+
+ Polynomial Features
</a>
@@ -613,6 +629,11 @@
</li>
+
+ </ul>
+
+ </li>
+
<li class="chapter " data-level="3.6" data-path="../ft_engineering/ft_trans.html">
<a href="../ft_engineering/ft_trans.html">
@@ -664,6 +685,21 @@
</li>
+ <li class="chapter " data-level="3.7" data-path="../ft_engineering/tfidf.html">
+
+ <a href="../ft_engineering/tfidf.html">
+
+
+ <b>3.7.</b>
+
+ TF-IDF Calculation
+
+ </a>
+
+
+
+ </li>
+
@@ -761,7 +797,7 @@
- <li class="header">Part V - Prediction</li>
+ <li class="header">Part V - Supervised Learning</li>
@@ -780,27 +816,19 @@
</li>
- <li class="chapter " data-level="5.2" data-path="../regression/general.html">
-
- <a href="../regression/general.html">
-
-
- <b>5.2.</b>
-
- Regression
-
- </a>
-
-
- </li>
- <li class="chapter " data-level="5.3" data-path="../binaryclass/general.html">
+
+ <li class="header">Part VI - Binary classification</li>
+
+
+
+ <li class="chapter " data-level="6.1" data-path="../binaryclass/general.html">
<a href="../binaryclass/general.html">
- <b>5.3.</b>
+ <b>6.1.</b>
Binary Classification
@@ -810,21 +838,14 @@
</li>
-
-
-
- <li class="header">Part VI - Binary classification tutorials</li>
-
-
-
- <li class="chapter " data-level="6.1" data-path="../binaryclass/a9a.html">
+ <li class="chapter " data-level="6.2" data-path="../binaryclass/a9a.html">
<a href="../binaryclass/a9a.html">
- <b>6.1.</b>
+ <b>6.2.</b>
- a9a
+ a9a tutorial
</a>
@@ -833,12 +854,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.1.1" data-path="../binaryclass/a9a_dataset.html">
+ <li class="chapter " data-level="6.2.1" data-path="../binaryclass/a9a_dataset.html">
<a href="../binaryclass/a9a_dataset.html">
- <b>6.1.1.</b>
+ <b>6.2.1.</b>
Data preparation
@@ -848,12 +869,12 @@
</li>
- <li class="chapter " data-level="6.1.2" data-path="../binaryclass/a9a_lr.html">
+ <li class="chapter " data-level="6.2.2" data-path="../binaryclass/a9a_lr.html">
<a href="../binaryclass/a9a_lr.html">
- <b>6.1.2.</b>
+ <b>6.2.2.</b>
Logistic Regression
@@ -863,12 +884,12 @@
</li>
- <li class="chapter " data-level="6.1.3" data-path="../binaryclass/a9a_minibatch.html">
+ <li class="chapter " data-level="6.2.3" data-path="../binaryclass/a9a_minibatch.html">
<a href="../binaryclass/a9a_minibatch.html">
- <b>6.1.3.</b>
+ <b>6.2.3.</b>
Mini-batch Gradient Descent
@@ -883,14 +904,14 @@
</li>
- <li class="chapter " data-level="6.2" data-path="../binaryclass/news20.html">
+ <li class="chapter " data-level="6.3" data-path="../binaryclass/news20.html">
<a href="../binaryclass/news20.html">
- <b>6.2.</b>
+ <b>6.3.</b>
- News20
+ News20 tutorial
</a>
@@ -899,12 +920,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.2.1" data-path="../binaryclass/news20_dataset.html">
+ <li class="chapter " data-level="6.3.1" data-path="../binaryclass/news20_dataset.html">
<a href="../binaryclass/news20_dataset.html">
- <b>6.2.1.</b>
+ <b>6.3.1.</b>
Data preparation
@@ -914,12 +935,12 @@
</li>
- <li class="chapter " data-level="6.2.2" data-path="../binaryclass/news20_pa.html">
+ <li class="chapter " data-level="6.3.2" data-path="../binaryclass/news20_pa.html">
<a href="../binaryclass/news20_pa.html">
- <b>6.2.2.</b>
+ <b>6.3.2.</b>
Perceptron, Passive Aggressive
@@ -929,12 +950,12 @@
</li>
- <li class="chapter " data-level="6.2.3" data-path="../binaryclass/news20_scw.html">
+ <li class="chapter " data-level="6.3.3" data-path="../binaryclass/news20_scw.html">
<a href="../binaryclass/news20_scw.html">
- <b>6.2.3.</b>
+ <b>6.3.3.</b>
CW, AROW, SCW
@@ -944,12 +965,12 @@
</li>
- <li class="chapter " data-level="6.2.4" data-path="../binaryclass/news20_adagrad.html">
+ <li class="chapter " data-level="6.3.4" data-path="../binaryclass/news20_adagrad.html">
<a href="../binaryclass/news20_adagrad.html">
- <b>6.2.4.</b>
+ <b>6.3.4.</b>
AdaGradRDA, AdaGrad, AdaDelta
@@ -964,14 +985,14 @@
</li>
- <li class="chapter " data-level="6.3" data-path="../binaryclass/kdd2010a.html">
+ <li class="chapter " data-level="6.4" data-path="../binaryclass/kdd2010a.html">
<a href="../binaryclass/kdd2010a.html">
- <b>6.3.</b>
+ <b>6.4.</b>
- KDD2010a
+ KDD2010a tutorial
</a>
@@ -980,12 +1001,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.3.1" data-path="../binaryclass/kdd2010a_dataset.html">
+ <li class="chapter " data-level="6.4.1" data-path="../binaryclass/kdd2010a_dataset.html">
<a href="../binaryclass/kdd2010a_dataset.html">
- <b>6.3.1.</b>
+ <b>6.4.1.</b>
Data preparation
@@ -995,12 +1016,12 @@
</li>
- <li class="chapter " data-level="6.3.2" data-path="../binaryclass/kdd2010a_scw.html">
+ <li class="chapter " data-level="6.4.2" data-path="../binaryclass/kdd2010a_scw.html">
<a href="../binaryclass/kdd2010a_scw.html">
- <b>6.3.2.</b>
+ <b>6.4.2.</b>
PA, CW, AROW, SCW
@@ -1015,14 +1036,14 @@
</li>
- <li class="chapter " data-level="6.4" data-path="../binaryclass/kdd2010b.html">
+ <li class="chapter " data-level="6.5" data-path="../binaryclass/kdd2010b.html">
<a href="../binaryclass/kdd2010b.html">
- <b>6.4.</b>
+ <b>6.5.</b>
- KDD2010b
+ KDD2010b tutorial
</a>
@@ -1031,12 +1052,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.4.1" data-path="../binaryclass/kdd2010b_dataset.html">
+ <li class="chapter " data-level="6.5.1" data-path="../binaryclass/kdd2010b_dataset.html">
<a href="../binaryclass/kdd2010b_dataset.html">
- <b>6.4.1.</b>
+ <b>6.5.1.</b>
Data preparation
@@ -1046,12 +1067,12 @@
</li>
- <li class="chapter " data-level="6.4.2" data-path="../binaryclass/kdd2010b_arow.html">
+ <li class="chapter " data-level="6.5.2" data-path="../binaryclass/kdd2010b_arow.html">
<a href="../binaryclass/kdd2010b_arow.html">
- <b>6.4.2.</b>
+ <b>6.5.2.</b>
AROW
@@ -1066,14 +1087,14 @@
</li>
- <li class="chapter " data-level="6.5" data-path="../binaryclass/webspam.html">
+ <li class="chapter " data-level="6.6" data-path="../binaryclass/webspam.html">
<a href="../binaryclass/webspam.html">
- <b>6.5.</b>
+ <b>6.6.</b>
- Webspam
+ Webspam tutorial
</a>
@@ -1082,12 +1103,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.5.1" data-path="../binaryclass/webspam_dataset.html">
+ <li class="chapter " data-level="6.6.1" data-path="../binaryclass/webspam_dataset.html">
<a href="../binaryclass/webspam_dataset.html">
- <b>6.5.1.</b>
+ <b>6.6.1.</b>
Data pareparation
@@ -1097,12 +1118,12 @@
</li>
- <li class="chapter " data-level="6.5.2" data-path="../binaryclass/webspam_scw.html">
+ <li class="chapter " data-level="6.6.2" data-path="../binaryclass/webspam_scw.html">
<a href="../binaryclass/webspam_scw.html">
- <b>6.5.2.</b>
+ <b>6.6.2.</b>
PA1, AROW, SCW
@@ -1117,14 +1138,14 @@
</li>
- <li class="chapter " data-level="6.6" data-path="../binaryclass/titanic_rf.html">
+ <li class="chapter " data-level="6.7" data-path="../binaryclass/titanic_rf.html">
<a href="../binaryclass/titanic_rf.html">
- <b>6.6.</b>
+ <b>6.7.</b>
- Kaggle Titanic
+ Kaggle Titanic tutorial
</a>
@@ -1135,7 +1156,7 @@
- <li class="header">Part VII - Multiclass classification tutorials</li>
+ <li class="header">Part VII - Multiclass classification</li>
@@ -1146,7 +1167,7 @@
<b>7.1.</b>
- News20 Multiclass
+ News20 Multiclass tutorial
</a>
@@ -1257,7 +1278,7 @@
<b>7.2.</b>
- Iris
+ Iris tutorial
</a>
@@ -1319,18 +1340,33 @@
- <li class="header">Part VIII - Regression tutorials</li>
+ <li class="header">Part VIII - Regression</li>
- <li class="chapter " data-level="8.1" data-path="../regression/e2006.html">
+ <li class="chapter " data-level="8.1" data-path="../regression/general.html">
- <a href="../regression/e2006.html">
+ <a href="../regression/general.html">
<b>8.1.</b>
- E2006-tfidf regression
+ Regression
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="8.2" data-path="../regression/e2006.html">
+
+ <a href="../regression/e2006.html">
+
+
+ <b>8.2.</b>
+
+ E2006-tfidf regression tutorial
</a>
@@ -1339,12 +1375,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.1.1" data-path="../regression/e2006_dataset.html">
+ <li class="chapter " data-level="8.2.1" data-path="../regression/e2006_dataset.html">
<a href="../regression/e2006_dataset.html">
- <b>8.1.1.</b>
+ <b>8.2.1.</b>
Data preparation
@@ -1354,12 +1390,12 @@
</li>
- <li class="chapter " data-level="8.1.2" data-path="../regression/e2006_arow.html">
+ <li class="chapter " data-level="8.2.2" data-path="../regression/e2006_arow.html">
<a href="../regression/e2006_arow.html">
- <b>8.1.2.</b>
+ <b>8.2.2.</b>
Passive Aggressive, AROW
@@ -1374,14 +1410,14 @@
</li>
- <li class="chapter " data-level="8.2" data-path="../regression/kddcup12tr2.html">
+ <li class="chapter " data-level="8.3" data-path="../regression/kddcup12tr2.html">
<a href="../regression/kddcup12tr2.html">
- <b>8.2.</b>
+ <b>8.3.</b>
- KDDCup 2012 track 2 CTR prediction
+ KDDCup 2012 track 2 CTR prediction tutorial
</a>
@@ -1390,12 +1426,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.2.1" data-path="../regression/kddcup12tr2_dataset.html">
+ <li class="chapter " data-level="8.3.1" data-path="../regression/kddcup12tr2_dataset.html">
<a href="../regression/kddcup12tr2_dataset.html">
- <b>8.2.1.</b>
+ <b>8.3.1.</b>
Data preparation
@@ -1405,12 +1441,12 @@
</li>
- <li class="chapter " data-level="8.2.2" data-path="../regression/kddcup12tr2_lr.html">
+ <li class="chapter " data-level="8.3.2" data-path="../regression/kddcup12tr2_lr.html">
<a href="../regression/kddcup12tr2_lr.html">
- <b>8.2.2.</b>
+ <b>8.3.2.</b>
Logistic Regression, Passive Aggressive
@@ -1420,12 +1456,12 @@
</li>
- <li class="chapter " data-level="8.2.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
+ <li class="chapter " data-level="8.3.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
<a href="../regression/kddcup12tr2_lr_amplify.html">
- <b>8.2.3.</b>
+ <b>8.3.3.</b>
Logistic Regression with Amplifier
@@ -1435,12 +1471,12 @@
</li>
- <li class="chapter " data-level="8.2.4" data-path="../regression/kddcup12tr2_adagrad.html">
+ <li class="chapter " data-level="8.3.4" data-path="../regression/kddcup12tr2_adagrad.html">
<a href="../regression/kddcup12tr2_adagrad.html">
- <b>8.2.4.</b>
+ <b>8.3.4.</b>
AdaGrad, AdaDelta
@@ -2240,7 +2276,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
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[03/41] incubator-hivemall-site git commit: Added descriptions about
Feature Pairing in the user guide
Posted by my...@apache.org.
http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/ba518dab/userguide/tips/rand_amplify.html
----------------------------------------------------------------------
diff --git a/userguide/tips/rand_amplify.html b/userguide/tips/rand_amplify.html
index e614d38..c707b75 100644
--- a/userguide/tips/rand_amplify.html
+++ b/userguide/tips/rand_amplify.html
@@ -598,14 +598,30 @@
</li>
- <li class="chapter " data-level="3.5" data-path="../ft_engineering/tfidf.html">
+ <li class="chapter " data-level="3.5" data-path="../ft_engineering/pairing.html">
- <a href="../ft_engineering/tfidf.html">
+ <a href="../ft_engineering/pairing.html">
<b>3.5.</b>
- TF-IDF Calculation
+ FEATURE PAIRING
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="3.5.1" data-path="../ft_engineering/polynomial.html">
+
+ <a href="../ft_engineering/polynomial.html">
+
+
+ <b>3.5.1.</b>
+
+ Polynomial Features
</a>
@@ -613,6 +629,11 @@
</li>
+
+ </ul>
+
+ </li>
+
<li class="chapter " data-level="3.6" data-path="../ft_engineering/ft_trans.html">
<a href="../ft_engineering/ft_trans.html">
@@ -664,6 +685,21 @@
</li>
+ <li class="chapter " data-level="3.7" data-path="../ft_engineering/tfidf.html">
+
+ <a href="../ft_engineering/tfidf.html">
+
+
+ <b>3.7.</b>
+
+ TF-IDF Calculation
+
+ </a>
+
+
+
+ </li>
+
@@ -761,7 +797,7 @@
- <li class="header">Part V - Prediction</li>
+ <li class="header">Part V - Supervised Learning</li>
@@ -780,27 +816,19 @@
</li>
- <li class="chapter " data-level="5.2" data-path="../regression/general.html">
-
- <a href="../regression/general.html">
-
-
- <b>5.2.</b>
-
- Regression
-
- </a>
-
-
- </li>
- <li class="chapter " data-level="5.3" data-path="../binaryclass/general.html">
+
+ <li class="header">Part VI - Binary classification</li>
+
+
+
+ <li class="chapter " data-level="6.1" data-path="../binaryclass/general.html">
<a href="../binaryclass/general.html">
- <b>5.3.</b>
+ <b>6.1.</b>
Binary Classification
@@ -810,21 +838,14 @@
</li>
-
-
-
- <li class="header">Part VI - Binary classification tutorials</li>
-
-
-
- <li class="chapter " data-level="6.1" data-path="../binaryclass/a9a.html">
+ <li class="chapter " data-level="6.2" data-path="../binaryclass/a9a.html">
<a href="../binaryclass/a9a.html">
- <b>6.1.</b>
+ <b>6.2.</b>
- a9a
+ a9a tutorial
</a>
@@ -833,12 +854,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.1.1" data-path="../binaryclass/a9a_dataset.html">
+ <li class="chapter " data-level="6.2.1" data-path="../binaryclass/a9a_dataset.html">
<a href="../binaryclass/a9a_dataset.html">
- <b>6.1.1.</b>
+ <b>6.2.1.</b>
Data preparation
@@ -848,12 +869,12 @@
</li>
- <li class="chapter " data-level="6.1.2" data-path="../binaryclass/a9a_lr.html">
+ <li class="chapter " data-level="6.2.2" data-path="../binaryclass/a9a_lr.html">
<a href="../binaryclass/a9a_lr.html">
- <b>6.1.2.</b>
+ <b>6.2.2.</b>
Logistic Regression
@@ -863,12 +884,12 @@
</li>
- <li class="chapter " data-level="6.1.3" data-path="../binaryclass/a9a_minibatch.html">
+ <li class="chapter " data-level="6.2.3" data-path="../binaryclass/a9a_minibatch.html">
<a href="../binaryclass/a9a_minibatch.html">
- <b>6.1.3.</b>
+ <b>6.2.3.</b>
Mini-batch Gradient Descent
@@ -883,14 +904,14 @@
</li>
- <li class="chapter " data-level="6.2" data-path="../binaryclass/news20.html">
+ <li class="chapter " data-level="6.3" data-path="../binaryclass/news20.html">
<a href="../binaryclass/news20.html">
- <b>6.2.</b>
+ <b>6.3.</b>
- News20
+ News20 tutorial
</a>
@@ -899,12 +920,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.2.1" data-path="../binaryclass/news20_dataset.html">
+ <li class="chapter " data-level="6.3.1" data-path="../binaryclass/news20_dataset.html">
<a href="../binaryclass/news20_dataset.html">
- <b>6.2.1.</b>
+ <b>6.3.1.</b>
Data preparation
@@ -914,12 +935,12 @@
</li>
- <li class="chapter " data-level="6.2.2" data-path="../binaryclass/news20_pa.html">
+ <li class="chapter " data-level="6.3.2" data-path="../binaryclass/news20_pa.html">
<a href="../binaryclass/news20_pa.html">
- <b>6.2.2.</b>
+ <b>6.3.2.</b>
Perceptron, Passive Aggressive
@@ -929,12 +950,12 @@
</li>
- <li class="chapter " data-level="6.2.3" data-path="../binaryclass/news20_scw.html">
+ <li class="chapter " data-level="6.3.3" data-path="../binaryclass/news20_scw.html">
<a href="../binaryclass/news20_scw.html">
- <b>6.2.3.</b>
+ <b>6.3.3.</b>
CW, AROW, SCW
@@ -944,12 +965,12 @@
</li>
- <li class="chapter " data-level="6.2.4" data-path="../binaryclass/news20_adagrad.html">
+ <li class="chapter " data-level="6.3.4" data-path="../binaryclass/news20_adagrad.html">
<a href="../binaryclass/news20_adagrad.html">
- <b>6.2.4.</b>
+ <b>6.3.4.</b>
AdaGradRDA, AdaGrad, AdaDelta
@@ -964,14 +985,14 @@
</li>
- <li class="chapter " data-level="6.3" data-path="../binaryclass/kdd2010a.html">
+ <li class="chapter " data-level="6.4" data-path="../binaryclass/kdd2010a.html">
<a href="../binaryclass/kdd2010a.html">
- <b>6.3.</b>
+ <b>6.4.</b>
- KDD2010a
+ KDD2010a tutorial
</a>
@@ -980,12 +1001,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.3.1" data-path="../binaryclass/kdd2010a_dataset.html">
+ <li class="chapter " data-level="6.4.1" data-path="../binaryclass/kdd2010a_dataset.html">
<a href="../binaryclass/kdd2010a_dataset.html">
- <b>6.3.1.</b>
+ <b>6.4.1.</b>
Data preparation
@@ -995,12 +1016,12 @@
</li>
- <li class="chapter " data-level="6.3.2" data-path="../binaryclass/kdd2010a_scw.html">
+ <li class="chapter " data-level="6.4.2" data-path="../binaryclass/kdd2010a_scw.html">
<a href="../binaryclass/kdd2010a_scw.html">
- <b>6.3.2.</b>
+ <b>6.4.2.</b>
PA, CW, AROW, SCW
@@ -1015,14 +1036,14 @@
</li>
- <li class="chapter " data-level="6.4" data-path="../binaryclass/kdd2010b.html">
+ <li class="chapter " data-level="6.5" data-path="../binaryclass/kdd2010b.html">
<a href="../binaryclass/kdd2010b.html">
- <b>6.4.</b>
+ <b>6.5.</b>
- KDD2010b
+ KDD2010b tutorial
</a>
@@ -1031,12 +1052,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.4.1" data-path="../binaryclass/kdd2010b_dataset.html">
+ <li class="chapter " data-level="6.5.1" data-path="../binaryclass/kdd2010b_dataset.html">
<a href="../binaryclass/kdd2010b_dataset.html">
- <b>6.4.1.</b>
+ <b>6.5.1.</b>
Data preparation
@@ -1046,12 +1067,12 @@
</li>
- <li class="chapter " data-level="6.4.2" data-path="../binaryclass/kdd2010b_arow.html">
+ <li class="chapter " data-level="6.5.2" data-path="../binaryclass/kdd2010b_arow.html">
<a href="../binaryclass/kdd2010b_arow.html">
- <b>6.4.2.</b>
+ <b>6.5.2.</b>
AROW
@@ -1066,14 +1087,14 @@
</li>
- <li class="chapter " data-level="6.5" data-path="../binaryclass/webspam.html">
+ <li class="chapter " data-level="6.6" data-path="../binaryclass/webspam.html">
<a href="../binaryclass/webspam.html">
- <b>6.5.</b>
+ <b>6.6.</b>
- Webspam
+ Webspam tutorial
</a>
@@ -1082,12 +1103,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.5.1" data-path="../binaryclass/webspam_dataset.html">
+ <li class="chapter " data-level="6.6.1" data-path="../binaryclass/webspam_dataset.html">
<a href="../binaryclass/webspam_dataset.html">
- <b>6.5.1.</b>
+ <b>6.6.1.</b>
Data pareparation
@@ -1097,12 +1118,12 @@
</li>
- <li class="chapter " data-level="6.5.2" data-path="../binaryclass/webspam_scw.html">
+ <li class="chapter " data-level="6.6.2" data-path="../binaryclass/webspam_scw.html">
<a href="../binaryclass/webspam_scw.html">
- <b>6.5.2.</b>
+ <b>6.6.2.</b>
PA1, AROW, SCW
@@ -1117,14 +1138,14 @@
</li>
- <li class="chapter " data-level="6.6" data-path="../binaryclass/titanic_rf.html">
+ <li class="chapter " data-level="6.7" data-path="../binaryclass/titanic_rf.html">
<a href="../binaryclass/titanic_rf.html">
- <b>6.6.</b>
+ <b>6.7.</b>
- Kaggle Titanic
+ Kaggle Titanic tutorial
</a>
@@ -1135,7 +1156,7 @@
- <li class="header">Part VII - Multiclass classification tutorials</li>
+ <li class="header">Part VII - Multiclass classification</li>
@@ -1146,7 +1167,7 @@
<b>7.1.</b>
- News20 Multiclass
+ News20 Multiclass tutorial
</a>
@@ -1257,7 +1278,7 @@
<b>7.2.</b>
- Iris
+ Iris tutorial
</a>
@@ -1319,18 +1340,33 @@
- <li class="header">Part VIII - Regression tutorials</li>
+ <li class="header">Part VIII - Regression</li>
- <li class="chapter " data-level="8.1" data-path="../regression/e2006.html">
+ <li class="chapter " data-level="8.1" data-path="../regression/general.html">
- <a href="../regression/e2006.html">
+ <a href="../regression/general.html">
<b>8.1.</b>
- E2006-tfidf regression
+ Regression
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="8.2" data-path="../regression/e2006.html">
+
+ <a href="../regression/e2006.html">
+
+
+ <b>8.2.</b>
+
+ E2006-tfidf regression tutorial
</a>
@@ -1339,12 +1375,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.1.1" data-path="../regression/e2006_dataset.html">
+ <li class="chapter " data-level="8.2.1" data-path="../regression/e2006_dataset.html">
<a href="../regression/e2006_dataset.html">
- <b>8.1.1.</b>
+ <b>8.2.1.</b>
Data preparation
@@ -1354,12 +1390,12 @@
</li>
- <li class="chapter " data-level="8.1.2" data-path="../regression/e2006_arow.html">
+ <li class="chapter " data-level="8.2.2" data-path="../regression/e2006_arow.html">
<a href="../regression/e2006_arow.html">
- <b>8.1.2.</b>
+ <b>8.2.2.</b>
Passive Aggressive, AROW
@@ -1374,14 +1410,14 @@
</li>
- <li class="chapter " data-level="8.2" data-path="../regression/kddcup12tr2.html">
+ <li class="chapter " data-level="8.3" data-path="../regression/kddcup12tr2.html">
<a href="../regression/kddcup12tr2.html">
- <b>8.2.</b>
+ <b>8.3.</b>
- KDDCup 2012 track 2 CTR prediction
+ KDDCup 2012 track 2 CTR prediction tutorial
</a>
@@ -1390,12 +1426,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.2.1" data-path="../regression/kddcup12tr2_dataset.html">
+ <li class="chapter " data-level="8.3.1" data-path="../regression/kddcup12tr2_dataset.html">
<a href="../regression/kddcup12tr2_dataset.html">
- <b>8.2.1.</b>
+ <b>8.3.1.</b>
Data preparation
@@ -1405,12 +1441,12 @@
</li>
- <li class="chapter " data-level="8.2.2" data-path="../regression/kddcup12tr2_lr.html">
+ <li class="chapter " data-level="8.3.2" data-path="../regression/kddcup12tr2_lr.html">
<a href="../regression/kddcup12tr2_lr.html">
- <b>8.2.2.</b>
+ <b>8.3.2.</b>
Logistic Regression, Passive Aggressive
@@ -1420,12 +1456,12 @@
</li>
- <li class="chapter " data-level="8.2.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
+ <li class="chapter " data-level="8.3.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
<a href="../regression/kddcup12tr2_lr_amplify.html">
- <b>8.2.3.</b>
+ <b>8.3.3.</b>
Logistic Regression with Amplifier
@@ -1435,12 +1471,12 @@
</li>
- <li class="chapter " data-level="8.2.4" data-path="../regression/kddcup12tr2_adagrad.html">
+ <li class="chapter " data-level="8.3.4" data-path="../regression/kddcup12tr2_adagrad.html">
<a href="../regression/kddcup12tr2_adagrad.html">
- <b>8.2.4.</b>
+ <b>8.3.4.</b>
AdaGrad, AdaDelta
@@ -2231,7 +2267,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
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http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/ba518dab/userguide/tips/rowid.html
----------------------------------------------------------------------
diff --git a/userguide/tips/rowid.html b/userguide/tips/rowid.html
index 7ceec4f..3200106 100644
--- a/userguide/tips/rowid.html
+++ b/userguide/tips/rowid.html
@@ -598,14 +598,30 @@
</li>
- <li class="chapter " data-level="3.5" data-path="../ft_engineering/tfidf.html">
+ <li class="chapter " data-level="3.5" data-path="../ft_engineering/pairing.html">
- <a href="../ft_engineering/tfidf.html">
+ <a href="../ft_engineering/pairing.html">
<b>3.5.</b>
- TF-IDF Calculation
+ FEATURE PAIRING
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="3.5.1" data-path="../ft_engineering/polynomial.html">
+
+ <a href="../ft_engineering/polynomial.html">
+
+
+ <b>3.5.1.</b>
+
+ Polynomial Features
</a>
@@ -613,6 +629,11 @@
</li>
+
+ </ul>
+
+ </li>
+
<li class="chapter " data-level="3.6" data-path="../ft_engineering/ft_trans.html">
<a href="../ft_engineering/ft_trans.html">
@@ -664,6 +685,21 @@
</li>
+ <li class="chapter " data-level="3.7" data-path="../ft_engineering/tfidf.html">
+
+ <a href="../ft_engineering/tfidf.html">
+
+
+ <b>3.7.</b>
+
+ TF-IDF Calculation
+
+ </a>
+
+
+
+ </li>
+
@@ -761,7 +797,7 @@
- <li class="header">Part V - Prediction</li>
+ <li class="header">Part V - Supervised Learning</li>
@@ -780,27 +816,19 @@
</li>
- <li class="chapter " data-level="5.2" data-path="../regression/general.html">
-
- <a href="../regression/general.html">
-
-
- <b>5.2.</b>
-
- Regression
-
- </a>
-
-
- </li>
- <li class="chapter " data-level="5.3" data-path="../binaryclass/general.html">
+
+ <li class="header">Part VI - Binary classification</li>
+
+
+
+ <li class="chapter " data-level="6.1" data-path="../binaryclass/general.html">
<a href="../binaryclass/general.html">
- <b>5.3.</b>
+ <b>6.1.</b>
Binary Classification
@@ -810,21 +838,14 @@
</li>
-
-
-
- <li class="header">Part VI - Binary classification tutorials</li>
-
-
-
- <li class="chapter " data-level="6.1" data-path="../binaryclass/a9a.html">
+ <li class="chapter " data-level="6.2" data-path="../binaryclass/a9a.html">
<a href="../binaryclass/a9a.html">
- <b>6.1.</b>
+ <b>6.2.</b>
- a9a
+ a9a tutorial
</a>
@@ -833,12 +854,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.1.1" data-path="../binaryclass/a9a_dataset.html">
+ <li class="chapter " data-level="6.2.1" data-path="../binaryclass/a9a_dataset.html">
<a href="../binaryclass/a9a_dataset.html">
- <b>6.1.1.</b>
+ <b>6.2.1.</b>
Data preparation
@@ -848,12 +869,12 @@
</li>
- <li class="chapter " data-level="6.1.2" data-path="../binaryclass/a9a_lr.html">
+ <li class="chapter " data-level="6.2.2" data-path="../binaryclass/a9a_lr.html">
<a href="../binaryclass/a9a_lr.html">
- <b>6.1.2.</b>
+ <b>6.2.2.</b>
Logistic Regression
@@ -863,12 +884,12 @@
</li>
- <li class="chapter " data-level="6.1.3" data-path="../binaryclass/a9a_minibatch.html">
+ <li class="chapter " data-level="6.2.3" data-path="../binaryclass/a9a_minibatch.html">
<a href="../binaryclass/a9a_minibatch.html">
- <b>6.1.3.</b>
+ <b>6.2.3.</b>
Mini-batch Gradient Descent
@@ -883,14 +904,14 @@
</li>
- <li class="chapter " data-level="6.2" data-path="../binaryclass/news20.html">
+ <li class="chapter " data-level="6.3" data-path="../binaryclass/news20.html">
<a href="../binaryclass/news20.html">
- <b>6.2.</b>
+ <b>6.3.</b>
- News20
+ News20 tutorial
</a>
@@ -899,12 +920,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.2.1" data-path="../binaryclass/news20_dataset.html">
+ <li class="chapter " data-level="6.3.1" data-path="../binaryclass/news20_dataset.html">
<a href="../binaryclass/news20_dataset.html">
- <b>6.2.1.</b>
+ <b>6.3.1.</b>
Data preparation
@@ -914,12 +935,12 @@
</li>
- <li class="chapter " data-level="6.2.2" data-path="../binaryclass/news20_pa.html">
+ <li class="chapter " data-level="6.3.2" data-path="../binaryclass/news20_pa.html">
<a href="../binaryclass/news20_pa.html">
- <b>6.2.2.</b>
+ <b>6.3.2.</b>
Perceptron, Passive Aggressive
@@ -929,12 +950,12 @@
</li>
- <li class="chapter " data-level="6.2.3" data-path="../binaryclass/news20_scw.html">
+ <li class="chapter " data-level="6.3.3" data-path="../binaryclass/news20_scw.html">
<a href="../binaryclass/news20_scw.html">
- <b>6.2.3.</b>
+ <b>6.3.3.</b>
CW, AROW, SCW
@@ -944,12 +965,12 @@
</li>
- <li class="chapter " data-level="6.2.4" data-path="../binaryclass/news20_adagrad.html">
+ <li class="chapter " data-level="6.3.4" data-path="../binaryclass/news20_adagrad.html">
<a href="../binaryclass/news20_adagrad.html">
- <b>6.2.4.</b>
+ <b>6.3.4.</b>
AdaGradRDA, AdaGrad, AdaDelta
@@ -964,14 +985,14 @@
</li>
- <li class="chapter " data-level="6.3" data-path="../binaryclass/kdd2010a.html">
+ <li class="chapter " data-level="6.4" data-path="../binaryclass/kdd2010a.html">
<a href="../binaryclass/kdd2010a.html">
- <b>6.3.</b>
+ <b>6.4.</b>
- KDD2010a
+ KDD2010a tutorial
</a>
@@ -980,12 +1001,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.3.1" data-path="../binaryclass/kdd2010a_dataset.html">
+ <li class="chapter " data-level="6.4.1" data-path="../binaryclass/kdd2010a_dataset.html">
<a href="../binaryclass/kdd2010a_dataset.html">
- <b>6.3.1.</b>
+ <b>6.4.1.</b>
Data preparation
@@ -995,12 +1016,12 @@
</li>
- <li class="chapter " data-level="6.3.2" data-path="../binaryclass/kdd2010a_scw.html">
+ <li class="chapter " data-level="6.4.2" data-path="../binaryclass/kdd2010a_scw.html">
<a href="../binaryclass/kdd2010a_scw.html">
- <b>6.3.2.</b>
+ <b>6.4.2.</b>
PA, CW, AROW, SCW
@@ -1015,14 +1036,14 @@
</li>
- <li class="chapter " data-level="6.4" data-path="../binaryclass/kdd2010b.html">
+ <li class="chapter " data-level="6.5" data-path="../binaryclass/kdd2010b.html">
<a href="../binaryclass/kdd2010b.html">
- <b>6.4.</b>
+ <b>6.5.</b>
- KDD2010b
+ KDD2010b tutorial
</a>
@@ -1031,12 +1052,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.4.1" data-path="../binaryclass/kdd2010b_dataset.html">
+ <li class="chapter " data-level="6.5.1" data-path="../binaryclass/kdd2010b_dataset.html">
<a href="../binaryclass/kdd2010b_dataset.html">
- <b>6.4.1.</b>
+ <b>6.5.1.</b>
Data preparation
@@ -1046,12 +1067,12 @@
</li>
- <li class="chapter " data-level="6.4.2" data-path="../binaryclass/kdd2010b_arow.html">
+ <li class="chapter " data-level="6.5.2" data-path="../binaryclass/kdd2010b_arow.html">
<a href="../binaryclass/kdd2010b_arow.html">
- <b>6.4.2.</b>
+ <b>6.5.2.</b>
AROW
@@ -1066,14 +1087,14 @@
</li>
- <li class="chapter " data-level="6.5" data-path="../binaryclass/webspam.html">
+ <li class="chapter " data-level="6.6" data-path="../binaryclass/webspam.html">
<a href="../binaryclass/webspam.html">
- <b>6.5.</b>
+ <b>6.6.</b>
- Webspam
+ Webspam tutorial
</a>
@@ -1082,12 +1103,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.5.1" data-path="../binaryclass/webspam_dataset.html">
+ <li class="chapter " data-level="6.6.1" data-path="../binaryclass/webspam_dataset.html">
<a href="../binaryclass/webspam_dataset.html">
- <b>6.5.1.</b>
+ <b>6.6.1.</b>
Data pareparation
@@ -1097,12 +1118,12 @@
</li>
- <li class="chapter " data-level="6.5.2" data-path="../binaryclass/webspam_scw.html">
+ <li class="chapter " data-level="6.6.2" data-path="../binaryclass/webspam_scw.html">
<a href="../binaryclass/webspam_scw.html">
- <b>6.5.2.</b>
+ <b>6.6.2.</b>
PA1, AROW, SCW
@@ -1117,14 +1138,14 @@
</li>
- <li class="chapter " data-level="6.6" data-path="../binaryclass/titanic_rf.html">
+ <li class="chapter " data-level="6.7" data-path="../binaryclass/titanic_rf.html">
<a href="../binaryclass/titanic_rf.html">
- <b>6.6.</b>
+ <b>6.7.</b>
- Kaggle Titanic
+ Kaggle Titanic tutorial
</a>
@@ -1135,7 +1156,7 @@
- <li class="header">Part VII - Multiclass classification tutorials</li>
+ <li class="header">Part VII - Multiclass classification</li>
@@ -1146,7 +1167,7 @@
<b>7.1.</b>
- News20 Multiclass
+ News20 Multiclass tutorial
</a>
@@ -1257,7 +1278,7 @@
<b>7.2.</b>
- Iris
+ Iris tutorial
</a>
@@ -1319,18 +1340,33 @@
- <li class="header">Part VIII - Regression tutorials</li>
+ <li class="header">Part VIII - Regression</li>
- <li class="chapter " data-level="8.1" data-path="../regression/e2006.html">
+ <li class="chapter " data-level="8.1" data-path="../regression/general.html">
- <a href="../regression/e2006.html">
+ <a href="../regression/general.html">
<b>8.1.</b>
- E2006-tfidf regression
+ Regression
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="8.2" data-path="../regression/e2006.html">
+
+ <a href="../regression/e2006.html">
+
+
+ <b>8.2.</b>
+
+ E2006-tfidf regression tutorial
</a>
@@ -1339,12 +1375,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.1.1" data-path="../regression/e2006_dataset.html">
+ <li class="chapter " data-level="8.2.1" data-path="../regression/e2006_dataset.html">
<a href="../regression/e2006_dataset.html">
- <b>8.1.1.</b>
+ <b>8.2.1.</b>
Data preparation
@@ -1354,12 +1390,12 @@
</li>
- <li class="chapter " data-level="8.1.2" data-path="../regression/e2006_arow.html">
+ <li class="chapter " data-level="8.2.2" data-path="../regression/e2006_arow.html">
<a href="../regression/e2006_arow.html">
- <b>8.1.2.</b>
+ <b>8.2.2.</b>
Passive Aggressive, AROW
@@ -1374,14 +1410,14 @@
</li>
- <li class="chapter " data-level="8.2" data-path="../regression/kddcup12tr2.html">
+ <li class="chapter " data-level="8.3" data-path="../regression/kddcup12tr2.html">
<a href="../regression/kddcup12tr2.html">
- <b>8.2.</b>
+ <b>8.3.</b>
- KDDCup 2012 track 2 CTR prediction
+ KDDCup 2012 track 2 CTR prediction tutorial
</a>
@@ -1390,12 +1426,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.2.1" data-path="../regression/kddcup12tr2_dataset.html">
+ <li class="chapter " data-level="8.3.1" data-path="../regression/kddcup12tr2_dataset.html">
<a href="../regression/kddcup12tr2_dataset.html">
- <b>8.2.1.</b>
+ <b>8.3.1.</b>
Data preparation
@@ -1405,12 +1441,12 @@
</li>
- <li class="chapter " data-level="8.2.2" data-path="../regression/kddcup12tr2_lr.html">
+ <li class="chapter " data-level="8.3.2" data-path="../regression/kddcup12tr2_lr.html">
<a href="../regression/kddcup12tr2_lr.html">
- <b>8.2.2.</b>
+ <b>8.3.2.</b>
Logistic Regression, Passive Aggressive
@@ -1420,12 +1456,12 @@
</li>
- <li class="chapter " data-level="8.2.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
+ <li class="chapter " data-level="8.3.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
<a href="../regression/kddcup12tr2_lr_amplify.html">
- <b>8.2.3.</b>
+ <b>8.3.3.</b>
Logistic Regression with Amplifier
@@ -1435,12 +1471,12 @@
</li>
- <li class="chapter " data-level="8.2.4" data-path="../regression/kddcup12tr2_adagrad.html">
+ <li class="chapter " data-level="8.3.4" data-path="../regression/kddcup12tr2_adagrad.html">
<a href="../regression/kddcup12tr2_adagrad.html">
- <b>8.2.4.</b>
+ <b>8.3.4.</b>
AdaGrad, AdaDelta
@@ -2170,7 +2206,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
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http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/ba518dab/userguide/tips/rt_prediction.html
----------------------------------------------------------------------
diff --git a/userguide/tips/rt_prediction.html b/userguide/tips/rt_prediction.html
index 0586ab6..3fd4024 100644
--- a/userguide/tips/rt_prediction.html
+++ b/userguide/tips/rt_prediction.html
@@ -598,14 +598,30 @@
</li>
- <li class="chapter " data-level="3.5" data-path="../ft_engineering/tfidf.html">
+ <li class="chapter " data-level="3.5" data-path="../ft_engineering/pairing.html">
- <a href="../ft_engineering/tfidf.html">
+ <a href="../ft_engineering/pairing.html">
<b>3.5.</b>
- TF-IDF Calculation
+ FEATURE PAIRING
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="3.5.1" data-path="../ft_engineering/polynomial.html">
+
+ <a href="../ft_engineering/polynomial.html">
+
+
+ <b>3.5.1.</b>
+
+ Polynomial Features
</a>
@@ -613,6 +629,11 @@
</li>
+
+ </ul>
+
+ </li>
+
<li class="chapter " data-level="3.6" data-path="../ft_engineering/ft_trans.html">
<a href="../ft_engineering/ft_trans.html">
@@ -664,6 +685,21 @@
</li>
+ <li class="chapter " data-level="3.7" data-path="../ft_engineering/tfidf.html">
+
+ <a href="../ft_engineering/tfidf.html">
+
+
+ <b>3.7.</b>
+
+ TF-IDF Calculation
+
+ </a>
+
+
+
+ </li>
+
@@ -761,7 +797,7 @@
- <li class="header">Part V - Prediction</li>
+ <li class="header">Part V - Supervised Learning</li>
@@ -780,27 +816,19 @@
</li>
- <li class="chapter " data-level="5.2" data-path="../regression/general.html">
-
- <a href="../regression/general.html">
-
-
- <b>5.2.</b>
-
- Regression
-
- </a>
-
-
- </li>
- <li class="chapter " data-level="5.3" data-path="../binaryclass/general.html">
+
+ <li class="header">Part VI - Binary classification</li>
+
+
+
+ <li class="chapter " data-level="6.1" data-path="../binaryclass/general.html">
<a href="../binaryclass/general.html">
- <b>5.3.</b>
+ <b>6.1.</b>
Binary Classification
@@ -810,21 +838,14 @@
</li>
-
-
-
- <li class="header">Part VI - Binary classification tutorials</li>
-
-
-
- <li class="chapter " data-level="6.1" data-path="../binaryclass/a9a.html">
+ <li class="chapter " data-level="6.2" data-path="../binaryclass/a9a.html">
<a href="../binaryclass/a9a.html">
- <b>6.1.</b>
+ <b>6.2.</b>
- a9a
+ a9a tutorial
</a>
@@ -833,12 +854,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.1.1" data-path="../binaryclass/a9a_dataset.html">
+ <li class="chapter " data-level="6.2.1" data-path="../binaryclass/a9a_dataset.html">
<a href="../binaryclass/a9a_dataset.html">
- <b>6.1.1.</b>
+ <b>6.2.1.</b>
Data preparation
@@ -848,12 +869,12 @@
</li>
- <li class="chapter " data-level="6.1.2" data-path="../binaryclass/a9a_lr.html">
+ <li class="chapter " data-level="6.2.2" data-path="../binaryclass/a9a_lr.html">
<a href="../binaryclass/a9a_lr.html">
- <b>6.1.2.</b>
+ <b>6.2.2.</b>
Logistic Regression
@@ -863,12 +884,12 @@
</li>
- <li class="chapter " data-level="6.1.3" data-path="../binaryclass/a9a_minibatch.html">
+ <li class="chapter " data-level="6.2.3" data-path="../binaryclass/a9a_minibatch.html">
<a href="../binaryclass/a9a_minibatch.html">
- <b>6.1.3.</b>
+ <b>6.2.3.</b>
Mini-batch Gradient Descent
@@ -883,14 +904,14 @@
</li>
- <li class="chapter " data-level="6.2" data-path="../binaryclass/news20.html">
+ <li class="chapter " data-level="6.3" data-path="../binaryclass/news20.html">
<a href="../binaryclass/news20.html">
- <b>6.2.</b>
+ <b>6.3.</b>
- News20
+ News20 tutorial
</a>
@@ -899,12 +920,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.2.1" data-path="../binaryclass/news20_dataset.html">
+ <li class="chapter " data-level="6.3.1" data-path="../binaryclass/news20_dataset.html">
<a href="../binaryclass/news20_dataset.html">
- <b>6.2.1.</b>
+ <b>6.3.1.</b>
Data preparation
@@ -914,12 +935,12 @@
</li>
- <li class="chapter " data-level="6.2.2" data-path="../binaryclass/news20_pa.html">
+ <li class="chapter " data-level="6.3.2" data-path="../binaryclass/news20_pa.html">
<a href="../binaryclass/news20_pa.html">
- <b>6.2.2.</b>
+ <b>6.3.2.</b>
Perceptron, Passive Aggressive
@@ -929,12 +950,12 @@
</li>
- <li class="chapter " data-level="6.2.3" data-path="../binaryclass/news20_scw.html">
+ <li class="chapter " data-level="6.3.3" data-path="../binaryclass/news20_scw.html">
<a href="../binaryclass/news20_scw.html">
- <b>6.2.3.</b>
+ <b>6.3.3.</b>
CW, AROW, SCW
@@ -944,12 +965,12 @@
</li>
- <li class="chapter " data-level="6.2.4" data-path="../binaryclass/news20_adagrad.html">
+ <li class="chapter " data-level="6.3.4" data-path="../binaryclass/news20_adagrad.html">
<a href="../binaryclass/news20_adagrad.html">
- <b>6.2.4.</b>
+ <b>6.3.4.</b>
AdaGradRDA, AdaGrad, AdaDelta
@@ -964,14 +985,14 @@
</li>
- <li class="chapter " data-level="6.3" data-path="../binaryclass/kdd2010a.html">
+ <li class="chapter " data-level="6.4" data-path="../binaryclass/kdd2010a.html">
<a href="../binaryclass/kdd2010a.html">
- <b>6.3.</b>
+ <b>6.4.</b>
- KDD2010a
+ KDD2010a tutorial
</a>
@@ -980,12 +1001,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.3.1" data-path="../binaryclass/kdd2010a_dataset.html">
+ <li class="chapter " data-level="6.4.1" data-path="../binaryclass/kdd2010a_dataset.html">
<a href="../binaryclass/kdd2010a_dataset.html">
- <b>6.3.1.</b>
+ <b>6.4.1.</b>
Data preparation
@@ -995,12 +1016,12 @@
</li>
- <li class="chapter " data-level="6.3.2" data-path="../binaryclass/kdd2010a_scw.html">
+ <li class="chapter " data-level="6.4.2" data-path="../binaryclass/kdd2010a_scw.html">
<a href="../binaryclass/kdd2010a_scw.html">
- <b>6.3.2.</b>
+ <b>6.4.2.</b>
PA, CW, AROW, SCW
@@ -1015,14 +1036,14 @@
</li>
- <li class="chapter " data-level="6.4" data-path="../binaryclass/kdd2010b.html">
+ <li class="chapter " data-level="6.5" data-path="../binaryclass/kdd2010b.html">
<a href="../binaryclass/kdd2010b.html">
- <b>6.4.</b>
+ <b>6.5.</b>
- KDD2010b
+ KDD2010b tutorial
</a>
@@ -1031,12 +1052,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.4.1" data-path="../binaryclass/kdd2010b_dataset.html">
+ <li class="chapter " data-level="6.5.1" data-path="../binaryclass/kdd2010b_dataset.html">
<a href="../binaryclass/kdd2010b_dataset.html">
- <b>6.4.1.</b>
+ <b>6.5.1.</b>
Data preparation
@@ -1046,12 +1067,12 @@
</li>
- <li class="chapter " data-level="6.4.2" data-path="../binaryclass/kdd2010b_arow.html">
+ <li class="chapter " data-level="6.5.2" data-path="../binaryclass/kdd2010b_arow.html">
<a href="../binaryclass/kdd2010b_arow.html">
- <b>6.4.2.</b>
+ <b>6.5.2.</b>
AROW
@@ -1066,14 +1087,14 @@
</li>
- <li class="chapter " data-level="6.5" data-path="../binaryclass/webspam.html">
+ <li class="chapter " data-level="6.6" data-path="../binaryclass/webspam.html">
<a href="../binaryclass/webspam.html">
- <b>6.5.</b>
+ <b>6.6.</b>
- Webspam
+ Webspam tutorial
</a>
@@ -1082,12 +1103,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.5.1" data-path="../binaryclass/webspam_dataset.html">
+ <li class="chapter " data-level="6.6.1" data-path="../binaryclass/webspam_dataset.html">
<a href="../binaryclass/webspam_dataset.html">
- <b>6.5.1.</b>
+ <b>6.6.1.</b>
Data pareparation
@@ -1097,12 +1118,12 @@
</li>
- <li class="chapter " data-level="6.5.2" data-path="../binaryclass/webspam_scw.html">
+ <li class="chapter " data-level="6.6.2" data-path="../binaryclass/webspam_scw.html">
<a href="../binaryclass/webspam_scw.html">
- <b>6.5.2.</b>
+ <b>6.6.2.</b>
PA1, AROW, SCW
@@ -1117,14 +1138,14 @@
</li>
- <li class="chapter " data-level="6.6" data-path="../binaryclass/titanic_rf.html">
+ <li class="chapter " data-level="6.7" data-path="../binaryclass/titanic_rf.html">
<a href="../binaryclass/titanic_rf.html">
- <b>6.6.</b>
+ <b>6.7.</b>
- Kaggle Titanic
+ Kaggle Titanic tutorial
</a>
@@ -1135,7 +1156,7 @@
- <li class="header">Part VII - Multiclass classification tutorials</li>
+ <li class="header">Part VII - Multiclass classification</li>
@@ -1146,7 +1167,7 @@
<b>7.1.</b>
- News20 Multiclass
+ News20 Multiclass tutorial
</a>
@@ -1257,7 +1278,7 @@
<b>7.2.</b>
- Iris
+ Iris tutorial
</a>
@@ -1319,18 +1340,33 @@
- <li class="header">Part VIII - Regression tutorials</li>
+ <li class="header">Part VIII - Regression</li>
- <li class="chapter " data-level="8.1" data-path="../regression/e2006.html">
+ <li class="chapter " data-level="8.1" data-path="../regression/general.html">
- <a href="../regression/e2006.html">
+ <a href="../regression/general.html">
<b>8.1.</b>
- E2006-tfidf regression
+ Regression
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="8.2" data-path="../regression/e2006.html">
+
+ <a href="../regression/e2006.html">
+
+
+ <b>8.2.</b>
+
+ E2006-tfidf regression tutorial
</a>
@@ -1339,12 +1375,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.1.1" data-path="../regression/e2006_dataset.html">
+ <li class="chapter " data-level="8.2.1" data-path="../regression/e2006_dataset.html">
<a href="../regression/e2006_dataset.html">
- <b>8.1.1.</b>
+ <b>8.2.1.</b>
Data preparation
@@ -1354,12 +1390,12 @@
</li>
- <li class="chapter " data-level="8.1.2" data-path="../regression/e2006_arow.html">
+ <li class="chapter " data-level="8.2.2" data-path="../regression/e2006_arow.html">
<a href="../regression/e2006_arow.html">
- <b>8.1.2.</b>
+ <b>8.2.2.</b>
Passive Aggressive, AROW
@@ -1374,14 +1410,14 @@
</li>
- <li class="chapter " data-level="8.2" data-path="../regression/kddcup12tr2.html">
+ <li class="chapter " data-level="8.3" data-path="../regression/kddcup12tr2.html">
<a href="../regression/kddcup12tr2.html">
- <b>8.2.</b>
+ <b>8.3.</b>
- KDDCup 2012 track 2 CTR prediction
+ KDDCup 2012 track 2 CTR prediction tutorial
</a>
@@ -1390,12 +1426,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.2.1" data-path="../regression/kddcup12tr2_dataset.html">
+ <li class="chapter " data-level="8.3.1" data-path="../regression/kddcup12tr2_dataset.html">
<a href="../regression/kddcup12tr2_dataset.html">
- <b>8.2.1.</b>
+ <b>8.3.1.</b>
Data preparation
@@ -1405,12 +1441,12 @@
</li>
- <li class="chapter " data-level="8.2.2" data-path="../regression/kddcup12tr2_lr.html">
+ <li class="chapter " data-level="8.3.2" data-path="../regression/kddcup12tr2_lr.html">
<a href="../regression/kddcup12tr2_lr.html">
- <b>8.2.2.</b>
+ <b>8.3.2.</b>
Logistic Regression, Passive Aggressive
@@ -1420,12 +1456,12 @@
</li>
- <li class="chapter " data-level="8.2.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
+ <li class="chapter " data-level="8.3.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
<a href="../regression/kddcup12tr2_lr_amplify.html">
- <b>8.2.3.</b>
+ <b>8.3.3.</b>
Logistic Regression with Amplifier
@@ -1435,12 +1471,12 @@
</li>
- <li class="chapter " data-level="8.2.4" data-path="../regression/kddcup12tr2_adagrad.html">
+ <li class="chapter " data-level="8.3.4" data-path="../regression/kddcup12tr2_adagrad.html">
<a href="../regression/kddcup12tr2_adagrad.html">
- <b>8.2.4.</b>
+ <b>8.3.4.</b>
AdaGrad, AdaDelta
@@ -2318,7 +2354,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
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[19/41] incubator-hivemall-site git commit: Added descriptions about
Feature Pairing in the user guide
Posted by my...@apache.org.
http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/ba518dab/userguide/multiclass/news20_dataset.html
----------------------------------------------------------------------
diff --git a/userguide/multiclass/news20_dataset.html b/userguide/multiclass/news20_dataset.html
index 5bc0871..8f38027 100644
--- a/userguide/multiclass/news20_dataset.html
+++ b/userguide/multiclass/news20_dataset.html
@@ -598,14 +598,30 @@
</li>
- <li class="chapter " data-level="3.5" data-path="../ft_engineering/tfidf.html">
+ <li class="chapter " data-level="3.5" data-path="../ft_engineering/pairing.html">
- <a href="../ft_engineering/tfidf.html">
+ <a href="../ft_engineering/pairing.html">
<b>3.5.</b>
- TF-IDF Calculation
+ FEATURE PAIRING
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="3.5.1" data-path="../ft_engineering/polynomial.html">
+
+ <a href="../ft_engineering/polynomial.html">
+
+
+ <b>3.5.1.</b>
+
+ Polynomial Features
</a>
@@ -613,6 +629,11 @@
</li>
+
+ </ul>
+
+ </li>
+
<li class="chapter " data-level="3.6" data-path="../ft_engineering/ft_trans.html">
<a href="../ft_engineering/ft_trans.html">
@@ -664,6 +685,21 @@
</li>
+ <li class="chapter " data-level="3.7" data-path="../ft_engineering/tfidf.html">
+
+ <a href="../ft_engineering/tfidf.html">
+
+
+ <b>3.7.</b>
+
+ TF-IDF Calculation
+
+ </a>
+
+
+
+ </li>
+
@@ -761,7 +797,7 @@
- <li class="header">Part V - Prediction</li>
+ <li class="header">Part V - Supervised Learning</li>
@@ -780,27 +816,19 @@
</li>
- <li class="chapter " data-level="5.2" data-path="../regression/general.html">
-
- <a href="../regression/general.html">
-
-
- <b>5.2.</b>
-
- Regression
-
- </a>
-
-
- </li>
- <li class="chapter " data-level="5.3" data-path="../binaryclass/general.html">
+
+ <li class="header">Part VI - Binary classification</li>
+
+
+
+ <li class="chapter " data-level="6.1" data-path="../binaryclass/general.html">
<a href="../binaryclass/general.html">
- <b>5.3.</b>
+ <b>6.1.</b>
Binary Classification
@@ -810,21 +838,14 @@
</li>
-
-
-
- <li class="header">Part VI - Binary classification tutorials</li>
-
-
-
- <li class="chapter " data-level="6.1" data-path="../binaryclass/a9a.html">
+ <li class="chapter " data-level="6.2" data-path="../binaryclass/a9a.html">
<a href="../binaryclass/a9a.html">
- <b>6.1.</b>
+ <b>6.2.</b>
- a9a
+ a9a tutorial
</a>
@@ -833,12 +854,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.1.1" data-path="../binaryclass/a9a_dataset.html">
+ <li class="chapter " data-level="6.2.1" data-path="../binaryclass/a9a_dataset.html">
<a href="../binaryclass/a9a_dataset.html">
- <b>6.1.1.</b>
+ <b>6.2.1.</b>
Data preparation
@@ -848,12 +869,12 @@
</li>
- <li class="chapter " data-level="6.1.2" data-path="../binaryclass/a9a_lr.html">
+ <li class="chapter " data-level="6.2.2" data-path="../binaryclass/a9a_lr.html">
<a href="../binaryclass/a9a_lr.html">
- <b>6.1.2.</b>
+ <b>6.2.2.</b>
Logistic Regression
@@ -863,12 +884,12 @@
</li>
- <li class="chapter " data-level="6.1.3" data-path="../binaryclass/a9a_minibatch.html">
+ <li class="chapter " data-level="6.2.3" data-path="../binaryclass/a9a_minibatch.html">
<a href="../binaryclass/a9a_minibatch.html">
- <b>6.1.3.</b>
+ <b>6.2.3.</b>
Mini-batch Gradient Descent
@@ -883,14 +904,14 @@
</li>
- <li class="chapter " data-level="6.2" data-path="../binaryclass/news20.html">
+ <li class="chapter " data-level="6.3" data-path="../binaryclass/news20.html">
<a href="../binaryclass/news20.html">
- <b>6.2.</b>
+ <b>6.3.</b>
- News20
+ News20 tutorial
</a>
@@ -899,12 +920,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.2.1" data-path="../binaryclass/news20_dataset.html">
+ <li class="chapter " data-level="6.3.1" data-path="../binaryclass/news20_dataset.html">
<a href="../binaryclass/news20_dataset.html">
- <b>6.2.1.</b>
+ <b>6.3.1.</b>
Data preparation
@@ -914,12 +935,12 @@
</li>
- <li class="chapter " data-level="6.2.2" data-path="../binaryclass/news20_pa.html">
+ <li class="chapter " data-level="6.3.2" data-path="../binaryclass/news20_pa.html">
<a href="../binaryclass/news20_pa.html">
- <b>6.2.2.</b>
+ <b>6.3.2.</b>
Perceptron, Passive Aggressive
@@ -929,12 +950,12 @@
</li>
- <li class="chapter " data-level="6.2.3" data-path="../binaryclass/news20_scw.html">
+ <li class="chapter " data-level="6.3.3" data-path="../binaryclass/news20_scw.html">
<a href="../binaryclass/news20_scw.html">
- <b>6.2.3.</b>
+ <b>6.3.3.</b>
CW, AROW, SCW
@@ -944,12 +965,12 @@
</li>
- <li class="chapter " data-level="6.2.4" data-path="../binaryclass/news20_adagrad.html">
+ <li class="chapter " data-level="6.3.4" data-path="../binaryclass/news20_adagrad.html">
<a href="../binaryclass/news20_adagrad.html">
- <b>6.2.4.</b>
+ <b>6.3.4.</b>
AdaGradRDA, AdaGrad, AdaDelta
@@ -964,14 +985,14 @@
</li>
- <li class="chapter " data-level="6.3" data-path="../binaryclass/kdd2010a.html">
+ <li class="chapter " data-level="6.4" data-path="../binaryclass/kdd2010a.html">
<a href="../binaryclass/kdd2010a.html">
- <b>6.3.</b>
+ <b>6.4.</b>
- KDD2010a
+ KDD2010a tutorial
</a>
@@ -980,12 +1001,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.3.1" data-path="../binaryclass/kdd2010a_dataset.html">
+ <li class="chapter " data-level="6.4.1" data-path="../binaryclass/kdd2010a_dataset.html">
<a href="../binaryclass/kdd2010a_dataset.html">
- <b>6.3.1.</b>
+ <b>6.4.1.</b>
Data preparation
@@ -995,12 +1016,12 @@
</li>
- <li class="chapter " data-level="6.3.2" data-path="../binaryclass/kdd2010a_scw.html">
+ <li class="chapter " data-level="6.4.2" data-path="../binaryclass/kdd2010a_scw.html">
<a href="../binaryclass/kdd2010a_scw.html">
- <b>6.3.2.</b>
+ <b>6.4.2.</b>
PA, CW, AROW, SCW
@@ -1015,14 +1036,14 @@
</li>
- <li class="chapter " data-level="6.4" data-path="../binaryclass/kdd2010b.html">
+ <li class="chapter " data-level="6.5" data-path="../binaryclass/kdd2010b.html">
<a href="../binaryclass/kdd2010b.html">
- <b>6.4.</b>
+ <b>6.5.</b>
- KDD2010b
+ KDD2010b tutorial
</a>
@@ -1031,12 +1052,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.4.1" data-path="../binaryclass/kdd2010b_dataset.html">
+ <li class="chapter " data-level="6.5.1" data-path="../binaryclass/kdd2010b_dataset.html">
<a href="../binaryclass/kdd2010b_dataset.html">
- <b>6.4.1.</b>
+ <b>6.5.1.</b>
Data preparation
@@ -1046,12 +1067,12 @@
</li>
- <li class="chapter " data-level="6.4.2" data-path="../binaryclass/kdd2010b_arow.html">
+ <li class="chapter " data-level="6.5.2" data-path="../binaryclass/kdd2010b_arow.html">
<a href="../binaryclass/kdd2010b_arow.html">
- <b>6.4.2.</b>
+ <b>6.5.2.</b>
AROW
@@ -1066,14 +1087,14 @@
</li>
- <li class="chapter " data-level="6.5" data-path="../binaryclass/webspam.html">
+ <li class="chapter " data-level="6.6" data-path="../binaryclass/webspam.html">
<a href="../binaryclass/webspam.html">
- <b>6.5.</b>
+ <b>6.6.</b>
- Webspam
+ Webspam tutorial
</a>
@@ -1082,12 +1103,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.5.1" data-path="../binaryclass/webspam_dataset.html">
+ <li class="chapter " data-level="6.6.1" data-path="../binaryclass/webspam_dataset.html">
<a href="../binaryclass/webspam_dataset.html">
- <b>6.5.1.</b>
+ <b>6.6.1.</b>
Data pareparation
@@ -1097,12 +1118,12 @@
</li>
- <li class="chapter " data-level="6.5.2" data-path="../binaryclass/webspam_scw.html">
+ <li class="chapter " data-level="6.6.2" data-path="../binaryclass/webspam_scw.html">
<a href="../binaryclass/webspam_scw.html">
- <b>6.5.2.</b>
+ <b>6.6.2.</b>
PA1, AROW, SCW
@@ -1117,14 +1138,14 @@
</li>
- <li class="chapter " data-level="6.6" data-path="../binaryclass/titanic_rf.html">
+ <li class="chapter " data-level="6.7" data-path="../binaryclass/titanic_rf.html">
<a href="../binaryclass/titanic_rf.html">
- <b>6.6.</b>
+ <b>6.7.</b>
- Kaggle Titanic
+ Kaggle Titanic tutorial
</a>
@@ -1135,7 +1156,7 @@
- <li class="header">Part VII - Multiclass classification tutorials</li>
+ <li class="header">Part VII - Multiclass classification</li>
@@ -1146,7 +1167,7 @@
<b>7.1.</b>
- News20 Multiclass
+ News20 Multiclass tutorial
</a>
@@ -1257,7 +1278,7 @@
<b>7.2.</b>
- Iris
+ Iris tutorial
</a>
@@ -1319,18 +1340,33 @@
- <li class="header">Part VIII - Regression tutorials</li>
+ <li class="header">Part VIII - Regression</li>
- <li class="chapter " data-level="8.1" data-path="../regression/e2006.html">
+ <li class="chapter " data-level="8.1" data-path="../regression/general.html">
- <a href="../regression/e2006.html">
+ <a href="../regression/general.html">
<b>8.1.</b>
- E2006-tfidf regression
+ Regression
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="8.2" data-path="../regression/e2006.html">
+
+ <a href="../regression/e2006.html">
+
+
+ <b>8.2.</b>
+
+ E2006-tfidf regression tutorial
</a>
@@ -1339,12 +1375,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.1.1" data-path="../regression/e2006_dataset.html">
+ <li class="chapter " data-level="8.2.1" data-path="../regression/e2006_dataset.html">
<a href="../regression/e2006_dataset.html">
- <b>8.1.1.</b>
+ <b>8.2.1.</b>
Data preparation
@@ -1354,12 +1390,12 @@
</li>
- <li class="chapter " data-level="8.1.2" data-path="../regression/e2006_arow.html">
+ <li class="chapter " data-level="8.2.2" data-path="../regression/e2006_arow.html">
<a href="../regression/e2006_arow.html">
- <b>8.1.2.</b>
+ <b>8.2.2.</b>
Passive Aggressive, AROW
@@ -1374,14 +1410,14 @@
</li>
- <li class="chapter " data-level="8.2" data-path="../regression/kddcup12tr2.html">
+ <li class="chapter " data-level="8.3" data-path="../regression/kddcup12tr2.html">
<a href="../regression/kddcup12tr2.html">
- <b>8.2.</b>
+ <b>8.3.</b>
- KDDCup 2012 track 2 CTR prediction
+ KDDCup 2012 track 2 CTR prediction tutorial
</a>
@@ -1390,12 +1426,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.2.1" data-path="../regression/kddcup12tr2_dataset.html">
+ <li class="chapter " data-level="8.3.1" data-path="../regression/kddcup12tr2_dataset.html">
<a href="../regression/kddcup12tr2_dataset.html">
- <b>8.2.1.</b>
+ <b>8.3.1.</b>
Data preparation
@@ -1405,12 +1441,12 @@
</li>
- <li class="chapter " data-level="8.2.2" data-path="../regression/kddcup12tr2_lr.html">
+ <li class="chapter " data-level="8.3.2" data-path="../regression/kddcup12tr2_lr.html">
<a href="../regression/kddcup12tr2_lr.html">
- <b>8.2.2.</b>
+ <b>8.3.2.</b>
Logistic Regression, Passive Aggressive
@@ -1420,12 +1456,12 @@
</li>
- <li class="chapter " data-level="8.2.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
+ <li class="chapter " data-level="8.3.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
<a href="../regression/kddcup12tr2_lr_amplify.html">
- <b>8.2.3.</b>
+ <b>8.3.3.</b>
Logistic Regression with Amplifier
@@ -1435,12 +1471,12 @@
</li>
- <li class="chapter " data-level="8.2.4" data-path="../regression/kddcup12tr2_adagrad.html">
+ <li class="chapter " data-level="8.3.4" data-path="../regression/kddcup12tr2_adagrad.html">
<a href="../regression/kddcup12tr2_adagrad.html">
- <b>8.2.4.</b>
+ <b>8.3.4.</b>
AdaGrad, AdaDelta
@@ -2200,7 +2236,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
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http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/ba518dab/userguide/multiclass/news20_ensemble.html
----------------------------------------------------------------------
diff --git a/userguide/multiclass/news20_ensemble.html b/userguide/multiclass/news20_ensemble.html
index 208f1d6..0330c86 100644
--- a/userguide/multiclass/news20_ensemble.html
+++ b/userguide/multiclass/news20_ensemble.html
@@ -598,14 +598,30 @@
</li>
- <li class="chapter " data-level="3.5" data-path="../ft_engineering/tfidf.html">
+ <li class="chapter " data-level="3.5" data-path="../ft_engineering/pairing.html">
- <a href="../ft_engineering/tfidf.html">
+ <a href="../ft_engineering/pairing.html">
<b>3.5.</b>
- TF-IDF Calculation
+ FEATURE PAIRING
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="3.5.1" data-path="../ft_engineering/polynomial.html">
+
+ <a href="../ft_engineering/polynomial.html">
+
+
+ <b>3.5.1.</b>
+
+ Polynomial Features
</a>
@@ -613,6 +629,11 @@
</li>
+
+ </ul>
+
+ </li>
+
<li class="chapter " data-level="3.6" data-path="../ft_engineering/ft_trans.html">
<a href="../ft_engineering/ft_trans.html">
@@ -664,6 +685,21 @@
</li>
+ <li class="chapter " data-level="3.7" data-path="../ft_engineering/tfidf.html">
+
+ <a href="../ft_engineering/tfidf.html">
+
+
+ <b>3.7.</b>
+
+ TF-IDF Calculation
+
+ </a>
+
+
+
+ </li>
+
@@ -761,7 +797,7 @@
- <li class="header">Part V - Prediction</li>
+ <li class="header">Part V - Supervised Learning</li>
@@ -780,27 +816,19 @@
</li>
- <li class="chapter " data-level="5.2" data-path="../regression/general.html">
-
- <a href="../regression/general.html">
-
-
- <b>5.2.</b>
-
- Regression
-
- </a>
-
-
- </li>
- <li class="chapter " data-level="5.3" data-path="../binaryclass/general.html">
+
+ <li class="header">Part VI - Binary classification</li>
+
+
+
+ <li class="chapter " data-level="6.1" data-path="../binaryclass/general.html">
<a href="../binaryclass/general.html">
- <b>5.3.</b>
+ <b>6.1.</b>
Binary Classification
@@ -810,21 +838,14 @@
</li>
-
-
-
- <li class="header">Part VI - Binary classification tutorials</li>
-
-
-
- <li class="chapter " data-level="6.1" data-path="../binaryclass/a9a.html">
+ <li class="chapter " data-level="6.2" data-path="../binaryclass/a9a.html">
<a href="../binaryclass/a9a.html">
- <b>6.1.</b>
+ <b>6.2.</b>
- a9a
+ a9a tutorial
</a>
@@ -833,12 +854,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.1.1" data-path="../binaryclass/a9a_dataset.html">
+ <li class="chapter " data-level="6.2.1" data-path="../binaryclass/a9a_dataset.html">
<a href="../binaryclass/a9a_dataset.html">
- <b>6.1.1.</b>
+ <b>6.2.1.</b>
Data preparation
@@ -848,12 +869,12 @@
</li>
- <li class="chapter " data-level="6.1.2" data-path="../binaryclass/a9a_lr.html">
+ <li class="chapter " data-level="6.2.2" data-path="../binaryclass/a9a_lr.html">
<a href="../binaryclass/a9a_lr.html">
- <b>6.1.2.</b>
+ <b>6.2.2.</b>
Logistic Regression
@@ -863,12 +884,12 @@
</li>
- <li class="chapter " data-level="6.1.3" data-path="../binaryclass/a9a_minibatch.html">
+ <li class="chapter " data-level="6.2.3" data-path="../binaryclass/a9a_minibatch.html">
<a href="../binaryclass/a9a_minibatch.html">
- <b>6.1.3.</b>
+ <b>6.2.3.</b>
Mini-batch Gradient Descent
@@ -883,14 +904,14 @@
</li>
- <li class="chapter " data-level="6.2" data-path="../binaryclass/news20.html">
+ <li class="chapter " data-level="6.3" data-path="../binaryclass/news20.html">
<a href="../binaryclass/news20.html">
- <b>6.2.</b>
+ <b>6.3.</b>
- News20
+ News20 tutorial
</a>
@@ -899,12 +920,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.2.1" data-path="../binaryclass/news20_dataset.html">
+ <li class="chapter " data-level="6.3.1" data-path="../binaryclass/news20_dataset.html">
<a href="../binaryclass/news20_dataset.html">
- <b>6.2.1.</b>
+ <b>6.3.1.</b>
Data preparation
@@ -914,12 +935,12 @@
</li>
- <li class="chapter " data-level="6.2.2" data-path="../binaryclass/news20_pa.html">
+ <li class="chapter " data-level="6.3.2" data-path="../binaryclass/news20_pa.html">
<a href="../binaryclass/news20_pa.html">
- <b>6.2.2.</b>
+ <b>6.3.2.</b>
Perceptron, Passive Aggressive
@@ -929,12 +950,12 @@
</li>
- <li class="chapter " data-level="6.2.3" data-path="../binaryclass/news20_scw.html">
+ <li class="chapter " data-level="6.3.3" data-path="../binaryclass/news20_scw.html">
<a href="../binaryclass/news20_scw.html">
- <b>6.2.3.</b>
+ <b>6.3.3.</b>
CW, AROW, SCW
@@ -944,12 +965,12 @@
</li>
- <li class="chapter " data-level="6.2.4" data-path="../binaryclass/news20_adagrad.html">
+ <li class="chapter " data-level="6.3.4" data-path="../binaryclass/news20_adagrad.html">
<a href="../binaryclass/news20_adagrad.html">
- <b>6.2.4.</b>
+ <b>6.3.4.</b>
AdaGradRDA, AdaGrad, AdaDelta
@@ -964,14 +985,14 @@
</li>
- <li class="chapter " data-level="6.3" data-path="../binaryclass/kdd2010a.html">
+ <li class="chapter " data-level="6.4" data-path="../binaryclass/kdd2010a.html">
<a href="../binaryclass/kdd2010a.html">
- <b>6.3.</b>
+ <b>6.4.</b>
- KDD2010a
+ KDD2010a tutorial
</a>
@@ -980,12 +1001,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.3.1" data-path="../binaryclass/kdd2010a_dataset.html">
+ <li class="chapter " data-level="6.4.1" data-path="../binaryclass/kdd2010a_dataset.html">
<a href="../binaryclass/kdd2010a_dataset.html">
- <b>6.3.1.</b>
+ <b>6.4.1.</b>
Data preparation
@@ -995,12 +1016,12 @@
</li>
- <li class="chapter " data-level="6.3.2" data-path="../binaryclass/kdd2010a_scw.html">
+ <li class="chapter " data-level="6.4.2" data-path="../binaryclass/kdd2010a_scw.html">
<a href="../binaryclass/kdd2010a_scw.html">
- <b>6.3.2.</b>
+ <b>6.4.2.</b>
PA, CW, AROW, SCW
@@ -1015,14 +1036,14 @@
</li>
- <li class="chapter " data-level="6.4" data-path="../binaryclass/kdd2010b.html">
+ <li class="chapter " data-level="6.5" data-path="../binaryclass/kdd2010b.html">
<a href="../binaryclass/kdd2010b.html">
- <b>6.4.</b>
+ <b>6.5.</b>
- KDD2010b
+ KDD2010b tutorial
</a>
@@ -1031,12 +1052,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.4.1" data-path="../binaryclass/kdd2010b_dataset.html">
+ <li class="chapter " data-level="6.5.1" data-path="../binaryclass/kdd2010b_dataset.html">
<a href="../binaryclass/kdd2010b_dataset.html">
- <b>6.4.1.</b>
+ <b>6.5.1.</b>
Data preparation
@@ -1046,12 +1067,12 @@
</li>
- <li class="chapter " data-level="6.4.2" data-path="../binaryclass/kdd2010b_arow.html">
+ <li class="chapter " data-level="6.5.2" data-path="../binaryclass/kdd2010b_arow.html">
<a href="../binaryclass/kdd2010b_arow.html">
- <b>6.4.2.</b>
+ <b>6.5.2.</b>
AROW
@@ -1066,14 +1087,14 @@
</li>
- <li class="chapter " data-level="6.5" data-path="../binaryclass/webspam.html">
+ <li class="chapter " data-level="6.6" data-path="../binaryclass/webspam.html">
<a href="../binaryclass/webspam.html">
- <b>6.5.</b>
+ <b>6.6.</b>
- Webspam
+ Webspam tutorial
</a>
@@ -1082,12 +1103,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.5.1" data-path="../binaryclass/webspam_dataset.html">
+ <li class="chapter " data-level="6.6.1" data-path="../binaryclass/webspam_dataset.html">
<a href="../binaryclass/webspam_dataset.html">
- <b>6.5.1.</b>
+ <b>6.6.1.</b>
Data pareparation
@@ -1097,12 +1118,12 @@
</li>
- <li class="chapter " data-level="6.5.2" data-path="../binaryclass/webspam_scw.html">
+ <li class="chapter " data-level="6.6.2" data-path="../binaryclass/webspam_scw.html">
<a href="../binaryclass/webspam_scw.html">
- <b>6.5.2.</b>
+ <b>6.6.2.</b>
PA1, AROW, SCW
@@ -1117,14 +1138,14 @@
</li>
- <li class="chapter " data-level="6.6" data-path="../binaryclass/titanic_rf.html">
+ <li class="chapter " data-level="6.7" data-path="../binaryclass/titanic_rf.html">
<a href="../binaryclass/titanic_rf.html">
- <b>6.6.</b>
+ <b>6.7.</b>
- Kaggle Titanic
+ Kaggle Titanic tutorial
</a>
@@ -1135,7 +1156,7 @@
- <li class="header">Part VII - Multiclass classification tutorials</li>
+ <li class="header">Part VII - Multiclass classification</li>
@@ -1146,7 +1167,7 @@
<b>7.1.</b>
- News20 Multiclass
+ News20 Multiclass tutorial
</a>
@@ -1257,7 +1278,7 @@
<b>7.2.</b>
- Iris
+ Iris tutorial
</a>
@@ -1319,18 +1340,33 @@
- <li class="header">Part VIII - Regression tutorials</li>
+ <li class="header">Part VIII - Regression</li>
- <li class="chapter " data-level="8.1" data-path="../regression/e2006.html">
+ <li class="chapter " data-level="8.1" data-path="../regression/general.html">
- <a href="../regression/e2006.html">
+ <a href="../regression/general.html">
<b>8.1.</b>
- E2006-tfidf regression
+ Regression
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="8.2" data-path="../regression/e2006.html">
+
+ <a href="../regression/e2006.html">
+
+
+ <b>8.2.</b>
+
+ E2006-tfidf regression tutorial
</a>
@@ -1339,12 +1375,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.1.1" data-path="../regression/e2006_dataset.html">
+ <li class="chapter " data-level="8.2.1" data-path="../regression/e2006_dataset.html">
<a href="../regression/e2006_dataset.html">
- <b>8.1.1.</b>
+ <b>8.2.1.</b>
Data preparation
@@ -1354,12 +1390,12 @@
</li>
- <li class="chapter " data-level="8.1.2" data-path="../regression/e2006_arow.html">
+ <li class="chapter " data-level="8.2.2" data-path="../regression/e2006_arow.html">
<a href="../regression/e2006_arow.html">
- <b>8.1.2.</b>
+ <b>8.2.2.</b>
Passive Aggressive, AROW
@@ -1374,14 +1410,14 @@
</li>
- <li class="chapter " data-level="8.2" data-path="../regression/kddcup12tr2.html">
+ <li class="chapter " data-level="8.3" data-path="../regression/kddcup12tr2.html">
<a href="../regression/kddcup12tr2.html">
- <b>8.2.</b>
+ <b>8.3.</b>
- KDDCup 2012 track 2 CTR prediction
+ KDDCup 2012 track 2 CTR prediction tutorial
</a>
@@ -1390,12 +1426,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.2.1" data-path="../regression/kddcup12tr2_dataset.html">
+ <li class="chapter " data-level="8.3.1" data-path="../regression/kddcup12tr2_dataset.html">
<a href="../regression/kddcup12tr2_dataset.html">
- <b>8.2.1.</b>
+ <b>8.3.1.</b>
Data preparation
@@ -1405,12 +1441,12 @@
</li>
- <li class="chapter " data-level="8.2.2" data-path="../regression/kddcup12tr2_lr.html">
+ <li class="chapter " data-level="8.3.2" data-path="../regression/kddcup12tr2_lr.html">
<a href="../regression/kddcup12tr2_lr.html">
- <b>8.2.2.</b>
+ <b>8.3.2.</b>
Logistic Regression, Passive Aggressive
@@ -1420,12 +1456,12 @@
</li>
- <li class="chapter " data-level="8.2.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
+ <li class="chapter " data-level="8.3.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
<a href="../regression/kddcup12tr2_lr_amplify.html">
- <b>8.2.3.</b>
+ <b>8.3.3.</b>
Logistic Regression with Amplifier
@@ -1435,12 +1471,12 @@
</li>
- <li class="chapter " data-level="8.2.4" data-path="../regression/kddcup12tr2_adagrad.html">
+ <li class="chapter " data-level="8.3.4" data-path="../regression/kddcup12tr2_adagrad.html">
<a href="../regression/kddcup12tr2_adagrad.html">
- <b>8.2.4.</b>
+ <b>8.3.4.</b>
AdaGrad, AdaDelta
@@ -2321,7 +2357,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
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http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/ba518dab/userguide/multiclass/news20_one-vs-the-rest.html
----------------------------------------------------------------------
diff --git a/userguide/multiclass/news20_one-vs-the-rest.html b/userguide/multiclass/news20_one-vs-the-rest.html
index af6c281..5617d2c 100644
--- a/userguide/multiclass/news20_one-vs-the-rest.html
+++ b/userguide/multiclass/news20_one-vs-the-rest.html
@@ -598,14 +598,30 @@
</li>
- <li class="chapter " data-level="3.5" data-path="../ft_engineering/tfidf.html">
+ <li class="chapter " data-level="3.5" data-path="../ft_engineering/pairing.html">
- <a href="../ft_engineering/tfidf.html">
+ <a href="../ft_engineering/pairing.html">
<b>3.5.</b>
- TF-IDF Calculation
+ FEATURE PAIRING
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="3.5.1" data-path="../ft_engineering/polynomial.html">
+
+ <a href="../ft_engineering/polynomial.html">
+
+
+ <b>3.5.1.</b>
+
+ Polynomial Features
</a>
@@ -613,6 +629,11 @@
</li>
+
+ </ul>
+
+ </li>
+
<li class="chapter " data-level="3.6" data-path="../ft_engineering/ft_trans.html">
<a href="../ft_engineering/ft_trans.html">
@@ -664,6 +685,21 @@
</li>
+ <li class="chapter " data-level="3.7" data-path="../ft_engineering/tfidf.html">
+
+ <a href="../ft_engineering/tfidf.html">
+
+
+ <b>3.7.</b>
+
+ TF-IDF Calculation
+
+ </a>
+
+
+
+ </li>
+
@@ -761,7 +797,7 @@
- <li class="header">Part V - Prediction</li>
+ <li class="header">Part V - Supervised Learning</li>
@@ -780,27 +816,19 @@
</li>
- <li class="chapter " data-level="5.2" data-path="../regression/general.html">
-
- <a href="../regression/general.html">
-
-
- <b>5.2.</b>
-
- Regression
-
- </a>
-
-
- </li>
- <li class="chapter " data-level="5.3" data-path="../binaryclass/general.html">
+
+ <li class="header">Part VI - Binary classification</li>
+
+
+
+ <li class="chapter " data-level="6.1" data-path="../binaryclass/general.html">
<a href="../binaryclass/general.html">
- <b>5.3.</b>
+ <b>6.1.</b>
Binary Classification
@@ -810,21 +838,14 @@
</li>
-
-
-
- <li class="header">Part VI - Binary classification tutorials</li>
-
-
-
- <li class="chapter " data-level="6.1" data-path="../binaryclass/a9a.html">
+ <li class="chapter " data-level="6.2" data-path="../binaryclass/a9a.html">
<a href="../binaryclass/a9a.html">
- <b>6.1.</b>
+ <b>6.2.</b>
- a9a
+ a9a tutorial
</a>
@@ -833,12 +854,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.1.1" data-path="../binaryclass/a9a_dataset.html">
+ <li class="chapter " data-level="6.2.1" data-path="../binaryclass/a9a_dataset.html">
<a href="../binaryclass/a9a_dataset.html">
- <b>6.1.1.</b>
+ <b>6.2.1.</b>
Data preparation
@@ -848,12 +869,12 @@
</li>
- <li class="chapter " data-level="6.1.2" data-path="../binaryclass/a9a_lr.html">
+ <li class="chapter " data-level="6.2.2" data-path="../binaryclass/a9a_lr.html">
<a href="../binaryclass/a9a_lr.html">
- <b>6.1.2.</b>
+ <b>6.2.2.</b>
Logistic Regression
@@ -863,12 +884,12 @@
</li>
- <li class="chapter " data-level="6.1.3" data-path="../binaryclass/a9a_minibatch.html">
+ <li class="chapter " data-level="6.2.3" data-path="../binaryclass/a9a_minibatch.html">
<a href="../binaryclass/a9a_minibatch.html">
- <b>6.1.3.</b>
+ <b>6.2.3.</b>
Mini-batch Gradient Descent
@@ -883,14 +904,14 @@
</li>
- <li class="chapter " data-level="6.2" data-path="../binaryclass/news20.html">
+ <li class="chapter " data-level="6.3" data-path="../binaryclass/news20.html">
<a href="../binaryclass/news20.html">
- <b>6.2.</b>
+ <b>6.3.</b>
- News20
+ News20 tutorial
</a>
@@ -899,12 +920,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.2.1" data-path="../binaryclass/news20_dataset.html">
+ <li class="chapter " data-level="6.3.1" data-path="../binaryclass/news20_dataset.html">
<a href="../binaryclass/news20_dataset.html">
- <b>6.2.1.</b>
+ <b>6.3.1.</b>
Data preparation
@@ -914,12 +935,12 @@
</li>
- <li class="chapter " data-level="6.2.2" data-path="../binaryclass/news20_pa.html">
+ <li class="chapter " data-level="6.3.2" data-path="../binaryclass/news20_pa.html">
<a href="../binaryclass/news20_pa.html">
- <b>6.2.2.</b>
+ <b>6.3.2.</b>
Perceptron, Passive Aggressive
@@ -929,12 +950,12 @@
</li>
- <li class="chapter " data-level="6.2.3" data-path="../binaryclass/news20_scw.html">
+ <li class="chapter " data-level="6.3.3" data-path="../binaryclass/news20_scw.html">
<a href="../binaryclass/news20_scw.html">
- <b>6.2.3.</b>
+ <b>6.3.3.</b>
CW, AROW, SCW
@@ -944,12 +965,12 @@
</li>
- <li class="chapter " data-level="6.2.4" data-path="../binaryclass/news20_adagrad.html">
+ <li class="chapter " data-level="6.3.4" data-path="../binaryclass/news20_adagrad.html">
<a href="../binaryclass/news20_adagrad.html">
- <b>6.2.4.</b>
+ <b>6.3.4.</b>
AdaGradRDA, AdaGrad, AdaDelta
@@ -964,14 +985,14 @@
</li>
- <li class="chapter " data-level="6.3" data-path="../binaryclass/kdd2010a.html">
+ <li class="chapter " data-level="6.4" data-path="../binaryclass/kdd2010a.html">
<a href="../binaryclass/kdd2010a.html">
- <b>6.3.</b>
+ <b>6.4.</b>
- KDD2010a
+ KDD2010a tutorial
</a>
@@ -980,12 +1001,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.3.1" data-path="../binaryclass/kdd2010a_dataset.html">
+ <li class="chapter " data-level="6.4.1" data-path="../binaryclass/kdd2010a_dataset.html">
<a href="../binaryclass/kdd2010a_dataset.html">
- <b>6.3.1.</b>
+ <b>6.4.1.</b>
Data preparation
@@ -995,12 +1016,12 @@
</li>
- <li class="chapter " data-level="6.3.2" data-path="../binaryclass/kdd2010a_scw.html">
+ <li class="chapter " data-level="6.4.2" data-path="../binaryclass/kdd2010a_scw.html">
<a href="../binaryclass/kdd2010a_scw.html">
- <b>6.3.2.</b>
+ <b>6.4.2.</b>
PA, CW, AROW, SCW
@@ -1015,14 +1036,14 @@
</li>
- <li class="chapter " data-level="6.4" data-path="../binaryclass/kdd2010b.html">
+ <li class="chapter " data-level="6.5" data-path="../binaryclass/kdd2010b.html">
<a href="../binaryclass/kdd2010b.html">
- <b>6.4.</b>
+ <b>6.5.</b>
- KDD2010b
+ KDD2010b tutorial
</a>
@@ -1031,12 +1052,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.4.1" data-path="../binaryclass/kdd2010b_dataset.html">
+ <li class="chapter " data-level="6.5.1" data-path="../binaryclass/kdd2010b_dataset.html">
<a href="../binaryclass/kdd2010b_dataset.html">
- <b>6.4.1.</b>
+ <b>6.5.1.</b>
Data preparation
@@ -1046,12 +1067,12 @@
</li>
- <li class="chapter " data-level="6.4.2" data-path="../binaryclass/kdd2010b_arow.html">
+ <li class="chapter " data-level="6.5.2" data-path="../binaryclass/kdd2010b_arow.html">
<a href="../binaryclass/kdd2010b_arow.html">
- <b>6.4.2.</b>
+ <b>6.5.2.</b>
AROW
@@ -1066,14 +1087,14 @@
</li>
- <li class="chapter " data-level="6.5" data-path="../binaryclass/webspam.html">
+ <li class="chapter " data-level="6.6" data-path="../binaryclass/webspam.html">
<a href="../binaryclass/webspam.html">
- <b>6.5.</b>
+ <b>6.6.</b>
- Webspam
+ Webspam tutorial
</a>
@@ -1082,12 +1103,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.5.1" data-path="../binaryclass/webspam_dataset.html">
+ <li class="chapter " data-level="6.6.1" data-path="../binaryclass/webspam_dataset.html">
<a href="../binaryclass/webspam_dataset.html">
- <b>6.5.1.</b>
+ <b>6.6.1.</b>
Data pareparation
@@ -1097,12 +1118,12 @@
</li>
- <li class="chapter " data-level="6.5.2" data-path="../binaryclass/webspam_scw.html">
+ <li class="chapter " data-level="6.6.2" data-path="../binaryclass/webspam_scw.html">
<a href="../binaryclass/webspam_scw.html">
- <b>6.5.2.</b>
+ <b>6.6.2.</b>
PA1, AROW, SCW
@@ -1117,14 +1138,14 @@
</li>
- <li class="chapter " data-level="6.6" data-path="../binaryclass/titanic_rf.html">
+ <li class="chapter " data-level="6.7" data-path="../binaryclass/titanic_rf.html">
<a href="../binaryclass/titanic_rf.html">
- <b>6.6.</b>
+ <b>6.7.</b>
- Kaggle Titanic
+ Kaggle Titanic tutorial
</a>
@@ -1135,7 +1156,7 @@
- <li class="header">Part VII - Multiclass classification tutorials</li>
+ <li class="header">Part VII - Multiclass classification</li>
@@ -1146,7 +1167,7 @@
<b>7.1.</b>
- News20 Multiclass
+ News20 Multiclass tutorial
</a>
@@ -1257,7 +1278,7 @@
<b>7.2.</b>
- Iris
+ Iris tutorial
</a>
@@ -1319,18 +1340,33 @@
- <li class="header">Part VIII - Regression tutorials</li>
+ <li class="header">Part VIII - Regression</li>
- <li class="chapter " data-level="8.1" data-path="../regression/e2006.html">
+ <li class="chapter " data-level="8.1" data-path="../regression/general.html">
- <a href="../regression/e2006.html">
+ <a href="../regression/general.html">
<b>8.1.</b>
- E2006-tfidf regression
+ Regression
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="8.2" data-path="../regression/e2006.html">
+
+ <a href="../regression/e2006.html">
+
+
+ <b>8.2.</b>
+
+ E2006-tfidf regression tutorial
</a>
@@ -1339,12 +1375,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.1.1" data-path="../regression/e2006_dataset.html">
+ <li class="chapter " data-level="8.2.1" data-path="../regression/e2006_dataset.html">
<a href="../regression/e2006_dataset.html">
- <b>8.1.1.</b>
+ <b>8.2.1.</b>
Data preparation
@@ -1354,12 +1390,12 @@
</li>
- <li class="chapter " data-level="8.1.2" data-path="../regression/e2006_arow.html">
+ <li class="chapter " data-level="8.2.2" data-path="../regression/e2006_arow.html">
<a href="../regression/e2006_arow.html">
- <b>8.1.2.</b>
+ <b>8.2.2.</b>
Passive Aggressive, AROW
@@ -1374,14 +1410,14 @@
</li>
- <li class="chapter " data-level="8.2" data-path="../regression/kddcup12tr2.html">
+ <li class="chapter " data-level="8.3" data-path="../regression/kddcup12tr2.html">
<a href="../regression/kddcup12tr2.html">
- <b>8.2.</b>
+ <b>8.3.</b>
- KDDCup 2012 track 2 CTR prediction
+ KDDCup 2012 track 2 CTR prediction tutorial
</a>
@@ -1390,12 +1426,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.2.1" data-path="../regression/kddcup12tr2_dataset.html">
+ <li class="chapter " data-level="8.3.1" data-path="../regression/kddcup12tr2_dataset.html">
<a href="../regression/kddcup12tr2_dataset.html">
- <b>8.2.1.</b>
+ <b>8.3.1.</b>
Data preparation
@@ -1405,12 +1441,12 @@
</li>
- <li class="chapter " data-level="8.2.2" data-path="../regression/kddcup12tr2_lr.html">
+ <li class="chapter " data-level="8.3.2" data-path="../regression/kddcup12tr2_lr.html">
<a href="../regression/kddcup12tr2_lr.html">
- <b>8.2.2.</b>
+ <b>8.3.2.</b>
Logistic Regression, Passive Aggressive
@@ -1420,12 +1456,12 @@
</li>
- <li class="chapter " data-level="8.2.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
+ <li class="chapter " data-level="8.3.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
<a href="../regression/kddcup12tr2_lr_amplify.html">
- <b>8.2.3.</b>
+ <b>8.3.3.</b>
Logistic Regression with Amplifier
@@ -1435,12 +1471,12 @@
</li>
- <li class="chapter " data-level="8.2.4" data-path="../regression/kddcup12tr2_adagrad.html">
+ <li class="chapter " data-level="8.3.4" data-path="../regression/kddcup12tr2_adagrad.html">
<a href="../regression/kddcup12tr2_adagrad.html">
- <b>8.2.4.</b>
+ <b>8.3.4.</b>
AdaGrad, AdaDelta
@@ -2462,7 +2498,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
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[41/41] incubator-hivemall-site git commit: Added descriptions about
Feature Pairing in the user guide
Posted by my...@apache.org.
Added descriptions about Feature Pairing in the user guide
Project: http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/repo
Commit: http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/commit/ba518dab
Tree: http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/tree/ba518dab
Diff: http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/diff/ba518dab
Branch: refs/heads/asf-site
Commit: ba518dabca99b7c0723b08cf873a89254b054e01
Parents: f103c42
Author: Makoto Yui <yu...@gmail.com>
Authored: Fri Jun 23 19:03:17 2017 +0900
Committer: Makoto Yui <yu...@gmail.com>
Committed: Fri Jun 23 19:03:17 2017 +0900
----------------------------------------------------------------------
userguide/anomaly/changefinder.html | 222 +-
userguide/anomaly/lof.html | 222 +-
userguide/anomaly/sst.html | 222 +-
userguide/binaryclass/a9a.html | 226 +-
userguide/binaryclass/a9a_dataset.html | 222 +-
userguide/binaryclass/a9a_lr.html | 222 +-
userguide/binaryclass/a9a_minibatch.html | 222 +-
userguide/binaryclass/general.html | 227 +-
userguide/binaryclass/kdd2010a.html | 226 +-
userguide/binaryclass/kdd2010a_dataset.html | 222 +-
userguide/binaryclass/kdd2010a_scw.html | 222 +-
userguide/binaryclass/kdd2010b.html | 226 +-
userguide/binaryclass/kdd2010b_arow.html | 222 +-
userguide/binaryclass/kdd2010b_dataset.html | 222 +-
userguide/binaryclass/news20.html | 226 +-
userguide/binaryclass/news20_adagrad.html | 222 +-
userguide/binaryclass/news20_dataset.html | 222 +-
userguide/binaryclass/news20_pa.html | 222 +-
userguide/binaryclass/news20_scw.html | 222 +-
userguide/binaryclass/titanic_rf.html | 226 +-
userguide/binaryclass/webspam.html | 226 +-
userguide/binaryclass/webspam_dataset.html | 222 +-
userguide/binaryclass/webspam_scw.html | 222 +-
userguide/clustering/lda.html | 270 ++-
userguide/clustering/plsa.html | 269 +-
userguide/docker/getting_started.html | 222 +-
userguide/eval/auc.html | 235 +-
userguide/eval/datagen.html | 222 +-
userguide/eval/lr_datagen.html | 222 +-
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userguide/eval/stat_eval.html | 224 +-
userguide/ft_engineering/binning.html | 224 +-
userguide/ft_engineering/ft_trans.html | 224 +-
userguide/ft_engineering/hashing.html | 222 +-
userguide/ft_engineering/pairing.html | 2240 +++++++++++++++++
userguide/ft_engineering/polynomial.html | 2288 ++++++++++++++++++
userguide/ft_engineering/quantify.html | 224 +-
userguide/ft_engineering/scaling.html | 222 +-
userguide/ft_engineering/selection.html | 226 +-
userguide/ft_engineering/tfidf.html | 226 +-
userguide/ft_engineering/vectorization.html | 222 +-
userguide/geospatial/latlon.html | 224 +-
userguide/getting_started/index.html | 222 +-
userguide/getting_started/input-format.html | 222 +-
userguide/getting_started/installation.html | 222 +-
.../getting_started/permanent-functions.html | 222 +-
userguide/index.html | 222 +-
userguide/misc/generic_funcs.html | 222 +-
userguide/misc/prediction.html | 270 ++-
userguide/misc/tokenizer.html | 222 +-
userguide/misc/topk.html | 222 +-
userguide/multiclass/iris.html | 226 +-
userguide/multiclass/iris_dataset.html | 222 +-
userguide/multiclass/iris_randomforest.html | 224 +-
userguide/multiclass/iris_scw.html | 222 +-
userguide/multiclass/news20.html | 226 +-
userguide/multiclass/news20_dataset.html | 222 +-
userguide/multiclass/news20_ensemble.html | 222 +-
.../multiclass/news20_one-vs-the-rest.html | 222 +-
.../news20_one-vs-the-rest_dataset.html | 222 +-
userguide/multiclass/news20_pa.html | 222 +-
userguide/multiclass/news20_scw.html | 222 +-
userguide/recommend/cf.html | 222 +-
userguide/recommend/item_based_cf.html | 222 +-
userguide/recommend/movielens.html | 222 +-
userguide/recommend/movielens_cf.html | 226 +-
userguide/recommend/movielens_cv.html | 222 +-
userguide/recommend/movielens_dataset.html | 222 +-
userguide/recommend/movielens_fm.html | 222 +-
userguide/recommend/movielens_mf.html | 222 +-
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userguide/recommend/news20_bbit_minhash.html | 222 +-
userguide/recommend/news20_jaccard.html | 222 +-
userguide/recommend/news20_knn.html | 222 +-
userguide/regression/e2006.html | 228 +-
userguide/regression/e2006_arow.html | 222 +-
userguide/regression/e2006_dataset.html | 222 +-
userguide/regression/general.html | 226 +-
userguide/regression/kddcup12tr2.html | 226 +-
userguide/regression/kddcup12tr2_adagrad.html | 222 +-
userguide/regression/kddcup12tr2_dataset.html | 222 +-
userguide/regression/kddcup12tr2_lr.html | 222 +-
.../regression/kddcup12tr2_lr_amplify.html | 222 +-
userguide/search_index.json | 2 +-
userguide/sitemap.xml | 6 +-
userguide/spark/binaryclass/a9a_df.html | 222 +-
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.../spark/getting_started/installation.html | 222 +-
userguide/spark/misc/functions.html | 222 +-
userguide/spark/misc/misc.html | 222 +-
userguide/spark/misc/topk_join.html | 222 +-
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userguide/tips/addbias.html | 222 +-
userguide/tips/emr.html | 222 +-
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userguide/tips/hadoop_tuning.html | 222 +-
userguide/tips/index.html | 222 +-
userguide/tips/mixserver.html | 222 +-
userguide/tips/rand_amplify.html | 222 +-
userguide/tips/rowid.html | 222 +-
userguide/tips/rt_prediction.html | 222 +-
userguide/troubleshooting/asterisk.html | 222 +-
userguide/troubleshooting/index.html | 222 +-
.../troubleshooting/mapjoin_classcastex.html | 222 +-
.../troubleshooting/mapjoin_task_error.html | 222 +-
userguide/troubleshooting/num_mappers.html | 222 +-
userguide/troubleshooting/oom.html | 222 +-
109 files changed, 18232 insertions(+), 9891 deletions(-)
----------------------------------------------------------------------
http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/ba518dab/userguide/anomaly/changefinder.html
----------------------------------------------------------------------
diff --git a/userguide/anomaly/changefinder.html b/userguide/anomaly/changefinder.html
index 17d2450..85b6fe9 100644
--- a/userguide/anomaly/changefinder.html
+++ b/userguide/anomaly/changefinder.html
@@ -598,14 +598,30 @@
</li>
- <li class="chapter " data-level="3.5" data-path="../ft_engineering/tfidf.html">
+ <li class="chapter " data-level="3.5" data-path="../ft_engineering/pairing.html">
- <a href="../ft_engineering/tfidf.html">
+ <a href="../ft_engineering/pairing.html">
<b>3.5.</b>
- TF-IDF Calculation
+ FEATURE PAIRING
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="3.5.1" data-path="../ft_engineering/polynomial.html">
+
+ <a href="../ft_engineering/polynomial.html">
+
+
+ <b>3.5.1.</b>
+
+ Polynomial Features
</a>
@@ -613,6 +629,11 @@
</li>
+
+ </ul>
+
+ </li>
+
<li class="chapter " data-level="3.6" data-path="../ft_engineering/ft_trans.html">
<a href="../ft_engineering/ft_trans.html">
@@ -664,6 +685,21 @@
</li>
+ <li class="chapter " data-level="3.7" data-path="../ft_engineering/tfidf.html">
+
+ <a href="../ft_engineering/tfidf.html">
+
+
+ <b>3.7.</b>
+
+ TF-IDF Calculation
+
+ </a>
+
+
+
+ </li>
+
@@ -761,7 +797,7 @@
- <li class="header">Part V - Prediction</li>
+ <li class="header">Part V - Supervised Learning</li>
@@ -780,27 +816,19 @@
</li>
- <li class="chapter " data-level="5.2" data-path="../regression/general.html">
-
- <a href="../regression/general.html">
-
-
- <b>5.2.</b>
-
- Regression
-
- </a>
-
-
- </li>
- <li class="chapter " data-level="5.3" data-path="../binaryclass/general.html">
+
+ <li class="header">Part VI - Binary classification</li>
+
+
+
+ <li class="chapter " data-level="6.1" data-path="../binaryclass/general.html">
<a href="../binaryclass/general.html">
- <b>5.3.</b>
+ <b>6.1.</b>
Binary Classification
@@ -810,21 +838,14 @@
</li>
-
-
-
- <li class="header">Part VI - Binary classification tutorials</li>
-
-
-
- <li class="chapter " data-level="6.1" data-path="../binaryclass/a9a.html">
+ <li class="chapter " data-level="6.2" data-path="../binaryclass/a9a.html">
<a href="../binaryclass/a9a.html">
- <b>6.1.</b>
+ <b>6.2.</b>
- a9a
+ a9a tutorial
</a>
@@ -833,12 +854,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.1.1" data-path="../binaryclass/a9a_dataset.html">
+ <li class="chapter " data-level="6.2.1" data-path="../binaryclass/a9a_dataset.html">
<a href="../binaryclass/a9a_dataset.html">
- <b>6.1.1.</b>
+ <b>6.2.1.</b>
Data preparation
@@ -848,12 +869,12 @@
</li>
- <li class="chapter " data-level="6.1.2" data-path="../binaryclass/a9a_lr.html">
+ <li class="chapter " data-level="6.2.2" data-path="../binaryclass/a9a_lr.html">
<a href="../binaryclass/a9a_lr.html">
- <b>6.1.2.</b>
+ <b>6.2.2.</b>
Logistic Regression
@@ -863,12 +884,12 @@
</li>
- <li class="chapter " data-level="6.1.3" data-path="../binaryclass/a9a_minibatch.html">
+ <li class="chapter " data-level="6.2.3" data-path="../binaryclass/a9a_minibatch.html">
<a href="../binaryclass/a9a_minibatch.html">
- <b>6.1.3.</b>
+ <b>6.2.3.</b>
Mini-batch Gradient Descent
@@ -883,14 +904,14 @@
</li>
- <li class="chapter " data-level="6.2" data-path="../binaryclass/news20.html">
+ <li class="chapter " data-level="6.3" data-path="../binaryclass/news20.html">
<a href="../binaryclass/news20.html">
- <b>6.2.</b>
+ <b>6.3.</b>
- News20
+ News20 tutorial
</a>
@@ -899,12 +920,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.2.1" data-path="../binaryclass/news20_dataset.html">
+ <li class="chapter " data-level="6.3.1" data-path="../binaryclass/news20_dataset.html">
<a href="../binaryclass/news20_dataset.html">
- <b>6.2.1.</b>
+ <b>6.3.1.</b>
Data preparation
@@ -914,12 +935,12 @@
</li>
- <li class="chapter " data-level="6.2.2" data-path="../binaryclass/news20_pa.html">
+ <li class="chapter " data-level="6.3.2" data-path="../binaryclass/news20_pa.html">
<a href="../binaryclass/news20_pa.html">
- <b>6.2.2.</b>
+ <b>6.3.2.</b>
Perceptron, Passive Aggressive
@@ -929,12 +950,12 @@
</li>
- <li class="chapter " data-level="6.2.3" data-path="../binaryclass/news20_scw.html">
+ <li class="chapter " data-level="6.3.3" data-path="../binaryclass/news20_scw.html">
<a href="../binaryclass/news20_scw.html">
- <b>6.2.3.</b>
+ <b>6.3.3.</b>
CW, AROW, SCW
@@ -944,12 +965,12 @@
</li>
- <li class="chapter " data-level="6.2.4" data-path="../binaryclass/news20_adagrad.html">
+ <li class="chapter " data-level="6.3.4" data-path="../binaryclass/news20_adagrad.html">
<a href="../binaryclass/news20_adagrad.html">
- <b>6.2.4.</b>
+ <b>6.3.4.</b>
AdaGradRDA, AdaGrad, AdaDelta
@@ -964,14 +985,14 @@
</li>
- <li class="chapter " data-level="6.3" data-path="../binaryclass/kdd2010a.html">
+ <li class="chapter " data-level="6.4" data-path="../binaryclass/kdd2010a.html">
<a href="../binaryclass/kdd2010a.html">
- <b>6.3.</b>
+ <b>6.4.</b>
- KDD2010a
+ KDD2010a tutorial
</a>
@@ -980,12 +1001,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.3.1" data-path="../binaryclass/kdd2010a_dataset.html">
+ <li class="chapter " data-level="6.4.1" data-path="../binaryclass/kdd2010a_dataset.html">
<a href="../binaryclass/kdd2010a_dataset.html">
- <b>6.3.1.</b>
+ <b>6.4.1.</b>
Data preparation
@@ -995,12 +1016,12 @@
</li>
- <li class="chapter " data-level="6.3.2" data-path="../binaryclass/kdd2010a_scw.html">
+ <li class="chapter " data-level="6.4.2" data-path="../binaryclass/kdd2010a_scw.html">
<a href="../binaryclass/kdd2010a_scw.html">
- <b>6.3.2.</b>
+ <b>6.4.2.</b>
PA, CW, AROW, SCW
@@ -1015,14 +1036,14 @@
</li>
- <li class="chapter " data-level="6.4" data-path="../binaryclass/kdd2010b.html">
+ <li class="chapter " data-level="6.5" data-path="../binaryclass/kdd2010b.html">
<a href="../binaryclass/kdd2010b.html">
- <b>6.4.</b>
+ <b>6.5.</b>
- KDD2010b
+ KDD2010b tutorial
</a>
@@ -1031,12 +1052,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.4.1" data-path="../binaryclass/kdd2010b_dataset.html">
+ <li class="chapter " data-level="6.5.1" data-path="../binaryclass/kdd2010b_dataset.html">
<a href="../binaryclass/kdd2010b_dataset.html">
- <b>6.4.1.</b>
+ <b>6.5.1.</b>
Data preparation
@@ -1046,12 +1067,12 @@
</li>
- <li class="chapter " data-level="6.4.2" data-path="../binaryclass/kdd2010b_arow.html">
+ <li class="chapter " data-level="6.5.2" data-path="../binaryclass/kdd2010b_arow.html">
<a href="../binaryclass/kdd2010b_arow.html">
- <b>6.4.2.</b>
+ <b>6.5.2.</b>
AROW
@@ -1066,14 +1087,14 @@
</li>
- <li class="chapter " data-level="6.5" data-path="../binaryclass/webspam.html">
+ <li class="chapter " data-level="6.6" data-path="../binaryclass/webspam.html">
<a href="../binaryclass/webspam.html">
- <b>6.5.</b>
+ <b>6.6.</b>
- Webspam
+ Webspam tutorial
</a>
@@ -1082,12 +1103,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.5.1" data-path="../binaryclass/webspam_dataset.html">
+ <li class="chapter " data-level="6.6.1" data-path="../binaryclass/webspam_dataset.html">
<a href="../binaryclass/webspam_dataset.html">
- <b>6.5.1.</b>
+ <b>6.6.1.</b>
Data pareparation
@@ -1097,12 +1118,12 @@
</li>
- <li class="chapter " data-level="6.5.2" data-path="../binaryclass/webspam_scw.html">
+ <li class="chapter " data-level="6.6.2" data-path="../binaryclass/webspam_scw.html">
<a href="../binaryclass/webspam_scw.html">
- <b>6.5.2.</b>
+ <b>6.6.2.</b>
PA1, AROW, SCW
@@ -1117,14 +1138,14 @@
</li>
- <li class="chapter " data-level="6.6" data-path="../binaryclass/titanic_rf.html">
+ <li class="chapter " data-level="6.7" data-path="../binaryclass/titanic_rf.html">
<a href="../binaryclass/titanic_rf.html">
- <b>6.6.</b>
+ <b>6.7.</b>
- Kaggle Titanic
+ Kaggle Titanic tutorial
</a>
@@ -1135,7 +1156,7 @@
- <li class="header">Part VII - Multiclass classification tutorials</li>
+ <li class="header">Part VII - Multiclass classification</li>
@@ -1146,7 +1167,7 @@
<b>7.1.</b>
- News20 Multiclass
+ News20 Multiclass tutorial
</a>
@@ -1257,7 +1278,7 @@
<b>7.2.</b>
- Iris
+ Iris tutorial
</a>
@@ -1319,18 +1340,33 @@
- <li class="header">Part VIII - Regression tutorials</li>
+ <li class="header">Part VIII - Regression</li>
- <li class="chapter " data-level="8.1" data-path="../regression/e2006.html">
+ <li class="chapter " data-level="8.1" data-path="../regression/general.html">
- <a href="../regression/e2006.html">
+ <a href="../regression/general.html">
<b>8.1.</b>
- E2006-tfidf regression
+ Regression
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="8.2" data-path="../regression/e2006.html">
+
+ <a href="../regression/e2006.html">
+
+
+ <b>8.2.</b>
+
+ E2006-tfidf regression tutorial
</a>
@@ -1339,12 +1375,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.1.1" data-path="../regression/e2006_dataset.html">
+ <li class="chapter " data-level="8.2.1" data-path="../regression/e2006_dataset.html">
<a href="../regression/e2006_dataset.html">
- <b>8.1.1.</b>
+ <b>8.2.1.</b>
Data preparation
@@ -1354,12 +1390,12 @@
</li>
- <li class="chapter " data-level="8.1.2" data-path="../regression/e2006_arow.html">
+ <li class="chapter " data-level="8.2.2" data-path="../regression/e2006_arow.html">
<a href="../regression/e2006_arow.html">
- <b>8.1.2.</b>
+ <b>8.2.2.</b>
Passive Aggressive, AROW
@@ -1374,14 +1410,14 @@
</li>
- <li class="chapter " data-level="8.2" data-path="../regression/kddcup12tr2.html">
+ <li class="chapter " data-level="8.3" data-path="../regression/kddcup12tr2.html">
<a href="../regression/kddcup12tr2.html">
- <b>8.2.</b>
+ <b>8.3.</b>
- KDDCup 2012 track 2 CTR prediction
+ KDDCup 2012 track 2 CTR prediction tutorial
</a>
@@ -1390,12 +1426,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.2.1" data-path="../regression/kddcup12tr2_dataset.html">
+ <li class="chapter " data-level="8.3.1" data-path="../regression/kddcup12tr2_dataset.html">
<a href="../regression/kddcup12tr2_dataset.html">
- <b>8.2.1.</b>
+ <b>8.3.1.</b>
Data preparation
@@ -1405,12 +1441,12 @@
</li>
- <li class="chapter " data-level="8.2.2" data-path="../regression/kddcup12tr2_lr.html">
+ <li class="chapter " data-level="8.3.2" data-path="../regression/kddcup12tr2_lr.html">
<a href="../regression/kddcup12tr2_lr.html">
- <b>8.2.2.</b>
+ <b>8.3.2.</b>
Logistic Regression, Passive Aggressive
@@ -1420,12 +1456,12 @@
</li>
- <li class="chapter " data-level="8.2.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
+ <li class="chapter " data-level="8.3.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
<a href="../regression/kddcup12tr2_lr_amplify.html">
- <b>8.2.3.</b>
+ <b>8.3.3.</b>
Logistic Regression with Amplifier
@@ -1435,12 +1471,12 @@
</li>
- <li class="chapter " data-level="8.2.4" data-path="../regression/kddcup12tr2_adagrad.html">
+ <li class="chapter " data-level="8.3.4" data-path="../regression/kddcup12tr2_adagrad.html">
<a href="../regression/kddcup12tr2_adagrad.html">
- <b>8.2.4.</b>
+ <b>8.3.4.</b>
AdaGrad, AdaDelta
@@ -2320,7 +2356,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
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----------------------------------------------------------------------
diff --git a/userguide/anomaly/lof.html b/userguide/anomaly/lof.html
index a48c6ed..5c5e049 100644
--- a/userguide/anomaly/lof.html
+++ b/userguide/anomaly/lof.html
@@ -598,14 +598,30 @@
</li>
- <li class="chapter " data-level="3.5" data-path="../ft_engineering/tfidf.html">
+ <li class="chapter " data-level="3.5" data-path="../ft_engineering/pairing.html">
- <a href="../ft_engineering/tfidf.html">
+ <a href="../ft_engineering/pairing.html">
<b>3.5.</b>
- TF-IDF Calculation
+ FEATURE PAIRING
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="3.5.1" data-path="../ft_engineering/polynomial.html">
+
+ <a href="../ft_engineering/polynomial.html">
+
+
+ <b>3.5.1.</b>
+
+ Polynomial Features
</a>
@@ -613,6 +629,11 @@
</li>
+
+ </ul>
+
+ </li>
+
<li class="chapter " data-level="3.6" data-path="../ft_engineering/ft_trans.html">
<a href="../ft_engineering/ft_trans.html">
@@ -664,6 +685,21 @@
</li>
+ <li class="chapter " data-level="3.7" data-path="../ft_engineering/tfidf.html">
+
+ <a href="../ft_engineering/tfidf.html">
+
+
+ <b>3.7.</b>
+
+ TF-IDF Calculation
+
+ </a>
+
+
+
+ </li>
+
@@ -761,7 +797,7 @@
- <li class="header">Part V - Prediction</li>
+ <li class="header">Part V - Supervised Learning</li>
@@ -780,27 +816,19 @@
</li>
- <li class="chapter " data-level="5.2" data-path="../regression/general.html">
-
- <a href="../regression/general.html">
-
-
- <b>5.2.</b>
-
- Regression
-
- </a>
-
-
- </li>
- <li class="chapter " data-level="5.3" data-path="../binaryclass/general.html">
+
+ <li class="header">Part VI - Binary classification</li>
+
+
+
+ <li class="chapter " data-level="6.1" data-path="../binaryclass/general.html">
<a href="../binaryclass/general.html">
- <b>5.3.</b>
+ <b>6.1.</b>
Binary Classification
@@ -810,21 +838,14 @@
</li>
-
-
-
- <li class="header">Part VI - Binary classification tutorials</li>
-
-
-
- <li class="chapter " data-level="6.1" data-path="../binaryclass/a9a.html">
+ <li class="chapter " data-level="6.2" data-path="../binaryclass/a9a.html">
<a href="../binaryclass/a9a.html">
- <b>6.1.</b>
+ <b>6.2.</b>
- a9a
+ a9a tutorial
</a>
@@ -833,12 +854,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.1.1" data-path="../binaryclass/a9a_dataset.html">
+ <li class="chapter " data-level="6.2.1" data-path="../binaryclass/a9a_dataset.html">
<a href="../binaryclass/a9a_dataset.html">
- <b>6.1.1.</b>
+ <b>6.2.1.</b>
Data preparation
@@ -848,12 +869,12 @@
</li>
- <li class="chapter " data-level="6.1.2" data-path="../binaryclass/a9a_lr.html">
+ <li class="chapter " data-level="6.2.2" data-path="../binaryclass/a9a_lr.html">
<a href="../binaryclass/a9a_lr.html">
- <b>6.1.2.</b>
+ <b>6.2.2.</b>
Logistic Regression
@@ -863,12 +884,12 @@
</li>
- <li class="chapter " data-level="6.1.3" data-path="../binaryclass/a9a_minibatch.html">
+ <li class="chapter " data-level="6.2.3" data-path="../binaryclass/a9a_minibatch.html">
<a href="../binaryclass/a9a_minibatch.html">
- <b>6.1.3.</b>
+ <b>6.2.3.</b>
Mini-batch Gradient Descent
@@ -883,14 +904,14 @@
</li>
- <li class="chapter " data-level="6.2" data-path="../binaryclass/news20.html">
+ <li class="chapter " data-level="6.3" data-path="../binaryclass/news20.html">
<a href="../binaryclass/news20.html">
- <b>6.2.</b>
+ <b>6.3.</b>
- News20
+ News20 tutorial
</a>
@@ -899,12 +920,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.2.1" data-path="../binaryclass/news20_dataset.html">
+ <li class="chapter " data-level="6.3.1" data-path="../binaryclass/news20_dataset.html">
<a href="../binaryclass/news20_dataset.html">
- <b>6.2.1.</b>
+ <b>6.3.1.</b>
Data preparation
@@ -914,12 +935,12 @@
</li>
- <li class="chapter " data-level="6.2.2" data-path="../binaryclass/news20_pa.html">
+ <li class="chapter " data-level="6.3.2" data-path="../binaryclass/news20_pa.html">
<a href="../binaryclass/news20_pa.html">
- <b>6.2.2.</b>
+ <b>6.3.2.</b>
Perceptron, Passive Aggressive
@@ -929,12 +950,12 @@
</li>
- <li class="chapter " data-level="6.2.3" data-path="../binaryclass/news20_scw.html">
+ <li class="chapter " data-level="6.3.3" data-path="../binaryclass/news20_scw.html">
<a href="../binaryclass/news20_scw.html">
- <b>6.2.3.</b>
+ <b>6.3.3.</b>
CW, AROW, SCW
@@ -944,12 +965,12 @@
</li>
- <li class="chapter " data-level="6.2.4" data-path="../binaryclass/news20_adagrad.html">
+ <li class="chapter " data-level="6.3.4" data-path="../binaryclass/news20_adagrad.html">
<a href="../binaryclass/news20_adagrad.html">
- <b>6.2.4.</b>
+ <b>6.3.4.</b>
AdaGradRDA, AdaGrad, AdaDelta
@@ -964,14 +985,14 @@
</li>
- <li class="chapter " data-level="6.3" data-path="../binaryclass/kdd2010a.html">
+ <li class="chapter " data-level="6.4" data-path="../binaryclass/kdd2010a.html">
<a href="../binaryclass/kdd2010a.html">
- <b>6.3.</b>
+ <b>6.4.</b>
- KDD2010a
+ KDD2010a tutorial
</a>
@@ -980,12 +1001,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.3.1" data-path="../binaryclass/kdd2010a_dataset.html">
+ <li class="chapter " data-level="6.4.1" data-path="../binaryclass/kdd2010a_dataset.html">
<a href="../binaryclass/kdd2010a_dataset.html">
- <b>6.3.1.</b>
+ <b>6.4.1.</b>
Data preparation
@@ -995,12 +1016,12 @@
</li>
- <li class="chapter " data-level="6.3.2" data-path="../binaryclass/kdd2010a_scw.html">
+ <li class="chapter " data-level="6.4.2" data-path="../binaryclass/kdd2010a_scw.html">
<a href="../binaryclass/kdd2010a_scw.html">
- <b>6.3.2.</b>
+ <b>6.4.2.</b>
PA, CW, AROW, SCW
@@ -1015,14 +1036,14 @@
</li>
- <li class="chapter " data-level="6.4" data-path="../binaryclass/kdd2010b.html">
+ <li class="chapter " data-level="6.5" data-path="../binaryclass/kdd2010b.html">
<a href="../binaryclass/kdd2010b.html">
- <b>6.4.</b>
+ <b>6.5.</b>
- KDD2010b
+ KDD2010b tutorial
</a>
@@ -1031,12 +1052,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.4.1" data-path="../binaryclass/kdd2010b_dataset.html">
+ <li class="chapter " data-level="6.5.1" data-path="../binaryclass/kdd2010b_dataset.html">
<a href="../binaryclass/kdd2010b_dataset.html">
- <b>6.4.1.</b>
+ <b>6.5.1.</b>
Data preparation
@@ -1046,12 +1067,12 @@
</li>
- <li class="chapter " data-level="6.4.2" data-path="../binaryclass/kdd2010b_arow.html">
+ <li class="chapter " data-level="6.5.2" data-path="../binaryclass/kdd2010b_arow.html">
<a href="../binaryclass/kdd2010b_arow.html">
- <b>6.4.2.</b>
+ <b>6.5.2.</b>
AROW
@@ -1066,14 +1087,14 @@
</li>
- <li class="chapter " data-level="6.5" data-path="../binaryclass/webspam.html">
+ <li class="chapter " data-level="6.6" data-path="../binaryclass/webspam.html">
<a href="../binaryclass/webspam.html">
- <b>6.5.</b>
+ <b>6.6.</b>
- Webspam
+ Webspam tutorial
</a>
@@ -1082,12 +1103,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.5.1" data-path="../binaryclass/webspam_dataset.html">
+ <li class="chapter " data-level="6.6.1" data-path="../binaryclass/webspam_dataset.html">
<a href="../binaryclass/webspam_dataset.html">
- <b>6.5.1.</b>
+ <b>6.6.1.</b>
Data pareparation
@@ -1097,12 +1118,12 @@
</li>
- <li class="chapter " data-level="6.5.2" data-path="../binaryclass/webspam_scw.html">
+ <li class="chapter " data-level="6.6.2" data-path="../binaryclass/webspam_scw.html">
<a href="../binaryclass/webspam_scw.html">
- <b>6.5.2.</b>
+ <b>6.6.2.</b>
PA1, AROW, SCW
@@ -1117,14 +1138,14 @@
</li>
- <li class="chapter " data-level="6.6" data-path="../binaryclass/titanic_rf.html">
+ <li class="chapter " data-level="6.7" data-path="../binaryclass/titanic_rf.html">
<a href="../binaryclass/titanic_rf.html">
- <b>6.6.</b>
+ <b>6.7.</b>
- Kaggle Titanic
+ Kaggle Titanic tutorial
</a>
@@ -1135,7 +1156,7 @@
- <li class="header">Part VII - Multiclass classification tutorials</li>
+ <li class="header">Part VII - Multiclass classification</li>
@@ -1146,7 +1167,7 @@
<b>7.1.</b>
- News20 Multiclass
+ News20 Multiclass tutorial
</a>
@@ -1257,7 +1278,7 @@
<b>7.2.</b>
- Iris
+ Iris tutorial
</a>
@@ -1319,18 +1340,33 @@
- <li class="header">Part VIII - Regression tutorials</li>
+ <li class="header">Part VIII - Regression</li>
- <li class="chapter " data-level="8.1" data-path="../regression/e2006.html">
+ <li class="chapter " data-level="8.1" data-path="../regression/general.html">
- <a href="../regression/e2006.html">
+ <a href="../regression/general.html">
<b>8.1.</b>
- E2006-tfidf regression
+ Regression
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="8.2" data-path="../regression/e2006.html">
+
+ <a href="../regression/e2006.html">
+
+
+ <b>8.2.</b>
+
+ E2006-tfidf regression tutorial
</a>
@@ -1339,12 +1375,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.1.1" data-path="../regression/e2006_dataset.html">
+ <li class="chapter " data-level="8.2.1" data-path="../regression/e2006_dataset.html">
<a href="../regression/e2006_dataset.html">
- <b>8.1.1.</b>
+ <b>8.2.1.</b>
Data preparation
@@ -1354,12 +1390,12 @@
</li>
- <li class="chapter " data-level="8.1.2" data-path="../regression/e2006_arow.html">
+ <li class="chapter " data-level="8.2.2" data-path="../regression/e2006_arow.html">
<a href="../regression/e2006_arow.html">
- <b>8.1.2.</b>
+ <b>8.2.2.</b>
Passive Aggressive, AROW
@@ -1374,14 +1410,14 @@
</li>
- <li class="chapter " data-level="8.2" data-path="../regression/kddcup12tr2.html">
+ <li class="chapter " data-level="8.3" data-path="../regression/kddcup12tr2.html">
<a href="../regression/kddcup12tr2.html">
- <b>8.2.</b>
+ <b>8.3.</b>
- KDDCup 2012 track 2 CTR prediction
+ KDDCup 2012 track 2 CTR prediction tutorial
</a>
@@ -1390,12 +1426,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.2.1" data-path="../regression/kddcup12tr2_dataset.html">
+ <li class="chapter " data-level="8.3.1" data-path="../regression/kddcup12tr2_dataset.html">
<a href="../regression/kddcup12tr2_dataset.html">
- <b>8.2.1.</b>
+ <b>8.3.1.</b>
Data preparation
@@ -1405,12 +1441,12 @@
</li>
- <li class="chapter " data-level="8.2.2" data-path="../regression/kddcup12tr2_lr.html">
+ <li class="chapter " data-level="8.3.2" data-path="../regression/kddcup12tr2_lr.html">
<a href="../regression/kddcup12tr2_lr.html">
- <b>8.2.2.</b>
+ <b>8.3.2.</b>
Logistic Regression, Passive Aggressive
@@ -1420,12 +1456,12 @@
</li>
- <li class="chapter " data-level="8.2.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
+ <li class="chapter " data-level="8.3.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
<a href="../regression/kddcup12tr2_lr_amplify.html">
- <b>8.2.3.</b>
+ <b>8.3.3.</b>
Logistic Regression with Amplifier
@@ -1435,12 +1471,12 @@
</li>
- <li class="chapter " data-level="8.2.4" data-path="../regression/kddcup12tr2_adagrad.html">
+ <li class="chapter " data-level="8.3.4" data-path="../regression/kddcup12tr2_adagrad.html">
<a href="../regression/kddcup12tr2_adagrad.html">
- <b>8.2.4.</b>
+ <b>8.3.4.</b>
AdaGrad, AdaDelta
@@ -2298,7 +2334,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
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http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/ba518dab/userguide/anomaly/sst.html
----------------------------------------------------------------------
diff --git a/userguide/anomaly/sst.html b/userguide/anomaly/sst.html
index ba44d4a..e320cf8 100644
--- a/userguide/anomaly/sst.html
+++ b/userguide/anomaly/sst.html
@@ -598,14 +598,30 @@
</li>
- <li class="chapter " data-level="3.5" data-path="../ft_engineering/tfidf.html">
+ <li class="chapter " data-level="3.5" data-path="../ft_engineering/pairing.html">
- <a href="../ft_engineering/tfidf.html">
+ <a href="../ft_engineering/pairing.html">
<b>3.5.</b>
- TF-IDF Calculation
+ FEATURE PAIRING
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="3.5.1" data-path="../ft_engineering/polynomial.html">
+
+ <a href="../ft_engineering/polynomial.html">
+
+
+ <b>3.5.1.</b>
+
+ Polynomial Features
</a>
@@ -613,6 +629,11 @@
</li>
+
+ </ul>
+
+ </li>
+
<li class="chapter " data-level="3.6" data-path="../ft_engineering/ft_trans.html">
<a href="../ft_engineering/ft_trans.html">
@@ -664,6 +685,21 @@
</li>
+ <li class="chapter " data-level="3.7" data-path="../ft_engineering/tfidf.html">
+
+ <a href="../ft_engineering/tfidf.html">
+
+
+ <b>3.7.</b>
+
+ TF-IDF Calculation
+
+ </a>
+
+
+
+ </li>
+
@@ -761,7 +797,7 @@
- <li class="header">Part V - Prediction</li>
+ <li class="header">Part V - Supervised Learning</li>
@@ -780,27 +816,19 @@
</li>
- <li class="chapter " data-level="5.2" data-path="../regression/general.html">
-
- <a href="../regression/general.html">
-
-
- <b>5.2.</b>
-
- Regression
-
- </a>
-
-
- </li>
- <li class="chapter " data-level="5.3" data-path="../binaryclass/general.html">
+
+ <li class="header">Part VI - Binary classification</li>
+
+
+
+ <li class="chapter " data-level="6.1" data-path="../binaryclass/general.html">
<a href="../binaryclass/general.html">
- <b>5.3.</b>
+ <b>6.1.</b>
Binary Classification
@@ -810,21 +838,14 @@
</li>
-
-
-
- <li class="header">Part VI - Binary classification tutorials</li>
-
-
-
- <li class="chapter " data-level="6.1" data-path="../binaryclass/a9a.html">
+ <li class="chapter " data-level="6.2" data-path="../binaryclass/a9a.html">
<a href="../binaryclass/a9a.html">
- <b>6.1.</b>
+ <b>6.2.</b>
- a9a
+ a9a tutorial
</a>
@@ -833,12 +854,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.1.1" data-path="../binaryclass/a9a_dataset.html">
+ <li class="chapter " data-level="6.2.1" data-path="../binaryclass/a9a_dataset.html">
<a href="../binaryclass/a9a_dataset.html">
- <b>6.1.1.</b>
+ <b>6.2.1.</b>
Data preparation
@@ -848,12 +869,12 @@
</li>
- <li class="chapter " data-level="6.1.2" data-path="../binaryclass/a9a_lr.html">
+ <li class="chapter " data-level="6.2.2" data-path="../binaryclass/a9a_lr.html">
<a href="../binaryclass/a9a_lr.html">
- <b>6.1.2.</b>
+ <b>6.2.2.</b>
Logistic Regression
@@ -863,12 +884,12 @@
</li>
- <li class="chapter " data-level="6.1.3" data-path="../binaryclass/a9a_minibatch.html">
+ <li class="chapter " data-level="6.2.3" data-path="../binaryclass/a9a_minibatch.html">
<a href="../binaryclass/a9a_minibatch.html">
- <b>6.1.3.</b>
+ <b>6.2.3.</b>
Mini-batch Gradient Descent
@@ -883,14 +904,14 @@
</li>
- <li class="chapter " data-level="6.2" data-path="../binaryclass/news20.html">
+ <li class="chapter " data-level="6.3" data-path="../binaryclass/news20.html">
<a href="../binaryclass/news20.html">
- <b>6.2.</b>
+ <b>6.3.</b>
- News20
+ News20 tutorial
</a>
@@ -899,12 +920,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.2.1" data-path="../binaryclass/news20_dataset.html">
+ <li class="chapter " data-level="6.3.1" data-path="../binaryclass/news20_dataset.html">
<a href="../binaryclass/news20_dataset.html">
- <b>6.2.1.</b>
+ <b>6.3.1.</b>
Data preparation
@@ -914,12 +935,12 @@
</li>
- <li class="chapter " data-level="6.2.2" data-path="../binaryclass/news20_pa.html">
+ <li class="chapter " data-level="6.3.2" data-path="../binaryclass/news20_pa.html">
<a href="../binaryclass/news20_pa.html">
- <b>6.2.2.</b>
+ <b>6.3.2.</b>
Perceptron, Passive Aggressive
@@ -929,12 +950,12 @@
</li>
- <li class="chapter " data-level="6.2.3" data-path="../binaryclass/news20_scw.html">
+ <li class="chapter " data-level="6.3.3" data-path="../binaryclass/news20_scw.html">
<a href="../binaryclass/news20_scw.html">
- <b>6.2.3.</b>
+ <b>6.3.3.</b>
CW, AROW, SCW
@@ -944,12 +965,12 @@
</li>
- <li class="chapter " data-level="6.2.4" data-path="../binaryclass/news20_adagrad.html">
+ <li class="chapter " data-level="6.3.4" data-path="../binaryclass/news20_adagrad.html">
<a href="../binaryclass/news20_adagrad.html">
- <b>6.2.4.</b>
+ <b>6.3.4.</b>
AdaGradRDA, AdaGrad, AdaDelta
@@ -964,14 +985,14 @@
</li>
- <li class="chapter " data-level="6.3" data-path="../binaryclass/kdd2010a.html">
+ <li class="chapter " data-level="6.4" data-path="../binaryclass/kdd2010a.html">
<a href="../binaryclass/kdd2010a.html">
- <b>6.3.</b>
+ <b>6.4.</b>
- KDD2010a
+ KDD2010a tutorial
</a>
@@ -980,12 +1001,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.3.1" data-path="../binaryclass/kdd2010a_dataset.html">
+ <li class="chapter " data-level="6.4.1" data-path="../binaryclass/kdd2010a_dataset.html">
<a href="../binaryclass/kdd2010a_dataset.html">
- <b>6.3.1.</b>
+ <b>6.4.1.</b>
Data preparation
@@ -995,12 +1016,12 @@
</li>
- <li class="chapter " data-level="6.3.2" data-path="../binaryclass/kdd2010a_scw.html">
+ <li class="chapter " data-level="6.4.2" data-path="../binaryclass/kdd2010a_scw.html">
<a href="../binaryclass/kdd2010a_scw.html">
- <b>6.3.2.</b>
+ <b>6.4.2.</b>
PA, CW, AROW, SCW
@@ -1015,14 +1036,14 @@
</li>
- <li class="chapter " data-level="6.4" data-path="../binaryclass/kdd2010b.html">
+ <li class="chapter " data-level="6.5" data-path="../binaryclass/kdd2010b.html">
<a href="../binaryclass/kdd2010b.html">
- <b>6.4.</b>
+ <b>6.5.</b>
- KDD2010b
+ KDD2010b tutorial
</a>
@@ -1031,12 +1052,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.4.1" data-path="../binaryclass/kdd2010b_dataset.html">
+ <li class="chapter " data-level="6.5.1" data-path="../binaryclass/kdd2010b_dataset.html">
<a href="../binaryclass/kdd2010b_dataset.html">
- <b>6.4.1.</b>
+ <b>6.5.1.</b>
Data preparation
@@ -1046,12 +1067,12 @@
</li>
- <li class="chapter " data-level="6.4.2" data-path="../binaryclass/kdd2010b_arow.html">
+ <li class="chapter " data-level="6.5.2" data-path="../binaryclass/kdd2010b_arow.html">
<a href="../binaryclass/kdd2010b_arow.html">
- <b>6.4.2.</b>
+ <b>6.5.2.</b>
AROW
@@ -1066,14 +1087,14 @@
</li>
- <li class="chapter " data-level="6.5" data-path="../binaryclass/webspam.html">
+ <li class="chapter " data-level="6.6" data-path="../binaryclass/webspam.html">
<a href="../binaryclass/webspam.html">
- <b>6.5.</b>
+ <b>6.6.</b>
- Webspam
+ Webspam tutorial
</a>
@@ -1082,12 +1103,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.5.1" data-path="../binaryclass/webspam_dataset.html">
+ <li class="chapter " data-level="6.6.1" data-path="../binaryclass/webspam_dataset.html">
<a href="../binaryclass/webspam_dataset.html">
- <b>6.5.1.</b>
+ <b>6.6.1.</b>
Data pareparation
@@ -1097,12 +1118,12 @@
</li>
- <li class="chapter " data-level="6.5.2" data-path="../binaryclass/webspam_scw.html">
+ <li class="chapter " data-level="6.6.2" data-path="../binaryclass/webspam_scw.html">
<a href="../binaryclass/webspam_scw.html">
- <b>6.5.2.</b>
+ <b>6.6.2.</b>
PA1, AROW, SCW
@@ -1117,14 +1138,14 @@
</li>
- <li class="chapter " data-level="6.6" data-path="../binaryclass/titanic_rf.html">
+ <li class="chapter " data-level="6.7" data-path="../binaryclass/titanic_rf.html">
<a href="../binaryclass/titanic_rf.html">
- <b>6.6.</b>
+ <b>6.7.</b>
- Kaggle Titanic
+ Kaggle Titanic tutorial
</a>
@@ -1135,7 +1156,7 @@
- <li class="header">Part VII - Multiclass classification tutorials</li>
+ <li class="header">Part VII - Multiclass classification</li>
@@ -1146,7 +1167,7 @@
<b>7.1.</b>
- News20 Multiclass
+ News20 Multiclass tutorial
</a>
@@ -1257,7 +1278,7 @@
<b>7.2.</b>
- Iris
+ Iris tutorial
</a>
@@ -1319,18 +1340,33 @@
- <li class="header">Part VIII - Regression tutorials</li>
+ <li class="header">Part VIII - Regression</li>
- <li class="chapter " data-level="8.1" data-path="../regression/e2006.html">
+ <li class="chapter " data-level="8.1" data-path="../regression/general.html">
- <a href="../regression/e2006.html">
+ <a href="../regression/general.html">
<b>8.1.</b>
- E2006-tfidf regression
+ Regression
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="8.2" data-path="../regression/e2006.html">
+
+ <a href="../regression/e2006.html">
+
+
+ <b>8.2.</b>
+
+ E2006-tfidf regression tutorial
</a>
@@ -1339,12 +1375,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.1.1" data-path="../regression/e2006_dataset.html">
+ <li class="chapter " data-level="8.2.1" data-path="../regression/e2006_dataset.html">
<a href="../regression/e2006_dataset.html">
- <b>8.1.1.</b>
+ <b>8.2.1.</b>
Data preparation
@@ -1354,12 +1390,12 @@
</li>
- <li class="chapter " data-level="8.1.2" data-path="../regression/e2006_arow.html">
+ <li class="chapter " data-level="8.2.2" data-path="../regression/e2006_arow.html">
<a href="../regression/e2006_arow.html">
- <b>8.1.2.</b>
+ <b>8.2.2.</b>
Passive Aggressive, AROW
@@ -1374,14 +1410,14 @@
</li>
- <li class="chapter " data-level="8.2" data-path="../regression/kddcup12tr2.html">
+ <li class="chapter " data-level="8.3" data-path="../regression/kddcup12tr2.html">
<a href="../regression/kddcup12tr2.html">
- <b>8.2.</b>
+ <b>8.3.</b>
- KDDCup 2012 track 2 CTR prediction
+ KDDCup 2012 track 2 CTR prediction tutorial
</a>
@@ -1390,12 +1426,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.2.1" data-path="../regression/kddcup12tr2_dataset.html">
+ <li class="chapter " data-level="8.3.1" data-path="../regression/kddcup12tr2_dataset.html">
<a href="../regression/kddcup12tr2_dataset.html">
- <b>8.2.1.</b>
+ <b>8.3.1.</b>
Data preparation
@@ -1405,12 +1441,12 @@
</li>
- <li class="chapter " data-level="8.2.2" data-path="../regression/kddcup12tr2_lr.html">
+ <li class="chapter " data-level="8.3.2" data-path="../regression/kddcup12tr2_lr.html">
<a href="../regression/kddcup12tr2_lr.html">
- <b>8.2.2.</b>
+ <b>8.3.2.</b>
Logistic Regression, Passive Aggressive
@@ -1420,12 +1456,12 @@
</li>
- <li class="chapter " data-level="8.2.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
+ <li class="chapter " data-level="8.3.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
<a href="../regression/kddcup12tr2_lr_amplify.html">
- <b>8.2.3.</b>
+ <b>8.3.3.</b>
Logistic Regression with Amplifier
@@ -1435,12 +1471,12 @@
</li>
- <li class="chapter " data-level="8.2.4" data-path="../regression/kddcup12tr2_adagrad.html">
+ <li class="chapter " data-level="8.3.4" data-path="../regression/kddcup12tr2_adagrad.html">
<a href="../regression/kddcup12tr2_adagrad.html">
- <b>8.2.4.</b>
+ <b>8.3.4.</b>
AdaGrad, AdaDelta
@@ -2306,7 +2342,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
<script>
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[31/41] incubator-hivemall-site git commit: Added descriptions about
Feature Pairing in the user guide
Posted by my...@apache.org.
http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/ba518dab/userguide/eval/rank.html
----------------------------------------------------------------------
diff --git a/userguide/eval/rank.html b/userguide/eval/rank.html
index fba33ca..6179e90 100644
--- a/userguide/eval/rank.html
+++ b/userguide/eval/rank.html
@@ -598,14 +598,30 @@
</li>
- <li class="chapter " data-level="3.5" data-path="../ft_engineering/tfidf.html">
+ <li class="chapter " data-level="3.5" data-path="../ft_engineering/pairing.html">
- <a href="../ft_engineering/tfidf.html">
+ <a href="../ft_engineering/pairing.html">
<b>3.5.</b>
- TF-IDF Calculation
+ FEATURE PAIRING
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="3.5.1" data-path="../ft_engineering/polynomial.html">
+
+ <a href="../ft_engineering/polynomial.html">
+
+
+ <b>3.5.1.</b>
+
+ Polynomial Features
</a>
@@ -613,6 +629,11 @@
</li>
+
+ </ul>
+
+ </li>
+
<li class="chapter " data-level="3.6" data-path="../ft_engineering/ft_trans.html">
<a href="../ft_engineering/ft_trans.html">
@@ -664,6 +685,21 @@
</li>
+ <li class="chapter " data-level="3.7" data-path="../ft_engineering/tfidf.html">
+
+ <a href="../ft_engineering/tfidf.html">
+
+
+ <b>3.7.</b>
+
+ TF-IDF Calculation
+
+ </a>
+
+
+
+ </li>
+
@@ -761,7 +797,7 @@
- <li class="header">Part V - Prediction</li>
+ <li class="header">Part V - Supervised Learning</li>
@@ -780,27 +816,19 @@
</li>
- <li class="chapter " data-level="5.2" data-path="../regression/general.html">
-
- <a href="../regression/general.html">
-
-
- <b>5.2.</b>
-
- Regression
-
- </a>
-
-
- </li>
- <li class="chapter " data-level="5.3" data-path="../binaryclass/general.html">
+
+ <li class="header">Part VI - Binary classification</li>
+
+
+
+ <li class="chapter " data-level="6.1" data-path="../binaryclass/general.html">
<a href="../binaryclass/general.html">
- <b>5.3.</b>
+ <b>6.1.</b>
Binary Classification
@@ -810,21 +838,14 @@
</li>
-
-
-
- <li class="header">Part VI - Binary classification tutorials</li>
-
-
-
- <li class="chapter " data-level="6.1" data-path="../binaryclass/a9a.html">
+ <li class="chapter " data-level="6.2" data-path="../binaryclass/a9a.html">
<a href="../binaryclass/a9a.html">
- <b>6.1.</b>
+ <b>6.2.</b>
- a9a
+ a9a tutorial
</a>
@@ -833,12 +854,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.1.1" data-path="../binaryclass/a9a_dataset.html">
+ <li class="chapter " data-level="6.2.1" data-path="../binaryclass/a9a_dataset.html">
<a href="../binaryclass/a9a_dataset.html">
- <b>6.1.1.</b>
+ <b>6.2.1.</b>
Data preparation
@@ -848,12 +869,12 @@
</li>
- <li class="chapter " data-level="6.1.2" data-path="../binaryclass/a9a_lr.html">
+ <li class="chapter " data-level="6.2.2" data-path="../binaryclass/a9a_lr.html">
<a href="../binaryclass/a9a_lr.html">
- <b>6.1.2.</b>
+ <b>6.2.2.</b>
Logistic Regression
@@ -863,12 +884,12 @@
</li>
- <li class="chapter " data-level="6.1.3" data-path="../binaryclass/a9a_minibatch.html">
+ <li class="chapter " data-level="6.2.3" data-path="../binaryclass/a9a_minibatch.html">
<a href="../binaryclass/a9a_minibatch.html">
- <b>6.1.3.</b>
+ <b>6.2.3.</b>
Mini-batch Gradient Descent
@@ -883,14 +904,14 @@
</li>
- <li class="chapter " data-level="6.2" data-path="../binaryclass/news20.html">
+ <li class="chapter " data-level="6.3" data-path="../binaryclass/news20.html">
<a href="../binaryclass/news20.html">
- <b>6.2.</b>
+ <b>6.3.</b>
- News20
+ News20 tutorial
</a>
@@ -899,12 +920,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.2.1" data-path="../binaryclass/news20_dataset.html">
+ <li class="chapter " data-level="6.3.1" data-path="../binaryclass/news20_dataset.html">
<a href="../binaryclass/news20_dataset.html">
- <b>6.2.1.</b>
+ <b>6.3.1.</b>
Data preparation
@@ -914,12 +935,12 @@
</li>
- <li class="chapter " data-level="6.2.2" data-path="../binaryclass/news20_pa.html">
+ <li class="chapter " data-level="6.3.2" data-path="../binaryclass/news20_pa.html">
<a href="../binaryclass/news20_pa.html">
- <b>6.2.2.</b>
+ <b>6.3.2.</b>
Perceptron, Passive Aggressive
@@ -929,12 +950,12 @@
</li>
- <li class="chapter " data-level="6.2.3" data-path="../binaryclass/news20_scw.html">
+ <li class="chapter " data-level="6.3.3" data-path="../binaryclass/news20_scw.html">
<a href="../binaryclass/news20_scw.html">
- <b>6.2.3.</b>
+ <b>6.3.3.</b>
CW, AROW, SCW
@@ -944,12 +965,12 @@
</li>
- <li class="chapter " data-level="6.2.4" data-path="../binaryclass/news20_adagrad.html">
+ <li class="chapter " data-level="6.3.4" data-path="../binaryclass/news20_adagrad.html">
<a href="../binaryclass/news20_adagrad.html">
- <b>6.2.4.</b>
+ <b>6.3.4.</b>
AdaGradRDA, AdaGrad, AdaDelta
@@ -964,14 +985,14 @@
</li>
- <li class="chapter " data-level="6.3" data-path="../binaryclass/kdd2010a.html">
+ <li class="chapter " data-level="6.4" data-path="../binaryclass/kdd2010a.html">
<a href="../binaryclass/kdd2010a.html">
- <b>6.3.</b>
+ <b>6.4.</b>
- KDD2010a
+ KDD2010a tutorial
</a>
@@ -980,12 +1001,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.3.1" data-path="../binaryclass/kdd2010a_dataset.html">
+ <li class="chapter " data-level="6.4.1" data-path="../binaryclass/kdd2010a_dataset.html">
<a href="../binaryclass/kdd2010a_dataset.html">
- <b>6.3.1.</b>
+ <b>6.4.1.</b>
Data preparation
@@ -995,12 +1016,12 @@
</li>
- <li class="chapter " data-level="6.3.2" data-path="../binaryclass/kdd2010a_scw.html">
+ <li class="chapter " data-level="6.4.2" data-path="../binaryclass/kdd2010a_scw.html">
<a href="../binaryclass/kdd2010a_scw.html">
- <b>6.3.2.</b>
+ <b>6.4.2.</b>
PA, CW, AROW, SCW
@@ -1015,14 +1036,14 @@
</li>
- <li class="chapter " data-level="6.4" data-path="../binaryclass/kdd2010b.html">
+ <li class="chapter " data-level="6.5" data-path="../binaryclass/kdd2010b.html">
<a href="../binaryclass/kdd2010b.html">
- <b>6.4.</b>
+ <b>6.5.</b>
- KDD2010b
+ KDD2010b tutorial
</a>
@@ -1031,12 +1052,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.4.1" data-path="../binaryclass/kdd2010b_dataset.html">
+ <li class="chapter " data-level="6.5.1" data-path="../binaryclass/kdd2010b_dataset.html">
<a href="../binaryclass/kdd2010b_dataset.html">
- <b>6.4.1.</b>
+ <b>6.5.1.</b>
Data preparation
@@ -1046,12 +1067,12 @@
</li>
- <li class="chapter " data-level="6.4.2" data-path="../binaryclass/kdd2010b_arow.html">
+ <li class="chapter " data-level="6.5.2" data-path="../binaryclass/kdd2010b_arow.html">
<a href="../binaryclass/kdd2010b_arow.html">
- <b>6.4.2.</b>
+ <b>6.5.2.</b>
AROW
@@ -1066,14 +1087,14 @@
</li>
- <li class="chapter " data-level="6.5" data-path="../binaryclass/webspam.html">
+ <li class="chapter " data-level="6.6" data-path="../binaryclass/webspam.html">
<a href="../binaryclass/webspam.html">
- <b>6.5.</b>
+ <b>6.6.</b>
- Webspam
+ Webspam tutorial
</a>
@@ -1082,12 +1103,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.5.1" data-path="../binaryclass/webspam_dataset.html">
+ <li class="chapter " data-level="6.6.1" data-path="../binaryclass/webspam_dataset.html">
<a href="../binaryclass/webspam_dataset.html">
- <b>6.5.1.</b>
+ <b>6.6.1.</b>
Data pareparation
@@ -1097,12 +1118,12 @@
</li>
- <li class="chapter " data-level="6.5.2" data-path="../binaryclass/webspam_scw.html">
+ <li class="chapter " data-level="6.6.2" data-path="../binaryclass/webspam_scw.html">
<a href="../binaryclass/webspam_scw.html">
- <b>6.5.2.</b>
+ <b>6.6.2.</b>
PA1, AROW, SCW
@@ -1117,14 +1138,14 @@
</li>
- <li class="chapter " data-level="6.6" data-path="../binaryclass/titanic_rf.html">
+ <li class="chapter " data-level="6.7" data-path="../binaryclass/titanic_rf.html">
<a href="../binaryclass/titanic_rf.html">
- <b>6.6.</b>
+ <b>6.7.</b>
- Kaggle Titanic
+ Kaggle Titanic tutorial
</a>
@@ -1135,7 +1156,7 @@
- <li class="header">Part VII - Multiclass classification tutorials</li>
+ <li class="header">Part VII - Multiclass classification</li>
@@ -1146,7 +1167,7 @@
<b>7.1.</b>
- News20 Multiclass
+ News20 Multiclass tutorial
</a>
@@ -1257,7 +1278,7 @@
<b>7.2.</b>
- Iris
+ Iris tutorial
</a>
@@ -1319,18 +1340,33 @@
- <li class="header">Part VIII - Regression tutorials</li>
+ <li class="header">Part VIII - Regression</li>
- <li class="chapter " data-level="8.1" data-path="../regression/e2006.html">
+ <li class="chapter " data-level="8.1" data-path="../regression/general.html">
- <a href="../regression/e2006.html">
+ <a href="../regression/general.html">
<b>8.1.</b>
- E2006-tfidf regression
+ Regression
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="8.2" data-path="../regression/e2006.html">
+
+ <a href="../regression/e2006.html">
+
+
+ <b>8.2.</b>
+
+ E2006-tfidf regression tutorial
</a>
@@ -1339,12 +1375,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.1.1" data-path="../regression/e2006_dataset.html">
+ <li class="chapter " data-level="8.2.1" data-path="../regression/e2006_dataset.html">
<a href="../regression/e2006_dataset.html">
- <b>8.1.1.</b>
+ <b>8.2.1.</b>
Data preparation
@@ -1354,12 +1390,12 @@
</li>
- <li class="chapter " data-level="8.1.2" data-path="../regression/e2006_arow.html">
+ <li class="chapter " data-level="8.2.2" data-path="../regression/e2006_arow.html">
<a href="../regression/e2006_arow.html">
- <b>8.1.2.</b>
+ <b>8.2.2.</b>
Passive Aggressive, AROW
@@ -1374,14 +1410,14 @@
</li>
- <li class="chapter " data-level="8.2" data-path="../regression/kddcup12tr2.html">
+ <li class="chapter " data-level="8.3" data-path="../regression/kddcup12tr2.html">
<a href="../regression/kddcup12tr2.html">
- <b>8.2.</b>
+ <b>8.3.</b>
- KDDCup 2012 track 2 CTR prediction
+ KDDCup 2012 track 2 CTR prediction tutorial
</a>
@@ -1390,12 +1426,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.2.1" data-path="../regression/kddcup12tr2_dataset.html">
+ <li class="chapter " data-level="8.3.1" data-path="../regression/kddcup12tr2_dataset.html">
<a href="../regression/kddcup12tr2_dataset.html">
- <b>8.2.1.</b>
+ <b>8.3.1.</b>
Data preparation
@@ -1405,12 +1441,12 @@
</li>
- <li class="chapter " data-level="8.2.2" data-path="../regression/kddcup12tr2_lr.html">
+ <li class="chapter " data-level="8.3.2" data-path="../regression/kddcup12tr2_lr.html">
<a href="../regression/kddcup12tr2_lr.html">
- <b>8.2.2.</b>
+ <b>8.3.2.</b>
Logistic Regression, Passive Aggressive
@@ -1420,12 +1456,12 @@
</li>
- <li class="chapter " data-level="8.2.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
+ <li class="chapter " data-level="8.3.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
<a href="../regression/kddcup12tr2_lr_amplify.html">
- <b>8.2.3.</b>
+ <b>8.3.3.</b>
Logistic Regression with Amplifier
@@ -1435,12 +1471,12 @@
</li>
- <li class="chapter " data-level="8.2.4" data-path="../regression/kddcup12tr2_adagrad.html">
+ <li class="chapter " data-level="8.3.4" data-path="../regression/kddcup12tr2_adagrad.html">
<a href="../regression/kddcup12tr2_adagrad.html">
- <b>8.2.4.</b>
+ <b>8.3.4.</b>
AdaGrad, AdaDelta
@@ -2220,7 +2256,7 @@
</tbody>
</table>
<p>How can we compare <code>dummy_rec</code> with <code>dummy_truth</code> to figure out the accuracy of <code>dummy_rec</code>?</p>
-<p>To be more precise, in case we built a recommender system, let a target user <span class="katex"><span class="katex-mathml"><math><semantics><mrow><mi>u</mi><mo>∈</mo><mrow><mi mathvariant="script">U</mi></mrow></mrow><annotation encoding="application/x-tex">u \in \mathcal{U}</annotation></semantics></math></span><span class="katex-html" aria-hidden="true"><span class="strut" style="height:0.68333em;"></span><span class="strut bottom" style="height:0.72243em;vertical-align:-0.0391em;"></span><span class="base textstyle uncramped"><span class="mord mathit">u</span><span class="mrel">∈</span><span class="mord textstyle uncramped"><span class="mord mathcal" style="margin-right:0.09931em;">U</span></span></span></span></span>, set of all items <span class="katex"><span class="katex-mathml"><math><semantics><mrow><mrow><mi mathvariant="script">I</mi></mrow></mrow><annotation encoding="application/x-tex">\mathcal{I}</annotation></semantics></math></span><span class="katex
-html" aria-hidden="true"><span class="strut" style="height:0.68333em;"></span><span class="strut bottom" style="height:0.68333em;vertical-align:0em;"></span><span class="base textstyle uncramped"><span class="mord textstyle uncramped"><span class="mord mathcal" style="margin-right:0.07382em;">I</span></span></span></span></span>, ordered set of top-k recommended items <span class="katex"><span class="katex-mathml"><math><semantics><mrow><msub><mi>I</mi><mi>k</mi></msub><mo>(</mo><mi>u</mi><mo>)</mo><mo>⊂</mo><mrow><mi mathvariant="script">I</mi></mrow></mrow><annotation encoding="application/x-tex">I_k(u) \subset \mathcal{I}</annotation></semantics></math></span><span class="katex-html" aria-hidden="true"><span class="strut" style="height:0.75em;"></span><span class="strut bottom" style="height:1em;vertical-align:-0.25em;"></span><span class="base textstyle uncramped"><span class="mord"><span class="mord mathit" style="margin-right:0.07847em;">I</span><span class="msupsub"><
span class="vlist"><span style="top:0.15em;margin-right:0.05em;margin-left:-0.07847em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="reset-textstyle scriptstyle cramped mtight"><span class="mord mathit mtight" style="margin-right:0.03148em;">k</span></span></span><span class="baseline-fix"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span>​</span></span></span></span><span class="mopen">(</span><span class="mord mathit">u</span><span class="mclose">)</span><span class="mrel">⊂</span><span class="mord textstyle uncramped"><span class="mord mathcal" style="margin-right:0.07382em;">I</span></span></span></span></span>, and set of truth items <span class="katex"><span class="katex-mathml"><math><semantics><mrow><msubsup><mrow><mi mathvariant="script">I</mi></mrow><mi>u</mi><mo>+</mo></msubsup></mrow><annotation encoding="application/x-tex">\mathcal{I}^+_u</
annotation></semantics></math></span><span class="katex-html" aria-hidden="true"><span class="strut" style="height:0.771331em;"></span><span class="strut bottom" style="height:1.0183309999999999em;vertical-align:-0.247em;"></span><span class="base textstyle uncramped"><span class="mord"><span class="mord textstyle uncramped"><span class="mord mathcal" style="margin-right:0.07382em;">I</span></span><span class="msupsub"><span class="vlist"><span style="top:0.247em;margin-right:0.05em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="reset-textstyle scriptstyle cramped mtight"><span class="mord mathit mtight">u</span></span></span><span style="top:-0.363em;margin-right:0.05em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="reset-textstyle scriptstyle uncramped mtight"><span class="mbin mtight">+</span></span></span><span class="baseline-fix"><span class="
fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span>​</span></span></span></span></span></span></span>. Hence, when we launch top-2 recommendation for the above tables, <span class="katex"><span class="katex-mathml"><math><semantics><mrow><mrow><mi mathvariant="script">U</mi></mrow><mo>=</mo><mo>{</mo><mn>1</mn><mo separator="true">,</mo><mn>2</mn><mo separator="true">,</mo><mn>3</mn><mo>}</mo></mrow><annotation encoding="application/x-tex">\mathcal{U} = \{1, 2, 3\}</annotation></semantics></math></span><span class="katex-html" aria-hidden="true"><span class="strut" style="height:0.75em;"></span><span class="strut bottom" style="height:1em;vertical-align:-0.25em;"></span><span class="base textstyle uncramped"><span class="mord textstyle uncramped"><span class="mord mathcal" style="margin-right:0.09931em;">U</span></span><span class="mrel">=</span><span class="mopen">{</span><span class="mord mathrm">1</span><span class="mpunct">,</span><span
class="mord mathrm">2</span><span class="mpunct">,</span><span class="mord mathrm">3</span><span class="mclose">}</span></span></span></span>, <span class="katex"><span class="katex-mathml"><math><semantics><mrow><mrow><mi mathvariant="script">I</mi></mrow><mo>=</mo><mo>{</mo><mn>1</mn><mo separator="true">,</mo><mn>2</mn><mo separator="true">,</mo><mn>3</mn><mo separator="true">,</mo><mn>4</mn><mo separator="true">,</mo><mn>5</mn><mo separator="true">,</mo><mn>6</mn><mo>}</mo></mrow><annotation encoding="application/x-tex">\mathcal{I} = \{1, 2, 3, 4, 5, 6\}</annotation></semantics></math></span><span class="katex-html" aria-hidden="true"><span class="strut" style="height:0.75em;"></span><span class="strut bottom" style="height:1em;vertical-align:-0.25em;"></span><span class="base textstyle uncramped"><span class="mord textstyle uncramped"><span class="mord mathcal" style="margin-right:0.07382em;">I</span></span><span class="mrel">=</span><span class="mopen">{</span><span class="mo
rd mathrm">1</span><span class="mpunct">,</span><span class="mord mathrm">2</span><span class="mpunct">,</span><span class="mord mathrm">3</span><span class="mpunct">,</span><span class="mord mathrm">4</span><span class="mpunct">,</span><span class="mord mathrm">5</span><span class="mpunct">,</span><span class="mord mathrm">6</span><span class="mclose">}</span></span></span></span> and <span class="katex"><span class="katex-mathml"><math><semantics><mrow><msub><mi>I</mi><mn>2</mn></msub><mo>(</mo><mi>u</mi><mo>)</mo><mo>=</mo><mo>{</mo><mn>1</mn><mo separator="true">,</mo><mn>3</mn><mo>}</mo></mrow><annotation encoding="application/x-tex">I_2(u) = \{1, 3\}</annotation></semantics></math></span><span class="katex-html" aria-hidden="true"><span class="strut" style="height:0.75em;"></span><span class="strut bottom" style="height:1em;vertical-align:-0.25em;"></span><span class="base textstyle uncramped"><span class="mord"><span class="mord mathit" style="margin-right:0.07847em;">I</span
><span class="msupsub"><span class="vlist"><span style="top:0.15em;margin-right:0.05em;margin-left:-0.07847em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="reset-textstyle scriptstyle cramped mtight"><span class="mord mathrm mtight">2</span></span></span><span class="baseline-fix"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span>​</span></span></span></span><span class="mopen">(</span><span class="mord mathit">u</span><span class="mclose">)</span><span class="mrel">=</span><span class="mopen">{</span><span class="mord mathrm">1</span><span class="mpunct">,</span><span class="mord mathrm">3</span><span class="mclose">}</span></span></span></span> which consists of two highest-scored items, and <span class="katex"><span class="katex-mathml"><math><semantics><mrow><msubsup><mrow><mi mathvariant="script">I</mi></mrow><mi>u</mi><mo>+</mo></msubsup><mo>=</mo><mo>{
</mo><mn>1</mn><mo separator="true">,</mo><mn>2</mn><mo separator="true">,</mo><mn>4</mn><mo>}</mo></mrow><annotation encoding="application/x-tex">\mathcal{I}^+_u = \{1, 2, 4\}</annotation></semantics></math></span><span class="katex-html" aria-hidden="true"><span class="strut" style="height:0.771331em;"></span><span class="strut bottom" style="height:1.021331em;vertical-align:-0.25em;"></span><span class="base textstyle uncramped"><span class="mord"><span class="mord textstyle uncramped"><span class="mord mathcal" style="margin-right:0.07382em;">I</span></span><span class="msupsub"><span class="vlist"><span style="top:0.247em;margin-right:0.05em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="reset-textstyle scriptstyle cramped mtight"><span class="mord mathit mtight">u</span></span></span><span style="top:-0.363em;margin-right:0.05em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">&#
x200B;</span></span><span class="reset-textstyle scriptstyle uncramped mtight"><span class="mbin mtight">+</span></span></span><span class="baseline-fix"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span>​</span></span></span></span><span class="mrel">=</span><span class="mopen">{</span><span class="mord mathrm">1</span><span class="mpunct">,</span><span class="mord mathrm">2</span><span class="mpunct">,</span><span class="mord mathrm">4</span><span class="mclose">}</span></span></span></span>.</p>
+<p>To be more precise, in case we built a recommender system, let a target user <span class="katex"><span class="katex-mathml"><math><semantics><mrow><mi>u</mi><mo>∈</mo><mrow><mi mathvariant="script">U</mi></mrow></mrow><annotation encoding="application/x-tex">u \in \mathcal{U}</annotation></semantics></math></span><span class="katex-html" aria-hidden="true"><span class="strut" style="height:0.68333em;"></span><span class="strut bottom" style="height:0.72243em;vertical-align:-0.0391em;"></span><span class="base textstyle uncramped"><span class="mord mathit">u</span><span class="mrel">∈</span><span class="mord textstyle uncramped"><span class="mord mathcal" style="margin-right:0.09931em;">U</span></span></span></span></span>, set of all items <span class="katex"><span class="katex-mathml"><math><semantics><mrow><mrow><mi mathvariant="script">I</mi></mrow></mrow><annotation encoding="application/x-tex">\mathcal{I}</annotation></semantics></math></span><span class="katex
-html" aria-hidden="true"><span class="strut" style="height:0.68333em;"></span><span class="strut bottom" style="height:0.68333em;vertical-align:0em;"></span><span class="base textstyle uncramped"><span class="mord textstyle uncramped"><span class="mord mathcal" style="margin-right:0.07382em;">I</span></span></span></span></span>, ordered set of top-k recommended items <span class="katex"><span class="katex-mathml"><math><semantics><mrow><msub><mi>I</mi><mi>k</mi></msub><mo>(</mo><mi>u</mi><mo>)</mo><mo>⊂</mo><mrow><mi mathvariant="script">I</mi></mrow></mrow><annotation encoding="application/x-tex">I_k(u) \subset \mathcal{I}</annotation></semantics></math></span><span class="katex-html" aria-hidden="true"><span class="strut" style="height:0.75em;"></span><span class="strut bottom" style="height:1em;vertical-align:-0.25em;"></span><span class="base textstyle uncramped"><span class="mord"><span class="mord mathit" style="margin-right:0.07847em;">I</span><span class="vlist"><sp
an style="top:0.15em;margin-right:0.05em;margin-left:-0.07847em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="reset-textstyle scriptstyle cramped"><span class="mord mathit" style="margin-right:0.03148em;">k</span></span></span><span class="baseline-fix"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span>​</span></span></span><span class="mopen">(</span><span class="mord mathit">u</span><span class="mclose">)</span><span class="mrel">⊂</span><span class="mord textstyle uncramped"><span class="mord mathcal" style="margin-right:0.07382em;">I</span></span></span></span></span>, and set of truth items <span class="katex"><span class="katex-mathml"><math><semantics><mrow><msubsup><mrow><mi mathvariant="script">I</mi></mrow><mi>u</mi><mo>+</mo></msubsup></mrow><annotation encoding="application/x-tex">\mathcal{I}^+_u</annotation></semantics></math></span><span
class="katex-html" aria-hidden="true"><span class="strut" style="height:0.771331em;"></span><span class="strut bottom" style="height:1.0183309999999999em;vertical-align:-0.247em;"></span><span class="base textstyle uncramped"><span class=""><span class="mord textstyle uncramped"><span class="mord mathcal" style="margin-right:0.07382em;">I</span></span><span class="vlist"><span style="top:0.247em;margin-right:0.05em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="reset-textstyle scriptstyle cramped"><span class="mord mathit">u</span></span></span><span style="top:-0.363em;margin-right:0.05em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="reset-textstyle scriptstyle uncramped"><span class="mord">+</span></span></span><span class="baseline-fix"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span>​</
span></span></span></span></span></span>. Hence, when we launch top-2 recommendation for the above tables, <span class="katex"><span class="katex-mathml"><math><semantics><mrow><mrow><mi mathvariant="script">U</mi></mrow><mo>=</mo><mo>{</mo><mn>1</mn><mo separator="true">,</mo><mn>2</mn><mo separator="true">,</mo><mn>3</mn><mo>}</mo></mrow><annotation encoding="application/x-tex">\mathcal{U} = \{1, 2, 3\}</annotation></semantics></math></span><span class="katex-html" aria-hidden="true"><span class="strut" style="height:0.75em;"></span><span class="strut bottom" style="height:1em;vertical-align:-0.25em;"></span><span class="base textstyle uncramped"><span class="mord textstyle uncramped"><span class="mord mathcal" style="margin-right:0.09931em;">U</span></span><span class="mrel">=</span><span class="mopen">{</span><span class="mord mathrm">1</span><span class="mpunct">,</span><span class="mord mathrm">2</span><span class="mpunct">,</span><span class="mord mathrm">3</span><span class=
"mclose">}</span></span></span></span>, <span class="katex"><span class="katex-mathml"><math><semantics><mrow><mrow><mi mathvariant="script">I</mi></mrow><mo>=</mo><mo>{</mo><mn>1</mn><mo separator="true">,</mo><mn>2</mn><mo separator="true">,</mo><mn>3</mn><mo separator="true">,</mo><mn>4</mn><mo separator="true">,</mo><mn>5</mn><mo separator="true">,</mo><mn>6</mn><mo>}</mo></mrow><annotation encoding="application/x-tex">\mathcal{I} = \{1, 2, 3, 4, 5, 6\}</annotation></semantics></math></span><span class="katex-html" aria-hidden="true"><span class="strut" style="height:0.75em;"></span><span class="strut bottom" style="height:1em;vertical-align:-0.25em;"></span><span class="base textstyle uncramped"><span class="mord textstyle uncramped"><span class="mord mathcal" style="margin-right:0.07382em;">I</span></span><span class="mrel">=</span><span class="mopen">{</span><span class="mord mathrm">1</span><span class="mpunct">,</span><span class="mord mathrm">2</span><span class="mpunct">,
</span><span class="mord mathrm">3</span><span class="mpunct">,</span><span class="mord mathrm">4</span><span class="mpunct">,</span><span class="mord mathrm">5</span><span class="mpunct">,</span><span class="mord mathrm">6</span><span class="mclose">}</span></span></span></span> and <span class="katex"><span class="katex-mathml"><math><semantics><mrow><msub><mi>I</mi><mn>2</mn></msub><mo>(</mo><mi>u</mi><mo>)</mo><mo>=</mo><mo>{</mo><mn>1</mn><mo separator="true">,</mo><mn>3</mn><mo>}</mo></mrow><annotation encoding="application/x-tex">I_2(u) = \{1, 3\}</annotation></semantics></math></span><span class="katex-html" aria-hidden="true"><span class="strut" style="height:0.75em;"></span><span class="strut bottom" style="height:1em;vertical-align:-0.25em;"></span><span class="base textstyle uncramped"><span class="mord"><span class="mord mathit" style="margin-right:0.07847em;">I</span><span class="vlist"><span style="top:0.15em;margin-right:0.05em;margin-left:-0.07847em;"><span class="f
ontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="reset-textstyle scriptstyle cramped"><span class="mord mathrm">2</span></span></span><span class="baseline-fix"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span>​</span></span></span><span class="mopen">(</span><span class="mord mathit">u</span><span class="mclose">)</span><span class="mrel">=</span><span class="mopen">{</span><span class="mord mathrm">1</span><span class="mpunct">,</span><span class="mord mathrm">3</span><span class="mclose">}</span></span></span></span> which consists of two highest-scored items, and <span class="katex"><span class="katex-mathml"><math><semantics><mrow><msubsup><mrow><mi mathvariant="script">I</mi></mrow><mi>u</mi><mo>+</mo></msubsup><mo>=</mo><mo>{</mo><mn>1</mn><mo separator="true">,</mo><mn>2</mn><mo separator="true">,</mo><mn>4</mn><mo>}</mo></mrow><annotation encoding="application/x-tex">
\mathcal{I}^+_u = \{1, 2, 4\}</annotation></semantics></math></span><span class="katex-html" aria-hidden="true"><span class="strut" style="height:0.771331em;"></span><span class="strut bottom" style="height:1.021331em;vertical-align:-0.25em;"></span><span class="base textstyle uncramped"><span class=""><span class="mord textstyle uncramped"><span class="mord mathcal" style="margin-right:0.07382em;">I</span></span><span class="vlist"><span style="top:0.247em;margin-right:0.05em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="reset-textstyle scriptstyle cramped"><span class="mord mathit">u</span></span></span><span style="top:-0.363em;margin-right:0.05em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="reset-textstyle scriptstyle uncramped"><span class="mord">+</span></span></span><span class="baseline-fix"><span class="fontsize-ensurer reset-size5 size5
"><span style="font-size:0em;">​</span></span>​</span></span></span><span class="mrel">=</span><span class="mopen">{</span><span class="mord mathrm">1</span><span class="mpunct">,</span><span class="mord mathrm">2</span><span class="mpunct">,</span><span class="mord mathrm">4</span><span class="mclose">}</span></span></span></span>.</p>
<p>Evaluation of the ordered sets can be done by the following query:</p>
<pre><code class="lang-sql">with truth as (
<span class="hljs-keyword">select</span> userid, collect_set(itemid) <span class="hljs-keyword">as</span> truth
@@ -2312,43 +2348,43 @@ rec <span class="hljs-keyword">as</span> (
<p><strong>Recall-at-k (Recall@k)</strong> indicates coverage of truth samples as a result of top-k recommendation. The value is computed by the following equation:
<span class="katex-display"><span class="katex"><span class="katex-mathml"><math><semantics><mrow><mrow><mi mathvariant="normal">R</mi><mi mathvariant="normal">e</mi><mi mathvariant="normal">c</mi><mi mathvariant="normal">a</mi><mi mathvariant="normal">l</mi><mi mathvariant="normal">l</mi><mi mathvariant="normal">@</mi></mrow><mi>k</mi><mo>=</mo><mfrac><mrow><mi mathvariant="normal">∣</mi><msubsup><mrow><mi mathvariant="script">I</mi></mrow><mi>u</mi><mo>+</mo></msubsup><mo>∩</mo><msub><mi>I</mi><mi>k</mi></msub><mo>(</mo><mi>u</mi><mo>)</mo><mi mathvariant="normal">∣</mi></mrow><mrow><mi mathvariant="normal">∣</mi><msubsup><mrow><mi mathvariant="script">I</mi></mrow><mi>u</mi><mo>+</mo></msubsup><mi mathvariant="normal">∣</mi></mrow></mfrac><mi mathvariant="normal">.</mi></mrow><annotation encoding="application/x-tex">
\mathrm{Recall@}k = \frac{|\mathcal{I}^+_u \cap I_k(u)|}{|\mathcal{I}^+_u|}.
-</annotation></semantics></math></span><span class="katex-html" aria-hidden="true"><span class="strut" style="height:1.448331em;"></span><span class="strut bottom" style="height:2.384331em;vertical-align:-0.936em;"></span><span class="base displaystyle textstyle uncramped"><span class="mord displaystyle textstyle uncramped"><span class="mord mathrm">R</span><span class="mord mathrm">e</span><span class="mord mathrm">c</span><span class="mord mathrm">a</span><span class="mord mathrm">l</span><span class="mord mathrm">l</span><span class="mord mathrm">@</span></span><span class="mord mathit" style="margin-right:0.03148em;">k</span><span class="mrel">=</span><span class="mord reset-textstyle displaystyle textstyle uncramped"><span class="mopen sizing reset-size5 size5 reset-textstyle textstyle uncramped nulldelimiter"></span><span class="mfrac"><span class="vlist"><span style="top:0.686em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></s
pan><span class="reset-textstyle textstyle cramped"><span class="mord textstyle cramped"><span class="mord mathrm">∣</span><span class="mord"><span class="mord textstyle cramped"><span class="mord mathcal" style="margin-right:0.07382em;">I</span></span><span class="msupsub"><span class="vlist"><span style="top:0.247em;margin-right:0.05em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="reset-textstyle scriptstyle cramped mtight"><span class="mord mathit mtight">u</span></span></span><span style="top:-0.28900000000000003em;margin-right:0.05em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="reset-textstyle scriptstyle cramped mtight"><span class="mbin mtight">+</span></span></span><span class="baseline-fix"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span>​</span></span></span></span><span
class="mord mathrm">∣</span></span></span></span><span style="top:-0.2300000000000001em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="reset-textstyle textstyle uncramped frac-line"></span></span><span style="top:-0.677em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="reset-textstyle textstyle uncramped"><span class="mord textstyle uncramped"><span class="mord mathrm">∣</span><span class="mord"><span class="mord textstyle uncramped"><span class="mord mathcal" style="margin-right:0.07382em;">I</span></span><span class="msupsub"><span class="vlist"><span style="top:0.247em;margin-right:0.05em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="reset-textstyle scriptstyle cramped mtight"><span class="mord mathit mtight">u</span></span></span><span style="top:-0.363em;margin-ri
ght:0.05em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="reset-textstyle scriptstyle uncramped mtight"><span class="mbin mtight">+</span></span></span><span class="baseline-fix"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span>​</span></span></span></span><span class="mbin">∩</span><span class="mord"><span class="mord mathit" style="margin-right:0.07847em;">I</span><span class="msupsub"><span class="vlist"><span style="top:0.15em;margin-right:0.05em;margin-left:-0.07847em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="reset-textstyle scriptstyle cramped mtight"><span class="mord mathit mtight" style="margin-right:0.03148em;">k</span></span></span><span class="baseline-fix"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span>​</spa
n></span></span></span><span class="mopen">(</span><span class="mord mathit">u</span><span class="mclose">)</span><span class="mord mathrm">∣</span></span></span></span><span class="baseline-fix"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span>​</span></span></span><span class="mclose sizing reset-size5 size5 reset-textstyle textstyle uncramped nulldelimiter"></span></span><span class="mord mathrm">.</span></span></span></span></span>
-Here, <span class="katex"><span class="katex-mathml"><math><semantics><mrow><mi mathvariant="normal">∣</mi><msubsup><mrow><mi mathvariant="script">I</mi></mrow><mi>u</mi><mo>+</mo></msubsup><mo>∩</mo><msub><mi>I</mi><mi>k</mi></msub><mo>(</mo><mi>u</mi><mo>)</mo><mi mathvariant="normal">∣</mi></mrow><annotation encoding="application/x-tex">|\mathcal{I}^+_u \cap I_k(u)|</annotation></semantics></math></span><span class="katex-html" aria-hidden="true"><span class="strut" style="height:0.771331em;"></span><span class="strut bottom" style="height:1.021331em;vertical-align:-0.25em;"></span><span class="base textstyle uncramped"><span class="mord mathrm">∣</span><span class="mord"><span class="mord textstyle uncramped"><span class="mord mathcal" style="margin-right:0.07382em;">I</span></span><span class="msupsub"><span class="vlist"><span style="top:0.247em;margin-right:0.05em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;"> 
0B;</span></span><span class="reset-textstyle scriptstyle cramped mtight"><span class="mord mathit mtight">u</span></span></span><span style="top:-0.363em;margin-right:0.05em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="reset-textstyle scriptstyle uncramped mtight"><span class="mbin mtight">+</span></span></span><span class="baseline-fix"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span>​</span></span></span></span><span class="mbin">∩</span><span class="mord"><span class="mord mathit" style="margin-right:0.07847em;">I</span><span class="msupsub"><span class="vlist"><span style="top:0.15em;margin-right:0.05em;margin-left:-0.07847em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="reset-textstyle scriptstyle cramped mtight"><span class="mord mathit mtight" style="margin-right:0.03148em;
">k</span></span></span><span class="baseline-fix"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span>​</span></span></span></span><span class="mopen">(</span><span class="mord mathit">u</span><span class="mclose">)</span><span class="mord mathrm">∣</span></span></span></span> is the number of true positives. If <span class="katex"><span class="katex-mathml"><math><semantics><mrow><msub><mi>I</mi><mn>2</mn></msub><mo>(</mo><mi>u</mi><mo>)</mo><mo>=</mo><mo>{</mo><mn>1</mn><mo separator="true">,</mo><mn>3</mn><mo>}</mo></mrow><annotation encoding="application/x-tex">I_2(u) = \{1, 3\}</annotation></semantics></math></span><span class="katex-html" aria-hidden="true"><span class="strut" style="height:0.75em;"></span><span class="strut bottom" style="height:1em;vertical-align:-0.25em;"></span><span class="base textstyle uncramped"><span class="mord"><span class="mord mathit" style="margin-right:0.07847em;">I</span><span class
="msupsub"><span class="vlist"><span style="top:0.15em;margin-right:0.05em;margin-left:-0.07847em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="reset-textstyle scriptstyle cramped mtight"><span class="mord mathrm mtight">2</span></span></span><span class="baseline-fix"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span>​</span></span></span></span><span class="mopen">(</span><span class="mord mathit">u</span><span class="mclose">)</span><span class="mrel">=</span><span class="mopen">{</span><span class="mord mathrm">1</span><span class="mpunct">,</span><span class="mord mathrm">3</span><span class="mclose">}</span></span></span></span> and <span class="katex"><span class="katex-mathml"><math><semantics><mrow><msubsup><mrow><mi mathvariant="script">I</mi></mrow><mi>u</mi><mo>+</mo></msubsup><mo>=</mo><mo>{</mo><mn>1</mn><mo separator="true">,</mo><mn>2</mn><mo
separator="true">,</mo><mn>4</mn><mo>}</mo></mrow><annotation encoding="application/x-tex">\mathcal{I}^+_u = \{1, 2, 4\}</annotation></semantics></math></span><span class="katex-html" aria-hidden="true"><span class="strut" style="height:0.771331em;"></span><span class="strut bottom" style="height:1.021331em;vertical-align:-0.25em;"></span><span class="base textstyle uncramped"><span class="mord"><span class="mord textstyle uncramped"><span class="mord mathcal" style="margin-right:0.07382em;">I</span></span><span class="msupsub"><span class="vlist"><span style="top:0.247em;margin-right:0.05em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="reset-textstyle scriptstyle cramped mtight"><span class="mord mathit mtight">u</span></span></span><span style="top:-0.363em;margin-right:0.05em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="reset-textstyle scripts
tyle uncramped mtight"><span class="mbin mtight">+</span></span></span><span class="baseline-fix"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span>​</span></span></span></span><span class="mrel">=</span><span class="mopen">{</span><span class="mord mathrm">1</span><span class="mpunct">,</span><span class="mord mathrm">2</span><span class="mpunct">,</span><span class="mord mathrm">4</span><span class="mclose">}</span></span></span></span>, <span class="katex"><span class="katex-mathml"><math><semantics><mrow><mrow><mi mathvariant="normal">R</mi><mi mathvariant="normal">e</mi><mi mathvariant="normal">c</mi><mi mathvariant="normal">a</mi><mi mathvariant="normal">l</mi><mi mathvariant="normal">l</mi><mi mathvariant="normal">@</mi></mrow><mn>2</mn><mo>=</mo><mn>1</mn><mi mathvariant="normal">/</mi><mn>3</mn><mo>≈</mo><mn>0</mn><mi mathvariant="normal">.</mi><mn>3</mn><mn>3</mn><mn>3</mn></mrow><annotation encoding="applicat
ion/x-tex">\mathrm{Recall@}2 = 1 / 3 \approx 0.333</annotation></semantics></math></span><span class="katex-html" aria-hidden="true"><span class="strut" style="height:0.75em;"></span><span class="strut bottom" style="height:1em;vertical-align:-0.25em;"></span><span class="base textstyle uncramped"><span class="mord textstyle uncramped"><span class="mord mathrm">R</span><span class="mord mathrm">e</span><span class="mord mathrm">c</span><span class="mord mathrm">a</span><span class="mord mathrm">l</span><span class="mord mathrm">l</span><span class="mord mathrm">@</span></span><span class="mord mathrm">2</span><span class="mrel">=</span><span class="mord mathrm">1</span><span class="mord mathrm">/</span><span class="mord mathrm">3</span><span class="mrel">≈</span><span class="mord mathrm">0</span><span class="mord mathrm">.</span><span class="mord mathrm">3</span><span class="mord mathrm">3</span><span class="mord mathrm">3</span></span></span></span>.</p>
+</annotation></semantics></math></span><span class="katex-html" aria-hidden="true"><span class="strut" style="height:1.448331em;"></span><span class="strut bottom" style="height:2.384331em;vertical-align:-0.936em;"></span><span class="base displaystyle textstyle uncramped"><span class="mord displaystyle textstyle uncramped"><span class="mord mathrm">R</span><span class="mord mathrm">e</span><span class="mord mathrm">c</span><span class="mord mathrm">a</span><span class="mord mathrm">l</span><span class="mord mathrm">l</span><span class="mord mathrm">@</span></span><span class="mord mathit" style="margin-right:0.03148em;">k</span><span class="mrel">=</span><span class="mord reset-textstyle displaystyle textstyle uncramped"><span class="sizing reset-size5 size5 reset-textstyle textstyle uncramped nulldelimiter"></span><span class="mfrac"><span class="vlist"><span style="top:0.686em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><s
pan class="reset-textstyle textstyle cramped"><span class="mord textstyle cramped"><span class="mord mathrm">∣</span><span class=""><span class="mord textstyle cramped"><span class="mord mathcal" style="margin-right:0.07382em;">I</span></span><span class="vlist"><span style="top:0.247em;margin-right:0.05em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="reset-textstyle scriptstyle cramped"><span class="mord mathit">u</span></span></span><span style="top:-0.29733em;margin-right:0.05em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="reset-textstyle scriptstyle cramped"><span class="mord">+</span></span></span><span class="baseline-fix"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span>​</span></span></span><span class="mord mathrm">∣</span></span></span></span><span style="top:-0.230
0000000000001em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="reset-textstyle textstyle uncramped frac-line"></span></span><span style="top:-0.677em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="reset-textstyle textstyle uncramped"><span class="mord textstyle uncramped"><span class="mord mathrm">∣</span><span class=""><span class="mord textstyle uncramped"><span class="mord mathcal" style="margin-right:0.07382em;">I</span></span><span class="vlist"><span style="top:0.247em;margin-right:0.05em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="reset-textstyle scriptstyle cramped"><span class="mord mathit">u</span></span></span><span style="top:-0.363em;margin-right:0.05em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span
class="reset-textstyle scriptstyle uncramped"><span class="mord">+</span></span></span><span class="baseline-fix"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span>​</span></span></span><span class="mbin">∩</span><span class="mord"><span class="mord mathit" style="margin-right:0.07847em;">I</span><span class="vlist"><span style="top:0.15em;margin-right:0.05em;margin-left:-0.07847em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="reset-textstyle scriptstyle cramped"><span class="mord mathit" style="margin-right:0.03148em;">k</span></span></span><span class="baseline-fix"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span>​</span></span></span><span class="mopen">(</span><span class="mord mathit">u</span><span class="mclose">)</span><span class="mord mathrm">∣</span></span></span></span><span c
lass="baseline-fix"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span>​</span></span></span><span class="sizing reset-size5 size5 reset-textstyle textstyle uncramped nulldelimiter"></span></span><span class="mord mathrm">.</span></span></span></span></span>
+Here, <span class="katex"><span class="katex-mathml"><math><semantics><mrow><mi mathvariant="normal">∣</mi><msubsup><mrow><mi mathvariant="script">I</mi></mrow><mi>u</mi><mo>+</mo></msubsup><mo>∩</mo><msub><mi>I</mi><mi>k</mi></msub><mo>(</mo><mi>u</mi><mo>)</mo><mi mathvariant="normal">∣</mi></mrow><annotation encoding="application/x-tex">|\mathcal{I}^+_u \cap I_k(u)|</annotation></semantics></math></span><span class="katex-html" aria-hidden="true"><span class="strut" style="height:0.771331em;"></span><span class="strut bottom" style="height:1.021331em;vertical-align:-0.25em;"></span><span class="base textstyle uncramped"><span class="mord mathrm">∣</span><span class=""><span class="mord textstyle uncramped"><span class="mord mathcal" style="margin-right:0.07382em;">I</span></span><span class="vlist"><span style="top:0.247em;margin-right:0.05em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span cla
ss="reset-textstyle scriptstyle cramped"><span class="mord mathit">u</span></span></span><span style="top:-0.363em;margin-right:0.05em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="reset-textstyle scriptstyle uncramped"><span class="mord">+</span></span></span><span class="baseline-fix"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span>​</span></span></span><span class="mbin">∩</span><span class="mord"><span class="mord mathit" style="margin-right:0.07847em;">I</span><span class="vlist"><span style="top:0.15em;margin-right:0.05em;margin-left:-0.07847em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="reset-textstyle scriptstyle cramped"><span class="mord mathit" style="margin-right:0.03148em;">k</span></span></span><span class="baseline-fix"><span class="fontsize-ensurer reset-size5 size
5"><span style="font-size:0em;">​</span></span>​</span></span></span><span class="mopen">(</span><span class="mord mathit">u</span><span class="mclose">)</span><span class="mord mathrm">∣</span></span></span></span> is the number of true positives. If <span class="katex"><span class="katex-mathml"><math><semantics><mrow><msub><mi>I</mi><mn>2</mn></msub><mo>(</mo><mi>u</mi><mo>)</mo><mo>=</mo><mo>{</mo><mn>1</mn><mo separator="true">,</mo><mn>3</mn><mo>}</mo></mrow><annotation encoding="application/x-tex">I_2(u) = \{1, 3\}</annotation></semantics></math></span><span class="katex-html" aria-hidden="true"><span class="strut" style="height:0.75em;"></span><span class="strut bottom" style="height:1em;vertical-align:-0.25em;"></span><span class="base textstyle uncramped"><span class="mord"><span class="mord mathit" style="margin-right:0.07847em;">I</span><span class="vlist"><span style="top:0.15em;margin-right:0.05em;margin-left:-0.07847em;"><span class="fontsize-ensu
rer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="reset-textstyle scriptstyle cramped"><span class="mord mathrm">2</span></span></span><span class="baseline-fix"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span>​</span></span></span><span class="mopen">(</span><span class="mord mathit">u</span><span class="mclose">)</span><span class="mrel">=</span><span class="mopen">{</span><span class="mord mathrm">1</span><span class="mpunct">,</span><span class="mord mathrm">3</span><span class="mclose">}</span></span></span></span> and <span class="katex"><span class="katex-mathml"><math><semantics><mrow><msubsup><mrow><mi mathvariant="script">I</mi></mrow><mi>u</mi><mo>+</mo></msubsup><mo>=</mo><mo>{</mo><mn>1</mn><mo separator="true">,</mo><mn>2</mn><mo separator="true">,</mo><mn>4</mn><mo>}</mo></mrow><annotation encoding="application/x-tex">\mathcal{I}^+_u = \{1, 2, 4\}</annotation></semantics></
math></span><span class="katex-html" aria-hidden="true"><span class="strut" style="height:0.771331em;"></span><span class="strut bottom" style="height:1.021331em;vertical-align:-0.25em;"></span><span class="base textstyle uncramped"><span class=""><span class="mord textstyle uncramped"><span class="mord mathcal" style="margin-right:0.07382em;">I</span></span><span class="vlist"><span style="top:0.247em;margin-right:0.05em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="reset-textstyle scriptstyle cramped"><span class="mord mathit">u</span></span></span><span style="top:-0.363em;margin-right:0.05em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="reset-textstyle scriptstyle uncramped"><span class="mord">+</span></span></span><span class="baseline-fix"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span>&#x
200B;</span></span></span><span class="mrel">=</span><span class="mopen">{</span><span class="mord mathrm">1</span><span class="mpunct">,</span><span class="mord mathrm">2</span><span class="mpunct">,</span><span class="mord mathrm">4</span><span class="mclose">}</span></span></span></span>, <span class="katex"><span class="katex-mathml"><math><semantics><mrow><mrow><mi mathvariant="normal">R</mi><mi mathvariant="normal">e</mi><mi mathvariant="normal">c</mi><mi mathvariant="normal">a</mi><mi mathvariant="normal">l</mi><mi mathvariant="normal">l</mi><mi mathvariant="normal">@</mi></mrow><mn>2</mn><mo>=</mo><mn>1</mn><mi mathvariant="normal">/</mi><mn>3</mn><mo>≈</mo><mn>0</mn><mi mathvariant="normal">.</mi><mn>3</mn><mn>3</mn><mn>3</mn></mrow><annotation encoding="application/x-tex">\mathrm{Recall@}2 = 1 / 3 \approx 0.333</annotation></semantics></math></span><span class="katex-html" aria-hidden="true"><span class="strut" style="height:0.75em;"></span><span class="strut bottom
" style="height:1em;vertical-align:-0.25em;"></span><span class="base textstyle uncramped"><span class="mord textstyle uncramped"><span class="mord mathrm">R</span><span class="mord mathrm">e</span><span class="mord mathrm">c</span><span class="mord mathrm">a</span><span class="mord mathrm">l</span><span class="mord mathrm">l</span><span class="mord mathrm">@</span></span><span class="mord mathrm">2</span><span class="mrel">=</span><span class="mord mathrm">1</span><span class="mord mathrm">/</span><span class="mord mathrm">3</span><span class="mrel">≈</span><span class="mord mathrm">0</span><span class="mord mathrm">.</span><span class="mord mathrm">3</span><span class="mord mathrm">3</span><span class="mord mathrm">3</span></span></span></span>.</p>
<h2 id="precision-at-k">Precision-At-k</h2>
-<p>Unlike Recall@k, <strong>Precision-at-k (Precision@k)</strong> evaluates correctness of a top-k recommendation list <span class="katex"><span class="katex-mathml"><math><semantics><mrow><msub><mi>I</mi><mi>k</mi></msub><mo>(</mo><mi>u</mi><mo>)</mo></mrow><annotation encoding="application/x-tex">I_k(u)</annotation></semantics></math></span><span class="katex-html" aria-hidden="true"><span class="strut" style="height:0.75em;"></span><span class="strut bottom" style="height:1em;vertical-align:-0.25em;"></span><span class="base textstyle uncramped"><span class="mord"><span class="mord mathit" style="margin-right:0.07847em;">I</span><span class="msupsub"><span class="vlist"><span style="top:0.15em;margin-right:0.05em;margin-left:-0.07847em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="reset-textstyle scriptstyle cramped mtight"><span class="mord mathit mtight" style="margin-right:0.03148em;">k</span></span></span><s
pan class="baseline-fix"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span>​</span></span></span></span><span class="mopen">(</span><span class="mord mathit">u</span><span class="mclose">)</span></span></span></span> according to the portion of true positives in the list as:
+<p>Unlike Recall@k, <strong>Precision-at-k (Precision@k)</strong> evaluates correctness of a top-k recommendation list <span class="katex"><span class="katex-mathml"><math><semantics><mrow><msub><mi>I</mi><mi>k</mi></msub><mo>(</mo><mi>u</mi><mo>)</mo></mrow><annotation encoding="application/x-tex">I_k(u)</annotation></semantics></math></span><span class="katex-html" aria-hidden="true"><span class="strut" style="height:0.75em;"></span><span class="strut bottom" style="height:1em;vertical-align:-0.25em;"></span><span class="base textstyle uncramped"><span class="mord"><span class="mord mathit" style="margin-right:0.07847em;">I</span><span class="vlist"><span style="top:0.15em;margin-right:0.05em;margin-left:-0.07847em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="reset-textstyle scriptstyle cramped"><span class="mord mathit" style="margin-right:0.03148em;">k</span></span></span><span class="baseline-fix"><span class
="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span>​</span></span></span><span class="mopen">(</span><span class="mord mathit">u</span><span class="mclose">)</span></span></span></span> according to the portion of true positives in the list as:
<span class="katex-display"><span class="katex"><span class="katex-mathml"><math><semantics><mrow><mrow><mi mathvariant="normal">P</mi><mi mathvariant="normal">r</mi><mi mathvariant="normal">e</mi><mi mathvariant="normal">c</mi><mi mathvariant="normal">i</mi><mi mathvariant="normal">s</mi><mi mathvariant="normal">i</mi><mi mathvariant="normal">o</mi><mi mathvariant="normal">n</mi><mi mathvariant="normal">@</mi></mrow><mi>k</mi><mo>=</mo><mfrac><mrow><mi mathvariant="normal">∣</mi><msubsup><mrow><mi mathvariant="script">I</mi></mrow><mi>u</mi><mo>+</mo></msubsup><mo>∩</mo><msub><mi>I</mi><mi>k</mi></msub><mo>(</mo><mi>u</mi><mo>)</mo><mi mathvariant="normal">∣</mi></mrow><mrow><mi mathvariant="normal">∣</mi><msub><mi>I</mi><mi>k</mi></msub><mo>(</mo><mi>u</mi><mo>)</mo><mi mathvariant="normal">∣</mi></mrow></mfrac><mi mathvariant="normal">.</mi></mrow><annotation encoding="application/x-tex">
\mathrm{Precision@}k = \frac{|\mathcal{I}^+_u \cap I_k(u)|}{|I_k(u)|}.
-</annotation></semantics></math></span><span class="katex-html" aria-hidden="true"><span class="strut" style="height:1.448331em;"></span><span class="strut bottom" style="height:2.384331em;vertical-align:-0.936em;"></span><span class="base displaystyle textstyle uncramped"><span class="mord displaystyle textstyle uncramped"><span class="mord mathrm">P</span><span class="mord mathrm">r</span><span class="mord mathrm">e</span><span class="mord mathrm">c</span><span class="mord mathrm">i</span><span class="mord mathrm">s</span><span class="mord mathrm">i</span><span class="mord mathrm">o</span><span class="mord mathrm">n</span><span class="mord mathrm">@</span></span><span class="mord mathit" style="margin-right:0.03148em;">k</span><span class="mrel">=</span><span class="mord reset-textstyle displaystyle textstyle uncramped"><span class="mopen sizing reset-size5 size5 reset-textstyle textstyle uncramped nulldelimiter"></span><span class="mfrac"><span class="vlist"><span style="top:0.68
6em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="reset-textstyle textstyle cramped"><span class="mord textstyle cramped"><span class="mord mathrm">∣</span><span class="mord"><span class="mord mathit" style="margin-right:0.07847em;">I</span><span class="msupsub"><span class="vlist"><span style="top:0.15em;margin-right:0.05em;margin-left:-0.07847em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="reset-textstyle scriptstyle cramped mtight"><span class="mord mathit mtight" style="margin-right:0.03148em;">k</span></span></span><span class="baseline-fix"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span>​</span></span></span></span><span class="mopen">(</span><span class="mord mathit">u</span><span class="mclose">)</span><span class="mord mathrm">∣</span></span></span></span><span sty
le="top:-0.2300000000000001em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="reset-textstyle textstyle uncramped frac-line"></span></span><span style="top:-0.677em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="reset-textstyle textstyle uncramped"><span class="mord textstyle uncramped"><span class="mord mathrm">∣</span><span class="mord"><span class="mord textstyle uncramped"><span class="mord mathcal" style="margin-right:0.07382em;">I</span></span><span class="msupsub"><span class="vlist"><span style="top:0.247em;margin-right:0.05em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="reset-textstyle scriptstyle cramped mtight"><span class="mord mathit mtight">u</span></span></span><span style="top:-0.363em;margin-right:0.05em;"><span class="fontsize-ensurer reset-size5 size5"><sp
an style="font-size:0em;">​</span></span><span class="reset-textstyle scriptstyle uncramped mtight"><span class="mbin mtight">+</span></span></span><span class="baseline-fix"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span>​</span></span></span></span><span class="mbin">∩</span><span class="mord"><span class="mord mathit" style="margin-right:0.07847em;">I</span><span class="msupsub"><span class="vlist"><span style="top:0.15em;margin-right:0.05em;margin-left:-0.07847em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="reset-textstyle scriptstyle cramped mtight"><span class="mord mathit mtight" style="margin-right:0.03148em;">k</span></span></span><span class="baseline-fix"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span>​</span></span></span></span><span class="mopen">(</span><span class="m
ord mathit">u</span><span class="mclose">)</span><span class="mord mathrm">∣</span></span></span></span><span class="baseline-fix"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span>​</span></span></span><span class="mclose sizing reset-size5 size5 reset-textstyle textstyle uncramped nulldelimiter"></span></span><span class="mord mathrm">.</span></span></span></span></span>
-In other words, Precision@k means how much the recommendation list covers true pairs. Here, <span class="katex"><span class="katex-mathml"><math><semantics><mrow><mrow><mi mathvariant="normal">P</mi><mi mathvariant="normal">r</mi><mi mathvariant="normal">e</mi><mi mathvariant="normal">c</mi><mi mathvariant="normal">i</mi><mi mathvariant="normal">s</mi><mi mathvariant="normal">i</mi><mi mathvariant="normal">o</mi><mi mathvariant="normal">n</mi><mi mathvariant="normal">@</mi></mrow><mn>2</mn><mo>=</mo><mn>1</mn><mi mathvariant="normal">/</mi><mn>2</mn><mo>=</mo><mn>0</mn><mi mathvariant="normal">.</mi><mn>5</mn></mrow><annotation encoding="application/x-tex">\mathrm{Precision@}2 = 1 / 2 = 0.5</annotation></semantics></math></span><span class="katex-html" aria-hidden="true"><span class="strut" style="height:0.75em;"></span><span class="strut bottom" style="height:1em;vertical-align:-0.25em;"></span><span class="base textstyle uncramped"><span class="mord textstyle uncramped"><span clas
s="mord mathrm">P</span><span class="mord mathrm">r</span><span class="mord mathrm">e</span><span class="mord mathrm">c</span><span class="mord mathrm">i</span><span class="mord mathrm">s</span><span class="mord mathrm">i</span><span class="mord mathrm">o</span><span class="mord mathrm">n</span><span class="mord mathrm">@</span></span><span class="mord mathrm">2</span><span class="mrel">=</span><span class="mord mathrm">1</span><span class="mord mathrm">/</span><span class="mord mathrm">2</span><span class="mrel">=</span><span class="mord mathrm">0</span><span class="mord mathrm">.</span><span class="mord mathrm">5</span></span></span></span> where <span class="katex"><span class="katex-mathml"><math><semantics><mrow><msub><mi>I</mi><mn>2</mn></msub><mo>(</mo><mi>u</mi><mo>)</mo><mo>=</mo><mo>{</mo><mn>1</mn><mo separator="true">,</mo><mn>3</mn><mo>}</mo></mrow><annotation encoding="application/x-tex">I_2(u) = \{1, 3\}</annotation></semantics></math></span><span class="katex-html" a
ria-hidden="true"><span class="strut" style="height:0.75em;"></span><span class="strut bottom" style="height:1em;vertical-align:-0.25em;"></span><span class="base textstyle uncramped"><span class="mord"><span class="mord mathit" style="margin-right:0.07847em;">I</span><span class="msupsub"><span class="vlist"><span style="top:0.15em;margin-right:0.05em;margin-left:-0.07847em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="reset-textstyle scriptstyle cramped mtight"><span class="mord mathrm mtight">2</span></span></span><span class="baseline-fix"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span>​</span></span></span></span><span class="mopen">(</span><span class="mord mathit">u</span><span class="mclose">)</span><span class="mrel">=</span><span class="mopen">{</span><span class="mord mathrm">1</span><span class="mpunct">,</span><span class="mord mathrm">3</span
><span class="mclose">}</span></span></span></span> and <span class="katex"><span class="katex-mathml"><math><semantics><mrow><msubsup><mrow><mi mathvariant="script">I</mi></mrow><mi>u</mi><mo>+</mo></msubsup><mo>=</mo><mo>{</mo><mn>1</mn><mo separator="true">,</mo><mn>2</mn><mo separator="true">,</mo><mn>4</mn><mo>}</mo></mrow><annotation encoding="application/x-tex">\mathcal{I}^+_u = \{1, 2, 4\}</annotation></semantics></math></span><span class="katex-html" aria-hidden="true"><span class="strut" style="height:0.771331em;"></span><span class="strut bottom" style="height:1.021331em;vertical-align:-0.25em;"></span><span class="base textstyle uncramped"><span class="mord"><span class="mord textstyle uncramped"><span class="mord mathcal" style="margin-right:0.07382em;">I</span></span><span class="msupsub"><span class="vlist"><span style="top:0.247em;margin-right:0.05em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="res
et-textstyle scriptstyle cramped mtight"><span class="mord mathit mtight">u</span></span></span><span style="top:-0.363em;margin-right:0.05em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="reset-textstyle scriptstyle uncramped mtight"><span class="mbin mtight">+</span></span></span><span class="baseline-fix"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span>​</span></span></span></span><span class="mrel">=</span><span class="mopen">{</span><span class="mord mathrm">1</span><span class="mpunct">,</span><span class="mord mathrm">2</span><span class="mpunct">,</span><span class="mord mathrm">4</span><span class="mclose">}</span></span></span></span>.</p>
+</annotation></semantics></math></span><span class="katex-html" aria-hidden="true"><span class="strut" style="height:1.448331em;"></span><span class="strut bottom" style="height:2.384331em;vertical-align:-0.936em;"></span><span class="base displaystyle textstyle uncramped"><span class="mord displaystyle textstyle uncramped"><span class="mord mathrm">P</span><span class="mord mathrm">r</span><span class="mord mathrm">e</span><span class="mord mathrm">c</span><span class="mord mathrm">i</span><span class="mord mathrm">s</span><span class="mord mathrm">i</span><span class="mord mathrm">o</span><span class="mord mathrm">n</span><span class="mord mathrm">@</span></span><span class="mord mathit" style="margin-right:0.03148em;">k</span><span class="mrel">=</span><span class="mord reset-textstyle displaystyle textstyle uncramped"><span class="sizing reset-size5 size5 reset-textstyle textstyle uncramped nulldelimiter"></span><span class="mfrac"><span class="vlist"><span style="top:0.686em;">
<span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="reset-textstyle textstyle cramped"><span class="mord textstyle cramped"><span class="mord mathrm">∣</span><span class="mord"><span class="mord mathit" style="margin-right:0.07847em;">I</span><span class="vlist"><span style="top:0.15em;margin-right:0.05em;margin-left:-0.07847em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="reset-textstyle scriptstyle cramped"><span class="mord mathit" style="margin-right:0.03148em;">k</span></span></span><span class="baseline-fix"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span>​</span></span></span><span class="mopen">(</span><span class="mord mathit">u</span><span class="mclose">)</span><span class="mord mathrm">∣</span></span></span></span><span style="top:-0.2300000000000001em;"><span class="font
size-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="reset-textstyle textstyle uncramped frac-line"></span></span><span style="top:-0.677em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="reset-textstyle textstyle uncramped"><span class="mord textstyle uncramped"><span class="mord mathrm">∣</span><span class=""><span class="mord textstyle uncramped"><span class="mord mathcal" style="margin-right:0.07382em;">I</span></span><span class="vlist"><span style="top:0.247em;margin-right:0.05em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="reset-textstyle scriptstyle cramped"><span class="mord mathit">u</span></span></span><span style="top:-0.363em;margin-right:0.05em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="reset-textstyle scriptstyle
uncramped"><span class="mord">+</span></span></span><span class="baseline-fix"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span>​</span></span></span><span class="mbin">∩</span><span class="mord"><span class="mord mathit" style="margin-right:0.07847em;">I</span><span class="vlist"><span style="top:0.15em;margin-right:0.05em;margin-left:-0.07847em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="reset-textstyle scriptstyle cramped"><span class="mord mathit" style="margin-right:0.03148em;">k</span></span></span><span class="baseline-fix"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span>​</span></span></span><span class="mopen">(</span><span class="mord mathit">u</span><span class="mclose">)</span><span class="mord mathrm">∣</span></span></span></span><span class="baseline-fix"><span class="fo
ntsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span>​</span></span></span><span class="sizing reset-size5 size5 reset-textstyle textstyle uncramped nulldelimiter"></span></span><span class="mord mathrm">.</span></span></span></span></span>
+In other words, Precision@k means how much the recommendation list covers true pairs. Here, <span class="katex"><span class="katex-mathml"><math><semantics><mrow><mrow><mi mathvariant="normal">P</mi><mi mathvariant="normal">r</mi><mi mathvariant="normal">e</mi><mi mathvariant="normal">c</mi><mi mathvariant="normal">i</mi><mi mathvariant="normal">s</mi><mi mathvariant="normal">i</mi><mi mathvariant="normal">o</mi><mi mathvariant="normal">n</mi><mi mathvariant="normal">@</mi></mrow><mn>2</mn><mo>=</mo><mn>1</mn><mi mathvariant="normal">/</mi><mn>2</mn><mo>=</mo><mn>0</mn><mi mathvariant="normal">.</mi><mn>5</mn></mrow><annotation encoding="application/x-tex">\mathrm{Precision@}2 = 1 / 2 = 0.5</annotation></semantics></math></span><span class="katex-html" aria-hidden="true"><span class="strut" style="height:0.75em;"></span><span class="strut bottom" style="height:1em;vertical-align:-0.25em;"></span><span class="base textstyle uncramped"><span class="mord textstyle uncramped"><span clas
s="mord mathrm">P</span><span class="mord mathrm">r</span><span class="mord mathrm">e</span><span class="mord mathrm">c</span><span class="mord mathrm">i</span><span class="mord mathrm">s</span><span class="mord mathrm">i</span><span class="mord mathrm">o</span><span class="mord mathrm">n</span><span class="mord mathrm">@</span></span><span class="mord mathrm">2</span><span class="mrel">=</span><span class="mord mathrm">1</span><span class="mord mathrm">/</span><span class="mord mathrm">2</span><span class="mrel">=</span><span class="mord mathrm">0</span><span class="mord mathrm">.</span><span class="mord mathrm">5</span></span></span></span> where <span class="katex"><span class="katex-mathml"><math><semantics><mrow><msub><mi>I</mi><mn>2</mn></msub><mo>(</mo><mi>u</mi><mo>)</mo><mo>=</mo><mo>{</mo><mn>1</mn><mo separator="true">,</mo><mn>3</mn><mo>}</mo></mrow><annotation encoding="application/x-tex">I_2(u) = \{1, 3\}</annotation></semantics></math></span><span class="katex-html" a
ria-hidden="true"><span class="strut" style="height:0.75em;"></span><span class="strut bottom" style="height:1em;vertical-align:-0.25em;"></span><span class="base textstyle uncramped"><span class="mord"><span class="mord mathit" style="margin-right:0.07847em;">I</span><span class="vlist"><span style="top:0.15em;margin-right:0.05em;margin-left:-0.07847em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="reset-textstyle scriptstyle cramped"><span class="mord mathrm">2</span></span></span><span class="baseline-fix"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span>​</span></span></span><span class="mopen">(</span><span class="mord mathit">u</span><span class="mclose">)</span><span class="mrel">=</span><span class="mopen">{</span><span class="mord mathrm">1</span><span class="mpunct">,</span><span class="mord mathrm">3</span><span class="mclose">}</span></span></span
></span> and <span class="katex"><span class="katex-mathml"><math><semantics><mrow><msubsup><mrow><mi mathvariant="script">I</mi></mrow><mi>u</mi><mo>+</mo></msubsup><mo>=</mo><mo>{</mo><mn>1</mn><mo separator="true">,</mo><mn>2</mn><mo separator="true">,</mo><mn>4</mn><mo>}</mo></mrow><annotation encoding="application/x-tex">\mathcal{I}^+_u = \{1, 2, 4\}</annotation></semantics></math></span><span class="katex-html" aria-hidden="true"><span class="strut" style="height:0.771331em;"></span><span class="strut bottom" style="height:1.021331em;vertical-align:-0.25em;"></span><span class="base textstyle uncramped"><span class=""><span class="mord textstyle uncramped"><span class="mord mathcal" style="margin-right:0.07382em;">I</span></span><span class="vlist"><span style="top:0.247em;margin-right:0.05em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="reset-textstyle scriptstyle cramped"><span class="mord mathit">u</span><
/span></span><span style="top:-0.363em;margin-right:0.05em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="reset-textstyle scriptstyle uncramped"><span class="mord">+</span></span></span><span class="baseline-fix"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span>​</span></span></span><span class="mrel">=</span><span class="mopen">{</span><span class="mord mathrm">1</span><span class="mpunct">,</span><span class="mord mathrm">2</span><span class="mpunct">,</span><span class="mord mathrm">4</span><span class="mclose">}</span></span></span></span>.</p>
<h2 id="mean-average-precision-map">Mean Average Precision (MAP)</h2>
-<p>While the original Precision@k provides a score for a fixed-length recommendation list <span class="katex"><span class="katex-mathml"><math><semantics><mrow><msub><mi>I</mi><mi>k</mi></msub><mo>(</mo><mi>u</mi><mo>)</mo></mrow><annotation encoding="application/x-tex">I_k(u)</annotation></semantics></math></span><span class="katex-html" aria-hidden="true"><span class="strut" style="height:0.75em;"></span><span class="strut bottom" style="height:1em;vertical-align:-0.25em;"></span><span class="base textstyle uncramped"><span class="mord"><span class="mord mathit" style="margin-right:0.07847em;">I</span><span class="msupsub"><span class="vlist"><span style="top:0.15em;margin-right:0.05em;margin-left:-0.07847em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="reset-textstyle scriptstyle cramped mtight"><span class="mord mathit mtight" style="margin-right:0.03148em;">k</span></span></span><span class="baseline-fix"><spa
n class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span>​</span></span></span></span><span class="mopen">(</span><span class="mord mathit">u</span><span class="mclose">)</span></span></span></span>, <strong>mean average precision (MAP)</strong> computes an average of the scores over all recommendation sizes from 1 to <span class="katex"><span class="katex-mathml"><math><semantics><mrow><mi mathvariant="normal">∣</mi><mrow><mi mathvariant="script">I</mi></mrow><mi mathvariant="normal">∣</mi></mrow><annotation encoding="application/x-tex">|\mathcal{I}|</annotation></semantics></math></span><span class="katex-html" aria-hidden="true"><span class="strut" style="height:0.75em;"></span><span class="strut bottom" style="height:1em;vertical-align:-0.25em;"></span><span class="base textstyle uncramped"><span class="mord mathrm">∣</span><span class="mord textstyle uncramped"><span class="mord mathcal" style="margin-right:0.07
382em;">I</span></span><span class="mord mathrm">∣</span></span></span></span>. MAP is formulated with an indicator function for <span class="katex"><span class="katex-mathml"><math><semantics><mrow><msub><mi>i</mi><mi>n</mi></msub></mrow><annotation encoding="application/x-tex">i_n</annotation></semantics></math></span><span class="katex-html" aria-hidden="true"><span class="strut" style="height:0.65952em;"></span><span class="strut bottom" style="height:0.80952em;vertical-align:-0.15em;"></span><span class="base textstyle uncramped"><span class="mord"><span class="mord mathit">i</span><span class="msupsub"><span class="vlist"><span style="top:0.15em;margin-right:0.05em;margin-left:0em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="reset-textstyle scriptstyle cramped mtight"><span class="mord mathit mtight">n</span></span></span><span class="baseline-fix"><span class="fontsize-ensurer reset-size5 size5"><spa
n style="font-size:0em;">​</span></span>​</span></span></span></span></span></span></span> (the <span class="katex"><span class="katex-mathml"><math><semantics><mrow><mi>n</mi></mrow><annotation encoding="application/x-tex">n</annotation></semantics></math></span><span class="katex-html" aria-hidden="true"><span class="strut" style="height:0.43056em;"></span><span class="strut bottom" style="height:0.43056em;vertical-align:0em;"></span><span class="base textstyle uncramped"><span class="mord mathit">n</span></span></span></span>-th item of <span class="katex"><span class="katex-mathml"><math><semantics><mrow><mi>I</mi><mo>(</mo><mi>u</mi><mo>)</mo></mrow><annotation encoding="application/x-tex">I(u)</annotation></semantics></math></span><span class="katex-html" aria-hidden="true"><span class="strut" style="height:0.75em;"></span><span class="strut bottom" style="height:1em;vertical-align:-0.25em;"></span><span class="base textstyle uncramped"><span class="mord mathit"
style="margin-right:0.07847em;">I</span><span class="mopen">(</span><span class="mord mathit">u</span><span class="mclose">)</span></span></span></span>), as:
+<p>While the original Precision@k provides a score for a fixed-length recommendation list <span class="katex"><span class="katex-mathml"><math><semantics><mrow><msub><mi>I</mi><mi>k</mi></msub><mo>(</mo><mi>u</mi><mo>)</mo></mrow><annotation encoding="application/x-tex">I_k(u)</annotation></semantics></math></span><span class="katex-html" aria-hidden="true"><span class="strut" style="height:0.75em;"></span><span class="strut bottom" style="height:1em;vertical-align:-0.25em;"></span><span class="base textstyle uncramped"><span class="mord"><span class="mord mathit" style="margin-right:0.07847em;">I</span><span class="vlist"><span style="top:0.15em;margin-right:0.05em;margin-left:-0.07847em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="reset-textstyle scriptstyle cramped"><span class="mord mathit" style="margin-right:0.03148em;">k</span></span></span><span class="baseline-fix"><span class="fontsize-ensurer reset-size
5 size5"><span style="font-size:0em;">​</span></span>​</span></span></span><span class="mopen">(</span><span class="mord mathit">u</span><span class="mclose">)</span></span></span></span>, <strong>mean average precision (MAP)</strong> computes an average of the scores over all recommendation sizes from 1 to <span class="katex"><span class="katex-mathml"><math><semantics><mrow><mi mathvariant="n
<TRUNCATED>
[20/41] incubator-hivemall-site git commit: Added descriptions about
Feature Pairing in the user guide
Posted by my...@apache.org.
http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/ba518dab/userguide/multiclass/iris_randomforest.html
----------------------------------------------------------------------
diff --git a/userguide/multiclass/iris_randomforest.html b/userguide/multiclass/iris_randomforest.html
index 28e02b0..4c08ba2 100644
--- a/userguide/multiclass/iris_randomforest.html
+++ b/userguide/multiclass/iris_randomforest.html
@@ -97,7 +97,7 @@
<link rel="shortcut icon" href="../gitbook/images/favicon.ico" type="image/x-icon">
- <link rel="next" href="../regression/e2006.html" />
+ <link rel="next" href="../regression/general.html" />
<link rel="prev" href="iris_scw.html" />
@@ -598,14 +598,30 @@
</li>
- <li class="chapter " data-level="3.5" data-path="../ft_engineering/tfidf.html">
+ <li class="chapter " data-level="3.5" data-path="../ft_engineering/pairing.html">
- <a href="../ft_engineering/tfidf.html">
+ <a href="../ft_engineering/pairing.html">
<b>3.5.</b>
- TF-IDF Calculation
+ FEATURE PAIRING
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="3.5.1" data-path="../ft_engineering/polynomial.html">
+
+ <a href="../ft_engineering/polynomial.html">
+
+
+ <b>3.5.1.</b>
+
+ Polynomial Features
</a>
@@ -613,6 +629,11 @@
</li>
+
+ </ul>
+
+ </li>
+
<li class="chapter " data-level="3.6" data-path="../ft_engineering/ft_trans.html">
<a href="../ft_engineering/ft_trans.html">
@@ -664,6 +685,21 @@
</li>
+ <li class="chapter " data-level="3.7" data-path="../ft_engineering/tfidf.html">
+
+ <a href="../ft_engineering/tfidf.html">
+
+
+ <b>3.7.</b>
+
+ TF-IDF Calculation
+
+ </a>
+
+
+
+ </li>
+
@@ -761,7 +797,7 @@
- <li class="header">Part V - Prediction</li>
+ <li class="header">Part V - Supervised Learning</li>
@@ -780,27 +816,19 @@
</li>
- <li class="chapter " data-level="5.2" data-path="../regression/general.html">
-
- <a href="../regression/general.html">
-
-
- <b>5.2.</b>
-
- Regression
-
- </a>
-
-
- </li>
- <li class="chapter " data-level="5.3" data-path="../binaryclass/general.html">
+
+ <li class="header">Part VI - Binary classification</li>
+
+
+
+ <li class="chapter " data-level="6.1" data-path="../binaryclass/general.html">
<a href="../binaryclass/general.html">
- <b>5.3.</b>
+ <b>6.1.</b>
Binary Classification
@@ -810,21 +838,14 @@
</li>
-
-
-
- <li class="header">Part VI - Binary classification tutorials</li>
-
-
-
- <li class="chapter " data-level="6.1" data-path="../binaryclass/a9a.html">
+ <li class="chapter " data-level="6.2" data-path="../binaryclass/a9a.html">
<a href="../binaryclass/a9a.html">
- <b>6.1.</b>
+ <b>6.2.</b>
- a9a
+ a9a tutorial
</a>
@@ -833,12 +854,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.1.1" data-path="../binaryclass/a9a_dataset.html">
+ <li class="chapter " data-level="6.2.1" data-path="../binaryclass/a9a_dataset.html">
<a href="../binaryclass/a9a_dataset.html">
- <b>6.1.1.</b>
+ <b>6.2.1.</b>
Data preparation
@@ -848,12 +869,12 @@
</li>
- <li class="chapter " data-level="6.1.2" data-path="../binaryclass/a9a_lr.html">
+ <li class="chapter " data-level="6.2.2" data-path="../binaryclass/a9a_lr.html">
<a href="../binaryclass/a9a_lr.html">
- <b>6.1.2.</b>
+ <b>6.2.2.</b>
Logistic Regression
@@ -863,12 +884,12 @@
</li>
- <li class="chapter " data-level="6.1.3" data-path="../binaryclass/a9a_minibatch.html">
+ <li class="chapter " data-level="6.2.3" data-path="../binaryclass/a9a_minibatch.html">
<a href="../binaryclass/a9a_minibatch.html">
- <b>6.1.3.</b>
+ <b>6.2.3.</b>
Mini-batch Gradient Descent
@@ -883,14 +904,14 @@
</li>
- <li class="chapter " data-level="6.2" data-path="../binaryclass/news20.html">
+ <li class="chapter " data-level="6.3" data-path="../binaryclass/news20.html">
<a href="../binaryclass/news20.html">
- <b>6.2.</b>
+ <b>6.3.</b>
- News20
+ News20 tutorial
</a>
@@ -899,12 +920,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.2.1" data-path="../binaryclass/news20_dataset.html">
+ <li class="chapter " data-level="6.3.1" data-path="../binaryclass/news20_dataset.html">
<a href="../binaryclass/news20_dataset.html">
- <b>6.2.1.</b>
+ <b>6.3.1.</b>
Data preparation
@@ -914,12 +935,12 @@
</li>
- <li class="chapter " data-level="6.2.2" data-path="../binaryclass/news20_pa.html">
+ <li class="chapter " data-level="6.3.2" data-path="../binaryclass/news20_pa.html">
<a href="../binaryclass/news20_pa.html">
- <b>6.2.2.</b>
+ <b>6.3.2.</b>
Perceptron, Passive Aggressive
@@ -929,12 +950,12 @@
</li>
- <li class="chapter " data-level="6.2.3" data-path="../binaryclass/news20_scw.html">
+ <li class="chapter " data-level="6.3.3" data-path="../binaryclass/news20_scw.html">
<a href="../binaryclass/news20_scw.html">
- <b>6.2.3.</b>
+ <b>6.3.3.</b>
CW, AROW, SCW
@@ -944,12 +965,12 @@
</li>
- <li class="chapter " data-level="6.2.4" data-path="../binaryclass/news20_adagrad.html">
+ <li class="chapter " data-level="6.3.4" data-path="../binaryclass/news20_adagrad.html">
<a href="../binaryclass/news20_adagrad.html">
- <b>6.2.4.</b>
+ <b>6.3.4.</b>
AdaGradRDA, AdaGrad, AdaDelta
@@ -964,14 +985,14 @@
</li>
- <li class="chapter " data-level="6.3" data-path="../binaryclass/kdd2010a.html">
+ <li class="chapter " data-level="6.4" data-path="../binaryclass/kdd2010a.html">
<a href="../binaryclass/kdd2010a.html">
- <b>6.3.</b>
+ <b>6.4.</b>
- KDD2010a
+ KDD2010a tutorial
</a>
@@ -980,12 +1001,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.3.1" data-path="../binaryclass/kdd2010a_dataset.html">
+ <li class="chapter " data-level="6.4.1" data-path="../binaryclass/kdd2010a_dataset.html">
<a href="../binaryclass/kdd2010a_dataset.html">
- <b>6.3.1.</b>
+ <b>6.4.1.</b>
Data preparation
@@ -995,12 +1016,12 @@
</li>
- <li class="chapter " data-level="6.3.2" data-path="../binaryclass/kdd2010a_scw.html">
+ <li class="chapter " data-level="6.4.2" data-path="../binaryclass/kdd2010a_scw.html">
<a href="../binaryclass/kdd2010a_scw.html">
- <b>6.3.2.</b>
+ <b>6.4.2.</b>
PA, CW, AROW, SCW
@@ -1015,14 +1036,14 @@
</li>
- <li class="chapter " data-level="6.4" data-path="../binaryclass/kdd2010b.html">
+ <li class="chapter " data-level="6.5" data-path="../binaryclass/kdd2010b.html">
<a href="../binaryclass/kdd2010b.html">
- <b>6.4.</b>
+ <b>6.5.</b>
- KDD2010b
+ KDD2010b tutorial
</a>
@@ -1031,12 +1052,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.4.1" data-path="../binaryclass/kdd2010b_dataset.html">
+ <li class="chapter " data-level="6.5.1" data-path="../binaryclass/kdd2010b_dataset.html">
<a href="../binaryclass/kdd2010b_dataset.html">
- <b>6.4.1.</b>
+ <b>6.5.1.</b>
Data preparation
@@ -1046,12 +1067,12 @@
</li>
- <li class="chapter " data-level="6.4.2" data-path="../binaryclass/kdd2010b_arow.html">
+ <li class="chapter " data-level="6.5.2" data-path="../binaryclass/kdd2010b_arow.html">
<a href="../binaryclass/kdd2010b_arow.html">
- <b>6.4.2.</b>
+ <b>6.5.2.</b>
AROW
@@ -1066,14 +1087,14 @@
</li>
- <li class="chapter " data-level="6.5" data-path="../binaryclass/webspam.html">
+ <li class="chapter " data-level="6.6" data-path="../binaryclass/webspam.html">
<a href="../binaryclass/webspam.html">
- <b>6.5.</b>
+ <b>6.6.</b>
- Webspam
+ Webspam tutorial
</a>
@@ -1082,12 +1103,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.5.1" data-path="../binaryclass/webspam_dataset.html">
+ <li class="chapter " data-level="6.6.1" data-path="../binaryclass/webspam_dataset.html">
<a href="../binaryclass/webspam_dataset.html">
- <b>6.5.1.</b>
+ <b>6.6.1.</b>
Data pareparation
@@ -1097,12 +1118,12 @@
</li>
- <li class="chapter " data-level="6.5.2" data-path="../binaryclass/webspam_scw.html">
+ <li class="chapter " data-level="6.6.2" data-path="../binaryclass/webspam_scw.html">
<a href="../binaryclass/webspam_scw.html">
- <b>6.5.2.</b>
+ <b>6.6.2.</b>
PA1, AROW, SCW
@@ -1117,14 +1138,14 @@
</li>
- <li class="chapter " data-level="6.6" data-path="../binaryclass/titanic_rf.html">
+ <li class="chapter " data-level="6.7" data-path="../binaryclass/titanic_rf.html">
<a href="../binaryclass/titanic_rf.html">
- <b>6.6.</b>
+ <b>6.7.</b>
- Kaggle Titanic
+ Kaggle Titanic tutorial
</a>
@@ -1135,7 +1156,7 @@
- <li class="header">Part VII - Multiclass classification tutorials</li>
+ <li class="header">Part VII - Multiclass classification</li>
@@ -1146,7 +1167,7 @@
<b>7.1.</b>
- News20 Multiclass
+ News20 Multiclass tutorial
</a>
@@ -1257,7 +1278,7 @@
<b>7.2.</b>
- Iris
+ Iris tutorial
</a>
@@ -1319,18 +1340,33 @@
- <li class="header">Part VIII - Regression tutorials</li>
+ <li class="header">Part VIII - Regression</li>
- <li class="chapter " data-level="8.1" data-path="../regression/e2006.html">
+ <li class="chapter " data-level="8.1" data-path="../regression/general.html">
- <a href="../regression/e2006.html">
+ <a href="../regression/general.html">
<b>8.1.</b>
- E2006-tfidf regression
+ Regression
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="8.2" data-path="../regression/e2006.html">
+
+ <a href="../regression/e2006.html">
+
+
+ <b>8.2.</b>
+
+ E2006-tfidf regression tutorial
</a>
@@ -1339,12 +1375,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.1.1" data-path="../regression/e2006_dataset.html">
+ <li class="chapter " data-level="8.2.1" data-path="../regression/e2006_dataset.html">
<a href="../regression/e2006_dataset.html">
- <b>8.1.1.</b>
+ <b>8.2.1.</b>
Data preparation
@@ -1354,12 +1390,12 @@
</li>
- <li class="chapter " data-level="8.1.2" data-path="../regression/e2006_arow.html">
+ <li class="chapter " data-level="8.2.2" data-path="../regression/e2006_arow.html">
<a href="../regression/e2006_arow.html">
- <b>8.1.2.</b>
+ <b>8.2.2.</b>
Passive Aggressive, AROW
@@ -1374,14 +1410,14 @@
</li>
- <li class="chapter " data-level="8.2" data-path="../regression/kddcup12tr2.html">
+ <li class="chapter " data-level="8.3" data-path="../regression/kddcup12tr2.html">
<a href="../regression/kddcup12tr2.html">
- <b>8.2.</b>
+ <b>8.3.</b>
- KDDCup 2012 track 2 CTR prediction
+ KDDCup 2012 track 2 CTR prediction tutorial
</a>
@@ -1390,12 +1426,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.2.1" data-path="../regression/kddcup12tr2_dataset.html">
+ <li class="chapter " data-level="8.3.1" data-path="../regression/kddcup12tr2_dataset.html">
<a href="../regression/kddcup12tr2_dataset.html">
- <b>8.2.1.</b>
+ <b>8.3.1.</b>
Data preparation
@@ -1405,12 +1441,12 @@
</li>
- <li class="chapter " data-level="8.2.2" data-path="../regression/kddcup12tr2_lr.html">
+ <li class="chapter " data-level="8.3.2" data-path="../regression/kddcup12tr2_lr.html">
<a href="../regression/kddcup12tr2_lr.html">
- <b>8.2.2.</b>
+ <b>8.3.2.</b>
Logistic Regression, Passive Aggressive
@@ -1420,12 +1456,12 @@
</li>
- <li class="chapter " data-level="8.2.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
+ <li class="chapter " data-level="8.3.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
<a href="../regression/kddcup12tr2_lr_amplify.html">
- <b>8.2.3.</b>
+ <b>8.3.3.</b>
Logistic Regression with Amplifier
@@ -1435,12 +1471,12 @@
</li>
- <li class="chapter " data-level="8.2.4" data-path="../regression/kddcup12tr2_adagrad.html">
+ <li class="chapter " data-level="8.3.4" data-path="../regression/kddcup12tr2_adagrad.html">
<a href="../regression/kddcup12tr2_adagrad.html">
- <b>8.2.4.</b>
+ <b>8.3.4.</b>
AdaGrad, AdaDelta
@@ -2394,7 +2430,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
<script>
var gitbook = gitbook || [];
gitbook.push(function() {
- gitbook.page.hasChanged({"page":{"title":"RandomForest","level":"7.2.3","depth":2,"next":{"title":"E2006-tfidf regression","level":"8.1","depth":1,"path":"regression/e2006.md","ref":"regression/e2006.md","articles":[{"title":"Data preparation","level":"8.1.1","depth":2,"path":"regression/e2006_dataset.md","ref":"regression/e2006_dataset.md","articles":[]},{"title":"Passive Aggressive, AROW","level":"8.1.2","depth":2,"path":"regression/e2006_arow.md","ref":"regression/e2006_arow.md","articles":[]}]},"previous":{"title":"SCW","level":"7.2.2","depth":2,"path":"multiclass/iris_scw.md","ref":"multiclass/iris_scw.md","articles":[]},"dir":"ltr"},"config":{"plugins":["theme-api","edit-link","github","splitter","sitemap","etoc","callouts","toggle-chapters","anchorjs","codeblock-filename","expandable-chapters","multipart","codeblock-filename","katex","emphasize","localized-footer"],"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"sty
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----------------------------------------------------------------------
diff --git a/userguide/multiclass/iris_scw.html b/userguide/multiclass/iris_scw.html
index 05c2d4e..f4dd58d 100644
--- a/userguide/multiclass/iris_scw.html
+++ b/userguide/multiclass/iris_scw.html
@@ -598,14 +598,30 @@
</li>
- <li class="chapter " data-level="3.5" data-path="../ft_engineering/tfidf.html">
+ <li class="chapter " data-level="3.5" data-path="../ft_engineering/pairing.html">
- <a href="../ft_engineering/tfidf.html">
+ <a href="../ft_engineering/pairing.html">
<b>3.5.</b>
- TF-IDF Calculation
+ FEATURE PAIRING
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="3.5.1" data-path="../ft_engineering/polynomial.html">
+
+ <a href="../ft_engineering/polynomial.html">
+
+
+ <b>3.5.1.</b>
+
+ Polynomial Features
</a>
@@ -613,6 +629,11 @@
</li>
+
+ </ul>
+
+ </li>
+
<li class="chapter " data-level="3.6" data-path="../ft_engineering/ft_trans.html">
<a href="../ft_engineering/ft_trans.html">
@@ -664,6 +685,21 @@
</li>
+ <li class="chapter " data-level="3.7" data-path="../ft_engineering/tfidf.html">
+
+ <a href="../ft_engineering/tfidf.html">
+
+
+ <b>3.7.</b>
+
+ TF-IDF Calculation
+
+ </a>
+
+
+
+ </li>
+
@@ -761,7 +797,7 @@
- <li class="header">Part V - Prediction</li>
+ <li class="header">Part V - Supervised Learning</li>
@@ -780,27 +816,19 @@
</li>
- <li class="chapter " data-level="5.2" data-path="../regression/general.html">
-
- <a href="../regression/general.html">
-
-
- <b>5.2.</b>
-
- Regression
-
- </a>
-
-
- </li>
- <li class="chapter " data-level="5.3" data-path="../binaryclass/general.html">
+
+ <li class="header">Part VI - Binary classification</li>
+
+
+
+ <li class="chapter " data-level="6.1" data-path="../binaryclass/general.html">
<a href="../binaryclass/general.html">
- <b>5.3.</b>
+ <b>6.1.</b>
Binary Classification
@@ -810,21 +838,14 @@
</li>
-
-
-
- <li class="header">Part VI - Binary classification tutorials</li>
-
-
-
- <li class="chapter " data-level="6.1" data-path="../binaryclass/a9a.html">
+ <li class="chapter " data-level="6.2" data-path="../binaryclass/a9a.html">
<a href="../binaryclass/a9a.html">
- <b>6.1.</b>
+ <b>6.2.</b>
- a9a
+ a9a tutorial
</a>
@@ -833,12 +854,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.1.1" data-path="../binaryclass/a9a_dataset.html">
+ <li class="chapter " data-level="6.2.1" data-path="../binaryclass/a9a_dataset.html">
<a href="../binaryclass/a9a_dataset.html">
- <b>6.1.1.</b>
+ <b>6.2.1.</b>
Data preparation
@@ -848,12 +869,12 @@
</li>
- <li class="chapter " data-level="6.1.2" data-path="../binaryclass/a9a_lr.html">
+ <li class="chapter " data-level="6.2.2" data-path="../binaryclass/a9a_lr.html">
<a href="../binaryclass/a9a_lr.html">
- <b>6.1.2.</b>
+ <b>6.2.2.</b>
Logistic Regression
@@ -863,12 +884,12 @@
</li>
- <li class="chapter " data-level="6.1.3" data-path="../binaryclass/a9a_minibatch.html">
+ <li class="chapter " data-level="6.2.3" data-path="../binaryclass/a9a_minibatch.html">
<a href="../binaryclass/a9a_minibatch.html">
- <b>6.1.3.</b>
+ <b>6.2.3.</b>
Mini-batch Gradient Descent
@@ -883,14 +904,14 @@
</li>
- <li class="chapter " data-level="6.2" data-path="../binaryclass/news20.html">
+ <li class="chapter " data-level="6.3" data-path="../binaryclass/news20.html">
<a href="../binaryclass/news20.html">
- <b>6.2.</b>
+ <b>6.3.</b>
- News20
+ News20 tutorial
</a>
@@ -899,12 +920,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.2.1" data-path="../binaryclass/news20_dataset.html">
+ <li class="chapter " data-level="6.3.1" data-path="../binaryclass/news20_dataset.html">
<a href="../binaryclass/news20_dataset.html">
- <b>6.2.1.</b>
+ <b>6.3.1.</b>
Data preparation
@@ -914,12 +935,12 @@
</li>
- <li class="chapter " data-level="6.2.2" data-path="../binaryclass/news20_pa.html">
+ <li class="chapter " data-level="6.3.2" data-path="../binaryclass/news20_pa.html">
<a href="../binaryclass/news20_pa.html">
- <b>6.2.2.</b>
+ <b>6.3.2.</b>
Perceptron, Passive Aggressive
@@ -929,12 +950,12 @@
</li>
- <li class="chapter " data-level="6.2.3" data-path="../binaryclass/news20_scw.html">
+ <li class="chapter " data-level="6.3.3" data-path="../binaryclass/news20_scw.html">
<a href="../binaryclass/news20_scw.html">
- <b>6.2.3.</b>
+ <b>6.3.3.</b>
CW, AROW, SCW
@@ -944,12 +965,12 @@
</li>
- <li class="chapter " data-level="6.2.4" data-path="../binaryclass/news20_adagrad.html">
+ <li class="chapter " data-level="6.3.4" data-path="../binaryclass/news20_adagrad.html">
<a href="../binaryclass/news20_adagrad.html">
- <b>6.2.4.</b>
+ <b>6.3.4.</b>
AdaGradRDA, AdaGrad, AdaDelta
@@ -964,14 +985,14 @@
</li>
- <li class="chapter " data-level="6.3" data-path="../binaryclass/kdd2010a.html">
+ <li class="chapter " data-level="6.4" data-path="../binaryclass/kdd2010a.html">
<a href="../binaryclass/kdd2010a.html">
- <b>6.3.</b>
+ <b>6.4.</b>
- KDD2010a
+ KDD2010a tutorial
</a>
@@ -980,12 +1001,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.3.1" data-path="../binaryclass/kdd2010a_dataset.html">
+ <li class="chapter " data-level="6.4.1" data-path="../binaryclass/kdd2010a_dataset.html">
<a href="../binaryclass/kdd2010a_dataset.html">
- <b>6.3.1.</b>
+ <b>6.4.1.</b>
Data preparation
@@ -995,12 +1016,12 @@
</li>
- <li class="chapter " data-level="6.3.2" data-path="../binaryclass/kdd2010a_scw.html">
+ <li class="chapter " data-level="6.4.2" data-path="../binaryclass/kdd2010a_scw.html">
<a href="../binaryclass/kdd2010a_scw.html">
- <b>6.3.2.</b>
+ <b>6.4.2.</b>
PA, CW, AROW, SCW
@@ -1015,14 +1036,14 @@
</li>
- <li class="chapter " data-level="6.4" data-path="../binaryclass/kdd2010b.html">
+ <li class="chapter " data-level="6.5" data-path="../binaryclass/kdd2010b.html">
<a href="../binaryclass/kdd2010b.html">
- <b>6.4.</b>
+ <b>6.5.</b>
- KDD2010b
+ KDD2010b tutorial
</a>
@@ -1031,12 +1052,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.4.1" data-path="../binaryclass/kdd2010b_dataset.html">
+ <li class="chapter " data-level="6.5.1" data-path="../binaryclass/kdd2010b_dataset.html">
<a href="../binaryclass/kdd2010b_dataset.html">
- <b>6.4.1.</b>
+ <b>6.5.1.</b>
Data preparation
@@ -1046,12 +1067,12 @@
</li>
- <li class="chapter " data-level="6.4.2" data-path="../binaryclass/kdd2010b_arow.html">
+ <li class="chapter " data-level="6.5.2" data-path="../binaryclass/kdd2010b_arow.html">
<a href="../binaryclass/kdd2010b_arow.html">
- <b>6.4.2.</b>
+ <b>6.5.2.</b>
AROW
@@ -1066,14 +1087,14 @@
</li>
- <li class="chapter " data-level="6.5" data-path="../binaryclass/webspam.html">
+ <li class="chapter " data-level="6.6" data-path="../binaryclass/webspam.html">
<a href="../binaryclass/webspam.html">
- <b>6.5.</b>
+ <b>6.6.</b>
- Webspam
+ Webspam tutorial
</a>
@@ -1082,12 +1103,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.5.1" data-path="../binaryclass/webspam_dataset.html">
+ <li class="chapter " data-level="6.6.1" data-path="../binaryclass/webspam_dataset.html">
<a href="../binaryclass/webspam_dataset.html">
- <b>6.5.1.</b>
+ <b>6.6.1.</b>
Data pareparation
@@ -1097,12 +1118,12 @@
</li>
- <li class="chapter " data-level="6.5.2" data-path="../binaryclass/webspam_scw.html">
+ <li class="chapter " data-level="6.6.2" data-path="../binaryclass/webspam_scw.html">
<a href="../binaryclass/webspam_scw.html">
- <b>6.5.2.</b>
+ <b>6.6.2.</b>
PA1, AROW, SCW
@@ -1117,14 +1138,14 @@
</li>
- <li class="chapter " data-level="6.6" data-path="../binaryclass/titanic_rf.html">
+ <li class="chapter " data-level="6.7" data-path="../binaryclass/titanic_rf.html">
<a href="../binaryclass/titanic_rf.html">
- <b>6.6.</b>
+ <b>6.7.</b>
- Kaggle Titanic
+ Kaggle Titanic tutorial
</a>
@@ -1135,7 +1156,7 @@
- <li class="header">Part VII - Multiclass classification tutorials</li>
+ <li class="header">Part VII - Multiclass classification</li>
@@ -1146,7 +1167,7 @@
<b>7.1.</b>
- News20 Multiclass
+ News20 Multiclass tutorial
</a>
@@ -1257,7 +1278,7 @@
<b>7.2.</b>
- Iris
+ Iris tutorial
</a>
@@ -1319,18 +1340,33 @@
- <li class="header">Part VIII - Regression tutorials</li>
+ <li class="header">Part VIII - Regression</li>
- <li class="chapter " data-level="8.1" data-path="../regression/e2006.html">
+ <li class="chapter " data-level="8.1" data-path="../regression/general.html">
- <a href="../regression/e2006.html">
+ <a href="../regression/general.html">
<b>8.1.</b>
- E2006-tfidf regression
+ Regression
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="8.2" data-path="../regression/e2006.html">
+
+ <a href="../regression/e2006.html">
+
+
+ <b>8.2.</b>
+
+ E2006-tfidf regression tutorial
</a>
@@ -1339,12 +1375,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.1.1" data-path="../regression/e2006_dataset.html">
+ <li class="chapter " data-level="8.2.1" data-path="../regression/e2006_dataset.html">
<a href="../regression/e2006_dataset.html">
- <b>8.1.1.</b>
+ <b>8.2.1.</b>
Data preparation
@@ -1354,12 +1390,12 @@
</li>
- <li class="chapter " data-level="8.1.2" data-path="../regression/e2006_arow.html">
+ <li class="chapter " data-level="8.2.2" data-path="../regression/e2006_arow.html">
<a href="../regression/e2006_arow.html">
- <b>8.1.2.</b>
+ <b>8.2.2.</b>
Passive Aggressive, AROW
@@ -1374,14 +1410,14 @@
</li>
- <li class="chapter " data-level="8.2" data-path="../regression/kddcup12tr2.html">
+ <li class="chapter " data-level="8.3" data-path="../regression/kddcup12tr2.html">
<a href="../regression/kddcup12tr2.html">
- <b>8.2.</b>
+ <b>8.3.</b>
- KDDCup 2012 track 2 CTR prediction
+ KDDCup 2012 track 2 CTR prediction tutorial
</a>
@@ -1390,12 +1426,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.2.1" data-path="../regression/kddcup12tr2_dataset.html">
+ <li class="chapter " data-level="8.3.1" data-path="../regression/kddcup12tr2_dataset.html">
<a href="../regression/kddcup12tr2_dataset.html">
- <b>8.2.1.</b>
+ <b>8.3.1.</b>
Data preparation
@@ -1405,12 +1441,12 @@
</li>
- <li class="chapter " data-level="8.2.2" data-path="../regression/kddcup12tr2_lr.html">
+ <li class="chapter " data-level="8.3.2" data-path="../regression/kddcup12tr2_lr.html">
<a href="../regression/kddcup12tr2_lr.html">
- <b>8.2.2.</b>
+ <b>8.3.2.</b>
Logistic Regression, Passive Aggressive
@@ -1420,12 +1456,12 @@
</li>
- <li class="chapter " data-level="8.2.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
+ <li class="chapter " data-level="8.3.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
<a href="../regression/kddcup12tr2_lr_amplify.html">
- <b>8.2.3.</b>
+ <b>8.3.3.</b>
Logistic Regression with Amplifier
@@ -1435,12 +1471,12 @@
</li>
- <li class="chapter " data-level="8.2.4" data-path="../regression/kddcup12tr2_adagrad.html">
+ <li class="chapter " data-level="8.3.4" data-path="../regression/kddcup12tr2_adagrad.html">
<a href="../regression/kddcup12tr2_adagrad.html">
- <b>8.2.4.</b>
+ <b>8.3.4.</b>
AdaGrad, AdaDelta
@@ -2395,7 +2431,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
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http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/ba518dab/userguide/multiclass/news20.html
----------------------------------------------------------------------
diff --git a/userguide/multiclass/news20.html b/userguide/multiclass/news20.html
index e1f48c9..3cf7325 100644
--- a/userguide/multiclass/news20.html
+++ b/userguide/multiclass/news20.html
@@ -4,7 +4,7 @@
<head>
<meta charset="UTF-8">
<meta content="text/html; charset=utf-8" http-equiv="Content-Type">
- <title>News20 Multiclass · Hivemall User Manual</title>
+ <title>News20 Multiclass tutorial · Hivemall User Manual</title>
<meta http-equiv="X-UA-Compatible" content="IE=edge" />
<meta name="description" content="">
<meta name="generator" content="GitBook 3.2.2">
@@ -598,14 +598,30 @@
</li>
- <li class="chapter " data-level="3.5" data-path="../ft_engineering/tfidf.html">
+ <li class="chapter " data-level="3.5" data-path="../ft_engineering/pairing.html">
- <a href="../ft_engineering/tfidf.html">
+ <a href="../ft_engineering/pairing.html">
<b>3.5.</b>
- TF-IDF Calculation
+ FEATURE PAIRING
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="3.5.1" data-path="../ft_engineering/polynomial.html">
+
+ <a href="../ft_engineering/polynomial.html">
+
+
+ <b>3.5.1.</b>
+
+ Polynomial Features
</a>
@@ -613,6 +629,11 @@
</li>
+
+ </ul>
+
+ </li>
+
<li class="chapter " data-level="3.6" data-path="../ft_engineering/ft_trans.html">
<a href="../ft_engineering/ft_trans.html">
@@ -664,6 +685,21 @@
</li>
+ <li class="chapter " data-level="3.7" data-path="../ft_engineering/tfidf.html">
+
+ <a href="../ft_engineering/tfidf.html">
+
+
+ <b>3.7.</b>
+
+ TF-IDF Calculation
+
+ </a>
+
+
+
+ </li>
+
@@ -761,7 +797,7 @@
- <li class="header">Part V - Prediction</li>
+ <li class="header">Part V - Supervised Learning</li>
@@ -780,27 +816,19 @@
</li>
- <li class="chapter " data-level="5.2" data-path="../regression/general.html">
-
- <a href="../regression/general.html">
-
-
- <b>5.2.</b>
-
- Regression
-
- </a>
-
-
- </li>
- <li class="chapter " data-level="5.3" data-path="../binaryclass/general.html">
+
+ <li class="header">Part VI - Binary classification</li>
+
+
+
+ <li class="chapter " data-level="6.1" data-path="../binaryclass/general.html">
<a href="../binaryclass/general.html">
- <b>5.3.</b>
+ <b>6.1.</b>
Binary Classification
@@ -810,21 +838,14 @@
</li>
-
-
-
- <li class="header">Part VI - Binary classification tutorials</li>
-
-
-
- <li class="chapter " data-level="6.1" data-path="../binaryclass/a9a.html">
+ <li class="chapter " data-level="6.2" data-path="../binaryclass/a9a.html">
<a href="../binaryclass/a9a.html">
- <b>6.1.</b>
+ <b>6.2.</b>
- a9a
+ a9a tutorial
</a>
@@ -833,12 +854,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.1.1" data-path="../binaryclass/a9a_dataset.html">
+ <li class="chapter " data-level="6.2.1" data-path="../binaryclass/a9a_dataset.html">
<a href="../binaryclass/a9a_dataset.html">
- <b>6.1.1.</b>
+ <b>6.2.1.</b>
Data preparation
@@ -848,12 +869,12 @@
</li>
- <li class="chapter " data-level="6.1.2" data-path="../binaryclass/a9a_lr.html">
+ <li class="chapter " data-level="6.2.2" data-path="../binaryclass/a9a_lr.html">
<a href="../binaryclass/a9a_lr.html">
- <b>6.1.2.</b>
+ <b>6.2.2.</b>
Logistic Regression
@@ -863,12 +884,12 @@
</li>
- <li class="chapter " data-level="6.1.3" data-path="../binaryclass/a9a_minibatch.html">
+ <li class="chapter " data-level="6.2.3" data-path="../binaryclass/a9a_minibatch.html">
<a href="../binaryclass/a9a_minibatch.html">
- <b>6.1.3.</b>
+ <b>6.2.3.</b>
Mini-batch Gradient Descent
@@ -883,14 +904,14 @@
</li>
- <li class="chapter " data-level="6.2" data-path="../binaryclass/news20.html">
+ <li class="chapter " data-level="6.3" data-path="../binaryclass/news20.html">
<a href="../binaryclass/news20.html">
- <b>6.2.</b>
+ <b>6.3.</b>
- News20
+ News20 tutorial
</a>
@@ -899,12 +920,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.2.1" data-path="../binaryclass/news20_dataset.html">
+ <li class="chapter " data-level="6.3.1" data-path="../binaryclass/news20_dataset.html">
<a href="../binaryclass/news20_dataset.html">
- <b>6.2.1.</b>
+ <b>6.3.1.</b>
Data preparation
@@ -914,12 +935,12 @@
</li>
- <li class="chapter " data-level="6.2.2" data-path="../binaryclass/news20_pa.html">
+ <li class="chapter " data-level="6.3.2" data-path="../binaryclass/news20_pa.html">
<a href="../binaryclass/news20_pa.html">
- <b>6.2.2.</b>
+ <b>6.3.2.</b>
Perceptron, Passive Aggressive
@@ -929,12 +950,12 @@
</li>
- <li class="chapter " data-level="6.2.3" data-path="../binaryclass/news20_scw.html">
+ <li class="chapter " data-level="6.3.3" data-path="../binaryclass/news20_scw.html">
<a href="../binaryclass/news20_scw.html">
- <b>6.2.3.</b>
+ <b>6.3.3.</b>
CW, AROW, SCW
@@ -944,12 +965,12 @@
</li>
- <li class="chapter " data-level="6.2.4" data-path="../binaryclass/news20_adagrad.html">
+ <li class="chapter " data-level="6.3.4" data-path="../binaryclass/news20_adagrad.html">
<a href="../binaryclass/news20_adagrad.html">
- <b>6.2.4.</b>
+ <b>6.3.4.</b>
AdaGradRDA, AdaGrad, AdaDelta
@@ -964,14 +985,14 @@
</li>
- <li class="chapter " data-level="6.3" data-path="../binaryclass/kdd2010a.html">
+ <li class="chapter " data-level="6.4" data-path="../binaryclass/kdd2010a.html">
<a href="../binaryclass/kdd2010a.html">
- <b>6.3.</b>
+ <b>6.4.</b>
- KDD2010a
+ KDD2010a tutorial
</a>
@@ -980,12 +1001,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.3.1" data-path="../binaryclass/kdd2010a_dataset.html">
+ <li class="chapter " data-level="6.4.1" data-path="../binaryclass/kdd2010a_dataset.html">
<a href="../binaryclass/kdd2010a_dataset.html">
- <b>6.3.1.</b>
+ <b>6.4.1.</b>
Data preparation
@@ -995,12 +1016,12 @@
</li>
- <li class="chapter " data-level="6.3.2" data-path="../binaryclass/kdd2010a_scw.html">
+ <li class="chapter " data-level="6.4.2" data-path="../binaryclass/kdd2010a_scw.html">
<a href="../binaryclass/kdd2010a_scw.html">
- <b>6.3.2.</b>
+ <b>6.4.2.</b>
PA, CW, AROW, SCW
@@ -1015,14 +1036,14 @@
</li>
- <li class="chapter " data-level="6.4" data-path="../binaryclass/kdd2010b.html">
+ <li class="chapter " data-level="6.5" data-path="../binaryclass/kdd2010b.html">
<a href="../binaryclass/kdd2010b.html">
- <b>6.4.</b>
+ <b>6.5.</b>
- KDD2010b
+ KDD2010b tutorial
</a>
@@ -1031,12 +1052,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.4.1" data-path="../binaryclass/kdd2010b_dataset.html">
+ <li class="chapter " data-level="6.5.1" data-path="../binaryclass/kdd2010b_dataset.html">
<a href="../binaryclass/kdd2010b_dataset.html">
- <b>6.4.1.</b>
+ <b>6.5.1.</b>
Data preparation
@@ -1046,12 +1067,12 @@
</li>
- <li class="chapter " data-level="6.4.2" data-path="../binaryclass/kdd2010b_arow.html">
+ <li class="chapter " data-level="6.5.2" data-path="../binaryclass/kdd2010b_arow.html">
<a href="../binaryclass/kdd2010b_arow.html">
- <b>6.4.2.</b>
+ <b>6.5.2.</b>
AROW
@@ -1066,14 +1087,14 @@
</li>
- <li class="chapter " data-level="6.5" data-path="../binaryclass/webspam.html">
+ <li class="chapter " data-level="6.6" data-path="../binaryclass/webspam.html">
<a href="../binaryclass/webspam.html">
- <b>6.5.</b>
+ <b>6.6.</b>
- Webspam
+ Webspam tutorial
</a>
@@ -1082,12 +1103,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.5.1" data-path="../binaryclass/webspam_dataset.html">
+ <li class="chapter " data-level="6.6.1" data-path="../binaryclass/webspam_dataset.html">
<a href="../binaryclass/webspam_dataset.html">
- <b>6.5.1.</b>
+ <b>6.6.1.</b>
Data pareparation
@@ -1097,12 +1118,12 @@
</li>
- <li class="chapter " data-level="6.5.2" data-path="../binaryclass/webspam_scw.html">
+ <li class="chapter " data-level="6.6.2" data-path="../binaryclass/webspam_scw.html">
<a href="../binaryclass/webspam_scw.html">
- <b>6.5.2.</b>
+ <b>6.6.2.</b>
PA1, AROW, SCW
@@ -1117,14 +1138,14 @@
</li>
- <li class="chapter " data-level="6.6" data-path="../binaryclass/titanic_rf.html">
+ <li class="chapter " data-level="6.7" data-path="../binaryclass/titanic_rf.html">
<a href="../binaryclass/titanic_rf.html">
- <b>6.6.</b>
+ <b>6.7.</b>
- Kaggle Titanic
+ Kaggle Titanic tutorial
</a>
@@ -1135,7 +1156,7 @@
- <li class="header">Part VII - Multiclass classification tutorials</li>
+ <li class="header">Part VII - Multiclass classification</li>
@@ -1146,7 +1167,7 @@
<b>7.1.</b>
- News20 Multiclass
+ News20 Multiclass tutorial
</a>
@@ -1257,7 +1278,7 @@
<b>7.2.</b>
- Iris
+ Iris tutorial
</a>
@@ -1319,18 +1340,33 @@
- <li class="header">Part VIII - Regression tutorials</li>
+ <li class="header">Part VIII - Regression</li>
- <li class="chapter " data-level="8.1" data-path="../regression/e2006.html">
+ <li class="chapter " data-level="8.1" data-path="../regression/general.html">
- <a href="../regression/e2006.html">
+ <a href="../regression/general.html">
<b>8.1.</b>
- E2006-tfidf regression
+ Regression
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="8.2" data-path="../regression/e2006.html">
+
+ <a href="../regression/e2006.html">
+
+
+ <b>8.2.</b>
+
+ E2006-tfidf regression tutorial
</a>
@@ -1339,12 +1375,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.1.1" data-path="../regression/e2006_dataset.html">
+ <li class="chapter " data-level="8.2.1" data-path="../regression/e2006_dataset.html">
<a href="../regression/e2006_dataset.html">
- <b>8.1.1.</b>
+ <b>8.2.1.</b>
Data preparation
@@ -1354,12 +1390,12 @@
</li>
- <li class="chapter " data-level="8.1.2" data-path="../regression/e2006_arow.html">
+ <li class="chapter " data-level="8.2.2" data-path="../regression/e2006_arow.html">
<a href="../regression/e2006_arow.html">
- <b>8.1.2.</b>
+ <b>8.2.2.</b>
Passive Aggressive, AROW
@@ -1374,14 +1410,14 @@
</li>
- <li class="chapter " data-level="8.2" data-path="../regression/kddcup12tr2.html">
+ <li class="chapter " data-level="8.3" data-path="../regression/kddcup12tr2.html">
<a href="../regression/kddcup12tr2.html">
- <b>8.2.</b>
+ <b>8.3.</b>
- KDDCup 2012 track 2 CTR prediction
+ KDDCup 2012 track 2 CTR prediction tutorial
</a>
@@ -1390,12 +1426,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.2.1" data-path="../regression/kddcup12tr2_dataset.html">
+ <li class="chapter " data-level="8.3.1" data-path="../regression/kddcup12tr2_dataset.html">
<a href="../regression/kddcup12tr2_dataset.html">
- <b>8.2.1.</b>
+ <b>8.3.1.</b>
Data preparation
@@ -1405,12 +1441,12 @@
</li>
- <li class="chapter " data-level="8.2.2" data-path="../regression/kddcup12tr2_lr.html">
+ <li class="chapter " data-level="8.3.2" data-path="../regression/kddcup12tr2_lr.html">
<a href="../regression/kddcup12tr2_lr.html">
- <b>8.2.2.</b>
+ <b>8.3.2.</b>
Logistic Regression, Passive Aggressive
@@ -1420,12 +1456,12 @@
</li>
- <li class="chapter " data-level="8.2.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
+ <li class="chapter " data-level="8.3.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
<a href="../regression/kddcup12tr2_lr_amplify.html">
- <b>8.2.3.</b>
+ <b>8.3.3.</b>
Logistic Regression with Amplifier
@@ -1435,12 +1471,12 @@
</li>
- <li class="chapter " data-level="8.2.4" data-path="../regression/kddcup12tr2_adagrad.html">
+ <li class="chapter " data-level="8.3.4" data-path="../regression/kddcup12tr2_adagrad.html">
<a href="../regression/kddcup12tr2_adagrad.html">
- <b>8.2.4.</b>
+ <b>8.3.4.</b>
AdaGrad, AdaDelta
@@ -2041,7 +2077,7 @@
<!-- Title -->
<h1>
<i class="fa fa-circle-o-notch fa-spin"></i>
- <a href=".." >News20 Multiclass</a>
+ <a href=".." >News20 Multiclass tutorial</a>
</h1>
</div>
@@ -2129,7 +2165,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
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[06/41] incubator-hivemall-site git commit: Added descriptions about
Feature Pairing in the user guide
Posted by my...@apache.org.
http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/ba518dab/userguide/spark/misc/topk_join.html
----------------------------------------------------------------------
diff --git a/userguide/spark/misc/topk_join.html b/userguide/spark/misc/topk_join.html
index f284372..576d480 100644
--- a/userguide/spark/misc/topk_join.html
+++ b/userguide/spark/misc/topk_join.html
@@ -598,14 +598,30 @@
</li>
- <li class="chapter " data-level="3.5" data-path="../../ft_engineering/tfidf.html">
+ <li class="chapter " data-level="3.5" data-path="../../ft_engineering/pairing.html">
- <a href="../../ft_engineering/tfidf.html">
+ <a href="../../ft_engineering/pairing.html">
<b>3.5.</b>
- TF-IDF Calculation
+ FEATURE PAIRING
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="3.5.1" data-path="../../ft_engineering/polynomial.html">
+
+ <a href="../../ft_engineering/polynomial.html">
+
+
+ <b>3.5.1.</b>
+
+ Polynomial Features
</a>
@@ -613,6 +629,11 @@
</li>
+
+ </ul>
+
+ </li>
+
<li class="chapter " data-level="3.6" data-path="../../ft_engineering/ft_trans.html">
<a href="../../ft_engineering/ft_trans.html">
@@ -664,6 +685,21 @@
</li>
+ <li class="chapter " data-level="3.7" data-path="../../ft_engineering/tfidf.html">
+
+ <a href="../../ft_engineering/tfidf.html">
+
+
+ <b>3.7.</b>
+
+ TF-IDF Calculation
+
+ </a>
+
+
+
+ </li>
+
@@ -761,7 +797,7 @@
- <li class="header">Part V - Prediction</li>
+ <li class="header">Part V - Supervised Learning</li>
@@ -780,27 +816,19 @@
</li>
- <li class="chapter " data-level="5.2" data-path="../../regression/general.html">
-
- <a href="../../regression/general.html">
-
-
- <b>5.2.</b>
-
- Regression
-
- </a>
-
-
- </li>
- <li class="chapter " data-level="5.3" data-path="../../binaryclass/general.html">
+
+ <li class="header">Part VI - Binary classification</li>
+
+
+
+ <li class="chapter " data-level="6.1" data-path="../../binaryclass/general.html">
<a href="../../binaryclass/general.html">
- <b>5.3.</b>
+ <b>6.1.</b>
Binary Classification
@@ -810,21 +838,14 @@
</li>
-
-
-
- <li class="header">Part VI - Binary classification tutorials</li>
-
-
-
- <li class="chapter " data-level="6.1" data-path="../../binaryclass/a9a.html">
+ <li class="chapter " data-level="6.2" data-path="../../binaryclass/a9a.html">
<a href="../../binaryclass/a9a.html">
- <b>6.1.</b>
+ <b>6.2.</b>
- a9a
+ a9a tutorial
</a>
@@ -833,12 +854,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.1.1" data-path="../../binaryclass/a9a_dataset.html">
+ <li class="chapter " data-level="6.2.1" data-path="../../binaryclass/a9a_dataset.html">
<a href="../../binaryclass/a9a_dataset.html">
- <b>6.1.1.</b>
+ <b>6.2.1.</b>
Data preparation
@@ -848,12 +869,12 @@
</li>
- <li class="chapter " data-level="6.1.2" data-path="../../binaryclass/a9a_lr.html">
+ <li class="chapter " data-level="6.2.2" data-path="../../binaryclass/a9a_lr.html">
<a href="../../binaryclass/a9a_lr.html">
- <b>6.1.2.</b>
+ <b>6.2.2.</b>
Logistic Regression
@@ -863,12 +884,12 @@
</li>
- <li class="chapter " data-level="6.1.3" data-path="../../binaryclass/a9a_minibatch.html">
+ <li class="chapter " data-level="6.2.3" data-path="../../binaryclass/a9a_minibatch.html">
<a href="../../binaryclass/a9a_minibatch.html">
- <b>6.1.3.</b>
+ <b>6.2.3.</b>
Mini-batch Gradient Descent
@@ -883,14 +904,14 @@
</li>
- <li class="chapter " data-level="6.2" data-path="../../binaryclass/news20.html">
+ <li class="chapter " data-level="6.3" data-path="../../binaryclass/news20.html">
<a href="../../binaryclass/news20.html">
- <b>6.2.</b>
+ <b>6.3.</b>
- News20
+ News20 tutorial
</a>
@@ -899,12 +920,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.2.1" data-path="../../binaryclass/news20_dataset.html">
+ <li class="chapter " data-level="6.3.1" data-path="../../binaryclass/news20_dataset.html">
<a href="../../binaryclass/news20_dataset.html">
- <b>6.2.1.</b>
+ <b>6.3.1.</b>
Data preparation
@@ -914,12 +935,12 @@
</li>
- <li class="chapter " data-level="6.2.2" data-path="../../binaryclass/news20_pa.html">
+ <li class="chapter " data-level="6.3.2" data-path="../../binaryclass/news20_pa.html">
<a href="../../binaryclass/news20_pa.html">
- <b>6.2.2.</b>
+ <b>6.3.2.</b>
Perceptron, Passive Aggressive
@@ -929,12 +950,12 @@
</li>
- <li class="chapter " data-level="6.2.3" data-path="../../binaryclass/news20_scw.html">
+ <li class="chapter " data-level="6.3.3" data-path="../../binaryclass/news20_scw.html">
<a href="../../binaryclass/news20_scw.html">
- <b>6.2.3.</b>
+ <b>6.3.3.</b>
CW, AROW, SCW
@@ -944,12 +965,12 @@
</li>
- <li class="chapter " data-level="6.2.4" data-path="../../binaryclass/news20_adagrad.html">
+ <li class="chapter " data-level="6.3.4" data-path="../../binaryclass/news20_adagrad.html">
<a href="../../binaryclass/news20_adagrad.html">
- <b>6.2.4.</b>
+ <b>6.3.4.</b>
AdaGradRDA, AdaGrad, AdaDelta
@@ -964,14 +985,14 @@
</li>
- <li class="chapter " data-level="6.3" data-path="../../binaryclass/kdd2010a.html">
+ <li class="chapter " data-level="6.4" data-path="../../binaryclass/kdd2010a.html">
<a href="../../binaryclass/kdd2010a.html">
- <b>6.3.</b>
+ <b>6.4.</b>
- KDD2010a
+ KDD2010a tutorial
</a>
@@ -980,12 +1001,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.3.1" data-path="../../binaryclass/kdd2010a_dataset.html">
+ <li class="chapter " data-level="6.4.1" data-path="../../binaryclass/kdd2010a_dataset.html">
<a href="../../binaryclass/kdd2010a_dataset.html">
- <b>6.3.1.</b>
+ <b>6.4.1.</b>
Data preparation
@@ -995,12 +1016,12 @@
</li>
- <li class="chapter " data-level="6.3.2" data-path="../../binaryclass/kdd2010a_scw.html">
+ <li class="chapter " data-level="6.4.2" data-path="../../binaryclass/kdd2010a_scw.html">
<a href="../../binaryclass/kdd2010a_scw.html">
- <b>6.3.2.</b>
+ <b>6.4.2.</b>
PA, CW, AROW, SCW
@@ -1015,14 +1036,14 @@
</li>
- <li class="chapter " data-level="6.4" data-path="../../binaryclass/kdd2010b.html">
+ <li class="chapter " data-level="6.5" data-path="../../binaryclass/kdd2010b.html">
<a href="../../binaryclass/kdd2010b.html">
- <b>6.4.</b>
+ <b>6.5.</b>
- KDD2010b
+ KDD2010b tutorial
</a>
@@ -1031,12 +1052,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.4.1" data-path="../../binaryclass/kdd2010b_dataset.html">
+ <li class="chapter " data-level="6.5.1" data-path="../../binaryclass/kdd2010b_dataset.html">
<a href="../../binaryclass/kdd2010b_dataset.html">
- <b>6.4.1.</b>
+ <b>6.5.1.</b>
Data preparation
@@ -1046,12 +1067,12 @@
</li>
- <li class="chapter " data-level="6.4.2" data-path="../../binaryclass/kdd2010b_arow.html">
+ <li class="chapter " data-level="6.5.2" data-path="../../binaryclass/kdd2010b_arow.html">
<a href="../../binaryclass/kdd2010b_arow.html">
- <b>6.4.2.</b>
+ <b>6.5.2.</b>
AROW
@@ -1066,14 +1087,14 @@
</li>
- <li class="chapter " data-level="6.5" data-path="../../binaryclass/webspam.html">
+ <li class="chapter " data-level="6.6" data-path="../../binaryclass/webspam.html">
<a href="../../binaryclass/webspam.html">
- <b>6.5.</b>
+ <b>6.6.</b>
- Webspam
+ Webspam tutorial
</a>
@@ -1082,12 +1103,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.5.1" data-path="../../binaryclass/webspam_dataset.html">
+ <li class="chapter " data-level="6.6.1" data-path="../../binaryclass/webspam_dataset.html">
<a href="../../binaryclass/webspam_dataset.html">
- <b>6.5.1.</b>
+ <b>6.6.1.</b>
Data pareparation
@@ -1097,12 +1118,12 @@
</li>
- <li class="chapter " data-level="6.5.2" data-path="../../binaryclass/webspam_scw.html">
+ <li class="chapter " data-level="6.6.2" data-path="../../binaryclass/webspam_scw.html">
<a href="../../binaryclass/webspam_scw.html">
- <b>6.5.2.</b>
+ <b>6.6.2.</b>
PA1, AROW, SCW
@@ -1117,14 +1138,14 @@
</li>
- <li class="chapter " data-level="6.6" data-path="../../binaryclass/titanic_rf.html">
+ <li class="chapter " data-level="6.7" data-path="../../binaryclass/titanic_rf.html">
<a href="../../binaryclass/titanic_rf.html">
- <b>6.6.</b>
+ <b>6.7.</b>
- Kaggle Titanic
+ Kaggle Titanic tutorial
</a>
@@ -1135,7 +1156,7 @@
- <li class="header">Part VII - Multiclass classification tutorials</li>
+ <li class="header">Part VII - Multiclass classification</li>
@@ -1146,7 +1167,7 @@
<b>7.1.</b>
- News20 Multiclass
+ News20 Multiclass tutorial
</a>
@@ -1257,7 +1278,7 @@
<b>7.2.</b>
- Iris
+ Iris tutorial
</a>
@@ -1319,18 +1340,33 @@
- <li class="header">Part VIII - Regression tutorials</li>
+ <li class="header">Part VIII - Regression</li>
- <li class="chapter " data-level="8.1" data-path="../../regression/e2006.html">
+ <li class="chapter " data-level="8.1" data-path="../../regression/general.html">
- <a href="../../regression/e2006.html">
+ <a href="../../regression/general.html">
<b>8.1.</b>
- E2006-tfidf regression
+ Regression
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="8.2" data-path="../../regression/e2006.html">
+
+ <a href="../../regression/e2006.html">
+
+
+ <b>8.2.</b>
+
+ E2006-tfidf regression tutorial
</a>
@@ -1339,12 +1375,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.1.1" data-path="../../regression/e2006_dataset.html">
+ <li class="chapter " data-level="8.2.1" data-path="../../regression/e2006_dataset.html">
<a href="../../regression/e2006_dataset.html">
- <b>8.1.1.</b>
+ <b>8.2.1.</b>
Data preparation
@@ -1354,12 +1390,12 @@
</li>
- <li class="chapter " data-level="8.1.2" data-path="../../regression/e2006_arow.html">
+ <li class="chapter " data-level="8.2.2" data-path="../../regression/e2006_arow.html">
<a href="../../regression/e2006_arow.html">
- <b>8.1.2.</b>
+ <b>8.2.2.</b>
Passive Aggressive, AROW
@@ -1374,14 +1410,14 @@
</li>
- <li class="chapter " data-level="8.2" data-path="../../regression/kddcup12tr2.html">
+ <li class="chapter " data-level="8.3" data-path="../../regression/kddcup12tr2.html">
<a href="../../regression/kddcup12tr2.html">
- <b>8.2.</b>
+ <b>8.3.</b>
- KDDCup 2012 track 2 CTR prediction
+ KDDCup 2012 track 2 CTR prediction tutorial
</a>
@@ -1390,12 +1426,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.2.1" data-path="../../regression/kddcup12tr2_dataset.html">
+ <li class="chapter " data-level="8.3.1" data-path="../../regression/kddcup12tr2_dataset.html">
<a href="../../regression/kddcup12tr2_dataset.html">
- <b>8.2.1.</b>
+ <b>8.3.1.</b>
Data preparation
@@ -1405,12 +1441,12 @@
</li>
- <li class="chapter " data-level="8.2.2" data-path="../../regression/kddcup12tr2_lr.html">
+ <li class="chapter " data-level="8.3.2" data-path="../../regression/kddcup12tr2_lr.html">
<a href="../../regression/kddcup12tr2_lr.html">
- <b>8.2.2.</b>
+ <b>8.3.2.</b>
Logistic Regression, Passive Aggressive
@@ -1420,12 +1456,12 @@
</li>
- <li class="chapter " data-level="8.2.3" data-path="../../regression/kddcup12tr2_lr_amplify.html">
+ <li class="chapter " data-level="8.3.3" data-path="../../regression/kddcup12tr2_lr_amplify.html">
<a href="../../regression/kddcup12tr2_lr_amplify.html">
- <b>8.2.3.</b>
+ <b>8.3.3.</b>
Logistic Regression with Amplifier
@@ -1435,12 +1471,12 @@
</li>
- <li class="chapter " data-level="8.2.4" data-path="../../regression/kddcup12tr2_adagrad.html">
+ <li class="chapter " data-level="8.3.4" data-path="../../regression/kddcup12tr2_adagrad.html">
<a href="../../regression/kddcup12tr2_adagrad.html">
- <b>8.2.4.</b>
+ <b>8.3.4.</b>
AdaGrad, AdaDelta
@@ -2308,7 +2344,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
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http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/ba518dab/userguide/spark/regression/e2006_df.html
----------------------------------------------------------------------
diff --git a/userguide/spark/regression/e2006_df.html b/userguide/spark/regression/e2006_df.html
index 250d35e..0b786ed 100644
--- a/userguide/spark/regression/e2006_df.html
+++ b/userguide/spark/regression/e2006_df.html
@@ -598,14 +598,30 @@
</li>
- <li class="chapter " data-level="3.5" data-path="../../ft_engineering/tfidf.html">
+ <li class="chapter " data-level="3.5" data-path="../../ft_engineering/pairing.html">
- <a href="../../ft_engineering/tfidf.html">
+ <a href="../../ft_engineering/pairing.html">
<b>3.5.</b>
- TF-IDF Calculation
+ FEATURE PAIRING
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="3.5.1" data-path="../../ft_engineering/polynomial.html">
+
+ <a href="../../ft_engineering/polynomial.html">
+
+
+ <b>3.5.1.</b>
+
+ Polynomial Features
</a>
@@ -613,6 +629,11 @@
</li>
+
+ </ul>
+
+ </li>
+
<li class="chapter " data-level="3.6" data-path="../../ft_engineering/ft_trans.html">
<a href="../../ft_engineering/ft_trans.html">
@@ -664,6 +685,21 @@
</li>
+ <li class="chapter " data-level="3.7" data-path="../../ft_engineering/tfidf.html">
+
+ <a href="../../ft_engineering/tfidf.html">
+
+
+ <b>3.7.</b>
+
+ TF-IDF Calculation
+
+ </a>
+
+
+
+ </li>
+
@@ -761,7 +797,7 @@
- <li class="header">Part V - Prediction</li>
+ <li class="header">Part V - Supervised Learning</li>
@@ -780,27 +816,19 @@
</li>
- <li class="chapter " data-level="5.2" data-path="../../regression/general.html">
-
- <a href="../../regression/general.html">
-
-
- <b>5.2.</b>
-
- Regression
-
- </a>
-
-
- </li>
- <li class="chapter " data-level="5.3" data-path="../../binaryclass/general.html">
+
+ <li class="header">Part VI - Binary classification</li>
+
+
+
+ <li class="chapter " data-level="6.1" data-path="../../binaryclass/general.html">
<a href="../../binaryclass/general.html">
- <b>5.3.</b>
+ <b>6.1.</b>
Binary Classification
@@ -810,21 +838,14 @@
</li>
-
-
-
- <li class="header">Part VI - Binary classification tutorials</li>
-
-
-
- <li class="chapter " data-level="6.1" data-path="../../binaryclass/a9a.html">
+ <li class="chapter " data-level="6.2" data-path="../../binaryclass/a9a.html">
<a href="../../binaryclass/a9a.html">
- <b>6.1.</b>
+ <b>6.2.</b>
- a9a
+ a9a tutorial
</a>
@@ -833,12 +854,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.1.1" data-path="../../binaryclass/a9a_dataset.html">
+ <li class="chapter " data-level="6.2.1" data-path="../../binaryclass/a9a_dataset.html">
<a href="../../binaryclass/a9a_dataset.html">
- <b>6.1.1.</b>
+ <b>6.2.1.</b>
Data preparation
@@ -848,12 +869,12 @@
</li>
- <li class="chapter " data-level="6.1.2" data-path="../../binaryclass/a9a_lr.html">
+ <li class="chapter " data-level="6.2.2" data-path="../../binaryclass/a9a_lr.html">
<a href="../../binaryclass/a9a_lr.html">
- <b>6.1.2.</b>
+ <b>6.2.2.</b>
Logistic Regression
@@ -863,12 +884,12 @@
</li>
- <li class="chapter " data-level="6.1.3" data-path="../../binaryclass/a9a_minibatch.html">
+ <li class="chapter " data-level="6.2.3" data-path="../../binaryclass/a9a_minibatch.html">
<a href="../../binaryclass/a9a_minibatch.html">
- <b>6.1.3.</b>
+ <b>6.2.3.</b>
Mini-batch Gradient Descent
@@ -883,14 +904,14 @@
</li>
- <li class="chapter " data-level="6.2" data-path="../../binaryclass/news20.html">
+ <li class="chapter " data-level="6.3" data-path="../../binaryclass/news20.html">
<a href="../../binaryclass/news20.html">
- <b>6.2.</b>
+ <b>6.3.</b>
- News20
+ News20 tutorial
</a>
@@ -899,12 +920,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.2.1" data-path="../../binaryclass/news20_dataset.html">
+ <li class="chapter " data-level="6.3.1" data-path="../../binaryclass/news20_dataset.html">
<a href="../../binaryclass/news20_dataset.html">
- <b>6.2.1.</b>
+ <b>6.3.1.</b>
Data preparation
@@ -914,12 +935,12 @@
</li>
- <li class="chapter " data-level="6.2.2" data-path="../../binaryclass/news20_pa.html">
+ <li class="chapter " data-level="6.3.2" data-path="../../binaryclass/news20_pa.html">
<a href="../../binaryclass/news20_pa.html">
- <b>6.2.2.</b>
+ <b>6.3.2.</b>
Perceptron, Passive Aggressive
@@ -929,12 +950,12 @@
</li>
- <li class="chapter " data-level="6.2.3" data-path="../../binaryclass/news20_scw.html">
+ <li class="chapter " data-level="6.3.3" data-path="../../binaryclass/news20_scw.html">
<a href="../../binaryclass/news20_scw.html">
- <b>6.2.3.</b>
+ <b>6.3.3.</b>
CW, AROW, SCW
@@ -944,12 +965,12 @@
</li>
- <li class="chapter " data-level="6.2.4" data-path="../../binaryclass/news20_adagrad.html">
+ <li class="chapter " data-level="6.3.4" data-path="../../binaryclass/news20_adagrad.html">
<a href="../../binaryclass/news20_adagrad.html">
- <b>6.2.4.</b>
+ <b>6.3.4.</b>
AdaGradRDA, AdaGrad, AdaDelta
@@ -964,14 +985,14 @@
</li>
- <li class="chapter " data-level="6.3" data-path="../../binaryclass/kdd2010a.html">
+ <li class="chapter " data-level="6.4" data-path="../../binaryclass/kdd2010a.html">
<a href="../../binaryclass/kdd2010a.html">
- <b>6.3.</b>
+ <b>6.4.</b>
- KDD2010a
+ KDD2010a tutorial
</a>
@@ -980,12 +1001,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.3.1" data-path="../../binaryclass/kdd2010a_dataset.html">
+ <li class="chapter " data-level="6.4.1" data-path="../../binaryclass/kdd2010a_dataset.html">
<a href="../../binaryclass/kdd2010a_dataset.html">
- <b>6.3.1.</b>
+ <b>6.4.1.</b>
Data preparation
@@ -995,12 +1016,12 @@
</li>
- <li class="chapter " data-level="6.3.2" data-path="../../binaryclass/kdd2010a_scw.html">
+ <li class="chapter " data-level="6.4.2" data-path="../../binaryclass/kdd2010a_scw.html">
<a href="../../binaryclass/kdd2010a_scw.html">
- <b>6.3.2.</b>
+ <b>6.4.2.</b>
PA, CW, AROW, SCW
@@ -1015,14 +1036,14 @@
</li>
- <li class="chapter " data-level="6.4" data-path="../../binaryclass/kdd2010b.html">
+ <li class="chapter " data-level="6.5" data-path="../../binaryclass/kdd2010b.html">
<a href="../../binaryclass/kdd2010b.html">
- <b>6.4.</b>
+ <b>6.5.</b>
- KDD2010b
+ KDD2010b tutorial
</a>
@@ -1031,12 +1052,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.4.1" data-path="../../binaryclass/kdd2010b_dataset.html">
+ <li class="chapter " data-level="6.5.1" data-path="../../binaryclass/kdd2010b_dataset.html">
<a href="../../binaryclass/kdd2010b_dataset.html">
- <b>6.4.1.</b>
+ <b>6.5.1.</b>
Data preparation
@@ -1046,12 +1067,12 @@
</li>
- <li class="chapter " data-level="6.4.2" data-path="../../binaryclass/kdd2010b_arow.html">
+ <li class="chapter " data-level="6.5.2" data-path="../../binaryclass/kdd2010b_arow.html">
<a href="../../binaryclass/kdd2010b_arow.html">
- <b>6.4.2.</b>
+ <b>6.5.2.</b>
AROW
@@ -1066,14 +1087,14 @@
</li>
- <li class="chapter " data-level="6.5" data-path="../../binaryclass/webspam.html">
+ <li class="chapter " data-level="6.6" data-path="../../binaryclass/webspam.html">
<a href="../../binaryclass/webspam.html">
- <b>6.5.</b>
+ <b>6.6.</b>
- Webspam
+ Webspam tutorial
</a>
@@ -1082,12 +1103,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.5.1" data-path="../../binaryclass/webspam_dataset.html">
+ <li class="chapter " data-level="6.6.1" data-path="../../binaryclass/webspam_dataset.html">
<a href="../../binaryclass/webspam_dataset.html">
- <b>6.5.1.</b>
+ <b>6.6.1.</b>
Data pareparation
@@ -1097,12 +1118,12 @@
</li>
- <li class="chapter " data-level="6.5.2" data-path="../../binaryclass/webspam_scw.html">
+ <li class="chapter " data-level="6.6.2" data-path="../../binaryclass/webspam_scw.html">
<a href="../../binaryclass/webspam_scw.html">
- <b>6.5.2.</b>
+ <b>6.6.2.</b>
PA1, AROW, SCW
@@ -1117,14 +1138,14 @@
</li>
- <li class="chapter " data-level="6.6" data-path="../../binaryclass/titanic_rf.html">
+ <li class="chapter " data-level="6.7" data-path="../../binaryclass/titanic_rf.html">
<a href="../../binaryclass/titanic_rf.html">
- <b>6.6.</b>
+ <b>6.7.</b>
- Kaggle Titanic
+ Kaggle Titanic tutorial
</a>
@@ -1135,7 +1156,7 @@
- <li class="header">Part VII - Multiclass classification tutorials</li>
+ <li class="header">Part VII - Multiclass classification</li>
@@ -1146,7 +1167,7 @@
<b>7.1.</b>
- News20 Multiclass
+ News20 Multiclass tutorial
</a>
@@ -1257,7 +1278,7 @@
<b>7.2.</b>
- Iris
+ Iris tutorial
</a>
@@ -1319,18 +1340,33 @@
- <li class="header">Part VIII - Regression tutorials</li>
+ <li class="header">Part VIII - Regression</li>
- <li class="chapter " data-level="8.1" data-path="../../regression/e2006.html">
+ <li class="chapter " data-level="8.1" data-path="../../regression/general.html">
- <a href="../../regression/e2006.html">
+ <a href="../../regression/general.html">
<b>8.1.</b>
- E2006-tfidf regression
+ Regression
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="8.2" data-path="../../regression/e2006.html">
+
+ <a href="../../regression/e2006.html">
+
+
+ <b>8.2.</b>
+
+ E2006-tfidf regression tutorial
</a>
@@ -1339,12 +1375,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.1.1" data-path="../../regression/e2006_dataset.html">
+ <li class="chapter " data-level="8.2.1" data-path="../../regression/e2006_dataset.html">
<a href="../../regression/e2006_dataset.html">
- <b>8.1.1.</b>
+ <b>8.2.1.</b>
Data preparation
@@ -1354,12 +1390,12 @@
</li>
- <li class="chapter " data-level="8.1.2" data-path="../../regression/e2006_arow.html">
+ <li class="chapter " data-level="8.2.2" data-path="../../regression/e2006_arow.html">
<a href="../../regression/e2006_arow.html">
- <b>8.1.2.</b>
+ <b>8.2.2.</b>
Passive Aggressive, AROW
@@ -1374,14 +1410,14 @@
</li>
- <li class="chapter " data-level="8.2" data-path="../../regression/kddcup12tr2.html">
+ <li class="chapter " data-level="8.3" data-path="../../regression/kddcup12tr2.html">
<a href="../../regression/kddcup12tr2.html">
- <b>8.2.</b>
+ <b>8.3.</b>
- KDDCup 2012 track 2 CTR prediction
+ KDDCup 2012 track 2 CTR prediction tutorial
</a>
@@ -1390,12 +1426,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.2.1" data-path="../../regression/kddcup12tr2_dataset.html">
+ <li class="chapter " data-level="8.3.1" data-path="../../regression/kddcup12tr2_dataset.html">
<a href="../../regression/kddcup12tr2_dataset.html">
- <b>8.2.1.</b>
+ <b>8.3.1.</b>
Data preparation
@@ -1405,12 +1441,12 @@
</li>
- <li class="chapter " data-level="8.2.2" data-path="../../regression/kddcup12tr2_lr.html">
+ <li class="chapter " data-level="8.3.2" data-path="../../regression/kddcup12tr2_lr.html">
<a href="../../regression/kddcup12tr2_lr.html">
- <b>8.2.2.</b>
+ <b>8.3.2.</b>
Logistic Regression, Passive Aggressive
@@ -1420,12 +1456,12 @@
</li>
- <li class="chapter " data-level="8.2.3" data-path="../../regression/kddcup12tr2_lr_amplify.html">
+ <li class="chapter " data-level="8.3.3" data-path="../../regression/kddcup12tr2_lr_amplify.html">
<a href="../../regression/kddcup12tr2_lr_amplify.html">
- <b>8.2.3.</b>
+ <b>8.3.3.</b>
Logistic Regression with Amplifier
@@ -1435,12 +1471,12 @@
</li>
- <li class="chapter " data-level="8.2.4" data-path="../../regression/kddcup12tr2_adagrad.html">
+ <li class="chapter " data-level="8.3.4" data-path="../../regression/kddcup12tr2_adagrad.html">
<a href="../../regression/kddcup12tr2_adagrad.html">
- <b>8.2.4.</b>
+ <b>8.3.4.</b>
AdaGrad, AdaDelta
@@ -2193,7 +2229,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
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index 24161a4..6f4d632 100644
--- a/userguide/tips/addbias.html
+++ b/userguide/tips/addbias.html
@@ -598,14 +598,30 @@
</li>
- <li class="chapter " data-level="3.5" data-path="../ft_engineering/tfidf.html">
+ <li class="chapter " data-level="3.5" data-path="../ft_engineering/pairing.html">
- <a href="../ft_engineering/tfidf.html">
+ <a href="../ft_engineering/pairing.html">
<b>3.5.</b>
- TF-IDF Calculation
+ FEATURE PAIRING
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="3.5.1" data-path="../ft_engineering/polynomial.html">
+
+ <a href="../ft_engineering/polynomial.html">
+
+
+ <b>3.5.1.</b>
+
+ Polynomial Features
</a>
@@ -613,6 +629,11 @@
</li>
+
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+
+ </li>
+
<li class="chapter " data-level="3.6" data-path="../ft_engineering/ft_trans.html">
<a href="../ft_engineering/ft_trans.html">
@@ -664,6 +685,21 @@
</li>
+ <li class="chapter " data-level="3.7" data-path="../ft_engineering/tfidf.html">
+
+ <a href="../ft_engineering/tfidf.html">
+
+
+ <b>3.7.</b>
+
+ TF-IDF Calculation
+
+ </a>
+
+
+
+ </li>
+
@@ -761,7 +797,7 @@
- <li class="header">Part V - Prediction</li>
+ <li class="header">Part V - Supervised Learning</li>
@@ -780,27 +816,19 @@
</li>
- <li class="chapter " data-level="5.2" data-path="../regression/general.html">
-
- <a href="../regression/general.html">
-
-
- <b>5.2.</b>
-
- Regression
-
- </a>
-
-
- </li>
- <li class="chapter " data-level="5.3" data-path="../binaryclass/general.html">
+
+ <li class="header">Part VI - Binary classification</li>
+
+
+
+ <li class="chapter " data-level="6.1" data-path="../binaryclass/general.html">
<a href="../binaryclass/general.html">
- <b>5.3.</b>
+ <b>6.1.</b>
Binary Classification
@@ -810,21 +838,14 @@
</li>
-
-
-
- <li class="header">Part VI - Binary classification tutorials</li>
-
-
-
- <li class="chapter " data-level="6.1" data-path="../binaryclass/a9a.html">
+ <li class="chapter " data-level="6.2" data-path="../binaryclass/a9a.html">
<a href="../binaryclass/a9a.html">
- <b>6.1.</b>
+ <b>6.2.</b>
- a9a
+ a9a tutorial
</a>
@@ -833,12 +854,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.1.1" data-path="../binaryclass/a9a_dataset.html">
+ <li class="chapter " data-level="6.2.1" data-path="../binaryclass/a9a_dataset.html">
<a href="../binaryclass/a9a_dataset.html">
- <b>6.1.1.</b>
+ <b>6.2.1.</b>
Data preparation
@@ -848,12 +869,12 @@
</li>
- <li class="chapter " data-level="6.1.2" data-path="../binaryclass/a9a_lr.html">
+ <li class="chapter " data-level="6.2.2" data-path="../binaryclass/a9a_lr.html">
<a href="../binaryclass/a9a_lr.html">
- <b>6.1.2.</b>
+ <b>6.2.2.</b>
Logistic Regression
@@ -863,12 +884,12 @@
</li>
- <li class="chapter " data-level="6.1.3" data-path="../binaryclass/a9a_minibatch.html">
+ <li class="chapter " data-level="6.2.3" data-path="../binaryclass/a9a_minibatch.html">
<a href="../binaryclass/a9a_minibatch.html">
- <b>6.1.3.</b>
+ <b>6.2.3.</b>
Mini-batch Gradient Descent
@@ -883,14 +904,14 @@
</li>
- <li class="chapter " data-level="6.2" data-path="../binaryclass/news20.html">
+ <li class="chapter " data-level="6.3" data-path="../binaryclass/news20.html">
<a href="../binaryclass/news20.html">
- <b>6.2.</b>
+ <b>6.3.</b>
- News20
+ News20 tutorial
</a>
@@ -899,12 +920,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.2.1" data-path="../binaryclass/news20_dataset.html">
+ <li class="chapter " data-level="6.3.1" data-path="../binaryclass/news20_dataset.html">
<a href="../binaryclass/news20_dataset.html">
- <b>6.2.1.</b>
+ <b>6.3.1.</b>
Data preparation
@@ -914,12 +935,12 @@
</li>
- <li class="chapter " data-level="6.2.2" data-path="../binaryclass/news20_pa.html">
+ <li class="chapter " data-level="6.3.2" data-path="../binaryclass/news20_pa.html">
<a href="../binaryclass/news20_pa.html">
- <b>6.2.2.</b>
+ <b>6.3.2.</b>
Perceptron, Passive Aggressive
@@ -929,12 +950,12 @@
</li>
- <li class="chapter " data-level="6.2.3" data-path="../binaryclass/news20_scw.html">
+ <li class="chapter " data-level="6.3.3" data-path="../binaryclass/news20_scw.html">
<a href="../binaryclass/news20_scw.html">
- <b>6.2.3.</b>
+ <b>6.3.3.</b>
CW, AROW, SCW
@@ -944,12 +965,12 @@
</li>
- <li class="chapter " data-level="6.2.4" data-path="../binaryclass/news20_adagrad.html">
+ <li class="chapter " data-level="6.3.4" data-path="../binaryclass/news20_adagrad.html">
<a href="../binaryclass/news20_adagrad.html">
- <b>6.2.4.</b>
+ <b>6.3.4.</b>
AdaGradRDA, AdaGrad, AdaDelta
@@ -964,14 +985,14 @@
</li>
- <li class="chapter " data-level="6.3" data-path="../binaryclass/kdd2010a.html">
+ <li class="chapter " data-level="6.4" data-path="../binaryclass/kdd2010a.html">
<a href="../binaryclass/kdd2010a.html">
- <b>6.3.</b>
+ <b>6.4.</b>
- KDD2010a
+ KDD2010a tutorial
</a>
@@ -980,12 +1001,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.3.1" data-path="../binaryclass/kdd2010a_dataset.html">
+ <li class="chapter " data-level="6.4.1" data-path="../binaryclass/kdd2010a_dataset.html">
<a href="../binaryclass/kdd2010a_dataset.html">
- <b>6.3.1.</b>
+ <b>6.4.1.</b>
Data preparation
@@ -995,12 +1016,12 @@
</li>
- <li class="chapter " data-level="6.3.2" data-path="../binaryclass/kdd2010a_scw.html">
+ <li class="chapter " data-level="6.4.2" data-path="../binaryclass/kdd2010a_scw.html">
<a href="../binaryclass/kdd2010a_scw.html">
- <b>6.3.2.</b>
+ <b>6.4.2.</b>
PA, CW, AROW, SCW
@@ -1015,14 +1036,14 @@
</li>
- <li class="chapter " data-level="6.4" data-path="../binaryclass/kdd2010b.html">
+ <li class="chapter " data-level="6.5" data-path="../binaryclass/kdd2010b.html">
<a href="../binaryclass/kdd2010b.html">
- <b>6.4.</b>
+ <b>6.5.</b>
- KDD2010b
+ KDD2010b tutorial
</a>
@@ -1031,12 +1052,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.4.1" data-path="../binaryclass/kdd2010b_dataset.html">
+ <li class="chapter " data-level="6.5.1" data-path="../binaryclass/kdd2010b_dataset.html">
<a href="../binaryclass/kdd2010b_dataset.html">
- <b>6.4.1.</b>
+ <b>6.5.1.</b>
Data preparation
@@ -1046,12 +1067,12 @@
</li>
- <li class="chapter " data-level="6.4.2" data-path="../binaryclass/kdd2010b_arow.html">
+ <li class="chapter " data-level="6.5.2" data-path="../binaryclass/kdd2010b_arow.html">
<a href="../binaryclass/kdd2010b_arow.html">
- <b>6.4.2.</b>
+ <b>6.5.2.</b>
AROW
@@ -1066,14 +1087,14 @@
</li>
- <li class="chapter " data-level="6.5" data-path="../binaryclass/webspam.html">
+ <li class="chapter " data-level="6.6" data-path="../binaryclass/webspam.html">
<a href="../binaryclass/webspam.html">
- <b>6.5.</b>
+ <b>6.6.</b>
- Webspam
+ Webspam tutorial
</a>
@@ -1082,12 +1103,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.5.1" data-path="../binaryclass/webspam_dataset.html">
+ <li class="chapter " data-level="6.6.1" data-path="../binaryclass/webspam_dataset.html">
<a href="../binaryclass/webspam_dataset.html">
- <b>6.5.1.</b>
+ <b>6.6.1.</b>
Data pareparation
@@ -1097,12 +1118,12 @@
</li>
- <li class="chapter " data-level="6.5.2" data-path="../binaryclass/webspam_scw.html">
+ <li class="chapter " data-level="6.6.2" data-path="../binaryclass/webspam_scw.html">
<a href="../binaryclass/webspam_scw.html">
- <b>6.5.2.</b>
+ <b>6.6.2.</b>
PA1, AROW, SCW
@@ -1117,14 +1138,14 @@
</li>
- <li class="chapter " data-level="6.6" data-path="../binaryclass/titanic_rf.html">
+ <li class="chapter " data-level="6.7" data-path="../binaryclass/titanic_rf.html">
<a href="../binaryclass/titanic_rf.html">
- <b>6.6.</b>
+ <b>6.7.</b>
- Kaggle Titanic
+ Kaggle Titanic tutorial
</a>
@@ -1135,7 +1156,7 @@
- <li class="header">Part VII - Multiclass classification tutorials</li>
+ <li class="header">Part VII - Multiclass classification</li>
@@ -1146,7 +1167,7 @@
<b>7.1.</b>
- News20 Multiclass
+ News20 Multiclass tutorial
</a>
@@ -1257,7 +1278,7 @@
<b>7.2.</b>
- Iris
+ Iris tutorial
</a>
@@ -1319,18 +1340,33 @@
- <li class="header">Part VIII - Regression tutorials</li>
+ <li class="header">Part VIII - Regression</li>
- <li class="chapter " data-level="8.1" data-path="../regression/e2006.html">
+ <li class="chapter " data-level="8.1" data-path="../regression/general.html">
- <a href="../regression/e2006.html">
+ <a href="../regression/general.html">
<b>8.1.</b>
- E2006-tfidf regression
+ Regression
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="8.2" data-path="../regression/e2006.html">
+
+ <a href="../regression/e2006.html">
+
+
+ <b>8.2.</b>
+
+ E2006-tfidf regression tutorial
</a>
@@ -1339,12 +1375,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.1.1" data-path="../regression/e2006_dataset.html">
+ <li class="chapter " data-level="8.2.1" data-path="../regression/e2006_dataset.html">
<a href="../regression/e2006_dataset.html">
- <b>8.1.1.</b>
+ <b>8.2.1.</b>
Data preparation
@@ -1354,12 +1390,12 @@
</li>
- <li class="chapter " data-level="8.1.2" data-path="../regression/e2006_arow.html">
+ <li class="chapter " data-level="8.2.2" data-path="../regression/e2006_arow.html">
<a href="../regression/e2006_arow.html">
- <b>8.1.2.</b>
+ <b>8.2.2.</b>
Passive Aggressive, AROW
@@ -1374,14 +1410,14 @@
</li>
- <li class="chapter " data-level="8.2" data-path="../regression/kddcup12tr2.html">
+ <li class="chapter " data-level="8.3" data-path="../regression/kddcup12tr2.html">
<a href="../regression/kddcup12tr2.html">
- <b>8.2.</b>
+ <b>8.3.</b>
- KDDCup 2012 track 2 CTR prediction
+ KDDCup 2012 track 2 CTR prediction tutorial
</a>
@@ -1390,12 +1426,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.2.1" data-path="../regression/kddcup12tr2_dataset.html">
+ <li class="chapter " data-level="8.3.1" data-path="../regression/kddcup12tr2_dataset.html">
<a href="../regression/kddcup12tr2_dataset.html">
- <b>8.2.1.</b>
+ <b>8.3.1.</b>
Data preparation
@@ -1405,12 +1441,12 @@
</li>
- <li class="chapter " data-level="8.2.2" data-path="../regression/kddcup12tr2_lr.html">
+ <li class="chapter " data-level="8.3.2" data-path="../regression/kddcup12tr2_lr.html">
<a href="../regression/kddcup12tr2_lr.html">
- <b>8.2.2.</b>
+ <b>8.3.2.</b>
Logistic Regression, Passive Aggressive
@@ -1420,12 +1456,12 @@
</li>
- <li class="chapter " data-level="8.2.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
+ <li class="chapter " data-level="8.3.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
<a href="../regression/kddcup12tr2_lr_amplify.html">
- <b>8.2.3.</b>
+ <b>8.3.3.</b>
Logistic Regression with Amplifier
@@ -1435,12 +1471,12 @@
</li>
- <li class="chapter " data-level="8.2.4" data-path="../regression/kddcup12tr2_adagrad.html">
+ <li class="chapter " data-level="8.3.4" data-path="../regression/kddcup12tr2_adagrad.html">
<a href="../regression/kddcup12tr2_adagrad.html">
- <b>8.2.4.</b>
+ <b>8.3.4.</b>
AdaGrad, AdaDelta
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[09/41] incubator-hivemall-site git commit: Added descriptions about
Feature Pairing in the user guide
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http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/ba518dab/userguide/search_index.json
----------------------------------------------------------------------
diff --git a/userguide/search_index.json b/userguide/search_index.json
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<TRUNCATED>
[23/41] incubator-hivemall-site git commit: Added descriptions about
Feature Pairing in the user guide
Posted by my...@apache.org.
http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/ba518dab/userguide/index.html
----------------------------------------------------------------------
diff --git a/userguide/index.html b/userguide/index.html
index d9c4729..6614253 100644
--- a/userguide/index.html
+++ b/userguide/index.html
@@ -596,14 +596,30 @@
</li>
- <li class="chapter " data-level="3.5" data-path="ft_engineering/tfidf.html">
+ <li class="chapter " data-level="3.5" data-path="ft_engineering/pairing.html">
- <a href="ft_engineering/tfidf.html">
+ <a href="ft_engineering/pairing.html">
<b>3.5.</b>
- TF-IDF Calculation
+ FEATURE PAIRING
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="3.5.1" data-path="ft_engineering/polynomial.html">
+
+ <a href="ft_engineering/polynomial.html">
+
+
+ <b>3.5.1.</b>
+
+ Polynomial Features
</a>
@@ -611,6 +627,11 @@
</li>
+
+ </ul>
+
+ </li>
+
<li class="chapter " data-level="3.6" data-path="ft_engineering/ft_trans.html">
<a href="ft_engineering/ft_trans.html">
@@ -662,6 +683,21 @@
</li>
+ <li class="chapter " data-level="3.7" data-path="ft_engineering/tfidf.html">
+
+ <a href="ft_engineering/tfidf.html">
+
+
+ <b>3.7.</b>
+
+ TF-IDF Calculation
+
+ </a>
+
+
+
+ </li>
+
@@ -759,7 +795,7 @@
- <li class="header">Part V - Prediction</li>
+ <li class="header">Part V - Supervised Learning</li>
@@ -778,27 +814,19 @@
</li>
- <li class="chapter " data-level="5.2" data-path="regression/general.html">
-
- <a href="regression/general.html">
-
-
- <b>5.2.</b>
-
- Regression
-
- </a>
-
-
- </li>
- <li class="chapter " data-level="5.3" data-path="binaryclass/general.html">
+
+ <li class="header">Part VI - Binary classification</li>
+
+
+
+ <li class="chapter " data-level="6.1" data-path="binaryclass/general.html">
<a href="binaryclass/general.html">
- <b>5.3.</b>
+ <b>6.1.</b>
Binary Classification
@@ -808,21 +836,14 @@
</li>
-
-
-
- <li class="header">Part VI - Binary classification tutorials</li>
-
-
-
- <li class="chapter " data-level="6.1" data-path="binaryclass/a9a.html">
+ <li class="chapter " data-level="6.2" data-path="binaryclass/a9a.html">
<a href="binaryclass/a9a.html">
- <b>6.1.</b>
+ <b>6.2.</b>
- a9a
+ a9a tutorial
</a>
@@ -831,12 +852,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.1.1" data-path="binaryclass/a9a_dataset.html">
+ <li class="chapter " data-level="6.2.1" data-path="binaryclass/a9a_dataset.html">
<a href="binaryclass/a9a_dataset.html">
- <b>6.1.1.</b>
+ <b>6.2.1.</b>
Data preparation
@@ -846,12 +867,12 @@
</li>
- <li class="chapter " data-level="6.1.2" data-path="binaryclass/a9a_lr.html">
+ <li class="chapter " data-level="6.2.2" data-path="binaryclass/a9a_lr.html">
<a href="binaryclass/a9a_lr.html">
- <b>6.1.2.</b>
+ <b>6.2.2.</b>
Logistic Regression
@@ -861,12 +882,12 @@
</li>
- <li class="chapter " data-level="6.1.3" data-path="binaryclass/a9a_minibatch.html">
+ <li class="chapter " data-level="6.2.3" data-path="binaryclass/a9a_minibatch.html">
<a href="binaryclass/a9a_minibatch.html">
- <b>6.1.3.</b>
+ <b>6.2.3.</b>
Mini-batch Gradient Descent
@@ -881,14 +902,14 @@
</li>
- <li class="chapter " data-level="6.2" data-path="binaryclass/news20.html">
+ <li class="chapter " data-level="6.3" data-path="binaryclass/news20.html">
<a href="binaryclass/news20.html">
- <b>6.2.</b>
+ <b>6.3.</b>
- News20
+ News20 tutorial
</a>
@@ -897,12 +918,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.2.1" data-path="binaryclass/news20_dataset.html">
+ <li class="chapter " data-level="6.3.1" data-path="binaryclass/news20_dataset.html">
<a href="binaryclass/news20_dataset.html">
- <b>6.2.1.</b>
+ <b>6.3.1.</b>
Data preparation
@@ -912,12 +933,12 @@
</li>
- <li class="chapter " data-level="6.2.2" data-path="binaryclass/news20_pa.html">
+ <li class="chapter " data-level="6.3.2" data-path="binaryclass/news20_pa.html">
<a href="binaryclass/news20_pa.html">
- <b>6.2.2.</b>
+ <b>6.3.2.</b>
Perceptron, Passive Aggressive
@@ -927,12 +948,12 @@
</li>
- <li class="chapter " data-level="6.2.3" data-path="binaryclass/news20_scw.html">
+ <li class="chapter " data-level="6.3.3" data-path="binaryclass/news20_scw.html">
<a href="binaryclass/news20_scw.html">
- <b>6.2.3.</b>
+ <b>6.3.3.</b>
CW, AROW, SCW
@@ -942,12 +963,12 @@
</li>
- <li class="chapter " data-level="6.2.4" data-path="binaryclass/news20_adagrad.html">
+ <li class="chapter " data-level="6.3.4" data-path="binaryclass/news20_adagrad.html">
<a href="binaryclass/news20_adagrad.html">
- <b>6.2.4.</b>
+ <b>6.3.4.</b>
AdaGradRDA, AdaGrad, AdaDelta
@@ -962,14 +983,14 @@
</li>
- <li class="chapter " data-level="6.3" data-path="binaryclass/kdd2010a.html">
+ <li class="chapter " data-level="6.4" data-path="binaryclass/kdd2010a.html">
<a href="binaryclass/kdd2010a.html">
- <b>6.3.</b>
+ <b>6.4.</b>
- KDD2010a
+ KDD2010a tutorial
</a>
@@ -978,12 +999,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.3.1" data-path="binaryclass/kdd2010a_dataset.html">
+ <li class="chapter " data-level="6.4.1" data-path="binaryclass/kdd2010a_dataset.html">
<a href="binaryclass/kdd2010a_dataset.html">
- <b>6.3.1.</b>
+ <b>6.4.1.</b>
Data preparation
@@ -993,12 +1014,12 @@
</li>
- <li class="chapter " data-level="6.3.2" data-path="binaryclass/kdd2010a_scw.html">
+ <li class="chapter " data-level="6.4.2" data-path="binaryclass/kdd2010a_scw.html">
<a href="binaryclass/kdd2010a_scw.html">
- <b>6.3.2.</b>
+ <b>6.4.2.</b>
PA, CW, AROW, SCW
@@ -1013,14 +1034,14 @@
</li>
- <li class="chapter " data-level="6.4" data-path="binaryclass/kdd2010b.html">
+ <li class="chapter " data-level="6.5" data-path="binaryclass/kdd2010b.html">
<a href="binaryclass/kdd2010b.html">
- <b>6.4.</b>
+ <b>6.5.</b>
- KDD2010b
+ KDD2010b tutorial
</a>
@@ -1029,12 +1050,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.4.1" data-path="binaryclass/kdd2010b_dataset.html">
+ <li class="chapter " data-level="6.5.1" data-path="binaryclass/kdd2010b_dataset.html">
<a href="binaryclass/kdd2010b_dataset.html">
- <b>6.4.1.</b>
+ <b>6.5.1.</b>
Data preparation
@@ -1044,12 +1065,12 @@
</li>
- <li class="chapter " data-level="6.4.2" data-path="binaryclass/kdd2010b_arow.html">
+ <li class="chapter " data-level="6.5.2" data-path="binaryclass/kdd2010b_arow.html">
<a href="binaryclass/kdd2010b_arow.html">
- <b>6.4.2.</b>
+ <b>6.5.2.</b>
AROW
@@ -1064,14 +1085,14 @@
</li>
- <li class="chapter " data-level="6.5" data-path="binaryclass/webspam.html">
+ <li class="chapter " data-level="6.6" data-path="binaryclass/webspam.html">
<a href="binaryclass/webspam.html">
- <b>6.5.</b>
+ <b>6.6.</b>
- Webspam
+ Webspam tutorial
</a>
@@ -1080,12 +1101,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.5.1" data-path="binaryclass/webspam_dataset.html">
+ <li class="chapter " data-level="6.6.1" data-path="binaryclass/webspam_dataset.html">
<a href="binaryclass/webspam_dataset.html">
- <b>6.5.1.</b>
+ <b>6.6.1.</b>
Data pareparation
@@ -1095,12 +1116,12 @@
</li>
- <li class="chapter " data-level="6.5.2" data-path="binaryclass/webspam_scw.html">
+ <li class="chapter " data-level="6.6.2" data-path="binaryclass/webspam_scw.html">
<a href="binaryclass/webspam_scw.html">
- <b>6.5.2.</b>
+ <b>6.6.2.</b>
PA1, AROW, SCW
@@ -1115,14 +1136,14 @@
</li>
- <li class="chapter " data-level="6.6" data-path="binaryclass/titanic_rf.html">
+ <li class="chapter " data-level="6.7" data-path="binaryclass/titanic_rf.html">
<a href="binaryclass/titanic_rf.html">
- <b>6.6.</b>
+ <b>6.7.</b>
- Kaggle Titanic
+ Kaggle Titanic tutorial
</a>
@@ -1133,7 +1154,7 @@
- <li class="header">Part VII - Multiclass classification tutorials</li>
+ <li class="header">Part VII - Multiclass classification</li>
@@ -1144,7 +1165,7 @@
<b>7.1.</b>
- News20 Multiclass
+ News20 Multiclass tutorial
</a>
@@ -1255,7 +1276,7 @@
<b>7.2.</b>
- Iris
+ Iris tutorial
</a>
@@ -1317,18 +1338,33 @@
- <li class="header">Part VIII - Regression tutorials</li>
+ <li class="header">Part VIII - Regression</li>
- <li class="chapter " data-level="8.1" data-path="regression/e2006.html">
+ <li class="chapter " data-level="8.1" data-path="regression/general.html">
- <a href="regression/e2006.html">
+ <a href="regression/general.html">
<b>8.1.</b>
- E2006-tfidf regression
+ Regression
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="8.2" data-path="regression/e2006.html">
+
+ <a href="regression/e2006.html">
+
+
+ <b>8.2.</b>
+
+ E2006-tfidf regression tutorial
</a>
@@ -1337,12 +1373,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.1.1" data-path="regression/e2006_dataset.html">
+ <li class="chapter " data-level="8.2.1" data-path="regression/e2006_dataset.html">
<a href="regression/e2006_dataset.html">
- <b>8.1.1.</b>
+ <b>8.2.1.</b>
Data preparation
@@ -1352,12 +1388,12 @@
</li>
- <li class="chapter " data-level="8.1.2" data-path="regression/e2006_arow.html">
+ <li class="chapter " data-level="8.2.2" data-path="regression/e2006_arow.html">
<a href="regression/e2006_arow.html">
- <b>8.1.2.</b>
+ <b>8.2.2.</b>
Passive Aggressive, AROW
@@ -1372,14 +1408,14 @@
</li>
- <li class="chapter " data-level="8.2" data-path="regression/kddcup12tr2.html">
+ <li class="chapter " data-level="8.3" data-path="regression/kddcup12tr2.html">
<a href="regression/kddcup12tr2.html">
- <b>8.2.</b>
+ <b>8.3.</b>
- KDDCup 2012 track 2 CTR prediction
+ KDDCup 2012 track 2 CTR prediction tutorial
</a>
@@ -1388,12 +1424,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.2.1" data-path="regression/kddcup12tr2_dataset.html">
+ <li class="chapter " data-level="8.3.1" data-path="regression/kddcup12tr2_dataset.html">
<a href="regression/kddcup12tr2_dataset.html">
- <b>8.2.1.</b>
+ <b>8.3.1.</b>
Data preparation
@@ -1403,12 +1439,12 @@
</li>
- <li class="chapter " data-level="8.2.2" data-path="regression/kddcup12tr2_lr.html">
+ <li class="chapter " data-level="8.3.2" data-path="regression/kddcup12tr2_lr.html">
<a href="regression/kddcup12tr2_lr.html">
- <b>8.2.2.</b>
+ <b>8.3.2.</b>
Logistic Regression, Passive Aggressive
@@ -1418,12 +1454,12 @@
</li>
- <li class="chapter " data-level="8.2.3" data-path="regression/kddcup12tr2_lr_amplify.html">
+ <li class="chapter " data-level="8.3.3" data-path="regression/kddcup12tr2_lr_amplify.html">
<a href="regression/kddcup12tr2_lr_amplify.html">
- <b>8.2.3.</b>
+ <b>8.3.3.</b>
Logistic Regression with Amplifier
@@ -1433,12 +1469,12 @@
</li>
- <li class="chapter " data-level="8.2.4" data-path="regression/kddcup12tr2_adagrad.html">
+ <li class="chapter " data-level="8.3.4" data-path="regression/kddcup12tr2_adagrad.html">
<a href="regression/kddcup12tr2_adagrad.html">
- <b>8.2.4.</b>
+ <b>8.3.4.</b>
AdaGrad, AdaDelta
@@ -2140,7 +2176,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
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http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/ba518dab/userguide/misc/generic_funcs.html
----------------------------------------------------------------------
diff --git a/userguide/misc/generic_funcs.html b/userguide/misc/generic_funcs.html
index 669f316..6985521 100644
--- a/userguide/misc/generic_funcs.html
+++ b/userguide/misc/generic_funcs.html
@@ -598,14 +598,30 @@
</li>
- <li class="chapter " data-level="3.5" data-path="../ft_engineering/tfidf.html">
+ <li class="chapter " data-level="3.5" data-path="../ft_engineering/pairing.html">
- <a href="../ft_engineering/tfidf.html">
+ <a href="../ft_engineering/pairing.html">
<b>3.5.</b>
- TF-IDF Calculation
+ FEATURE PAIRING
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="3.5.1" data-path="../ft_engineering/polynomial.html">
+
+ <a href="../ft_engineering/polynomial.html">
+
+
+ <b>3.5.1.</b>
+
+ Polynomial Features
</a>
@@ -613,6 +629,11 @@
</li>
+
+ </ul>
+
+ </li>
+
<li class="chapter " data-level="3.6" data-path="../ft_engineering/ft_trans.html">
<a href="../ft_engineering/ft_trans.html">
@@ -664,6 +685,21 @@
</li>
+ <li class="chapter " data-level="3.7" data-path="../ft_engineering/tfidf.html">
+
+ <a href="../ft_engineering/tfidf.html">
+
+
+ <b>3.7.</b>
+
+ TF-IDF Calculation
+
+ </a>
+
+
+
+ </li>
+
@@ -761,7 +797,7 @@
- <li class="header">Part V - Prediction</li>
+ <li class="header">Part V - Supervised Learning</li>
@@ -780,27 +816,19 @@
</li>
- <li class="chapter " data-level="5.2" data-path="../regression/general.html">
-
- <a href="../regression/general.html">
-
-
- <b>5.2.</b>
-
- Regression
-
- </a>
-
-
- </li>
- <li class="chapter " data-level="5.3" data-path="../binaryclass/general.html">
+
+ <li class="header">Part VI - Binary classification</li>
+
+
+
+ <li class="chapter " data-level="6.1" data-path="../binaryclass/general.html">
<a href="../binaryclass/general.html">
- <b>5.3.</b>
+ <b>6.1.</b>
Binary Classification
@@ -810,21 +838,14 @@
</li>
-
-
-
- <li class="header">Part VI - Binary classification tutorials</li>
-
-
-
- <li class="chapter " data-level="6.1" data-path="../binaryclass/a9a.html">
+ <li class="chapter " data-level="6.2" data-path="../binaryclass/a9a.html">
<a href="../binaryclass/a9a.html">
- <b>6.1.</b>
+ <b>6.2.</b>
- a9a
+ a9a tutorial
</a>
@@ -833,12 +854,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.1.1" data-path="../binaryclass/a9a_dataset.html">
+ <li class="chapter " data-level="6.2.1" data-path="../binaryclass/a9a_dataset.html">
<a href="../binaryclass/a9a_dataset.html">
- <b>6.1.1.</b>
+ <b>6.2.1.</b>
Data preparation
@@ -848,12 +869,12 @@
</li>
- <li class="chapter " data-level="6.1.2" data-path="../binaryclass/a9a_lr.html">
+ <li class="chapter " data-level="6.2.2" data-path="../binaryclass/a9a_lr.html">
<a href="../binaryclass/a9a_lr.html">
- <b>6.1.2.</b>
+ <b>6.2.2.</b>
Logistic Regression
@@ -863,12 +884,12 @@
</li>
- <li class="chapter " data-level="6.1.3" data-path="../binaryclass/a9a_minibatch.html">
+ <li class="chapter " data-level="6.2.3" data-path="../binaryclass/a9a_minibatch.html">
<a href="../binaryclass/a9a_minibatch.html">
- <b>6.1.3.</b>
+ <b>6.2.3.</b>
Mini-batch Gradient Descent
@@ -883,14 +904,14 @@
</li>
- <li class="chapter " data-level="6.2" data-path="../binaryclass/news20.html">
+ <li class="chapter " data-level="6.3" data-path="../binaryclass/news20.html">
<a href="../binaryclass/news20.html">
- <b>6.2.</b>
+ <b>6.3.</b>
- News20
+ News20 tutorial
</a>
@@ -899,12 +920,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.2.1" data-path="../binaryclass/news20_dataset.html">
+ <li class="chapter " data-level="6.3.1" data-path="../binaryclass/news20_dataset.html">
<a href="../binaryclass/news20_dataset.html">
- <b>6.2.1.</b>
+ <b>6.3.1.</b>
Data preparation
@@ -914,12 +935,12 @@
</li>
- <li class="chapter " data-level="6.2.2" data-path="../binaryclass/news20_pa.html">
+ <li class="chapter " data-level="6.3.2" data-path="../binaryclass/news20_pa.html">
<a href="../binaryclass/news20_pa.html">
- <b>6.2.2.</b>
+ <b>6.3.2.</b>
Perceptron, Passive Aggressive
@@ -929,12 +950,12 @@
</li>
- <li class="chapter " data-level="6.2.3" data-path="../binaryclass/news20_scw.html">
+ <li class="chapter " data-level="6.3.3" data-path="../binaryclass/news20_scw.html">
<a href="../binaryclass/news20_scw.html">
- <b>6.2.3.</b>
+ <b>6.3.3.</b>
CW, AROW, SCW
@@ -944,12 +965,12 @@
</li>
- <li class="chapter " data-level="6.2.4" data-path="../binaryclass/news20_adagrad.html">
+ <li class="chapter " data-level="6.3.4" data-path="../binaryclass/news20_adagrad.html">
<a href="../binaryclass/news20_adagrad.html">
- <b>6.2.4.</b>
+ <b>6.3.4.</b>
AdaGradRDA, AdaGrad, AdaDelta
@@ -964,14 +985,14 @@
</li>
- <li class="chapter " data-level="6.3" data-path="../binaryclass/kdd2010a.html">
+ <li class="chapter " data-level="6.4" data-path="../binaryclass/kdd2010a.html">
<a href="../binaryclass/kdd2010a.html">
- <b>6.3.</b>
+ <b>6.4.</b>
- KDD2010a
+ KDD2010a tutorial
</a>
@@ -980,12 +1001,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.3.1" data-path="../binaryclass/kdd2010a_dataset.html">
+ <li class="chapter " data-level="6.4.1" data-path="../binaryclass/kdd2010a_dataset.html">
<a href="../binaryclass/kdd2010a_dataset.html">
- <b>6.3.1.</b>
+ <b>6.4.1.</b>
Data preparation
@@ -995,12 +1016,12 @@
</li>
- <li class="chapter " data-level="6.3.2" data-path="../binaryclass/kdd2010a_scw.html">
+ <li class="chapter " data-level="6.4.2" data-path="../binaryclass/kdd2010a_scw.html">
<a href="../binaryclass/kdd2010a_scw.html">
- <b>6.3.2.</b>
+ <b>6.4.2.</b>
PA, CW, AROW, SCW
@@ -1015,14 +1036,14 @@
</li>
- <li class="chapter " data-level="6.4" data-path="../binaryclass/kdd2010b.html">
+ <li class="chapter " data-level="6.5" data-path="../binaryclass/kdd2010b.html">
<a href="../binaryclass/kdd2010b.html">
- <b>6.4.</b>
+ <b>6.5.</b>
- KDD2010b
+ KDD2010b tutorial
</a>
@@ -1031,12 +1052,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.4.1" data-path="../binaryclass/kdd2010b_dataset.html">
+ <li class="chapter " data-level="6.5.1" data-path="../binaryclass/kdd2010b_dataset.html">
<a href="../binaryclass/kdd2010b_dataset.html">
- <b>6.4.1.</b>
+ <b>6.5.1.</b>
Data preparation
@@ -1046,12 +1067,12 @@
</li>
- <li class="chapter " data-level="6.4.2" data-path="../binaryclass/kdd2010b_arow.html">
+ <li class="chapter " data-level="6.5.2" data-path="../binaryclass/kdd2010b_arow.html">
<a href="../binaryclass/kdd2010b_arow.html">
- <b>6.4.2.</b>
+ <b>6.5.2.</b>
AROW
@@ -1066,14 +1087,14 @@
</li>
- <li class="chapter " data-level="6.5" data-path="../binaryclass/webspam.html">
+ <li class="chapter " data-level="6.6" data-path="../binaryclass/webspam.html">
<a href="../binaryclass/webspam.html">
- <b>6.5.</b>
+ <b>6.6.</b>
- Webspam
+ Webspam tutorial
</a>
@@ -1082,12 +1103,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.5.1" data-path="../binaryclass/webspam_dataset.html">
+ <li class="chapter " data-level="6.6.1" data-path="../binaryclass/webspam_dataset.html">
<a href="../binaryclass/webspam_dataset.html">
- <b>6.5.1.</b>
+ <b>6.6.1.</b>
Data pareparation
@@ -1097,12 +1118,12 @@
</li>
- <li class="chapter " data-level="6.5.2" data-path="../binaryclass/webspam_scw.html">
+ <li class="chapter " data-level="6.6.2" data-path="../binaryclass/webspam_scw.html">
<a href="../binaryclass/webspam_scw.html">
- <b>6.5.2.</b>
+ <b>6.6.2.</b>
PA1, AROW, SCW
@@ -1117,14 +1138,14 @@
</li>
- <li class="chapter " data-level="6.6" data-path="../binaryclass/titanic_rf.html">
+ <li class="chapter " data-level="6.7" data-path="../binaryclass/titanic_rf.html">
<a href="../binaryclass/titanic_rf.html">
- <b>6.6.</b>
+ <b>6.7.</b>
- Kaggle Titanic
+ Kaggle Titanic tutorial
</a>
@@ -1135,7 +1156,7 @@
- <li class="header">Part VII - Multiclass classification tutorials</li>
+ <li class="header">Part VII - Multiclass classification</li>
@@ -1146,7 +1167,7 @@
<b>7.1.</b>
- News20 Multiclass
+ News20 Multiclass tutorial
</a>
@@ -1257,7 +1278,7 @@
<b>7.2.</b>
- Iris
+ Iris tutorial
</a>
@@ -1319,18 +1340,33 @@
- <li class="header">Part VIII - Regression tutorials</li>
+ <li class="header">Part VIII - Regression</li>
- <li class="chapter " data-level="8.1" data-path="../regression/e2006.html">
+ <li class="chapter " data-level="8.1" data-path="../regression/general.html">
- <a href="../regression/e2006.html">
+ <a href="../regression/general.html">
<b>8.1.</b>
- E2006-tfidf regression
+ Regression
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="8.2" data-path="../regression/e2006.html">
+
+ <a href="../regression/e2006.html">
+
+
+ <b>8.2.</b>
+
+ E2006-tfidf regression tutorial
</a>
@@ -1339,12 +1375,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.1.1" data-path="../regression/e2006_dataset.html">
+ <li class="chapter " data-level="8.2.1" data-path="../regression/e2006_dataset.html">
<a href="../regression/e2006_dataset.html">
- <b>8.1.1.</b>
+ <b>8.2.1.</b>
Data preparation
@@ -1354,12 +1390,12 @@
</li>
- <li class="chapter " data-level="8.1.2" data-path="../regression/e2006_arow.html">
+ <li class="chapter " data-level="8.2.2" data-path="../regression/e2006_arow.html">
<a href="../regression/e2006_arow.html">
- <b>8.1.2.</b>
+ <b>8.2.2.</b>
Passive Aggressive, AROW
@@ -1374,14 +1410,14 @@
</li>
- <li class="chapter " data-level="8.2" data-path="../regression/kddcup12tr2.html">
+ <li class="chapter " data-level="8.3" data-path="../regression/kddcup12tr2.html">
<a href="../regression/kddcup12tr2.html">
- <b>8.2.</b>
+ <b>8.3.</b>
- KDDCup 2012 track 2 CTR prediction
+ KDDCup 2012 track 2 CTR prediction tutorial
</a>
@@ -1390,12 +1426,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.2.1" data-path="../regression/kddcup12tr2_dataset.html">
+ <li class="chapter " data-level="8.3.1" data-path="../regression/kddcup12tr2_dataset.html">
<a href="../regression/kddcup12tr2_dataset.html">
- <b>8.2.1.</b>
+ <b>8.3.1.</b>
Data preparation
@@ -1405,12 +1441,12 @@
</li>
- <li class="chapter " data-level="8.2.2" data-path="../regression/kddcup12tr2_lr.html">
+ <li class="chapter " data-level="8.3.2" data-path="../regression/kddcup12tr2_lr.html">
<a href="../regression/kddcup12tr2_lr.html">
- <b>8.2.2.</b>
+ <b>8.3.2.</b>
Logistic Regression, Passive Aggressive
@@ -1420,12 +1456,12 @@
</li>
- <li class="chapter " data-level="8.2.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
+ <li class="chapter " data-level="8.3.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
<a href="../regression/kddcup12tr2_lr_amplify.html">
- <b>8.2.3.</b>
+ <b>8.3.3.</b>
Logistic Regression with Amplifier
@@ -1435,12 +1471,12 @@
</li>
- <li class="chapter " data-level="8.2.4" data-path="../regression/kddcup12tr2_adagrad.html">
+ <li class="chapter " data-level="8.3.4" data-path="../regression/kddcup12tr2_adagrad.html">
<a href="../regression/kddcup12tr2_adagrad.html">
- <b>8.2.4.</b>
+ <b>8.3.4.</b>
AdaGrad, AdaDelta
@@ -2326,7 +2362,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
<script>
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[37/41] incubator-hivemall-site git commit: Added descriptions about
Feature Pairing in the user guide
Posted by my...@apache.org.
http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/ba518dab/userguide/binaryclass/kdd2010b_arow.html
----------------------------------------------------------------------
diff --git a/userguide/binaryclass/kdd2010b_arow.html b/userguide/binaryclass/kdd2010b_arow.html
index aae0fa6..ce64fbb 100644
--- a/userguide/binaryclass/kdd2010b_arow.html
+++ b/userguide/binaryclass/kdd2010b_arow.html
@@ -598,14 +598,30 @@
</li>
- <li class="chapter " data-level="3.5" data-path="../ft_engineering/tfidf.html">
+ <li class="chapter " data-level="3.5" data-path="../ft_engineering/pairing.html">
- <a href="../ft_engineering/tfidf.html">
+ <a href="../ft_engineering/pairing.html">
<b>3.5.</b>
- TF-IDF Calculation
+ FEATURE PAIRING
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="3.5.1" data-path="../ft_engineering/polynomial.html">
+
+ <a href="../ft_engineering/polynomial.html">
+
+
+ <b>3.5.1.</b>
+
+ Polynomial Features
</a>
@@ -613,6 +629,11 @@
</li>
+
+ </ul>
+
+ </li>
+
<li class="chapter " data-level="3.6" data-path="../ft_engineering/ft_trans.html">
<a href="../ft_engineering/ft_trans.html">
@@ -664,6 +685,21 @@
</li>
+ <li class="chapter " data-level="3.7" data-path="../ft_engineering/tfidf.html">
+
+ <a href="../ft_engineering/tfidf.html">
+
+
+ <b>3.7.</b>
+
+ TF-IDF Calculation
+
+ </a>
+
+
+
+ </li>
+
@@ -761,7 +797,7 @@
- <li class="header">Part V - Prediction</li>
+ <li class="header">Part V - Supervised Learning</li>
@@ -780,27 +816,19 @@
</li>
- <li class="chapter " data-level="5.2" data-path="../regression/general.html">
-
- <a href="../regression/general.html">
-
-
- <b>5.2.</b>
-
- Regression
-
- </a>
-
-
- </li>
- <li class="chapter " data-level="5.3" data-path="general.html">
+
+ <li class="header">Part VI - Binary classification</li>
+
+
+
+ <li class="chapter " data-level="6.1" data-path="general.html">
<a href="general.html">
- <b>5.3.</b>
+ <b>6.1.</b>
Binary Classification
@@ -810,21 +838,14 @@
</li>
-
-
-
- <li class="header">Part VI - Binary classification tutorials</li>
-
-
-
- <li class="chapter " data-level="6.1" data-path="a9a.html">
+ <li class="chapter " data-level="6.2" data-path="a9a.html">
<a href="a9a.html">
- <b>6.1.</b>
+ <b>6.2.</b>
- a9a
+ a9a tutorial
</a>
@@ -833,12 +854,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.1.1" data-path="a9a_dataset.html">
+ <li class="chapter " data-level="6.2.1" data-path="a9a_dataset.html">
<a href="a9a_dataset.html">
- <b>6.1.1.</b>
+ <b>6.2.1.</b>
Data preparation
@@ -848,12 +869,12 @@
</li>
- <li class="chapter " data-level="6.1.2" data-path="a9a_lr.html">
+ <li class="chapter " data-level="6.2.2" data-path="a9a_lr.html">
<a href="a9a_lr.html">
- <b>6.1.2.</b>
+ <b>6.2.2.</b>
Logistic Regression
@@ -863,12 +884,12 @@
</li>
- <li class="chapter " data-level="6.1.3" data-path="a9a_minibatch.html">
+ <li class="chapter " data-level="6.2.3" data-path="a9a_minibatch.html">
<a href="a9a_minibatch.html">
- <b>6.1.3.</b>
+ <b>6.2.3.</b>
Mini-batch Gradient Descent
@@ -883,14 +904,14 @@
</li>
- <li class="chapter " data-level="6.2" data-path="news20.html">
+ <li class="chapter " data-level="6.3" data-path="news20.html">
<a href="news20.html">
- <b>6.2.</b>
+ <b>6.3.</b>
- News20
+ News20 tutorial
</a>
@@ -899,12 +920,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.2.1" data-path="news20_dataset.html">
+ <li class="chapter " data-level="6.3.1" data-path="news20_dataset.html">
<a href="news20_dataset.html">
- <b>6.2.1.</b>
+ <b>6.3.1.</b>
Data preparation
@@ -914,12 +935,12 @@
</li>
- <li class="chapter " data-level="6.2.2" data-path="news20_pa.html">
+ <li class="chapter " data-level="6.3.2" data-path="news20_pa.html">
<a href="news20_pa.html">
- <b>6.2.2.</b>
+ <b>6.3.2.</b>
Perceptron, Passive Aggressive
@@ -929,12 +950,12 @@
</li>
- <li class="chapter " data-level="6.2.3" data-path="news20_scw.html">
+ <li class="chapter " data-level="6.3.3" data-path="news20_scw.html">
<a href="news20_scw.html">
- <b>6.2.3.</b>
+ <b>6.3.3.</b>
CW, AROW, SCW
@@ -944,12 +965,12 @@
</li>
- <li class="chapter " data-level="6.2.4" data-path="news20_adagrad.html">
+ <li class="chapter " data-level="6.3.4" data-path="news20_adagrad.html">
<a href="news20_adagrad.html">
- <b>6.2.4.</b>
+ <b>6.3.4.</b>
AdaGradRDA, AdaGrad, AdaDelta
@@ -964,14 +985,14 @@
</li>
- <li class="chapter " data-level="6.3" data-path="kdd2010a.html">
+ <li class="chapter " data-level="6.4" data-path="kdd2010a.html">
<a href="kdd2010a.html">
- <b>6.3.</b>
+ <b>6.4.</b>
- KDD2010a
+ KDD2010a tutorial
</a>
@@ -980,12 +1001,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.3.1" data-path="kdd2010a_dataset.html">
+ <li class="chapter " data-level="6.4.1" data-path="kdd2010a_dataset.html">
<a href="kdd2010a_dataset.html">
- <b>6.3.1.</b>
+ <b>6.4.1.</b>
Data preparation
@@ -995,12 +1016,12 @@
</li>
- <li class="chapter " data-level="6.3.2" data-path="kdd2010a_scw.html">
+ <li class="chapter " data-level="6.4.2" data-path="kdd2010a_scw.html">
<a href="kdd2010a_scw.html">
- <b>6.3.2.</b>
+ <b>6.4.2.</b>
PA, CW, AROW, SCW
@@ -1015,14 +1036,14 @@
</li>
- <li class="chapter " data-level="6.4" data-path="kdd2010b.html">
+ <li class="chapter " data-level="6.5" data-path="kdd2010b.html">
<a href="kdd2010b.html">
- <b>6.4.</b>
+ <b>6.5.</b>
- KDD2010b
+ KDD2010b tutorial
</a>
@@ -1031,12 +1052,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.4.1" data-path="kdd2010b_dataset.html">
+ <li class="chapter " data-level="6.5.1" data-path="kdd2010b_dataset.html">
<a href="kdd2010b_dataset.html">
- <b>6.4.1.</b>
+ <b>6.5.1.</b>
Data preparation
@@ -1046,12 +1067,12 @@
</li>
- <li class="chapter active" data-level="6.4.2" data-path="kdd2010b_arow.html">
+ <li class="chapter active" data-level="6.5.2" data-path="kdd2010b_arow.html">
<a href="kdd2010b_arow.html">
- <b>6.4.2.</b>
+ <b>6.5.2.</b>
AROW
@@ -1066,14 +1087,14 @@
</li>
- <li class="chapter " data-level="6.5" data-path="webspam.html">
+ <li class="chapter " data-level="6.6" data-path="webspam.html">
<a href="webspam.html">
- <b>6.5.</b>
+ <b>6.6.</b>
- Webspam
+ Webspam tutorial
</a>
@@ -1082,12 +1103,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.5.1" data-path="webspam_dataset.html">
+ <li class="chapter " data-level="6.6.1" data-path="webspam_dataset.html">
<a href="webspam_dataset.html">
- <b>6.5.1.</b>
+ <b>6.6.1.</b>
Data pareparation
@@ -1097,12 +1118,12 @@
</li>
- <li class="chapter " data-level="6.5.2" data-path="webspam_scw.html">
+ <li class="chapter " data-level="6.6.2" data-path="webspam_scw.html">
<a href="webspam_scw.html">
- <b>6.5.2.</b>
+ <b>6.6.2.</b>
PA1, AROW, SCW
@@ -1117,14 +1138,14 @@
</li>
- <li class="chapter " data-level="6.6" data-path="titanic_rf.html">
+ <li class="chapter " data-level="6.7" data-path="titanic_rf.html">
<a href="titanic_rf.html">
- <b>6.6.</b>
+ <b>6.7.</b>
- Kaggle Titanic
+ Kaggle Titanic tutorial
</a>
@@ -1135,7 +1156,7 @@
- <li class="header">Part VII - Multiclass classification tutorials</li>
+ <li class="header">Part VII - Multiclass classification</li>
@@ -1146,7 +1167,7 @@
<b>7.1.</b>
- News20 Multiclass
+ News20 Multiclass tutorial
</a>
@@ -1257,7 +1278,7 @@
<b>7.2.</b>
- Iris
+ Iris tutorial
</a>
@@ -1319,18 +1340,33 @@
- <li class="header">Part VIII - Regression tutorials</li>
+ <li class="header">Part VIII - Regression</li>
- <li class="chapter " data-level="8.1" data-path="../regression/e2006.html">
+ <li class="chapter " data-level="8.1" data-path="../regression/general.html">
- <a href="../regression/e2006.html">
+ <a href="../regression/general.html">
<b>8.1.</b>
- E2006-tfidf regression
+ Regression
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="8.2" data-path="../regression/e2006.html">
+
+ <a href="../regression/e2006.html">
+
+
+ <b>8.2.</b>
+
+ E2006-tfidf regression tutorial
</a>
@@ -1339,12 +1375,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.1.1" data-path="../regression/e2006_dataset.html">
+ <li class="chapter " data-level="8.2.1" data-path="../regression/e2006_dataset.html">
<a href="../regression/e2006_dataset.html">
- <b>8.1.1.</b>
+ <b>8.2.1.</b>
Data preparation
@@ -1354,12 +1390,12 @@
</li>
- <li class="chapter " data-level="8.1.2" data-path="../regression/e2006_arow.html">
+ <li class="chapter " data-level="8.2.2" data-path="../regression/e2006_arow.html">
<a href="../regression/e2006_arow.html">
- <b>8.1.2.</b>
+ <b>8.2.2.</b>
Passive Aggressive, AROW
@@ -1374,14 +1410,14 @@
</li>
- <li class="chapter " data-level="8.2" data-path="../regression/kddcup12tr2.html">
+ <li class="chapter " data-level="8.3" data-path="../regression/kddcup12tr2.html">
<a href="../regression/kddcup12tr2.html">
- <b>8.2.</b>
+ <b>8.3.</b>
- KDDCup 2012 track 2 CTR prediction
+ KDDCup 2012 track 2 CTR prediction tutorial
</a>
@@ -1390,12 +1426,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.2.1" data-path="../regression/kddcup12tr2_dataset.html">
+ <li class="chapter " data-level="8.3.1" data-path="../regression/kddcup12tr2_dataset.html">
<a href="../regression/kddcup12tr2_dataset.html">
- <b>8.2.1.</b>
+ <b>8.3.1.</b>
Data preparation
@@ -1405,12 +1441,12 @@
</li>
- <li class="chapter " data-level="8.2.2" data-path="../regression/kddcup12tr2_lr.html">
+ <li class="chapter " data-level="8.3.2" data-path="../regression/kddcup12tr2_lr.html">
<a href="../regression/kddcup12tr2_lr.html">
- <b>8.2.2.</b>
+ <b>8.3.2.</b>
Logistic Regression, Passive Aggressive
@@ -1420,12 +1456,12 @@
</li>
- <li class="chapter " data-level="8.2.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
+ <li class="chapter " data-level="8.3.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
<a href="../regression/kddcup12tr2_lr_amplify.html">
- <b>8.2.3.</b>
+ <b>8.3.3.</b>
Logistic Regression with Amplifier
@@ -1435,12 +1471,12 @@
</li>
- <li class="chapter " data-level="8.2.4" data-path="../regression/kddcup12tr2_adagrad.html">
+ <li class="chapter " data-level="8.3.4" data-path="../regression/kddcup12tr2_adagrad.html">
<a href="../regression/kddcup12tr2_adagrad.html">
- <b>8.2.4.</b>
+ <b>8.3.4.</b>
AdaGrad, AdaDelta
@@ -2175,7 +2211,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
<script>
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----------------------------------------------------------------------
diff --git a/userguide/binaryclass/kdd2010b_dataset.html b/userguide/binaryclass/kdd2010b_dataset.html
index e77ff98..20ad678 100644
--- a/userguide/binaryclass/kdd2010b_dataset.html
+++ b/userguide/binaryclass/kdd2010b_dataset.html
@@ -598,14 +598,30 @@
</li>
- <li class="chapter " data-level="3.5" data-path="../ft_engineering/tfidf.html">
+ <li class="chapter " data-level="3.5" data-path="../ft_engineering/pairing.html">
- <a href="../ft_engineering/tfidf.html">
+ <a href="../ft_engineering/pairing.html">
<b>3.5.</b>
- TF-IDF Calculation
+ FEATURE PAIRING
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="3.5.1" data-path="../ft_engineering/polynomial.html">
+
+ <a href="../ft_engineering/polynomial.html">
+
+
+ <b>3.5.1.</b>
+
+ Polynomial Features
</a>
@@ -613,6 +629,11 @@
</li>
+
+ </ul>
+
+ </li>
+
<li class="chapter " data-level="3.6" data-path="../ft_engineering/ft_trans.html">
<a href="../ft_engineering/ft_trans.html">
@@ -664,6 +685,21 @@
</li>
+ <li class="chapter " data-level="3.7" data-path="../ft_engineering/tfidf.html">
+
+ <a href="../ft_engineering/tfidf.html">
+
+
+ <b>3.7.</b>
+
+ TF-IDF Calculation
+
+ </a>
+
+
+
+ </li>
+
@@ -761,7 +797,7 @@
- <li class="header">Part V - Prediction</li>
+ <li class="header">Part V - Supervised Learning</li>
@@ -780,27 +816,19 @@
</li>
- <li class="chapter " data-level="5.2" data-path="../regression/general.html">
-
- <a href="../regression/general.html">
-
-
- <b>5.2.</b>
-
- Regression
-
- </a>
-
-
- </li>
- <li class="chapter " data-level="5.3" data-path="general.html">
+
+ <li class="header">Part VI - Binary classification</li>
+
+
+
+ <li class="chapter " data-level="6.1" data-path="general.html">
<a href="general.html">
- <b>5.3.</b>
+ <b>6.1.</b>
Binary Classification
@@ -810,21 +838,14 @@
</li>
-
-
-
- <li class="header">Part VI - Binary classification tutorials</li>
-
-
-
- <li class="chapter " data-level="6.1" data-path="a9a.html">
+ <li class="chapter " data-level="6.2" data-path="a9a.html">
<a href="a9a.html">
- <b>6.1.</b>
+ <b>6.2.</b>
- a9a
+ a9a tutorial
</a>
@@ -833,12 +854,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.1.1" data-path="a9a_dataset.html">
+ <li class="chapter " data-level="6.2.1" data-path="a9a_dataset.html">
<a href="a9a_dataset.html">
- <b>6.1.1.</b>
+ <b>6.2.1.</b>
Data preparation
@@ -848,12 +869,12 @@
</li>
- <li class="chapter " data-level="6.1.2" data-path="a9a_lr.html">
+ <li class="chapter " data-level="6.2.2" data-path="a9a_lr.html">
<a href="a9a_lr.html">
- <b>6.1.2.</b>
+ <b>6.2.2.</b>
Logistic Regression
@@ -863,12 +884,12 @@
</li>
- <li class="chapter " data-level="6.1.3" data-path="a9a_minibatch.html">
+ <li class="chapter " data-level="6.2.3" data-path="a9a_minibatch.html">
<a href="a9a_minibatch.html">
- <b>6.1.3.</b>
+ <b>6.2.3.</b>
Mini-batch Gradient Descent
@@ -883,14 +904,14 @@
</li>
- <li class="chapter " data-level="6.2" data-path="news20.html">
+ <li class="chapter " data-level="6.3" data-path="news20.html">
<a href="news20.html">
- <b>6.2.</b>
+ <b>6.3.</b>
- News20
+ News20 tutorial
</a>
@@ -899,12 +920,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.2.1" data-path="news20_dataset.html">
+ <li class="chapter " data-level="6.3.1" data-path="news20_dataset.html">
<a href="news20_dataset.html">
- <b>6.2.1.</b>
+ <b>6.3.1.</b>
Data preparation
@@ -914,12 +935,12 @@
</li>
- <li class="chapter " data-level="6.2.2" data-path="news20_pa.html">
+ <li class="chapter " data-level="6.3.2" data-path="news20_pa.html">
<a href="news20_pa.html">
- <b>6.2.2.</b>
+ <b>6.3.2.</b>
Perceptron, Passive Aggressive
@@ -929,12 +950,12 @@
</li>
- <li class="chapter " data-level="6.2.3" data-path="news20_scw.html">
+ <li class="chapter " data-level="6.3.3" data-path="news20_scw.html">
<a href="news20_scw.html">
- <b>6.2.3.</b>
+ <b>6.3.3.</b>
CW, AROW, SCW
@@ -944,12 +965,12 @@
</li>
- <li class="chapter " data-level="6.2.4" data-path="news20_adagrad.html">
+ <li class="chapter " data-level="6.3.4" data-path="news20_adagrad.html">
<a href="news20_adagrad.html">
- <b>6.2.4.</b>
+ <b>6.3.4.</b>
AdaGradRDA, AdaGrad, AdaDelta
@@ -964,14 +985,14 @@
</li>
- <li class="chapter " data-level="6.3" data-path="kdd2010a.html">
+ <li class="chapter " data-level="6.4" data-path="kdd2010a.html">
<a href="kdd2010a.html">
- <b>6.3.</b>
+ <b>6.4.</b>
- KDD2010a
+ KDD2010a tutorial
</a>
@@ -980,12 +1001,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.3.1" data-path="kdd2010a_dataset.html">
+ <li class="chapter " data-level="6.4.1" data-path="kdd2010a_dataset.html">
<a href="kdd2010a_dataset.html">
- <b>6.3.1.</b>
+ <b>6.4.1.</b>
Data preparation
@@ -995,12 +1016,12 @@
</li>
- <li class="chapter " data-level="6.3.2" data-path="kdd2010a_scw.html">
+ <li class="chapter " data-level="6.4.2" data-path="kdd2010a_scw.html">
<a href="kdd2010a_scw.html">
- <b>6.3.2.</b>
+ <b>6.4.2.</b>
PA, CW, AROW, SCW
@@ -1015,14 +1036,14 @@
</li>
- <li class="chapter " data-level="6.4" data-path="kdd2010b.html">
+ <li class="chapter " data-level="6.5" data-path="kdd2010b.html">
<a href="kdd2010b.html">
- <b>6.4.</b>
+ <b>6.5.</b>
- KDD2010b
+ KDD2010b tutorial
</a>
@@ -1031,12 +1052,12 @@
<ul class="articles">
- <li class="chapter active" data-level="6.4.1" data-path="kdd2010b_dataset.html">
+ <li class="chapter active" data-level="6.5.1" data-path="kdd2010b_dataset.html">
<a href="kdd2010b_dataset.html">
- <b>6.4.1.</b>
+ <b>6.5.1.</b>
Data preparation
@@ -1046,12 +1067,12 @@
</li>
- <li class="chapter " data-level="6.4.2" data-path="kdd2010b_arow.html">
+ <li class="chapter " data-level="6.5.2" data-path="kdd2010b_arow.html">
<a href="kdd2010b_arow.html">
- <b>6.4.2.</b>
+ <b>6.5.2.</b>
AROW
@@ -1066,14 +1087,14 @@
</li>
- <li class="chapter " data-level="6.5" data-path="webspam.html">
+ <li class="chapter " data-level="6.6" data-path="webspam.html">
<a href="webspam.html">
- <b>6.5.</b>
+ <b>6.6.</b>
- Webspam
+ Webspam tutorial
</a>
@@ -1082,12 +1103,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.5.1" data-path="webspam_dataset.html">
+ <li class="chapter " data-level="6.6.1" data-path="webspam_dataset.html">
<a href="webspam_dataset.html">
- <b>6.5.1.</b>
+ <b>6.6.1.</b>
Data pareparation
@@ -1097,12 +1118,12 @@
</li>
- <li class="chapter " data-level="6.5.2" data-path="webspam_scw.html">
+ <li class="chapter " data-level="6.6.2" data-path="webspam_scw.html">
<a href="webspam_scw.html">
- <b>6.5.2.</b>
+ <b>6.6.2.</b>
PA1, AROW, SCW
@@ -1117,14 +1138,14 @@
</li>
- <li class="chapter " data-level="6.6" data-path="titanic_rf.html">
+ <li class="chapter " data-level="6.7" data-path="titanic_rf.html">
<a href="titanic_rf.html">
- <b>6.6.</b>
+ <b>6.7.</b>
- Kaggle Titanic
+ Kaggle Titanic tutorial
</a>
@@ -1135,7 +1156,7 @@
- <li class="header">Part VII - Multiclass classification tutorials</li>
+ <li class="header">Part VII - Multiclass classification</li>
@@ -1146,7 +1167,7 @@
<b>7.1.</b>
- News20 Multiclass
+ News20 Multiclass tutorial
</a>
@@ -1257,7 +1278,7 @@
<b>7.2.</b>
- Iris
+ Iris tutorial
</a>
@@ -1319,18 +1340,33 @@
- <li class="header">Part VIII - Regression tutorials</li>
+ <li class="header">Part VIII - Regression</li>
- <li class="chapter " data-level="8.1" data-path="../regression/e2006.html">
+ <li class="chapter " data-level="8.1" data-path="../regression/general.html">
- <a href="../regression/e2006.html">
+ <a href="../regression/general.html">
<b>8.1.</b>
- E2006-tfidf regression
+ Regression
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="8.2" data-path="../regression/e2006.html">
+
+ <a href="../regression/e2006.html">
+
+
+ <b>8.2.</b>
+
+ E2006-tfidf regression tutorial
</a>
@@ -1339,12 +1375,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.1.1" data-path="../regression/e2006_dataset.html">
+ <li class="chapter " data-level="8.2.1" data-path="../regression/e2006_dataset.html">
<a href="../regression/e2006_dataset.html">
- <b>8.1.1.</b>
+ <b>8.2.1.</b>
Data preparation
@@ -1354,12 +1390,12 @@
</li>
- <li class="chapter " data-level="8.1.2" data-path="../regression/e2006_arow.html">
+ <li class="chapter " data-level="8.2.2" data-path="../regression/e2006_arow.html">
<a href="../regression/e2006_arow.html">
- <b>8.1.2.</b>
+ <b>8.2.2.</b>
Passive Aggressive, AROW
@@ -1374,14 +1410,14 @@
</li>
- <li class="chapter " data-level="8.2" data-path="../regression/kddcup12tr2.html">
+ <li class="chapter " data-level="8.3" data-path="../regression/kddcup12tr2.html">
<a href="../regression/kddcup12tr2.html">
- <b>8.2.</b>
+ <b>8.3.</b>
- KDDCup 2012 track 2 CTR prediction
+ KDDCup 2012 track 2 CTR prediction tutorial
</a>
@@ -1390,12 +1426,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.2.1" data-path="../regression/kddcup12tr2_dataset.html">
+ <li class="chapter " data-level="8.3.1" data-path="../regression/kddcup12tr2_dataset.html">
<a href="../regression/kddcup12tr2_dataset.html">
- <b>8.2.1.</b>
+ <b>8.3.1.</b>
Data preparation
@@ -1405,12 +1441,12 @@
</li>
- <li class="chapter " data-level="8.2.2" data-path="../regression/kddcup12tr2_lr.html">
+ <li class="chapter " data-level="8.3.2" data-path="../regression/kddcup12tr2_lr.html">
<a href="../regression/kddcup12tr2_lr.html">
- <b>8.2.2.</b>
+ <b>8.3.2.</b>
Logistic Regression, Passive Aggressive
@@ -1420,12 +1456,12 @@
</li>
- <li class="chapter " data-level="8.2.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
+ <li class="chapter " data-level="8.3.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
<a href="../regression/kddcup12tr2_lr_amplify.html">
- <b>8.2.3.</b>
+ <b>8.3.3.</b>
Logistic Regression with Amplifier
@@ -1435,12 +1471,12 @@
</li>
- <li class="chapter " data-level="8.2.4" data-path="../regression/kddcup12tr2_adagrad.html">
+ <li class="chapter " data-level="8.3.4" data-path="../regression/kddcup12tr2_adagrad.html">
<a href="../regression/kddcup12tr2_adagrad.html">
- <b>8.2.4.</b>
+ <b>8.3.4.</b>
AdaGrad, AdaDelta
@@ -2183,7 +2219,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
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http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/ba518dab/userguide/binaryclass/news20.html
----------------------------------------------------------------------
diff --git a/userguide/binaryclass/news20.html b/userguide/binaryclass/news20.html
index b821985..ec0ae1d 100644
--- a/userguide/binaryclass/news20.html
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@@ -4,7 +4,7 @@
<head>
<meta charset="UTF-8">
<meta content="text/html; charset=utf-8" http-equiv="Content-Type">
- <title>News20 · Hivemall User Manual</title>
+ <title>News20 tutorial · Hivemall User Manual</title>
<meta http-equiv="X-UA-Compatible" content="IE=edge" />
<meta name="description" content="">
<meta name="generator" content="GitBook 3.2.2">
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</li>
- <li class="chapter " data-level="3.5" data-path="../ft_engineering/tfidf.html">
+ <li class="chapter " data-level="3.5" data-path="../ft_engineering/pairing.html">
- <a href="../ft_engineering/tfidf.html">
+ <a href="../ft_engineering/pairing.html">
<b>3.5.</b>
- TF-IDF Calculation
+ FEATURE PAIRING
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="3.5.1" data-path="../ft_engineering/polynomial.html">
+
+ <a href="../ft_engineering/polynomial.html">
+
+
+ <b>3.5.1.</b>
+
+ Polynomial Features
</a>
@@ -613,6 +629,11 @@
</li>
+
+ </ul>
+
+ </li>
+
<li class="chapter " data-level="3.6" data-path="../ft_engineering/ft_trans.html">
<a href="../ft_engineering/ft_trans.html">
@@ -664,6 +685,21 @@
</li>
+ <li class="chapter " data-level="3.7" data-path="../ft_engineering/tfidf.html">
+
+ <a href="../ft_engineering/tfidf.html">
+
+
+ <b>3.7.</b>
+
+ TF-IDF Calculation
+
+ </a>
+
+
+
+ </li>
+
@@ -761,7 +797,7 @@
- <li class="header">Part V - Prediction</li>
+ <li class="header">Part V - Supervised Learning</li>
@@ -780,27 +816,19 @@
</li>
- <li class="chapter " data-level="5.2" data-path="../regression/general.html">
-
- <a href="../regression/general.html">
-
-
- <b>5.2.</b>
-
- Regression
-
- </a>
-
-
- </li>
- <li class="chapter " data-level="5.3" data-path="general.html">
+
+ <li class="header">Part VI - Binary classification</li>
+
+
+
+ <li class="chapter " data-level="6.1" data-path="general.html">
<a href="general.html">
- <b>5.3.</b>
+ <b>6.1.</b>
Binary Classification
@@ -810,21 +838,14 @@
</li>
-
-
-
- <li class="header">Part VI - Binary classification tutorials</li>
-
-
-
- <li class="chapter " data-level="6.1" data-path="a9a.html">
+ <li class="chapter " data-level="6.2" data-path="a9a.html">
<a href="a9a.html">
- <b>6.1.</b>
+ <b>6.2.</b>
- a9a
+ a9a tutorial
</a>
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<ul class="articles">
- <li class="chapter " data-level="6.1.1" data-path="a9a_dataset.html">
+ <li class="chapter " data-level="6.2.1" data-path="a9a_dataset.html">
<a href="a9a_dataset.html">
- <b>6.1.1.</b>
+ <b>6.2.1.</b>
Data preparation
@@ -848,12 +869,12 @@
</li>
- <li class="chapter " data-level="6.1.2" data-path="a9a_lr.html">
+ <li class="chapter " data-level="6.2.2" data-path="a9a_lr.html">
<a href="a9a_lr.html">
- <b>6.1.2.</b>
+ <b>6.2.2.</b>
Logistic Regression
@@ -863,12 +884,12 @@
</li>
- <li class="chapter " data-level="6.1.3" data-path="a9a_minibatch.html">
+ <li class="chapter " data-level="6.2.3" data-path="a9a_minibatch.html">
<a href="a9a_minibatch.html">
- <b>6.1.3.</b>
+ <b>6.2.3.</b>
Mini-batch Gradient Descent
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</li>
- <li class="chapter active" data-level="6.2" data-path="news20.html">
+ <li class="chapter active" data-level="6.3" data-path="news20.html">
<a href="news20.html">
- <b>6.2.</b>
+ <b>6.3.</b>
- News20
+ News20 tutorial
</a>
@@ -899,12 +920,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.2.1" data-path="news20_dataset.html">
+ <li class="chapter " data-level="6.3.1" data-path="news20_dataset.html">
<a href="news20_dataset.html">
- <b>6.2.1.</b>
+ <b>6.3.1.</b>
Data preparation
@@ -914,12 +935,12 @@
</li>
- <li class="chapter " data-level="6.2.2" data-path="news20_pa.html">
+ <li class="chapter " data-level="6.3.2" data-path="news20_pa.html">
<a href="news20_pa.html">
- <b>6.2.2.</b>
+ <b>6.3.2.</b>
Perceptron, Passive Aggressive
@@ -929,12 +950,12 @@
</li>
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+ <li class="chapter " data-level="6.3.3" data-path="news20_scw.html">
<a href="news20_scw.html">
- <b>6.2.3.</b>
+ <b>6.3.3.</b>
CW, AROW, SCW
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</li>
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+ <li class="chapter " data-level="6.3.4" data-path="news20_adagrad.html">
<a href="news20_adagrad.html">
- <b>6.2.4.</b>
+ <b>6.3.4.</b>
AdaGradRDA, AdaGrad, AdaDelta
@@ -964,14 +985,14 @@
</li>
- <li class="chapter " data-level="6.3" data-path="kdd2010a.html">
+ <li class="chapter " data-level="6.4" data-path="kdd2010a.html">
<a href="kdd2010a.html">
- <b>6.3.</b>
+ <b>6.4.</b>
- KDD2010a
+ KDD2010a tutorial
</a>
@@ -980,12 +1001,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.3.1" data-path="kdd2010a_dataset.html">
+ <li class="chapter " data-level="6.4.1" data-path="kdd2010a_dataset.html">
<a href="kdd2010a_dataset.html">
- <b>6.3.1.</b>
+ <b>6.4.1.</b>
Data preparation
@@ -995,12 +1016,12 @@
</li>
- <li class="chapter " data-level="6.3.2" data-path="kdd2010a_scw.html">
+ <li class="chapter " data-level="6.4.2" data-path="kdd2010a_scw.html">
<a href="kdd2010a_scw.html">
- <b>6.3.2.</b>
+ <b>6.4.2.</b>
PA, CW, AROW, SCW
@@ -1015,14 +1036,14 @@
</li>
- <li class="chapter " data-level="6.4" data-path="kdd2010b.html">
+ <li class="chapter " data-level="6.5" data-path="kdd2010b.html">
<a href="kdd2010b.html">
- <b>6.4.</b>
+ <b>6.5.</b>
- KDD2010b
+ KDD2010b tutorial
</a>
@@ -1031,12 +1052,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.4.1" data-path="kdd2010b_dataset.html">
+ <li class="chapter " data-level="6.5.1" data-path="kdd2010b_dataset.html">
<a href="kdd2010b_dataset.html">
- <b>6.4.1.</b>
+ <b>6.5.1.</b>
Data preparation
@@ -1046,12 +1067,12 @@
</li>
- <li class="chapter " data-level="6.4.2" data-path="kdd2010b_arow.html">
+ <li class="chapter " data-level="6.5.2" data-path="kdd2010b_arow.html">
<a href="kdd2010b_arow.html">
- <b>6.4.2.</b>
+ <b>6.5.2.</b>
AROW
@@ -1066,14 +1087,14 @@
</li>
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+ <li class="chapter " data-level="6.6" data-path="webspam.html">
<a href="webspam.html">
- <b>6.5.</b>
+ <b>6.6.</b>
- Webspam
+ Webspam tutorial
</a>
@@ -1082,12 +1103,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.5.1" data-path="webspam_dataset.html">
+ <li class="chapter " data-level="6.6.1" data-path="webspam_dataset.html">
<a href="webspam_dataset.html">
- <b>6.5.1.</b>
+ <b>6.6.1.</b>
Data pareparation
@@ -1097,12 +1118,12 @@
</li>
- <li class="chapter " data-level="6.5.2" data-path="webspam_scw.html">
+ <li class="chapter " data-level="6.6.2" data-path="webspam_scw.html">
<a href="webspam_scw.html">
- <b>6.5.2.</b>
+ <b>6.6.2.</b>
PA1, AROW, SCW
@@ -1117,14 +1138,14 @@
</li>
- <li class="chapter " data-level="6.6" data-path="titanic_rf.html">
+ <li class="chapter " data-level="6.7" data-path="titanic_rf.html">
<a href="titanic_rf.html">
- <b>6.6.</b>
+ <b>6.7.</b>
- Kaggle Titanic
+ Kaggle Titanic tutorial
</a>
@@ -1135,7 +1156,7 @@
- <li class="header">Part VII - Multiclass classification tutorials</li>
+ <li class="header">Part VII - Multiclass classification</li>
@@ -1146,7 +1167,7 @@
<b>7.1.</b>
- News20 Multiclass
+ News20 Multiclass tutorial
</a>
@@ -1257,7 +1278,7 @@
<b>7.2.</b>
- Iris
+ Iris tutorial
</a>
@@ -1319,18 +1340,33 @@
- <li class="header">Part VIII - Regression tutorials</li>
+ <li class="header">Part VIII - Regression</li>
- <li class="chapter " data-level="8.1" data-path="../regression/e2006.html">
+ <li class="chapter " data-level="8.1" data-path="../regression/general.html">
- <a href="../regression/e2006.html">
+ <a href="../regression/general.html">
<b>8.1.</b>
- E2006-tfidf regression
+ Regression
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="8.2" data-path="../regression/e2006.html">
+
+ <a href="../regression/e2006.html">
+
+
+ <b>8.2.</b>
+
+ E2006-tfidf regression tutorial
</a>
@@ -1339,12 +1375,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.1.1" data-path="../regression/e2006_dataset.html">
+ <li class="chapter " data-level="8.2.1" data-path="../regression/e2006_dataset.html">
<a href="../regression/e2006_dataset.html">
- <b>8.1.1.</b>
+ <b>8.2.1.</b>
Data preparation
@@ -1354,12 +1390,12 @@
</li>
- <li class="chapter " data-level="8.1.2" data-path="../regression/e2006_arow.html">
+ <li class="chapter " data-level="8.2.2" data-path="../regression/e2006_arow.html">
<a href="../regression/e2006_arow.html">
- <b>8.1.2.</b>
+ <b>8.2.2.</b>
Passive Aggressive, AROW
@@ -1374,14 +1410,14 @@
</li>
- <li class="chapter " data-level="8.2" data-path="../regression/kddcup12tr2.html">
+ <li class="chapter " data-level="8.3" data-path="../regression/kddcup12tr2.html">
<a href="../regression/kddcup12tr2.html">
- <b>8.2.</b>
+ <b>8.3.</b>
- KDDCup 2012 track 2 CTR prediction
+ KDDCup 2012 track 2 CTR prediction tutorial
</a>
@@ -1390,12 +1426,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.2.1" data-path="../regression/kddcup12tr2_dataset.html">
+ <li class="chapter " data-level="8.3.1" data-path="../regression/kddcup12tr2_dataset.html">
<a href="../regression/kddcup12tr2_dataset.html">
- <b>8.2.1.</b>
+ <b>8.3.1.</b>
Data preparation
@@ -1405,12 +1441,12 @@
</li>
- <li class="chapter " data-level="8.2.2" data-path="../regression/kddcup12tr2_lr.html">
+ <li class="chapter " data-level="8.3.2" data-path="../regression/kddcup12tr2_lr.html">
<a href="../regression/kddcup12tr2_lr.html">
- <b>8.2.2.</b>
+ <b>8.3.2.</b>
Logistic Regression, Passive Aggressive
@@ -1420,12 +1456,12 @@
</li>
- <li class="chapter " data-level="8.2.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
+ <li class="chapter " data-level="8.3.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
<a href="../regression/kddcup12tr2_lr_amplify.html">
- <b>8.2.3.</b>
+ <b>8.3.3.</b>
Logistic Regression with Amplifier
@@ -1435,12 +1471,12 @@
</li>
- <li class="chapter " data-level="8.2.4" data-path="../regression/kddcup12tr2_adagrad.html">
+ <li class="chapter " data-level="8.3.4" data-path="../regression/kddcup12tr2_adagrad.html">
<a href="../regression/kddcup12tr2_adagrad.html">
- <b>8.2.4.</b>
+ <b>8.3.4.</b>
AdaGrad, AdaDelta
@@ -2041,7 +2077,7 @@
<!-- Title -->
<h1>
<i class="fa fa-circle-o-notch fa-spin"></i>
- <a href=".." >News20</a>
+ <a href=".." >News20 tutorial</a>
</h1>
</div>
@@ -2129,7 +2165,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
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[29/41] incubator-hivemall-site git commit: Added descriptions about
Feature Pairing in the user guide
Posted by my...@apache.org.
http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/ba518dab/userguide/ft_engineering/hashing.html
----------------------------------------------------------------------
diff --git a/userguide/ft_engineering/hashing.html b/userguide/ft_engineering/hashing.html
index 137a9ab..4b5fd57 100644
--- a/userguide/ft_engineering/hashing.html
+++ b/userguide/ft_engineering/hashing.html
@@ -598,14 +598,30 @@
</li>
- <li class="chapter " data-level="3.5" data-path="tfidf.html">
+ <li class="chapter " data-level="3.5" data-path="pairing.html">
- <a href="tfidf.html">
+ <a href="pairing.html">
<b>3.5.</b>
- TF-IDF Calculation
+ FEATURE PAIRING
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="3.5.1" data-path="polynomial.html">
+
+ <a href="polynomial.html">
+
+
+ <b>3.5.1.</b>
+
+ Polynomial Features
</a>
@@ -613,6 +629,11 @@
</li>
+
+ </ul>
+
+ </li>
+
<li class="chapter " data-level="3.6" data-path="ft_trans.html">
<a href="ft_trans.html">
@@ -664,6 +685,21 @@
</li>
+ <li class="chapter " data-level="3.7" data-path="tfidf.html">
+
+ <a href="tfidf.html">
+
+
+ <b>3.7.</b>
+
+ TF-IDF Calculation
+
+ </a>
+
+
+
+ </li>
+
@@ -761,7 +797,7 @@
- <li class="header">Part V - Prediction</li>
+ <li class="header">Part V - Supervised Learning</li>
@@ -780,27 +816,19 @@
</li>
- <li class="chapter " data-level="5.2" data-path="../regression/general.html">
-
- <a href="../regression/general.html">
-
-
- <b>5.2.</b>
-
- Regression
-
- </a>
-
-
- </li>
- <li class="chapter " data-level="5.3" data-path="../binaryclass/general.html">
+
+ <li class="header">Part VI - Binary classification</li>
+
+
+
+ <li class="chapter " data-level="6.1" data-path="../binaryclass/general.html">
<a href="../binaryclass/general.html">
- <b>5.3.</b>
+ <b>6.1.</b>
Binary Classification
@@ -810,21 +838,14 @@
</li>
-
-
-
- <li class="header">Part VI - Binary classification tutorials</li>
-
-
-
- <li class="chapter " data-level="6.1" data-path="../binaryclass/a9a.html">
+ <li class="chapter " data-level="6.2" data-path="../binaryclass/a9a.html">
<a href="../binaryclass/a9a.html">
- <b>6.1.</b>
+ <b>6.2.</b>
- a9a
+ a9a tutorial
</a>
@@ -833,12 +854,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.1.1" data-path="../binaryclass/a9a_dataset.html">
+ <li class="chapter " data-level="6.2.1" data-path="../binaryclass/a9a_dataset.html">
<a href="../binaryclass/a9a_dataset.html">
- <b>6.1.1.</b>
+ <b>6.2.1.</b>
Data preparation
@@ -848,12 +869,12 @@
</li>
- <li class="chapter " data-level="6.1.2" data-path="../binaryclass/a9a_lr.html">
+ <li class="chapter " data-level="6.2.2" data-path="../binaryclass/a9a_lr.html">
<a href="../binaryclass/a9a_lr.html">
- <b>6.1.2.</b>
+ <b>6.2.2.</b>
Logistic Regression
@@ -863,12 +884,12 @@
</li>
- <li class="chapter " data-level="6.1.3" data-path="../binaryclass/a9a_minibatch.html">
+ <li class="chapter " data-level="6.2.3" data-path="../binaryclass/a9a_minibatch.html">
<a href="../binaryclass/a9a_minibatch.html">
- <b>6.1.3.</b>
+ <b>6.2.3.</b>
Mini-batch Gradient Descent
@@ -883,14 +904,14 @@
</li>
- <li class="chapter " data-level="6.2" data-path="../binaryclass/news20.html">
+ <li class="chapter " data-level="6.3" data-path="../binaryclass/news20.html">
<a href="../binaryclass/news20.html">
- <b>6.2.</b>
+ <b>6.3.</b>
- News20
+ News20 tutorial
</a>
@@ -899,12 +920,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.2.1" data-path="../binaryclass/news20_dataset.html">
+ <li class="chapter " data-level="6.3.1" data-path="../binaryclass/news20_dataset.html">
<a href="../binaryclass/news20_dataset.html">
- <b>6.2.1.</b>
+ <b>6.3.1.</b>
Data preparation
@@ -914,12 +935,12 @@
</li>
- <li class="chapter " data-level="6.2.2" data-path="../binaryclass/news20_pa.html">
+ <li class="chapter " data-level="6.3.2" data-path="../binaryclass/news20_pa.html">
<a href="../binaryclass/news20_pa.html">
- <b>6.2.2.</b>
+ <b>6.3.2.</b>
Perceptron, Passive Aggressive
@@ -929,12 +950,12 @@
</li>
- <li class="chapter " data-level="6.2.3" data-path="../binaryclass/news20_scw.html">
+ <li class="chapter " data-level="6.3.3" data-path="../binaryclass/news20_scw.html">
<a href="../binaryclass/news20_scw.html">
- <b>6.2.3.</b>
+ <b>6.3.3.</b>
CW, AROW, SCW
@@ -944,12 +965,12 @@
</li>
- <li class="chapter " data-level="6.2.4" data-path="../binaryclass/news20_adagrad.html">
+ <li class="chapter " data-level="6.3.4" data-path="../binaryclass/news20_adagrad.html">
<a href="../binaryclass/news20_adagrad.html">
- <b>6.2.4.</b>
+ <b>6.3.4.</b>
AdaGradRDA, AdaGrad, AdaDelta
@@ -964,14 +985,14 @@
</li>
- <li class="chapter " data-level="6.3" data-path="../binaryclass/kdd2010a.html">
+ <li class="chapter " data-level="6.4" data-path="../binaryclass/kdd2010a.html">
<a href="../binaryclass/kdd2010a.html">
- <b>6.3.</b>
+ <b>6.4.</b>
- KDD2010a
+ KDD2010a tutorial
</a>
@@ -980,12 +1001,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.3.1" data-path="../binaryclass/kdd2010a_dataset.html">
+ <li class="chapter " data-level="6.4.1" data-path="../binaryclass/kdd2010a_dataset.html">
<a href="../binaryclass/kdd2010a_dataset.html">
- <b>6.3.1.</b>
+ <b>6.4.1.</b>
Data preparation
@@ -995,12 +1016,12 @@
</li>
- <li class="chapter " data-level="6.3.2" data-path="../binaryclass/kdd2010a_scw.html">
+ <li class="chapter " data-level="6.4.2" data-path="../binaryclass/kdd2010a_scw.html">
<a href="../binaryclass/kdd2010a_scw.html">
- <b>6.3.2.</b>
+ <b>6.4.2.</b>
PA, CW, AROW, SCW
@@ -1015,14 +1036,14 @@
</li>
- <li class="chapter " data-level="6.4" data-path="../binaryclass/kdd2010b.html">
+ <li class="chapter " data-level="6.5" data-path="../binaryclass/kdd2010b.html">
<a href="../binaryclass/kdd2010b.html">
- <b>6.4.</b>
+ <b>6.5.</b>
- KDD2010b
+ KDD2010b tutorial
</a>
@@ -1031,12 +1052,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.4.1" data-path="../binaryclass/kdd2010b_dataset.html">
+ <li class="chapter " data-level="6.5.1" data-path="../binaryclass/kdd2010b_dataset.html">
<a href="../binaryclass/kdd2010b_dataset.html">
- <b>6.4.1.</b>
+ <b>6.5.1.</b>
Data preparation
@@ -1046,12 +1067,12 @@
</li>
- <li class="chapter " data-level="6.4.2" data-path="../binaryclass/kdd2010b_arow.html">
+ <li class="chapter " data-level="6.5.2" data-path="../binaryclass/kdd2010b_arow.html">
<a href="../binaryclass/kdd2010b_arow.html">
- <b>6.4.2.</b>
+ <b>6.5.2.</b>
AROW
@@ -1066,14 +1087,14 @@
</li>
- <li class="chapter " data-level="6.5" data-path="../binaryclass/webspam.html">
+ <li class="chapter " data-level="6.6" data-path="../binaryclass/webspam.html">
<a href="../binaryclass/webspam.html">
- <b>6.5.</b>
+ <b>6.6.</b>
- Webspam
+ Webspam tutorial
</a>
@@ -1082,12 +1103,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.5.1" data-path="../binaryclass/webspam_dataset.html">
+ <li class="chapter " data-level="6.6.1" data-path="../binaryclass/webspam_dataset.html">
<a href="../binaryclass/webspam_dataset.html">
- <b>6.5.1.</b>
+ <b>6.6.1.</b>
Data pareparation
@@ -1097,12 +1118,12 @@
</li>
- <li class="chapter " data-level="6.5.2" data-path="../binaryclass/webspam_scw.html">
+ <li class="chapter " data-level="6.6.2" data-path="../binaryclass/webspam_scw.html">
<a href="../binaryclass/webspam_scw.html">
- <b>6.5.2.</b>
+ <b>6.6.2.</b>
PA1, AROW, SCW
@@ -1117,14 +1138,14 @@
</li>
- <li class="chapter " data-level="6.6" data-path="../binaryclass/titanic_rf.html">
+ <li class="chapter " data-level="6.7" data-path="../binaryclass/titanic_rf.html">
<a href="../binaryclass/titanic_rf.html">
- <b>6.6.</b>
+ <b>6.7.</b>
- Kaggle Titanic
+ Kaggle Titanic tutorial
</a>
@@ -1135,7 +1156,7 @@
- <li class="header">Part VII - Multiclass classification tutorials</li>
+ <li class="header">Part VII - Multiclass classification</li>
@@ -1146,7 +1167,7 @@
<b>7.1.</b>
- News20 Multiclass
+ News20 Multiclass tutorial
</a>
@@ -1257,7 +1278,7 @@
<b>7.2.</b>
- Iris
+ Iris tutorial
</a>
@@ -1319,18 +1340,33 @@
- <li class="header">Part VIII - Regression tutorials</li>
+ <li class="header">Part VIII - Regression</li>
- <li class="chapter " data-level="8.1" data-path="../regression/e2006.html">
+ <li class="chapter " data-level="8.1" data-path="../regression/general.html">
- <a href="../regression/e2006.html">
+ <a href="../regression/general.html">
<b>8.1.</b>
- E2006-tfidf regression
+ Regression
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="8.2" data-path="../regression/e2006.html">
+
+ <a href="../regression/e2006.html">
+
+
+ <b>8.2.</b>
+
+ E2006-tfidf regression tutorial
</a>
@@ -1339,12 +1375,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.1.1" data-path="../regression/e2006_dataset.html">
+ <li class="chapter " data-level="8.2.1" data-path="../regression/e2006_dataset.html">
<a href="../regression/e2006_dataset.html">
- <b>8.1.1.</b>
+ <b>8.2.1.</b>
Data preparation
@@ -1354,12 +1390,12 @@
</li>
- <li class="chapter " data-level="8.1.2" data-path="../regression/e2006_arow.html">
+ <li class="chapter " data-level="8.2.2" data-path="../regression/e2006_arow.html">
<a href="../regression/e2006_arow.html">
- <b>8.1.2.</b>
+ <b>8.2.2.</b>
Passive Aggressive, AROW
@@ -1374,14 +1410,14 @@
</li>
- <li class="chapter " data-level="8.2" data-path="../regression/kddcup12tr2.html">
+ <li class="chapter " data-level="8.3" data-path="../regression/kddcup12tr2.html">
<a href="../regression/kddcup12tr2.html">
- <b>8.2.</b>
+ <b>8.3.</b>
- KDDCup 2012 track 2 CTR prediction
+ KDDCup 2012 track 2 CTR prediction tutorial
</a>
@@ -1390,12 +1426,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.2.1" data-path="../regression/kddcup12tr2_dataset.html">
+ <li class="chapter " data-level="8.3.1" data-path="../regression/kddcup12tr2_dataset.html">
<a href="../regression/kddcup12tr2_dataset.html">
- <b>8.2.1.</b>
+ <b>8.3.1.</b>
Data preparation
@@ -1405,12 +1441,12 @@
</li>
- <li class="chapter " data-level="8.2.2" data-path="../regression/kddcup12tr2_lr.html">
+ <li class="chapter " data-level="8.3.2" data-path="../regression/kddcup12tr2_lr.html">
<a href="../regression/kddcup12tr2_lr.html">
- <b>8.2.2.</b>
+ <b>8.3.2.</b>
Logistic Regression, Passive Aggressive
@@ -1420,12 +1456,12 @@
</li>
- <li class="chapter " data-level="8.2.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
+ <li class="chapter " data-level="8.3.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
<a href="../regression/kddcup12tr2_lr_amplify.html">
- <b>8.2.3.</b>
+ <b>8.3.3.</b>
Logistic Regression with Amplifier
@@ -1435,12 +1471,12 @@
</li>
- <li class="chapter " data-level="8.2.4" data-path="../regression/kddcup12tr2_adagrad.html">
+ <li class="chapter " data-level="8.3.4" data-path="../regression/kddcup12tr2_adagrad.html">
<a href="../regression/kddcup12tr2_adagrad.html">
- <b>8.2.4.</b>
+ <b>8.3.4.</b>
AdaGrad, AdaDelta
@@ -2210,7 +2246,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
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http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/ba518dab/userguide/ft_engineering/pairing.html
----------------------------------------------------------------------
diff --git a/userguide/ft_engineering/pairing.html b/userguide/ft_engineering/pairing.html
new file mode 100644
index 0000000..ee0e17c
--- /dev/null
+++ b/userguide/ft_engineering/pairing.html
@@ -0,0 +1,2240 @@
+
+<!DOCTYPE HTML>
+<html lang="" >
+ <head>
+ <meta charset="UTF-8">
+ <meta content="text/html; charset=utf-8" http-equiv="Content-Type">
+ <title>FEATURE PAIRING · Hivemall User Manual</title>
+ <meta http-equiv="X-UA-Compatible" content="IE=edge" />
+ <meta name="description" content="">
+ <meta name="generator" content="GitBook 3.2.2">
+
+
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+ <link rel="shortcut icon" href="../gitbook/images/favicon.ico" type="image/x-icon">
+
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+ <link rel="next" href="polynomial.html" />
+
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+ <link rel="prev" href="binning.html" />
+
+
+ </head>
+ <body>
+
+<div class="book">
+ <div class="book-summary">
+
+
+<div id="book-search-input" role="search">
+ <input type="text" placeholder="Type to search" />
+</div>
+
+
+ <nav role="navigation">
+
+
+
+<ul class="summary">
+
+
+
+
+ <li>
+ <a href="http://hivemall.incubator.apache.org/" target="_blank" class="custom-link"><i class="fa fa-home"></i> Home</a>
+ </li>
+
+
+
+
+ <li class="divider"></li>
+
+
+
+
+ <li class="header">TABLE OF CONTENTS</li>
+
+
+
+ <li class="chapter " data-level="1.1" data-path="../">
+
+ <a href="../">
+
+
+ <b>1.1.</b>
+
+ Introduction
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="1.2" data-path="../getting_started/">
+
+ <a href="../getting_started/">
+
+
+ <b>1.2.</b>
+
+ Getting Started
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="1.2.1" data-path="../getting_started/installation.html">
+
+ <a href="../getting_started/installation.html">
+
+
+ <b>1.2.1.</b>
+
+ Installation
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="1.2.2" data-path="../getting_started/permanent-functions.html">
+
+ <a href="../getting_started/permanent-functions.html">
+
+
+ <b>1.2.2.</b>
+
+ Install as permanent functions
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="1.2.3" data-path="../getting_started/input-format.html">
+
+ <a href="../getting_started/input-format.html">
+
+
+ <b>1.2.3.</b>
+
+ Input Format
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+ <li class="chapter " data-level="1.3" data-path="../tips/">
+
+ <a href="../tips/">
+
+
+ <b>1.3.</b>
+
+ Tips for Effective Hivemall
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="1.3.1" data-path="../tips/addbias.html">
+
+ <a href="../tips/addbias.html">
+
+
+ <b>1.3.1.</b>
+
+ Explicit addBias() for better prediction
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="1.3.2" data-path="../tips/rand_amplify.html">
+
+ <a href="../tips/rand_amplify.html">
+
+
+ <b>1.3.2.</b>
+
+ Use rand_amplify() to better prediction results
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="1.3.3" data-path="../tips/rt_prediction.html">
+
+ <a href="../tips/rt_prediction.html">
+
+
+ <b>1.3.3.</b>
+
+ Real-time Prediction on RDBMS
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="1.3.4" data-path="../tips/ensemble_learning.html">
+
+ <a href="../tips/ensemble_learning.html">
+
+
+ <b>1.3.4.</b>
+
+ Ensemble learning for stable prediction
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="1.3.5" data-path="../tips/mixserver.html">
+
+ <a href="../tips/mixserver.html">
+
+
+ <b>1.3.5.</b>
+
+ Mixing models for a better prediction convergence (MIX server)
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="1.3.6" data-path="../tips/emr.html">
+
+ <a href="../tips/emr.html">
+
+
+ <b>1.3.6.</b>
+
+ Run Hivemall on Amazon Elastic MapReduce
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+ <li class="chapter " data-level="1.4" data-path="../tips/general_tips.html">
+
+ <a href="../tips/general_tips.html">
+
+
+ <b>1.4.</b>
+
+ General Hive/Hadoop tips
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="1.4.1" data-path="../tips/rowid.html">
+
+ <a href="../tips/rowid.html">
+
+
+ <b>1.4.1.</b>
+
+ Adding rowid for each row
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="1.4.2" data-path="../tips/hadoop_tuning.html">
+
+ <a href="../tips/hadoop_tuning.html">
+
+
+ <b>1.4.2.</b>
+
+ Hadoop tuning for Hivemall
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+ <li class="chapter " data-level="1.5" data-path="../troubleshooting/">
+
+ <a href="../troubleshooting/">
+
+
+ <b>1.5.</b>
+
+ Troubleshooting
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="1.5.1" data-path="../troubleshooting/oom.html">
+
+ <a href="../troubleshooting/oom.html">
+
+
+ <b>1.5.1.</b>
+
+ OutOfMemoryError in training
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="1.5.2" data-path="../troubleshooting/mapjoin_task_error.html">
+
+ <a href="../troubleshooting/mapjoin_task_error.html">
+
+
+ <b>1.5.2.</b>
+
+ SemanticException Generate Map Join Task Error: Cannot serialize object
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="1.5.3" data-path="../troubleshooting/asterisk.html">
+
+ <a href="../troubleshooting/asterisk.html">
+
+
+ <b>1.5.3.</b>
+
+ Asterisk argument for UDTF does not work
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="1.5.4" data-path="../troubleshooting/num_mappers.html">
+
+ <a href="../troubleshooting/num_mappers.html">
+
+
+ <b>1.5.4.</b>
+
+ The number of mappers is less than input splits in Hadoop 2.x
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="1.5.5" data-path="../troubleshooting/mapjoin_classcastex.html">
+
+ <a href="../troubleshooting/mapjoin_classcastex.html">
+
+
+ <b>1.5.5.</b>
+
+ Map-side Join causes ClassCastException on Tez
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+
+
+
+ <li class="header">Part II - Generic Features</li>
+
+
+
+ <li class="chapter " data-level="2.1" data-path="../misc/generic_funcs.html">
+
+ <a href="../misc/generic_funcs.html">
+
+
+ <b>2.1.</b>
+
+ List of generic Hivemall functions
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="2.2" data-path="../misc/topk.html">
+
+ <a href="../misc/topk.html">
+
+
+ <b>2.2.</b>
+
+ Efficient Top-K query processing
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="2.3" data-path="../misc/tokenizer.html">
+
+ <a href="../misc/tokenizer.html">
+
+
+ <b>2.3.</b>
+
+ English/Japanese Text Tokenizer
+
+ </a>
+
+
+
+ </li>
+
+
+
+
+ <li class="header">Part III - Feature Engineering</li>
+
+
+
+ <li class="chapter " data-level="3.1" data-path="scaling.html">
+
+ <a href="scaling.html">
+
+
+ <b>3.1.</b>
+
+ Feature Scaling
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="3.2" data-path="hashing.html">
+
+ <a href="hashing.html">
+
+
+ <b>3.2.</b>
+
+ Feature Hashing
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="3.3" data-path="selection.html">
+
+ <a href="selection.html">
+
+
+ <b>3.3.</b>
+
+ Feature Selection
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="3.4" data-path="binning.html">
+
+ <a href="binning.html">
+
+
+ <b>3.4.</b>
+
+ Feature Binning
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter active" data-level="3.5" data-path="pairing.html">
+
+ <a href="pairing.html">
+
+
+ <b>3.5.</b>
+
+ FEATURE PAIRING
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="3.5.1" data-path="polynomial.html">
+
+ <a href="polynomial.html">
+
+
+ <b>3.5.1.</b>
+
+ Polynomial Features
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+ <li class="chapter " data-level="3.6" data-path="ft_trans.html">
+
+ <a href="ft_trans.html">
+
+
+ <b>3.6.</b>
+
+ FEATURE TRANSFORMATION
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="3.6.1" data-path="vectorization.html">
+
+ <a href="vectorization.html">
+
+
+ <b>3.6.1.</b>
+
+ Feature Vectorization
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="3.6.2" data-path="quantify.html">
+
+ <a href="quantify.html">
+
+
+ <b>3.6.2.</b>
+
+ Quantify non-number features
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+ <li class="chapter " data-level="3.7" data-path="tfidf.html">
+
+ <a href="tfidf.html">
+
+
+ <b>3.7.</b>
+
+ TF-IDF Calculation
+
+ </a>
+
+
+
+ </li>
+
+
+
+
+ <li class="header">Part IV - Evaluation</li>
+
+
+
+ <li class="chapter " data-level="4.1" data-path="../eval/stat_eval.html">
+
+ <a href="../eval/stat_eval.html">
+
+
+ <b>4.1.</b>
+
+ Statistical evaluation of a prediction model
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="4.1.1" data-path="../eval/auc.html">
+
+ <a href="../eval/auc.html">
+
+
+ <b>4.1.1.</b>
+
+ Area Under the ROC Curve
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+ <li class="chapter " data-level="4.2" data-path="../eval/rank.html">
+
+ <a href="../eval/rank.html">
+
+
+ <b>4.2.</b>
+
+ Ranking Measures
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="4.3" data-path="../eval/datagen.html">
+
+ <a href="../eval/datagen.html">
+
+
+ <b>4.3.</b>
+
+ Data Generation
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="4.3.1" data-path="../eval/lr_datagen.html">
+
+ <a href="../eval/lr_datagen.html">
+
+
+ <b>4.3.1.</b>
+
+ Logistic Regression data generation
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+
+
+
+ <li class="header">Part V - Supervised Learning</li>
+
+
+
+ <li class="chapter " data-level="5.1" data-path="../misc/prediction.html">
+
+ <a href="../misc/prediction.html">
+
+
+ <b>5.1.</b>
+
+ How Prediction Works
+
+ </a>
+
+
+
+ </li>
+
+
+
+
+ <li class="header">Part VI - Binary classification</li>
+
+
+
+ <li class="chapter " data-level="6.1" data-path="../binaryclass/general.html">
+
+ <a href="../binaryclass/general.html">
+
+
+ <b>6.1.</b>
+
+ Binary Classification
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="6.2" data-path="../binaryclass/a9a.html">
+
+ <a href="../binaryclass/a9a.html">
+
+
+ <b>6.2.</b>
+
+ a9a tutorial
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="6.2.1" data-path="../binaryclass/a9a_dataset.html">
+
+ <a href="../binaryclass/a9a_dataset.html">
+
+
+ <b>6.2.1.</b>
+
+ Data preparation
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="6.2.2" data-path="../binaryclass/a9a_lr.html">
+
+ <a href="../binaryclass/a9a_lr.html">
+
+
+ <b>6.2.2.</b>
+
+ Logistic Regression
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="6.2.3" data-path="../binaryclass/a9a_minibatch.html">
+
+ <a href="../binaryclass/a9a_minibatch.html">
+
+
+ <b>6.2.3.</b>
+
+ Mini-batch Gradient Descent
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+ <li class="chapter " data-level="6.3" data-path="../binaryclass/news20.html">
+
+ <a href="../binaryclass/news20.html">
+
+
+ <b>6.3.</b>
+
+ News20 tutorial
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="6.3.1" data-path="../binaryclass/news20_dataset.html">
+
+ <a href="../binaryclass/news20_dataset.html">
+
+
+ <b>6.3.1.</b>
+
+ Data preparation
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="6.3.2" data-path="../binaryclass/news20_pa.html">
+
+ <a href="../binaryclass/news20_pa.html">
+
+
+ <b>6.3.2.</b>
+
+ Perceptron, Passive Aggressive
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="6.3.3" data-path="../binaryclass/news20_scw.html">
+
+ <a href="../binaryclass/news20_scw.html">
+
+
+ <b>6.3.3.</b>
+
+ CW, AROW, SCW
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="6.3.4" data-path="../binaryclass/news20_adagrad.html">
+
+ <a href="../binaryclass/news20_adagrad.html">
+
+
+ <b>6.3.4.</b>
+
+ AdaGradRDA, AdaGrad, AdaDelta
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+ <li class="chapter " data-level="6.4" data-path="../binaryclass/kdd2010a.html">
+
+ <a href="../binaryclass/kdd2010a.html">
+
+
+ <b>6.4.</b>
+
+ KDD2010a tutorial
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="6.4.1" data-path="../binaryclass/kdd2010a_dataset.html">
+
+ <a href="../binaryclass/kdd2010a_dataset.html">
+
+
+ <b>6.4.1.</b>
+
+ Data preparation
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="6.4.2" data-path="../binaryclass/kdd2010a_scw.html">
+
+ <a href="../binaryclass/kdd2010a_scw.html">
+
+
+ <b>6.4.2.</b>
+
+ PA, CW, AROW, SCW
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+ <li class="chapter " data-level="6.5" data-path="../binaryclass/kdd2010b.html">
+
+ <a href="../binaryclass/kdd2010b.html">
+
+
+ <b>6.5.</b>
+
+ KDD2010b tutorial
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="6.5.1" data-path="../binaryclass/kdd2010b_dataset.html">
+
+ <a href="../binaryclass/kdd2010b_dataset.html">
+
+
+ <b>6.5.1.</b>
+
+ Data preparation
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="6.5.2" data-path="../binaryclass/kdd2010b_arow.html">
+
+ <a href="../binaryclass/kdd2010b_arow.html">
+
+
+ <b>6.5.2.</b>
+
+ AROW
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+ <li class="chapter " data-level="6.6" data-path="../binaryclass/webspam.html">
+
+ <a href="../binaryclass/webspam.html">
+
+
+ <b>6.6.</b>
+
+ Webspam tutorial
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="6.6.1" data-path="../binaryclass/webspam_dataset.html">
+
+ <a href="../binaryclass/webspam_dataset.html">
+
+
+ <b>6.6.1.</b>
+
+ Data pareparation
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="6.6.2" data-path="../binaryclass/webspam_scw.html">
+
+ <a href="../binaryclass/webspam_scw.html">
+
+
+ <b>6.6.2.</b>
+
+ PA1, AROW, SCW
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+ <li class="chapter " data-level="6.7" data-path="../binaryclass/titanic_rf.html">
+
+ <a href="../binaryclass/titanic_rf.html">
+
+
+ <b>6.7.</b>
+
+ Kaggle Titanic tutorial
+
+ </a>
+
+
+
+ </li>
+
+
+
+
+ <li class="header">Part VII - Multiclass classification</li>
+
+
+
+ <li class="chapter " data-level="7.1" data-path="../multiclass/news20.html">
+
+ <a href="../multiclass/news20.html">
+
+
+ <b>7.1.</b>
+
+ News20 Multiclass tutorial
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="7.1.1" data-path="../multiclass/news20_dataset.html">
+
+ <a href="../multiclass/news20_dataset.html">
+
+
+ <b>7.1.1.</b>
+
+ Data preparation
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="7.1.2" data-path="../multiclass/news20_one-vs-the-rest_dataset.html">
+
+ <a href="../multiclass/news20_one-vs-the-rest_dataset.html">
+
+
+ <b>7.1.2.</b>
+
+ Data preparation for one-vs-the-rest classifiers
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="7.1.3" data-path="../multiclass/news20_pa.html">
+
+ <a href="../multiclass/news20_pa.html">
+
+
+ <b>7.1.3.</b>
+
+ PA
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="7.1.4" data-path="../multiclass/news20_scw.html">
+
+ <a href="../multiclass/news20_scw.html">
+
+
+ <b>7.1.4.</b>
+
+ CW, AROW, SCW
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="7.1.5" data-path="../multiclass/news20_ensemble.html">
+
+ <a href="../multiclass/news20_ensemble.html">
+
+
+ <b>7.1.5.</b>
+
+ Ensemble learning
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="7.1.6" data-path="../multiclass/news20_one-vs-the-rest.html">
+
+ <a href="../multiclass/news20_one-vs-the-rest.html">
+
+
+ <b>7.1.6.</b>
+
+ one-vs-the-rest classifier
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+ <li class="chapter " data-level="7.2" data-path="../multiclass/iris.html">
+
+ <a href="../multiclass/iris.html">
+
+
+ <b>7.2.</b>
+
+ Iris tutorial
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="7.2.1" data-path="../multiclass/iris_dataset.html">
+
+ <a href="../multiclass/iris_dataset.html">
+
+
+ <b>7.2.1.</b>
+
+ Data preparation
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="7.2.2" data-path="../multiclass/iris_scw.html">
+
+ <a href="../multiclass/iris_scw.html">
+
+
+ <b>7.2.2.</b>
+
+ SCW
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="7.2.3" data-path="../multiclass/iris_randomforest.html">
+
+ <a href="../multiclass/iris_randomforest.html">
+
+
+ <b>7.2.3.</b>
+
+ RandomForest
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+
+
+
+ <li class="header">Part VIII - Regression</li>
+
+
+
+ <li class="chapter " data-level="8.1" data-path="../regression/general.html">
+
+ <a href="../regression/general.html">
+
+
+ <b>8.1.</b>
+
+ Regression
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="8.2" data-path="../regression/e2006.html">
+
+ <a href="../regression/e2006.html">
+
+
+ <b>8.2.</b>
+
+ E2006-tfidf regression tutorial
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="8.2.1" data-path="../regression/e2006_dataset.html">
+
+ <a href="../regression/e2006_dataset.html">
+
+
+ <b>8.2.1.</b>
+
+ Data preparation
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="8.2.2" data-path="../regression/e2006_arow.html">
+
+ <a href="../regression/e2006_arow.html">
+
+
+ <b>8.2.2.</b>
+
+ Passive Aggressive, AROW
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+ <li class="chapter " data-level="8.3" data-path="../regression/kddcup12tr2.html">
+
+ <a href="../regression/kddcup12tr2.html">
+
+
+ <b>8.3.</b>
+
+ KDDCup 2012 track 2 CTR prediction tutorial
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="8.3.1" data-path="../regression/kddcup12tr2_dataset.html">
+
+ <a href="../regression/kddcup12tr2_dataset.html">
+
+
+ <b>8.3.1.</b>
+
+ Data preparation
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="8.3.2" data-path="../regression/kddcup12tr2_lr.html">
+
+ <a href="../regression/kddcup12tr2_lr.html">
+
+
+ <b>8.3.2.</b>
+
+ Logistic Regression, Passive Aggressive
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="8.3.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
+
+ <a href="../regression/kddcup12tr2_lr_amplify.html">
+
+
+ <b>8.3.3.</b>
+
+ Logistic Regression with Amplifier
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="8.3.4" data-path="../regression/kddcup12tr2_adagrad.html">
+
+ <a href="../regression/kddcup12tr2_adagrad.html">
+
+
+ <b>8.3.4.</b>
+
+ AdaGrad, AdaDelta
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+
+
+
+ <li class="header">Part IX - Recommendation</li>
+
+
+
+ <li class="chapter " data-level="9.1" data-path="../recommend/cf.html">
+
+ <a href="../recommend/cf.html">
+
+
+ <b>9.1.</b>
+
+ Collaborative Filtering
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="9.1.1" data-path="../recommend/item_based_cf.html">
+
+ <a href="../recommend/item_based_cf.html">
+
+
+ <b>9.1.1.</b>
+
+ Item-based Collaborative Filtering
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+ <li class="chapter " data-level="9.2" data-path="../recommend/news20.html">
+
+ <a href="../recommend/news20.html">
+
+
+ <b>9.2.</b>
+
+ News20 related article recommendation Tutorial
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="9.2.1" data-path="../multiclass/news20_dataset.html">
+
+ <a href="../multiclass/news20_dataset.html">
+
+
+ <b>9.2.1.</b>
+
+ Data preparation
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="9.2.2" data-path="../recommend/news20_jaccard.html">
+
+ <a href="../recommend/news20_jaccard.html">
+
+
+ <b>9.2.2.</b>
+
+ LSH/Minhash and Jaccard Similarity
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="9.2.3" data-path="../recommend/news20_knn.html">
+
+ <a href="../recommend/news20_knn.html">
+
+
+ <b>9.2.3.</b>
+
+ LSH/Minhash and Brute-Force Search
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="9.2.4" data-path="../recommend/news20_bbit_minhash.html">
+
+ <a href="../recommend/news20_bbit_minhash.html">
+
+
+ <b>9.2.4.</b>
+
+ kNN search using b-Bits Minhash
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+ <li class="chapter " data-level="9.3" data-path="../recommend/movielens.html">
+
+ <a href="../recommend/movielens.html">
+
+
+ <b>9.3.</b>
+
+ MovieLens movie recommendation Tutorial
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="9.3.1" data-path="../recommend/movielens_dataset.html">
+
+ <a href="../recommend/movielens_dataset.html">
+
+
+ <b>9.3.1.</b>
+
+ Data preparation
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="9.3.2" data-path="../recommend/movielens_cf.html">
+
+ <a href="../recommend/movielens_cf.html">
+
+
+ <b>9.3.2.</b>
+
+ Item-based Collaborative Filtering
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="9.3.3" data-path="../recommend/movielens_mf.html">
+
+ <a href="../recommend/movielens_mf.html">
+
+
+ <b>9.3.3.</b>
+
+ Matrix Factorization
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="9.3.4" data-path="../recommend/movielens_fm.html">
+
+ <a href="../recommend/movielens_fm.html">
+
+
+ <b>9.3.4.</b>
+
+ Factorization Machine
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="9.3.5" data-path="../recommend/movielens_cv.html">
+
+ <a href="../recommend/movielens_cv.html">
+
+
+ <b>9.3.5.</b>
+
+ 10-fold Cross Validation (Matrix Factorization)
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+
+
+
+ <li class="header">Part X - Anomaly Detection</li>
+
+
+
+ <li class="chapter " data-level="10.1" data-path="../anomaly/lof.html">
+
+ <a href="../anomaly/lof.html">
+
+
+ <b>10.1.</b>
+
+ Outlier Detection using Local Outlier Factor (LOF)
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="10.2" data-path="../anomaly/sst.html">
+
+ <a href="../anomaly/sst.html">
+
+
+ <b>10.2.</b>
+
+ Change-Point Detection using Singular Spectrum Transformation (SST)
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="10.3" data-path="../anomaly/changefinder.html">
+
+ <a href="../anomaly/changefinder.html">
+
+
+ <b>10.3.</b>
+
+ ChangeFinder: Detecting Outlier and Change-Point Simultaneously
+
+ </a>
+
+
+
+ </li>
+
+
+
+
+ <li class="header">Part XI - Clustering</li>
+
+
+
+ <li class="chapter " data-level="11.1" data-path="../clustering/lda.html">
+
+ <a href="../clustering/lda.html">
+
+
+ <b>11.1.</b>
+
+ Latent Dirichlet Allocation
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="11.2" data-path="../clustering/plsa.html">
+
+ <a href="../clustering/plsa.html">
+
+
+ <b>11.2.</b>
+
+ Probabilistic Latent Semantic Analysis
+
+ </a>
+
+
+
+ </li>
+
+
+
+
+ <li class="header">Part XII - GeoSpatial functions</li>
+
+
+
+ <li class="chapter " data-level="12.1" data-path="../geospatial/latlon.html">
+
+ <a href="../geospatial/latlon.html">
+
+
+ <b>12.1.</b>
+
+ Lat/Lon functions
+
+ </a>
+
+
+
+ </li>
+
+
+
+
+ <li class="header">Part XIII - Hivemall on Spark</li>
+
+
+
+ <li class="chapter " data-level="13.1" data-path="../spark/getting_started/">
+
+ <a href="../spark/getting_started/">
+
+
+ <b>13.1.</b>
+
+ Getting Started
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="13.1.1" data-path="../spark/getting_started/installation.html">
+
+ <a href="../spark/getting_started/installation.html">
+
+
+ <b>13.1.1.</b>
+
+ Installation
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+ <li class="chapter " data-level="13.2" data-path="../spark/binaryclass/">
+
+ <a href="../spark/binaryclass/">
+
+
+ <b>13.2.</b>
+
+ Binary Classification
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="13.2.1" data-path="../spark/binaryclass/a9a_df.html">
+
+ <a href="../spark/binaryclass/a9a_df.html">
+
+
+ <b>13.2.1.</b>
+
+ a9a Tutorial for DataFrame
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+ <li class="chapter " data-level="13.3" data-path="../spark/binaryclass/">
+
+ <a href="../spark/binaryclass/">
+
+
+ <b>13.3.</b>
+
+ Regression
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="13.3.1" data-path="../spark/regression/e2006_df.html">
+
+ <a href="../spark/regression/e2006_df.html">
+
+
+ <b>13.3.1.</b>
+
+ E2006-tfidf regression Tutorial for DataFrame
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+ <li class="chapter " data-level="13.4" data-path="../spark/misc/misc.html">
+
+ <a href="../spark/misc/misc.html">
+
+
+ <b>13.4.</b>
+
+ Generic features
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="13.4.1" data-path="../spark/misc/topk_join.html">
+
+ <a href="../spark/misc/topk_join.html">
+
+
+ <b>13.4.1.</b>
+
+ Top-k Join processing
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="13.4.2" data-path="../spark/misc/functions.html">
+
+ <a href="../spark/misc/functions.html">
+
+
+ <b>13.4.2.</b>
+
+ Other utility functions
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+
+
+
+ <li class="header">Part XIV - Hivemall on Docker</li>
+
+
+
+ <li class="chapter " data-level="14.1" data-path="../docker/getting_started.html">
+
+ <a href="../docker/getting_started.html">
+
+
+ <b>14.1.</b>
+
+ Getting Started
+
+ </a>
+
+
+
+ </li>
+
+
+
+
+ <li class="header">Part XIV - External References</li>
+
+
+
+ <li class="chapter " data-level="15.1" >
+
+ <a target="_blank" href="https://github.com/maropu/hivemall-spark">
+
+
+ <b>15.1.</b>
+
+ Hivemall on Apache Spark
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="15.2" >
+
+ <a target="_blank" href="https://github.com/daijyc/hivemall/wiki/PigHome">
+
+
+ <b>15.2.</b>
+
+ Hivemall on Apache Pig
+
+ </a>
+
+
+
+ </li>
+
+
+
+
+ <li class="divider"></li>
+
+ <li>
+ <a href="https://www.gitbook.com" target="blank" class="gitbook-link">
+ Published with GitBook
+ </a>
+ </li>
+</ul>
+
+
+ </nav>
+
+
+ </div>
+
+ <div class="book-body">
+
+ <div class="body-inner">
+
+
+
+<div class="book-header" role="navigation">
+
+
+ <!-- Title -->
+ <h1>
+ <i class="fa fa-circle-o-notch fa-spin"></i>
+ <a href=".." >FEATURE PAIRING</a>
+ </h1>
+</div>
+
+
+
+
+ <div class="page-wrapper" tabindex="-1" role="main">
+ <div class="page-inner">
+
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+
+ <section class="normal markdown-section">
+
+ <!--
+ Licensed to the Apache Software Foundation (ASF) under one
+ or more contributor license agreements. See the NOTICE file
+ distributed with this work for additional information
+ regarding copyright ownership. The ASF licenses this file
+ to you under the Apache License, Version 2.0 (the
+ "License"); you may not use this file except in compliance
+ with the License. You may obtain a copy of the License at
+
+ http://www.apache.org/licenses/LICENSE-2.0
+
+ Unless required by applicable law or agreed to in writing,
+ software distributed under the License is distributed on an
+ "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ KIND, either express or implied. See the License for the
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+ under the License.
+-->
+<p><div id="page-footer" class="localized-footer"><hr><!--
+ Licensed to the Apache Software Foundation (ASF) under one
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+ distributed with this work for additional information
+ regarding copyright ownership. The ASF licenses this file
+ to you under the Apache License, Version 2.0 (the
+ "License"); you may not use this file except in compliance
+ with the License. You may obtain a copy of the License at
+
+ http://www.apache.org/licenses/LICENSE-2.0
+
+ Unless required by applicable law or agreed to in writing,
+ software distributed under the License is distributed on an
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+ KIND, either express or implied. See the License for the
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+ under the License.
+-->
+<p><sub><font color="gray">
+Apache Hivemall is an effort undergoing incubation at The Apache Software Foundation (ASF), sponsored by the Apache Incubator.
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+
+
+ </section>
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+
+ <script src="../gitbook/gitbook.js"></script>
+ <script src="../gitbook/theme.js"></script>
+
+
+ <script src="../gitbook/gitbook-plugin-edit-link/plugin.js"></script>
+
+
+
+ <script src="../gitbook/gitbook-plugin-github/plugin.js"></script>
+
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+ <script src="../gitbook/gitbook-plugin-etoc/plugin.js"></script>
+
+
+
+ <script src="../gitbook/gitbook-plugin-toggle-chapters/toggle.js"></script>
+
+
+
+ <script src="https://cdnjs.cloudflare.com/ajax/libs/anchor-js/3.1.1/anchor.min.js"></script>
+
+
+
+ <script src="../gitbook/gitbook-plugin-anchorjs/anchor-style.js"></script>
+
+
+
+ <script src="../gitbook/gitbook-plugin-expandable-chapters/expandable-chapters.js"></script>
+
+
+
+ <script src="../gitbook/gitbook-plugin-search/search-engine.js"></script>
+
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+ <script src="../gitbook/gitbook-plugin-search/search.js"></script>
+
+
+
+ <script src="../gitbook/gitbook-plugin-lunr/lunr.min.js"></script>
+
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+ <script src="../gitbook/gitbook-plugin-lunr/search-lunr.js"></script>
+
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+
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+ <script src="../gitbook/gitbook-plugin-fontsettings/fontsettings.js"></script>
+
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+ <script src="../gitbook/gitbook-plugin-theme-api/theme-api.js"></script>
+
+
+
+ </body>
+</html>
+
[30/41] incubator-hivemall-site git commit: Added descriptions about
Feature Pairing in the user guide
Posted by my...@apache.org.
http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/ba518dab/userguide/eval/stat_eval.html
----------------------------------------------------------------------
diff --git a/userguide/eval/stat_eval.html b/userguide/eval/stat_eval.html
index b874829..7393a84 100644
--- a/userguide/eval/stat_eval.html
+++ b/userguide/eval/stat_eval.html
@@ -100,7 +100,7 @@
<link rel="next" href="auc.html" />
- <link rel="prev" href="../ft_engineering/quantify.html" />
+ <link rel="prev" href="../ft_engineering/tfidf.html" />
</head>
@@ -598,14 +598,30 @@
</li>
- <li class="chapter " data-level="3.5" data-path="../ft_engineering/tfidf.html">
+ <li class="chapter " data-level="3.5" data-path="../ft_engineering/pairing.html">
- <a href="../ft_engineering/tfidf.html">
+ <a href="../ft_engineering/pairing.html">
<b>3.5.</b>
- TF-IDF Calculation
+ FEATURE PAIRING
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="3.5.1" data-path="../ft_engineering/polynomial.html">
+
+ <a href="../ft_engineering/polynomial.html">
+
+
+ <b>3.5.1.</b>
+
+ Polynomial Features
</a>
@@ -613,6 +629,11 @@
</li>
+
+ </ul>
+
+ </li>
+
<li class="chapter " data-level="3.6" data-path="../ft_engineering/ft_trans.html">
<a href="../ft_engineering/ft_trans.html">
@@ -664,6 +685,21 @@
</li>
+ <li class="chapter " data-level="3.7" data-path="../ft_engineering/tfidf.html">
+
+ <a href="../ft_engineering/tfidf.html">
+
+
+ <b>3.7.</b>
+
+ TF-IDF Calculation
+
+ </a>
+
+
+
+ </li>
+
@@ -761,7 +797,7 @@
- <li class="header">Part V - Prediction</li>
+ <li class="header">Part V - Supervised Learning</li>
@@ -780,27 +816,19 @@
</li>
- <li class="chapter " data-level="5.2" data-path="../regression/general.html">
-
- <a href="../regression/general.html">
-
-
- <b>5.2.</b>
-
- Regression
-
- </a>
-
-
- </li>
- <li class="chapter " data-level="5.3" data-path="../binaryclass/general.html">
+
+ <li class="header">Part VI - Binary classification</li>
+
+
+
+ <li class="chapter " data-level="6.1" data-path="../binaryclass/general.html">
<a href="../binaryclass/general.html">
- <b>5.3.</b>
+ <b>6.1.</b>
Binary Classification
@@ -810,21 +838,14 @@
</li>
-
-
-
- <li class="header">Part VI - Binary classification tutorials</li>
-
-
-
- <li class="chapter " data-level="6.1" data-path="../binaryclass/a9a.html">
+ <li class="chapter " data-level="6.2" data-path="../binaryclass/a9a.html">
<a href="../binaryclass/a9a.html">
- <b>6.1.</b>
+ <b>6.2.</b>
- a9a
+ a9a tutorial
</a>
@@ -833,12 +854,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.1.1" data-path="../binaryclass/a9a_dataset.html">
+ <li class="chapter " data-level="6.2.1" data-path="../binaryclass/a9a_dataset.html">
<a href="../binaryclass/a9a_dataset.html">
- <b>6.1.1.</b>
+ <b>6.2.1.</b>
Data preparation
@@ -848,12 +869,12 @@
</li>
- <li class="chapter " data-level="6.1.2" data-path="../binaryclass/a9a_lr.html">
+ <li class="chapter " data-level="6.2.2" data-path="../binaryclass/a9a_lr.html">
<a href="../binaryclass/a9a_lr.html">
- <b>6.1.2.</b>
+ <b>6.2.2.</b>
Logistic Regression
@@ -863,12 +884,12 @@
</li>
- <li class="chapter " data-level="6.1.3" data-path="../binaryclass/a9a_minibatch.html">
+ <li class="chapter " data-level="6.2.3" data-path="../binaryclass/a9a_minibatch.html">
<a href="../binaryclass/a9a_minibatch.html">
- <b>6.1.3.</b>
+ <b>6.2.3.</b>
Mini-batch Gradient Descent
@@ -883,14 +904,14 @@
</li>
- <li class="chapter " data-level="6.2" data-path="../binaryclass/news20.html">
+ <li class="chapter " data-level="6.3" data-path="../binaryclass/news20.html">
<a href="../binaryclass/news20.html">
- <b>6.2.</b>
+ <b>6.3.</b>
- News20
+ News20 tutorial
</a>
@@ -899,12 +920,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.2.1" data-path="../binaryclass/news20_dataset.html">
+ <li class="chapter " data-level="6.3.1" data-path="../binaryclass/news20_dataset.html">
<a href="../binaryclass/news20_dataset.html">
- <b>6.2.1.</b>
+ <b>6.3.1.</b>
Data preparation
@@ -914,12 +935,12 @@
</li>
- <li class="chapter " data-level="6.2.2" data-path="../binaryclass/news20_pa.html">
+ <li class="chapter " data-level="6.3.2" data-path="../binaryclass/news20_pa.html">
<a href="../binaryclass/news20_pa.html">
- <b>6.2.2.</b>
+ <b>6.3.2.</b>
Perceptron, Passive Aggressive
@@ -929,12 +950,12 @@
</li>
- <li class="chapter " data-level="6.2.3" data-path="../binaryclass/news20_scw.html">
+ <li class="chapter " data-level="6.3.3" data-path="../binaryclass/news20_scw.html">
<a href="../binaryclass/news20_scw.html">
- <b>6.2.3.</b>
+ <b>6.3.3.</b>
CW, AROW, SCW
@@ -944,12 +965,12 @@
</li>
- <li class="chapter " data-level="6.2.4" data-path="../binaryclass/news20_adagrad.html">
+ <li class="chapter " data-level="6.3.4" data-path="../binaryclass/news20_adagrad.html">
<a href="../binaryclass/news20_adagrad.html">
- <b>6.2.4.</b>
+ <b>6.3.4.</b>
AdaGradRDA, AdaGrad, AdaDelta
@@ -964,14 +985,14 @@
</li>
- <li class="chapter " data-level="6.3" data-path="../binaryclass/kdd2010a.html">
+ <li class="chapter " data-level="6.4" data-path="../binaryclass/kdd2010a.html">
<a href="../binaryclass/kdd2010a.html">
- <b>6.3.</b>
+ <b>6.4.</b>
- KDD2010a
+ KDD2010a tutorial
</a>
@@ -980,12 +1001,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.3.1" data-path="../binaryclass/kdd2010a_dataset.html">
+ <li class="chapter " data-level="6.4.1" data-path="../binaryclass/kdd2010a_dataset.html">
<a href="../binaryclass/kdd2010a_dataset.html">
- <b>6.3.1.</b>
+ <b>6.4.1.</b>
Data preparation
@@ -995,12 +1016,12 @@
</li>
- <li class="chapter " data-level="6.3.2" data-path="../binaryclass/kdd2010a_scw.html">
+ <li class="chapter " data-level="6.4.2" data-path="../binaryclass/kdd2010a_scw.html">
<a href="../binaryclass/kdd2010a_scw.html">
- <b>6.3.2.</b>
+ <b>6.4.2.</b>
PA, CW, AROW, SCW
@@ -1015,14 +1036,14 @@
</li>
- <li class="chapter " data-level="6.4" data-path="../binaryclass/kdd2010b.html">
+ <li class="chapter " data-level="6.5" data-path="../binaryclass/kdd2010b.html">
<a href="../binaryclass/kdd2010b.html">
- <b>6.4.</b>
+ <b>6.5.</b>
- KDD2010b
+ KDD2010b tutorial
</a>
@@ -1031,12 +1052,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.4.1" data-path="../binaryclass/kdd2010b_dataset.html">
+ <li class="chapter " data-level="6.5.1" data-path="../binaryclass/kdd2010b_dataset.html">
<a href="../binaryclass/kdd2010b_dataset.html">
- <b>6.4.1.</b>
+ <b>6.5.1.</b>
Data preparation
@@ -1046,12 +1067,12 @@
</li>
- <li class="chapter " data-level="6.4.2" data-path="../binaryclass/kdd2010b_arow.html">
+ <li class="chapter " data-level="6.5.2" data-path="../binaryclass/kdd2010b_arow.html">
<a href="../binaryclass/kdd2010b_arow.html">
- <b>6.4.2.</b>
+ <b>6.5.2.</b>
AROW
@@ -1066,14 +1087,14 @@
</li>
- <li class="chapter " data-level="6.5" data-path="../binaryclass/webspam.html">
+ <li class="chapter " data-level="6.6" data-path="../binaryclass/webspam.html">
<a href="../binaryclass/webspam.html">
- <b>6.5.</b>
+ <b>6.6.</b>
- Webspam
+ Webspam tutorial
</a>
@@ -1082,12 +1103,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.5.1" data-path="../binaryclass/webspam_dataset.html">
+ <li class="chapter " data-level="6.6.1" data-path="../binaryclass/webspam_dataset.html">
<a href="../binaryclass/webspam_dataset.html">
- <b>6.5.1.</b>
+ <b>6.6.1.</b>
Data pareparation
@@ -1097,12 +1118,12 @@
</li>
- <li class="chapter " data-level="6.5.2" data-path="../binaryclass/webspam_scw.html">
+ <li class="chapter " data-level="6.6.2" data-path="../binaryclass/webspam_scw.html">
<a href="../binaryclass/webspam_scw.html">
- <b>6.5.2.</b>
+ <b>6.6.2.</b>
PA1, AROW, SCW
@@ -1117,14 +1138,14 @@
</li>
- <li class="chapter " data-level="6.6" data-path="../binaryclass/titanic_rf.html">
+ <li class="chapter " data-level="6.7" data-path="../binaryclass/titanic_rf.html">
<a href="../binaryclass/titanic_rf.html">
- <b>6.6.</b>
+ <b>6.7.</b>
- Kaggle Titanic
+ Kaggle Titanic tutorial
</a>
@@ -1135,7 +1156,7 @@
- <li class="header">Part VII - Multiclass classification tutorials</li>
+ <li class="header">Part VII - Multiclass classification</li>
@@ -1146,7 +1167,7 @@
<b>7.1.</b>
- News20 Multiclass
+ News20 Multiclass tutorial
</a>
@@ -1257,7 +1278,7 @@
<b>7.2.</b>
- Iris
+ Iris tutorial
</a>
@@ -1319,18 +1340,33 @@
- <li class="header">Part VIII - Regression tutorials</li>
+ <li class="header">Part VIII - Regression</li>
- <li class="chapter " data-level="8.1" data-path="../regression/e2006.html">
+ <li class="chapter " data-level="8.1" data-path="../regression/general.html">
- <a href="../regression/e2006.html">
+ <a href="../regression/general.html">
<b>8.1.</b>
- E2006-tfidf regression
+ Regression
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="8.2" data-path="../regression/e2006.html">
+
+ <a href="../regression/e2006.html">
+
+
+ <b>8.2.</b>
+
+ E2006-tfidf regression tutorial
</a>
@@ -1339,12 +1375,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.1.1" data-path="../regression/e2006_dataset.html">
+ <li class="chapter " data-level="8.2.1" data-path="../regression/e2006_dataset.html">
<a href="../regression/e2006_dataset.html">
- <b>8.1.1.</b>
+ <b>8.2.1.</b>
Data preparation
@@ -1354,12 +1390,12 @@
</li>
- <li class="chapter " data-level="8.1.2" data-path="../regression/e2006_arow.html">
+ <li class="chapter " data-level="8.2.2" data-path="../regression/e2006_arow.html">
<a href="../regression/e2006_arow.html">
- <b>8.1.2.</b>
+ <b>8.2.2.</b>
Passive Aggressive, AROW
@@ -1374,14 +1410,14 @@
</li>
- <li class="chapter " data-level="8.2" data-path="../regression/kddcup12tr2.html">
+ <li class="chapter " data-level="8.3" data-path="../regression/kddcup12tr2.html">
<a href="../regression/kddcup12tr2.html">
- <b>8.2.</b>
+ <b>8.3.</b>
- KDDCup 2012 track 2 CTR prediction
+ KDDCup 2012 track 2 CTR prediction tutorial
</a>
@@ -1390,12 +1426,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.2.1" data-path="../regression/kddcup12tr2_dataset.html">
+ <li class="chapter " data-level="8.3.1" data-path="../regression/kddcup12tr2_dataset.html">
<a href="../regression/kddcup12tr2_dataset.html">
- <b>8.2.1.</b>
+ <b>8.3.1.</b>
Data preparation
@@ -1405,12 +1441,12 @@
</li>
- <li class="chapter " data-level="8.2.2" data-path="../regression/kddcup12tr2_lr.html">
+ <li class="chapter " data-level="8.3.2" data-path="../regression/kddcup12tr2_lr.html">
<a href="../regression/kddcup12tr2_lr.html">
- <b>8.2.2.</b>
+ <b>8.3.2.</b>
Logistic Regression, Passive Aggressive
@@ -1420,12 +1456,12 @@
</li>
- <li class="chapter " data-level="8.2.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
+ <li class="chapter " data-level="8.3.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
<a href="../regression/kddcup12tr2_lr_amplify.html">
- <b>8.2.3.</b>
+ <b>8.3.3.</b>
Logistic Regression with Amplifier
@@ -1435,12 +1471,12 @@
</li>
- <li class="chapter " data-level="8.2.4" data-path="../regression/kddcup12tr2_adagrad.html">
+ <li class="chapter " data-level="8.3.4" data-path="../regression/kddcup12tr2_adagrad.html">
<a href="../regression/kddcup12tr2_adagrad.html">
- <b>8.2.4.</b>
+ <b>8.3.4.</b>
AdaGrad, AdaDelta
@@ -2191,7 +2227,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
<script>
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http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/ba518dab/userguide/ft_engineering/binning.html
----------------------------------------------------------------------
diff --git a/userguide/ft_engineering/binning.html b/userguide/ft_engineering/binning.html
index d5230cb..05060b7 100644
--- a/userguide/ft_engineering/binning.html
+++ b/userguide/ft_engineering/binning.html
@@ -97,7 +97,7 @@
<link rel="shortcut icon" href="../gitbook/images/favicon.ico" type="image/x-icon">
- <link rel="next" href="tfidf.html" />
+ <link rel="next" href="pairing.html" />
<link rel="prev" href="selection.html" />
@@ -598,14 +598,30 @@
</li>
- <li class="chapter " data-level="3.5" data-path="tfidf.html">
+ <li class="chapter " data-level="3.5" data-path="pairing.html">
- <a href="tfidf.html">
+ <a href="pairing.html">
<b>3.5.</b>
- TF-IDF Calculation
+ FEATURE PAIRING
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="3.5.1" data-path="polynomial.html">
+
+ <a href="polynomial.html">
+
+
+ <b>3.5.1.</b>
+
+ Polynomial Features
</a>
@@ -613,6 +629,11 @@
</li>
+
+ </ul>
+
+ </li>
+
<li class="chapter " data-level="3.6" data-path="ft_trans.html">
<a href="ft_trans.html">
@@ -664,6 +685,21 @@
</li>
+ <li class="chapter " data-level="3.7" data-path="tfidf.html">
+
+ <a href="tfidf.html">
+
+
+ <b>3.7.</b>
+
+ TF-IDF Calculation
+
+ </a>
+
+
+
+ </li>
+
@@ -761,7 +797,7 @@
- <li class="header">Part V - Prediction</li>
+ <li class="header">Part V - Supervised Learning</li>
@@ -780,27 +816,19 @@
</li>
- <li class="chapter " data-level="5.2" data-path="../regression/general.html">
-
- <a href="../regression/general.html">
-
-
- <b>5.2.</b>
-
- Regression
-
- </a>
-
-
- </li>
- <li class="chapter " data-level="5.3" data-path="../binaryclass/general.html">
+
+ <li class="header">Part VI - Binary classification</li>
+
+
+
+ <li class="chapter " data-level="6.1" data-path="../binaryclass/general.html">
<a href="../binaryclass/general.html">
- <b>5.3.</b>
+ <b>6.1.</b>
Binary Classification
@@ -810,21 +838,14 @@
</li>
-
-
-
- <li class="header">Part VI - Binary classification tutorials</li>
-
-
-
- <li class="chapter " data-level="6.1" data-path="../binaryclass/a9a.html">
+ <li class="chapter " data-level="6.2" data-path="../binaryclass/a9a.html">
<a href="../binaryclass/a9a.html">
- <b>6.1.</b>
+ <b>6.2.</b>
- a9a
+ a9a tutorial
</a>
@@ -833,12 +854,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.1.1" data-path="../binaryclass/a9a_dataset.html">
+ <li class="chapter " data-level="6.2.1" data-path="../binaryclass/a9a_dataset.html">
<a href="../binaryclass/a9a_dataset.html">
- <b>6.1.1.</b>
+ <b>6.2.1.</b>
Data preparation
@@ -848,12 +869,12 @@
</li>
- <li class="chapter " data-level="6.1.2" data-path="../binaryclass/a9a_lr.html">
+ <li class="chapter " data-level="6.2.2" data-path="../binaryclass/a9a_lr.html">
<a href="../binaryclass/a9a_lr.html">
- <b>6.1.2.</b>
+ <b>6.2.2.</b>
Logistic Regression
@@ -863,12 +884,12 @@
</li>
- <li class="chapter " data-level="6.1.3" data-path="../binaryclass/a9a_minibatch.html">
+ <li class="chapter " data-level="6.2.3" data-path="../binaryclass/a9a_minibatch.html">
<a href="../binaryclass/a9a_minibatch.html">
- <b>6.1.3.</b>
+ <b>6.2.3.</b>
Mini-batch Gradient Descent
@@ -883,14 +904,14 @@
</li>
- <li class="chapter " data-level="6.2" data-path="../binaryclass/news20.html">
+ <li class="chapter " data-level="6.3" data-path="../binaryclass/news20.html">
<a href="../binaryclass/news20.html">
- <b>6.2.</b>
+ <b>6.3.</b>
- News20
+ News20 tutorial
</a>
@@ -899,12 +920,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.2.1" data-path="../binaryclass/news20_dataset.html">
+ <li class="chapter " data-level="6.3.1" data-path="../binaryclass/news20_dataset.html">
<a href="../binaryclass/news20_dataset.html">
- <b>6.2.1.</b>
+ <b>6.3.1.</b>
Data preparation
@@ -914,12 +935,12 @@
</li>
- <li class="chapter " data-level="6.2.2" data-path="../binaryclass/news20_pa.html">
+ <li class="chapter " data-level="6.3.2" data-path="../binaryclass/news20_pa.html">
<a href="../binaryclass/news20_pa.html">
- <b>6.2.2.</b>
+ <b>6.3.2.</b>
Perceptron, Passive Aggressive
@@ -929,12 +950,12 @@
</li>
- <li class="chapter " data-level="6.2.3" data-path="../binaryclass/news20_scw.html">
+ <li class="chapter " data-level="6.3.3" data-path="../binaryclass/news20_scw.html">
<a href="../binaryclass/news20_scw.html">
- <b>6.2.3.</b>
+ <b>6.3.3.</b>
CW, AROW, SCW
@@ -944,12 +965,12 @@
</li>
- <li class="chapter " data-level="6.2.4" data-path="../binaryclass/news20_adagrad.html">
+ <li class="chapter " data-level="6.3.4" data-path="../binaryclass/news20_adagrad.html">
<a href="../binaryclass/news20_adagrad.html">
- <b>6.2.4.</b>
+ <b>6.3.4.</b>
AdaGradRDA, AdaGrad, AdaDelta
@@ -964,14 +985,14 @@
</li>
- <li class="chapter " data-level="6.3" data-path="../binaryclass/kdd2010a.html">
+ <li class="chapter " data-level="6.4" data-path="../binaryclass/kdd2010a.html">
<a href="../binaryclass/kdd2010a.html">
- <b>6.3.</b>
+ <b>6.4.</b>
- KDD2010a
+ KDD2010a tutorial
</a>
@@ -980,12 +1001,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.3.1" data-path="../binaryclass/kdd2010a_dataset.html">
+ <li class="chapter " data-level="6.4.1" data-path="../binaryclass/kdd2010a_dataset.html">
<a href="../binaryclass/kdd2010a_dataset.html">
- <b>6.3.1.</b>
+ <b>6.4.1.</b>
Data preparation
@@ -995,12 +1016,12 @@
</li>
- <li class="chapter " data-level="6.3.2" data-path="../binaryclass/kdd2010a_scw.html">
+ <li class="chapter " data-level="6.4.2" data-path="../binaryclass/kdd2010a_scw.html">
<a href="../binaryclass/kdd2010a_scw.html">
- <b>6.3.2.</b>
+ <b>6.4.2.</b>
PA, CW, AROW, SCW
@@ -1015,14 +1036,14 @@
</li>
- <li class="chapter " data-level="6.4" data-path="../binaryclass/kdd2010b.html">
+ <li class="chapter " data-level="6.5" data-path="../binaryclass/kdd2010b.html">
<a href="../binaryclass/kdd2010b.html">
- <b>6.4.</b>
+ <b>6.5.</b>
- KDD2010b
+ KDD2010b tutorial
</a>
@@ -1031,12 +1052,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.4.1" data-path="../binaryclass/kdd2010b_dataset.html">
+ <li class="chapter " data-level="6.5.1" data-path="../binaryclass/kdd2010b_dataset.html">
<a href="../binaryclass/kdd2010b_dataset.html">
- <b>6.4.1.</b>
+ <b>6.5.1.</b>
Data preparation
@@ -1046,12 +1067,12 @@
</li>
- <li class="chapter " data-level="6.4.2" data-path="../binaryclass/kdd2010b_arow.html">
+ <li class="chapter " data-level="6.5.2" data-path="../binaryclass/kdd2010b_arow.html">
<a href="../binaryclass/kdd2010b_arow.html">
- <b>6.4.2.</b>
+ <b>6.5.2.</b>
AROW
@@ -1066,14 +1087,14 @@
</li>
- <li class="chapter " data-level="6.5" data-path="../binaryclass/webspam.html">
+ <li class="chapter " data-level="6.6" data-path="../binaryclass/webspam.html">
<a href="../binaryclass/webspam.html">
- <b>6.5.</b>
+ <b>6.6.</b>
- Webspam
+ Webspam tutorial
</a>
@@ -1082,12 +1103,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.5.1" data-path="../binaryclass/webspam_dataset.html">
+ <li class="chapter " data-level="6.6.1" data-path="../binaryclass/webspam_dataset.html">
<a href="../binaryclass/webspam_dataset.html">
- <b>6.5.1.</b>
+ <b>6.6.1.</b>
Data pareparation
@@ -1097,12 +1118,12 @@
</li>
- <li class="chapter " data-level="6.5.2" data-path="../binaryclass/webspam_scw.html">
+ <li class="chapter " data-level="6.6.2" data-path="../binaryclass/webspam_scw.html">
<a href="../binaryclass/webspam_scw.html">
- <b>6.5.2.</b>
+ <b>6.6.2.</b>
PA1, AROW, SCW
@@ -1117,14 +1138,14 @@
</li>
- <li class="chapter " data-level="6.6" data-path="../binaryclass/titanic_rf.html">
+ <li class="chapter " data-level="6.7" data-path="../binaryclass/titanic_rf.html">
<a href="../binaryclass/titanic_rf.html">
- <b>6.6.</b>
+ <b>6.7.</b>
- Kaggle Titanic
+ Kaggle Titanic tutorial
</a>
@@ -1135,7 +1156,7 @@
- <li class="header">Part VII - Multiclass classification tutorials</li>
+ <li class="header">Part VII - Multiclass classification</li>
@@ -1146,7 +1167,7 @@
<b>7.1.</b>
- News20 Multiclass
+ News20 Multiclass tutorial
</a>
@@ -1257,7 +1278,7 @@
<b>7.2.</b>
- Iris
+ Iris tutorial
</a>
@@ -1319,18 +1340,33 @@
- <li class="header">Part VIII - Regression tutorials</li>
+ <li class="header">Part VIII - Regression</li>
- <li class="chapter " data-level="8.1" data-path="../regression/e2006.html">
+ <li class="chapter " data-level="8.1" data-path="../regression/general.html">
- <a href="../regression/e2006.html">
+ <a href="../regression/general.html">
<b>8.1.</b>
- E2006-tfidf regression
+ Regression
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="8.2" data-path="../regression/e2006.html">
+
+ <a href="../regression/e2006.html">
+
+
+ <b>8.2.</b>
+
+ E2006-tfidf regression tutorial
</a>
@@ -1339,12 +1375,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.1.1" data-path="../regression/e2006_dataset.html">
+ <li class="chapter " data-level="8.2.1" data-path="../regression/e2006_dataset.html">
<a href="../regression/e2006_dataset.html">
- <b>8.1.1.</b>
+ <b>8.2.1.</b>
Data preparation
@@ -1354,12 +1390,12 @@
</li>
- <li class="chapter " data-level="8.1.2" data-path="../regression/e2006_arow.html">
+ <li class="chapter " data-level="8.2.2" data-path="../regression/e2006_arow.html">
<a href="../regression/e2006_arow.html">
- <b>8.1.2.</b>
+ <b>8.2.2.</b>
Passive Aggressive, AROW
@@ -1374,14 +1410,14 @@
</li>
- <li class="chapter " data-level="8.2" data-path="../regression/kddcup12tr2.html">
+ <li class="chapter " data-level="8.3" data-path="../regression/kddcup12tr2.html">
<a href="../regression/kddcup12tr2.html">
- <b>8.2.</b>
+ <b>8.3.</b>
- KDDCup 2012 track 2 CTR prediction
+ KDDCup 2012 track 2 CTR prediction tutorial
</a>
@@ -1390,12 +1426,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.2.1" data-path="../regression/kddcup12tr2_dataset.html">
+ <li class="chapter " data-level="8.3.1" data-path="../regression/kddcup12tr2_dataset.html">
<a href="../regression/kddcup12tr2_dataset.html">
- <b>8.2.1.</b>
+ <b>8.3.1.</b>
Data preparation
@@ -1405,12 +1441,12 @@
</li>
- <li class="chapter " data-level="8.2.2" data-path="../regression/kddcup12tr2_lr.html">
+ <li class="chapter " data-level="8.3.2" data-path="../regression/kddcup12tr2_lr.html">
<a href="../regression/kddcup12tr2_lr.html">
- <b>8.2.2.</b>
+ <b>8.3.2.</b>
Logistic Regression, Passive Aggressive
@@ -1420,12 +1456,12 @@
</li>
- <li class="chapter " data-level="8.2.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
+ <li class="chapter " data-level="8.3.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
<a href="../regression/kddcup12tr2_lr_amplify.html">
- <b>8.2.3.</b>
+ <b>8.3.3.</b>
Logistic Regression with Amplifier
@@ -1435,12 +1471,12 @@
</li>
- <li class="chapter " data-level="8.2.4" data-path="../regression/kddcup12tr2_adagrad.html">
+ <li class="chapter " data-level="8.3.4" data-path="../regression/kddcup12tr2_adagrad.html">
<a href="../regression/kddcup12tr2_adagrad.html">
- <b>8.2.4.</b>
+ <b>8.3.4.</b>
AdaGrad, AdaDelta
@@ -2371,7 +2407,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
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----------------------------------------------------------------------
diff --git a/userguide/ft_engineering/ft_trans.html b/userguide/ft_engineering/ft_trans.html
index c95437d..2d17d1d 100644
--- a/userguide/ft_engineering/ft_trans.html
+++ b/userguide/ft_engineering/ft_trans.html
@@ -100,7 +100,7 @@
<link rel="next" href="vectorization.html" />
- <link rel="prev" href="tfidf.html" />
+ <link rel="prev" href="polynomial.html" />
</head>
@@ -598,14 +598,30 @@
</li>
- <li class="chapter " data-level="3.5" data-path="tfidf.html">
+ <li class="chapter " data-level="3.5" data-path="pairing.html">
- <a href="tfidf.html">
+ <a href="pairing.html">
<b>3.5.</b>
- TF-IDF Calculation
+ FEATURE PAIRING
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="3.5.1" data-path="polynomial.html">
+
+ <a href="polynomial.html">
+
+
+ <b>3.5.1.</b>
+
+ Polynomial Features
</a>
@@ -613,6 +629,11 @@
</li>
+
+ </ul>
+
+ </li>
+
<li class="chapter active" data-level="3.6" data-path="ft_trans.html">
<a href="ft_trans.html">
@@ -664,6 +685,21 @@
</li>
+ <li class="chapter " data-level="3.7" data-path="tfidf.html">
+
+ <a href="tfidf.html">
+
+
+ <b>3.7.</b>
+
+ TF-IDF Calculation
+
+ </a>
+
+
+
+ </li>
+
@@ -761,7 +797,7 @@
- <li class="header">Part V - Prediction</li>
+ <li class="header">Part V - Supervised Learning</li>
@@ -780,27 +816,19 @@
</li>
- <li class="chapter " data-level="5.2" data-path="../regression/general.html">
-
- <a href="../regression/general.html">
-
-
- <b>5.2.</b>
-
- Regression
-
- </a>
-
-
- </li>
- <li class="chapter " data-level="5.3" data-path="../binaryclass/general.html">
+
+ <li class="header">Part VI - Binary classification</li>
+
+
+
+ <li class="chapter " data-level="6.1" data-path="../binaryclass/general.html">
<a href="../binaryclass/general.html">
- <b>5.3.</b>
+ <b>6.1.</b>
Binary Classification
@@ -810,21 +838,14 @@
</li>
-
-
-
- <li class="header">Part VI - Binary classification tutorials</li>
-
-
-
- <li class="chapter " data-level="6.1" data-path="../binaryclass/a9a.html">
+ <li class="chapter " data-level="6.2" data-path="../binaryclass/a9a.html">
<a href="../binaryclass/a9a.html">
- <b>6.1.</b>
+ <b>6.2.</b>
- a9a
+ a9a tutorial
</a>
@@ -833,12 +854,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.1.1" data-path="../binaryclass/a9a_dataset.html">
+ <li class="chapter " data-level="6.2.1" data-path="../binaryclass/a9a_dataset.html">
<a href="../binaryclass/a9a_dataset.html">
- <b>6.1.1.</b>
+ <b>6.2.1.</b>
Data preparation
@@ -848,12 +869,12 @@
</li>
- <li class="chapter " data-level="6.1.2" data-path="../binaryclass/a9a_lr.html">
+ <li class="chapter " data-level="6.2.2" data-path="../binaryclass/a9a_lr.html">
<a href="../binaryclass/a9a_lr.html">
- <b>6.1.2.</b>
+ <b>6.2.2.</b>
Logistic Regression
@@ -863,12 +884,12 @@
</li>
- <li class="chapter " data-level="6.1.3" data-path="../binaryclass/a9a_minibatch.html">
+ <li class="chapter " data-level="6.2.3" data-path="../binaryclass/a9a_minibatch.html">
<a href="../binaryclass/a9a_minibatch.html">
- <b>6.1.3.</b>
+ <b>6.2.3.</b>
Mini-batch Gradient Descent
@@ -883,14 +904,14 @@
</li>
- <li class="chapter " data-level="6.2" data-path="../binaryclass/news20.html">
+ <li class="chapter " data-level="6.3" data-path="../binaryclass/news20.html">
<a href="../binaryclass/news20.html">
- <b>6.2.</b>
+ <b>6.3.</b>
- News20
+ News20 tutorial
</a>
@@ -899,12 +920,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.2.1" data-path="../binaryclass/news20_dataset.html">
+ <li class="chapter " data-level="6.3.1" data-path="../binaryclass/news20_dataset.html">
<a href="../binaryclass/news20_dataset.html">
- <b>6.2.1.</b>
+ <b>6.3.1.</b>
Data preparation
@@ -914,12 +935,12 @@
</li>
- <li class="chapter " data-level="6.2.2" data-path="../binaryclass/news20_pa.html">
+ <li class="chapter " data-level="6.3.2" data-path="../binaryclass/news20_pa.html">
<a href="../binaryclass/news20_pa.html">
- <b>6.2.2.</b>
+ <b>6.3.2.</b>
Perceptron, Passive Aggressive
@@ -929,12 +950,12 @@
</li>
- <li class="chapter " data-level="6.2.3" data-path="../binaryclass/news20_scw.html">
+ <li class="chapter " data-level="6.3.3" data-path="../binaryclass/news20_scw.html">
<a href="../binaryclass/news20_scw.html">
- <b>6.2.3.</b>
+ <b>6.3.3.</b>
CW, AROW, SCW
@@ -944,12 +965,12 @@
</li>
- <li class="chapter " data-level="6.2.4" data-path="../binaryclass/news20_adagrad.html">
+ <li class="chapter " data-level="6.3.4" data-path="../binaryclass/news20_adagrad.html">
<a href="../binaryclass/news20_adagrad.html">
- <b>6.2.4.</b>
+ <b>6.3.4.</b>
AdaGradRDA, AdaGrad, AdaDelta
@@ -964,14 +985,14 @@
</li>
- <li class="chapter " data-level="6.3" data-path="../binaryclass/kdd2010a.html">
+ <li class="chapter " data-level="6.4" data-path="../binaryclass/kdd2010a.html">
<a href="../binaryclass/kdd2010a.html">
- <b>6.3.</b>
+ <b>6.4.</b>
- KDD2010a
+ KDD2010a tutorial
</a>
@@ -980,12 +1001,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.3.1" data-path="../binaryclass/kdd2010a_dataset.html">
+ <li class="chapter " data-level="6.4.1" data-path="../binaryclass/kdd2010a_dataset.html">
<a href="../binaryclass/kdd2010a_dataset.html">
- <b>6.3.1.</b>
+ <b>6.4.1.</b>
Data preparation
@@ -995,12 +1016,12 @@
</li>
- <li class="chapter " data-level="6.3.2" data-path="../binaryclass/kdd2010a_scw.html">
+ <li class="chapter " data-level="6.4.2" data-path="../binaryclass/kdd2010a_scw.html">
<a href="../binaryclass/kdd2010a_scw.html">
- <b>6.3.2.</b>
+ <b>6.4.2.</b>
PA, CW, AROW, SCW
@@ -1015,14 +1036,14 @@
</li>
- <li class="chapter " data-level="6.4" data-path="../binaryclass/kdd2010b.html">
+ <li class="chapter " data-level="6.5" data-path="../binaryclass/kdd2010b.html">
<a href="../binaryclass/kdd2010b.html">
- <b>6.4.</b>
+ <b>6.5.</b>
- KDD2010b
+ KDD2010b tutorial
</a>
@@ -1031,12 +1052,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.4.1" data-path="../binaryclass/kdd2010b_dataset.html">
+ <li class="chapter " data-level="6.5.1" data-path="../binaryclass/kdd2010b_dataset.html">
<a href="../binaryclass/kdd2010b_dataset.html">
- <b>6.4.1.</b>
+ <b>6.5.1.</b>
Data preparation
@@ -1046,12 +1067,12 @@
</li>
- <li class="chapter " data-level="6.4.2" data-path="../binaryclass/kdd2010b_arow.html">
+ <li class="chapter " data-level="6.5.2" data-path="../binaryclass/kdd2010b_arow.html">
<a href="../binaryclass/kdd2010b_arow.html">
- <b>6.4.2.</b>
+ <b>6.5.2.</b>
AROW
@@ -1066,14 +1087,14 @@
</li>
- <li class="chapter " data-level="6.5" data-path="../binaryclass/webspam.html">
+ <li class="chapter " data-level="6.6" data-path="../binaryclass/webspam.html">
<a href="../binaryclass/webspam.html">
- <b>6.5.</b>
+ <b>6.6.</b>
- Webspam
+ Webspam tutorial
</a>
@@ -1082,12 +1103,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.5.1" data-path="../binaryclass/webspam_dataset.html">
+ <li class="chapter " data-level="6.6.1" data-path="../binaryclass/webspam_dataset.html">
<a href="../binaryclass/webspam_dataset.html">
- <b>6.5.1.</b>
+ <b>6.6.1.</b>
Data pareparation
@@ -1097,12 +1118,12 @@
</li>
- <li class="chapter " data-level="6.5.2" data-path="../binaryclass/webspam_scw.html">
+ <li class="chapter " data-level="6.6.2" data-path="../binaryclass/webspam_scw.html">
<a href="../binaryclass/webspam_scw.html">
- <b>6.5.2.</b>
+ <b>6.6.2.</b>
PA1, AROW, SCW
@@ -1117,14 +1138,14 @@
</li>
- <li class="chapter " data-level="6.6" data-path="../binaryclass/titanic_rf.html">
+ <li class="chapter " data-level="6.7" data-path="../binaryclass/titanic_rf.html">
<a href="../binaryclass/titanic_rf.html">
- <b>6.6.</b>
+ <b>6.7.</b>
- Kaggle Titanic
+ Kaggle Titanic tutorial
</a>
@@ -1135,7 +1156,7 @@
- <li class="header">Part VII - Multiclass classification tutorials</li>
+ <li class="header">Part VII - Multiclass classification</li>
@@ -1146,7 +1167,7 @@
<b>7.1.</b>
- News20 Multiclass
+ News20 Multiclass tutorial
</a>
@@ -1257,7 +1278,7 @@
<b>7.2.</b>
- Iris
+ Iris tutorial
</a>
@@ -1319,18 +1340,33 @@
- <li class="header">Part VIII - Regression tutorials</li>
+ <li class="header">Part VIII - Regression</li>
- <li class="chapter " data-level="8.1" data-path="../regression/e2006.html">
+ <li class="chapter " data-level="8.1" data-path="../regression/general.html">
- <a href="../regression/e2006.html">
+ <a href="../regression/general.html">
<b>8.1.</b>
- E2006-tfidf regression
+ Regression
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="8.2" data-path="../regression/e2006.html">
+
+ <a href="../regression/e2006.html">
+
+
+ <b>8.2.</b>
+
+ E2006-tfidf regression tutorial
</a>
@@ -1339,12 +1375,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.1.1" data-path="../regression/e2006_dataset.html">
+ <li class="chapter " data-level="8.2.1" data-path="../regression/e2006_dataset.html">
<a href="../regression/e2006_dataset.html">
- <b>8.1.1.</b>
+ <b>8.2.1.</b>
Data preparation
@@ -1354,12 +1390,12 @@
</li>
- <li class="chapter " data-level="8.1.2" data-path="../regression/e2006_arow.html">
+ <li class="chapter " data-level="8.2.2" data-path="../regression/e2006_arow.html">
<a href="../regression/e2006_arow.html">
- <b>8.1.2.</b>
+ <b>8.2.2.</b>
Passive Aggressive, AROW
@@ -1374,14 +1410,14 @@
</li>
- <li class="chapter " data-level="8.2" data-path="../regression/kddcup12tr2.html">
+ <li class="chapter " data-level="8.3" data-path="../regression/kddcup12tr2.html">
<a href="../regression/kddcup12tr2.html">
- <b>8.2.</b>
+ <b>8.3.</b>
- KDDCup 2012 track 2 CTR prediction
+ KDDCup 2012 track 2 CTR prediction tutorial
</a>
@@ -1390,12 +1426,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.2.1" data-path="../regression/kddcup12tr2_dataset.html">
+ <li class="chapter " data-level="8.3.1" data-path="../regression/kddcup12tr2_dataset.html">
<a href="../regression/kddcup12tr2_dataset.html">
- <b>8.2.1.</b>
+ <b>8.3.1.</b>
Data preparation
@@ -1405,12 +1441,12 @@
</li>
- <li class="chapter " data-level="8.2.2" data-path="../regression/kddcup12tr2_lr.html">
+ <li class="chapter " data-level="8.3.2" data-path="../regression/kddcup12tr2_lr.html">
<a href="../regression/kddcup12tr2_lr.html">
- <b>8.2.2.</b>
+ <b>8.3.2.</b>
Logistic Regression, Passive Aggressive
@@ -1420,12 +1456,12 @@
</li>
- <li class="chapter " data-level="8.2.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
+ <li class="chapter " data-level="8.3.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
<a href="../regression/kddcup12tr2_lr_amplify.html">
- <b>8.2.3.</b>
+ <b>8.3.3.</b>
Logistic Regression with Amplifier
@@ -1435,12 +1471,12 @@
</li>
- <li class="chapter " data-level="8.2.4" data-path="../regression/kddcup12tr2_adagrad.html">
+ <li class="chapter " data-level="8.3.4" data-path="../regression/kddcup12tr2_adagrad.html">
<a href="../regression/kddcup12tr2_adagrad.html">
- <b>8.2.4.</b>
+ <b>8.3.4.</b>
AdaGrad, AdaDelta
@@ -2129,7 +2165,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
<script>
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[24/41] incubator-hivemall-site git commit: Added descriptions about
Feature Pairing in the user guide
Posted by my...@apache.org.
http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/ba518dab/userguide/getting_started/input-format.html
----------------------------------------------------------------------
diff --git a/userguide/getting_started/input-format.html b/userguide/getting_started/input-format.html
index 32e105d..46ee139 100644
--- a/userguide/getting_started/input-format.html
+++ b/userguide/getting_started/input-format.html
@@ -598,14 +598,30 @@
</li>
- <li class="chapter " data-level="3.5" data-path="../ft_engineering/tfidf.html">
+ <li class="chapter " data-level="3.5" data-path="../ft_engineering/pairing.html">
- <a href="../ft_engineering/tfidf.html">
+ <a href="../ft_engineering/pairing.html">
<b>3.5.</b>
- TF-IDF Calculation
+ FEATURE PAIRING
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="3.5.1" data-path="../ft_engineering/polynomial.html">
+
+ <a href="../ft_engineering/polynomial.html">
+
+
+ <b>3.5.1.</b>
+
+ Polynomial Features
</a>
@@ -613,6 +629,11 @@
</li>
+
+ </ul>
+
+ </li>
+
<li class="chapter " data-level="3.6" data-path="../ft_engineering/ft_trans.html">
<a href="../ft_engineering/ft_trans.html">
@@ -664,6 +685,21 @@
</li>
+ <li class="chapter " data-level="3.7" data-path="../ft_engineering/tfidf.html">
+
+ <a href="../ft_engineering/tfidf.html">
+
+
+ <b>3.7.</b>
+
+ TF-IDF Calculation
+
+ </a>
+
+
+
+ </li>
+
@@ -761,7 +797,7 @@
- <li class="header">Part V - Prediction</li>
+ <li class="header">Part V - Supervised Learning</li>
@@ -780,27 +816,19 @@
</li>
- <li class="chapter " data-level="5.2" data-path="../regression/general.html">
-
- <a href="../regression/general.html">
-
-
- <b>5.2.</b>
-
- Regression
-
- </a>
-
-
- </li>
- <li class="chapter " data-level="5.3" data-path="../binaryclass/general.html">
+
+ <li class="header">Part VI - Binary classification</li>
+
+
+
+ <li class="chapter " data-level="6.1" data-path="../binaryclass/general.html">
<a href="../binaryclass/general.html">
- <b>5.3.</b>
+ <b>6.1.</b>
Binary Classification
@@ -810,21 +838,14 @@
</li>
-
-
-
- <li class="header">Part VI - Binary classification tutorials</li>
-
-
-
- <li class="chapter " data-level="6.1" data-path="../binaryclass/a9a.html">
+ <li class="chapter " data-level="6.2" data-path="../binaryclass/a9a.html">
<a href="../binaryclass/a9a.html">
- <b>6.1.</b>
+ <b>6.2.</b>
- a9a
+ a9a tutorial
</a>
@@ -833,12 +854,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.1.1" data-path="../binaryclass/a9a_dataset.html">
+ <li class="chapter " data-level="6.2.1" data-path="../binaryclass/a9a_dataset.html">
<a href="../binaryclass/a9a_dataset.html">
- <b>6.1.1.</b>
+ <b>6.2.1.</b>
Data preparation
@@ -848,12 +869,12 @@
</li>
- <li class="chapter " data-level="6.1.2" data-path="../binaryclass/a9a_lr.html">
+ <li class="chapter " data-level="6.2.2" data-path="../binaryclass/a9a_lr.html">
<a href="../binaryclass/a9a_lr.html">
- <b>6.1.2.</b>
+ <b>6.2.2.</b>
Logistic Regression
@@ -863,12 +884,12 @@
</li>
- <li class="chapter " data-level="6.1.3" data-path="../binaryclass/a9a_minibatch.html">
+ <li class="chapter " data-level="6.2.3" data-path="../binaryclass/a9a_minibatch.html">
<a href="../binaryclass/a9a_minibatch.html">
- <b>6.1.3.</b>
+ <b>6.2.3.</b>
Mini-batch Gradient Descent
@@ -883,14 +904,14 @@
</li>
- <li class="chapter " data-level="6.2" data-path="../binaryclass/news20.html">
+ <li class="chapter " data-level="6.3" data-path="../binaryclass/news20.html">
<a href="../binaryclass/news20.html">
- <b>6.2.</b>
+ <b>6.3.</b>
- News20
+ News20 tutorial
</a>
@@ -899,12 +920,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.2.1" data-path="../binaryclass/news20_dataset.html">
+ <li class="chapter " data-level="6.3.1" data-path="../binaryclass/news20_dataset.html">
<a href="../binaryclass/news20_dataset.html">
- <b>6.2.1.</b>
+ <b>6.3.1.</b>
Data preparation
@@ -914,12 +935,12 @@
</li>
- <li class="chapter " data-level="6.2.2" data-path="../binaryclass/news20_pa.html">
+ <li class="chapter " data-level="6.3.2" data-path="../binaryclass/news20_pa.html">
<a href="../binaryclass/news20_pa.html">
- <b>6.2.2.</b>
+ <b>6.3.2.</b>
Perceptron, Passive Aggressive
@@ -929,12 +950,12 @@
</li>
- <li class="chapter " data-level="6.2.3" data-path="../binaryclass/news20_scw.html">
+ <li class="chapter " data-level="6.3.3" data-path="../binaryclass/news20_scw.html">
<a href="../binaryclass/news20_scw.html">
- <b>6.2.3.</b>
+ <b>6.3.3.</b>
CW, AROW, SCW
@@ -944,12 +965,12 @@
</li>
- <li class="chapter " data-level="6.2.4" data-path="../binaryclass/news20_adagrad.html">
+ <li class="chapter " data-level="6.3.4" data-path="../binaryclass/news20_adagrad.html">
<a href="../binaryclass/news20_adagrad.html">
- <b>6.2.4.</b>
+ <b>6.3.4.</b>
AdaGradRDA, AdaGrad, AdaDelta
@@ -964,14 +985,14 @@
</li>
- <li class="chapter " data-level="6.3" data-path="../binaryclass/kdd2010a.html">
+ <li class="chapter " data-level="6.4" data-path="../binaryclass/kdd2010a.html">
<a href="../binaryclass/kdd2010a.html">
- <b>6.3.</b>
+ <b>6.4.</b>
- KDD2010a
+ KDD2010a tutorial
</a>
@@ -980,12 +1001,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.3.1" data-path="../binaryclass/kdd2010a_dataset.html">
+ <li class="chapter " data-level="6.4.1" data-path="../binaryclass/kdd2010a_dataset.html">
<a href="../binaryclass/kdd2010a_dataset.html">
- <b>6.3.1.</b>
+ <b>6.4.1.</b>
Data preparation
@@ -995,12 +1016,12 @@
</li>
- <li class="chapter " data-level="6.3.2" data-path="../binaryclass/kdd2010a_scw.html">
+ <li class="chapter " data-level="6.4.2" data-path="../binaryclass/kdd2010a_scw.html">
<a href="../binaryclass/kdd2010a_scw.html">
- <b>6.3.2.</b>
+ <b>6.4.2.</b>
PA, CW, AROW, SCW
@@ -1015,14 +1036,14 @@
</li>
- <li class="chapter " data-level="6.4" data-path="../binaryclass/kdd2010b.html">
+ <li class="chapter " data-level="6.5" data-path="../binaryclass/kdd2010b.html">
<a href="../binaryclass/kdd2010b.html">
- <b>6.4.</b>
+ <b>6.5.</b>
- KDD2010b
+ KDD2010b tutorial
</a>
@@ -1031,12 +1052,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.4.1" data-path="../binaryclass/kdd2010b_dataset.html">
+ <li class="chapter " data-level="6.5.1" data-path="../binaryclass/kdd2010b_dataset.html">
<a href="../binaryclass/kdd2010b_dataset.html">
- <b>6.4.1.</b>
+ <b>6.5.1.</b>
Data preparation
@@ -1046,12 +1067,12 @@
</li>
- <li class="chapter " data-level="6.4.2" data-path="../binaryclass/kdd2010b_arow.html">
+ <li class="chapter " data-level="6.5.2" data-path="../binaryclass/kdd2010b_arow.html">
<a href="../binaryclass/kdd2010b_arow.html">
- <b>6.4.2.</b>
+ <b>6.5.2.</b>
AROW
@@ -1066,14 +1087,14 @@
</li>
- <li class="chapter " data-level="6.5" data-path="../binaryclass/webspam.html">
+ <li class="chapter " data-level="6.6" data-path="../binaryclass/webspam.html">
<a href="../binaryclass/webspam.html">
- <b>6.5.</b>
+ <b>6.6.</b>
- Webspam
+ Webspam tutorial
</a>
@@ -1082,12 +1103,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.5.1" data-path="../binaryclass/webspam_dataset.html">
+ <li class="chapter " data-level="6.6.1" data-path="../binaryclass/webspam_dataset.html">
<a href="../binaryclass/webspam_dataset.html">
- <b>6.5.1.</b>
+ <b>6.6.1.</b>
Data pareparation
@@ -1097,12 +1118,12 @@
</li>
- <li class="chapter " data-level="6.5.2" data-path="../binaryclass/webspam_scw.html">
+ <li class="chapter " data-level="6.6.2" data-path="../binaryclass/webspam_scw.html">
<a href="../binaryclass/webspam_scw.html">
- <b>6.5.2.</b>
+ <b>6.6.2.</b>
PA1, AROW, SCW
@@ -1117,14 +1138,14 @@
</li>
- <li class="chapter " data-level="6.6" data-path="../binaryclass/titanic_rf.html">
+ <li class="chapter " data-level="6.7" data-path="../binaryclass/titanic_rf.html">
<a href="../binaryclass/titanic_rf.html">
- <b>6.6.</b>
+ <b>6.7.</b>
- Kaggle Titanic
+ Kaggle Titanic tutorial
</a>
@@ -1135,7 +1156,7 @@
- <li class="header">Part VII - Multiclass classification tutorials</li>
+ <li class="header">Part VII - Multiclass classification</li>
@@ -1146,7 +1167,7 @@
<b>7.1.</b>
- News20 Multiclass
+ News20 Multiclass tutorial
</a>
@@ -1257,7 +1278,7 @@
<b>7.2.</b>
- Iris
+ Iris tutorial
</a>
@@ -1319,18 +1340,33 @@
- <li class="header">Part VIII - Regression tutorials</li>
+ <li class="header">Part VIII - Regression</li>
- <li class="chapter " data-level="8.1" data-path="../regression/e2006.html">
+ <li class="chapter " data-level="8.1" data-path="../regression/general.html">
- <a href="../regression/e2006.html">
+ <a href="../regression/general.html">
<b>8.1.</b>
- E2006-tfidf regression
+ Regression
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="8.2" data-path="../regression/e2006.html">
+
+ <a href="../regression/e2006.html">
+
+
+ <b>8.2.</b>
+
+ E2006-tfidf regression tutorial
</a>
@@ -1339,12 +1375,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.1.1" data-path="../regression/e2006_dataset.html">
+ <li class="chapter " data-level="8.2.1" data-path="../regression/e2006_dataset.html">
<a href="../regression/e2006_dataset.html">
- <b>8.1.1.</b>
+ <b>8.2.1.</b>
Data preparation
@@ -1354,12 +1390,12 @@
</li>
- <li class="chapter " data-level="8.1.2" data-path="../regression/e2006_arow.html">
+ <li class="chapter " data-level="8.2.2" data-path="../regression/e2006_arow.html">
<a href="../regression/e2006_arow.html">
- <b>8.1.2.</b>
+ <b>8.2.2.</b>
Passive Aggressive, AROW
@@ -1374,14 +1410,14 @@
</li>
- <li class="chapter " data-level="8.2" data-path="../regression/kddcup12tr2.html">
+ <li class="chapter " data-level="8.3" data-path="../regression/kddcup12tr2.html">
<a href="../regression/kddcup12tr2.html">
- <b>8.2.</b>
+ <b>8.3.</b>
- KDDCup 2012 track 2 CTR prediction
+ KDDCup 2012 track 2 CTR prediction tutorial
</a>
@@ -1390,12 +1426,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.2.1" data-path="../regression/kddcup12tr2_dataset.html">
+ <li class="chapter " data-level="8.3.1" data-path="../regression/kddcup12tr2_dataset.html">
<a href="../regression/kddcup12tr2_dataset.html">
- <b>8.2.1.</b>
+ <b>8.3.1.</b>
Data preparation
@@ -1405,12 +1441,12 @@
</li>
- <li class="chapter " data-level="8.2.2" data-path="../regression/kddcup12tr2_lr.html">
+ <li class="chapter " data-level="8.3.2" data-path="../regression/kddcup12tr2_lr.html">
<a href="../regression/kddcup12tr2_lr.html">
- <b>8.2.2.</b>
+ <b>8.3.2.</b>
Logistic Regression, Passive Aggressive
@@ -1420,12 +1456,12 @@
</li>
- <li class="chapter " data-level="8.2.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
+ <li class="chapter " data-level="8.3.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
<a href="../regression/kddcup12tr2_lr_amplify.html">
- <b>8.2.3.</b>
+ <b>8.3.3.</b>
Logistic Regression with Amplifier
@@ -1435,12 +1471,12 @@
</li>
- <li class="chapter " data-level="8.2.4" data-path="../regression/kddcup12tr2_adagrad.html">
+ <li class="chapter " data-level="8.3.4" data-path="../regression/kddcup12tr2_adagrad.html">
<a href="../regression/kddcup12tr2_adagrad.html">
- <b>8.2.4.</b>
+ <b>8.3.4.</b>
AdaGrad, AdaDelta
@@ -2295,7 +2331,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
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http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/ba518dab/userguide/getting_started/installation.html
----------------------------------------------------------------------
diff --git a/userguide/getting_started/installation.html b/userguide/getting_started/installation.html
index 380e9cc..50f17cd 100644
--- a/userguide/getting_started/installation.html
+++ b/userguide/getting_started/installation.html
@@ -598,14 +598,30 @@
</li>
- <li class="chapter " data-level="3.5" data-path="../ft_engineering/tfidf.html">
+ <li class="chapter " data-level="3.5" data-path="../ft_engineering/pairing.html">
- <a href="../ft_engineering/tfidf.html">
+ <a href="../ft_engineering/pairing.html">
<b>3.5.</b>
- TF-IDF Calculation
+ FEATURE PAIRING
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="3.5.1" data-path="../ft_engineering/polynomial.html">
+
+ <a href="../ft_engineering/polynomial.html">
+
+
+ <b>3.5.1.</b>
+
+ Polynomial Features
</a>
@@ -613,6 +629,11 @@
</li>
+
+ </ul>
+
+ </li>
+
<li class="chapter " data-level="3.6" data-path="../ft_engineering/ft_trans.html">
<a href="../ft_engineering/ft_trans.html">
@@ -664,6 +685,21 @@
</li>
+ <li class="chapter " data-level="3.7" data-path="../ft_engineering/tfidf.html">
+
+ <a href="../ft_engineering/tfidf.html">
+
+
+ <b>3.7.</b>
+
+ TF-IDF Calculation
+
+ </a>
+
+
+
+ </li>
+
@@ -761,7 +797,7 @@
- <li class="header">Part V - Prediction</li>
+ <li class="header">Part V - Supervised Learning</li>
@@ -780,27 +816,19 @@
</li>
- <li class="chapter " data-level="5.2" data-path="../regression/general.html">
-
- <a href="../regression/general.html">
-
-
- <b>5.2.</b>
-
- Regression
-
- </a>
-
-
- </li>
- <li class="chapter " data-level="5.3" data-path="../binaryclass/general.html">
+
+ <li class="header">Part VI - Binary classification</li>
+
+
+
+ <li class="chapter " data-level="6.1" data-path="../binaryclass/general.html">
<a href="../binaryclass/general.html">
- <b>5.3.</b>
+ <b>6.1.</b>
Binary Classification
@@ -810,21 +838,14 @@
</li>
-
-
-
- <li class="header">Part VI - Binary classification tutorials</li>
-
-
-
- <li class="chapter " data-level="6.1" data-path="../binaryclass/a9a.html">
+ <li class="chapter " data-level="6.2" data-path="../binaryclass/a9a.html">
<a href="../binaryclass/a9a.html">
- <b>6.1.</b>
+ <b>6.2.</b>
- a9a
+ a9a tutorial
</a>
@@ -833,12 +854,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.1.1" data-path="../binaryclass/a9a_dataset.html">
+ <li class="chapter " data-level="6.2.1" data-path="../binaryclass/a9a_dataset.html">
<a href="../binaryclass/a9a_dataset.html">
- <b>6.1.1.</b>
+ <b>6.2.1.</b>
Data preparation
@@ -848,12 +869,12 @@
</li>
- <li class="chapter " data-level="6.1.2" data-path="../binaryclass/a9a_lr.html">
+ <li class="chapter " data-level="6.2.2" data-path="../binaryclass/a9a_lr.html">
<a href="../binaryclass/a9a_lr.html">
- <b>6.1.2.</b>
+ <b>6.2.2.</b>
Logistic Regression
@@ -863,12 +884,12 @@
</li>
- <li class="chapter " data-level="6.1.3" data-path="../binaryclass/a9a_minibatch.html">
+ <li class="chapter " data-level="6.2.3" data-path="../binaryclass/a9a_minibatch.html">
<a href="../binaryclass/a9a_minibatch.html">
- <b>6.1.3.</b>
+ <b>6.2.3.</b>
Mini-batch Gradient Descent
@@ -883,14 +904,14 @@
</li>
- <li class="chapter " data-level="6.2" data-path="../binaryclass/news20.html">
+ <li class="chapter " data-level="6.3" data-path="../binaryclass/news20.html">
<a href="../binaryclass/news20.html">
- <b>6.2.</b>
+ <b>6.3.</b>
- News20
+ News20 tutorial
</a>
@@ -899,12 +920,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.2.1" data-path="../binaryclass/news20_dataset.html">
+ <li class="chapter " data-level="6.3.1" data-path="../binaryclass/news20_dataset.html">
<a href="../binaryclass/news20_dataset.html">
- <b>6.2.1.</b>
+ <b>6.3.1.</b>
Data preparation
@@ -914,12 +935,12 @@
</li>
- <li class="chapter " data-level="6.2.2" data-path="../binaryclass/news20_pa.html">
+ <li class="chapter " data-level="6.3.2" data-path="../binaryclass/news20_pa.html">
<a href="../binaryclass/news20_pa.html">
- <b>6.2.2.</b>
+ <b>6.3.2.</b>
Perceptron, Passive Aggressive
@@ -929,12 +950,12 @@
</li>
- <li class="chapter " data-level="6.2.3" data-path="../binaryclass/news20_scw.html">
+ <li class="chapter " data-level="6.3.3" data-path="../binaryclass/news20_scw.html">
<a href="../binaryclass/news20_scw.html">
- <b>6.2.3.</b>
+ <b>6.3.3.</b>
CW, AROW, SCW
@@ -944,12 +965,12 @@
</li>
- <li class="chapter " data-level="6.2.4" data-path="../binaryclass/news20_adagrad.html">
+ <li class="chapter " data-level="6.3.4" data-path="../binaryclass/news20_adagrad.html">
<a href="../binaryclass/news20_adagrad.html">
- <b>6.2.4.</b>
+ <b>6.3.4.</b>
AdaGradRDA, AdaGrad, AdaDelta
@@ -964,14 +985,14 @@
</li>
- <li class="chapter " data-level="6.3" data-path="../binaryclass/kdd2010a.html">
+ <li class="chapter " data-level="6.4" data-path="../binaryclass/kdd2010a.html">
<a href="../binaryclass/kdd2010a.html">
- <b>6.3.</b>
+ <b>6.4.</b>
- KDD2010a
+ KDD2010a tutorial
</a>
@@ -980,12 +1001,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.3.1" data-path="../binaryclass/kdd2010a_dataset.html">
+ <li class="chapter " data-level="6.4.1" data-path="../binaryclass/kdd2010a_dataset.html">
<a href="../binaryclass/kdd2010a_dataset.html">
- <b>6.3.1.</b>
+ <b>6.4.1.</b>
Data preparation
@@ -995,12 +1016,12 @@
</li>
- <li class="chapter " data-level="6.3.2" data-path="../binaryclass/kdd2010a_scw.html">
+ <li class="chapter " data-level="6.4.2" data-path="../binaryclass/kdd2010a_scw.html">
<a href="../binaryclass/kdd2010a_scw.html">
- <b>6.3.2.</b>
+ <b>6.4.2.</b>
PA, CW, AROW, SCW
@@ -1015,14 +1036,14 @@
</li>
- <li class="chapter " data-level="6.4" data-path="../binaryclass/kdd2010b.html">
+ <li class="chapter " data-level="6.5" data-path="../binaryclass/kdd2010b.html">
<a href="../binaryclass/kdd2010b.html">
- <b>6.4.</b>
+ <b>6.5.</b>
- KDD2010b
+ KDD2010b tutorial
</a>
@@ -1031,12 +1052,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.4.1" data-path="../binaryclass/kdd2010b_dataset.html">
+ <li class="chapter " data-level="6.5.1" data-path="../binaryclass/kdd2010b_dataset.html">
<a href="../binaryclass/kdd2010b_dataset.html">
- <b>6.4.1.</b>
+ <b>6.5.1.</b>
Data preparation
@@ -1046,12 +1067,12 @@
</li>
- <li class="chapter " data-level="6.4.2" data-path="../binaryclass/kdd2010b_arow.html">
+ <li class="chapter " data-level="6.5.2" data-path="../binaryclass/kdd2010b_arow.html">
<a href="../binaryclass/kdd2010b_arow.html">
- <b>6.4.2.</b>
+ <b>6.5.2.</b>
AROW
@@ -1066,14 +1087,14 @@
</li>
- <li class="chapter " data-level="6.5" data-path="../binaryclass/webspam.html">
+ <li class="chapter " data-level="6.6" data-path="../binaryclass/webspam.html">
<a href="../binaryclass/webspam.html">
- <b>6.5.</b>
+ <b>6.6.</b>
- Webspam
+ Webspam tutorial
</a>
@@ -1082,12 +1103,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.5.1" data-path="../binaryclass/webspam_dataset.html">
+ <li class="chapter " data-level="6.6.1" data-path="../binaryclass/webspam_dataset.html">
<a href="../binaryclass/webspam_dataset.html">
- <b>6.5.1.</b>
+ <b>6.6.1.</b>
Data pareparation
@@ -1097,12 +1118,12 @@
</li>
- <li class="chapter " data-level="6.5.2" data-path="../binaryclass/webspam_scw.html">
+ <li class="chapter " data-level="6.6.2" data-path="../binaryclass/webspam_scw.html">
<a href="../binaryclass/webspam_scw.html">
- <b>6.5.2.</b>
+ <b>6.6.2.</b>
PA1, AROW, SCW
@@ -1117,14 +1138,14 @@
</li>
- <li class="chapter " data-level="6.6" data-path="../binaryclass/titanic_rf.html">
+ <li class="chapter " data-level="6.7" data-path="../binaryclass/titanic_rf.html">
<a href="../binaryclass/titanic_rf.html">
- <b>6.6.</b>
+ <b>6.7.</b>
- Kaggle Titanic
+ Kaggle Titanic tutorial
</a>
@@ -1135,7 +1156,7 @@
- <li class="header">Part VII - Multiclass classification tutorials</li>
+ <li class="header">Part VII - Multiclass classification</li>
@@ -1146,7 +1167,7 @@
<b>7.1.</b>
- News20 Multiclass
+ News20 Multiclass tutorial
</a>
@@ -1257,7 +1278,7 @@
<b>7.2.</b>
- Iris
+ Iris tutorial
</a>
@@ -1319,18 +1340,33 @@
- <li class="header">Part VIII - Regression tutorials</li>
+ <li class="header">Part VIII - Regression</li>
- <li class="chapter " data-level="8.1" data-path="../regression/e2006.html">
+ <li class="chapter " data-level="8.1" data-path="../regression/general.html">
- <a href="../regression/e2006.html">
+ <a href="../regression/general.html">
<b>8.1.</b>
- E2006-tfidf regression
+ Regression
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="8.2" data-path="../regression/e2006.html">
+
+ <a href="../regression/e2006.html">
+
+
+ <b>8.2.</b>
+
+ E2006-tfidf regression tutorial
</a>
@@ -1339,12 +1375,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.1.1" data-path="../regression/e2006_dataset.html">
+ <li class="chapter " data-level="8.2.1" data-path="../regression/e2006_dataset.html">
<a href="../regression/e2006_dataset.html">
- <b>8.1.1.</b>
+ <b>8.2.1.</b>
Data preparation
@@ -1354,12 +1390,12 @@
</li>
- <li class="chapter " data-level="8.1.2" data-path="../regression/e2006_arow.html">
+ <li class="chapter " data-level="8.2.2" data-path="../regression/e2006_arow.html">
<a href="../regression/e2006_arow.html">
- <b>8.1.2.</b>
+ <b>8.2.2.</b>
Passive Aggressive, AROW
@@ -1374,14 +1410,14 @@
</li>
- <li class="chapter " data-level="8.2" data-path="../regression/kddcup12tr2.html">
+ <li class="chapter " data-level="8.3" data-path="../regression/kddcup12tr2.html">
<a href="../regression/kddcup12tr2.html">
- <b>8.2.</b>
+ <b>8.3.</b>
- KDDCup 2012 track 2 CTR prediction
+ KDDCup 2012 track 2 CTR prediction tutorial
</a>
@@ -1390,12 +1426,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.2.1" data-path="../regression/kddcup12tr2_dataset.html">
+ <li class="chapter " data-level="8.3.1" data-path="../regression/kddcup12tr2_dataset.html">
<a href="../regression/kddcup12tr2_dataset.html">
- <b>8.2.1.</b>
+ <b>8.3.1.</b>
Data preparation
@@ -1405,12 +1441,12 @@
</li>
- <li class="chapter " data-level="8.2.2" data-path="../regression/kddcup12tr2_lr.html">
+ <li class="chapter " data-level="8.3.2" data-path="../regression/kddcup12tr2_lr.html">
<a href="../regression/kddcup12tr2_lr.html">
- <b>8.2.2.</b>
+ <b>8.3.2.</b>
Logistic Regression, Passive Aggressive
@@ -1420,12 +1456,12 @@
</li>
- <li class="chapter " data-level="8.2.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
+ <li class="chapter " data-level="8.3.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
<a href="../regression/kddcup12tr2_lr_amplify.html">
- <b>8.2.3.</b>
+ <b>8.3.3.</b>
Logistic Regression with Amplifier
@@ -1435,12 +1471,12 @@
</li>
- <li class="chapter " data-level="8.2.4" data-path="../regression/kddcup12tr2_adagrad.html">
+ <li class="chapter " data-level="8.3.4" data-path="../regression/kddcup12tr2_adagrad.html">
<a href="../regression/kddcup12tr2_adagrad.html">
- <b>8.2.4.</b>
+ <b>8.3.4.</b>
AdaGrad, AdaDelta
@@ -2158,7 +2194,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
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----------------------------------------------------------------------
diff --git a/userguide/getting_started/permanent-functions.html b/userguide/getting_started/permanent-functions.html
index d1dcaa2..e3d76c0 100644
--- a/userguide/getting_started/permanent-functions.html
+++ b/userguide/getting_started/permanent-functions.html
@@ -598,14 +598,30 @@
</li>
- <li class="chapter " data-level="3.5" data-path="../ft_engineering/tfidf.html">
+ <li class="chapter " data-level="3.5" data-path="../ft_engineering/pairing.html">
- <a href="../ft_engineering/tfidf.html">
+ <a href="../ft_engineering/pairing.html">
<b>3.5.</b>
- TF-IDF Calculation
+ FEATURE PAIRING
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="3.5.1" data-path="../ft_engineering/polynomial.html">
+
+ <a href="../ft_engineering/polynomial.html">
+
+
+ <b>3.5.1.</b>
+
+ Polynomial Features
</a>
@@ -613,6 +629,11 @@
</li>
+
+ </ul>
+
+ </li>
+
<li class="chapter " data-level="3.6" data-path="../ft_engineering/ft_trans.html">
<a href="../ft_engineering/ft_trans.html">
@@ -664,6 +685,21 @@
</li>
+ <li class="chapter " data-level="3.7" data-path="../ft_engineering/tfidf.html">
+
+ <a href="../ft_engineering/tfidf.html">
+
+
+ <b>3.7.</b>
+
+ TF-IDF Calculation
+
+ </a>
+
+
+
+ </li>
+
@@ -761,7 +797,7 @@
- <li class="header">Part V - Prediction</li>
+ <li class="header">Part V - Supervised Learning</li>
@@ -780,27 +816,19 @@
</li>
- <li class="chapter " data-level="5.2" data-path="../regression/general.html">
-
- <a href="../regression/general.html">
-
-
- <b>5.2.</b>
-
- Regression
-
- </a>
-
-
- </li>
- <li class="chapter " data-level="5.3" data-path="../binaryclass/general.html">
+
+ <li class="header">Part VI - Binary classification</li>
+
+
+
+ <li class="chapter " data-level="6.1" data-path="../binaryclass/general.html">
<a href="../binaryclass/general.html">
- <b>5.3.</b>
+ <b>6.1.</b>
Binary Classification
@@ -810,21 +838,14 @@
</li>
-
-
-
- <li class="header">Part VI - Binary classification tutorials</li>
-
-
-
- <li class="chapter " data-level="6.1" data-path="../binaryclass/a9a.html">
+ <li class="chapter " data-level="6.2" data-path="../binaryclass/a9a.html">
<a href="../binaryclass/a9a.html">
- <b>6.1.</b>
+ <b>6.2.</b>
- a9a
+ a9a tutorial
</a>
@@ -833,12 +854,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.1.1" data-path="../binaryclass/a9a_dataset.html">
+ <li class="chapter " data-level="6.2.1" data-path="../binaryclass/a9a_dataset.html">
<a href="../binaryclass/a9a_dataset.html">
- <b>6.1.1.</b>
+ <b>6.2.1.</b>
Data preparation
@@ -848,12 +869,12 @@
</li>
- <li class="chapter " data-level="6.1.2" data-path="../binaryclass/a9a_lr.html">
+ <li class="chapter " data-level="6.2.2" data-path="../binaryclass/a9a_lr.html">
<a href="../binaryclass/a9a_lr.html">
- <b>6.1.2.</b>
+ <b>6.2.2.</b>
Logistic Regression
@@ -863,12 +884,12 @@
</li>
- <li class="chapter " data-level="6.1.3" data-path="../binaryclass/a9a_minibatch.html">
+ <li class="chapter " data-level="6.2.3" data-path="../binaryclass/a9a_minibatch.html">
<a href="../binaryclass/a9a_minibatch.html">
- <b>6.1.3.</b>
+ <b>6.2.3.</b>
Mini-batch Gradient Descent
@@ -883,14 +904,14 @@
</li>
- <li class="chapter " data-level="6.2" data-path="../binaryclass/news20.html">
+ <li class="chapter " data-level="6.3" data-path="../binaryclass/news20.html">
<a href="../binaryclass/news20.html">
- <b>6.2.</b>
+ <b>6.3.</b>
- News20
+ News20 tutorial
</a>
@@ -899,12 +920,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.2.1" data-path="../binaryclass/news20_dataset.html">
+ <li class="chapter " data-level="6.3.1" data-path="../binaryclass/news20_dataset.html">
<a href="../binaryclass/news20_dataset.html">
- <b>6.2.1.</b>
+ <b>6.3.1.</b>
Data preparation
@@ -914,12 +935,12 @@
</li>
- <li class="chapter " data-level="6.2.2" data-path="../binaryclass/news20_pa.html">
+ <li class="chapter " data-level="6.3.2" data-path="../binaryclass/news20_pa.html">
<a href="../binaryclass/news20_pa.html">
- <b>6.2.2.</b>
+ <b>6.3.2.</b>
Perceptron, Passive Aggressive
@@ -929,12 +950,12 @@
</li>
- <li class="chapter " data-level="6.2.3" data-path="../binaryclass/news20_scw.html">
+ <li class="chapter " data-level="6.3.3" data-path="../binaryclass/news20_scw.html">
<a href="../binaryclass/news20_scw.html">
- <b>6.2.3.</b>
+ <b>6.3.3.</b>
CW, AROW, SCW
@@ -944,12 +965,12 @@
</li>
- <li class="chapter " data-level="6.2.4" data-path="../binaryclass/news20_adagrad.html">
+ <li class="chapter " data-level="6.3.4" data-path="../binaryclass/news20_adagrad.html">
<a href="../binaryclass/news20_adagrad.html">
- <b>6.2.4.</b>
+ <b>6.3.4.</b>
AdaGradRDA, AdaGrad, AdaDelta
@@ -964,14 +985,14 @@
</li>
- <li class="chapter " data-level="6.3" data-path="../binaryclass/kdd2010a.html">
+ <li class="chapter " data-level="6.4" data-path="../binaryclass/kdd2010a.html">
<a href="../binaryclass/kdd2010a.html">
- <b>6.3.</b>
+ <b>6.4.</b>
- KDD2010a
+ KDD2010a tutorial
</a>
@@ -980,12 +1001,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.3.1" data-path="../binaryclass/kdd2010a_dataset.html">
+ <li class="chapter " data-level="6.4.1" data-path="../binaryclass/kdd2010a_dataset.html">
<a href="../binaryclass/kdd2010a_dataset.html">
- <b>6.3.1.</b>
+ <b>6.4.1.</b>
Data preparation
@@ -995,12 +1016,12 @@
</li>
- <li class="chapter " data-level="6.3.2" data-path="../binaryclass/kdd2010a_scw.html">
+ <li class="chapter " data-level="6.4.2" data-path="../binaryclass/kdd2010a_scw.html">
<a href="../binaryclass/kdd2010a_scw.html">
- <b>6.3.2.</b>
+ <b>6.4.2.</b>
PA, CW, AROW, SCW
@@ -1015,14 +1036,14 @@
</li>
- <li class="chapter " data-level="6.4" data-path="../binaryclass/kdd2010b.html">
+ <li class="chapter " data-level="6.5" data-path="../binaryclass/kdd2010b.html">
<a href="../binaryclass/kdd2010b.html">
- <b>6.4.</b>
+ <b>6.5.</b>
- KDD2010b
+ KDD2010b tutorial
</a>
@@ -1031,12 +1052,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.4.1" data-path="../binaryclass/kdd2010b_dataset.html">
+ <li class="chapter " data-level="6.5.1" data-path="../binaryclass/kdd2010b_dataset.html">
<a href="../binaryclass/kdd2010b_dataset.html">
- <b>6.4.1.</b>
+ <b>6.5.1.</b>
Data preparation
@@ -1046,12 +1067,12 @@
</li>
- <li class="chapter " data-level="6.4.2" data-path="../binaryclass/kdd2010b_arow.html">
+ <li class="chapter " data-level="6.5.2" data-path="../binaryclass/kdd2010b_arow.html">
<a href="../binaryclass/kdd2010b_arow.html">
- <b>6.4.2.</b>
+ <b>6.5.2.</b>
AROW
@@ -1066,14 +1087,14 @@
</li>
- <li class="chapter " data-level="6.5" data-path="../binaryclass/webspam.html">
+ <li class="chapter " data-level="6.6" data-path="../binaryclass/webspam.html">
<a href="../binaryclass/webspam.html">
- <b>6.5.</b>
+ <b>6.6.</b>
- Webspam
+ Webspam tutorial
</a>
@@ -1082,12 +1103,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.5.1" data-path="../binaryclass/webspam_dataset.html">
+ <li class="chapter " data-level="6.6.1" data-path="../binaryclass/webspam_dataset.html">
<a href="../binaryclass/webspam_dataset.html">
- <b>6.5.1.</b>
+ <b>6.6.1.</b>
Data pareparation
@@ -1097,12 +1118,12 @@
</li>
- <li class="chapter " data-level="6.5.2" data-path="../binaryclass/webspam_scw.html">
+ <li class="chapter " data-level="6.6.2" data-path="../binaryclass/webspam_scw.html">
<a href="../binaryclass/webspam_scw.html">
- <b>6.5.2.</b>
+ <b>6.6.2.</b>
PA1, AROW, SCW
@@ -1117,14 +1138,14 @@
</li>
- <li class="chapter " data-level="6.6" data-path="../binaryclass/titanic_rf.html">
+ <li class="chapter " data-level="6.7" data-path="../binaryclass/titanic_rf.html">
<a href="../binaryclass/titanic_rf.html">
- <b>6.6.</b>
+ <b>6.7.</b>
- Kaggle Titanic
+ Kaggle Titanic tutorial
</a>
@@ -1135,7 +1156,7 @@
- <li class="header">Part VII - Multiclass classification tutorials</li>
+ <li class="header">Part VII - Multiclass classification</li>
@@ -1146,7 +1167,7 @@
<b>7.1.</b>
- News20 Multiclass
+ News20 Multiclass tutorial
</a>
@@ -1257,7 +1278,7 @@
<b>7.2.</b>
- Iris
+ Iris tutorial
</a>
@@ -1319,18 +1340,33 @@
- <li class="header">Part VIII - Regression tutorials</li>
+ <li class="header">Part VIII - Regression</li>
- <li class="chapter " data-level="8.1" data-path="../regression/e2006.html">
+ <li class="chapter " data-level="8.1" data-path="../regression/general.html">
- <a href="../regression/e2006.html">
+ <a href="../regression/general.html">
<b>8.1.</b>
- E2006-tfidf regression
+ Regression
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="8.2" data-path="../regression/e2006.html">
+
+ <a href="../regression/e2006.html">
+
+
+ <b>8.2.</b>
+
+ E2006-tfidf regression tutorial
</a>
@@ -1339,12 +1375,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.1.1" data-path="../regression/e2006_dataset.html">
+ <li class="chapter " data-level="8.2.1" data-path="../regression/e2006_dataset.html">
<a href="../regression/e2006_dataset.html">
- <b>8.1.1.</b>
+ <b>8.2.1.</b>
Data preparation
@@ -1354,12 +1390,12 @@
</li>
- <li class="chapter " data-level="8.1.2" data-path="../regression/e2006_arow.html">
+ <li class="chapter " data-level="8.2.2" data-path="../regression/e2006_arow.html">
<a href="../regression/e2006_arow.html">
- <b>8.1.2.</b>
+ <b>8.2.2.</b>
Passive Aggressive, AROW
@@ -1374,14 +1410,14 @@
</li>
- <li class="chapter " data-level="8.2" data-path="../regression/kddcup12tr2.html">
+ <li class="chapter " data-level="8.3" data-path="../regression/kddcup12tr2.html">
<a href="../regression/kddcup12tr2.html">
- <b>8.2.</b>
+ <b>8.3.</b>
- KDDCup 2012 track 2 CTR prediction
+ KDDCup 2012 track 2 CTR prediction tutorial
</a>
@@ -1390,12 +1426,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.2.1" data-path="../regression/kddcup12tr2_dataset.html">
+ <li class="chapter " data-level="8.3.1" data-path="../regression/kddcup12tr2_dataset.html">
<a href="../regression/kddcup12tr2_dataset.html">
- <b>8.2.1.</b>
+ <b>8.3.1.</b>
Data preparation
@@ -1405,12 +1441,12 @@
</li>
- <li class="chapter " data-level="8.2.2" data-path="../regression/kddcup12tr2_lr.html">
+ <li class="chapter " data-level="8.3.2" data-path="../regression/kddcup12tr2_lr.html">
<a href="../regression/kddcup12tr2_lr.html">
- <b>8.2.2.</b>
+ <b>8.3.2.</b>
Logistic Regression, Passive Aggressive
@@ -1420,12 +1456,12 @@
</li>
- <li class="chapter " data-level="8.2.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
+ <li class="chapter " data-level="8.3.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
<a href="../regression/kddcup12tr2_lr_amplify.html">
- <b>8.2.3.</b>
+ <b>8.3.3.</b>
Logistic Regression with Amplifier
@@ -1435,12 +1471,12 @@
</li>
- <li class="chapter " data-level="8.2.4" data-path="../regression/kddcup12tr2_adagrad.html">
+ <li class="chapter " data-level="8.3.4" data-path="../regression/kddcup12tr2_adagrad.html">
<a href="../regression/kddcup12tr2_adagrad.html">
- <b>8.2.4.</b>
+ <b>8.3.4.</b>
AdaGrad, AdaDelta
@@ -2162,7 +2198,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
<script>
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[18/41] incubator-hivemall-site git commit: Added descriptions about
Feature Pairing in the user guide
Posted by my...@apache.org.
http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/ba518dab/userguide/multiclass/news20_one-vs-the-rest_dataset.html
----------------------------------------------------------------------
diff --git a/userguide/multiclass/news20_one-vs-the-rest_dataset.html b/userguide/multiclass/news20_one-vs-the-rest_dataset.html
index fa8e833..90cb0bc 100644
--- a/userguide/multiclass/news20_one-vs-the-rest_dataset.html
+++ b/userguide/multiclass/news20_one-vs-the-rest_dataset.html
@@ -598,14 +598,30 @@
</li>
- <li class="chapter " data-level="3.5" data-path="../ft_engineering/tfidf.html">
+ <li class="chapter " data-level="3.5" data-path="../ft_engineering/pairing.html">
- <a href="../ft_engineering/tfidf.html">
+ <a href="../ft_engineering/pairing.html">
<b>3.5.</b>
- TF-IDF Calculation
+ FEATURE PAIRING
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="3.5.1" data-path="../ft_engineering/polynomial.html">
+
+ <a href="../ft_engineering/polynomial.html">
+
+
+ <b>3.5.1.</b>
+
+ Polynomial Features
</a>
@@ -613,6 +629,11 @@
</li>
+
+ </ul>
+
+ </li>
+
<li class="chapter " data-level="3.6" data-path="../ft_engineering/ft_trans.html">
<a href="../ft_engineering/ft_trans.html">
@@ -664,6 +685,21 @@
</li>
+ <li class="chapter " data-level="3.7" data-path="../ft_engineering/tfidf.html">
+
+ <a href="../ft_engineering/tfidf.html">
+
+
+ <b>3.7.</b>
+
+ TF-IDF Calculation
+
+ </a>
+
+
+
+ </li>
+
@@ -761,7 +797,7 @@
- <li class="header">Part V - Prediction</li>
+ <li class="header">Part V - Supervised Learning</li>
@@ -780,27 +816,19 @@
</li>
- <li class="chapter " data-level="5.2" data-path="../regression/general.html">
-
- <a href="../regression/general.html">
-
-
- <b>5.2.</b>
-
- Regression
-
- </a>
-
-
- </li>
- <li class="chapter " data-level="5.3" data-path="../binaryclass/general.html">
+
+ <li class="header">Part VI - Binary classification</li>
+
+
+
+ <li class="chapter " data-level="6.1" data-path="../binaryclass/general.html">
<a href="../binaryclass/general.html">
- <b>5.3.</b>
+ <b>6.1.</b>
Binary Classification
@@ -810,21 +838,14 @@
</li>
-
-
-
- <li class="header">Part VI - Binary classification tutorials</li>
-
-
-
- <li class="chapter " data-level="6.1" data-path="../binaryclass/a9a.html">
+ <li class="chapter " data-level="6.2" data-path="../binaryclass/a9a.html">
<a href="../binaryclass/a9a.html">
- <b>6.1.</b>
+ <b>6.2.</b>
- a9a
+ a9a tutorial
</a>
@@ -833,12 +854,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.1.1" data-path="../binaryclass/a9a_dataset.html">
+ <li class="chapter " data-level="6.2.1" data-path="../binaryclass/a9a_dataset.html">
<a href="../binaryclass/a9a_dataset.html">
- <b>6.1.1.</b>
+ <b>6.2.1.</b>
Data preparation
@@ -848,12 +869,12 @@
</li>
- <li class="chapter " data-level="6.1.2" data-path="../binaryclass/a9a_lr.html">
+ <li class="chapter " data-level="6.2.2" data-path="../binaryclass/a9a_lr.html">
<a href="../binaryclass/a9a_lr.html">
- <b>6.1.2.</b>
+ <b>6.2.2.</b>
Logistic Regression
@@ -863,12 +884,12 @@
</li>
- <li class="chapter " data-level="6.1.3" data-path="../binaryclass/a9a_minibatch.html">
+ <li class="chapter " data-level="6.2.3" data-path="../binaryclass/a9a_minibatch.html">
<a href="../binaryclass/a9a_minibatch.html">
- <b>6.1.3.</b>
+ <b>6.2.3.</b>
Mini-batch Gradient Descent
@@ -883,14 +904,14 @@
</li>
- <li class="chapter " data-level="6.2" data-path="../binaryclass/news20.html">
+ <li class="chapter " data-level="6.3" data-path="../binaryclass/news20.html">
<a href="../binaryclass/news20.html">
- <b>6.2.</b>
+ <b>6.3.</b>
- News20
+ News20 tutorial
</a>
@@ -899,12 +920,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.2.1" data-path="../binaryclass/news20_dataset.html">
+ <li class="chapter " data-level="6.3.1" data-path="../binaryclass/news20_dataset.html">
<a href="../binaryclass/news20_dataset.html">
- <b>6.2.1.</b>
+ <b>6.3.1.</b>
Data preparation
@@ -914,12 +935,12 @@
</li>
- <li class="chapter " data-level="6.2.2" data-path="../binaryclass/news20_pa.html">
+ <li class="chapter " data-level="6.3.2" data-path="../binaryclass/news20_pa.html">
<a href="../binaryclass/news20_pa.html">
- <b>6.2.2.</b>
+ <b>6.3.2.</b>
Perceptron, Passive Aggressive
@@ -929,12 +950,12 @@
</li>
- <li class="chapter " data-level="6.2.3" data-path="../binaryclass/news20_scw.html">
+ <li class="chapter " data-level="6.3.3" data-path="../binaryclass/news20_scw.html">
<a href="../binaryclass/news20_scw.html">
- <b>6.2.3.</b>
+ <b>6.3.3.</b>
CW, AROW, SCW
@@ -944,12 +965,12 @@
</li>
- <li class="chapter " data-level="6.2.4" data-path="../binaryclass/news20_adagrad.html">
+ <li class="chapter " data-level="6.3.4" data-path="../binaryclass/news20_adagrad.html">
<a href="../binaryclass/news20_adagrad.html">
- <b>6.2.4.</b>
+ <b>6.3.4.</b>
AdaGradRDA, AdaGrad, AdaDelta
@@ -964,14 +985,14 @@
</li>
- <li class="chapter " data-level="6.3" data-path="../binaryclass/kdd2010a.html">
+ <li class="chapter " data-level="6.4" data-path="../binaryclass/kdd2010a.html">
<a href="../binaryclass/kdd2010a.html">
- <b>6.3.</b>
+ <b>6.4.</b>
- KDD2010a
+ KDD2010a tutorial
</a>
@@ -980,12 +1001,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.3.1" data-path="../binaryclass/kdd2010a_dataset.html">
+ <li class="chapter " data-level="6.4.1" data-path="../binaryclass/kdd2010a_dataset.html">
<a href="../binaryclass/kdd2010a_dataset.html">
- <b>6.3.1.</b>
+ <b>6.4.1.</b>
Data preparation
@@ -995,12 +1016,12 @@
</li>
- <li class="chapter " data-level="6.3.2" data-path="../binaryclass/kdd2010a_scw.html">
+ <li class="chapter " data-level="6.4.2" data-path="../binaryclass/kdd2010a_scw.html">
<a href="../binaryclass/kdd2010a_scw.html">
- <b>6.3.2.</b>
+ <b>6.4.2.</b>
PA, CW, AROW, SCW
@@ -1015,14 +1036,14 @@
</li>
- <li class="chapter " data-level="6.4" data-path="../binaryclass/kdd2010b.html">
+ <li class="chapter " data-level="6.5" data-path="../binaryclass/kdd2010b.html">
<a href="../binaryclass/kdd2010b.html">
- <b>6.4.</b>
+ <b>6.5.</b>
- KDD2010b
+ KDD2010b tutorial
</a>
@@ -1031,12 +1052,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.4.1" data-path="../binaryclass/kdd2010b_dataset.html">
+ <li class="chapter " data-level="6.5.1" data-path="../binaryclass/kdd2010b_dataset.html">
<a href="../binaryclass/kdd2010b_dataset.html">
- <b>6.4.1.</b>
+ <b>6.5.1.</b>
Data preparation
@@ -1046,12 +1067,12 @@
</li>
- <li class="chapter " data-level="6.4.2" data-path="../binaryclass/kdd2010b_arow.html">
+ <li class="chapter " data-level="6.5.2" data-path="../binaryclass/kdd2010b_arow.html">
<a href="../binaryclass/kdd2010b_arow.html">
- <b>6.4.2.</b>
+ <b>6.5.2.</b>
AROW
@@ -1066,14 +1087,14 @@
</li>
- <li class="chapter " data-level="6.5" data-path="../binaryclass/webspam.html">
+ <li class="chapter " data-level="6.6" data-path="../binaryclass/webspam.html">
<a href="../binaryclass/webspam.html">
- <b>6.5.</b>
+ <b>6.6.</b>
- Webspam
+ Webspam tutorial
</a>
@@ -1082,12 +1103,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.5.1" data-path="../binaryclass/webspam_dataset.html">
+ <li class="chapter " data-level="6.6.1" data-path="../binaryclass/webspam_dataset.html">
<a href="../binaryclass/webspam_dataset.html">
- <b>6.5.1.</b>
+ <b>6.6.1.</b>
Data pareparation
@@ -1097,12 +1118,12 @@
</li>
- <li class="chapter " data-level="6.5.2" data-path="../binaryclass/webspam_scw.html">
+ <li class="chapter " data-level="6.6.2" data-path="../binaryclass/webspam_scw.html">
<a href="../binaryclass/webspam_scw.html">
- <b>6.5.2.</b>
+ <b>6.6.2.</b>
PA1, AROW, SCW
@@ -1117,14 +1138,14 @@
</li>
- <li class="chapter " data-level="6.6" data-path="../binaryclass/titanic_rf.html">
+ <li class="chapter " data-level="6.7" data-path="../binaryclass/titanic_rf.html">
<a href="../binaryclass/titanic_rf.html">
- <b>6.6.</b>
+ <b>6.7.</b>
- Kaggle Titanic
+ Kaggle Titanic tutorial
</a>
@@ -1135,7 +1156,7 @@
- <li class="header">Part VII - Multiclass classification tutorials</li>
+ <li class="header">Part VII - Multiclass classification</li>
@@ -1146,7 +1167,7 @@
<b>7.1.</b>
- News20 Multiclass
+ News20 Multiclass tutorial
</a>
@@ -1257,7 +1278,7 @@
<b>7.2.</b>
- Iris
+ Iris tutorial
</a>
@@ -1319,18 +1340,33 @@
- <li class="header">Part VIII - Regression tutorials</li>
+ <li class="header">Part VIII - Regression</li>
- <li class="chapter " data-level="8.1" data-path="../regression/e2006.html">
+ <li class="chapter " data-level="8.1" data-path="../regression/general.html">
- <a href="../regression/e2006.html">
+ <a href="../regression/general.html">
<b>8.1.</b>
- E2006-tfidf regression
+ Regression
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="8.2" data-path="../regression/e2006.html">
+
+ <a href="../regression/e2006.html">
+
+
+ <b>8.2.</b>
+
+ E2006-tfidf regression tutorial
</a>
@@ -1339,12 +1375,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.1.1" data-path="../regression/e2006_dataset.html">
+ <li class="chapter " data-level="8.2.1" data-path="../regression/e2006_dataset.html">
<a href="../regression/e2006_dataset.html">
- <b>8.1.1.</b>
+ <b>8.2.1.</b>
Data preparation
@@ -1354,12 +1390,12 @@
</li>
- <li class="chapter " data-level="8.1.2" data-path="../regression/e2006_arow.html">
+ <li class="chapter " data-level="8.2.2" data-path="../regression/e2006_arow.html">
<a href="../regression/e2006_arow.html">
- <b>8.1.2.</b>
+ <b>8.2.2.</b>
Passive Aggressive, AROW
@@ -1374,14 +1410,14 @@
</li>
- <li class="chapter " data-level="8.2" data-path="../regression/kddcup12tr2.html">
+ <li class="chapter " data-level="8.3" data-path="../regression/kddcup12tr2.html">
<a href="../regression/kddcup12tr2.html">
- <b>8.2.</b>
+ <b>8.3.</b>
- KDDCup 2012 track 2 CTR prediction
+ KDDCup 2012 track 2 CTR prediction tutorial
</a>
@@ -1390,12 +1426,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.2.1" data-path="../regression/kddcup12tr2_dataset.html">
+ <li class="chapter " data-level="8.3.1" data-path="../regression/kddcup12tr2_dataset.html">
<a href="../regression/kddcup12tr2_dataset.html">
- <b>8.2.1.</b>
+ <b>8.3.1.</b>
Data preparation
@@ -1405,12 +1441,12 @@
</li>
- <li class="chapter " data-level="8.2.2" data-path="../regression/kddcup12tr2_lr.html">
+ <li class="chapter " data-level="8.3.2" data-path="../regression/kddcup12tr2_lr.html">
<a href="../regression/kddcup12tr2_lr.html">
- <b>8.2.2.</b>
+ <b>8.3.2.</b>
Logistic Regression, Passive Aggressive
@@ -1420,12 +1456,12 @@
</li>
- <li class="chapter " data-level="8.2.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
+ <li class="chapter " data-level="8.3.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
<a href="../regression/kddcup12tr2_lr_amplify.html">
- <b>8.2.3.</b>
+ <b>8.3.3.</b>
Logistic Regression with Amplifier
@@ -1435,12 +1471,12 @@
</li>
- <li class="chapter " data-level="8.2.4" data-path="../regression/kddcup12tr2_adagrad.html">
+ <li class="chapter " data-level="8.3.4" data-path="../regression/kddcup12tr2_adagrad.html">
<a href="../regression/kddcup12tr2_adagrad.html">
- <b>8.2.4.</b>
+ <b>8.3.4.</b>
AdaGrad, AdaDelta
@@ -2172,7 +2208,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
<script>
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http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/ba518dab/userguide/multiclass/news20_pa.html
----------------------------------------------------------------------
diff --git a/userguide/multiclass/news20_pa.html b/userguide/multiclass/news20_pa.html
index 120e39b..d23fbdc 100644
--- a/userguide/multiclass/news20_pa.html
+++ b/userguide/multiclass/news20_pa.html
@@ -598,14 +598,30 @@
</li>
- <li class="chapter " data-level="3.5" data-path="../ft_engineering/tfidf.html">
+ <li class="chapter " data-level="3.5" data-path="../ft_engineering/pairing.html">
- <a href="../ft_engineering/tfidf.html">
+ <a href="../ft_engineering/pairing.html">
<b>3.5.</b>
- TF-IDF Calculation
+ FEATURE PAIRING
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="3.5.1" data-path="../ft_engineering/polynomial.html">
+
+ <a href="../ft_engineering/polynomial.html">
+
+
+ <b>3.5.1.</b>
+
+ Polynomial Features
</a>
@@ -613,6 +629,11 @@
</li>
+
+ </ul>
+
+ </li>
+
<li class="chapter " data-level="3.6" data-path="../ft_engineering/ft_trans.html">
<a href="../ft_engineering/ft_trans.html">
@@ -664,6 +685,21 @@
</li>
+ <li class="chapter " data-level="3.7" data-path="../ft_engineering/tfidf.html">
+
+ <a href="../ft_engineering/tfidf.html">
+
+
+ <b>3.7.</b>
+
+ TF-IDF Calculation
+
+ </a>
+
+
+
+ </li>
+
@@ -761,7 +797,7 @@
- <li class="header">Part V - Prediction</li>
+ <li class="header">Part V - Supervised Learning</li>
@@ -780,27 +816,19 @@
</li>
- <li class="chapter " data-level="5.2" data-path="../regression/general.html">
-
- <a href="../regression/general.html">
-
-
- <b>5.2.</b>
-
- Regression
-
- </a>
-
-
- </li>
- <li class="chapter " data-level="5.3" data-path="../binaryclass/general.html">
+
+ <li class="header">Part VI - Binary classification</li>
+
+
+
+ <li class="chapter " data-level="6.1" data-path="../binaryclass/general.html">
<a href="../binaryclass/general.html">
- <b>5.3.</b>
+ <b>6.1.</b>
Binary Classification
@@ -810,21 +838,14 @@
</li>
-
-
-
- <li class="header">Part VI - Binary classification tutorials</li>
-
-
-
- <li class="chapter " data-level="6.1" data-path="../binaryclass/a9a.html">
+ <li class="chapter " data-level="6.2" data-path="../binaryclass/a9a.html">
<a href="../binaryclass/a9a.html">
- <b>6.1.</b>
+ <b>6.2.</b>
- a9a
+ a9a tutorial
</a>
@@ -833,12 +854,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.1.1" data-path="../binaryclass/a9a_dataset.html">
+ <li class="chapter " data-level="6.2.1" data-path="../binaryclass/a9a_dataset.html">
<a href="../binaryclass/a9a_dataset.html">
- <b>6.1.1.</b>
+ <b>6.2.1.</b>
Data preparation
@@ -848,12 +869,12 @@
</li>
- <li class="chapter " data-level="6.1.2" data-path="../binaryclass/a9a_lr.html">
+ <li class="chapter " data-level="6.2.2" data-path="../binaryclass/a9a_lr.html">
<a href="../binaryclass/a9a_lr.html">
- <b>6.1.2.</b>
+ <b>6.2.2.</b>
Logistic Regression
@@ -863,12 +884,12 @@
</li>
- <li class="chapter " data-level="6.1.3" data-path="../binaryclass/a9a_minibatch.html">
+ <li class="chapter " data-level="6.2.3" data-path="../binaryclass/a9a_minibatch.html">
<a href="../binaryclass/a9a_minibatch.html">
- <b>6.1.3.</b>
+ <b>6.2.3.</b>
Mini-batch Gradient Descent
@@ -883,14 +904,14 @@
</li>
- <li class="chapter " data-level="6.2" data-path="../binaryclass/news20.html">
+ <li class="chapter " data-level="6.3" data-path="../binaryclass/news20.html">
<a href="../binaryclass/news20.html">
- <b>6.2.</b>
+ <b>6.3.</b>
- News20
+ News20 tutorial
</a>
@@ -899,12 +920,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.2.1" data-path="../binaryclass/news20_dataset.html">
+ <li class="chapter " data-level="6.3.1" data-path="../binaryclass/news20_dataset.html">
<a href="../binaryclass/news20_dataset.html">
- <b>6.2.1.</b>
+ <b>6.3.1.</b>
Data preparation
@@ -914,12 +935,12 @@
</li>
- <li class="chapter " data-level="6.2.2" data-path="../binaryclass/news20_pa.html">
+ <li class="chapter " data-level="6.3.2" data-path="../binaryclass/news20_pa.html">
<a href="../binaryclass/news20_pa.html">
- <b>6.2.2.</b>
+ <b>6.3.2.</b>
Perceptron, Passive Aggressive
@@ -929,12 +950,12 @@
</li>
- <li class="chapter " data-level="6.2.3" data-path="../binaryclass/news20_scw.html">
+ <li class="chapter " data-level="6.3.3" data-path="../binaryclass/news20_scw.html">
<a href="../binaryclass/news20_scw.html">
- <b>6.2.3.</b>
+ <b>6.3.3.</b>
CW, AROW, SCW
@@ -944,12 +965,12 @@
</li>
- <li class="chapter " data-level="6.2.4" data-path="../binaryclass/news20_adagrad.html">
+ <li class="chapter " data-level="6.3.4" data-path="../binaryclass/news20_adagrad.html">
<a href="../binaryclass/news20_adagrad.html">
- <b>6.2.4.</b>
+ <b>6.3.4.</b>
AdaGradRDA, AdaGrad, AdaDelta
@@ -964,14 +985,14 @@
</li>
- <li class="chapter " data-level="6.3" data-path="../binaryclass/kdd2010a.html">
+ <li class="chapter " data-level="6.4" data-path="../binaryclass/kdd2010a.html">
<a href="../binaryclass/kdd2010a.html">
- <b>6.3.</b>
+ <b>6.4.</b>
- KDD2010a
+ KDD2010a tutorial
</a>
@@ -980,12 +1001,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.3.1" data-path="../binaryclass/kdd2010a_dataset.html">
+ <li class="chapter " data-level="6.4.1" data-path="../binaryclass/kdd2010a_dataset.html">
<a href="../binaryclass/kdd2010a_dataset.html">
- <b>6.3.1.</b>
+ <b>6.4.1.</b>
Data preparation
@@ -995,12 +1016,12 @@
</li>
- <li class="chapter " data-level="6.3.2" data-path="../binaryclass/kdd2010a_scw.html">
+ <li class="chapter " data-level="6.4.2" data-path="../binaryclass/kdd2010a_scw.html">
<a href="../binaryclass/kdd2010a_scw.html">
- <b>6.3.2.</b>
+ <b>6.4.2.</b>
PA, CW, AROW, SCW
@@ -1015,14 +1036,14 @@
</li>
- <li class="chapter " data-level="6.4" data-path="../binaryclass/kdd2010b.html">
+ <li class="chapter " data-level="6.5" data-path="../binaryclass/kdd2010b.html">
<a href="../binaryclass/kdd2010b.html">
- <b>6.4.</b>
+ <b>6.5.</b>
- KDD2010b
+ KDD2010b tutorial
</a>
@@ -1031,12 +1052,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.4.1" data-path="../binaryclass/kdd2010b_dataset.html">
+ <li class="chapter " data-level="6.5.1" data-path="../binaryclass/kdd2010b_dataset.html">
<a href="../binaryclass/kdd2010b_dataset.html">
- <b>6.4.1.</b>
+ <b>6.5.1.</b>
Data preparation
@@ -1046,12 +1067,12 @@
</li>
- <li class="chapter " data-level="6.4.2" data-path="../binaryclass/kdd2010b_arow.html">
+ <li class="chapter " data-level="6.5.2" data-path="../binaryclass/kdd2010b_arow.html">
<a href="../binaryclass/kdd2010b_arow.html">
- <b>6.4.2.</b>
+ <b>6.5.2.</b>
AROW
@@ -1066,14 +1087,14 @@
</li>
- <li class="chapter " data-level="6.5" data-path="../binaryclass/webspam.html">
+ <li class="chapter " data-level="6.6" data-path="../binaryclass/webspam.html">
<a href="../binaryclass/webspam.html">
- <b>6.5.</b>
+ <b>6.6.</b>
- Webspam
+ Webspam tutorial
</a>
@@ -1082,12 +1103,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.5.1" data-path="../binaryclass/webspam_dataset.html">
+ <li class="chapter " data-level="6.6.1" data-path="../binaryclass/webspam_dataset.html">
<a href="../binaryclass/webspam_dataset.html">
- <b>6.5.1.</b>
+ <b>6.6.1.</b>
Data pareparation
@@ -1097,12 +1118,12 @@
</li>
- <li class="chapter " data-level="6.5.2" data-path="../binaryclass/webspam_scw.html">
+ <li class="chapter " data-level="6.6.2" data-path="../binaryclass/webspam_scw.html">
<a href="../binaryclass/webspam_scw.html">
- <b>6.5.2.</b>
+ <b>6.6.2.</b>
PA1, AROW, SCW
@@ -1117,14 +1138,14 @@
</li>
- <li class="chapter " data-level="6.6" data-path="../binaryclass/titanic_rf.html">
+ <li class="chapter " data-level="6.7" data-path="../binaryclass/titanic_rf.html">
<a href="../binaryclass/titanic_rf.html">
- <b>6.6.</b>
+ <b>6.7.</b>
- Kaggle Titanic
+ Kaggle Titanic tutorial
</a>
@@ -1135,7 +1156,7 @@
- <li class="header">Part VII - Multiclass classification tutorials</li>
+ <li class="header">Part VII - Multiclass classification</li>
@@ -1146,7 +1167,7 @@
<b>7.1.</b>
- News20 Multiclass
+ News20 Multiclass tutorial
</a>
@@ -1257,7 +1278,7 @@
<b>7.2.</b>
- Iris
+ Iris tutorial
</a>
@@ -1319,18 +1340,33 @@
- <li class="header">Part VIII - Regression tutorials</li>
+ <li class="header">Part VIII - Regression</li>
- <li class="chapter " data-level="8.1" data-path="../regression/e2006.html">
+ <li class="chapter " data-level="8.1" data-path="../regression/general.html">
- <a href="../regression/e2006.html">
+ <a href="../regression/general.html">
<b>8.1.</b>
- E2006-tfidf regression
+ Regression
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="8.2" data-path="../regression/e2006.html">
+
+ <a href="../regression/e2006.html">
+
+
+ <b>8.2.</b>
+
+ E2006-tfidf regression tutorial
</a>
@@ -1339,12 +1375,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.1.1" data-path="../regression/e2006_dataset.html">
+ <li class="chapter " data-level="8.2.1" data-path="../regression/e2006_dataset.html">
<a href="../regression/e2006_dataset.html">
- <b>8.1.1.</b>
+ <b>8.2.1.</b>
Data preparation
@@ -1354,12 +1390,12 @@
</li>
- <li class="chapter " data-level="8.1.2" data-path="../regression/e2006_arow.html">
+ <li class="chapter " data-level="8.2.2" data-path="../regression/e2006_arow.html">
<a href="../regression/e2006_arow.html">
- <b>8.1.2.</b>
+ <b>8.2.2.</b>
Passive Aggressive, AROW
@@ -1374,14 +1410,14 @@
</li>
- <li class="chapter " data-level="8.2" data-path="../regression/kddcup12tr2.html">
+ <li class="chapter " data-level="8.3" data-path="../regression/kddcup12tr2.html">
<a href="../regression/kddcup12tr2.html">
- <b>8.2.</b>
+ <b>8.3.</b>
- KDDCup 2012 track 2 CTR prediction
+ KDDCup 2012 track 2 CTR prediction tutorial
</a>
@@ -1390,12 +1426,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.2.1" data-path="../regression/kddcup12tr2_dataset.html">
+ <li class="chapter " data-level="8.3.1" data-path="../regression/kddcup12tr2_dataset.html">
<a href="../regression/kddcup12tr2_dataset.html">
- <b>8.2.1.</b>
+ <b>8.3.1.</b>
Data preparation
@@ -1405,12 +1441,12 @@
</li>
- <li class="chapter " data-level="8.2.2" data-path="../regression/kddcup12tr2_lr.html">
+ <li class="chapter " data-level="8.3.2" data-path="../regression/kddcup12tr2_lr.html">
<a href="../regression/kddcup12tr2_lr.html">
- <b>8.2.2.</b>
+ <b>8.3.2.</b>
Logistic Regression, Passive Aggressive
@@ -1420,12 +1456,12 @@
</li>
- <li class="chapter " data-level="8.2.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
+ <li class="chapter " data-level="8.3.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
<a href="../regression/kddcup12tr2_lr_amplify.html">
- <b>8.2.3.</b>
+ <b>8.3.3.</b>
Logistic Regression with Amplifier
@@ -1435,12 +1471,12 @@
</li>
- <li class="chapter " data-level="8.2.4" data-path="../regression/kddcup12tr2_adagrad.html">
+ <li class="chapter " data-level="8.3.4" data-path="../regression/kddcup12tr2_adagrad.html">
<a href="../regression/kddcup12tr2_adagrad.html">
- <b>8.2.4.</b>
+ <b>8.3.4.</b>
AdaGrad, AdaDelta
@@ -2199,7 +2235,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
<script>
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----------------------------------------------------------------------
diff --git a/userguide/multiclass/news20_scw.html b/userguide/multiclass/news20_scw.html
index 617e38d..a169695 100644
--- a/userguide/multiclass/news20_scw.html
+++ b/userguide/multiclass/news20_scw.html
@@ -598,14 +598,30 @@
</li>
- <li class="chapter " data-level="3.5" data-path="../ft_engineering/tfidf.html">
+ <li class="chapter " data-level="3.5" data-path="../ft_engineering/pairing.html">
- <a href="../ft_engineering/tfidf.html">
+ <a href="../ft_engineering/pairing.html">
<b>3.5.</b>
- TF-IDF Calculation
+ FEATURE PAIRING
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="3.5.1" data-path="../ft_engineering/polynomial.html">
+
+ <a href="../ft_engineering/polynomial.html">
+
+
+ <b>3.5.1.</b>
+
+ Polynomial Features
</a>
@@ -613,6 +629,11 @@
</li>
+
+ </ul>
+
+ </li>
+
<li class="chapter " data-level="3.6" data-path="../ft_engineering/ft_trans.html">
<a href="../ft_engineering/ft_trans.html">
@@ -664,6 +685,21 @@
</li>
+ <li class="chapter " data-level="3.7" data-path="../ft_engineering/tfidf.html">
+
+ <a href="../ft_engineering/tfidf.html">
+
+
+ <b>3.7.</b>
+
+ TF-IDF Calculation
+
+ </a>
+
+
+
+ </li>
+
@@ -761,7 +797,7 @@
- <li class="header">Part V - Prediction</li>
+ <li class="header">Part V - Supervised Learning</li>
@@ -780,27 +816,19 @@
</li>
- <li class="chapter " data-level="5.2" data-path="../regression/general.html">
-
- <a href="../regression/general.html">
-
-
- <b>5.2.</b>
-
- Regression
-
- </a>
-
-
- </li>
- <li class="chapter " data-level="5.3" data-path="../binaryclass/general.html">
+
+ <li class="header">Part VI - Binary classification</li>
+
+
+
+ <li class="chapter " data-level="6.1" data-path="../binaryclass/general.html">
<a href="../binaryclass/general.html">
- <b>5.3.</b>
+ <b>6.1.</b>
Binary Classification
@@ -810,21 +838,14 @@
</li>
-
-
-
- <li class="header">Part VI - Binary classification tutorials</li>
-
-
-
- <li class="chapter " data-level="6.1" data-path="../binaryclass/a9a.html">
+ <li class="chapter " data-level="6.2" data-path="../binaryclass/a9a.html">
<a href="../binaryclass/a9a.html">
- <b>6.1.</b>
+ <b>6.2.</b>
- a9a
+ a9a tutorial
</a>
@@ -833,12 +854,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.1.1" data-path="../binaryclass/a9a_dataset.html">
+ <li class="chapter " data-level="6.2.1" data-path="../binaryclass/a9a_dataset.html">
<a href="../binaryclass/a9a_dataset.html">
- <b>6.1.1.</b>
+ <b>6.2.1.</b>
Data preparation
@@ -848,12 +869,12 @@
</li>
- <li class="chapter " data-level="6.1.2" data-path="../binaryclass/a9a_lr.html">
+ <li class="chapter " data-level="6.2.2" data-path="../binaryclass/a9a_lr.html">
<a href="../binaryclass/a9a_lr.html">
- <b>6.1.2.</b>
+ <b>6.2.2.</b>
Logistic Regression
@@ -863,12 +884,12 @@
</li>
- <li class="chapter " data-level="6.1.3" data-path="../binaryclass/a9a_minibatch.html">
+ <li class="chapter " data-level="6.2.3" data-path="../binaryclass/a9a_minibatch.html">
<a href="../binaryclass/a9a_minibatch.html">
- <b>6.1.3.</b>
+ <b>6.2.3.</b>
Mini-batch Gradient Descent
@@ -883,14 +904,14 @@
</li>
- <li class="chapter " data-level="6.2" data-path="../binaryclass/news20.html">
+ <li class="chapter " data-level="6.3" data-path="../binaryclass/news20.html">
<a href="../binaryclass/news20.html">
- <b>6.2.</b>
+ <b>6.3.</b>
- News20
+ News20 tutorial
</a>
@@ -899,12 +920,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.2.1" data-path="../binaryclass/news20_dataset.html">
+ <li class="chapter " data-level="6.3.1" data-path="../binaryclass/news20_dataset.html">
<a href="../binaryclass/news20_dataset.html">
- <b>6.2.1.</b>
+ <b>6.3.1.</b>
Data preparation
@@ -914,12 +935,12 @@
</li>
- <li class="chapter " data-level="6.2.2" data-path="../binaryclass/news20_pa.html">
+ <li class="chapter " data-level="6.3.2" data-path="../binaryclass/news20_pa.html">
<a href="../binaryclass/news20_pa.html">
- <b>6.2.2.</b>
+ <b>6.3.2.</b>
Perceptron, Passive Aggressive
@@ -929,12 +950,12 @@
</li>
- <li class="chapter " data-level="6.2.3" data-path="../binaryclass/news20_scw.html">
+ <li class="chapter " data-level="6.3.3" data-path="../binaryclass/news20_scw.html">
<a href="../binaryclass/news20_scw.html">
- <b>6.2.3.</b>
+ <b>6.3.3.</b>
CW, AROW, SCW
@@ -944,12 +965,12 @@
</li>
- <li class="chapter " data-level="6.2.4" data-path="../binaryclass/news20_adagrad.html">
+ <li class="chapter " data-level="6.3.4" data-path="../binaryclass/news20_adagrad.html">
<a href="../binaryclass/news20_adagrad.html">
- <b>6.2.4.</b>
+ <b>6.3.4.</b>
AdaGradRDA, AdaGrad, AdaDelta
@@ -964,14 +985,14 @@
</li>
- <li class="chapter " data-level="6.3" data-path="../binaryclass/kdd2010a.html">
+ <li class="chapter " data-level="6.4" data-path="../binaryclass/kdd2010a.html">
<a href="../binaryclass/kdd2010a.html">
- <b>6.3.</b>
+ <b>6.4.</b>
- KDD2010a
+ KDD2010a tutorial
</a>
@@ -980,12 +1001,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.3.1" data-path="../binaryclass/kdd2010a_dataset.html">
+ <li class="chapter " data-level="6.4.1" data-path="../binaryclass/kdd2010a_dataset.html">
<a href="../binaryclass/kdd2010a_dataset.html">
- <b>6.3.1.</b>
+ <b>6.4.1.</b>
Data preparation
@@ -995,12 +1016,12 @@
</li>
- <li class="chapter " data-level="6.3.2" data-path="../binaryclass/kdd2010a_scw.html">
+ <li class="chapter " data-level="6.4.2" data-path="../binaryclass/kdd2010a_scw.html">
<a href="../binaryclass/kdd2010a_scw.html">
- <b>6.3.2.</b>
+ <b>6.4.2.</b>
PA, CW, AROW, SCW
@@ -1015,14 +1036,14 @@
</li>
- <li class="chapter " data-level="6.4" data-path="../binaryclass/kdd2010b.html">
+ <li class="chapter " data-level="6.5" data-path="../binaryclass/kdd2010b.html">
<a href="../binaryclass/kdd2010b.html">
- <b>6.4.</b>
+ <b>6.5.</b>
- KDD2010b
+ KDD2010b tutorial
</a>
@@ -1031,12 +1052,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.4.1" data-path="../binaryclass/kdd2010b_dataset.html">
+ <li class="chapter " data-level="6.5.1" data-path="../binaryclass/kdd2010b_dataset.html">
<a href="../binaryclass/kdd2010b_dataset.html">
- <b>6.4.1.</b>
+ <b>6.5.1.</b>
Data preparation
@@ -1046,12 +1067,12 @@
</li>
- <li class="chapter " data-level="6.4.2" data-path="../binaryclass/kdd2010b_arow.html">
+ <li class="chapter " data-level="6.5.2" data-path="../binaryclass/kdd2010b_arow.html">
<a href="../binaryclass/kdd2010b_arow.html">
- <b>6.4.2.</b>
+ <b>6.5.2.</b>
AROW
@@ -1066,14 +1087,14 @@
</li>
- <li class="chapter " data-level="6.5" data-path="../binaryclass/webspam.html">
+ <li class="chapter " data-level="6.6" data-path="../binaryclass/webspam.html">
<a href="../binaryclass/webspam.html">
- <b>6.5.</b>
+ <b>6.6.</b>
- Webspam
+ Webspam tutorial
</a>
@@ -1082,12 +1103,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.5.1" data-path="../binaryclass/webspam_dataset.html">
+ <li class="chapter " data-level="6.6.1" data-path="../binaryclass/webspam_dataset.html">
<a href="../binaryclass/webspam_dataset.html">
- <b>6.5.1.</b>
+ <b>6.6.1.</b>
Data pareparation
@@ -1097,12 +1118,12 @@
</li>
- <li class="chapter " data-level="6.5.2" data-path="../binaryclass/webspam_scw.html">
+ <li class="chapter " data-level="6.6.2" data-path="../binaryclass/webspam_scw.html">
<a href="../binaryclass/webspam_scw.html">
- <b>6.5.2.</b>
+ <b>6.6.2.</b>
PA1, AROW, SCW
@@ -1117,14 +1138,14 @@
</li>
- <li class="chapter " data-level="6.6" data-path="../binaryclass/titanic_rf.html">
+ <li class="chapter " data-level="6.7" data-path="../binaryclass/titanic_rf.html">
<a href="../binaryclass/titanic_rf.html">
- <b>6.6.</b>
+ <b>6.7.</b>
- Kaggle Titanic
+ Kaggle Titanic tutorial
</a>
@@ -1135,7 +1156,7 @@
- <li class="header">Part VII - Multiclass classification tutorials</li>
+ <li class="header">Part VII - Multiclass classification</li>
@@ -1146,7 +1167,7 @@
<b>7.1.</b>
- News20 Multiclass
+ News20 Multiclass tutorial
</a>
@@ -1257,7 +1278,7 @@
<b>7.2.</b>
- Iris
+ Iris tutorial
</a>
@@ -1319,18 +1340,33 @@
- <li class="header">Part VIII - Regression tutorials</li>
+ <li class="header">Part VIII - Regression</li>
- <li class="chapter " data-level="8.1" data-path="../regression/e2006.html">
+ <li class="chapter " data-level="8.1" data-path="../regression/general.html">
- <a href="../regression/e2006.html">
+ <a href="../regression/general.html">
<b>8.1.</b>
- E2006-tfidf regression
+ Regression
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="8.2" data-path="../regression/e2006.html">
+
+ <a href="../regression/e2006.html">
+
+
+ <b>8.2.</b>
+
+ E2006-tfidf regression tutorial
</a>
@@ -1339,12 +1375,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.1.1" data-path="../regression/e2006_dataset.html">
+ <li class="chapter " data-level="8.2.1" data-path="../regression/e2006_dataset.html">
<a href="../regression/e2006_dataset.html">
- <b>8.1.1.</b>
+ <b>8.2.1.</b>
Data preparation
@@ -1354,12 +1390,12 @@
</li>
- <li class="chapter " data-level="8.1.2" data-path="../regression/e2006_arow.html">
+ <li class="chapter " data-level="8.2.2" data-path="../regression/e2006_arow.html">
<a href="../regression/e2006_arow.html">
- <b>8.1.2.</b>
+ <b>8.2.2.</b>
Passive Aggressive, AROW
@@ -1374,14 +1410,14 @@
</li>
- <li class="chapter " data-level="8.2" data-path="../regression/kddcup12tr2.html">
+ <li class="chapter " data-level="8.3" data-path="../regression/kddcup12tr2.html">
<a href="../regression/kddcup12tr2.html">
- <b>8.2.</b>
+ <b>8.3.</b>
- KDDCup 2012 track 2 CTR prediction
+ KDDCup 2012 track 2 CTR prediction tutorial
</a>
@@ -1390,12 +1426,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.2.1" data-path="../regression/kddcup12tr2_dataset.html">
+ <li class="chapter " data-level="8.3.1" data-path="../regression/kddcup12tr2_dataset.html">
<a href="../regression/kddcup12tr2_dataset.html">
- <b>8.2.1.</b>
+ <b>8.3.1.</b>
Data preparation
@@ -1405,12 +1441,12 @@
</li>
- <li class="chapter " data-level="8.2.2" data-path="../regression/kddcup12tr2_lr.html">
+ <li class="chapter " data-level="8.3.2" data-path="../regression/kddcup12tr2_lr.html">
<a href="../regression/kddcup12tr2_lr.html">
- <b>8.2.2.</b>
+ <b>8.3.2.</b>
Logistic Regression, Passive Aggressive
@@ -1420,12 +1456,12 @@
</li>
- <li class="chapter " data-level="8.2.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
+ <li class="chapter " data-level="8.3.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
<a href="../regression/kddcup12tr2_lr_amplify.html">
- <b>8.2.3.</b>
+ <b>8.3.3.</b>
Logistic Regression with Amplifier
@@ -1435,12 +1471,12 @@
</li>
- <li class="chapter " data-level="8.2.4" data-path="../regression/kddcup12tr2_adagrad.html">
+ <li class="chapter " data-level="8.3.4" data-path="../regression/kddcup12tr2_adagrad.html">
<a href="../regression/kddcup12tr2_adagrad.html">
- <b>8.2.4.</b>
+ <b>8.3.4.</b>
AdaGrad, AdaDelta
@@ -2419,7 +2455,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
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[07/41] incubator-hivemall-site git commit: Added descriptions about
Feature Pairing in the user guide
Posted by my...@apache.org.
http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/ba518dab/userguide/spark/getting_started/installation.html
----------------------------------------------------------------------
diff --git a/userguide/spark/getting_started/installation.html b/userguide/spark/getting_started/installation.html
index c4c725e..6a99470 100644
--- a/userguide/spark/getting_started/installation.html
+++ b/userguide/spark/getting_started/installation.html
@@ -598,14 +598,30 @@
</li>
- <li class="chapter " data-level="3.5" data-path="../../ft_engineering/tfidf.html">
+ <li class="chapter " data-level="3.5" data-path="../../ft_engineering/pairing.html">
- <a href="../../ft_engineering/tfidf.html">
+ <a href="../../ft_engineering/pairing.html">
<b>3.5.</b>
- TF-IDF Calculation
+ FEATURE PAIRING
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="3.5.1" data-path="../../ft_engineering/polynomial.html">
+
+ <a href="../../ft_engineering/polynomial.html">
+
+
+ <b>3.5.1.</b>
+
+ Polynomial Features
</a>
@@ -613,6 +629,11 @@
</li>
+
+ </ul>
+
+ </li>
+
<li class="chapter " data-level="3.6" data-path="../../ft_engineering/ft_trans.html">
<a href="../../ft_engineering/ft_trans.html">
@@ -664,6 +685,21 @@
</li>
+ <li class="chapter " data-level="3.7" data-path="../../ft_engineering/tfidf.html">
+
+ <a href="../../ft_engineering/tfidf.html">
+
+
+ <b>3.7.</b>
+
+ TF-IDF Calculation
+
+ </a>
+
+
+
+ </li>
+
@@ -761,7 +797,7 @@
- <li class="header">Part V - Prediction</li>
+ <li class="header">Part V - Supervised Learning</li>
@@ -780,27 +816,19 @@
</li>
- <li class="chapter " data-level="5.2" data-path="../../regression/general.html">
-
- <a href="../../regression/general.html">
-
-
- <b>5.2.</b>
-
- Regression
-
- </a>
-
-
- </li>
- <li class="chapter " data-level="5.3" data-path="../../binaryclass/general.html">
+
+ <li class="header">Part VI - Binary classification</li>
+
+
+
+ <li class="chapter " data-level="6.1" data-path="../../binaryclass/general.html">
<a href="../../binaryclass/general.html">
- <b>5.3.</b>
+ <b>6.1.</b>
Binary Classification
@@ -810,21 +838,14 @@
</li>
-
-
-
- <li class="header">Part VI - Binary classification tutorials</li>
-
-
-
- <li class="chapter " data-level="6.1" data-path="../../binaryclass/a9a.html">
+ <li class="chapter " data-level="6.2" data-path="../../binaryclass/a9a.html">
<a href="../../binaryclass/a9a.html">
- <b>6.1.</b>
+ <b>6.2.</b>
- a9a
+ a9a tutorial
</a>
@@ -833,12 +854,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.1.1" data-path="../../binaryclass/a9a_dataset.html">
+ <li class="chapter " data-level="6.2.1" data-path="../../binaryclass/a9a_dataset.html">
<a href="../../binaryclass/a9a_dataset.html">
- <b>6.1.1.</b>
+ <b>6.2.1.</b>
Data preparation
@@ -848,12 +869,12 @@
</li>
- <li class="chapter " data-level="6.1.2" data-path="../../binaryclass/a9a_lr.html">
+ <li class="chapter " data-level="6.2.2" data-path="../../binaryclass/a9a_lr.html">
<a href="../../binaryclass/a9a_lr.html">
- <b>6.1.2.</b>
+ <b>6.2.2.</b>
Logistic Regression
@@ -863,12 +884,12 @@
</li>
- <li class="chapter " data-level="6.1.3" data-path="../../binaryclass/a9a_minibatch.html">
+ <li class="chapter " data-level="6.2.3" data-path="../../binaryclass/a9a_minibatch.html">
<a href="../../binaryclass/a9a_minibatch.html">
- <b>6.1.3.</b>
+ <b>6.2.3.</b>
Mini-batch Gradient Descent
@@ -883,14 +904,14 @@
</li>
- <li class="chapter " data-level="6.2" data-path="../../binaryclass/news20.html">
+ <li class="chapter " data-level="6.3" data-path="../../binaryclass/news20.html">
<a href="../../binaryclass/news20.html">
- <b>6.2.</b>
+ <b>6.3.</b>
- News20
+ News20 tutorial
</a>
@@ -899,12 +920,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.2.1" data-path="../../binaryclass/news20_dataset.html">
+ <li class="chapter " data-level="6.3.1" data-path="../../binaryclass/news20_dataset.html">
<a href="../../binaryclass/news20_dataset.html">
- <b>6.2.1.</b>
+ <b>6.3.1.</b>
Data preparation
@@ -914,12 +935,12 @@
</li>
- <li class="chapter " data-level="6.2.2" data-path="../../binaryclass/news20_pa.html">
+ <li class="chapter " data-level="6.3.2" data-path="../../binaryclass/news20_pa.html">
<a href="../../binaryclass/news20_pa.html">
- <b>6.2.2.</b>
+ <b>6.3.2.</b>
Perceptron, Passive Aggressive
@@ -929,12 +950,12 @@
</li>
- <li class="chapter " data-level="6.2.3" data-path="../../binaryclass/news20_scw.html">
+ <li class="chapter " data-level="6.3.3" data-path="../../binaryclass/news20_scw.html">
<a href="../../binaryclass/news20_scw.html">
- <b>6.2.3.</b>
+ <b>6.3.3.</b>
CW, AROW, SCW
@@ -944,12 +965,12 @@
</li>
- <li class="chapter " data-level="6.2.4" data-path="../../binaryclass/news20_adagrad.html">
+ <li class="chapter " data-level="6.3.4" data-path="../../binaryclass/news20_adagrad.html">
<a href="../../binaryclass/news20_adagrad.html">
- <b>6.2.4.</b>
+ <b>6.3.4.</b>
AdaGradRDA, AdaGrad, AdaDelta
@@ -964,14 +985,14 @@
</li>
- <li class="chapter " data-level="6.3" data-path="../../binaryclass/kdd2010a.html">
+ <li class="chapter " data-level="6.4" data-path="../../binaryclass/kdd2010a.html">
<a href="../../binaryclass/kdd2010a.html">
- <b>6.3.</b>
+ <b>6.4.</b>
- KDD2010a
+ KDD2010a tutorial
</a>
@@ -980,12 +1001,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.3.1" data-path="../../binaryclass/kdd2010a_dataset.html">
+ <li class="chapter " data-level="6.4.1" data-path="../../binaryclass/kdd2010a_dataset.html">
<a href="../../binaryclass/kdd2010a_dataset.html">
- <b>6.3.1.</b>
+ <b>6.4.1.</b>
Data preparation
@@ -995,12 +1016,12 @@
</li>
- <li class="chapter " data-level="6.3.2" data-path="../../binaryclass/kdd2010a_scw.html">
+ <li class="chapter " data-level="6.4.2" data-path="../../binaryclass/kdd2010a_scw.html">
<a href="../../binaryclass/kdd2010a_scw.html">
- <b>6.3.2.</b>
+ <b>6.4.2.</b>
PA, CW, AROW, SCW
@@ -1015,14 +1036,14 @@
</li>
- <li class="chapter " data-level="6.4" data-path="../../binaryclass/kdd2010b.html">
+ <li class="chapter " data-level="6.5" data-path="../../binaryclass/kdd2010b.html">
<a href="../../binaryclass/kdd2010b.html">
- <b>6.4.</b>
+ <b>6.5.</b>
- KDD2010b
+ KDD2010b tutorial
</a>
@@ -1031,12 +1052,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.4.1" data-path="../../binaryclass/kdd2010b_dataset.html">
+ <li class="chapter " data-level="6.5.1" data-path="../../binaryclass/kdd2010b_dataset.html">
<a href="../../binaryclass/kdd2010b_dataset.html">
- <b>6.4.1.</b>
+ <b>6.5.1.</b>
Data preparation
@@ -1046,12 +1067,12 @@
</li>
- <li class="chapter " data-level="6.4.2" data-path="../../binaryclass/kdd2010b_arow.html">
+ <li class="chapter " data-level="6.5.2" data-path="../../binaryclass/kdd2010b_arow.html">
<a href="../../binaryclass/kdd2010b_arow.html">
- <b>6.4.2.</b>
+ <b>6.5.2.</b>
AROW
@@ -1066,14 +1087,14 @@
</li>
- <li class="chapter " data-level="6.5" data-path="../../binaryclass/webspam.html">
+ <li class="chapter " data-level="6.6" data-path="../../binaryclass/webspam.html">
<a href="../../binaryclass/webspam.html">
- <b>6.5.</b>
+ <b>6.6.</b>
- Webspam
+ Webspam tutorial
</a>
@@ -1082,12 +1103,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.5.1" data-path="../../binaryclass/webspam_dataset.html">
+ <li class="chapter " data-level="6.6.1" data-path="../../binaryclass/webspam_dataset.html">
<a href="../../binaryclass/webspam_dataset.html">
- <b>6.5.1.</b>
+ <b>6.6.1.</b>
Data pareparation
@@ -1097,12 +1118,12 @@
</li>
- <li class="chapter " data-level="6.5.2" data-path="../../binaryclass/webspam_scw.html">
+ <li class="chapter " data-level="6.6.2" data-path="../../binaryclass/webspam_scw.html">
<a href="../../binaryclass/webspam_scw.html">
- <b>6.5.2.</b>
+ <b>6.6.2.</b>
PA1, AROW, SCW
@@ -1117,14 +1138,14 @@
</li>
- <li class="chapter " data-level="6.6" data-path="../../binaryclass/titanic_rf.html">
+ <li class="chapter " data-level="6.7" data-path="../../binaryclass/titanic_rf.html">
<a href="../../binaryclass/titanic_rf.html">
- <b>6.6.</b>
+ <b>6.7.</b>
- Kaggle Titanic
+ Kaggle Titanic tutorial
</a>
@@ -1135,7 +1156,7 @@
- <li class="header">Part VII - Multiclass classification tutorials</li>
+ <li class="header">Part VII - Multiclass classification</li>
@@ -1146,7 +1167,7 @@
<b>7.1.</b>
- News20 Multiclass
+ News20 Multiclass tutorial
</a>
@@ -1257,7 +1278,7 @@
<b>7.2.</b>
- Iris
+ Iris tutorial
</a>
@@ -1319,18 +1340,33 @@
- <li class="header">Part VIII - Regression tutorials</li>
+ <li class="header">Part VIII - Regression</li>
- <li class="chapter " data-level="8.1" data-path="../../regression/e2006.html">
+ <li class="chapter " data-level="8.1" data-path="../../regression/general.html">
- <a href="../../regression/e2006.html">
+ <a href="../../regression/general.html">
<b>8.1.</b>
- E2006-tfidf regression
+ Regression
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="8.2" data-path="../../regression/e2006.html">
+
+ <a href="../../regression/e2006.html">
+
+
+ <b>8.2.</b>
+
+ E2006-tfidf regression tutorial
</a>
@@ -1339,12 +1375,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.1.1" data-path="../../regression/e2006_dataset.html">
+ <li class="chapter " data-level="8.2.1" data-path="../../regression/e2006_dataset.html">
<a href="../../regression/e2006_dataset.html">
- <b>8.1.1.</b>
+ <b>8.2.1.</b>
Data preparation
@@ -1354,12 +1390,12 @@
</li>
- <li class="chapter " data-level="8.1.2" data-path="../../regression/e2006_arow.html">
+ <li class="chapter " data-level="8.2.2" data-path="../../regression/e2006_arow.html">
<a href="../../regression/e2006_arow.html">
- <b>8.1.2.</b>
+ <b>8.2.2.</b>
Passive Aggressive, AROW
@@ -1374,14 +1410,14 @@
</li>
- <li class="chapter " data-level="8.2" data-path="../../regression/kddcup12tr2.html">
+ <li class="chapter " data-level="8.3" data-path="../../regression/kddcup12tr2.html">
<a href="../../regression/kddcup12tr2.html">
- <b>8.2.</b>
+ <b>8.3.</b>
- KDDCup 2012 track 2 CTR prediction
+ KDDCup 2012 track 2 CTR prediction tutorial
</a>
@@ -1390,12 +1426,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.2.1" data-path="../../regression/kddcup12tr2_dataset.html">
+ <li class="chapter " data-level="8.3.1" data-path="../../regression/kddcup12tr2_dataset.html">
<a href="../../regression/kddcup12tr2_dataset.html">
- <b>8.2.1.</b>
+ <b>8.3.1.</b>
Data preparation
@@ -1405,12 +1441,12 @@
</li>
- <li class="chapter " data-level="8.2.2" data-path="../../regression/kddcup12tr2_lr.html">
+ <li class="chapter " data-level="8.3.2" data-path="../../regression/kddcup12tr2_lr.html">
<a href="../../regression/kddcup12tr2_lr.html">
- <b>8.2.2.</b>
+ <b>8.3.2.</b>
Logistic Regression, Passive Aggressive
@@ -1420,12 +1456,12 @@
</li>
- <li class="chapter " data-level="8.2.3" data-path="../../regression/kddcup12tr2_lr_amplify.html">
+ <li class="chapter " data-level="8.3.3" data-path="../../regression/kddcup12tr2_lr_amplify.html">
<a href="../../regression/kddcup12tr2_lr_amplify.html">
- <b>8.2.3.</b>
+ <b>8.3.3.</b>
Logistic Regression with Amplifier
@@ -1435,12 +1471,12 @@
</li>
- <li class="chapter " data-level="8.2.4" data-path="../../regression/kddcup12tr2_adagrad.html">
+ <li class="chapter " data-level="8.3.4" data-path="../../regression/kddcup12tr2_adagrad.html">
<a href="../../regression/kddcup12tr2_adagrad.html">
- <b>8.2.4.</b>
+ <b>8.3.4.</b>
AdaGrad, AdaDelta
@@ -2149,7 +2185,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
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index 3e3f80d..0e8effa 100644
--- a/userguide/spark/misc/functions.html
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@@ -598,14 +598,30 @@
</li>
- <li class="chapter " data-level="3.5" data-path="../../ft_engineering/tfidf.html">
+ <li class="chapter " data-level="3.5" data-path="../../ft_engineering/pairing.html">
- <a href="../../ft_engineering/tfidf.html">
+ <a href="../../ft_engineering/pairing.html">
<b>3.5.</b>
- TF-IDF Calculation
+ FEATURE PAIRING
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="3.5.1" data-path="../../ft_engineering/polynomial.html">
+
+ <a href="../../ft_engineering/polynomial.html">
+
+
+ <b>3.5.1.</b>
+
+ Polynomial Features
</a>
@@ -613,6 +629,11 @@
</li>
+
+ </ul>
+
+ </li>
+
<li class="chapter " data-level="3.6" data-path="../../ft_engineering/ft_trans.html">
<a href="../../ft_engineering/ft_trans.html">
@@ -664,6 +685,21 @@
</li>
+ <li class="chapter " data-level="3.7" data-path="../../ft_engineering/tfidf.html">
+
+ <a href="../../ft_engineering/tfidf.html">
+
+
+ <b>3.7.</b>
+
+ TF-IDF Calculation
+
+ </a>
+
+
+
+ </li>
+
@@ -761,7 +797,7 @@
- <li class="header">Part V - Prediction</li>
+ <li class="header">Part V - Supervised Learning</li>
@@ -780,27 +816,19 @@
</li>
- <li class="chapter " data-level="5.2" data-path="../../regression/general.html">
-
- <a href="../../regression/general.html">
-
-
- <b>5.2.</b>
-
- Regression
-
- </a>
-
-
- </li>
- <li class="chapter " data-level="5.3" data-path="../../binaryclass/general.html">
+
+ <li class="header">Part VI - Binary classification</li>
+
+
+
+ <li class="chapter " data-level="6.1" data-path="../../binaryclass/general.html">
<a href="../../binaryclass/general.html">
- <b>5.3.</b>
+ <b>6.1.</b>
Binary Classification
@@ -810,21 +838,14 @@
</li>
-
-
-
- <li class="header">Part VI - Binary classification tutorials</li>
-
-
-
- <li class="chapter " data-level="6.1" data-path="../../binaryclass/a9a.html">
+ <li class="chapter " data-level="6.2" data-path="../../binaryclass/a9a.html">
<a href="../../binaryclass/a9a.html">
- <b>6.1.</b>
+ <b>6.2.</b>
- a9a
+ a9a tutorial
</a>
@@ -833,12 +854,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.1.1" data-path="../../binaryclass/a9a_dataset.html">
+ <li class="chapter " data-level="6.2.1" data-path="../../binaryclass/a9a_dataset.html">
<a href="../../binaryclass/a9a_dataset.html">
- <b>6.1.1.</b>
+ <b>6.2.1.</b>
Data preparation
@@ -848,12 +869,12 @@
</li>
- <li class="chapter " data-level="6.1.2" data-path="../../binaryclass/a9a_lr.html">
+ <li class="chapter " data-level="6.2.2" data-path="../../binaryclass/a9a_lr.html">
<a href="../../binaryclass/a9a_lr.html">
- <b>6.1.2.</b>
+ <b>6.2.2.</b>
Logistic Regression
@@ -863,12 +884,12 @@
</li>
- <li class="chapter " data-level="6.1.3" data-path="../../binaryclass/a9a_minibatch.html">
+ <li class="chapter " data-level="6.2.3" data-path="../../binaryclass/a9a_minibatch.html">
<a href="../../binaryclass/a9a_minibatch.html">
- <b>6.1.3.</b>
+ <b>6.2.3.</b>
Mini-batch Gradient Descent
@@ -883,14 +904,14 @@
</li>
- <li class="chapter " data-level="6.2" data-path="../../binaryclass/news20.html">
+ <li class="chapter " data-level="6.3" data-path="../../binaryclass/news20.html">
<a href="../../binaryclass/news20.html">
- <b>6.2.</b>
+ <b>6.3.</b>
- News20
+ News20 tutorial
</a>
@@ -899,12 +920,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.2.1" data-path="../../binaryclass/news20_dataset.html">
+ <li class="chapter " data-level="6.3.1" data-path="../../binaryclass/news20_dataset.html">
<a href="../../binaryclass/news20_dataset.html">
- <b>6.2.1.</b>
+ <b>6.3.1.</b>
Data preparation
@@ -914,12 +935,12 @@
</li>
- <li class="chapter " data-level="6.2.2" data-path="../../binaryclass/news20_pa.html">
+ <li class="chapter " data-level="6.3.2" data-path="../../binaryclass/news20_pa.html">
<a href="../../binaryclass/news20_pa.html">
- <b>6.2.2.</b>
+ <b>6.3.2.</b>
Perceptron, Passive Aggressive
@@ -929,12 +950,12 @@
</li>
- <li class="chapter " data-level="6.2.3" data-path="../../binaryclass/news20_scw.html">
+ <li class="chapter " data-level="6.3.3" data-path="../../binaryclass/news20_scw.html">
<a href="../../binaryclass/news20_scw.html">
- <b>6.2.3.</b>
+ <b>6.3.3.</b>
CW, AROW, SCW
@@ -944,12 +965,12 @@
</li>
- <li class="chapter " data-level="6.2.4" data-path="../../binaryclass/news20_adagrad.html">
+ <li class="chapter " data-level="6.3.4" data-path="../../binaryclass/news20_adagrad.html">
<a href="../../binaryclass/news20_adagrad.html">
- <b>6.2.4.</b>
+ <b>6.3.4.</b>
AdaGradRDA, AdaGrad, AdaDelta
@@ -964,14 +985,14 @@
</li>
- <li class="chapter " data-level="6.3" data-path="../../binaryclass/kdd2010a.html">
+ <li class="chapter " data-level="6.4" data-path="../../binaryclass/kdd2010a.html">
<a href="../../binaryclass/kdd2010a.html">
- <b>6.3.</b>
+ <b>6.4.</b>
- KDD2010a
+ KDD2010a tutorial
</a>
@@ -980,12 +1001,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.3.1" data-path="../../binaryclass/kdd2010a_dataset.html">
+ <li class="chapter " data-level="6.4.1" data-path="../../binaryclass/kdd2010a_dataset.html">
<a href="../../binaryclass/kdd2010a_dataset.html">
- <b>6.3.1.</b>
+ <b>6.4.1.</b>
Data preparation
@@ -995,12 +1016,12 @@
</li>
- <li class="chapter " data-level="6.3.2" data-path="../../binaryclass/kdd2010a_scw.html">
+ <li class="chapter " data-level="6.4.2" data-path="../../binaryclass/kdd2010a_scw.html">
<a href="../../binaryclass/kdd2010a_scw.html">
- <b>6.3.2.</b>
+ <b>6.4.2.</b>
PA, CW, AROW, SCW
@@ -1015,14 +1036,14 @@
</li>
- <li class="chapter " data-level="6.4" data-path="../../binaryclass/kdd2010b.html">
+ <li class="chapter " data-level="6.5" data-path="../../binaryclass/kdd2010b.html">
<a href="../../binaryclass/kdd2010b.html">
- <b>6.4.</b>
+ <b>6.5.</b>
- KDD2010b
+ KDD2010b tutorial
</a>
@@ -1031,12 +1052,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.4.1" data-path="../../binaryclass/kdd2010b_dataset.html">
+ <li class="chapter " data-level="6.5.1" data-path="../../binaryclass/kdd2010b_dataset.html">
<a href="../../binaryclass/kdd2010b_dataset.html">
- <b>6.4.1.</b>
+ <b>6.5.1.</b>
Data preparation
@@ -1046,12 +1067,12 @@
</li>
- <li class="chapter " data-level="6.4.2" data-path="../../binaryclass/kdd2010b_arow.html">
+ <li class="chapter " data-level="6.5.2" data-path="../../binaryclass/kdd2010b_arow.html">
<a href="../../binaryclass/kdd2010b_arow.html">
- <b>6.4.2.</b>
+ <b>6.5.2.</b>
AROW
@@ -1066,14 +1087,14 @@
</li>
- <li class="chapter " data-level="6.5" data-path="../../binaryclass/webspam.html">
+ <li class="chapter " data-level="6.6" data-path="../../binaryclass/webspam.html">
<a href="../../binaryclass/webspam.html">
- <b>6.5.</b>
+ <b>6.6.</b>
- Webspam
+ Webspam tutorial
</a>
@@ -1082,12 +1103,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.5.1" data-path="../../binaryclass/webspam_dataset.html">
+ <li class="chapter " data-level="6.6.1" data-path="../../binaryclass/webspam_dataset.html">
<a href="../../binaryclass/webspam_dataset.html">
- <b>6.5.1.</b>
+ <b>6.6.1.</b>
Data pareparation
@@ -1097,12 +1118,12 @@
</li>
- <li class="chapter " data-level="6.5.2" data-path="../../binaryclass/webspam_scw.html">
+ <li class="chapter " data-level="6.6.2" data-path="../../binaryclass/webspam_scw.html">
<a href="../../binaryclass/webspam_scw.html">
- <b>6.5.2.</b>
+ <b>6.6.2.</b>
PA1, AROW, SCW
@@ -1117,14 +1138,14 @@
</li>
- <li class="chapter " data-level="6.6" data-path="../../binaryclass/titanic_rf.html">
+ <li class="chapter " data-level="6.7" data-path="../../binaryclass/titanic_rf.html">
<a href="../../binaryclass/titanic_rf.html">
- <b>6.6.</b>
+ <b>6.7.</b>
- Kaggle Titanic
+ Kaggle Titanic tutorial
</a>
@@ -1135,7 +1156,7 @@
- <li class="header">Part VII - Multiclass classification tutorials</li>
+ <li class="header">Part VII - Multiclass classification</li>
@@ -1146,7 +1167,7 @@
<b>7.1.</b>
- News20 Multiclass
+ News20 Multiclass tutorial
</a>
@@ -1257,7 +1278,7 @@
<b>7.2.</b>
- Iris
+ Iris tutorial
</a>
@@ -1319,18 +1340,33 @@
- <li class="header">Part VIII - Regression tutorials</li>
+ <li class="header">Part VIII - Regression</li>
- <li class="chapter " data-level="8.1" data-path="../../regression/e2006.html">
+ <li class="chapter " data-level="8.1" data-path="../../regression/general.html">
- <a href="../../regression/e2006.html">
+ <a href="../../regression/general.html">
<b>8.1.</b>
- E2006-tfidf regression
+ Regression
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="8.2" data-path="../../regression/e2006.html">
+
+ <a href="../../regression/e2006.html">
+
+
+ <b>8.2.</b>
+
+ E2006-tfidf regression tutorial
</a>
@@ -1339,12 +1375,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.1.1" data-path="../../regression/e2006_dataset.html">
+ <li class="chapter " data-level="8.2.1" data-path="../../regression/e2006_dataset.html">
<a href="../../regression/e2006_dataset.html">
- <b>8.1.1.</b>
+ <b>8.2.1.</b>
Data preparation
@@ -1354,12 +1390,12 @@
</li>
- <li class="chapter " data-level="8.1.2" data-path="../../regression/e2006_arow.html">
+ <li class="chapter " data-level="8.2.2" data-path="../../regression/e2006_arow.html">
<a href="../../regression/e2006_arow.html">
- <b>8.1.2.</b>
+ <b>8.2.2.</b>
Passive Aggressive, AROW
@@ -1374,14 +1410,14 @@
</li>
- <li class="chapter " data-level="8.2" data-path="../../regression/kddcup12tr2.html">
+ <li class="chapter " data-level="8.3" data-path="../../regression/kddcup12tr2.html">
<a href="../../regression/kddcup12tr2.html">
- <b>8.2.</b>
+ <b>8.3.</b>
- KDDCup 2012 track 2 CTR prediction
+ KDDCup 2012 track 2 CTR prediction tutorial
</a>
@@ -1390,12 +1426,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.2.1" data-path="../../regression/kddcup12tr2_dataset.html">
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<a href="../../regression/kddcup12tr2_dataset.html">
- <b>8.2.1.</b>
+ <b>8.3.1.</b>
Data preparation
@@ -1405,12 +1441,12 @@
</li>
- <li class="chapter " data-level="8.2.2" data-path="../../regression/kddcup12tr2_lr.html">
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<a href="../../regression/kddcup12tr2_lr.html">
- <b>8.2.2.</b>
+ <b>8.3.2.</b>
Logistic Regression, Passive Aggressive
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</li>
- <li class="chapter " data-level="8.2.3" data-path="../../regression/kddcup12tr2_lr_amplify.html">
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<a href="../../regression/kddcup12tr2_lr_amplify.html">
- <b>8.2.3.</b>
+ <b>8.3.3.</b>
Logistic Regression with Amplifier
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</li>
- <li class="chapter " data-level="8.2.4" data-path="../../regression/kddcup12tr2_adagrad.html">
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<a href="../../regression/kddcup12tr2_adagrad.html">
- <b>8.2.4.</b>
+ <b>8.3.4.</b>
AdaGrad, AdaDelta
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- <li class="chapter " data-level="3.5" data-path="../../ft_engineering/tfidf.html">
+ <li class="chapter " data-level="3.5" data-path="../../ft_engineering/pairing.html">
- <a href="../../ft_engineering/tfidf.html">
+ <a href="../../ft_engineering/pairing.html">
<b>3.5.</b>
- TF-IDF Calculation
+ FEATURE PAIRING
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="3.5.1" data-path="../../ft_engineering/polynomial.html">
+
+ <a href="../../ft_engineering/polynomial.html">
+
+
+ <b>3.5.1.</b>
+
+ Polynomial Features
</a>
@@ -613,6 +629,11 @@
</li>
+
+ </ul>
+
+ </li>
+
<li class="chapter " data-level="3.6" data-path="../../ft_engineering/ft_trans.html">
<a href="../../ft_engineering/ft_trans.html">
@@ -664,6 +685,21 @@
</li>
+ <li class="chapter " data-level="3.7" data-path="../../ft_engineering/tfidf.html">
+
+ <a href="../../ft_engineering/tfidf.html">
+
+
+ <b>3.7.</b>
+
+ TF-IDF Calculation
+
+ </a>
+
+
+
+ </li>
+
@@ -761,7 +797,7 @@
- <li class="header">Part V - Prediction</li>
+ <li class="header">Part V - Supervised Learning</li>
@@ -780,27 +816,19 @@
</li>
- <li class="chapter " data-level="5.2" data-path="../../regression/general.html">
-
- <a href="../../regression/general.html">
-
-
- <b>5.2.</b>
-
- Regression
-
- </a>
-
-
- </li>
- <li class="chapter " data-level="5.3" data-path="../../binaryclass/general.html">
+
+ <li class="header">Part VI - Binary classification</li>
+
+
+
+ <li class="chapter " data-level="6.1" data-path="../../binaryclass/general.html">
<a href="../../binaryclass/general.html">
- <b>5.3.</b>
+ <b>6.1.</b>
Binary Classification
@@ -810,21 +838,14 @@
</li>
-
-
-
- <li class="header">Part VI - Binary classification tutorials</li>
-
-
-
- <li class="chapter " data-level="6.1" data-path="../../binaryclass/a9a.html">
+ <li class="chapter " data-level="6.2" data-path="../../binaryclass/a9a.html">
<a href="../../binaryclass/a9a.html">
- <b>6.1.</b>
+ <b>6.2.</b>
- a9a
+ a9a tutorial
</a>
@@ -833,12 +854,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.1.1" data-path="../../binaryclass/a9a_dataset.html">
+ <li class="chapter " data-level="6.2.1" data-path="../../binaryclass/a9a_dataset.html">
<a href="../../binaryclass/a9a_dataset.html">
- <b>6.1.1.</b>
+ <b>6.2.1.</b>
Data preparation
@@ -848,12 +869,12 @@
</li>
- <li class="chapter " data-level="6.1.2" data-path="../../binaryclass/a9a_lr.html">
+ <li class="chapter " data-level="6.2.2" data-path="../../binaryclass/a9a_lr.html">
<a href="../../binaryclass/a9a_lr.html">
- <b>6.1.2.</b>
+ <b>6.2.2.</b>
Logistic Regression
@@ -863,12 +884,12 @@
</li>
- <li class="chapter " data-level="6.1.3" data-path="../../binaryclass/a9a_minibatch.html">
+ <li class="chapter " data-level="6.2.3" data-path="../../binaryclass/a9a_minibatch.html">
<a href="../../binaryclass/a9a_minibatch.html">
- <b>6.1.3.</b>
+ <b>6.2.3.</b>
Mini-batch Gradient Descent
@@ -883,14 +904,14 @@
</li>
- <li class="chapter " data-level="6.2" data-path="../../binaryclass/news20.html">
+ <li class="chapter " data-level="6.3" data-path="../../binaryclass/news20.html">
<a href="../../binaryclass/news20.html">
- <b>6.2.</b>
+ <b>6.3.</b>
- News20
+ News20 tutorial
</a>
@@ -899,12 +920,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.2.1" data-path="../../binaryclass/news20_dataset.html">
+ <li class="chapter " data-level="6.3.1" data-path="../../binaryclass/news20_dataset.html">
<a href="../../binaryclass/news20_dataset.html">
- <b>6.2.1.</b>
+ <b>6.3.1.</b>
Data preparation
@@ -914,12 +935,12 @@
</li>
- <li class="chapter " data-level="6.2.2" data-path="../../binaryclass/news20_pa.html">
+ <li class="chapter " data-level="6.3.2" data-path="../../binaryclass/news20_pa.html">
<a href="../../binaryclass/news20_pa.html">
- <b>6.2.2.</b>
+ <b>6.3.2.</b>
Perceptron, Passive Aggressive
@@ -929,12 +950,12 @@
</li>
- <li class="chapter " data-level="6.2.3" data-path="../../binaryclass/news20_scw.html">
+ <li class="chapter " data-level="6.3.3" data-path="../../binaryclass/news20_scw.html">
<a href="../../binaryclass/news20_scw.html">
- <b>6.2.3.</b>
+ <b>6.3.3.</b>
CW, AROW, SCW
@@ -944,12 +965,12 @@
</li>
- <li class="chapter " data-level="6.2.4" data-path="../../binaryclass/news20_adagrad.html">
+ <li class="chapter " data-level="6.3.4" data-path="../../binaryclass/news20_adagrad.html">
<a href="../../binaryclass/news20_adagrad.html">
- <b>6.2.4.</b>
+ <b>6.3.4.</b>
AdaGradRDA, AdaGrad, AdaDelta
@@ -964,14 +985,14 @@
</li>
- <li class="chapter " data-level="6.3" data-path="../../binaryclass/kdd2010a.html">
+ <li class="chapter " data-level="6.4" data-path="../../binaryclass/kdd2010a.html">
<a href="../../binaryclass/kdd2010a.html">
- <b>6.3.</b>
+ <b>6.4.</b>
- KDD2010a
+ KDD2010a tutorial
</a>
@@ -980,12 +1001,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.3.1" data-path="../../binaryclass/kdd2010a_dataset.html">
+ <li class="chapter " data-level="6.4.1" data-path="../../binaryclass/kdd2010a_dataset.html">
<a href="../../binaryclass/kdd2010a_dataset.html">
- <b>6.3.1.</b>
+ <b>6.4.1.</b>
Data preparation
@@ -995,12 +1016,12 @@
</li>
- <li class="chapter " data-level="6.3.2" data-path="../../binaryclass/kdd2010a_scw.html">
+ <li class="chapter " data-level="6.4.2" data-path="../../binaryclass/kdd2010a_scw.html">
<a href="../../binaryclass/kdd2010a_scw.html">
- <b>6.3.2.</b>
+ <b>6.4.2.</b>
PA, CW, AROW, SCW
@@ -1015,14 +1036,14 @@
</li>
- <li class="chapter " data-level="6.4" data-path="../../binaryclass/kdd2010b.html">
+ <li class="chapter " data-level="6.5" data-path="../../binaryclass/kdd2010b.html">
<a href="../../binaryclass/kdd2010b.html">
- <b>6.4.</b>
+ <b>6.5.</b>
- KDD2010b
+ KDD2010b tutorial
</a>
@@ -1031,12 +1052,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.4.1" data-path="../../binaryclass/kdd2010b_dataset.html">
+ <li class="chapter " data-level="6.5.1" data-path="../../binaryclass/kdd2010b_dataset.html">
<a href="../../binaryclass/kdd2010b_dataset.html">
- <b>6.4.1.</b>
+ <b>6.5.1.</b>
Data preparation
@@ -1046,12 +1067,12 @@
</li>
- <li class="chapter " data-level="6.4.2" data-path="../../binaryclass/kdd2010b_arow.html">
+ <li class="chapter " data-level="6.5.2" data-path="../../binaryclass/kdd2010b_arow.html">
<a href="../../binaryclass/kdd2010b_arow.html">
- <b>6.4.2.</b>
+ <b>6.5.2.</b>
AROW
@@ -1066,14 +1087,14 @@
</li>
- <li class="chapter " data-level="6.5" data-path="../../binaryclass/webspam.html">
+ <li class="chapter " data-level="6.6" data-path="../../binaryclass/webspam.html">
<a href="../../binaryclass/webspam.html">
- <b>6.5.</b>
+ <b>6.6.</b>
- Webspam
+ Webspam tutorial
</a>
@@ -1082,12 +1103,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.5.1" data-path="../../binaryclass/webspam_dataset.html">
+ <li class="chapter " data-level="6.6.1" data-path="../../binaryclass/webspam_dataset.html">
<a href="../../binaryclass/webspam_dataset.html">
- <b>6.5.1.</b>
+ <b>6.6.1.</b>
Data pareparation
@@ -1097,12 +1118,12 @@
</li>
- <li class="chapter " data-level="6.5.2" data-path="../../binaryclass/webspam_scw.html">
+ <li class="chapter " data-level="6.6.2" data-path="../../binaryclass/webspam_scw.html">
<a href="../../binaryclass/webspam_scw.html">
- <b>6.5.2.</b>
+ <b>6.6.2.</b>
PA1, AROW, SCW
@@ -1117,14 +1138,14 @@
</li>
- <li class="chapter " data-level="6.6" data-path="../../binaryclass/titanic_rf.html">
+ <li class="chapter " data-level="6.7" data-path="../../binaryclass/titanic_rf.html">
<a href="../../binaryclass/titanic_rf.html">
- <b>6.6.</b>
+ <b>6.7.</b>
- Kaggle Titanic
+ Kaggle Titanic tutorial
</a>
@@ -1135,7 +1156,7 @@
- <li class="header">Part VII - Multiclass classification tutorials</li>
+ <li class="header">Part VII - Multiclass classification</li>
@@ -1146,7 +1167,7 @@
<b>7.1.</b>
- News20 Multiclass
+ News20 Multiclass tutorial
</a>
@@ -1257,7 +1278,7 @@
<b>7.2.</b>
- Iris
+ Iris tutorial
</a>
@@ -1319,18 +1340,33 @@
- <li class="header">Part VIII - Regression tutorials</li>
+ <li class="header">Part VIII - Regression</li>
- <li class="chapter " data-level="8.1" data-path="../../regression/e2006.html">
+ <li class="chapter " data-level="8.1" data-path="../../regression/general.html">
- <a href="../../regression/e2006.html">
+ <a href="../../regression/general.html">
<b>8.1.</b>
- E2006-tfidf regression
+ Regression
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="8.2" data-path="../../regression/e2006.html">
+
+ <a href="../../regression/e2006.html">
+
+
+ <b>8.2.</b>
+
+ E2006-tfidf regression tutorial
</a>
@@ -1339,12 +1375,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.1.1" data-path="../../regression/e2006_dataset.html">
+ <li class="chapter " data-level="8.2.1" data-path="../../regression/e2006_dataset.html">
<a href="../../regression/e2006_dataset.html">
- <b>8.1.1.</b>
+ <b>8.2.1.</b>
Data preparation
@@ -1354,12 +1390,12 @@
</li>
- <li class="chapter " data-level="8.1.2" data-path="../../regression/e2006_arow.html">
+ <li class="chapter " data-level="8.2.2" data-path="../../regression/e2006_arow.html">
<a href="../../regression/e2006_arow.html">
- <b>8.1.2.</b>
+ <b>8.2.2.</b>
Passive Aggressive, AROW
@@ -1374,14 +1410,14 @@
</li>
- <li class="chapter " data-level="8.2" data-path="../../regression/kddcup12tr2.html">
+ <li class="chapter " data-level="8.3" data-path="../../regression/kddcup12tr2.html">
<a href="../../regression/kddcup12tr2.html">
- <b>8.2.</b>
+ <b>8.3.</b>
- KDDCup 2012 track 2 CTR prediction
+ KDDCup 2012 track 2 CTR prediction tutorial
</a>
@@ -1390,12 +1426,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.2.1" data-path="../../regression/kddcup12tr2_dataset.html">
+ <li class="chapter " data-level="8.3.1" data-path="../../regression/kddcup12tr2_dataset.html">
<a href="../../regression/kddcup12tr2_dataset.html">
- <b>8.2.1.</b>
+ <b>8.3.1.</b>
Data preparation
@@ -1405,12 +1441,12 @@
</li>
- <li class="chapter " data-level="8.2.2" data-path="../../regression/kddcup12tr2_lr.html">
+ <li class="chapter " data-level="8.3.2" data-path="../../regression/kddcup12tr2_lr.html">
<a href="../../regression/kddcup12tr2_lr.html">
- <b>8.2.2.</b>
+ <b>8.3.2.</b>
Logistic Regression, Passive Aggressive
@@ -1420,12 +1456,12 @@
</li>
- <li class="chapter " data-level="8.2.3" data-path="../../regression/kddcup12tr2_lr_amplify.html">
+ <li class="chapter " data-level="8.3.3" data-path="../../regression/kddcup12tr2_lr_amplify.html">
<a href="../../regression/kddcup12tr2_lr_amplify.html">
- <b>8.2.3.</b>
+ <b>8.3.3.</b>
Logistic Regression with Amplifier
@@ -1435,12 +1471,12 @@
</li>
- <li class="chapter " data-level="8.2.4" data-path="../../regression/kddcup12tr2_adagrad.html">
+ <li class="chapter " data-level="8.3.4" data-path="../../regression/kddcup12tr2_adagrad.html">
<a href="../../regression/kddcup12tr2_adagrad.html">
- <b>8.2.4.</b>
+ <b>8.3.4.</b>
AdaGrad, AdaDelta
@@ -2129,7 +2165,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
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[27/41] incubator-hivemall-site git commit: Added descriptions about
Feature Pairing in the user guide
Posted by my...@apache.org.
http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/ba518dab/userguide/ft_engineering/scaling.html
----------------------------------------------------------------------
diff --git a/userguide/ft_engineering/scaling.html b/userguide/ft_engineering/scaling.html
index 9c9b672..5d5bdfa 100644
--- a/userguide/ft_engineering/scaling.html
+++ b/userguide/ft_engineering/scaling.html
@@ -598,14 +598,30 @@
</li>
- <li class="chapter " data-level="3.5" data-path="tfidf.html">
+ <li class="chapter " data-level="3.5" data-path="pairing.html">
- <a href="tfidf.html">
+ <a href="pairing.html">
<b>3.5.</b>
- TF-IDF Calculation
+ FEATURE PAIRING
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="3.5.1" data-path="polynomial.html">
+
+ <a href="polynomial.html">
+
+
+ <b>3.5.1.</b>
+
+ Polynomial Features
</a>
@@ -613,6 +629,11 @@
</li>
+
+ </ul>
+
+ </li>
+
<li class="chapter " data-level="3.6" data-path="ft_trans.html">
<a href="ft_trans.html">
@@ -664,6 +685,21 @@
</li>
+ <li class="chapter " data-level="3.7" data-path="tfidf.html">
+
+ <a href="tfidf.html">
+
+
+ <b>3.7.</b>
+
+ TF-IDF Calculation
+
+ </a>
+
+
+
+ </li>
+
@@ -761,7 +797,7 @@
- <li class="header">Part V - Prediction</li>
+ <li class="header">Part V - Supervised Learning</li>
@@ -780,27 +816,19 @@
</li>
- <li class="chapter " data-level="5.2" data-path="../regression/general.html">
-
- <a href="../regression/general.html">
-
-
- <b>5.2.</b>
-
- Regression
-
- </a>
-
-
- </li>
- <li class="chapter " data-level="5.3" data-path="../binaryclass/general.html">
+
+ <li class="header">Part VI - Binary classification</li>
+
+
+
+ <li class="chapter " data-level="6.1" data-path="../binaryclass/general.html">
<a href="../binaryclass/general.html">
- <b>5.3.</b>
+ <b>6.1.</b>
Binary Classification
@@ -810,21 +838,14 @@
</li>
-
-
-
- <li class="header">Part VI - Binary classification tutorials</li>
-
-
-
- <li class="chapter " data-level="6.1" data-path="../binaryclass/a9a.html">
+ <li class="chapter " data-level="6.2" data-path="../binaryclass/a9a.html">
<a href="../binaryclass/a9a.html">
- <b>6.1.</b>
+ <b>6.2.</b>
- a9a
+ a9a tutorial
</a>
@@ -833,12 +854,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.1.1" data-path="../binaryclass/a9a_dataset.html">
+ <li class="chapter " data-level="6.2.1" data-path="../binaryclass/a9a_dataset.html">
<a href="../binaryclass/a9a_dataset.html">
- <b>6.1.1.</b>
+ <b>6.2.1.</b>
Data preparation
@@ -848,12 +869,12 @@
</li>
- <li class="chapter " data-level="6.1.2" data-path="../binaryclass/a9a_lr.html">
+ <li class="chapter " data-level="6.2.2" data-path="../binaryclass/a9a_lr.html">
<a href="../binaryclass/a9a_lr.html">
- <b>6.1.2.</b>
+ <b>6.2.2.</b>
Logistic Regression
@@ -863,12 +884,12 @@
</li>
- <li class="chapter " data-level="6.1.3" data-path="../binaryclass/a9a_minibatch.html">
+ <li class="chapter " data-level="6.2.3" data-path="../binaryclass/a9a_minibatch.html">
<a href="../binaryclass/a9a_minibatch.html">
- <b>6.1.3.</b>
+ <b>6.2.3.</b>
Mini-batch Gradient Descent
@@ -883,14 +904,14 @@
</li>
- <li class="chapter " data-level="6.2" data-path="../binaryclass/news20.html">
+ <li class="chapter " data-level="6.3" data-path="../binaryclass/news20.html">
<a href="../binaryclass/news20.html">
- <b>6.2.</b>
+ <b>6.3.</b>
- News20
+ News20 tutorial
</a>
@@ -899,12 +920,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.2.1" data-path="../binaryclass/news20_dataset.html">
+ <li class="chapter " data-level="6.3.1" data-path="../binaryclass/news20_dataset.html">
<a href="../binaryclass/news20_dataset.html">
- <b>6.2.1.</b>
+ <b>6.3.1.</b>
Data preparation
@@ -914,12 +935,12 @@
</li>
- <li class="chapter " data-level="6.2.2" data-path="../binaryclass/news20_pa.html">
+ <li class="chapter " data-level="6.3.2" data-path="../binaryclass/news20_pa.html">
<a href="../binaryclass/news20_pa.html">
- <b>6.2.2.</b>
+ <b>6.3.2.</b>
Perceptron, Passive Aggressive
@@ -929,12 +950,12 @@
</li>
- <li class="chapter " data-level="6.2.3" data-path="../binaryclass/news20_scw.html">
+ <li class="chapter " data-level="6.3.3" data-path="../binaryclass/news20_scw.html">
<a href="../binaryclass/news20_scw.html">
- <b>6.2.3.</b>
+ <b>6.3.3.</b>
CW, AROW, SCW
@@ -944,12 +965,12 @@
</li>
- <li class="chapter " data-level="6.2.4" data-path="../binaryclass/news20_adagrad.html">
+ <li class="chapter " data-level="6.3.4" data-path="../binaryclass/news20_adagrad.html">
<a href="../binaryclass/news20_adagrad.html">
- <b>6.2.4.</b>
+ <b>6.3.4.</b>
AdaGradRDA, AdaGrad, AdaDelta
@@ -964,14 +985,14 @@
</li>
- <li class="chapter " data-level="6.3" data-path="../binaryclass/kdd2010a.html">
+ <li class="chapter " data-level="6.4" data-path="../binaryclass/kdd2010a.html">
<a href="../binaryclass/kdd2010a.html">
- <b>6.3.</b>
+ <b>6.4.</b>
- KDD2010a
+ KDD2010a tutorial
</a>
@@ -980,12 +1001,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.3.1" data-path="../binaryclass/kdd2010a_dataset.html">
+ <li class="chapter " data-level="6.4.1" data-path="../binaryclass/kdd2010a_dataset.html">
<a href="../binaryclass/kdd2010a_dataset.html">
- <b>6.3.1.</b>
+ <b>6.4.1.</b>
Data preparation
@@ -995,12 +1016,12 @@
</li>
- <li class="chapter " data-level="6.3.2" data-path="../binaryclass/kdd2010a_scw.html">
+ <li class="chapter " data-level="6.4.2" data-path="../binaryclass/kdd2010a_scw.html">
<a href="../binaryclass/kdd2010a_scw.html">
- <b>6.3.2.</b>
+ <b>6.4.2.</b>
PA, CW, AROW, SCW
@@ -1015,14 +1036,14 @@
</li>
- <li class="chapter " data-level="6.4" data-path="../binaryclass/kdd2010b.html">
+ <li class="chapter " data-level="6.5" data-path="../binaryclass/kdd2010b.html">
<a href="../binaryclass/kdd2010b.html">
- <b>6.4.</b>
+ <b>6.5.</b>
- KDD2010b
+ KDD2010b tutorial
</a>
@@ -1031,12 +1052,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.4.1" data-path="../binaryclass/kdd2010b_dataset.html">
+ <li class="chapter " data-level="6.5.1" data-path="../binaryclass/kdd2010b_dataset.html">
<a href="../binaryclass/kdd2010b_dataset.html">
- <b>6.4.1.</b>
+ <b>6.5.1.</b>
Data preparation
@@ -1046,12 +1067,12 @@
</li>
- <li class="chapter " data-level="6.4.2" data-path="../binaryclass/kdd2010b_arow.html">
+ <li class="chapter " data-level="6.5.2" data-path="../binaryclass/kdd2010b_arow.html">
<a href="../binaryclass/kdd2010b_arow.html">
- <b>6.4.2.</b>
+ <b>6.5.2.</b>
AROW
@@ -1066,14 +1087,14 @@
</li>
- <li class="chapter " data-level="6.5" data-path="../binaryclass/webspam.html">
+ <li class="chapter " data-level="6.6" data-path="../binaryclass/webspam.html">
<a href="../binaryclass/webspam.html">
- <b>6.5.</b>
+ <b>6.6.</b>
- Webspam
+ Webspam tutorial
</a>
@@ -1082,12 +1103,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.5.1" data-path="../binaryclass/webspam_dataset.html">
+ <li class="chapter " data-level="6.6.1" data-path="../binaryclass/webspam_dataset.html">
<a href="../binaryclass/webspam_dataset.html">
- <b>6.5.1.</b>
+ <b>6.6.1.</b>
Data pareparation
@@ -1097,12 +1118,12 @@
</li>
- <li class="chapter " data-level="6.5.2" data-path="../binaryclass/webspam_scw.html">
+ <li class="chapter " data-level="6.6.2" data-path="../binaryclass/webspam_scw.html">
<a href="../binaryclass/webspam_scw.html">
- <b>6.5.2.</b>
+ <b>6.6.2.</b>
PA1, AROW, SCW
@@ -1117,14 +1138,14 @@
</li>
- <li class="chapter " data-level="6.6" data-path="../binaryclass/titanic_rf.html">
+ <li class="chapter " data-level="6.7" data-path="../binaryclass/titanic_rf.html">
<a href="../binaryclass/titanic_rf.html">
- <b>6.6.</b>
+ <b>6.7.</b>
- Kaggle Titanic
+ Kaggle Titanic tutorial
</a>
@@ -1135,7 +1156,7 @@
- <li class="header">Part VII - Multiclass classification tutorials</li>
+ <li class="header">Part VII - Multiclass classification</li>
@@ -1146,7 +1167,7 @@
<b>7.1.</b>
- News20 Multiclass
+ News20 Multiclass tutorial
</a>
@@ -1257,7 +1278,7 @@
<b>7.2.</b>
- Iris
+ Iris tutorial
</a>
@@ -1319,18 +1340,33 @@
- <li class="header">Part VIII - Regression tutorials</li>
+ <li class="header">Part VIII - Regression</li>
- <li class="chapter " data-level="8.1" data-path="../regression/e2006.html">
+ <li class="chapter " data-level="8.1" data-path="../regression/general.html">
- <a href="../regression/e2006.html">
+ <a href="../regression/general.html">
<b>8.1.</b>
- E2006-tfidf regression
+ Regression
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="8.2" data-path="../regression/e2006.html">
+
+ <a href="../regression/e2006.html">
+
+
+ <b>8.2.</b>
+
+ E2006-tfidf regression tutorial
</a>
@@ -1339,12 +1375,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.1.1" data-path="../regression/e2006_dataset.html">
+ <li class="chapter " data-level="8.2.1" data-path="../regression/e2006_dataset.html">
<a href="../regression/e2006_dataset.html">
- <b>8.1.1.</b>
+ <b>8.2.1.</b>
Data preparation
@@ -1354,12 +1390,12 @@
</li>
- <li class="chapter " data-level="8.1.2" data-path="../regression/e2006_arow.html">
+ <li class="chapter " data-level="8.2.2" data-path="../regression/e2006_arow.html">
<a href="../regression/e2006_arow.html">
- <b>8.1.2.</b>
+ <b>8.2.2.</b>
Passive Aggressive, AROW
@@ -1374,14 +1410,14 @@
</li>
- <li class="chapter " data-level="8.2" data-path="../regression/kddcup12tr2.html">
+ <li class="chapter " data-level="8.3" data-path="../regression/kddcup12tr2.html">
<a href="../regression/kddcup12tr2.html">
- <b>8.2.</b>
+ <b>8.3.</b>
- KDDCup 2012 track 2 CTR prediction
+ KDDCup 2012 track 2 CTR prediction tutorial
</a>
@@ -1390,12 +1426,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.2.1" data-path="../regression/kddcup12tr2_dataset.html">
+ <li class="chapter " data-level="8.3.1" data-path="../regression/kddcup12tr2_dataset.html">
<a href="../regression/kddcup12tr2_dataset.html">
- <b>8.2.1.</b>
+ <b>8.3.1.</b>
Data preparation
@@ -1405,12 +1441,12 @@
</li>
- <li class="chapter " data-level="8.2.2" data-path="../regression/kddcup12tr2_lr.html">
+ <li class="chapter " data-level="8.3.2" data-path="../regression/kddcup12tr2_lr.html">
<a href="../regression/kddcup12tr2_lr.html">
- <b>8.2.2.</b>
+ <b>8.3.2.</b>
Logistic Regression, Passive Aggressive
@@ -1420,12 +1456,12 @@
</li>
- <li class="chapter " data-level="8.2.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
+ <li class="chapter " data-level="8.3.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
<a href="../regression/kddcup12tr2_lr_amplify.html">
- <b>8.2.3.</b>
+ <b>8.3.3.</b>
Logistic Regression with Amplifier
@@ -1435,12 +1471,12 @@
</li>
- <li class="chapter " data-level="8.2.4" data-path="../regression/kddcup12tr2_adagrad.html">
+ <li class="chapter " data-level="8.3.4" data-path="../regression/kddcup12tr2_adagrad.html">
<a href="../regression/kddcup12tr2_adagrad.html">
- <b>8.2.4.</b>
+ <b>8.3.4.</b>
AdaGrad, AdaDelta
@@ -2291,7 +2327,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
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----------------------------------------------------------------------
diff --git a/userguide/ft_engineering/selection.html b/userguide/ft_engineering/selection.html
index f117cb4..b1e8d13 100644
--- a/userguide/ft_engineering/selection.html
+++ b/userguide/ft_engineering/selection.html
@@ -598,14 +598,30 @@
</li>
- <li class="chapter " data-level="3.5" data-path="tfidf.html">
+ <li class="chapter " data-level="3.5" data-path="pairing.html">
- <a href="tfidf.html">
+ <a href="pairing.html">
<b>3.5.</b>
- TF-IDF Calculation
+ FEATURE PAIRING
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="3.5.1" data-path="polynomial.html">
+
+ <a href="polynomial.html">
+
+
+ <b>3.5.1.</b>
+
+ Polynomial Features
</a>
@@ -613,6 +629,11 @@
</li>
+
+ </ul>
+
+ </li>
+
<li class="chapter " data-level="3.6" data-path="ft_trans.html">
<a href="ft_trans.html">
@@ -664,6 +685,21 @@
</li>
+ <li class="chapter " data-level="3.7" data-path="tfidf.html">
+
+ <a href="tfidf.html">
+
+
+ <b>3.7.</b>
+
+ TF-IDF Calculation
+
+ </a>
+
+
+
+ </li>
+
@@ -761,7 +797,7 @@
- <li class="header">Part V - Prediction</li>
+ <li class="header">Part V - Supervised Learning</li>
@@ -780,27 +816,19 @@
</li>
- <li class="chapter " data-level="5.2" data-path="../regression/general.html">
-
- <a href="../regression/general.html">
-
-
- <b>5.2.</b>
-
- Regression
-
- </a>
-
-
- </li>
- <li class="chapter " data-level="5.3" data-path="../binaryclass/general.html">
+
+ <li class="header">Part VI - Binary classification</li>
+
+
+
+ <li class="chapter " data-level="6.1" data-path="../binaryclass/general.html">
<a href="../binaryclass/general.html">
- <b>5.3.</b>
+ <b>6.1.</b>
Binary Classification
@@ -810,21 +838,14 @@
</li>
-
-
-
- <li class="header">Part VI - Binary classification tutorials</li>
-
-
-
- <li class="chapter " data-level="6.1" data-path="../binaryclass/a9a.html">
+ <li class="chapter " data-level="6.2" data-path="../binaryclass/a9a.html">
<a href="../binaryclass/a9a.html">
- <b>6.1.</b>
+ <b>6.2.</b>
- a9a
+ a9a tutorial
</a>
@@ -833,12 +854,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.1.1" data-path="../binaryclass/a9a_dataset.html">
+ <li class="chapter " data-level="6.2.1" data-path="../binaryclass/a9a_dataset.html">
<a href="../binaryclass/a9a_dataset.html">
- <b>6.1.1.</b>
+ <b>6.2.1.</b>
Data preparation
@@ -848,12 +869,12 @@
</li>
- <li class="chapter " data-level="6.1.2" data-path="../binaryclass/a9a_lr.html">
+ <li class="chapter " data-level="6.2.2" data-path="../binaryclass/a9a_lr.html">
<a href="../binaryclass/a9a_lr.html">
- <b>6.1.2.</b>
+ <b>6.2.2.</b>
Logistic Regression
@@ -863,12 +884,12 @@
</li>
- <li class="chapter " data-level="6.1.3" data-path="../binaryclass/a9a_minibatch.html">
+ <li class="chapter " data-level="6.2.3" data-path="../binaryclass/a9a_minibatch.html">
<a href="../binaryclass/a9a_minibatch.html">
- <b>6.1.3.</b>
+ <b>6.2.3.</b>
Mini-batch Gradient Descent
@@ -883,14 +904,14 @@
</li>
- <li class="chapter " data-level="6.2" data-path="../binaryclass/news20.html">
+ <li class="chapter " data-level="6.3" data-path="../binaryclass/news20.html">
<a href="../binaryclass/news20.html">
- <b>6.2.</b>
+ <b>6.3.</b>
- News20
+ News20 tutorial
</a>
@@ -899,12 +920,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.2.1" data-path="../binaryclass/news20_dataset.html">
+ <li class="chapter " data-level="6.3.1" data-path="../binaryclass/news20_dataset.html">
<a href="../binaryclass/news20_dataset.html">
- <b>6.2.1.</b>
+ <b>6.3.1.</b>
Data preparation
@@ -914,12 +935,12 @@
</li>
- <li class="chapter " data-level="6.2.2" data-path="../binaryclass/news20_pa.html">
+ <li class="chapter " data-level="6.3.2" data-path="../binaryclass/news20_pa.html">
<a href="../binaryclass/news20_pa.html">
- <b>6.2.2.</b>
+ <b>6.3.2.</b>
Perceptron, Passive Aggressive
@@ -929,12 +950,12 @@
</li>
- <li class="chapter " data-level="6.2.3" data-path="../binaryclass/news20_scw.html">
+ <li class="chapter " data-level="6.3.3" data-path="../binaryclass/news20_scw.html">
<a href="../binaryclass/news20_scw.html">
- <b>6.2.3.</b>
+ <b>6.3.3.</b>
CW, AROW, SCW
@@ -944,12 +965,12 @@
</li>
- <li class="chapter " data-level="6.2.4" data-path="../binaryclass/news20_adagrad.html">
+ <li class="chapter " data-level="6.3.4" data-path="../binaryclass/news20_adagrad.html">
<a href="../binaryclass/news20_adagrad.html">
- <b>6.2.4.</b>
+ <b>6.3.4.</b>
AdaGradRDA, AdaGrad, AdaDelta
@@ -964,14 +985,14 @@
</li>
- <li class="chapter " data-level="6.3" data-path="../binaryclass/kdd2010a.html">
+ <li class="chapter " data-level="6.4" data-path="../binaryclass/kdd2010a.html">
<a href="../binaryclass/kdd2010a.html">
- <b>6.3.</b>
+ <b>6.4.</b>
- KDD2010a
+ KDD2010a tutorial
</a>
@@ -980,12 +1001,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.3.1" data-path="../binaryclass/kdd2010a_dataset.html">
+ <li class="chapter " data-level="6.4.1" data-path="../binaryclass/kdd2010a_dataset.html">
<a href="../binaryclass/kdd2010a_dataset.html">
- <b>6.3.1.</b>
+ <b>6.4.1.</b>
Data preparation
@@ -995,12 +1016,12 @@
</li>
- <li class="chapter " data-level="6.3.2" data-path="../binaryclass/kdd2010a_scw.html">
+ <li class="chapter " data-level="6.4.2" data-path="../binaryclass/kdd2010a_scw.html">
<a href="../binaryclass/kdd2010a_scw.html">
- <b>6.3.2.</b>
+ <b>6.4.2.</b>
PA, CW, AROW, SCW
@@ -1015,14 +1036,14 @@
</li>
- <li class="chapter " data-level="6.4" data-path="../binaryclass/kdd2010b.html">
+ <li class="chapter " data-level="6.5" data-path="../binaryclass/kdd2010b.html">
<a href="../binaryclass/kdd2010b.html">
- <b>6.4.</b>
+ <b>6.5.</b>
- KDD2010b
+ KDD2010b tutorial
</a>
@@ -1031,12 +1052,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.4.1" data-path="../binaryclass/kdd2010b_dataset.html">
+ <li class="chapter " data-level="6.5.1" data-path="../binaryclass/kdd2010b_dataset.html">
<a href="../binaryclass/kdd2010b_dataset.html">
- <b>6.4.1.</b>
+ <b>6.5.1.</b>
Data preparation
@@ -1046,12 +1067,12 @@
</li>
- <li class="chapter " data-level="6.4.2" data-path="../binaryclass/kdd2010b_arow.html">
+ <li class="chapter " data-level="6.5.2" data-path="../binaryclass/kdd2010b_arow.html">
<a href="../binaryclass/kdd2010b_arow.html">
- <b>6.4.2.</b>
+ <b>6.5.2.</b>
AROW
@@ -1066,14 +1087,14 @@
</li>
- <li class="chapter " data-level="6.5" data-path="../binaryclass/webspam.html">
+ <li class="chapter " data-level="6.6" data-path="../binaryclass/webspam.html">
<a href="../binaryclass/webspam.html">
- <b>6.5.</b>
+ <b>6.6.</b>
- Webspam
+ Webspam tutorial
</a>
@@ -1082,12 +1103,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.5.1" data-path="../binaryclass/webspam_dataset.html">
+ <li class="chapter " data-level="6.6.1" data-path="../binaryclass/webspam_dataset.html">
<a href="../binaryclass/webspam_dataset.html">
- <b>6.5.1.</b>
+ <b>6.6.1.</b>
Data pareparation
@@ -1097,12 +1118,12 @@
</li>
- <li class="chapter " data-level="6.5.2" data-path="../binaryclass/webspam_scw.html">
+ <li class="chapter " data-level="6.6.2" data-path="../binaryclass/webspam_scw.html">
<a href="../binaryclass/webspam_scw.html">
- <b>6.5.2.</b>
+ <b>6.6.2.</b>
PA1, AROW, SCW
@@ -1117,14 +1138,14 @@
</li>
- <li class="chapter " data-level="6.6" data-path="../binaryclass/titanic_rf.html">
+ <li class="chapter " data-level="6.7" data-path="../binaryclass/titanic_rf.html">
<a href="../binaryclass/titanic_rf.html">
- <b>6.6.</b>
+ <b>6.7.</b>
- Kaggle Titanic
+ Kaggle Titanic tutorial
</a>
@@ -1135,7 +1156,7 @@
- <li class="header">Part VII - Multiclass classification tutorials</li>
+ <li class="header">Part VII - Multiclass classification</li>
@@ -1146,7 +1167,7 @@
<b>7.1.</b>
- News20 Multiclass
+ News20 Multiclass tutorial
</a>
@@ -1257,7 +1278,7 @@
<b>7.2.</b>
- Iris
+ Iris tutorial
</a>
@@ -1319,18 +1340,33 @@
- <li class="header">Part VIII - Regression tutorials</li>
+ <li class="header">Part VIII - Regression</li>
- <li class="chapter " data-level="8.1" data-path="../regression/e2006.html">
+ <li class="chapter " data-level="8.1" data-path="../regression/general.html">
- <a href="../regression/e2006.html">
+ <a href="../regression/general.html">
<b>8.1.</b>
- E2006-tfidf regression
+ Regression
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="8.2" data-path="../regression/e2006.html">
+
+ <a href="../regression/e2006.html">
+
+
+ <b>8.2.</b>
+
+ E2006-tfidf regression tutorial
</a>
@@ -1339,12 +1375,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.1.1" data-path="../regression/e2006_dataset.html">
+ <li class="chapter " data-level="8.2.1" data-path="../regression/e2006_dataset.html">
<a href="../regression/e2006_dataset.html">
- <b>8.1.1.</b>
+ <b>8.2.1.</b>
Data preparation
@@ -1354,12 +1390,12 @@
</li>
- <li class="chapter " data-level="8.1.2" data-path="../regression/e2006_arow.html">
+ <li class="chapter " data-level="8.2.2" data-path="../regression/e2006_arow.html">
<a href="../regression/e2006_arow.html">
- <b>8.1.2.</b>
+ <b>8.2.2.</b>
Passive Aggressive, AROW
@@ -1374,14 +1410,14 @@
</li>
- <li class="chapter " data-level="8.2" data-path="../regression/kddcup12tr2.html">
+ <li class="chapter " data-level="8.3" data-path="../regression/kddcup12tr2.html">
<a href="../regression/kddcup12tr2.html">
- <b>8.2.</b>
+ <b>8.3.</b>
- KDDCup 2012 track 2 CTR prediction
+ KDDCup 2012 track 2 CTR prediction tutorial
</a>
@@ -1390,12 +1426,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.2.1" data-path="../regression/kddcup12tr2_dataset.html">
+ <li class="chapter " data-level="8.3.1" data-path="../regression/kddcup12tr2_dataset.html">
<a href="../regression/kddcup12tr2_dataset.html">
- <b>8.2.1.</b>
+ <b>8.3.1.</b>
Data preparation
@@ -1405,12 +1441,12 @@
</li>
- <li class="chapter " data-level="8.2.2" data-path="../regression/kddcup12tr2_lr.html">
+ <li class="chapter " data-level="8.3.2" data-path="../regression/kddcup12tr2_lr.html">
<a href="../regression/kddcup12tr2_lr.html">
- <b>8.2.2.</b>
+ <b>8.3.2.</b>
Logistic Regression, Passive Aggressive
@@ -1420,12 +1456,12 @@
</li>
- <li class="chapter " data-level="8.2.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
+ <li class="chapter " data-level="8.3.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
<a href="../regression/kddcup12tr2_lr_amplify.html">
- <b>8.2.3.</b>
+ <b>8.3.3.</b>
Logistic Regression with Amplifier
@@ -1435,12 +1471,12 @@
</li>
- <li class="chapter " data-level="8.2.4" data-path="../regression/kddcup12tr2_adagrad.html">
+ <li class="chapter " data-level="8.3.4" data-path="../regression/kddcup12tr2_adagrad.html">
<a href="../regression/kddcup12tr2_adagrad.html">
- <b>8.2.4.</b>
+ <b>8.3.4.</b>
AdaGrad, AdaDelta
@@ -2099,11 +2135,11 @@
<h1 id="supported-feature-selection-algorithms">Supported Feature Selection algorithms</h1>
<ul>
<li>Chi-square (Chi2)<ul>
-<li>In statistics, the <span class="katex"><span class="katex-mathml"><math><semantics><mrow><msup><mi>χ</mi><mn>2</mn></msup></mrow><annotation encoding="application/x-tex">\chi^2</annotation></semantics></math></span><span class="katex-html" aria-hidden="true"><span class="strut" style="height:0.8141079999999999em;"></span><span class="strut bottom" style="height:1.008548em;vertical-align:-0.19444em;"></span><span class="base textstyle uncramped"><span class="mord"><span class="mord mathit">χ</span><span class="msupsub"><span class="vlist"><span style="top:-0.363em;margin-right:0.05em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="reset-textstyle scriptstyle uncramped mtight"><span class="mord mathrm mtight">2</span></span></span><span class="baseline-fix"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span>​</span></span></span></span></span></spa
n></span> test is applied to test the independence of two even events. Chi-square statistics between every feature variable and the target variable can be applied to Feature Selection. Refer <a href="http://nlp.stanford.edu/IR-book/html/htmledition/feature-selectionchi2-feature-selection-1.html" target="_blank">this article</a> for Mathematical details.</li>
+<li>In statistics, the <span class="katex"><span class="katex-mathml"><math><semantics><mrow><msup><mi>χ</mi><mn>2</mn></msup></mrow><annotation encoding="application/x-tex">\chi^2</annotation></semantics></math></span><span class="katex-html" aria-hidden="true"><span class="strut" style="height:0.8141079999999999em;"></span><span class="strut bottom" style="height:1.008548em;vertical-align:-0.19444em;"></span><span class="base textstyle uncramped"><span class="mord"><span class="mord mathit">χ</span><span class="vlist"><span style="top:-0.363em;margin-right:0.05em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="reset-textstyle scriptstyle uncramped"><span class="mord mathrm">2</span></span></span><span class="baseline-fix"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span>​</span></span></span></span></span></span> test is applied to test the indep
endence of two even events. Chi-square statistics between every feature variable and the target variable can be applied to Feature Selection. Refer <a href="http://nlp.stanford.edu/IR-book/html/htmledition/feature-selectionchi2-feature-selection-1.html" target="_blank">this article</a> for Mathematical details.</li>
</ul>
</li>
<li>Signal Noise Ratio (SNR)<ul>
-<li>The Signal Noise Ratio (SNR) is a univariate feature ranking metric, which can be used as a feature selection criterion for binary classification problems. SNR is defined as <span class="katex"><span class="katex-mathml"><math><semantics><mrow><mi mathvariant="normal">∣</mi><msub><mi>μ</mi><mrow><mn>1</mn></mrow></msub><mo>−</mo><msub><mi>μ</mi><mrow><mn>2</mn></mrow></msub><mi mathvariant="normal">∣</mi><mi mathvariant="normal">/</mi><mo>(</mo><msub><mi>σ</mi><mrow><mn>1</mn></mrow></msub><mo>+</mo><msub><mi>σ</mi><mrow><mn>2</mn></mrow></msub><mo>)</mo></mrow><annotation encoding="application/x-tex">|\mu_{1} - \mu_{2}| / (\sigma_{1} + \sigma_{2})</annotation></semantics></math></span><span class="katex-html" aria-hidden="true"><span class="strut" style="height:0.75em;"></span><span class="strut bottom" style="height:1em;vertical-align:-0.25em;"></span><span class="base textstyle uncramped"><span class="mord mathrm">∣</span><s
pan class="mord"><span class="mord mathit">μ</span><span class="msupsub"><span class="vlist"><span style="top:0.15em;margin-right:0.05em;margin-left:0em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="reset-textstyle scriptstyle cramped mtight"><span class="mord scriptstyle cramped mtight"><span class="mord mathrm mtight">1</span></span></span></span><span class="baseline-fix"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span>​</span></span></span></span><span class="mbin">−</span><span class="mord"><span class="mord mathit">μ</span><span class="msupsub"><span class="vlist"><span style="top:0.15em;margin-right:0.05em;margin-left:0em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="reset-textstyle scriptstyle cramped mtight"><span class="mord scriptstyle cramped mtight"><span cl
ass="mord mathrm mtight">2</span></span></span></span><span class="baseline-fix"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span>​</span></span></span></span><span class="mord mathrm">∣</span><span class="mord mathrm">/</span><span class="mopen">(</span><span class="mord"><span class="mord mathit" style="margin-right:0.03588em;">σ</span><span class="msupsub"><span class="vlist"><span style="top:0.15em;margin-right:0.05em;margin-left:-0.03588em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="reset-textstyle scriptstyle cramped mtight"><span class="mord scriptstyle cramped mtight"><span class="mord mathrm mtight">1</span></span></span></span><span class="baseline-fix"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span>​</span></span></span></span><span class="mbin">+</span><span class="mord"><
span class="mord mathit" style="margin-right:0.03588em;">σ</span><span class="msupsub"><span class="vlist"><span style="top:0.15em;margin-right:0.05em;margin-left:-0.03588em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="reset-textstyle scriptstyle cramped mtight"><span class="mord scriptstyle cramped mtight"><span class="mord mathrm mtight">2</span></span></span></span><span class="baseline-fix"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span>​</span></span></span></span><span class="mclose">)</span></span></span></span>, where <span class="katex"><span class="katex-mathml"><math><semantics><mrow><msub><mi>μ</mi><mrow><mi>k</mi></mrow></msub></mrow><annotation encoding="application/x-tex">\mu_{k}</annotation></semantics></math></span><span class="katex-html" aria-hidden="true"><span class="strut" style="height:0.43056em;"></span><span class="str
ut bottom" style="height:0.625em;vertical-align:-0.19444em;"></span><span class="base textstyle uncramped"><span class="mord"><span class="mord mathit">μ</span><span class="msupsub"><span class="vlist"><span style="top:0.15em;margin-right:0.05em;margin-left:0em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="reset-textstyle scriptstyle cramped mtight"><span class="mord scriptstyle cramped mtight"><span class="mord mathit mtight" style="margin-right:0.03148em;">k</span></span></span></span><span class="baseline-fix"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span>​</span></span></span></span></span></span></span> is the mean value of the variable in classes <span class="katex"><span class="katex-mathml"><math><semantics><mrow><mi>k</mi></mrow><annotation encoding="application/x-tex">k</annotation></semantics></math></span><span class="katex-html" aria-hi
dden="true"><span class="strut" style="height:0.69444em;"></span><span class="strut bottom" style="height:0.69444em;vertical-align:0em;"></span><span class="base textstyle uncramped"><span class="mord mathit" style="margin-right:0.03148em;">k</span></span></span></span>, and <span class="katex"><span class="katex-mathml"><math><semantics><mrow><msub><mi>σ</mi><mrow><mi>k</mi></mrow></msub></mrow><annotation encoding="application/x-tex">\sigma_{k}</annotation></semantics></math></span><span class="katex-html" aria-hidden="true"><span class="strut" style="height:0.43056em;"></span><span class="strut bottom" style="height:0.58056em;vertical-align:-0.15em;"></span><span class="base textstyle uncramped"><span class="mord"><span class="mord mathit" style="margin-right:0.03588em;">σ</span><span class="msupsub"><span class="vlist"><span style="top:0.15em;margin-right:0.05em;margin-left:-0.03588em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">&#x
200B;</span></span><span class="reset-textstyle scriptstyle cramped mtight"><span class="mord scriptstyle cramped mtight"><span class="mord mathit mtight" style="margin-right:0.03148em;">k</span></span></span></span><span class="baseline-fix"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span>​</span></span></span></span></span></span></span> is the standard deviations of the variable in classes <span class="katex"><span class="katex-mathml"><math><semantics><mrow><mi>k</mi></mrow><annotation encoding="application/x-tex">k</annotation></semantics></math></span><span class="katex-html" aria-hidden="true"><span class="strut" style="height:0.69444em;"></span><span class="strut bottom" style="height:0.69444em;vertical-align:0em;"></span><span class="base textstyle uncramped"><span class="mord mathit" style="margin-right:0.03148em;">k</span></span></span></span>. Clearly, features with larger SNR are useful for classification.</li>
+<li>The Signal Noise Ratio (SNR) is a univariate feature ranking metric, which can be used as a feature selection criterion for binary classification problems. SNR is defined as <span class="katex"><span class="katex-mathml"><math><semantics><mrow><mi mathvariant="normal">∣</mi><msub><mi>μ</mi><mrow><mn>1</mn></mrow></msub><mo>−</mo><msub><mi>μ</mi><mrow><mn>2</mn></mrow></msub><mi mathvariant="normal">∣</mi><mi mathvariant="normal">/</mi><mo>(</mo><msub><mi>σ</mi><mrow><mn>1</mn></mrow></msub><mo>+</mo><msub><mi>σ</mi><mrow><mn>2</mn></mrow></msub><mo>)</mo></mrow><annotation encoding="application/x-tex">|\mu_{1} - \mu_{2}| / (\sigma_{1} + \sigma_{2})</annotation></semantics></math></span><span class="katex-html" aria-hidden="true"><span class="strut" style="height:0.75em;"></span><span class="strut bottom" style="height:1em;vertical-align:-0.25em;"></span><span class="base textstyle uncramped"><span class="mord mathrm">∣</span><s
pan class="mord"><span class="mord mathit">μ</span><span class="vlist"><span style="top:0.15em;margin-right:0.05em;margin-left:0em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="reset-textstyle scriptstyle cramped"><span class="mord scriptstyle cramped"><span class="mord mathrm">1</span></span></span></span><span class="baseline-fix"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span>​</span></span></span><span class="mbin">−</span><span class="mord"><span class="mord mathit">μ</span><span class="vlist"><span style="top:0.15em;margin-right:0.05em;margin-left:0em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="reset-textstyle scriptstyle cramped"><span class="mord scriptstyle cramped"><span class="mord mathrm">2</span></span></span></span><span class="baseline-fix"><span class=
"fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span>​</span></span></span><span class="mord mathrm">∣</span><span class="mord mathrm">/</span><span class="mopen">(</span><span class="mord"><span class="mord mathit" style="margin-right:0.03588em;">σ</span><span class="vlist"><span style="top:0.15em;margin-right:0.05em;margin-left:-0.03588em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="reset-textstyle scriptstyle cramped"><span class="mord scriptstyle cramped"><span class="mord mathrm">1</span></span></span></span><span class="baseline-fix"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span>​</span></span></span><span class="mbin">+</span><span class="mord"><span class="mord mathit" style="margin-right:0.03588em;">σ</span><span class="vlist"><span style="top:0.15em;margin-right:0.05em;margin-left:-0.
03588em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="reset-textstyle scriptstyle cramped"><span class="mord scriptstyle cramped"><span class="mord mathrm">2</span></span></span></span><span class="baseline-fix"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span>​</span></span></span><span class="mclose">)</span></span></span></span>, where <span class="katex"><span class="katex-mathml"><math><semantics><mrow><msub><mi>μ</mi><mrow><mi>k</mi></mrow></msub></mrow><annotation encoding="application/x-tex">\mu_{k}</annotation></semantics></math></span><span class="katex-html" aria-hidden="true"><span class="strut" style="height:0.43056em;"></span><span class="strut bottom" style="height:0.625em;vertical-align:-0.19444em;"></span><span class="base textstyle uncramped"><span class="mord"><span class="mord mathit">μ</span><span class="vlist"><span style="t
op:0.15em;margin-right:0.05em;margin-left:0em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="reset-textstyle scriptstyle cramped"><span class="mord scriptstyle cramped"><span class="mord mathit" style="margin-right:0.03148em;">k</span></span></span></span><span class="baseline-fix"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span>​</span></span></span></span></span></span> is the mean value of the variable in classes <span class="katex"><span class="katex-mathml"><math><semantics><mrow><mi>k</mi></mrow><annotation encoding="application/x-tex">k</annotation></semantics></math></span><span class="katex-html" aria-hidden="true"><span class="strut" style="height:0.69444em;"></span><span class="strut bottom" style="height:0.69444em;vertical-align:0em;"></span><span class="base textstyle uncramped"><span class="mord mathit" style="margin-right:0.03148em;">k</span><
/span></span></span>, and <span class="katex"><span class="katex-mathml"><math><semantics><mrow><msub><mi>σ</mi><mrow><mi>k</mi></mrow></msub></mrow><annotation encoding="application/x-tex">\sigma_{k}</annotation></semantics></math></span><span class="katex-html" aria-hidden="true"><span class="strut" style="height:0.43056em;"></span><span class="strut bottom" style="height:0.58056em;vertical-align:-0.15em;"></span><span class="base textstyle uncramped"><span class="mord"><span class="mord mathit" style="margin-right:0.03588em;">σ</span><span class="vlist"><span style="top:0.15em;margin-right:0.05em;margin-left:-0.03588em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="reset-textstyle scriptstyle cramped"><span class="mord scriptstyle cramped"><span class="mord mathit" style="margin-right:0.03148em;">k</span></span></span></span><span class="baseline-fix"><span class="fontsize-ensurer reset-size5 size5"><
span style="font-size:0em;">​</span></span>​</span></span></span></span></span></span> is the standard deviations of the variable in classes <span class="katex"><span class="katex-mathml"><math><semantics><mrow><mi>k</mi></mrow><annotation encoding="application/x-tex">k</annotation></semantics></math></span><span class="katex-html" aria-hidden="true"><span class="strut" style="height:0.69444em;"></span><span class="strut bottom" style="height:0.69444em;vertical-align:0em;"></span><span class="base textstyle uncramped"><span class="mord mathit" style="margin-right:0.03148em;">k</span></span></span></span>. Clearly, features with larger SNR are useful for classification.</li>
</ul>
</li>
</ul>
@@ -2336,7 +2372,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
<script>
var gitbook = gitbook || [];
gitbook.push(function() {
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[15/41] incubator-hivemall-site git commit: Added descriptions about
Feature Pairing in the user guide
Posted by my...@apache.org.
http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/ba518dab/userguide/recommend/movielens_dataset.html
----------------------------------------------------------------------
diff --git a/userguide/recommend/movielens_dataset.html b/userguide/recommend/movielens_dataset.html
index 7352a3f..320bba4 100644
--- a/userguide/recommend/movielens_dataset.html
+++ b/userguide/recommend/movielens_dataset.html
@@ -598,14 +598,30 @@
</li>
- <li class="chapter " data-level="3.5" data-path="../ft_engineering/tfidf.html">
+ <li class="chapter " data-level="3.5" data-path="../ft_engineering/pairing.html">
- <a href="../ft_engineering/tfidf.html">
+ <a href="../ft_engineering/pairing.html">
<b>3.5.</b>
- TF-IDF Calculation
+ FEATURE PAIRING
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="3.5.1" data-path="../ft_engineering/polynomial.html">
+
+ <a href="../ft_engineering/polynomial.html">
+
+
+ <b>3.5.1.</b>
+
+ Polynomial Features
</a>
@@ -613,6 +629,11 @@
</li>
+
+ </ul>
+
+ </li>
+
<li class="chapter " data-level="3.6" data-path="../ft_engineering/ft_trans.html">
<a href="../ft_engineering/ft_trans.html">
@@ -664,6 +685,21 @@
</li>
+ <li class="chapter " data-level="3.7" data-path="../ft_engineering/tfidf.html">
+
+ <a href="../ft_engineering/tfidf.html">
+
+
+ <b>3.7.</b>
+
+ TF-IDF Calculation
+
+ </a>
+
+
+
+ </li>
+
@@ -761,7 +797,7 @@
- <li class="header">Part V - Prediction</li>
+ <li class="header">Part V - Supervised Learning</li>
@@ -780,27 +816,19 @@
</li>
- <li class="chapter " data-level="5.2" data-path="../regression/general.html">
-
- <a href="../regression/general.html">
-
-
- <b>5.2.</b>
-
- Regression
-
- </a>
-
-
- </li>
- <li class="chapter " data-level="5.3" data-path="../binaryclass/general.html">
+
+ <li class="header">Part VI - Binary classification</li>
+
+
+
+ <li class="chapter " data-level="6.1" data-path="../binaryclass/general.html">
<a href="../binaryclass/general.html">
- <b>5.3.</b>
+ <b>6.1.</b>
Binary Classification
@@ -810,21 +838,14 @@
</li>
-
-
-
- <li class="header">Part VI - Binary classification tutorials</li>
-
-
-
- <li class="chapter " data-level="6.1" data-path="../binaryclass/a9a.html">
+ <li class="chapter " data-level="6.2" data-path="../binaryclass/a9a.html">
<a href="../binaryclass/a9a.html">
- <b>6.1.</b>
+ <b>6.2.</b>
- a9a
+ a9a tutorial
</a>
@@ -833,12 +854,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.1.1" data-path="../binaryclass/a9a_dataset.html">
+ <li class="chapter " data-level="6.2.1" data-path="../binaryclass/a9a_dataset.html">
<a href="../binaryclass/a9a_dataset.html">
- <b>6.1.1.</b>
+ <b>6.2.1.</b>
Data preparation
@@ -848,12 +869,12 @@
</li>
- <li class="chapter " data-level="6.1.2" data-path="../binaryclass/a9a_lr.html">
+ <li class="chapter " data-level="6.2.2" data-path="../binaryclass/a9a_lr.html">
<a href="../binaryclass/a9a_lr.html">
- <b>6.1.2.</b>
+ <b>6.2.2.</b>
Logistic Regression
@@ -863,12 +884,12 @@
</li>
- <li class="chapter " data-level="6.1.3" data-path="../binaryclass/a9a_minibatch.html">
+ <li class="chapter " data-level="6.2.3" data-path="../binaryclass/a9a_minibatch.html">
<a href="../binaryclass/a9a_minibatch.html">
- <b>6.1.3.</b>
+ <b>6.2.3.</b>
Mini-batch Gradient Descent
@@ -883,14 +904,14 @@
</li>
- <li class="chapter " data-level="6.2" data-path="../binaryclass/news20.html">
+ <li class="chapter " data-level="6.3" data-path="../binaryclass/news20.html">
<a href="../binaryclass/news20.html">
- <b>6.2.</b>
+ <b>6.3.</b>
- News20
+ News20 tutorial
</a>
@@ -899,12 +920,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.2.1" data-path="../binaryclass/news20_dataset.html">
+ <li class="chapter " data-level="6.3.1" data-path="../binaryclass/news20_dataset.html">
<a href="../binaryclass/news20_dataset.html">
- <b>6.2.1.</b>
+ <b>6.3.1.</b>
Data preparation
@@ -914,12 +935,12 @@
</li>
- <li class="chapter " data-level="6.2.2" data-path="../binaryclass/news20_pa.html">
+ <li class="chapter " data-level="6.3.2" data-path="../binaryclass/news20_pa.html">
<a href="../binaryclass/news20_pa.html">
- <b>6.2.2.</b>
+ <b>6.3.2.</b>
Perceptron, Passive Aggressive
@@ -929,12 +950,12 @@
</li>
- <li class="chapter " data-level="6.2.3" data-path="../binaryclass/news20_scw.html">
+ <li class="chapter " data-level="6.3.3" data-path="../binaryclass/news20_scw.html">
<a href="../binaryclass/news20_scw.html">
- <b>6.2.3.</b>
+ <b>6.3.3.</b>
CW, AROW, SCW
@@ -944,12 +965,12 @@
</li>
- <li class="chapter " data-level="6.2.4" data-path="../binaryclass/news20_adagrad.html">
+ <li class="chapter " data-level="6.3.4" data-path="../binaryclass/news20_adagrad.html">
<a href="../binaryclass/news20_adagrad.html">
- <b>6.2.4.</b>
+ <b>6.3.4.</b>
AdaGradRDA, AdaGrad, AdaDelta
@@ -964,14 +985,14 @@
</li>
- <li class="chapter " data-level="6.3" data-path="../binaryclass/kdd2010a.html">
+ <li class="chapter " data-level="6.4" data-path="../binaryclass/kdd2010a.html">
<a href="../binaryclass/kdd2010a.html">
- <b>6.3.</b>
+ <b>6.4.</b>
- KDD2010a
+ KDD2010a tutorial
</a>
@@ -980,12 +1001,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.3.1" data-path="../binaryclass/kdd2010a_dataset.html">
+ <li class="chapter " data-level="6.4.1" data-path="../binaryclass/kdd2010a_dataset.html">
<a href="../binaryclass/kdd2010a_dataset.html">
- <b>6.3.1.</b>
+ <b>6.4.1.</b>
Data preparation
@@ -995,12 +1016,12 @@
</li>
- <li class="chapter " data-level="6.3.2" data-path="../binaryclass/kdd2010a_scw.html">
+ <li class="chapter " data-level="6.4.2" data-path="../binaryclass/kdd2010a_scw.html">
<a href="../binaryclass/kdd2010a_scw.html">
- <b>6.3.2.</b>
+ <b>6.4.2.</b>
PA, CW, AROW, SCW
@@ -1015,14 +1036,14 @@
</li>
- <li class="chapter " data-level="6.4" data-path="../binaryclass/kdd2010b.html">
+ <li class="chapter " data-level="6.5" data-path="../binaryclass/kdd2010b.html">
<a href="../binaryclass/kdd2010b.html">
- <b>6.4.</b>
+ <b>6.5.</b>
- KDD2010b
+ KDD2010b tutorial
</a>
@@ -1031,12 +1052,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.4.1" data-path="../binaryclass/kdd2010b_dataset.html">
+ <li class="chapter " data-level="6.5.1" data-path="../binaryclass/kdd2010b_dataset.html">
<a href="../binaryclass/kdd2010b_dataset.html">
- <b>6.4.1.</b>
+ <b>6.5.1.</b>
Data preparation
@@ -1046,12 +1067,12 @@
</li>
- <li class="chapter " data-level="6.4.2" data-path="../binaryclass/kdd2010b_arow.html">
+ <li class="chapter " data-level="6.5.2" data-path="../binaryclass/kdd2010b_arow.html">
<a href="../binaryclass/kdd2010b_arow.html">
- <b>6.4.2.</b>
+ <b>6.5.2.</b>
AROW
@@ -1066,14 +1087,14 @@
</li>
- <li class="chapter " data-level="6.5" data-path="../binaryclass/webspam.html">
+ <li class="chapter " data-level="6.6" data-path="../binaryclass/webspam.html">
<a href="../binaryclass/webspam.html">
- <b>6.5.</b>
+ <b>6.6.</b>
- Webspam
+ Webspam tutorial
</a>
@@ -1082,12 +1103,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.5.1" data-path="../binaryclass/webspam_dataset.html">
+ <li class="chapter " data-level="6.6.1" data-path="../binaryclass/webspam_dataset.html">
<a href="../binaryclass/webspam_dataset.html">
- <b>6.5.1.</b>
+ <b>6.6.1.</b>
Data pareparation
@@ -1097,12 +1118,12 @@
</li>
- <li class="chapter " data-level="6.5.2" data-path="../binaryclass/webspam_scw.html">
+ <li class="chapter " data-level="6.6.2" data-path="../binaryclass/webspam_scw.html">
<a href="../binaryclass/webspam_scw.html">
- <b>6.5.2.</b>
+ <b>6.6.2.</b>
PA1, AROW, SCW
@@ -1117,14 +1138,14 @@
</li>
- <li class="chapter " data-level="6.6" data-path="../binaryclass/titanic_rf.html">
+ <li class="chapter " data-level="6.7" data-path="../binaryclass/titanic_rf.html">
<a href="../binaryclass/titanic_rf.html">
- <b>6.6.</b>
+ <b>6.7.</b>
- Kaggle Titanic
+ Kaggle Titanic tutorial
</a>
@@ -1135,7 +1156,7 @@
- <li class="header">Part VII - Multiclass classification tutorials</li>
+ <li class="header">Part VII - Multiclass classification</li>
@@ -1146,7 +1167,7 @@
<b>7.1.</b>
- News20 Multiclass
+ News20 Multiclass tutorial
</a>
@@ -1257,7 +1278,7 @@
<b>7.2.</b>
- Iris
+ Iris tutorial
</a>
@@ -1319,18 +1340,33 @@
- <li class="header">Part VIII - Regression tutorials</li>
+ <li class="header">Part VIII - Regression</li>
- <li class="chapter " data-level="8.1" data-path="../regression/e2006.html">
+ <li class="chapter " data-level="8.1" data-path="../regression/general.html">
- <a href="../regression/e2006.html">
+ <a href="../regression/general.html">
<b>8.1.</b>
- E2006-tfidf regression
+ Regression
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="8.2" data-path="../regression/e2006.html">
+
+ <a href="../regression/e2006.html">
+
+
+ <b>8.2.</b>
+
+ E2006-tfidf regression tutorial
</a>
@@ -1339,12 +1375,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.1.1" data-path="../regression/e2006_dataset.html">
+ <li class="chapter " data-level="8.2.1" data-path="../regression/e2006_dataset.html">
<a href="../regression/e2006_dataset.html">
- <b>8.1.1.</b>
+ <b>8.2.1.</b>
Data preparation
@@ -1354,12 +1390,12 @@
</li>
- <li class="chapter " data-level="8.1.2" data-path="../regression/e2006_arow.html">
+ <li class="chapter " data-level="8.2.2" data-path="../regression/e2006_arow.html">
<a href="../regression/e2006_arow.html">
- <b>8.1.2.</b>
+ <b>8.2.2.</b>
Passive Aggressive, AROW
@@ -1374,14 +1410,14 @@
</li>
- <li class="chapter " data-level="8.2" data-path="../regression/kddcup12tr2.html">
+ <li class="chapter " data-level="8.3" data-path="../regression/kddcup12tr2.html">
<a href="../regression/kddcup12tr2.html">
- <b>8.2.</b>
+ <b>8.3.</b>
- KDDCup 2012 track 2 CTR prediction
+ KDDCup 2012 track 2 CTR prediction tutorial
</a>
@@ -1390,12 +1426,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.2.1" data-path="../regression/kddcup12tr2_dataset.html">
+ <li class="chapter " data-level="8.3.1" data-path="../regression/kddcup12tr2_dataset.html">
<a href="../regression/kddcup12tr2_dataset.html">
- <b>8.2.1.</b>
+ <b>8.3.1.</b>
Data preparation
@@ -1405,12 +1441,12 @@
</li>
- <li class="chapter " data-level="8.2.2" data-path="../regression/kddcup12tr2_lr.html">
+ <li class="chapter " data-level="8.3.2" data-path="../regression/kddcup12tr2_lr.html">
<a href="../regression/kddcup12tr2_lr.html">
- <b>8.2.2.</b>
+ <b>8.3.2.</b>
Logistic Regression, Passive Aggressive
@@ -1420,12 +1456,12 @@
</li>
- <li class="chapter " data-level="8.2.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
+ <li class="chapter " data-level="8.3.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
<a href="../regression/kddcup12tr2_lr_amplify.html">
- <b>8.2.3.</b>
+ <b>8.3.3.</b>
Logistic Regression with Amplifier
@@ -1435,12 +1471,12 @@
</li>
- <li class="chapter " data-level="8.2.4" data-path="../regression/kddcup12tr2_adagrad.html">
+ <li class="chapter " data-level="8.3.4" data-path="../regression/kddcup12tr2_adagrad.html">
<a href="../regression/kddcup12tr2_adagrad.html">
- <b>8.2.4.</b>
+ <b>8.3.4.</b>
AdaGrad, AdaDelta
@@ -2273,7 +2309,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
<script>
var gitbook = gitbook || [];
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----------------------------------------------------------------------
diff --git a/userguide/recommend/movielens_fm.html b/userguide/recommend/movielens_fm.html
index 3e79b11..297e622 100644
--- a/userguide/recommend/movielens_fm.html
+++ b/userguide/recommend/movielens_fm.html
@@ -598,14 +598,30 @@
</li>
- <li class="chapter " data-level="3.5" data-path="../ft_engineering/tfidf.html">
+ <li class="chapter " data-level="3.5" data-path="../ft_engineering/pairing.html">
- <a href="../ft_engineering/tfidf.html">
+ <a href="../ft_engineering/pairing.html">
<b>3.5.</b>
- TF-IDF Calculation
+ FEATURE PAIRING
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="3.5.1" data-path="../ft_engineering/polynomial.html">
+
+ <a href="../ft_engineering/polynomial.html">
+
+
+ <b>3.5.1.</b>
+
+ Polynomial Features
</a>
@@ -613,6 +629,11 @@
</li>
+
+ </ul>
+
+ </li>
+
<li class="chapter " data-level="3.6" data-path="../ft_engineering/ft_trans.html">
<a href="../ft_engineering/ft_trans.html">
@@ -664,6 +685,21 @@
</li>
+ <li class="chapter " data-level="3.7" data-path="../ft_engineering/tfidf.html">
+
+ <a href="../ft_engineering/tfidf.html">
+
+
+ <b>3.7.</b>
+
+ TF-IDF Calculation
+
+ </a>
+
+
+
+ </li>
+
@@ -761,7 +797,7 @@
- <li class="header">Part V - Prediction</li>
+ <li class="header">Part V - Supervised Learning</li>
@@ -780,27 +816,19 @@
</li>
- <li class="chapter " data-level="5.2" data-path="../regression/general.html">
-
- <a href="../regression/general.html">
-
-
- <b>5.2.</b>
-
- Regression
-
- </a>
-
-
- </li>
- <li class="chapter " data-level="5.3" data-path="../binaryclass/general.html">
+
+ <li class="header">Part VI - Binary classification</li>
+
+
+
+ <li class="chapter " data-level="6.1" data-path="../binaryclass/general.html">
<a href="../binaryclass/general.html">
- <b>5.3.</b>
+ <b>6.1.</b>
Binary Classification
@@ -810,21 +838,14 @@
</li>
-
-
-
- <li class="header">Part VI - Binary classification tutorials</li>
-
-
-
- <li class="chapter " data-level="6.1" data-path="../binaryclass/a9a.html">
+ <li class="chapter " data-level="6.2" data-path="../binaryclass/a9a.html">
<a href="../binaryclass/a9a.html">
- <b>6.1.</b>
+ <b>6.2.</b>
- a9a
+ a9a tutorial
</a>
@@ -833,12 +854,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.1.1" data-path="../binaryclass/a9a_dataset.html">
+ <li class="chapter " data-level="6.2.1" data-path="../binaryclass/a9a_dataset.html">
<a href="../binaryclass/a9a_dataset.html">
- <b>6.1.1.</b>
+ <b>6.2.1.</b>
Data preparation
@@ -848,12 +869,12 @@
</li>
- <li class="chapter " data-level="6.1.2" data-path="../binaryclass/a9a_lr.html">
+ <li class="chapter " data-level="6.2.2" data-path="../binaryclass/a9a_lr.html">
<a href="../binaryclass/a9a_lr.html">
- <b>6.1.2.</b>
+ <b>6.2.2.</b>
Logistic Regression
@@ -863,12 +884,12 @@
</li>
- <li class="chapter " data-level="6.1.3" data-path="../binaryclass/a9a_minibatch.html">
+ <li class="chapter " data-level="6.2.3" data-path="../binaryclass/a9a_minibatch.html">
<a href="../binaryclass/a9a_minibatch.html">
- <b>6.1.3.</b>
+ <b>6.2.3.</b>
Mini-batch Gradient Descent
@@ -883,14 +904,14 @@
</li>
- <li class="chapter " data-level="6.2" data-path="../binaryclass/news20.html">
+ <li class="chapter " data-level="6.3" data-path="../binaryclass/news20.html">
<a href="../binaryclass/news20.html">
- <b>6.2.</b>
+ <b>6.3.</b>
- News20
+ News20 tutorial
</a>
@@ -899,12 +920,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.2.1" data-path="../binaryclass/news20_dataset.html">
+ <li class="chapter " data-level="6.3.1" data-path="../binaryclass/news20_dataset.html">
<a href="../binaryclass/news20_dataset.html">
- <b>6.2.1.</b>
+ <b>6.3.1.</b>
Data preparation
@@ -914,12 +935,12 @@
</li>
- <li class="chapter " data-level="6.2.2" data-path="../binaryclass/news20_pa.html">
+ <li class="chapter " data-level="6.3.2" data-path="../binaryclass/news20_pa.html">
<a href="../binaryclass/news20_pa.html">
- <b>6.2.2.</b>
+ <b>6.3.2.</b>
Perceptron, Passive Aggressive
@@ -929,12 +950,12 @@
</li>
- <li class="chapter " data-level="6.2.3" data-path="../binaryclass/news20_scw.html">
+ <li class="chapter " data-level="6.3.3" data-path="../binaryclass/news20_scw.html">
<a href="../binaryclass/news20_scw.html">
- <b>6.2.3.</b>
+ <b>6.3.3.</b>
CW, AROW, SCW
@@ -944,12 +965,12 @@
</li>
- <li class="chapter " data-level="6.2.4" data-path="../binaryclass/news20_adagrad.html">
+ <li class="chapter " data-level="6.3.4" data-path="../binaryclass/news20_adagrad.html">
<a href="../binaryclass/news20_adagrad.html">
- <b>6.2.4.</b>
+ <b>6.3.4.</b>
AdaGradRDA, AdaGrad, AdaDelta
@@ -964,14 +985,14 @@
</li>
- <li class="chapter " data-level="6.3" data-path="../binaryclass/kdd2010a.html">
+ <li class="chapter " data-level="6.4" data-path="../binaryclass/kdd2010a.html">
<a href="../binaryclass/kdd2010a.html">
- <b>6.3.</b>
+ <b>6.4.</b>
- KDD2010a
+ KDD2010a tutorial
</a>
@@ -980,12 +1001,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.3.1" data-path="../binaryclass/kdd2010a_dataset.html">
+ <li class="chapter " data-level="6.4.1" data-path="../binaryclass/kdd2010a_dataset.html">
<a href="../binaryclass/kdd2010a_dataset.html">
- <b>6.3.1.</b>
+ <b>6.4.1.</b>
Data preparation
@@ -995,12 +1016,12 @@
</li>
- <li class="chapter " data-level="6.3.2" data-path="../binaryclass/kdd2010a_scw.html">
+ <li class="chapter " data-level="6.4.2" data-path="../binaryclass/kdd2010a_scw.html">
<a href="../binaryclass/kdd2010a_scw.html">
- <b>6.3.2.</b>
+ <b>6.4.2.</b>
PA, CW, AROW, SCW
@@ -1015,14 +1036,14 @@
</li>
- <li class="chapter " data-level="6.4" data-path="../binaryclass/kdd2010b.html">
+ <li class="chapter " data-level="6.5" data-path="../binaryclass/kdd2010b.html">
<a href="../binaryclass/kdd2010b.html">
- <b>6.4.</b>
+ <b>6.5.</b>
- KDD2010b
+ KDD2010b tutorial
</a>
@@ -1031,12 +1052,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.4.1" data-path="../binaryclass/kdd2010b_dataset.html">
+ <li class="chapter " data-level="6.5.1" data-path="../binaryclass/kdd2010b_dataset.html">
<a href="../binaryclass/kdd2010b_dataset.html">
- <b>6.4.1.</b>
+ <b>6.5.1.</b>
Data preparation
@@ -1046,12 +1067,12 @@
</li>
- <li class="chapter " data-level="6.4.2" data-path="../binaryclass/kdd2010b_arow.html">
+ <li class="chapter " data-level="6.5.2" data-path="../binaryclass/kdd2010b_arow.html">
<a href="../binaryclass/kdd2010b_arow.html">
- <b>6.4.2.</b>
+ <b>6.5.2.</b>
AROW
@@ -1066,14 +1087,14 @@
</li>
- <li class="chapter " data-level="6.5" data-path="../binaryclass/webspam.html">
+ <li class="chapter " data-level="6.6" data-path="../binaryclass/webspam.html">
<a href="../binaryclass/webspam.html">
- <b>6.5.</b>
+ <b>6.6.</b>
- Webspam
+ Webspam tutorial
</a>
@@ -1082,12 +1103,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.5.1" data-path="../binaryclass/webspam_dataset.html">
+ <li class="chapter " data-level="6.6.1" data-path="../binaryclass/webspam_dataset.html">
<a href="../binaryclass/webspam_dataset.html">
- <b>6.5.1.</b>
+ <b>6.6.1.</b>
Data pareparation
@@ -1097,12 +1118,12 @@
</li>
- <li class="chapter " data-level="6.5.2" data-path="../binaryclass/webspam_scw.html">
+ <li class="chapter " data-level="6.6.2" data-path="../binaryclass/webspam_scw.html">
<a href="../binaryclass/webspam_scw.html">
- <b>6.5.2.</b>
+ <b>6.6.2.</b>
PA1, AROW, SCW
@@ -1117,14 +1138,14 @@
</li>
- <li class="chapter " data-level="6.6" data-path="../binaryclass/titanic_rf.html">
+ <li class="chapter " data-level="6.7" data-path="../binaryclass/titanic_rf.html">
<a href="../binaryclass/titanic_rf.html">
- <b>6.6.</b>
+ <b>6.7.</b>
- Kaggle Titanic
+ Kaggle Titanic tutorial
</a>
@@ -1135,7 +1156,7 @@
- <li class="header">Part VII - Multiclass classification tutorials</li>
+ <li class="header">Part VII - Multiclass classification</li>
@@ -1146,7 +1167,7 @@
<b>7.1.</b>
- News20 Multiclass
+ News20 Multiclass tutorial
</a>
@@ -1257,7 +1278,7 @@
<b>7.2.</b>
- Iris
+ Iris tutorial
</a>
@@ -1319,18 +1340,33 @@
- <li class="header">Part VIII - Regression tutorials</li>
+ <li class="header">Part VIII - Regression</li>
- <li class="chapter " data-level="8.1" data-path="../regression/e2006.html">
+ <li class="chapter " data-level="8.1" data-path="../regression/general.html">
- <a href="../regression/e2006.html">
+ <a href="../regression/general.html">
<b>8.1.</b>
- E2006-tfidf regression
+ Regression
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="8.2" data-path="../regression/e2006.html">
+
+ <a href="../regression/e2006.html">
+
+
+ <b>8.2.</b>
+
+ E2006-tfidf regression tutorial
</a>
@@ -1339,12 +1375,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.1.1" data-path="../regression/e2006_dataset.html">
+ <li class="chapter " data-level="8.2.1" data-path="../regression/e2006_dataset.html">
<a href="../regression/e2006_dataset.html">
- <b>8.1.1.</b>
+ <b>8.2.1.</b>
Data preparation
@@ -1354,12 +1390,12 @@
</li>
- <li class="chapter " data-level="8.1.2" data-path="../regression/e2006_arow.html">
+ <li class="chapter " data-level="8.2.2" data-path="../regression/e2006_arow.html">
<a href="../regression/e2006_arow.html">
- <b>8.1.2.</b>
+ <b>8.2.2.</b>
Passive Aggressive, AROW
@@ -1374,14 +1410,14 @@
</li>
- <li class="chapter " data-level="8.2" data-path="../regression/kddcup12tr2.html">
+ <li class="chapter " data-level="8.3" data-path="../regression/kddcup12tr2.html">
<a href="../regression/kddcup12tr2.html">
- <b>8.2.</b>
+ <b>8.3.</b>
- KDDCup 2012 track 2 CTR prediction
+ KDDCup 2012 track 2 CTR prediction tutorial
</a>
@@ -1390,12 +1426,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.2.1" data-path="../regression/kddcup12tr2_dataset.html">
+ <li class="chapter " data-level="8.3.1" data-path="../regression/kddcup12tr2_dataset.html">
<a href="../regression/kddcup12tr2_dataset.html">
- <b>8.2.1.</b>
+ <b>8.3.1.</b>
Data preparation
@@ -1405,12 +1441,12 @@
</li>
- <li class="chapter " data-level="8.2.2" data-path="../regression/kddcup12tr2_lr.html">
+ <li class="chapter " data-level="8.3.2" data-path="../regression/kddcup12tr2_lr.html">
<a href="../regression/kddcup12tr2_lr.html">
- <b>8.2.2.</b>
+ <b>8.3.2.</b>
Logistic Regression, Passive Aggressive
@@ -1420,12 +1456,12 @@
</li>
- <li class="chapter " data-level="8.2.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
+ <li class="chapter " data-level="8.3.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
<a href="../regression/kddcup12tr2_lr_amplify.html">
- <b>8.2.3.</b>
+ <b>8.3.3.</b>
Logistic Regression with Amplifier
@@ -1435,12 +1471,12 @@
</li>
- <li class="chapter " data-level="8.2.4" data-path="../regression/kddcup12tr2_adagrad.html">
+ <li class="chapter " data-level="8.3.4" data-path="../regression/kddcup12tr2_adagrad.html">
<a href="../regression/kddcup12tr2_adagrad.html">
- <b>8.2.4.</b>
+ <b>8.3.4.</b>
AdaGrad, AdaDelta
@@ -2366,7 +2402,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
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----------------------------------------------------------------------
diff --git a/userguide/recommend/movielens_mf.html b/userguide/recommend/movielens_mf.html
index 55f2992..b6c0129 100644
--- a/userguide/recommend/movielens_mf.html
+++ b/userguide/recommend/movielens_mf.html
@@ -598,14 +598,30 @@
</li>
- <li class="chapter " data-level="3.5" data-path="../ft_engineering/tfidf.html">
+ <li class="chapter " data-level="3.5" data-path="../ft_engineering/pairing.html">
- <a href="../ft_engineering/tfidf.html">
+ <a href="../ft_engineering/pairing.html">
<b>3.5.</b>
- TF-IDF Calculation
+ FEATURE PAIRING
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="3.5.1" data-path="../ft_engineering/polynomial.html">
+
+ <a href="../ft_engineering/polynomial.html">
+
+
+ <b>3.5.1.</b>
+
+ Polynomial Features
</a>
@@ -613,6 +629,11 @@
</li>
+
+ </ul>
+
+ </li>
+
<li class="chapter " data-level="3.6" data-path="../ft_engineering/ft_trans.html">
<a href="../ft_engineering/ft_trans.html">
@@ -664,6 +685,21 @@
</li>
+ <li class="chapter " data-level="3.7" data-path="../ft_engineering/tfidf.html">
+
+ <a href="../ft_engineering/tfidf.html">
+
+
+ <b>3.7.</b>
+
+ TF-IDF Calculation
+
+ </a>
+
+
+
+ </li>
+
@@ -761,7 +797,7 @@
- <li class="header">Part V - Prediction</li>
+ <li class="header">Part V - Supervised Learning</li>
@@ -780,27 +816,19 @@
</li>
- <li class="chapter " data-level="5.2" data-path="../regression/general.html">
-
- <a href="../regression/general.html">
-
-
- <b>5.2.</b>
-
- Regression
-
- </a>
-
-
- </li>
- <li class="chapter " data-level="5.3" data-path="../binaryclass/general.html">
+
+ <li class="header">Part VI - Binary classification</li>
+
+
+
+ <li class="chapter " data-level="6.1" data-path="../binaryclass/general.html">
<a href="../binaryclass/general.html">
- <b>5.3.</b>
+ <b>6.1.</b>
Binary Classification
@@ -810,21 +838,14 @@
</li>
-
-
-
- <li class="header">Part VI - Binary classification tutorials</li>
-
-
-
- <li class="chapter " data-level="6.1" data-path="../binaryclass/a9a.html">
+ <li class="chapter " data-level="6.2" data-path="../binaryclass/a9a.html">
<a href="../binaryclass/a9a.html">
- <b>6.1.</b>
+ <b>6.2.</b>
- a9a
+ a9a tutorial
</a>
@@ -833,12 +854,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.1.1" data-path="../binaryclass/a9a_dataset.html">
+ <li class="chapter " data-level="6.2.1" data-path="../binaryclass/a9a_dataset.html">
<a href="../binaryclass/a9a_dataset.html">
- <b>6.1.1.</b>
+ <b>6.2.1.</b>
Data preparation
@@ -848,12 +869,12 @@
</li>
- <li class="chapter " data-level="6.1.2" data-path="../binaryclass/a9a_lr.html">
+ <li class="chapter " data-level="6.2.2" data-path="../binaryclass/a9a_lr.html">
<a href="../binaryclass/a9a_lr.html">
- <b>6.1.2.</b>
+ <b>6.2.2.</b>
Logistic Regression
@@ -863,12 +884,12 @@
</li>
- <li class="chapter " data-level="6.1.3" data-path="../binaryclass/a9a_minibatch.html">
+ <li class="chapter " data-level="6.2.3" data-path="../binaryclass/a9a_minibatch.html">
<a href="../binaryclass/a9a_minibatch.html">
- <b>6.1.3.</b>
+ <b>6.2.3.</b>
Mini-batch Gradient Descent
@@ -883,14 +904,14 @@
</li>
- <li class="chapter " data-level="6.2" data-path="../binaryclass/news20.html">
+ <li class="chapter " data-level="6.3" data-path="../binaryclass/news20.html">
<a href="../binaryclass/news20.html">
- <b>6.2.</b>
+ <b>6.3.</b>
- News20
+ News20 tutorial
</a>
@@ -899,12 +920,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.2.1" data-path="../binaryclass/news20_dataset.html">
+ <li class="chapter " data-level="6.3.1" data-path="../binaryclass/news20_dataset.html">
<a href="../binaryclass/news20_dataset.html">
- <b>6.2.1.</b>
+ <b>6.3.1.</b>
Data preparation
@@ -914,12 +935,12 @@
</li>
- <li class="chapter " data-level="6.2.2" data-path="../binaryclass/news20_pa.html">
+ <li class="chapter " data-level="6.3.2" data-path="../binaryclass/news20_pa.html">
<a href="../binaryclass/news20_pa.html">
- <b>6.2.2.</b>
+ <b>6.3.2.</b>
Perceptron, Passive Aggressive
@@ -929,12 +950,12 @@
</li>
- <li class="chapter " data-level="6.2.3" data-path="../binaryclass/news20_scw.html">
+ <li class="chapter " data-level="6.3.3" data-path="../binaryclass/news20_scw.html">
<a href="../binaryclass/news20_scw.html">
- <b>6.2.3.</b>
+ <b>6.3.3.</b>
CW, AROW, SCW
@@ -944,12 +965,12 @@
</li>
- <li class="chapter " data-level="6.2.4" data-path="../binaryclass/news20_adagrad.html">
+ <li class="chapter " data-level="6.3.4" data-path="../binaryclass/news20_adagrad.html">
<a href="../binaryclass/news20_adagrad.html">
- <b>6.2.4.</b>
+ <b>6.3.4.</b>
AdaGradRDA, AdaGrad, AdaDelta
@@ -964,14 +985,14 @@
</li>
- <li class="chapter " data-level="6.3" data-path="../binaryclass/kdd2010a.html">
+ <li class="chapter " data-level="6.4" data-path="../binaryclass/kdd2010a.html">
<a href="../binaryclass/kdd2010a.html">
- <b>6.3.</b>
+ <b>6.4.</b>
- KDD2010a
+ KDD2010a tutorial
</a>
@@ -980,12 +1001,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.3.1" data-path="../binaryclass/kdd2010a_dataset.html">
+ <li class="chapter " data-level="6.4.1" data-path="../binaryclass/kdd2010a_dataset.html">
<a href="../binaryclass/kdd2010a_dataset.html">
- <b>6.3.1.</b>
+ <b>6.4.1.</b>
Data preparation
@@ -995,12 +1016,12 @@
</li>
- <li class="chapter " data-level="6.3.2" data-path="../binaryclass/kdd2010a_scw.html">
+ <li class="chapter " data-level="6.4.2" data-path="../binaryclass/kdd2010a_scw.html">
<a href="../binaryclass/kdd2010a_scw.html">
- <b>6.3.2.</b>
+ <b>6.4.2.</b>
PA, CW, AROW, SCW
@@ -1015,14 +1036,14 @@
</li>
- <li class="chapter " data-level="6.4" data-path="../binaryclass/kdd2010b.html">
+ <li class="chapter " data-level="6.5" data-path="../binaryclass/kdd2010b.html">
<a href="../binaryclass/kdd2010b.html">
- <b>6.4.</b>
+ <b>6.5.</b>
- KDD2010b
+ KDD2010b tutorial
</a>
@@ -1031,12 +1052,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.4.1" data-path="../binaryclass/kdd2010b_dataset.html">
+ <li class="chapter " data-level="6.5.1" data-path="../binaryclass/kdd2010b_dataset.html">
<a href="../binaryclass/kdd2010b_dataset.html">
- <b>6.4.1.</b>
+ <b>6.5.1.</b>
Data preparation
@@ -1046,12 +1067,12 @@
</li>
- <li class="chapter " data-level="6.4.2" data-path="../binaryclass/kdd2010b_arow.html">
+ <li class="chapter " data-level="6.5.2" data-path="../binaryclass/kdd2010b_arow.html">
<a href="../binaryclass/kdd2010b_arow.html">
- <b>6.4.2.</b>
+ <b>6.5.2.</b>
AROW
@@ -1066,14 +1087,14 @@
</li>
- <li class="chapter " data-level="6.5" data-path="../binaryclass/webspam.html">
+ <li class="chapter " data-level="6.6" data-path="../binaryclass/webspam.html">
<a href="../binaryclass/webspam.html">
- <b>6.5.</b>
+ <b>6.6.</b>
- Webspam
+ Webspam tutorial
</a>
@@ -1082,12 +1103,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.5.1" data-path="../binaryclass/webspam_dataset.html">
+ <li class="chapter " data-level="6.6.1" data-path="../binaryclass/webspam_dataset.html">
<a href="../binaryclass/webspam_dataset.html">
- <b>6.5.1.</b>
+ <b>6.6.1.</b>
Data pareparation
@@ -1097,12 +1118,12 @@
</li>
- <li class="chapter " data-level="6.5.2" data-path="../binaryclass/webspam_scw.html">
+ <li class="chapter " data-level="6.6.2" data-path="../binaryclass/webspam_scw.html">
<a href="../binaryclass/webspam_scw.html">
- <b>6.5.2.</b>
+ <b>6.6.2.</b>
PA1, AROW, SCW
@@ -1117,14 +1138,14 @@
</li>
- <li class="chapter " data-level="6.6" data-path="../binaryclass/titanic_rf.html">
+ <li class="chapter " data-level="6.7" data-path="../binaryclass/titanic_rf.html">
<a href="../binaryclass/titanic_rf.html">
- <b>6.6.</b>
+ <b>6.7.</b>
- Kaggle Titanic
+ Kaggle Titanic tutorial
</a>
@@ -1135,7 +1156,7 @@
- <li class="header">Part VII - Multiclass classification tutorials</li>
+ <li class="header">Part VII - Multiclass classification</li>
@@ -1146,7 +1167,7 @@
<b>7.1.</b>
- News20 Multiclass
+ News20 Multiclass tutorial
</a>
@@ -1257,7 +1278,7 @@
<b>7.2.</b>
- Iris
+ Iris tutorial
</a>
@@ -1319,18 +1340,33 @@
- <li class="header">Part VIII - Regression tutorials</li>
+ <li class="header">Part VIII - Regression</li>
- <li class="chapter " data-level="8.1" data-path="../regression/e2006.html">
+ <li class="chapter " data-level="8.1" data-path="../regression/general.html">
- <a href="../regression/e2006.html">
+ <a href="../regression/general.html">
<b>8.1.</b>
- E2006-tfidf regression
+ Regression
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="8.2" data-path="../regression/e2006.html">
+
+ <a href="../regression/e2006.html">
+
+
+ <b>8.2.</b>
+
+ E2006-tfidf regression tutorial
</a>
@@ -1339,12 +1375,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.1.1" data-path="../regression/e2006_dataset.html">
+ <li class="chapter " data-level="8.2.1" data-path="../regression/e2006_dataset.html">
<a href="../regression/e2006_dataset.html">
- <b>8.1.1.</b>
+ <b>8.2.1.</b>
Data preparation
@@ -1354,12 +1390,12 @@
</li>
- <li class="chapter " data-level="8.1.2" data-path="../regression/e2006_arow.html">
+ <li class="chapter " data-level="8.2.2" data-path="../regression/e2006_arow.html">
<a href="../regression/e2006_arow.html">
- <b>8.1.2.</b>
+ <b>8.2.2.</b>
Passive Aggressive, AROW
@@ -1374,14 +1410,14 @@
</li>
- <li class="chapter " data-level="8.2" data-path="../regression/kddcup12tr2.html">
+ <li class="chapter " data-level="8.3" data-path="../regression/kddcup12tr2.html">
<a href="../regression/kddcup12tr2.html">
- <b>8.2.</b>
+ <b>8.3.</b>
- KDDCup 2012 track 2 CTR prediction
+ KDDCup 2012 track 2 CTR prediction tutorial
</a>
@@ -1390,12 +1426,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.2.1" data-path="../regression/kddcup12tr2_dataset.html">
+ <li class="chapter " data-level="8.3.1" data-path="../regression/kddcup12tr2_dataset.html">
<a href="../regression/kddcup12tr2_dataset.html">
- <b>8.2.1.</b>
+ <b>8.3.1.</b>
Data preparation
@@ -1405,12 +1441,12 @@
</li>
- <li class="chapter " data-level="8.2.2" data-path="../regression/kddcup12tr2_lr.html">
+ <li class="chapter " data-level="8.3.2" data-path="../regression/kddcup12tr2_lr.html">
<a href="../regression/kddcup12tr2_lr.html">
- <b>8.2.2.</b>
+ <b>8.3.2.</b>
Logistic Regression, Passive Aggressive
@@ -1420,12 +1456,12 @@
</li>
- <li class="chapter " data-level="8.2.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
+ <li class="chapter " data-level="8.3.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
<a href="../regression/kddcup12tr2_lr_amplify.html">
- <b>8.2.3.</b>
+ <b>8.3.3.</b>
Logistic Regression with Amplifier
@@ -1435,12 +1471,12 @@
</li>
- <li class="chapter " data-level="8.2.4" data-path="../regression/kddcup12tr2_adagrad.html">
+ <li class="chapter " data-level="8.3.4" data-path="../regression/kddcup12tr2_adagrad.html">
<a href="../regression/kddcup12tr2_adagrad.html">
- <b>8.2.4.</b>
+ <b>8.3.4.</b>
AdaGrad, AdaDelta
@@ -2297,7 +2333,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
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[21/41] incubator-hivemall-site git commit: Added descriptions about
Feature Pairing in the user guide
Posted by my...@apache.org.
http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/ba518dab/userguide/misc/topk.html
----------------------------------------------------------------------
diff --git a/userguide/misc/topk.html b/userguide/misc/topk.html
index 975f68d..5116db2 100644
--- a/userguide/misc/topk.html
+++ b/userguide/misc/topk.html
@@ -598,14 +598,30 @@
</li>
- <li class="chapter " data-level="3.5" data-path="../ft_engineering/tfidf.html">
+ <li class="chapter " data-level="3.5" data-path="../ft_engineering/pairing.html">
- <a href="../ft_engineering/tfidf.html">
+ <a href="../ft_engineering/pairing.html">
<b>3.5.</b>
- TF-IDF Calculation
+ FEATURE PAIRING
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="3.5.1" data-path="../ft_engineering/polynomial.html">
+
+ <a href="../ft_engineering/polynomial.html">
+
+
+ <b>3.5.1.</b>
+
+ Polynomial Features
</a>
@@ -613,6 +629,11 @@
</li>
+
+ </ul>
+
+ </li>
+
<li class="chapter " data-level="3.6" data-path="../ft_engineering/ft_trans.html">
<a href="../ft_engineering/ft_trans.html">
@@ -664,6 +685,21 @@
</li>
+ <li class="chapter " data-level="3.7" data-path="../ft_engineering/tfidf.html">
+
+ <a href="../ft_engineering/tfidf.html">
+
+
+ <b>3.7.</b>
+
+ TF-IDF Calculation
+
+ </a>
+
+
+
+ </li>
+
@@ -761,7 +797,7 @@
- <li class="header">Part V - Prediction</li>
+ <li class="header">Part V - Supervised Learning</li>
@@ -780,27 +816,19 @@
</li>
- <li class="chapter " data-level="5.2" data-path="../regression/general.html">
-
- <a href="../regression/general.html">
-
-
- <b>5.2.</b>
-
- Regression
-
- </a>
-
-
- </li>
- <li class="chapter " data-level="5.3" data-path="../binaryclass/general.html">
+
+ <li class="header">Part VI - Binary classification</li>
+
+
+
+ <li class="chapter " data-level="6.1" data-path="../binaryclass/general.html">
<a href="../binaryclass/general.html">
- <b>5.3.</b>
+ <b>6.1.</b>
Binary Classification
@@ -810,21 +838,14 @@
</li>
-
-
-
- <li class="header">Part VI - Binary classification tutorials</li>
-
-
-
- <li class="chapter " data-level="6.1" data-path="../binaryclass/a9a.html">
+ <li class="chapter " data-level="6.2" data-path="../binaryclass/a9a.html">
<a href="../binaryclass/a9a.html">
- <b>6.1.</b>
+ <b>6.2.</b>
- a9a
+ a9a tutorial
</a>
@@ -833,12 +854,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.1.1" data-path="../binaryclass/a9a_dataset.html">
+ <li class="chapter " data-level="6.2.1" data-path="../binaryclass/a9a_dataset.html">
<a href="../binaryclass/a9a_dataset.html">
- <b>6.1.1.</b>
+ <b>6.2.1.</b>
Data preparation
@@ -848,12 +869,12 @@
</li>
- <li class="chapter " data-level="6.1.2" data-path="../binaryclass/a9a_lr.html">
+ <li class="chapter " data-level="6.2.2" data-path="../binaryclass/a9a_lr.html">
<a href="../binaryclass/a9a_lr.html">
- <b>6.1.2.</b>
+ <b>6.2.2.</b>
Logistic Regression
@@ -863,12 +884,12 @@
</li>
- <li class="chapter " data-level="6.1.3" data-path="../binaryclass/a9a_minibatch.html">
+ <li class="chapter " data-level="6.2.3" data-path="../binaryclass/a9a_minibatch.html">
<a href="../binaryclass/a9a_minibatch.html">
- <b>6.1.3.</b>
+ <b>6.2.3.</b>
Mini-batch Gradient Descent
@@ -883,14 +904,14 @@
</li>
- <li class="chapter " data-level="6.2" data-path="../binaryclass/news20.html">
+ <li class="chapter " data-level="6.3" data-path="../binaryclass/news20.html">
<a href="../binaryclass/news20.html">
- <b>6.2.</b>
+ <b>6.3.</b>
- News20
+ News20 tutorial
</a>
@@ -899,12 +920,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.2.1" data-path="../binaryclass/news20_dataset.html">
+ <li class="chapter " data-level="6.3.1" data-path="../binaryclass/news20_dataset.html">
<a href="../binaryclass/news20_dataset.html">
- <b>6.2.1.</b>
+ <b>6.3.1.</b>
Data preparation
@@ -914,12 +935,12 @@
</li>
- <li class="chapter " data-level="6.2.2" data-path="../binaryclass/news20_pa.html">
+ <li class="chapter " data-level="6.3.2" data-path="../binaryclass/news20_pa.html">
<a href="../binaryclass/news20_pa.html">
- <b>6.2.2.</b>
+ <b>6.3.2.</b>
Perceptron, Passive Aggressive
@@ -929,12 +950,12 @@
</li>
- <li class="chapter " data-level="6.2.3" data-path="../binaryclass/news20_scw.html">
+ <li class="chapter " data-level="6.3.3" data-path="../binaryclass/news20_scw.html">
<a href="../binaryclass/news20_scw.html">
- <b>6.2.3.</b>
+ <b>6.3.3.</b>
CW, AROW, SCW
@@ -944,12 +965,12 @@
</li>
- <li class="chapter " data-level="6.2.4" data-path="../binaryclass/news20_adagrad.html">
+ <li class="chapter " data-level="6.3.4" data-path="../binaryclass/news20_adagrad.html">
<a href="../binaryclass/news20_adagrad.html">
- <b>6.2.4.</b>
+ <b>6.3.4.</b>
AdaGradRDA, AdaGrad, AdaDelta
@@ -964,14 +985,14 @@
</li>
- <li class="chapter " data-level="6.3" data-path="../binaryclass/kdd2010a.html">
+ <li class="chapter " data-level="6.4" data-path="../binaryclass/kdd2010a.html">
<a href="../binaryclass/kdd2010a.html">
- <b>6.3.</b>
+ <b>6.4.</b>
- KDD2010a
+ KDD2010a tutorial
</a>
@@ -980,12 +1001,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.3.1" data-path="../binaryclass/kdd2010a_dataset.html">
+ <li class="chapter " data-level="6.4.1" data-path="../binaryclass/kdd2010a_dataset.html">
<a href="../binaryclass/kdd2010a_dataset.html">
- <b>6.3.1.</b>
+ <b>6.4.1.</b>
Data preparation
@@ -995,12 +1016,12 @@
</li>
- <li class="chapter " data-level="6.3.2" data-path="../binaryclass/kdd2010a_scw.html">
+ <li class="chapter " data-level="6.4.2" data-path="../binaryclass/kdd2010a_scw.html">
<a href="../binaryclass/kdd2010a_scw.html">
- <b>6.3.2.</b>
+ <b>6.4.2.</b>
PA, CW, AROW, SCW
@@ -1015,14 +1036,14 @@
</li>
- <li class="chapter " data-level="6.4" data-path="../binaryclass/kdd2010b.html">
+ <li class="chapter " data-level="6.5" data-path="../binaryclass/kdd2010b.html">
<a href="../binaryclass/kdd2010b.html">
- <b>6.4.</b>
+ <b>6.5.</b>
- KDD2010b
+ KDD2010b tutorial
</a>
@@ -1031,12 +1052,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.4.1" data-path="../binaryclass/kdd2010b_dataset.html">
+ <li class="chapter " data-level="6.5.1" data-path="../binaryclass/kdd2010b_dataset.html">
<a href="../binaryclass/kdd2010b_dataset.html">
- <b>6.4.1.</b>
+ <b>6.5.1.</b>
Data preparation
@@ -1046,12 +1067,12 @@
</li>
- <li class="chapter " data-level="6.4.2" data-path="../binaryclass/kdd2010b_arow.html">
+ <li class="chapter " data-level="6.5.2" data-path="../binaryclass/kdd2010b_arow.html">
<a href="../binaryclass/kdd2010b_arow.html">
- <b>6.4.2.</b>
+ <b>6.5.2.</b>
AROW
@@ -1066,14 +1087,14 @@
</li>
- <li class="chapter " data-level="6.5" data-path="../binaryclass/webspam.html">
+ <li class="chapter " data-level="6.6" data-path="../binaryclass/webspam.html">
<a href="../binaryclass/webspam.html">
- <b>6.5.</b>
+ <b>6.6.</b>
- Webspam
+ Webspam tutorial
</a>
@@ -1082,12 +1103,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.5.1" data-path="../binaryclass/webspam_dataset.html">
+ <li class="chapter " data-level="6.6.1" data-path="../binaryclass/webspam_dataset.html">
<a href="../binaryclass/webspam_dataset.html">
- <b>6.5.1.</b>
+ <b>6.6.1.</b>
Data pareparation
@@ -1097,12 +1118,12 @@
</li>
- <li class="chapter " data-level="6.5.2" data-path="../binaryclass/webspam_scw.html">
+ <li class="chapter " data-level="6.6.2" data-path="../binaryclass/webspam_scw.html">
<a href="../binaryclass/webspam_scw.html">
- <b>6.5.2.</b>
+ <b>6.6.2.</b>
PA1, AROW, SCW
@@ -1117,14 +1138,14 @@
</li>
- <li class="chapter " data-level="6.6" data-path="../binaryclass/titanic_rf.html">
+ <li class="chapter " data-level="6.7" data-path="../binaryclass/titanic_rf.html">
<a href="../binaryclass/titanic_rf.html">
- <b>6.6.</b>
+ <b>6.7.</b>
- Kaggle Titanic
+ Kaggle Titanic tutorial
</a>
@@ -1135,7 +1156,7 @@
- <li class="header">Part VII - Multiclass classification tutorials</li>
+ <li class="header">Part VII - Multiclass classification</li>
@@ -1146,7 +1167,7 @@
<b>7.1.</b>
- News20 Multiclass
+ News20 Multiclass tutorial
</a>
@@ -1257,7 +1278,7 @@
<b>7.2.</b>
- Iris
+ Iris tutorial
</a>
@@ -1319,18 +1340,33 @@
- <li class="header">Part VIII - Regression tutorials</li>
+ <li class="header">Part VIII - Regression</li>
- <li class="chapter " data-level="8.1" data-path="../regression/e2006.html">
+ <li class="chapter " data-level="8.1" data-path="../regression/general.html">
- <a href="../regression/e2006.html">
+ <a href="../regression/general.html">
<b>8.1.</b>
- E2006-tfidf regression
+ Regression
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="8.2" data-path="../regression/e2006.html">
+
+ <a href="../regression/e2006.html">
+
+
+ <b>8.2.</b>
+
+ E2006-tfidf regression tutorial
</a>
@@ -1339,12 +1375,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.1.1" data-path="../regression/e2006_dataset.html">
+ <li class="chapter " data-level="8.2.1" data-path="../regression/e2006_dataset.html">
<a href="../regression/e2006_dataset.html">
- <b>8.1.1.</b>
+ <b>8.2.1.</b>
Data preparation
@@ -1354,12 +1390,12 @@
</li>
- <li class="chapter " data-level="8.1.2" data-path="../regression/e2006_arow.html">
+ <li class="chapter " data-level="8.2.2" data-path="../regression/e2006_arow.html">
<a href="../regression/e2006_arow.html">
- <b>8.1.2.</b>
+ <b>8.2.2.</b>
Passive Aggressive, AROW
@@ -1374,14 +1410,14 @@
</li>
- <li class="chapter " data-level="8.2" data-path="../regression/kddcup12tr2.html">
+ <li class="chapter " data-level="8.3" data-path="../regression/kddcup12tr2.html">
<a href="../regression/kddcup12tr2.html">
- <b>8.2.</b>
+ <b>8.3.</b>
- KDDCup 2012 track 2 CTR prediction
+ KDDCup 2012 track 2 CTR prediction tutorial
</a>
@@ -1390,12 +1426,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.2.1" data-path="../regression/kddcup12tr2_dataset.html">
+ <li class="chapter " data-level="8.3.1" data-path="../regression/kddcup12tr2_dataset.html">
<a href="../regression/kddcup12tr2_dataset.html">
- <b>8.2.1.</b>
+ <b>8.3.1.</b>
Data preparation
@@ -1405,12 +1441,12 @@
</li>
- <li class="chapter " data-level="8.2.2" data-path="../regression/kddcup12tr2_lr.html">
+ <li class="chapter " data-level="8.3.2" data-path="../regression/kddcup12tr2_lr.html">
<a href="../regression/kddcup12tr2_lr.html">
- <b>8.2.2.</b>
+ <b>8.3.2.</b>
Logistic Regression, Passive Aggressive
@@ -1420,12 +1456,12 @@
</li>
- <li class="chapter " data-level="8.2.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
+ <li class="chapter " data-level="8.3.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
<a href="../regression/kddcup12tr2_lr_amplify.html">
- <b>8.2.3.</b>
+ <b>8.3.3.</b>
Logistic Regression with Amplifier
@@ -1435,12 +1471,12 @@
</li>
- <li class="chapter " data-level="8.2.4" data-path="../regression/kddcup12tr2_adagrad.html">
+ <li class="chapter " data-level="8.3.4" data-path="../regression/kddcup12tr2_adagrad.html">
<a href="../regression/kddcup12tr2_adagrad.html">
- <b>8.2.4.</b>
+ <b>8.3.4.</b>
AdaGrad, AdaDelta
@@ -2865,7 +2901,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
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http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/ba518dab/userguide/multiclass/iris.html
----------------------------------------------------------------------
diff --git a/userguide/multiclass/iris.html b/userguide/multiclass/iris.html
index bed2194..3966e20 100644
--- a/userguide/multiclass/iris.html
+++ b/userguide/multiclass/iris.html
@@ -4,7 +4,7 @@
<head>
<meta charset="UTF-8">
<meta content="text/html; charset=utf-8" http-equiv="Content-Type">
- <title>Iris · Hivemall User Manual</title>
+ <title>Iris tutorial · Hivemall User Manual</title>
<meta http-equiv="X-UA-Compatible" content="IE=edge" />
<meta name="description" content="">
<meta name="generator" content="GitBook 3.2.2">
@@ -598,14 +598,30 @@
</li>
- <li class="chapter " data-level="3.5" data-path="../ft_engineering/tfidf.html">
+ <li class="chapter " data-level="3.5" data-path="../ft_engineering/pairing.html">
- <a href="../ft_engineering/tfidf.html">
+ <a href="../ft_engineering/pairing.html">
<b>3.5.</b>
- TF-IDF Calculation
+ FEATURE PAIRING
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="3.5.1" data-path="../ft_engineering/polynomial.html">
+
+ <a href="../ft_engineering/polynomial.html">
+
+
+ <b>3.5.1.</b>
+
+ Polynomial Features
</a>
@@ -613,6 +629,11 @@
</li>
+
+ </ul>
+
+ </li>
+
<li class="chapter " data-level="3.6" data-path="../ft_engineering/ft_trans.html">
<a href="../ft_engineering/ft_trans.html">
@@ -664,6 +685,21 @@
</li>
+ <li class="chapter " data-level="3.7" data-path="../ft_engineering/tfidf.html">
+
+ <a href="../ft_engineering/tfidf.html">
+
+
+ <b>3.7.</b>
+
+ TF-IDF Calculation
+
+ </a>
+
+
+
+ </li>
+
@@ -761,7 +797,7 @@
- <li class="header">Part V - Prediction</li>
+ <li class="header">Part V - Supervised Learning</li>
@@ -780,27 +816,19 @@
</li>
- <li class="chapter " data-level="5.2" data-path="../regression/general.html">
-
- <a href="../regression/general.html">
-
-
- <b>5.2.</b>
-
- Regression
-
- </a>
-
-
- </li>
- <li class="chapter " data-level="5.3" data-path="../binaryclass/general.html">
+
+ <li class="header">Part VI - Binary classification</li>
+
+
+
+ <li class="chapter " data-level="6.1" data-path="../binaryclass/general.html">
<a href="../binaryclass/general.html">
- <b>5.3.</b>
+ <b>6.1.</b>
Binary Classification
@@ -810,21 +838,14 @@
</li>
-
-
-
- <li class="header">Part VI - Binary classification tutorials</li>
-
-
-
- <li class="chapter " data-level="6.1" data-path="../binaryclass/a9a.html">
+ <li class="chapter " data-level="6.2" data-path="../binaryclass/a9a.html">
<a href="../binaryclass/a9a.html">
- <b>6.1.</b>
+ <b>6.2.</b>
- a9a
+ a9a tutorial
</a>
@@ -833,12 +854,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.1.1" data-path="../binaryclass/a9a_dataset.html">
+ <li class="chapter " data-level="6.2.1" data-path="../binaryclass/a9a_dataset.html">
<a href="../binaryclass/a9a_dataset.html">
- <b>6.1.1.</b>
+ <b>6.2.1.</b>
Data preparation
@@ -848,12 +869,12 @@
</li>
- <li class="chapter " data-level="6.1.2" data-path="../binaryclass/a9a_lr.html">
+ <li class="chapter " data-level="6.2.2" data-path="../binaryclass/a9a_lr.html">
<a href="../binaryclass/a9a_lr.html">
- <b>6.1.2.</b>
+ <b>6.2.2.</b>
Logistic Regression
@@ -863,12 +884,12 @@
</li>
- <li class="chapter " data-level="6.1.3" data-path="../binaryclass/a9a_minibatch.html">
+ <li class="chapter " data-level="6.2.3" data-path="../binaryclass/a9a_minibatch.html">
<a href="../binaryclass/a9a_minibatch.html">
- <b>6.1.3.</b>
+ <b>6.2.3.</b>
Mini-batch Gradient Descent
@@ -883,14 +904,14 @@
</li>
- <li class="chapter " data-level="6.2" data-path="../binaryclass/news20.html">
+ <li class="chapter " data-level="6.3" data-path="../binaryclass/news20.html">
<a href="../binaryclass/news20.html">
- <b>6.2.</b>
+ <b>6.3.</b>
- News20
+ News20 tutorial
</a>
@@ -899,12 +920,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.2.1" data-path="../binaryclass/news20_dataset.html">
+ <li class="chapter " data-level="6.3.1" data-path="../binaryclass/news20_dataset.html">
<a href="../binaryclass/news20_dataset.html">
- <b>6.2.1.</b>
+ <b>6.3.1.</b>
Data preparation
@@ -914,12 +935,12 @@
</li>
- <li class="chapter " data-level="6.2.2" data-path="../binaryclass/news20_pa.html">
+ <li class="chapter " data-level="6.3.2" data-path="../binaryclass/news20_pa.html">
<a href="../binaryclass/news20_pa.html">
- <b>6.2.2.</b>
+ <b>6.3.2.</b>
Perceptron, Passive Aggressive
@@ -929,12 +950,12 @@
</li>
- <li class="chapter " data-level="6.2.3" data-path="../binaryclass/news20_scw.html">
+ <li class="chapter " data-level="6.3.3" data-path="../binaryclass/news20_scw.html">
<a href="../binaryclass/news20_scw.html">
- <b>6.2.3.</b>
+ <b>6.3.3.</b>
CW, AROW, SCW
@@ -944,12 +965,12 @@
</li>
- <li class="chapter " data-level="6.2.4" data-path="../binaryclass/news20_adagrad.html">
+ <li class="chapter " data-level="6.3.4" data-path="../binaryclass/news20_adagrad.html">
<a href="../binaryclass/news20_adagrad.html">
- <b>6.2.4.</b>
+ <b>6.3.4.</b>
AdaGradRDA, AdaGrad, AdaDelta
@@ -964,14 +985,14 @@
</li>
- <li class="chapter " data-level="6.3" data-path="../binaryclass/kdd2010a.html">
+ <li class="chapter " data-level="6.4" data-path="../binaryclass/kdd2010a.html">
<a href="../binaryclass/kdd2010a.html">
- <b>6.3.</b>
+ <b>6.4.</b>
- KDD2010a
+ KDD2010a tutorial
</a>
@@ -980,12 +1001,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.3.1" data-path="../binaryclass/kdd2010a_dataset.html">
+ <li class="chapter " data-level="6.4.1" data-path="../binaryclass/kdd2010a_dataset.html">
<a href="../binaryclass/kdd2010a_dataset.html">
- <b>6.3.1.</b>
+ <b>6.4.1.</b>
Data preparation
@@ -995,12 +1016,12 @@
</li>
- <li class="chapter " data-level="6.3.2" data-path="../binaryclass/kdd2010a_scw.html">
+ <li class="chapter " data-level="6.4.2" data-path="../binaryclass/kdd2010a_scw.html">
<a href="../binaryclass/kdd2010a_scw.html">
- <b>6.3.2.</b>
+ <b>6.4.2.</b>
PA, CW, AROW, SCW
@@ -1015,14 +1036,14 @@
</li>
- <li class="chapter " data-level="6.4" data-path="../binaryclass/kdd2010b.html">
+ <li class="chapter " data-level="6.5" data-path="../binaryclass/kdd2010b.html">
<a href="../binaryclass/kdd2010b.html">
- <b>6.4.</b>
+ <b>6.5.</b>
- KDD2010b
+ KDD2010b tutorial
</a>
@@ -1031,12 +1052,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.4.1" data-path="../binaryclass/kdd2010b_dataset.html">
+ <li class="chapter " data-level="6.5.1" data-path="../binaryclass/kdd2010b_dataset.html">
<a href="../binaryclass/kdd2010b_dataset.html">
- <b>6.4.1.</b>
+ <b>6.5.1.</b>
Data preparation
@@ -1046,12 +1067,12 @@
</li>
- <li class="chapter " data-level="6.4.2" data-path="../binaryclass/kdd2010b_arow.html">
+ <li class="chapter " data-level="6.5.2" data-path="../binaryclass/kdd2010b_arow.html">
<a href="../binaryclass/kdd2010b_arow.html">
- <b>6.4.2.</b>
+ <b>6.5.2.</b>
AROW
@@ -1066,14 +1087,14 @@
</li>
- <li class="chapter " data-level="6.5" data-path="../binaryclass/webspam.html">
+ <li class="chapter " data-level="6.6" data-path="../binaryclass/webspam.html">
<a href="../binaryclass/webspam.html">
- <b>6.5.</b>
+ <b>6.6.</b>
- Webspam
+ Webspam tutorial
</a>
@@ -1082,12 +1103,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.5.1" data-path="../binaryclass/webspam_dataset.html">
+ <li class="chapter " data-level="6.6.1" data-path="../binaryclass/webspam_dataset.html">
<a href="../binaryclass/webspam_dataset.html">
- <b>6.5.1.</b>
+ <b>6.6.1.</b>
Data pareparation
@@ -1097,12 +1118,12 @@
</li>
- <li class="chapter " data-level="6.5.2" data-path="../binaryclass/webspam_scw.html">
+ <li class="chapter " data-level="6.6.2" data-path="../binaryclass/webspam_scw.html">
<a href="../binaryclass/webspam_scw.html">
- <b>6.5.2.</b>
+ <b>6.6.2.</b>
PA1, AROW, SCW
@@ -1117,14 +1138,14 @@
</li>
- <li class="chapter " data-level="6.6" data-path="../binaryclass/titanic_rf.html">
+ <li class="chapter " data-level="6.7" data-path="../binaryclass/titanic_rf.html">
<a href="../binaryclass/titanic_rf.html">
- <b>6.6.</b>
+ <b>6.7.</b>
- Kaggle Titanic
+ Kaggle Titanic tutorial
</a>
@@ -1135,7 +1156,7 @@
- <li class="header">Part VII - Multiclass classification tutorials</li>
+ <li class="header">Part VII - Multiclass classification</li>
@@ -1146,7 +1167,7 @@
<b>7.1.</b>
- News20 Multiclass
+ News20 Multiclass tutorial
</a>
@@ -1257,7 +1278,7 @@
<b>7.2.</b>
- Iris
+ Iris tutorial
</a>
@@ -1319,18 +1340,33 @@
- <li class="header">Part VIII - Regression tutorials</li>
+ <li class="header">Part VIII - Regression</li>
- <li class="chapter " data-level="8.1" data-path="../regression/e2006.html">
+ <li class="chapter " data-level="8.1" data-path="../regression/general.html">
- <a href="../regression/e2006.html">
+ <a href="../regression/general.html">
<b>8.1.</b>
- E2006-tfidf regression
+ Regression
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="8.2" data-path="../regression/e2006.html">
+
+ <a href="../regression/e2006.html">
+
+
+ <b>8.2.</b>
+
+ E2006-tfidf regression tutorial
</a>
@@ -1339,12 +1375,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.1.1" data-path="../regression/e2006_dataset.html">
+ <li class="chapter " data-level="8.2.1" data-path="../regression/e2006_dataset.html">
<a href="../regression/e2006_dataset.html">
- <b>8.1.1.</b>
+ <b>8.2.1.</b>
Data preparation
@@ -1354,12 +1390,12 @@
</li>
- <li class="chapter " data-level="8.1.2" data-path="../regression/e2006_arow.html">
+ <li class="chapter " data-level="8.2.2" data-path="../regression/e2006_arow.html">
<a href="../regression/e2006_arow.html">
- <b>8.1.2.</b>
+ <b>8.2.2.</b>
Passive Aggressive, AROW
@@ -1374,14 +1410,14 @@
</li>
- <li class="chapter " data-level="8.2" data-path="../regression/kddcup12tr2.html">
+ <li class="chapter " data-level="8.3" data-path="../regression/kddcup12tr2.html">
<a href="../regression/kddcup12tr2.html">
- <b>8.2.</b>
+ <b>8.3.</b>
- KDDCup 2012 track 2 CTR prediction
+ KDDCup 2012 track 2 CTR prediction tutorial
</a>
@@ -1390,12 +1426,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.2.1" data-path="../regression/kddcup12tr2_dataset.html">
+ <li class="chapter " data-level="8.3.1" data-path="../regression/kddcup12tr2_dataset.html">
<a href="../regression/kddcup12tr2_dataset.html">
- <b>8.2.1.</b>
+ <b>8.3.1.</b>
Data preparation
@@ -1405,12 +1441,12 @@
</li>
- <li class="chapter " data-level="8.2.2" data-path="../regression/kddcup12tr2_lr.html">
+ <li class="chapter " data-level="8.3.2" data-path="../regression/kddcup12tr2_lr.html">
<a href="../regression/kddcup12tr2_lr.html">
- <b>8.2.2.</b>
+ <b>8.3.2.</b>
Logistic Regression, Passive Aggressive
@@ -1420,12 +1456,12 @@
</li>
- <li class="chapter " data-level="8.2.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
+ <li class="chapter " data-level="8.3.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
<a href="../regression/kddcup12tr2_lr_amplify.html">
- <b>8.2.3.</b>
+ <b>8.3.3.</b>
Logistic Regression with Amplifier
@@ -1435,12 +1471,12 @@
</li>
- <li class="chapter " data-level="8.2.4" data-path="../regression/kddcup12tr2_adagrad.html">
+ <li class="chapter " data-level="8.3.4" data-path="../regression/kddcup12tr2_adagrad.html">
<a href="../regression/kddcup12tr2_adagrad.html">
- <b>8.2.4.</b>
+ <b>8.3.4.</b>
AdaGrad, AdaDelta
@@ -2041,7 +2077,7 @@
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<h1>
<i class="fa fa-circle-o-notch fa-spin"></i>
- <a href=".." >Iris</a>
+ <a href=".." >Iris tutorial</a>
</h1>
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@@ -2129,7 +2165,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
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http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/ba518dab/userguide/multiclass/iris_dataset.html
----------------------------------------------------------------------
diff --git a/userguide/multiclass/iris_dataset.html b/userguide/multiclass/iris_dataset.html
index 250804a..0b3f6d0 100644
--- a/userguide/multiclass/iris_dataset.html
+++ b/userguide/multiclass/iris_dataset.html
@@ -598,14 +598,30 @@
</li>
- <li class="chapter " data-level="3.5" data-path="../ft_engineering/tfidf.html">
+ <li class="chapter " data-level="3.5" data-path="../ft_engineering/pairing.html">
- <a href="../ft_engineering/tfidf.html">
+ <a href="../ft_engineering/pairing.html">
<b>3.5.</b>
- TF-IDF Calculation
+ FEATURE PAIRING
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="3.5.1" data-path="../ft_engineering/polynomial.html">
+
+ <a href="../ft_engineering/polynomial.html">
+
+
+ <b>3.5.1.</b>
+
+ Polynomial Features
</a>
@@ -613,6 +629,11 @@
</li>
+
+ </ul>
+
+ </li>
+
<li class="chapter " data-level="3.6" data-path="../ft_engineering/ft_trans.html">
<a href="../ft_engineering/ft_trans.html">
@@ -664,6 +685,21 @@
</li>
+ <li class="chapter " data-level="3.7" data-path="../ft_engineering/tfidf.html">
+
+ <a href="../ft_engineering/tfidf.html">
+
+
+ <b>3.7.</b>
+
+ TF-IDF Calculation
+
+ </a>
+
+
+
+ </li>
+
@@ -761,7 +797,7 @@
- <li class="header">Part V - Prediction</li>
+ <li class="header">Part V - Supervised Learning</li>
@@ -780,27 +816,19 @@
</li>
- <li class="chapter " data-level="5.2" data-path="../regression/general.html">
-
- <a href="../regression/general.html">
-
-
- <b>5.2.</b>
-
- Regression
-
- </a>
-
-
- </li>
- <li class="chapter " data-level="5.3" data-path="../binaryclass/general.html">
+
+ <li class="header">Part VI - Binary classification</li>
+
+
+
+ <li class="chapter " data-level="6.1" data-path="../binaryclass/general.html">
<a href="../binaryclass/general.html">
- <b>5.3.</b>
+ <b>6.1.</b>
Binary Classification
@@ -810,21 +838,14 @@
</li>
-
-
-
- <li class="header">Part VI - Binary classification tutorials</li>
-
-
-
- <li class="chapter " data-level="6.1" data-path="../binaryclass/a9a.html">
+ <li class="chapter " data-level="6.2" data-path="../binaryclass/a9a.html">
<a href="../binaryclass/a9a.html">
- <b>6.1.</b>
+ <b>6.2.</b>
- a9a
+ a9a tutorial
</a>
@@ -833,12 +854,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.1.1" data-path="../binaryclass/a9a_dataset.html">
+ <li class="chapter " data-level="6.2.1" data-path="../binaryclass/a9a_dataset.html">
<a href="../binaryclass/a9a_dataset.html">
- <b>6.1.1.</b>
+ <b>6.2.1.</b>
Data preparation
@@ -848,12 +869,12 @@
</li>
- <li class="chapter " data-level="6.1.2" data-path="../binaryclass/a9a_lr.html">
+ <li class="chapter " data-level="6.2.2" data-path="../binaryclass/a9a_lr.html">
<a href="../binaryclass/a9a_lr.html">
- <b>6.1.2.</b>
+ <b>6.2.2.</b>
Logistic Regression
@@ -863,12 +884,12 @@
</li>
- <li class="chapter " data-level="6.1.3" data-path="../binaryclass/a9a_minibatch.html">
+ <li class="chapter " data-level="6.2.3" data-path="../binaryclass/a9a_minibatch.html">
<a href="../binaryclass/a9a_minibatch.html">
- <b>6.1.3.</b>
+ <b>6.2.3.</b>
Mini-batch Gradient Descent
@@ -883,14 +904,14 @@
</li>
- <li class="chapter " data-level="6.2" data-path="../binaryclass/news20.html">
+ <li class="chapter " data-level="6.3" data-path="../binaryclass/news20.html">
<a href="../binaryclass/news20.html">
- <b>6.2.</b>
+ <b>6.3.</b>
- News20
+ News20 tutorial
</a>
@@ -899,12 +920,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.2.1" data-path="../binaryclass/news20_dataset.html">
+ <li class="chapter " data-level="6.3.1" data-path="../binaryclass/news20_dataset.html">
<a href="../binaryclass/news20_dataset.html">
- <b>6.2.1.</b>
+ <b>6.3.1.</b>
Data preparation
@@ -914,12 +935,12 @@
</li>
- <li class="chapter " data-level="6.2.2" data-path="../binaryclass/news20_pa.html">
+ <li class="chapter " data-level="6.3.2" data-path="../binaryclass/news20_pa.html">
<a href="../binaryclass/news20_pa.html">
- <b>6.2.2.</b>
+ <b>6.3.2.</b>
Perceptron, Passive Aggressive
@@ -929,12 +950,12 @@
</li>
- <li class="chapter " data-level="6.2.3" data-path="../binaryclass/news20_scw.html">
+ <li class="chapter " data-level="6.3.3" data-path="../binaryclass/news20_scw.html">
<a href="../binaryclass/news20_scw.html">
- <b>6.2.3.</b>
+ <b>6.3.3.</b>
CW, AROW, SCW
@@ -944,12 +965,12 @@
</li>
- <li class="chapter " data-level="6.2.4" data-path="../binaryclass/news20_adagrad.html">
+ <li class="chapter " data-level="6.3.4" data-path="../binaryclass/news20_adagrad.html">
<a href="../binaryclass/news20_adagrad.html">
- <b>6.2.4.</b>
+ <b>6.3.4.</b>
AdaGradRDA, AdaGrad, AdaDelta
@@ -964,14 +985,14 @@
</li>
- <li class="chapter " data-level="6.3" data-path="../binaryclass/kdd2010a.html">
+ <li class="chapter " data-level="6.4" data-path="../binaryclass/kdd2010a.html">
<a href="../binaryclass/kdd2010a.html">
- <b>6.3.</b>
+ <b>6.4.</b>
- KDD2010a
+ KDD2010a tutorial
</a>
@@ -980,12 +1001,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.3.1" data-path="../binaryclass/kdd2010a_dataset.html">
+ <li class="chapter " data-level="6.4.1" data-path="../binaryclass/kdd2010a_dataset.html">
<a href="../binaryclass/kdd2010a_dataset.html">
- <b>6.3.1.</b>
+ <b>6.4.1.</b>
Data preparation
@@ -995,12 +1016,12 @@
</li>
- <li class="chapter " data-level="6.3.2" data-path="../binaryclass/kdd2010a_scw.html">
+ <li class="chapter " data-level="6.4.2" data-path="../binaryclass/kdd2010a_scw.html">
<a href="../binaryclass/kdd2010a_scw.html">
- <b>6.3.2.</b>
+ <b>6.4.2.</b>
PA, CW, AROW, SCW
@@ -1015,14 +1036,14 @@
</li>
- <li class="chapter " data-level="6.4" data-path="../binaryclass/kdd2010b.html">
+ <li class="chapter " data-level="6.5" data-path="../binaryclass/kdd2010b.html">
<a href="../binaryclass/kdd2010b.html">
- <b>6.4.</b>
+ <b>6.5.</b>
- KDD2010b
+ KDD2010b tutorial
</a>
@@ -1031,12 +1052,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.4.1" data-path="../binaryclass/kdd2010b_dataset.html">
+ <li class="chapter " data-level="6.5.1" data-path="../binaryclass/kdd2010b_dataset.html">
<a href="../binaryclass/kdd2010b_dataset.html">
- <b>6.4.1.</b>
+ <b>6.5.1.</b>
Data preparation
@@ -1046,12 +1067,12 @@
</li>
- <li class="chapter " data-level="6.4.2" data-path="../binaryclass/kdd2010b_arow.html">
+ <li class="chapter " data-level="6.5.2" data-path="../binaryclass/kdd2010b_arow.html">
<a href="../binaryclass/kdd2010b_arow.html">
- <b>6.4.2.</b>
+ <b>6.5.2.</b>
AROW
@@ -1066,14 +1087,14 @@
</li>
- <li class="chapter " data-level="6.5" data-path="../binaryclass/webspam.html">
+ <li class="chapter " data-level="6.6" data-path="../binaryclass/webspam.html">
<a href="../binaryclass/webspam.html">
- <b>6.5.</b>
+ <b>6.6.</b>
- Webspam
+ Webspam tutorial
</a>
@@ -1082,12 +1103,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.5.1" data-path="../binaryclass/webspam_dataset.html">
+ <li class="chapter " data-level="6.6.1" data-path="../binaryclass/webspam_dataset.html">
<a href="../binaryclass/webspam_dataset.html">
- <b>6.5.1.</b>
+ <b>6.6.1.</b>
Data pareparation
@@ -1097,12 +1118,12 @@
</li>
- <li class="chapter " data-level="6.5.2" data-path="../binaryclass/webspam_scw.html">
+ <li class="chapter " data-level="6.6.2" data-path="../binaryclass/webspam_scw.html">
<a href="../binaryclass/webspam_scw.html">
- <b>6.5.2.</b>
+ <b>6.6.2.</b>
PA1, AROW, SCW
@@ -1117,14 +1138,14 @@
</li>
- <li class="chapter " data-level="6.6" data-path="../binaryclass/titanic_rf.html">
+ <li class="chapter " data-level="6.7" data-path="../binaryclass/titanic_rf.html">
<a href="../binaryclass/titanic_rf.html">
- <b>6.6.</b>
+ <b>6.7.</b>
- Kaggle Titanic
+ Kaggle Titanic tutorial
</a>
@@ -1135,7 +1156,7 @@
- <li class="header">Part VII - Multiclass classification tutorials</li>
+ <li class="header">Part VII - Multiclass classification</li>
@@ -1146,7 +1167,7 @@
<b>7.1.</b>
- News20 Multiclass
+ News20 Multiclass tutorial
</a>
@@ -1257,7 +1278,7 @@
<b>7.2.</b>
- Iris
+ Iris tutorial
</a>
@@ -1319,18 +1340,33 @@
- <li class="header">Part VIII - Regression tutorials</li>
+ <li class="header">Part VIII - Regression</li>
- <li class="chapter " data-level="8.1" data-path="../regression/e2006.html">
+ <li class="chapter " data-level="8.1" data-path="../regression/general.html">
- <a href="../regression/e2006.html">
+ <a href="../regression/general.html">
<b>8.1.</b>
- E2006-tfidf regression
+ Regression
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="8.2" data-path="../regression/e2006.html">
+
+ <a href="../regression/e2006.html">
+
+
+ <b>8.2.</b>
+
+ E2006-tfidf regression tutorial
</a>
@@ -1339,12 +1375,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.1.1" data-path="../regression/e2006_dataset.html">
+ <li class="chapter " data-level="8.2.1" data-path="../regression/e2006_dataset.html">
<a href="../regression/e2006_dataset.html">
- <b>8.1.1.</b>
+ <b>8.2.1.</b>
Data preparation
@@ -1354,12 +1390,12 @@
</li>
- <li class="chapter " data-level="8.1.2" data-path="../regression/e2006_arow.html">
+ <li class="chapter " data-level="8.2.2" data-path="../regression/e2006_arow.html">
<a href="../regression/e2006_arow.html">
- <b>8.1.2.</b>
+ <b>8.2.2.</b>
Passive Aggressive, AROW
@@ -1374,14 +1410,14 @@
</li>
- <li class="chapter " data-level="8.2" data-path="../regression/kddcup12tr2.html">
+ <li class="chapter " data-level="8.3" data-path="../regression/kddcup12tr2.html">
<a href="../regression/kddcup12tr2.html">
- <b>8.2.</b>
+ <b>8.3.</b>
- KDDCup 2012 track 2 CTR prediction
+ KDDCup 2012 track 2 CTR prediction tutorial
</a>
@@ -1390,12 +1426,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.2.1" data-path="../regression/kddcup12tr2_dataset.html">
+ <li class="chapter " data-level="8.3.1" data-path="../regression/kddcup12tr2_dataset.html">
<a href="../regression/kddcup12tr2_dataset.html">
- <b>8.2.1.</b>
+ <b>8.3.1.</b>
Data preparation
@@ -1405,12 +1441,12 @@
</li>
- <li class="chapter " data-level="8.2.2" data-path="../regression/kddcup12tr2_lr.html">
+ <li class="chapter " data-level="8.3.2" data-path="../regression/kddcup12tr2_lr.html">
<a href="../regression/kddcup12tr2_lr.html">
- <b>8.2.2.</b>
+ <b>8.3.2.</b>
Logistic Regression, Passive Aggressive
@@ -1420,12 +1456,12 @@
</li>
- <li class="chapter " data-level="8.2.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
+ <li class="chapter " data-level="8.3.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
<a href="../regression/kddcup12tr2_lr_amplify.html">
- <b>8.2.3.</b>
+ <b>8.3.3.</b>
Logistic Regression with Amplifier
@@ -1435,12 +1471,12 @@
</li>
- <li class="chapter " data-level="8.2.4" data-path="../regression/kddcup12tr2_adagrad.html">
+ <li class="chapter " data-level="8.3.4" data-path="../regression/kddcup12tr2_adagrad.html">
<a href="../regression/kddcup12tr2_adagrad.html">
- <b>8.2.4.</b>
+ <b>8.3.4.</b>
AdaGrad, AdaDelta
@@ -2299,7 +2335,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
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[40/41] incubator-hivemall-site git commit: Added descriptions about
Feature Pairing in the user guide
Posted by my...@apache.org.
http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/ba518dab/userguide/binaryclass/a9a.html
----------------------------------------------------------------------
diff --git a/userguide/binaryclass/a9a.html b/userguide/binaryclass/a9a.html
index 0b70fff..33270ba 100644
--- a/userguide/binaryclass/a9a.html
+++ b/userguide/binaryclass/a9a.html
@@ -4,7 +4,7 @@
<head>
<meta charset="UTF-8">
<meta content="text/html; charset=utf-8" http-equiv="Content-Type">
- <title>a9a · Hivemall User Manual</title>
+ <title>a9a tutorial · Hivemall User Manual</title>
<meta http-equiv="X-UA-Compatible" content="IE=edge" />
<meta name="description" content="">
<meta name="generator" content="GitBook 3.2.2">
@@ -598,14 +598,30 @@
</li>
- <li class="chapter " data-level="3.5" data-path="../ft_engineering/tfidf.html">
+ <li class="chapter " data-level="3.5" data-path="../ft_engineering/pairing.html">
- <a href="../ft_engineering/tfidf.html">
+ <a href="../ft_engineering/pairing.html">
<b>3.5.</b>
- TF-IDF Calculation
+ FEATURE PAIRING
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="3.5.1" data-path="../ft_engineering/polynomial.html">
+
+ <a href="../ft_engineering/polynomial.html">
+
+
+ <b>3.5.1.</b>
+
+ Polynomial Features
</a>
@@ -613,6 +629,11 @@
</li>
+
+ </ul>
+
+ </li>
+
<li class="chapter " data-level="3.6" data-path="../ft_engineering/ft_trans.html">
<a href="../ft_engineering/ft_trans.html">
@@ -664,6 +685,21 @@
</li>
+ <li class="chapter " data-level="3.7" data-path="../ft_engineering/tfidf.html">
+
+ <a href="../ft_engineering/tfidf.html">
+
+
+ <b>3.7.</b>
+
+ TF-IDF Calculation
+
+ </a>
+
+
+
+ </li>
+
@@ -761,7 +797,7 @@
- <li class="header">Part V - Prediction</li>
+ <li class="header">Part V - Supervised Learning</li>
@@ -780,27 +816,19 @@
</li>
- <li class="chapter " data-level="5.2" data-path="../regression/general.html">
-
- <a href="../regression/general.html">
-
-
- <b>5.2.</b>
-
- Regression
-
- </a>
-
-
- </li>
- <li class="chapter " data-level="5.3" data-path="general.html">
+
+ <li class="header">Part VI - Binary classification</li>
+
+
+
+ <li class="chapter " data-level="6.1" data-path="general.html">
<a href="general.html">
- <b>5.3.</b>
+ <b>6.1.</b>
Binary Classification
@@ -810,21 +838,14 @@
</li>
-
-
-
- <li class="header">Part VI - Binary classification tutorials</li>
-
-
-
- <li class="chapter active" data-level="6.1" data-path="a9a.html">
+ <li class="chapter active" data-level="6.2" data-path="a9a.html">
<a href="a9a.html">
- <b>6.1.</b>
+ <b>6.2.</b>
- a9a
+ a9a tutorial
</a>
@@ -833,12 +854,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.1.1" data-path="a9a_dataset.html">
+ <li class="chapter " data-level="6.2.1" data-path="a9a_dataset.html">
<a href="a9a_dataset.html">
- <b>6.1.1.</b>
+ <b>6.2.1.</b>
Data preparation
@@ -848,12 +869,12 @@
</li>
- <li class="chapter " data-level="6.1.2" data-path="a9a_lr.html">
+ <li class="chapter " data-level="6.2.2" data-path="a9a_lr.html">
<a href="a9a_lr.html">
- <b>6.1.2.</b>
+ <b>6.2.2.</b>
Logistic Regression
@@ -863,12 +884,12 @@
</li>
- <li class="chapter " data-level="6.1.3" data-path="a9a_minibatch.html">
+ <li class="chapter " data-level="6.2.3" data-path="a9a_minibatch.html">
<a href="a9a_minibatch.html">
- <b>6.1.3.</b>
+ <b>6.2.3.</b>
Mini-batch Gradient Descent
@@ -883,14 +904,14 @@
</li>
- <li class="chapter " data-level="6.2" data-path="news20.html">
+ <li class="chapter " data-level="6.3" data-path="news20.html">
<a href="news20.html">
- <b>6.2.</b>
+ <b>6.3.</b>
- News20
+ News20 tutorial
</a>
@@ -899,12 +920,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.2.1" data-path="news20_dataset.html">
+ <li class="chapter " data-level="6.3.1" data-path="news20_dataset.html">
<a href="news20_dataset.html">
- <b>6.2.1.</b>
+ <b>6.3.1.</b>
Data preparation
@@ -914,12 +935,12 @@
</li>
- <li class="chapter " data-level="6.2.2" data-path="news20_pa.html">
+ <li class="chapter " data-level="6.3.2" data-path="news20_pa.html">
<a href="news20_pa.html">
- <b>6.2.2.</b>
+ <b>6.3.2.</b>
Perceptron, Passive Aggressive
@@ -929,12 +950,12 @@
</li>
- <li class="chapter " data-level="6.2.3" data-path="news20_scw.html">
+ <li class="chapter " data-level="6.3.3" data-path="news20_scw.html">
<a href="news20_scw.html">
- <b>6.2.3.</b>
+ <b>6.3.3.</b>
CW, AROW, SCW
@@ -944,12 +965,12 @@
</li>
- <li class="chapter " data-level="6.2.4" data-path="news20_adagrad.html">
+ <li class="chapter " data-level="6.3.4" data-path="news20_adagrad.html">
<a href="news20_adagrad.html">
- <b>6.2.4.</b>
+ <b>6.3.4.</b>
AdaGradRDA, AdaGrad, AdaDelta
@@ -964,14 +985,14 @@
</li>
- <li class="chapter " data-level="6.3" data-path="kdd2010a.html">
+ <li class="chapter " data-level="6.4" data-path="kdd2010a.html">
<a href="kdd2010a.html">
- <b>6.3.</b>
+ <b>6.4.</b>
- KDD2010a
+ KDD2010a tutorial
</a>
@@ -980,12 +1001,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.3.1" data-path="kdd2010a_dataset.html">
+ <li class="chapter " data-level="6.4.1" data-path="kdd2010a_dataset.html">
<a href="kdd2010a_dataset.html">
- <b>6.3.1.</b>
+ <b>6.4.1.</b>
Data preparation
@@ -995,12 +1016,12 @@
</li>
- <li class="chapter " data-level="6.3.2" data-path="kdd2010a_scw.html">
+ <li class="chapter " data-level="6.4.2" data-path="kdd2010a_scw.html">
<a href="kdd2010a_scw.html">
- <b>6.3.2.</b>
+ <b>6.4.2.</b>
PA, CW, AROW, SCW
@@ -1015,14 +1036,14 @@
</li>
- <li class="chapter " data-level="6.4" data-path="kdd2010b.html">
+ <li class="chapter " data-level="6.5" data-path="kdd2010b.html">
<a href="kdd2010b.html">
- <b>6.4.</b>
+ <b>6.5.</b>
- KDD2010b
+ KDD2010b tutorial
</a>
@@ -1031,12 +1052,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.4.1" data-path="kdd2010b_dataset.html">
+ <li class="chapter " data-level="6.5.1" data-path="kdd2010b_dataset.html">
<a href="kdd2010b_dataset.html">
- <b>6.4.1.</b>
+ <b>6.5.1.</b>
Data preparation
@@ -1046,12 +1067,12 @@
</li>
- <li class="chapter " data-level="6.4.2" data-path="kdd2010b_arow.html">
+ <li class="chapter " data-level="6.5.2" data-path="kdd2010b_arow.html">
<a href="kdd2010b_arow.html">
- <b>6.4.2.</b>
+ <b>6.5.2.</b>
AROW
@@ -1066,14 +1087,14 @@
</li>
- <li class="chapter " data-level="6.5" data-path="webspam.html">
+ <li class="chapter " data-level="6.6" data-path="webspam.html">
<a href="webspam.html">
- <b>6.5.</b>
+ <b>6.6.</b>
- Webspam
+ Webspam tutorial
</a>
@@ -1082,12 +1103,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.5.1" data-path="webspam_dataset.html">
+ <li class="chapter " data-level="6.6.1" data-path="webspam_dataset.html">
<a href="webspam_dataset.html">
- <b>6.5.1.</b>
+ <b>6.6.1.</b>
Data pareparation
@@ -1097,12 +1118,12 @@
</li>
- <li class="chapter " data-level="6.5.2" data-path="webspam_scw.html">
+ <li class="chapter " data-level="6.6.2" data-path="webspam_scw.html">
<a href="webspam_scw.html">
- <b>6.5.2.</b>
+ <b>6.6.2.</b>
PA1, AROW, SCW
@@ -1117,14 +1138,14 @@
</li>
- <li class="chapter " data-level="6.6" data-path="titanic_rf.html">
+ <li class="chapter " data-level="6.7" data-path="titanic_rf.html">
<a href="titanic_rf.html">
- <b>6.6.</b>
+ <b>6.7.</b>
- Kaggle Titanic
+ Kaggle Titanic tutorial
</a>
@@ -1135,7 +1156,7 @@
- <li class="header">Part VII - Multiclass classification tutorials</li>
+ <li class="header">Part VII - Multiclass classification</li>
@@ -1146,7 +1167,7 @@
<b>7.1.</b>
- News20 Multiclass
+ News20 Multiclass tutorial
</a>
@@ -1257,7 +1278,7 @@
<b>7.2.</b>
- Iris
+ Iris tutorial
</a>
@@ -1319,18 +1340,33 @@
- <li class="header">Part VIII - Regression tutorials</li>
+ <li class="header">Part VIII - Regression</li>
- <li class="chapter " data-level="8.1" data-path="../regression/e2006.html">
+ <li class="chapter " data-level="8.1" data-path="../regression/general.html">
- <a href="../regression/e2006.html">
+ <a href="../regression/general.html">
<b>8.1.</b>
- E2006-tfidf regression
+ Regression
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="8.2" data-path="../regression/e2006.html">
+
+ <a href="../regression/e2006.html">
+
+
+ <b>8.2.</b>
+
+ E2006-tfidf regression tutorial
</a>
@@ -1339,12 +1375,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.1.1" data-path="../regression/e2006_dataset.html">
+ <li class="chapter " data-level="8.2.1" data-path="../regression/e2006_dataset.html">
<a href="../regression/e2006_dataset.html">
- <b>8.1.1.</b>
+ <b>8.2.1.</b>
Data preparation
@@ -1354,12 +1390,12 @@
</li>
- <li class="chapter " data-level="8.1.2" data-path="../regression/e2006_arow.html">
+ <li class="chapter " data-level="8.2.2" data-path="../regression/e2006_arow.html">
<a href="../regression/e2006_arow.html">
- <b>8.1.2.</b>
+ <b>8.2.2.</b>
Passive Aggressive, AROW
@@ -1374,14 +1410,14 @@
</li>
- <li class="chapter " data-level="8.2" data-path="../regression/kddcup12tr2.html">
+ <li class="chapter " data-level="8.3" data-path="../regression/kddcup12tr2.html">
<a href="../regression/kddcup12tr2.html">
- <b>8.2.</b>
+ <b>8.3.</b>
- KDDCup 2012 track 2 CTR prediction
+ KDDCup 2012 track 2 CTR prediction tutorial
</a>
@@ -1390,12 +1426,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.2.1" data-path="../regression/kddcup12tr2_dataset.html">
+ <li class="chapter " data-level="8.3.1" data-path="../regression/kddcup12tr2_dataset.html">
<a href="../regression/kddcup12tr2_dataset.html">
- <b>8.2.1.</b>
+ <b>8.3.1.</b>
Data preparation
@@ -1405,12 +1441,12 @@
</li>
- <li class="chapter " data-level="8.2.2" data-path="../regression/kddcup12tr2_lr.html">
+ <li class="chapter " data-level="8.3.2" data-path="../regression/kddcup12tr2_lr.html">
<a href="../regression/kddcup12tr2_lr.html">
- <b>8.2.2.</b>
+ <b>8.3.2.</b>
Logistic Regression, Passive Aggressive
@@ -1420,12 +1456,12 @@
</li>
- <li class="chapter " data-level="8.2.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
+ <li class="chapter " data-level="8.3.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
<a href="../regression/kddcup12tr2_lr_amplify.html">
- <b>8.2.3.</b>
+ <b>8.3.3.</b>
Logistic Regression with Amplifier
@@ -1435,12 +1471,12 @@
</li>
- <li class="chapter " data-level="8.2.4" data-path="../regression/kddcup12tr2_adagrad.html">
+ <li class="chapter " data-level="8.3.4" data-path="../regression/kddcup12tr2_adagrad.html">
<a href="../regression/kddcup12tr2_adagrad.html">
- <b>8.2.4.</b>
+ <b>8.3.4.</b>
AdaGrad, AdaDelta
@@ -2041,7 +2077,7 @@
<!-- Title -->
<h1>
<i class="fa fa-circle-o-notch fa-spin"></i>
- <a href=".." >a9a</a>
+ <a href=".." >a9a tutorial</a>
</h1>
</div>
@@ -2129,7 +2165,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
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----------------------------------------------------------------------
diff --git a/userguide/binaryclass/a9a_dataset.html b/userguide/binaryclass/a9a_dataset.html
index 9023447..801326c 100644
--- a/userguide/binaryclass/a9a_dataset.html
+++ b/userguide/binaryclass/a9a_dataset.html
@@ -598,14 +598,30 @@
</li>
- <li class="chapter " data-level="3.5" data-path="../ft_engineering/tfidf.html">
+ <li class="chapter " data-level="3.5" data-path="../ft_engineering/pairing.html">
- <a href="../ft_engineering/tfidf.html">
+ <a href="../ft_engineering/pairing.html">
<b>3.5.</b>
- TF-IDF Calculation
+ FEATURE PAIRING
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="3.5.1" data-path="../ft_engineering/polynomial.html">
+
+ <a href="../ft_engineering/polynomial.html">
+
+
+ <b>3.5.1.</b>
+
+ Polynomial Features
</a>
@@ -613,6 +629,11 @@
</li>
+
+ </ul>
+
+ </li>
+
<li class="chapter " data-level="3.6" data-path="../ft_engineering/ft_trans.html">
<a href="../ft_engineering/ft_trans.html">
@@ -664,6 +685,21 @@
</li>
+ <li class="chapter " data-level="3.7" data-path="../ft_engineering/tfidf.html">
+
+ <a href="../ft_engineering/tfidf.html">
+
+
+ <b>3.7.</b>
+
+ TF-IDF Calculation
+
+ </a>
+
+
+
+ </li>
+
@@ -761,7 +797,7 @@
- <li class="header">Part V - Prediction</li>
+ <li class="header">Part V - Supervised Learning</li>
@@ -780,27 +816,19 @@
</li>
- <li class="chapter " data-level="5.2" data-path="../regression/general.html">
-
- <a href="../regression/general.html">
-
-
- <b>5.2.</b>
-
- Regression
-
- </a>
-
-
- </li>
- <li class="chapter " data-level="5.3" data-path="general.html">
+
+ <li class="header">Part VI - Binary classification</li>
+
+
+
+ <li class="chapter " data-level="6.1" data-path="general.html">
<a href="general.html">
- <b>5.3.</b>
+ <b>6.1.</b>
Binary Classification
@@ -810,21 +838,14 @@
</li>
-
-
-
- <li class="header">Part VI - Binary classification tutorials</li>
-
-
-
- <li class="chapter " data-level="6.1" data-path="a9a.html">
+ <li class="chapter " data-level="6.2" data-path="a9a.html">
<a href="a9a.html">
- <b>6.1.</b>
+ <b>6.2.</b>
- a9a
+ a9a tutorial
</a>
@@ -833,12 +854,12 @@
<ul class="articles">
- <li class="chapter active" data-level="6.1.1" data-path="a9a_dataset.html">
+ <li class="chapter active" data-level="6.2.1" data-path="a9a_dataset.html">
<a href="a9a_dataset.html">
- <b>6.1.1.</b>
+ <b>6.2.1.</b>
Data preparation
@@ -848,12 +869,12 @@
</li>
- <li class="chapter " data-level="6.1.2" data-path="a9a_lr.html">
+ <li class="chapter " data-level="6.2.2" data-path="a9a_lr.html">
<a href="a9a_lr.html">
- <b>6.1.2.</b>
+ <b>6.2.2.</b>
Logistic Regression
@@ -863,12 +884,12 @@
</li>
- <li class="chapter " data-level="6.1.3" data-path="a9a_minibatch.html">
+ <li class="chapter " data-level="6.2.3" data-path="a9a_minibatch.html">
<a href="a9a_minibatch.html">
- <b>6.1.3.</b>
+ <b>6.2.3.</b>
Mini-batch Gradient Descent
@@ -883,14 +904,14 @@
</li>
- <li class="chapter " data-level="6.2" data-path="news20.html">
+ <li class="chapter " data-level="6.3" data-path="news20.html">
<a href="news20.html">
- <b>6.2.</b>
+ <b>6.3.</b>
- News20
+ News20 tutorial
</a>
@@ -899,12 +920,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.2.1" data-path="news20_dataset.html">
+ <li class="chapter " data-level="6.3.1" data-path="news20_dataset.html">
<a href="news20_dataset.html">
- <b>6.2.1.</b>
+ <b>6.3.1.</b>
Data preparation
@@ -914,12 +935,12 @@
</li>
- <li class="chapter " data-level="6.2.2" data-path="news20_pa.html">
+ <li class="chapter " data-level="6.3.2" data-path="news20_pa.html">
<a href="news20_pa.html">
- <b>6.2.2.</b>
+ <b>6.3.2.</b>
Perceptron, Passive Aggressive
@@ -929,12 +950,12 @@
</li>
- <li class="chapter " data-level="6.2.3" data-path="news20_scw.html">
+ <li class="chapter " data-level="6.3.3" data-path="news20_scw.html">
<a href="news20_scw.html">
- <b>6.2.3.</b>
+ <b>6.3.3.</b>
CW, AROW, SCW
@@ -944,12 +965,12 @@
</li>
- <li class="chapter " data-level="6.2.4" data-path="news20_adagrad.html">
+ <li class="chapter " data-level="6.3.4" data-path="news20_adagrad.html">
<a href="news20_adagrad.html">
- <b>6.2.4.</b>
+ <b>6.3.4.</b>
AdaGradRDA, AdaGrad, AdaDelta
@@ -964,14 +985,14 @@
</li>
- <li class="chapter " data-level="6.3" data-path="kdd2010a.html">
+ <li class="chapter " data-level="6.4" data-path="kdd2010a.html">
<a href="kdd2010a.html">
- <b>6.3.</b>
+ <b>6.4.</b>
- KDD2010a
+ KDD2010a tutorial
</a>
@@ -980,12 +1001,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.3.1" data-path="kdd2010a_dataset.html">
+ <li class="chapter " data-level="6.4.1" data-path="kdd2010a_dataset.html">
<a href="kdd2010a_dataset.html">
- <b>6.3.1.</b>
+ <b>6.4.1.</b>
Data preparation
@@ -995,12 +1016,12 @@
</li>
- <li class="chapter " data-level="6.3.2" data-path="kdd2010a_scw.html">
+ <li class="chapter " data-level="6.4.2" data-path="kdd2010a_scw.html">
<a href="kdd2010a_scw.html">
- <b>6.3.2.</b>
+ <b>6.4.2.</b>
PA, CW, AROW, SCW
@@ -1015,14 +1036,14 @@
</li>
- <li class="chapter " data-level="6.4" data-path="kdd2010b.html">
+ <li class="chapter " data-level="6.5" data-path="kdd2010b.html">
<a href="kdd2010b.html">
- <b>6.4.</b>
+ <b>6.5.</b>
- KDD2010b
+ KDD2010b tutorial
</a>
@@ -1031,12 +1052,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.4.1" data-path="kdd2010b_dataset.html">
+ <li class="chapter " data-level="6.5.1" data-path="kdd2010b_dataset.html">
<a href="kdd2010b_dataset.html">
- <b>6.4.1.</b>
+ <b>6.5.1.</b>
Data preparation
@@ -1046,12 +1067,12 @@
</li>
- <li class="chapter " data-level="6.4.2" data-path="kdd2010b_arow.html">
+ <li class="chapter " data-level="6.5.2" data-path="kdd2010b_arow.html">
<a href="kdd2010b_arow.html">
- <b>6.4.2.</b>
+ <b>6.5.2.</b>
AROW
@@ -1066,14 +1087,14 @@
</li>
- <li class="chapter " data-level="6.5" data-path="webspam.html">
+ <li class="chapter " data-level="6.6" data-path="webspam.html">
<a href="webspam.html">
- <b>6.5.</b>
+ <b>6.6.</b>
- Webspam
+ Webspam tutorial
</a>
@@ -1082,12 +1103,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.5.1" data-path="webspam_dataset.html">
+ <li class="chapter " data-level="6.6.1" data-path="webspam_dataset.html">
<a href="webspam_dataset.html">
- <b>6.5.1.</b>
+ <b>6.6.1.</b>
Data pareparation
@@ -1097,12 +1118,12 @@
</li>
- <li class="chapter " data-level="6.5.2" data-path="webspam_scw.html">
+ <li class="chapter " data-level="6.6.2" data-path="webspam_scw.html">
<a href="webspam_scw.html">
- <b>6.5.2.</b>
+ <b>6.6.2.</b>
PA1, AROW, SCW
@@ -1117,14 +1138,14 @@
</li>
- <li class="chapter " data-level="6.6" data-path="titanic_rf.html">
+ <li class="chapter " data-level="6.7" data-path="titanic_rf.html">
<a href="titanic_rf.html">
- <b>6.6.</b>
+ <b>6.7.</b>
- Kaggle Titanic
+ Kaggle Titanic tutorial
</a>
@@ -1135,7 +1156,7 @@
- <li class="header">Part VII - Multiclass classification tutorials</li>
+ <li class="header">Part VII - Multiclass classification</li>
@@ -1146,7 +1167,7 @@
<b>7.1.</b>
- News20 Multiclass
+ News20 Multiclass tutorial
</a>
@@ -1257,7 +1278,7 @@
<b>7.2.</b>
- Iris
+ Iris tutorial
</a>
@@ -1319,18 +1340,33 @@
- <li class="header">Part VIII - Regression tutorials</li>
+ <li class="header">Part VIII - Regression</li>
- <li class="chapter " data-level="8.1" data-path="../regression/e2006.html">
+ <li class="chapter " data-level="8.1" data-path="../regression/general.html">
- <a href="../regression/e2006.html">
+ <a href="../regression/general.html">
<b>8.1.</b>
- E2006-tfidf regression
+ Regression
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="8.2" data-path="../regression/e2006.html">
+
+ <a href="../regression/e2006.html">
+
+
+ <b>8.2.</b>
+
+ E2006-tfidf regression tutorial
</a>
@@ -1339,12 +1375,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.1.1" data-path="../regression/e2006_dataset.html">
+ <li class="chapter " data-level="8.2.1" data-path="../regression/e2006_dataset.html">
<a href="../regression/e2006_dataset.html">
- <b>8.1.1.</b>
+ <b>8.2.1.</b>
Data preparation
@@ -1354,12 +1390,12 @@
</li>
- <li class="chapter " data-level="8.1.2" data-path="../regression/e2006_arow.html">
+ <li class="chapter " data-level="8.2.2" data-path="../regression/e2006_arow.html">
<a href="../regression/e2006_arow.html">
- <b>8.1.2.</b>
+ <b>8.2.2.</b>
Passive Aggressive, AROW
@@ -1374,14 +1410,14 @@
</li>
- <li class="chapter " data-level="8.2" data-path="../regression/kddcup12tr2.html">
+ <li class="chapter " data-level="8.3" data-path="../regression/kddcup12tr2.html">
<a href="../regression/kddcup12tr2.html">
- <b>8.2.</b>
+ <b>8.3.</b>
- KDDCup 2012 track 2 CTR prediction
+ KDDCup 2012 track 2 CTR prediction tutorial
</a>
@@ -1390,12 +1426,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.2.1" data-path="../regression/kddcup12tr2_dataset.html">
+ <li class="chapter " data-level="8.3.1" data-path="../regression/kddcup12tr2_dataset.html">
<a href="../regression/kddcup12tr2_dataset.html">
- <b>8.2.1.</b>
+ <b>8.3.1.</b>
Data preparation
@@ -1405,12 +1441,12 @@
</li>
- <li class="chapter " data-level="8.2.2" data-path="../regression/kddcup12tr2_lr.html">
+ <li class="chapter " data-level="8.3.2" data-path="../regression/kddcup12tr2_lr.html">
<a href="../regression/kddcup12tr2_lr.html">
- <b>8.2.2.</b>
+ <b>8.3.2.</b>
Logistic Regression, Passive Aggressive
@@ -1420,12 +1456,12 @@
</li>
- <li class="chapter " data-level="8.2.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
+ <li class="chapter " data-level="8.3.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
<a href="../regression/kddcup12tr2_lr_amplify.html">
- <b>8.2.3.</b>
+ <b>8.3.3.</b>
Logistic Regression with Amplifier
@@ -1435,12 +1471,12 @@
</li>
- <li class="chapter " data-level="8.2.4" data-path="../regression/kddcup12tr2_adagrad.html">
+ <li class="chapter " data-level="8.3.4" data-path="../regression/kddcup12tr2_adagrad.html">
<a href="../regression/kddcup12tr2_adagrad.html">
- <b>8.2.4.</b>
+ <b>8.3.4.</b>
AdaGrad, AdaDelta
@@ -2159,7 +2195,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
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----------------------------------------------------------------------
diff --git a/userguide/binaryclass/a9a_lr.html b/userguide/binaryclass/a9a_lr.html
index e30c247..248cf07 100644
--- a/userguide/binaryclass/a9a_lr.html
+++ b/userguide/binaryclass/a9a_lr.html
@@ -598,14 +598,30 @@
</li>
- <li class="chapter " data-level="3.5" data-path="../ft_engineering/tfidf.html">
+ <li class="chapter " data-level="3.5" data-path="../ft_engineering/pairing.html">
- <a href="../ft_engineering/tfidf.html">
+ <a href="../ft_engineering/pairing.html">
<b>3.5.</b>
- TF-IDF Calculation
+ FEATURE PAIRING
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="3.5.1" data-path="../ft_engineering/polynomial.html">
+
+ <a href="../ft_engineering/polynomial.html">
+
+
+ <b>3.5.1.</b>
+
+ Polynomial Features
</a>
@@ -613,6 +629,11 @@
</li>
+
+ </ul>
+
+ </li>
+
<li class="chapter " data-level="3.6" data-path="../ft_engineering/ft_trans.html">
<a href="../ft_engineering/ft_trans.html">
@@ -664,6 +685,21 @@
</li>
+ <li class="chapter " data-level="3.7" data-path="../ft_engineering/tfidf.html">
+
+ <a href="../ft_engineering/tfidf.html">
+
+
+ <b>3.7.</b>
+
+ TF-IDF Calculation
+
+ </a>
+
+
+
+ </li>
+
@@ -761,7 +797,7 @@
- <li class="header">Part V - Prediction</li>
+ <li class="header">Part V - Supervised Learning</li>
@@ -780,27 +816,19 @@
</li>
- <li class="chapter " data-level="5.2" data-path="../regression/general.html">
-
- <a href="../regression/general.html">
-
-
- <b>5.2.</b>
-
- Regression
-
- </a>
-
-
- </li>
- <li class="chapter " data-level="5.3" data-path="general.html">
+
+ <li class="header">Part VI - Binary classification</li>
+
+
+
+ <li class="chapter " data-level="6.1" data-path="general.html">
<a href="general.html">
- <b>5.3.</b>
+ <b>6.1.</b>
Binary Classification
@@ -810,21 +838,14 @@
</li>
-
-
-
- <li class="header">Part VI - Binary classification tutorials</li>
-
-
-
- <li class="chapter " data-level="6.1" data-path="a9a.html">
+ <li class="chapter " data-level="6.2" data-path="a9a.html">
<a href="a9a.html">
- <b>6.1.</b>
+ <b>6.2.</b>
- a9a
+ a9a tutorial
</a>
@@ -833,12 +854,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.1.1" data-path="a9a_dataset.html">
+ <li class="chapter " data-level="6.2.1" data-path="a9a_dataset.html">
<a href="a9a_dataset.html">
- <b>6.1.1.</b>
+ <b>6.2.1.</b>
Data preparation
@@ -848,12 +869,12 @@
</li>
- <li class="chapter active" data-level="6.1.2" data-path="a9a_lr.html">
+ <li class="chapter active" data-level="6.2.2" data-path="a9a_lr.html">
<a href="a9a_lr.html">
- <b>6.1.2.</b>
+ <b>6.2.2.</b>
Logistic Regression
@@ -863,12 +884,12 @@
</li>
- <li class="chapter " data-level="6.1.3" data-path="a9a_minibatch.html">
+ <li class="chapter " data-level="6.2.3" data-path="a9a_minibatch.html">
<a href="a9a_minibatch.html">
- <b>6.1.3.</b>
+ <b>6.2.3.</b>
Mini-batch Gradient Descent
@@ -883,14 +904,14 @@
</li>
- <li class="chapter " data-level="6.2" data-path="news20.html">
+ <li class="chapter " data-level="6.3" data-path="news20.html">
<a href="news20.html">
- <b>6.2.</b>
+ <b>6.3.</b>
- News20
+ News20 tutorial
</a>
@@ -899,12 +920,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.2.1" data-path="news20_dataset.html">
+ <li class="chapter " data-level="6.3.1" data-path="news20_dataset.html">
<a href="news20_dataset.html">
- <b>6.2.1.</b>
+ <b>6.3.1.</b>
Data preparation
@@ -914,12 +935,12 @@
</li>
- <li class="chapter " data-level="6.2.2" data-path="news20_pa.html">
+ <li class="chapter " data-level="6.3.2" data-path="news20_pa.html">
<a href="news20_pa.html">
- <b>6.2.2.</b>
+ <b>6.3.2.</b>
Perceptron, Passive Aggressive
@@ -929,12 +950,12 @@
</li>
- <li class="chapter " data-level="6.2.3" data-path="news20_scw.html">
+ <li class="chapter " data-level="6.3.3" data-path="news20_scw.html">
<a href="news20_scw.html">
- <b>6.2.3.</b>
+ <b>6.3.3.</b>
CW, AROW, SCW
@@ -944,12 +965,12 @@
</li>
- <li class="chapter " data-level="6.2.4" data-path="news20_adagrad.html">
+ <li class="chapter " data-level="6.3.4" data-path="news20_adagrad.html">
<a href="news20_adagrad.html">
- <b>6.2.4.</b>
+ <b>6.3.4.</b>
AdaGradRDA, AdaGrad, AdaDelta
@@ -964,14 +985,14 @@
</li>
- <li class="chapter " data-level="6.3" data-path="kdd2010a.html">
+ <li class="chapter " data-level="6.4" data-path="kdd2010a.html">
<a href="kdd2010a.html">
- <b>6.3.</b>
+ <b>6.4.</b>
- KDD2010a
+ KDD2010a tutorial
</a>
@@ -980,12 +1001,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.3.1" data-path="kdd2010a_dataset.html">
+ <li class="chapter " data-level="6.4.1" data-path="kdd2010a_dataset.html">
<a href="kdd2010a_dataset.html">
- <b>6.3.1.</b>
+ <b>6.4.1.</b>
Data preparation
@@ -995,12 +1016,12 @@
</li>
- <li class="chapter " data-level="6.3.2" data-path="kdd2010a_scw.html">
+ <li class="chapter " data-level="6.4.2" data-path="kdd2010a_scw.html">
<a href="kdd2010a_scw.html">
- <b>6.3.2.</b>
+ <b>6.4.2.</b>
PA, CW, AROW, SCW
@@ -1015,14 +1036,14 @@
</li>
- <li class="chapter " data-level="6.4" data-path="kdd2010b.html">
+ <li class="chapter " data-level="6.5" data-path="kdd2010b.html">
<a href="kdd2010b.html">
- <b>6.4.</b>
+ <b>6.5.</b>
- KDD2010b
+ KDD2010b tutorial
</a>
@@ -1031,12 +1052,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.4.1" data-path="kdd2010b_dataset.html">
+ <li class="chapter " data-level="6.5.1" data-path="kdd2010b_dataset.html">
<a href="kdd2010b_dataset.html">
- <b>6.4.1.</b>
+ <b>6.5.1.</b>
Data preparation
@@ -1046,12 +1067,12 @@
</li>
- <li class="chapter " data-level="6.4.2" data-path="kdd2010b_arow.html">
+ <li class="chapter " data-level="6.5.2" data-path="kdd2010b_arow.html">
<a href="kdd2010b_arow.html">
- <b>6.4.2.</b>
+ <b>6.5.2.</b>
AROW
@@ -1066,14 +1087,14 @@
</li>
- <li class="chapter " data-level="6.5" data-path="webspam.html">
+ <li class="chapter " data-level="6.6" data-path="webspam.html">
<a href="webspam.html">
- <b>6.5.</b>
+ <b>6.6.</b>
- Webspam
+ Webspam tutorial
</a>
@@ -1082,12 +1103,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.5.1" data-path="webspam_dataset.html">
+ <li class="chapter " data-level="6.6.1" data-path="webspam_dataset.html">
<a href="webspam_dataset.html">
- <b>6.5.1.</b>
+ <b>6.6.1.</b>
Data pareparation
@@ -1097,12 +1118,12 @@
</li>
- <li class="chapter " data-level="6.5.2" data-path="webspam_scw.html">
+ <li class="chapter " data-level="6.6.2" data-path="webspam_scw.html">
<a href="webspam_scw.html">
- <b>6.5.2.</b>
+ <b>6.6.2.</b>
PA1, AROW, SCW
@@ -1117,14 +1138,14 @@
</li>
- <li class="chapter " data-level="6.6" data-path="titanic_rf.html">
+ <li class="chapter " data-level="6.7" data-path="titanic_rf.html">
<a href="titanic_rf.html">
- <b>6.6.</b>
+ <b>6.7.</b>
- Kaggle Titanic
+ Kaggle Titanic tutorial
</a>
@@ -1135,7 +1156,7 @@
- <li class="header">Part VII - Multiclass classification tutorials</li>
+ <li class="header">Part VII - Multiclass classification</li>
@@ -1146,7 +1167,7 @@
<b>7.1.</b>
- News20 Multiclass
+ News20 Multiclass tutorial
</a>
@@ -1257,7 +1278,7 @@
<b>7.2.</b>
- Iris
+ Iris tutorial
</a>
@@ -1319,18 +1340,33 @@
- <li class="header">Part VIII - Regression tutorials</li>
+ <li class="header">Part VIII - Regression</li>
- <li class="chapter " data-level="8.1" data-path="../regression/e2006.html">
+ <li class="chapter " data-level="8.1" data-path="../regression/general.html">
- <a href="../regression/e2006.html">
+ <a href="../regression/general.html">
<b>8.1.</b>
- E2006-tfidf regression
+ Regression
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="8.2" data-path="../regression/e2006.html">
+
+ <a href="../regression/e2006.html">
+
+
+ <b>8.2.</b>
+
+ E2006-tfidf regression tutorial
</a>
@@ -1339,12 +1375,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.1.1" data-path="../regression/e2006_dataset.html">
+ <li class="chapter " data-level="8.2.1" data-path="../regression/e2006_dataset.html">
<a href="../regression/e2006_dataset.html">
- <b>8.1.1.</b>
+ <b>8.2.1.</b>
Data preparation
@@ -1354,12 +1390,12 @@
</li>
- <li class="chapter " data-level="8.1.2" data-path="../regression/e2006_arow.html">
+ <li class="chapter " data-level="8.2.2" data-path="../regression/e2006_arow.html">
<a href="../regression/e2006_arow.html">
- <b>8.1.2.</b>
+ <b>8.2.2.</b>
Passive Aggressive, AROW
@@ -1374,14 +1410,14 @@
</li>
- <li class="chapter " data-level="8.2" data-path="../regression/kddcup12tr2.html">
+ <li class="chapter " data-level="8.3" data-path="../regression/kddcup12tr2.html">
<a href="../regression/kddcup12tr2.html">
- <b>8.2.</b>
+ <b>8.3.</b>
- KDDCup 2012 track 2 CTR prediction
+ KDDCup 2012 track 2 CTR prediction tutorial
</a>
@@ -1390,12 +1426,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.2.1" data-path="../regression/kddcup12tr2_dataset.html">
+ <li class="chapter " data-level="8.3.1" data-path="../regression/kddcup12tr2_dataset.html">
<a href="../regression/kddcup12tr2_dataset.html">
- <b>8.2.1.</b>
+ <b>8.3.1.</b>
Data preparation
@@ -1405,12 +1441,12 @@
</li>
- <li class="chapter " data-level="8.2.2" data-path="../regression/kddcup12tr2_lr.html">
+ <li class="chapter " data-level="8.3.2" data-path="../regression/kddcup12tr2_lr.html">
<a href="../regression/kddcup12tr2_lr.html">
- <b>8.2.2.</b>
+ <b>8.3.2.</b>
Logistic Regression, Passive Aggressive
@@ -1420,12 +1456,12 @@
</li>
- <li class="chapter " data-level="8.2.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
+ <li class="chapter " data-level="8.3.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
<a href="../regression/kddcup12tr2_lr_amplify.html">
- <b>8.2.3.</b>
+ <b>8.3.3.</b>
Logistic Regression with Amplifier
@@ -1435,12 +1471,12 @@
</li>
- <li class="chapter " data-level="8.2.4" data-path="../regression/kddcup12tr2_adagrad.html">
+ <li class="chapter " data-level="8.3.4" data-path="../regression/kddcup12tr2_adagrad.html">
<a href="../regression/kddcup12tr2_adagrad.html">
- <b>8.2.4.</b>
+ <b>8.3.4.</b>
AdaGrad, AdaDelta
@@ -2200,7 +2236,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
<script>
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[22/41] incubator-hivemall-site git commit: Added descriptions about
Feature Pairing in the user guide
Posted by my...@apache.org.
http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/ba518dab/userguide/misc/prediction.html
----------------------------------------------------------------------
diff --git a/userguide/misc/prediction.html b/userguide/misc/prediction.html
index 60204e5..44462aa 100644
--- a/userguide/misc/prediction.html
+++ b/userguide/misc/prediction.html
@@ -97,7 +97,7 @@
<link rel="shortcut icon" href="../gitbook/images/favicon.ico" type="image/x-icon">
- <link rel="next" href="../regression/general.html" />
+ <link rel="next" href="../binaryclass/general.html" />
<link rel="prev" href="../eval/lr_datagen.html" />
@@ -598,14 +598,30 @@
</li>
- <li class="chapter " data-level="3.5" data-path="../ft_engineering/tfidf.html">
+ <li class="chapter " data-level="3.5" data-path="../ft_engineering/pairing.html">
- <a href="../ft_engineering/tfidf.html">
+ <a href="../ft_engineering/pairing.html">
<b>3.5.</b>
- TF-IDF Calculation
+ FEATURE PAIRING
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="3.5.1" data-path="../ft_engineering/polynomial.html">
+
+ <a href="../ft_engineering/polynomial.html">
+
+
+ <b>3.5.1.</b>
+
+ Polynomial Features
</a>
@@ -613,6 +629,11 @@
</li>
+
+ </ul>
+
+ </li>
+
<li class="chapter " data-level="3.6" data-path="../ft_engineering/ft_trans.html">
<a href="../ft_engineering/ft_trans.html">
@@ -664,6 +685,21 @@
</li>
+ <li class="chapter " data-level="3.7" data-path="../ft_engineering/tfidf.html">
+
+ <a href="../ft_engineering/tfidf.html">
+
+
+ <b>3.7.</b>
+
+ TF-IDF Calculation
+
+ </a>
+
+
+
+ </li>
+
@@ -761,7 +797,7 @@
- <li class="header">Part V - Prediction</li>
+ <li class="header">Part V - Supervised Learning</li>
@@ -780,27 +816,19 @@
</li>
- <li class="chapter " data-level="5.2" data-path="../regression/general.html">
-
- <a href="../regression/general.html">
-
-
- <b>5.2.</b>
-
- Regression
-
- </a>
-
-
- </li>
- <li class="chapter " data-level="5.3" data-path="../binaryclass/general.html">
+
+ <li class="header">Part VI - Binary classification</li>
+
+
+
+ <li class="chapter " data-level="6.1" data-path="../binaryclass/general.html">
<a href="../binaryclass/general.html">
- <b>5.3.</b>
+ <b>6.1.</b>
Binary Classification
@@ -810,21 +838,14 @@
</li>
-
-
-
- <li class="header">Part VI - Binary classification tutorials</li>
-
-
-
- <li class="chapter " data-level="6.1" data-path="../binaryclass/a9a.html">
+ <li class="chapter " data-level="6.2" data-path="../binaryclass/a9a.html">
<a href="../binaryclass/a9a.html">
- <b>6.1.</b>
+ <b>6.2.</b>
- a9a
+ a9a tutorial
</a>
@@ -833,12 +854,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.1.1" data-path="../binaryclass/a9a_dataset.html">
+ <li class="chapter " data-level="6.2.1" data-path="../binaryclass/a9a_dataset.html">
<a href="../binaryclass/a9a_dataset.html">
- <b>6.1.1.</b>
+ <b>6.2.1.</b>
Data preparation
@@ -848,12 +869,12 @@
</li>
- <li class="chapter " data-level="6.1.2" data-path="../binaryclass/a9a_lr.html">
+ <li class="chapter " data-level="6.2.2" data-path="../binaryclass/a9a_lr.html">
<a href="../binaryclass/a9a_lr.html">
- <b>6.1.2.</b>
+ <b>6.2.2.</b>
Logistic Regression
@@ -863,12 +884,12 @@
</li>
- <li class="chapter " data-level="6.1.3" data-path="../binaryclass/a9a_minibatch.html">
+ <li class="chapter " data-level="6.2.3" data-path="../binaryclass/a9a_minibatch.html">
<a href="../binaryclass/a9a_minibatch.html">
- <b>6.1.3.</b>
+ <b>6.2.3.</b>
Mini-batch Gradient Descent
@@ -883,14 +904,14 @@
</li>
- <li class="chapter " data-level="6.2" data-path="../binaryclass/news20.html">
+ <li class="chapter " data-level="6.3" data-path="../binaryclass/news20.html">
<a href="../binaryclass/news20.html">
- <b>6.2.</b>
+ <b>6.3.</b>
- News20
+ News20 tutorial
</a>
@@ -899,12 +920,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.2.1" data-path="../binaryclass/news20_dataset.html">
+ <li class="chapter " data-level="6.3.1" data-path="../binaryclass/news20_dataset.html">
<a href="../binaryclass/news20_dataset.html">
- <b>6.2.1.</b>
+ <b>6.3.1.</b>
Data preparation
@@ -914,12 +935,12 @@
</li>
- <li class="chapter " data-level="6.2.2" data-path="../binaryclass/news20_pa.html">
+ <li class="chapter " data-level="6.3.2" data-path="../binaryclass/news20_pa.html">
<a href="../binaryclass/news20_pa.html">
- <b>6.2.2.</b>
+ <b>6.3.2.</b>
Perceptron, Passive Aggressive
@@ -929,12 +950,12 @@
</li>
- <li class="chapter " data-level="6.2.3" data-path="../binaryclass/news20_scw.html">
+ <li class="chapter " data-level="6.3.3" data-path="../binaryclass/news20_scw.html">
<a href="../binaryclass/news20_scw.html">
- <b>6.2.3.</b>
+ <b>6.3.3.</b>
CW, AROW, SCW
@@ -944,12 +965,12 @@
</li>
- <li class="chapter " data-level="6.2.4" data-path="../binaryclass/news20_adagrad.html">
+ <li class="chapter " data-level="6.3.4" data-path="../binaryclass/news20_adagrad.html">
<a href="../binaryclass/news20_adagrad.html">
- <b>6.2.4.</b>
+ <b>6.3.4.</b>
AdaGradRDA, AdaGrad, AdaDelta
@@ -964,14 +985,14 @@
</li>
- <li class="chapter " data-level="6.3" data-path="../binaryclass/kdd2010a.html">
+ <li class="chapter " data-level="6.4" data-path="../binaryclass/kdd2010a.html">
<a href="../binaryclass/kdd2010a.html">
- <b>6.3.</b>
+ <b>6.4.</b>
- KDD2010a
+ KDD2010a tutorial
</a>
@@ -980,12 +1001,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.3.1" data-path="../binaryclass/kdd2010a_dataset.html">
+ <li class="chapter " data-level="6.4.1" data-path="../binaryclass/kdd2010a_dataset.html">
<a href="../binaryclass/kdd2010a_dataset.html">
- <b>6.3.1.</b>
+ <b>6.4.1.</b>
Data preparation
@@ -995,12 +1016,12 @@
</li>
- <li class="chapter " data-level="6.3.2" data-path="../binaryclass/kdd2010a_scw.html">
+ <li class="chapter " data-level="6.4.2" data-path="../binaryclass/kdd2010a_scw.html">
<a href="../binaryclass/kdd2010a_scw.html">
- <b>6.3.2.</b>
+ <b>6.4.2.</b>
PA, CW, AROW, SCW
@@ -1015,14 +1036,14 @@
</li>
- <li class="chapter " data-level="6.4" data-path="../binaryclass/kdd2010b.html">
+ <li class="chapter " data-level="6.5" data-path="../binaryclass/kdd2010b.html">
<a href="../binaryclass/kdd2010b.html">
- <b>6.4.</b>
+ <b>6.5.</b>
- KDD2010b
+ KDD2010b tutorial
</a>
@@ -1031,12 +1052,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.4.1" data-path="../binaryclass/kdd2010b_dataset.html">
+ <li class="chapter " data-level="6.5.1" data-path="../binaryclass/kdd2010b_dataset.html">
<a href="../binaryclass/kdd2010b_dataset.html">
- <b>6.4.1.</b>
+ <b>6.5.1.</b>
Data preparation
@@ -1046,12 +1067,12 @@
</li>
- <li class="chapter " data-level="6.4.2" data-path="../binaryclass/kdd2010b_arow.html">
+ <li class="chapter " data-level="6.5.2" data-path="../binaryclass/kdd2010b_arow.html">
<a href="../binaryclass/kdd2010b_arow.html">
- <b>6.4.2.</b>
+ <b>6.5.2.</b>
AROW
@@ -1066,14 +1087,14 @@
</li>
- <li class="chapter " data-level="6.5" data-path="../binaryclass/webspam.html">
+ <li class="chapter " data-level="6.6" data-path="../binaryclass/webspam.html">
<a href="../binaryclass/webspam.html">
- <b>6.5.</b>
+ <b>6.6.</b>
- Webspam
+ Webspam tutorial
</a>
@@ -1082,12 +1103,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.5.1" data-path="../binaryclass/webspam_dataset.html">
+ <li class="chapter " data-level="6.6.1" data-path="../binaryclass/webspam_dataset.html">
<a href="../binaryclass/webspam_dataset.html">
- <b>6.5.1.</b>
+ <b>6.6.1.</b>
Data pareparation
@@ -1097,12 +1118,12 @@
</li>
- <li class="chapter " data-level="6.5.2" data-path="../binaryclass/webspam_scw.html">
+ <li class="chapter " data-level="6.6.2" data-path="../binaryclass/webspam_scw.html">
<a href="../binaryclass/webspam_scw.html">
- <b>6.5.2.</b>
+ <b>6.6.2.</b>
PA1, AROW, SCW
@@ -1117,14 +1138,14 @@
</li>
- <li class="chapter " data-level="6.6" data-path="../binaryclass/titanic_rf.html">
+ <li class="chapter " data-level="6.7" data-path="../binaryclass/titanic_rf.html">
<a href="../binaryclass/titanic_rf.html">
- <b>6.6.</b>
+ <b>6.7.</b>
- Kaggle Titanic
+ Kaggle Titanic tutorial
</a>
@@ -1135,7 +1156,7 @@
- <li class="header">Part VII - Multiclass classification tutorials</li>
+ <li class="header">Part VII - Multiclass classification</li>
@@ -1146,7 +1167,7 @@
<b>7.1.</b>
- News20 Multiclass
+ News20 Multiclass tutorial
</a>
@@ -1257,7 +1278,7 @@
<b>7.2.</b>
- Iris
+ Iris tutorial
</a>
@@ -1319,18 +1340,33 @@
- <li class="header">Part VIII - Regression tutorials</li>
+ <li class="header">Part VIII - Regression</li>
- <li class="chapter " data-level="8.1" data-path="../regression/e2006.html">
+ <li class="chapter " data-level="8.1" data-path="../regression/general.html">
- <a href="../regression/e2006.html">
+ <a href="../regression/general.html">
<b>8.1.</b>
- E2006-tfidf regression
+ Regression
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="8.2" data-path="../regression/e2006.html">
+
+ <a href="../regression/e2006.html">
+
+
+ <b>8.2.</b>
+
+ E2006-tfidf regression tutorial
</a>
@@ -1339,12 +1375,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.1.1" data-path="../regression/e2006_dataset.html">
+ <li class="chapter " data-level="8.2.1" data-path="../regression/e2006_dataset.html">
<a href="../regression/e2006_dataset.html">
- <b>8.1.1.</b>
+ <b>8.2.1.</b>
Data preparation
@@ -1354,12 +1390,12 @@
</li>
- <li class="chapter " data-level="8.1.2" data-path="../regression/e2006_arow.html">
+ <li class="chapter " data-level="8.2.2" data-path="../regression/e2006_arow.html">
<a href="../regression/e2006_arow.html">
- <b>8.1.2.</b>
+ <b>8.2.2.</b>
Passive Aggressive, AROW
@@ -1374,14 +1410,14 @@
</li>
- <li class="chapter " data-level="8.2" data-path="../regression/kddcup12tr2.html">
+ <li class="chapter " data-level="8.3" data-path="../regression/kddcup12tr2.html">
<a href="../regression/kddcup12tr2.html">
- <b>8.2.</b>
+ <b>8.3.</b>
- KDDCup 2012 track 2 CTR prediction
+ KDDCup 2012 track 2 CTR prediction tutorial
</a>
@@ -1390,12 +1426,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.2.1" data-path="../regression/kddcup12tr2_dataset.html">
+ <li class="chapter " data-level="8.3.1" data-path="../regression/kddcup12tr2_dataset.html">
<a href="../regression/kddcup12tr2_dataset.html">
- <b>8.2.1.</b>
+ <b>8.3.1.</b>
Data preparation
@@ -1405,12 +1441,12 @@
</li>
- <li class="chapter " data-level="8.2.2" data-path="../regression/kddcup12tr2_lr.html">
+ <li class="chapter " data-level="8.3.2" data-path="../regression/kddcup12tr2_lr.html">
<a href="../regression/kddcup12tr2_lr.html">
- <b>8.2.2.</b>
+ <b>8.3.2.</b>
Logistic Regression, Passive Aggressive
@@ -1420,12 +1456,12 @@
</li>
- <li class="chapter " data-level="8.2.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
+ <li class="chapter " data-level="8.3.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
<a href="../regression/kddcup12tr2_lr_amplify.html">
- <b>8.2.3.</b>
+ <b>8.3.3.</b>
Logistic Regression with Amplifier
@@ -1435,12 +1471,12 @@
</li>
- <li class="chapter " data-level="8.2.4" data-path="../regression/kddcup12tr2_adagrad.html">
+ <li class="chapter " data-level="8.3.4" data-path="../regression/kddcup12tr2_adagrad.html">
<a href="../regression/kddcup12tr2_adagrad.html">
- <b>8.2.4.</b>
+ <b>8.3.4.</b>
AdaGrad, AdaDelta
@@ -2176,14 +2212,14 @@
<li><strong>Input:</strong> a vector <span class="katex"><span class="katex-mathml"><math><semantics><mrow><mrow><mi mathvariant="bold">x</mi></mrow></mrow><annotation encoding="application/x-tex">\mathbf{x}</annotation></semantics></math></span><span class="katex-html" aria-hidden="true"><span class="strut" style="height:0.44444em;"></span><span class="strut bottom" style="height:0.44444em;vertical-align:0em;"></span><span class="base textstyle uncramped"><span class="mord textstyle uncramped"><span class="mord mathbf">x</span></span></span></span></span></li>
<li><strong>Output:</strong> a value <span class="katex"><span class="katex-mathml"><math><semantics><mrow><mi>y</mi></mrow><annotation encoding="application/x-tex">y</annotation></semantics></math></span><span class="katex-html" aria-hidden="true"><span class="strut" style="height:0.43056em;"></span><span class="strut bottom" style="height:0.625em;vertical-align:-0.19444em;"></span><span class="base textstyle uncramped"><span class="mord mathit" style="margin-right:0.03588em;">y</span></span></span></span></li>
</ul>
-<p>For a set of samples <span class="katex"><span class="katex-mathml"><math><semantics><mrow><mo>(</mo><msub><mrow><mi mathvariant="bold">x</mi></mrow><mn>1</mn></msub><mo separator="true">,</mo><msub><mi>y</mi><mn>1</mn></msub><mo>)</mo><mo separator="true">,</mo><mo>(</mo><msub><mrow><mi mathvariant="bold">x</mi></mrow><mn>2</mn></msub><mo separator="true">,</mo><msub><mi>y</mi><mn>2</mn></msub><mo>)</mo><mo separator="true">,</mo><mo>⋯</mo><mo separator="true">,</mo><mo>(</mo><msub><mrow><mi mathvariant="bold">x</mi></mrow><mi>n</mi></msub><mo separator="true">,</mo><msub><mi>y</mi><mi>n</mi></msub><mo>)</mo></mrow><annotation encoding="application/x-tex">(\mathbf{x}_1, y_1), (\mathbf{x}_2, y_2), \cdots, (\mathbf{x}_n, y_n)</annotation></semantics></math></span><span class="katex-html" aria-hidden="true"><span class="strut" style="height:0.75em;"></span><span class="strut bottom" style="height:1em;vertical-align:-0.25em;"></span><span class="base textstyle uncramped"><spa
n class="mopen">(</span><span class="mord"><span class="mord textstyle uncramped"><span class="mord mathbf">x</span></span><span class="msupsub"><span class="vlist"><span style="top:0.15em;margin-right:0.05em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="reset-textstyle scriptstyle cramped mtight"><span class="mord mathrm mtight">1</span></span></span><span class="baseline-fix"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span>​</span></span></span></span><span class="mpunct">,</span><span class="mord"><span class="mord mathit" style="margin-right:0.03588em;">y</span><span class="msupsub"><span class="vlist"><span style="top:0.15em;margin-right:0.05em;margin-left:-0.03588em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="reset-textstyle scriptstyle cramped mtight"><span class="mord mathrm mtig
ht">1</span></span></span><span class="baseline-fix"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span>​</span></span></span></span><span class="mclose">)</span><span class="mpunct">,</span><span class="mopen">(</span><span class="mord"><span class="mord textstyle uncramped"><span class="mord mathbf">x</span></span><span class="msupsub"><span class="vlist"><span style="top:0.15em;margin-right:0.05em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="reset-textstyle scriptstyle cramped mtight"><span class="mord mathrm mtight">2</span></span></span><span class="baseline-fix"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span>​</span></span></span></span><span class="mpunct">,</span><span class="mord"><span class="mord mathit" style="margin-right:0.03588em;">y</span><span class="msupsub"><span class="vlist"><spa
n style="top:0.15em;margin-right:0.05em;margin-left:-0.03588em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="reset-textstyle scriptstyle cramped mtight"><span class="mord mathrm mtight">2</span></span></span><span class="baseline-fix"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span>​</span></span></span></span><span class="mclose">)</span><span class="mpunct">,</span><span class="minner">⋯</span><span class="mpunct">,</span><span class="mopen">(</span><span class="mord"><span class="mord textstyle uncramped"><span class="mord mathbf">x</span></span><span class="msupsub"><span class="vlist"><span style="top:0.15em;margin-right:0.05em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="reset-textstyle scriptstyle cramped mtight"><span class="mord mathit mtight">n</span></span></span><span c
lass="baseline-fix"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span>​</span></span></span></span><span class="mpunct">,</span><span class="mord"><span class="mord mathit" style="margin-right:0.03588em;">y</span><span class="msupsub"><span class="vlist"><span style="top:0.15em;margin-right:0.05em;margin-left:-0.03588em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="reset-textstyle scriptstyle cramped mtight"><span class="mord mathit mtight">n</span></span></span><span class="baseline-fix"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span>​</span></span></span></span><span class="mclose">)</span></span></span></span>, the goal of prediction algorithms is to find a weight vector (i.e., parameters) <span class="katex"><span class="katex-mathml"><math><semantics><mrow><mrow><mi mathvariant="bold">w</mi></mr
ow></mrow><annotation encoding="application/x-tex">\mathbf{w}</annotation></semantics></math></span><span class="katex-html" aria-hidden="true"><span class="strut" style="height:0.44444em;"></span><span class="strut bottom" style="height:0.44444em;vertical-align:0em;"></span><span class="base textstyle uncramped"><span class="mord textstyle uncramped"><span class="mord mathbf" style="margin-right:0.01597em;">w</span></span></span></span></span> by minimizing the following error:</p>
+<p>For a set of samples <span class="katex"><span class="katex-mathml"><math><semantics><mrow><mo>(</mo><msub><mrow><mi mathvariant="bold">x</mi></mrow><mn>1</mn></msub><mo separator="true">,</mo><msub><mi>y</mi><mn>1</mn></msub><mo>)</mo><mo separator="true">,</mo><mo>(</mo><msub><mrow><mi mathvariant="bold">x</mi></mrow><mn>2</mn></msub><mo separator="true">,</mo><msub><mi>y</mi><mn>2</mn></msub><mo>)</mo><mo separator="true">,</mo><mo>⋯</mo><mo separator="true">,</mo><mo>(</mo><msub><mrow><mi mathvariant="bold">x</mi></mrow><mi>n</mi></msub><mo separator="true">,</mo><msub><mi>y</mi><mi>n</mi></msub><mo>)</mo></mrow><annotation encoding="application/x-tex">(\mathbf{x}_1, y_1), (\mathbf{x}_2, y_2), \cdots, (\mathbf{x}_n, y_n)</annotation></semantics></math></span><span class="katex-html" aria-hidden="true"><span class="strut" style="height:0.75em;"></span><span class="strut bottom" style="height:1em;vertical-align:-0.25em;"></span><span class="base textstyle uncramped"><spa
n class="mopen">(</span><span class=""><span class="mord textstyle uncramped"><span class="mord mathbf">x</span></span><span class="vlist"><span style="top:0.15em;margin-right:0.05em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="reset-textstyle scriptstyle cramped"><span class="mord mathrm">1</span></span></span><span class="baseline-fix"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span>​</span></span></span><span class="mpunct">,</span><span class="mord"><span class="mord mathit" style="margin-right:0.03588em;">y</span><span class="vlist"><span style="top:0.15em;margin-right:0.05em;margin-left:-0.03588em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="reset-textstyle scriptstyle cramped"><span class="mord mathrm">1</span></span></span><span class="baseline-fix"><span class="fontsize-ensurer
reset-size5 size5"><span style="font-size:0em;">​</span></span>​</span></span></span><span class="mclose">)</span><span class="mpunct">,</span><span class="mopen">(</span><span class=""><span class="mord textstyle uncramped"><span class="mord mathbf">x</span></span><span class="vlist"><span style="top:0.15em;margin-right:0.05em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="reset-textstyle scriptstyle cramped"><span class="mord mathrm">2</span></span></span><span class="baseline-fix"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span>​</span></span></span><span class="mpunct">,</span><span class="mord"><span class="mord mathit" style="margin-right:0.03588em;">y</span><span class="vlist"><span style="top:0.15em;margin-right:0.05em;margin-left:-0.03588em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span><
/span><span class="reset-textstyle scriptstyle cramped"><span class="mord mathrm">2</span></span></span><span class="baseline-fix"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span>​</span></span></span><span class="mclose">)</span><span class="mpunct">,</span><span class="minner">⋯</span><span class="mpunct">,</span><span class="mopen">(</span><span class=""><span class="mord textstyle uncramped"><span class="mord mathbf">x</span></span><span class="vlist"><span style="top:0.15em;margin-right:0.05em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="reset-textstyle scriptstyle cramped"><span class="mord mathit">n</span></span></span><span class="baseline-fix"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span>​</span></span></span><span class="mpunct">,</span><span class="mord"><span class="mord mathi
t" style="margin-right:0.03588em;">y</span><span class="vlist"><span style="top:0.15em;margin-right:0.05em;margin-left:-0.03588em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="reset-textstyle scriptstyle cramped"><span class="mord mathit">n</span></span></span><span class="baseline-fix"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span>​</span></span></span><span class="mclose">)</span></span></span></span>, the goal of prediction algorithms is to find a weight vector (i.e., parameters) <span class="katex"><span class="katex-mathml"><math><semantics><mrow><mrow><mi mathvariant="bold">w</mi></mrow></mrow><annotation encoding="application/x-tex">\mathbf{w}</annotation></semantics></math></span><span class="katex-html" aria-hidden="true"><span class="strut" style="height:0.44444em;"></span><span class="strut bottom" style="height:0.44444em;vertical-align:0em;"><
/span><span class="base textstyle uncramped"><span class="mord textstyle uncramped"><span class="mord mathbf" style="margin-right:0.01597em;">w</span></span></span></span></span> by minimizing the following error:</p>
<p><span class="katex-display"><span class="katex"><span class="katex-mathml"><math><semantics><mrow><mi>E</mi><mo>(</mo><mrow><mi mathvariant="bold">w</mi></mrow><mo>)</mo><mo>:</mo><mo>=</mo><mfrac><mrow><mn>1</mn></mrow><mrow><mi>n</mi></mrow></mfrac><msubsup><mo>∑</mo><mrow><mi>i</mi><mo>=</mo><mn>1</mn></mrow><mrow><mi>n</mi></mrow></msubsup><mi>L</mi><mo>(</mo><mrow><mi mathvariant="bold">w</mi></mrow><mo separator="true">;</mo><msub><mrow><mi mathvariant="bold">x</mi></mrow><mi>i</mi></msub><mo separator="true">,</mo><msub><mi>y</mi><mi>i</mi></msub><mo>)</mo><mo>+</mo><mi>λ</mi><mi>R</mi><mo>(</mo><mrow><mi mathvariant="bold">w</mi></mrow><mo>)</mo></mrow><annotation encoding="application/x-tex">
E(\mathbf{w}) := \frac{1}{n} \sum_{i=1}^{n} L(\mathbf{w}; \mathbf{x}_i, y_i) + \lambda R(\mathbf{w})
-</annotation></semantics></math></span><span class="katex-html" aria-hidden="true"><span class="strut" style="height:1.6513970000000002em;"></span><span class="strut bottom" style="height:2.929066em;vertical-align:-1.277669em;"></span><span class="base displaystyle textstyle uncramped"><span class="mord mathit" style="margin-right:0.05764em;">E</span><span class="mopen">(</span><span class="mord displaystyle textstyle uncramped"><span class="mord mathbf" style="margin-right:0.01597em;">w</span></span><span class="mclose">)</span><span class="mrel">:</span><span class="mrel">=</span><span class="mord reset-textstyle displaystyle textstyle uncramped"><span class="mopen sizing reset-size5 size5 reset-textstyle textstyle uncramped nulldelimiter"></span><span class="mfrac"><span class="vlist"><span style="top:0.686em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="reset-textstyle textstyle cramped"><span class="mord texts
tyle cramped"><span class="mord mathit">n</span></span></span></span><span style="top:-0.22999999999999998em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="reset-textstyle textstyle uncramped frac-line"></span></span><span style="top:-0.677em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="reset-textstyle textstyle uncramped"><span class="mord textstyle uncramped"><span class="mord mathrm">1</span></span></span></span><span class="baseline-fix"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span>​</span></span></span><span class="mclose sizing reset-size5 size5 reset-textstyle textstyle uncramped nulldelimiter"></span></span><span class="mop op-limits"><span class="vlist"><span style="top:1.1776689999999999em;margin-left:0em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-siz
e:0em;">​</span></span><span class="reset-textstyle scriptstyle cramped mtight"><span class="mord scriptstyle cramped mtight"><span class="mord mathit mtight">i</span><span class="mrel mtight">=</span><span class="mord mathrm mtight">1</span></span></span></span><span style="top:-0.000005000000000143778em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span><span class="mop op-symbol large-op">∑</span></span></span><span style="top:-1.2500050000000003em;margin-left:0em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="reset-textstyle scriptstyle uncramped mtight"><span class="mord scriptstyle uncramped mtight"><span class="mord mathit mtight">n</span></span></span></span><span class="baseline-fix"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span>​</span></span></span><span class="mord mathit">L
</span><span class="mopen">(</span><span class="mord displaystyle textstyle uncramped"><span class="mord mathbf" style="margin-right:0.01597em;">w</span></span><span class="mpunct">;</span><span class="mord"><span class="mord displaystyle textstyle uncramped"><span class="mord mathbf">x</span></span><span class="msupsub"><span class="vlist"><span style="top:0.15em;margin-right:0.05em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="reset-textstyle scriptstyle cramped mtight"><span class="mord mathit mtight">i</span></span></span><span class="baseline-fix"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span>​</span></span></span></span><span class="mpunct">,</span><span class="mord"><span class="mord mathit" style="margin-right:0.03588em;">y</span><span class="msupsub"><span class="vlist"><span style="top:0.15em;margin-right:0.05em;margin-left:-0.03588em;"><span cl
ass="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="reset-textstyle scriptstyle cramped mtight"><span class="mord mathit mtight">i</span></span></span><span class="baseline-fix"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span>​</span></span></span></span><span class="mclose">)</span><span class="mbin">+</span><span class="mord mathit">λ</span><span class="mord mathit" style="margin-right:0.00773em;">R</span><span class="mopen">(</span><span class="mord displaystyle textstyle uncramped"><span class="mord mathbf" style="margin-right:0.01597em;">w</span></span><span class="mclose">)</span></span></span></span></span></p>
+</annotation></semantics></math></span><span class="katex-html" aria-hidden="true"><span class="strut" style="height:1.6513970000000002em;"></span><span class="strut bottom" style="height:2.929066em;vertical-align:-1.277669em;"></span><span class="base displaystyle textstyle uncramped"><span class="mord mathit" style="margin-right:0.05764em;">E</span><span class="mopen">(</span><span class="mord displaystyle textstyle uncramped"><span class="mord mathbf" style="margin-right:0.01597em;">w</span></span><span class="mclose">)</span><span class="mrel">:</span><span class="mrel">=</span><span class="mord reset-textstyle displaystyle textstyle uncramped"><span class="sizing reset-size5 size5 reset-textstyle textstyle uncramped nulldelimiter"></span><span class="mfrac"><span class="vlist"><span style="top:0.686em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="reset-textstyle textstyle cramped"><span class="mord textstyle c
ramped"><span class="mord mathit">n</span></span></span></span><span style="top:-0.22999999999999998em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="reset-textstyle textstyle uncramped frac-line"></span></span><span style="top:-0.677em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="reset-textstyle textstyle uncramped"><span class="mord textstyle uncramped"><span class="mord mathrm">1</span></span></span></span><span class="baseline-fix"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span>​</span></span></span><span class="sizing reset-size5 size5 reset-textstyle textstyle uncramped nulldelimiter"></span></span><span class="mop op-limits"><span class="vlist"><span style="top:1.1776689999999999em;margin-left:0em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;"> 
0B;</span></span><span class="reset-textstyle scriptstyle cramped"><span class="mord scriptstyle cramped"><span class="mord mathit">i</span><span class="mrel">=</span><span class="mord mathrm">1</span></span></span></span><span style="top:-0.000005000000000143778em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span><span class="op-symbol large-op mop">∑</span></span></span><span style="top:-1.2500050000000003em;margin-left:0em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="reset-textstyle scriptstyle uncramped"><span class="mord scriptstyle uncramped"><span class="mord mathit">n</span></span></span></span><span class="baseline-fix"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span>​</span></span></span><span class="mord mathit">L</span><span class="mopen">(</span><span class="mord displaystyle tex
tstyle uncramped"><span class="mord mathbf" style="margin-right:0.01597em;">w</span></span><span class="mpunct">;</span><span class=""><span class="mord displaystyle textstyle uncramped"><span class="mord mathbf">x</span></span><span class="vlist"><span style="top:0.15em;margin-right:0.05em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="reset-textstyle scriptstyle cramped"><span class="mord mathit">i</span></span></span><span class="baseline-fix"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span>​</span></span></span><span class="mpunct">,</span><span class="mord"><span class="mord mathit" style="margin-right:0.03588em;">y</span><span class="vlist"><span style="top:0.15em;margin-right:0.05em;margin-left:-0.03588em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="reset-textstyle scriptstyle cramp
ed"><span class="mord mathit">i</span></span></span><span class="baseline-fix"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span>​</span></span></span><span class="mclose">)</span><span class="mbin">+</span><span class="mord mathit">λ</span><span class="mord mathit" style="margin-right:0.00773em;">R</span><span class="mopen">(</span><span class="mord displaystyle textstyle uncramped"><span class="mord mathbf" style="margin-right:0.01597em;">w</span></span><span class="mclose">)</span></span></span></span></span></p>
<p>In the above formulation, there are two auxiliary functions we have to know: </p>
<ul>
-<li><span class="katex"><span class="katex-mathml"><math><semantics><mrow><mi>L</mi><mo>(</mo><mrow><mi mathvariant="bold">w</mi></mrow><mo separator="true">;</mo><msub><mrow><mi mathvariant="bold">x</mi></mrow><mi>i</mi></msub><mo separator="true">,</mo><msub><mi>y</mi><mi>i</mi></msub><mo>)</mo></mrow><annotation encoding="application/x-tex">L(\mathbf{w}; \mathbf{x}_i, y_i)</annotation></semantics></math></span><span class="katex-html" aria-hidden="true"><span class="strut" style="height:0.75em;"></span><span class="strut bottom" style="height:1em;vertical-align:-0.25em;"></span><span class="base textstyle uncramped"><span class="mord mathit">L</span><span class="mopen">(</span><span class="mord textstyle uncramped"><span class="mord mathbf" style="margin-right:0.01597em;">w</span></span><span class="mpunct">;</span><span class="mord"><span class="mord textstyle uncramped"><span class="mord mathbf">x</span></span><span class="msupsub"><span class="vlist"><span style="top:0.15em;ma
rgin-right:0.05em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="reset-textstyle scriptstyle cramped mtight"><span class="mord mathit mtight">i</span></span></span><span class="baseline-fix"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span>​</span></span></span></span><span class="mpunct">,</span><span class="mord"><span class="mord mathit" style="margin-right:0.03588em;">y</span><span class="msupsub"><span class="vlist"><span style="top:0.15em;margin-right:0.05em;margin-left:-0.03588em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="reset-textstyle scriptstyle cramped mtight"><span class="mord mathit mtight">i</span></span></span><span class="baseline-fix"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span>​</span></span></span></span><s
pan class="mclose">)</span></span></span></span><ul>
-<li><strong>Loss function</strong> for a single sample <span class="katex"><span class="katex-mathml"><math><semantics><mrow><mo>(</mo><msub><mrow><mi mathvariant="bold">x</mi></mrow><mi>i</mi></msub><mo separator="true">,</mo><msub><mi>y</mi><mi>i</mi></msub><mo>)</mo></mrow><annotation encoding="application/x-tex">(\mathbf{x}_i, y_i)</annotation></semantics></math></span><span class="katex-html" aria-hidden="true"><span class="strut" style="height:0.75em;"></span><span class="strut bottom" style="height:1em;vertical-align:-0.25em;"></span><span class="base textstyle uncramped"><span class="mopen">(</span><span class="mord"><span class="mord textstyle uncramped"><span class="mord mathbf">x</span></span><span class="msupsub"><span class="vlist"><span style="top:0.15em;margin-right:0.05em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="reset-textstyle scriptstyle cramped mtight"><span class="mord mathit mtight">i</spa
n></span></span><span class="baseline-fix"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span>​</span></span></span></span><span class="mpunct">,</span><span class="mord"><span class="mord mathit" style="margin-right:0.03588em;">y</span><span class="msupsub"><span class="vlist"><span style="top:0.15em;margin-right:0.05em;margin-left:-0.03588em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="reset-textstyle scriptstyle cramped mtight"><span class="mord mathit mtight">i</span></span></span><span class="baseline-fix"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span>​</span></span></span></span><span class="mclose">)</span></span></span></span> and given <span class="katex"><span class="katex-mathml"><math><semantics><mrow><mrow><mi mathvariant="bold">w</mi></mrow></mrow><annotation encoding="application/x-te
x">\mathbf{w}</annotation></semantics></math></span><span class="katex-html" aria-hidden="true"><span class="strut" style="height:0.44444em;"></span><span class="strut bottom" style="height:0.44444em;vertical-align:0em;"></span><span class="base textstyle uncramped"><span class="mord textstyle uncramped"><span class="mord mathbf" style="margin-right:0.01597em;">w</span></span></span></span></span>.</li>
+<li><span class="katex"><span class="katex-mathml"><math><semantics><mrow><mi>L</mi><mo>(</mo><mrow><mi mathvariant="bold">w</mi></mrow><mo separator="true">;</mo><msub><mrow><mi mathvariant="bold">x</mi></mrow><mi>i</mi></msub><mo separator="true">,</mo><msub><mi>y</mi><mi>i</mi></msub><mo>)</mo></mrow><annotation encoding="application/x-tex">L(\mathbf{w}; \mathbf{x}_i, y_i)</annotation></semantics></math></span><span class="katex-html" aria-hidden="true"><span class="strut" style="height:0.75em;"></span><span class="strut bottom" style="height:1em;vertical-align:-0.25em;"></span><span class="base textstyle uncramped"><span class="mord mathit">L</span><span class="mopen">(</span><span class="mord textstyle uncramped"><span class="mord mathbf" style="margin-right:0.01597em;">w</span></span><span class="mpunct">;</span><span class=""><span class="mord textstyle uncramped"><span class="mord mathbf">x</span></span><span class="vlist"><span style="top:0.15em;margin-right:0.05em;"><span
class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="reset-textstyle scriptstyle cramped"><span class="mord mathit">i</span></span></span><span class="baseline-fix"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span>​</span></span></span><span class="mpunct">,</span><span class="mord"><span class="mord mathit" style="margin-right:0.03588em;">y</span><span class="vlist"><span style="top:0.15em;margin-right:0.05em;margin-left:-0.03588em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="reset-textstyle scriptstyle cramped"><span class="mord mathit">i</span></span></span><span class="baseline-fix"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span>​</span></span></span><span class="mclose">)</span></span></span></span><ul>
+<li><strong>Loss function</strong> for a single sample <span class="katex"><span class="katex-mathml"><math><semantics><mrow><mo>(</mo><msub><mrow><mi mathvariant="bold">x</mi></mrow><mi>i</mi></msub><mo separator="true">,</mo><msub><mi>y</mi><mi>i</mi></msub><mo>)</mo></mrow><annotation encoding="application/x-tex">(\mathbf{x}_i, y_i)</annotation></semantics></math></span><span class="katex-html" aria-hidden="true"><span class="strut" style="height:0.75em;"></span><span class="strut bottom" style="height:1em;vertical-align:-0.25em;"></span><span class="base textstyle uncramped"><span class="mopen">(</span><span class=""><span class="mord textstyle uncramped"><span class="mord mathbf">x</span></span><span class="vlist"><span style="top:0.15em;margin-right:0.05em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="reset-textstyle scriptstyle cramped"><span class="mord mathit">i</span></span></span><span class="baseline-fi
x"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span>​</span></span></span><span class="mpunct">,</span><span class="mord"><span class="mord mathit" style="margin-right:0.03588em;">y</span><span class="vlist"><span style="top:0.15em;margin-right:0.05em;margin-left:-0.03588em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="reset-textstyle scriptstyle cramped"><span class="mord mathit">i</span></span></span><span class="baseline-fix"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span>​</span></span></span><span class="mclose">)</span></span></span></span> and given <span class="katex"><span class="katex-mathml"><math><semantics><mrow><mrow><mi mathvariant="bold">w</mi></mrow></mrow><annotation encoding="application/x-tex">\mathbf{w}</annotation></semantics></math></span><span class="katex-html" aria-hidden="
true"><span class="strut" style="height:0.44444em;"></span><span class="strut bottom" style="height:0.44444em;vertical-align:0em;"></span><span class="base textstyle uncramped"><span class="mord textstyle uncramped"><span class="mord mathbf" style="margin-right:0.01597em;">w</span></span></span></span></span>.</li>
<li>If this function produces small values, it means the parameter <span class="katex"><span class="katex-mathml"><math><semantics><mrow><mrow><mi mathvariant="bold">w</mi></mrow></mrow><annotation encoding="application/x-tex">\mathbf{w}</annotation></semantics></math></span><span class="katex-html" aria-hidden="true"><span class="strut" style="height:0.44444em;"></span><span class="strut bottom" style="height:0.44444em;vertical-align:0em;"></span><span class="base textstyle uncramped"><span class="mord textstyle uncramped"><span class="mord mathbf" style="margin-right:0.01597em;">w</span></span></span></span></span> is successfully learnt. </li>
</ul>
</li>
@@ -2198,30 +2234,35 @@ E(\mathbf{w}) := \frac{1}{n} \sum_{i=1}^{n} L(\mathbf{w}; \mathbf{x}_i, y_i) + \
<p>Interestingly, depending on a choice of loss and regularization function, prediction model you obtained will behave differently; even if one combination could work as a classifier, another choice might be appropriate for regression.</p>
<p>Below we list possible options for <code>train_regression</code> and <code>train_classifier</code>, and this is the reason why these two functions are the most flexible in Hivemall:</p>
<ul>
-<li>Loss function: <code>-loss</code>, <code>-loss_function</code><ul>
+<li><p>Loss function: <code>-loss</code>, <code>-loss_function</code></p>
+<ul>
<li>For <code>train_regression</code><ul>
-<li>SquaredLoss</li>
-<li>QuantileLoss</li>
-<li>EpsilonInsensitiveLoss</li>
-<li>SquaredEpsilonInsensitiveLoss</li>
-<li>HuberLoss</li>
+<li>SquaredLoss (synonym: squared)</li>
+<li>QuantileLoss (synonym: quantile)</li>
+<li>EpsilonInsensitiveLoss (synonym: epsilon_intensitive)</li>
+<li>SquaredEpsilonInsensitiveLoss (synonym: squared_epsilon_intensitive)</li>
+<li>HuberLoss (synonym: huber)</li>
</ul>
</li>
<li>For <code>train_classifier</code><ul>
-<li>HingeLoss</li>
-<li>LogLoss</li>
-<li>SquaredHingeLoss</li>
-<li>ModifiedHuberLoss</li>
-<li>SquaredLoss</li>
-<li>QuantileLoss</li>
-<li>EpsilonInsensitiveLoss</li>
-<li>SquaredEpsilonInsensitiveLoss</li>
-<li>HuberLoss</li>
+<li>HingeLoss (synonym: hinge)</li>
+<li>LogLoss (synonym: log, logistic)</li>
+<li>SquaredHingeLoss (synonym: squared_hinge)</li>
+<li>ModifiedHuberLoss (synonym: modified_huber)</li>
+<li>The following losses are mainly designed for regression but can sometimes be useful in classification as well:<ul>
+<li>SquaredLoss (synonym: squared)</li>
+<li>QuantileLoss (synonym: quantile)</li>
+<li>EpsilonInsensitiveLoss (synonym: epsilon_intensitive)</li>
+<li>SquaredEpsilonInsensitiveLoss (synonym: squared_epsilon_intensitive)</li>
+<li>HuberLoss (synonym: huber)</li>
</ul>
</li>
</ul>
</li>
-<li>Regularization function: <code>-reg</code>, <code>-regularization</code><ul>
+</ul>
+</li>
+<li><p>Regularization function: <code>-reg</code>, <code>-regularization</code></p>
+<ul>
<li>L1</li>
<li>L2</li>
<li>ElasticNet</li>
@@ -2239,6 +2280,7 @@ E(\mathbf{w}) := \frac{1}{n} \sum_{i=1}^{n} L(\mathbf{w}; \mathbf{x}_i, y_i) + \
</ul>
</li>
</ul>
+<div class="panel panel-primary"><div class="panel-heading"><h3 class="panel-title" id="note"><i class="fa fa-edit"></i> Note</h3></div><div class="panel-body"><p>Option values are case insensitive and you can use <code>sgd</code> or <code>rda</code>, or <code>huberloss</code>.</p></div></div>
<p>In practice, you can try different combinations of the options in order to achieve higher prediction accuracy.
<div id="page-footer" class="localized-footer"><hr><!--
Licensed to the Apache Software Foundation (ASF) under one
@@ -2295,7 +2337,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
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http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/ba518dab/userguide/misc/tokenizer.html
----------------------------------------------------------------------
diff --git a/userguide/misc/tokenizer.html b/userguide/misc/tokenizer.html
index 33bf07b..81bbefa 100644
--- a/userguide/misc/tokenizer.html
+++ b/userguide/misc/tokenizer.html
@@ -598,14 +598,30 @@
</li>
- <li class="chapter " data-level="3.5" data-path="../ft_engineering/tfidf.html">
+ <li class="chapter " data-level="3.5" data-path="../ft_engineering/pairing.html">
- <a href="../ft_engineering/tfidf.html">
+ <a href="../ft_engineering/pairing.html">
<b>3.5.</b>
- TF-IDF Calculation
+ FEATURE PAIRING
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="3.5.1" data-path="../ft_engineering/polynomial.html">
+
+ <a href="../ft_engineering/polynomial.html">
+
+
+ <b>3.5.1.</b>
+
+ Polynomial Features
</a>
@@ -613,6 +629,11 @@
</li>
+
+ </ul>
+
+ </li>
+
<li class="chapter " data-level="3.6" data-path="../ft_engineering/ft_trans.html">
<a href="../ft_engineering/ft_trans.html">
@@ -664,6 +685,21 @@
</li>
+ <li class="chapter " data-level="3.7" data-path="../ft_engineering/tfidf.html">
+
+ <a href="../ft_engineering/tfidf.html">
+
+
+ <b>3.7.</b>
+
+ TF-IDF Calculation
+
+ </a>
+
+
+
+ </li>
+
@@ -761,7 +797,7 @@
- <li class="header">Part V - Prediction</li>
+ <li class="header">Part V - Supervised Learning</li>
@@ -780,27 +816,19 @@
</li>
- <li class="chapter " data-level="5.2" data-path="../regression/general.html">
-
- <a href="../regression/general.html">
-
-
- <b>5.2.</b>
-
- Regression
-
- </a>
-
-
- </li>
- <li class="chapter " data-level="5.3" data-path="../binaryclass/general.html">
+
+ <li class="header">Part VI - Binary classification</li>
+
+
+
+ <li class="chapter " data-level="6.1" data-path="../binaryclass/general.html">
<a href="../binaryclass/general.html">
- <b>5.3.</b>
+ <b>6.1.</b>
Binary Classification
@@ -810,21 +838,14 @@
</li>
-
-
-
- <li class="header">Part VI - Binary classification tutorials</li>
-
-
-
- <li class="chapter " data-level="6.1" data-path="../binaryclass/a9a.html">
+ <li class="chapter " data-level="6.2" data-path="../binaryclass/a9a.html">
<a href="../binaryclass/a9a.html">
- <b>6.1.</b>
+ <b>6.2.</b>
- a9a
+ a9a tutorial
</a>
@@ -833,12 +854,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.1.1" data-path="../binaryclass/a9a_dataset.html">
+ <li class="chapter " data-level="6.2.1" data-path="../binaryclass/a9a_dataset.html">
<a href="../binaryclass/a9a_dataset.html">
- <b>6.1.1.</b>
+ <b>6.2.1.</b>
Data preparation
@@ -848,12 +869,12 @@
</li>
- <li class="chapter " data-level="6.1.2" data-path="../binaryclass/a9a_lr.html">
+ <li class="chapter " data-level="6.2.2" data-path="../binaryclass/a9a_lr.html">
<a href="../binaryclass/a9a_lr.html">
- <b>6.1.2.</b>
+ <b>6.2.2.</b>
Logistic Regression
@@ -863,12 +884,12 @@
</li>
- <li class="chapter " data-level="6.1.3" data-path="../binaryclass/a9a_minibatch.html">
+ <li class="chapter " data-level="6.2.3" data-path="../binaryclass/a9a_minibatch.html">
<a href="../binaryclass/a9a_minibatch.html">
- <b>6.1.3.</b>
+ <b>6.2.3.</b>
Mini-batch Gradient Descent
@@ -883,14 +904,14 @@
</li>
- <li class="chapter " data-level="6.2" data-path="../binaryclass/news20.html">
+ <li class="chapter " data-level="6.3" data-path="../binaryclass/news20.html">
<a href="../binaryclass/news20.html">
- <b>6.2.</b>
+ <b>6.3.</b>
- News20
+ News20 tutorial
</a>
@@ -899,12 +920,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.2.1" data-path="../binaryclass/news20_dataset.html">
+ <li class="chapter " data-level="6.3.1" data-path="../binaryclass/news20_dataset.html">
<a href="../binaryclass/news20_dataset.html">
- <b>6.2.1.</b>
+ <b>6.3.1.</b>
Data preparation
@@ -914,12 +935,12 @@
</li>
- <li class="chapter " data-level="6.2.2" data-path="../binaryclass/news20_pa.html">
+ <li class="chapter " data-level="6.3.2" data-path="../binaryclass/news20_pa.html">
<a href="../binaryclass/news20_pa.html">
- <b>6.2.2.</b>
+ <b>6.3.2.</b>
Perceptron, Passive Aggressive
@@ -929,12 +950,12 @@
</li>
- <li class="chapter " data-level="6.2.3" data-path="../binaryclass/news20_scw.html">
+ <li class="chapter " data-level="6.3.3" data-path="../binaryclass/news20_scw.html">
<a href="../binaryclass/news20_scw.html">
- <b>6.2.3.</b>
+ <b>6.3.3.</b>
CW, AROW, SCW
@@ -944,12 +965,12 @@
</li>
- <li class="chapter " data-level="6.2.4" data-path="../binaryclass/news20_adagrad.html">
+ <li class="chapter " data-level="6.3.4" data-path="../binaryclass/news20_adagrad.html">
<a href="../binaryclass/news20_adagrad.html">
- <b>6.2.4.</b>
+ <b>6.3.4.</b>
AdaGradRDA, AdaGrad, AdaDelta
@@ -964,14 +985,14 @@
</li>
- <li class="chapter " data-level="6.3" data-path="../binaryclass/kdd2010a.html">
+ <li class="chapter " data-level="6.4" data-path="../binaryclass/kdd2010a.html">
<a href="../binaryclass/kdd2010a.html">
- <b>6.3.</b>
+ <b>6.4.</b>
- KDD2010a
+ KDD2010a tutorial
</a>
@@ -980,12 +1001,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.3.1" data-path="../binaryclass/kdd2010a_dataset.html">
+ <li class="chapter " data-level="6.4.1" data-path="../binaryclass/kdd2010a_dataset.html">
<a href="../binaryclass/kdd2010a_dataset.html">
- <b>6.3.1.</b>
+ <b>6.4.1.</b>
Data preparation
@@ -995,12 +1016,12 @@
</li>
- <li class="chapter " data-level="6.3.2" data-path="../binaryclass/kdd2010a_scw.html">
+ <li class="chapter " data-level="6.4.2" data-path="../binaryclass/kdd2010a_scw.html">
<a href="../binaryclass/kdd2010a_scw.html">
- <b>6.3.2.</b>
+ <b>6.4.2.</b>
PA, CW, AROW, SCW
@@ -1015,14 +1036,14 @@
</li>
- <li class="chapter " data-level="6.4" data-path="../binaryclass/kdd2010b.html">
+ <li class="chapter " data-level="6.5" data-path="../binaryclass/kdd2010b.html">
<a href="../binaryclass/kdd2010b.html">
- <b>6.4.</b>
+ <b>6.5.</b>
- KDD2010b
+ KDD2010b tutorial
</a>
@@ -1031,12 +1052,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.4.1" data-path="../binaryclass/kdd2010b_dataset.html">
+ <li class="chapter " data-level="6.5.1" data-path="../binaryclass/kdd2010b_dataset.html">
<a href="../binaryclass/kdd2010b_dataset.html">
- <b>6.4.1.</b>
+ <b>6.5.1.</b>
Data preparation
@@ -1046,12 +1067,12 @@
</li>
- <li class="chapter " data-level="6.4.2" data-path="../binaryclass/kdd2010b_arow.html">
+ <li class="chapter " data-level="6.5.2" data-path="../binaryclass/kdd2010b_arow.html">
<a href="../binaryclass/kdd2010b_arow.html">
- <b>6.4.2.</b>
+ <b>6.5.2.</b>
AROW
@@ -1066,14 +1087,14 @@
</li>
- <li class="chapter " data-level="6.5" data-path="../binaryclass/webspam.html">
+ <li class="chapter " data-level="6.6" data-path="../binaryclass/webspam.html">
<a href="../binaryclass/webspam.html">
- <b>6.5.</b>
+ <b>6.6.</b>
- Webspam
+ Webspam tutorial
</a>
@@ -1082,12 +1103,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.5.1" data-path="../binaryclass/webspam_dataset.html">
+ <li class="chapter " data-level="6.6.1" data-path="../binaryclass/webspam_dataset.html">
<a href="../binaryclass/webspam_dataset.html">
- <b>6.5.1.</b>
+ <b>6.6.1.</b>
Data pareparation
@@ -1097,12 +1118,12 @@
</li>
- <li class="chapter " data-level="6.5.2" data-path="../binaryclass/webspam_scw.html">
+ <li class="chapter " data-level="6.6.2" data-path="../binaryclass/webspam_scw.html">
<a href="../binaryclass/webspam_scw.html">
- <b>6.5.2.</b>
+ <b>6.6.2.</b>
PA1, AROW, SCW
@@ -1117,14 +1138,14 @@
</li>
- <li class="chapter " data-level="6.6" data-path="../binaryclass/titanic_rf.html">
+ <li class="chapter " data-level="6.7" data-path="../binaryclass/titanic_rf.html">
<a href="../binaryclass/titanic_rf.html">
- <b>6.6.</b>
+ <b>6.7.</b>
- Kaggle Titanic
+ Kaggle Titanic tutorial
</a>
@@ -1135,7 +1156,7 @@
- <li class="header">Part VII - Multiclass classification tutorials</li>
+ <li class="header">Part VII - Multiclass classification</li>
@@ -1146,7 +1167,7 @@
<b>7.1.</b>
- News20 Multiclass
+ News20 Multiclass tutorial
</a>
@@ -1257,7 +1278,7 @@
<b>7.2.</b>
- Iris
+ Iris tutorial
</a>
@@ -1319,18 +1340,33 @@
- <li class="header">Part VIII - Regression tutorials</li>
+ <li class="header">Part VIII - Regression</li>
- <li class="chapter " data-level="8.1" data-path="../regression/e2006.html">
+ <li class="chapter " data-level="8.1" data-path="../regression/general.html">
- <a href="../regression/e2006.html">
+ <a href="../regression/general.html">
<b>8.1.</b>
- E2006-tfidf regression
+ Regression
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="8.2" data-path="../regression/e2006.html">
+
+ <a href="../regression/e2006.html">
+
+
+ <b>8.2.</b>
+
+ E2006-tfidf regression tutorial
</a>
@@ -1339,12 +1375,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.1.1" data-path="../regression/e2006_dataset.html">
+ <li class="chapter " data-level="8.2.1" data-path="../regression/e2006_dataset.html">
<a href="../regression/e2006_dataset.html">
- <b>8.1.1.</b>
+ <b>8.2.1.</b>
Data preparation
@@ -1354,12 +1390,12 @@
</li>
- <li class="chapter " data-level="8.1.2" data-path="../regression/e2006_arow.html">
+ <li class="chapter " data-level="8.2.2" data-path="../regression/e2006_arow.html">
<a href="../regression/e2006_arow.html">
- <b>8.1.2.</b>
+ <b>8.2.2.</b>
Passive Aggressive, AROW
@@ -1374,14 +1410,14 @@
</li>
- <li class="chapter " data-level="8.2" data-path="../regression/kddcup12tr2.html">
+ <li class="chapter " data-level="8.3" data-path="../regression/kddcup12tr2.html">
<a href="../regression/kddcup12tr2.html">
- <b>8.2.</b>
+ <b>8.3.</b>
- KDDCup 2012 track 2 CTR prediction
+ KDDCup 2012 track 2 CTR prediction tutorial
</a>
@@ -1390,12 +1426,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.2.1" data-path="../regression/kddcup12tr2_dataset.html">
+ <li class="chapter " data-level="8.3.1" data-path="../regression/kddcup12tr2_dataset.html">
<a href="../regression/kddcup12tr2_dataset.html">
- <b>8.2.1.</b>
+ <b>8.3.1.</b>
Data preparation
@@ -1405,12 +1441,12 @@
</li>
- <li class="chapter " data-level="8.2.2" data-path="../regression/kddcup12tr2_lr.html">
+ <li class="chapter " data-level="8.3.2" data-path="../regression/kddcup12tr2_lr.html">
<a href="../regression/kddcup12tr2_lr.html">
- <b>8.2.2.</b>
+ <b>8.3.2.</b>
Logistic Regression, Passive Aggressive
@@ -1420,12 +1456,12 @@
</li>
- <li class="chapter " data-level="8.2.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
+ <li class="chapter " data-level="8.3.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
<a href="../regression/kddcup12tr2_lr_amplify.html">
- <b>8.2.3.</b>
+ <b>8.3.3.</b>
Logistic Regression with Amplifier
@@ -1435,12 +1471,12 @@
</li>
- <li class="chapter " data-level="8.2.4" data-path="../regression/kddcup12tr2_adagrad.html">
+ <li class="chapter " data-level="8.3.4" data-path="../regression/kddcup12tr2_adagrad.html">
<a href="../regression/kddcup12tr2_adagrad.html">
- <b>8.2.4.</b>
+ <b>8.3.4.</b>
AdaGrad, AdaDelta
@@ -2151,7 +2187,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
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[26/41] incubator-hivemall-site git commit: Added descriptions about
Feature Pairing in the user guide
Posted by my...@apache.org.
http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/ba518dab/userguide/ft_engineering/tfidf.html
----------------------------------------------------------------------
diff --git a/userguide/ft_engineering/tfidf.html b/userguide/ft_engineering/tfidf.html
index 6ae55c3..3dc8da1 100644
--- a/userguide/ft_engineering/tfidf.html
+++ b/userguide/ft_engineering/tfidf.html
@@ -97,10 +97,10 @@
<link rel="shortcut icon" href="../gitbook/images/favicon.ico" type="image/x-icon">
- <link rel="next" href="ft_trans.html" />
+ <link rel="next" href="../eval/stat_eval.html" />
- <link rel="prev" href="binning.html" />
+ <link rel="prev" href="quantify.html" />
</head>
@@ -598,14 +598,30 @@
</li>
- <li class="chapter active" data-level="3.5" data-path="tfidf.html">
+ <li class="chapter " data-level="3.5" data-path="pairing.html">
- <a href="tfidf.html">
+ <a href="pairing.html">
<b>3.5.</b>
- TF-IDF Calculation
+ FEATURE PAIRING
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="3.5.1" data-path="polynomial.html">
+
+ <a href="polynomial.html">
+
+
+ <b>3.5.1.</b>
+
+ Polynomial Features
</a>
@@ -613,6 +629,11 @@
</li>
+
+ </ul>
+
+ </li>
+
<li class="chapter " data-level="3.6" data-path="ft_trans.html">
<a href="ft_trans.html">
@@ -664,6 +685,21 @@
</li>
+ <li class="chapter active" data-level="3.7" data-path="tfidf.html">
+
+ <a href="tfidf.html">
+
+
+ <b>3.7.</b>
+
+ TF-IDF Calculation
+
+ </a>
+
+
+
+ </li>
+
@@ -761,7 +797,7 @@
- <li class="header">Part V - Prediction</li>
+ <li class="header">Part V - Supervised Learning</li>
@@ -780,27 +816,19 @@
</li>
- <li class="chapter " data-level="5.2" data-path="../regression/general.html">
-
- <a href="../regression/general.html">
-
-
- <b>5.2.</b>
-
- Regression
-
- </a>
-
-
- </li>
- <li class="chapter " data-level="5.3" data-path="../binaryclass/general.html">
+
+ <li class="header">Part VI - Binary classification</li>
+
+
+
+ <li class="chapter " data-level="6.1" data-path="../binaryclass/general.html">
<a href="../binaryclass/general.html">
- <b>5.3.</b>
+ <b>6.1.</b>
Binary Classification
@@ -810,21 +838,14 @@
</li>
-
-
-
- <li class="header">Part VI - Binary classification tutorials</li>
-
-
-
- <li class="chapter " data-level="6.1" data-path="../binaryclass/a9a.html">
+ <li class="chapter " data-level="6.2" data-path="../binaryclass/a9a.html">
<a href="../binaryclass/a9a.html">
- <b>6.1.</b>
+ <b>6.2.</b>
- a9a
+ a9a tutorial
</a>
@@ -833,12 +854,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.1.1" data-path="../binaryclass/a9a_dataset.html">
+ <li class="chapter " data-level="6.2.1" data-path="../binaryclass/a9a_dataset.html">
<a href="../binaryclass/a9a_dataset.html">
- <b>6.1.1.</b>
+ <b>6.2.1.</b>
Data preparation
@@ -848,12 +869,12 @@
</li>
- <li class="chapter " data-level="6.1.2" data-path="../binaryclass/a9a_lr.html">
+ <li class="chapter " data-level="6.2.2" data-path="../binaryclass/a9a_lr.html">
<a href="../binaryclass/a9a_lr.html">
- <b>6.1.2.</b>
+ <b>6.2.2.</b>
Logistic Regression
@@ -863,12 +884,12 @@
</li>
- <li class="chapter " data-level="6.1.3" data-path="../binaryclass/a9a_minibatch.html">
+ <li class="chapter " data-level="6.2.3" data-path="../binaryclass/a9a_minibatch.html">
<a href="../binaryclass/a9a_minibatch.html">
- <b>6.1.3.</b>
+ <b>6.2.3.</b>
Mini-batch Gradient Descent
@@ -883,14 +904,14 @@
</li>
- <li class="chapter " data-level="6.2" data-path="../binaryclass/news20.html">
+ <li class="chapter " data-level="6.3" data-path="../binaryclass/news20.html">
<a href="../binaryclass/news20.html">
- <b>6.2.</b>
+ <b>6.3.</b>
- News20
+ News20 tutorial
</a>
@@ -899,12 +920,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.2.1" data-path="../binaryclass/news20_dataset.html">
+ <li class="chapter " data-level="6.3.1" data-path="../binaryclass/news20_dataset.html">
<a href="../binaryclass/news20_dataset.html">
- <b>6.2.1.</b>
+ <b>6.3.1.</b>
Data preparation
@@ -914,12 +935,12 @@
</li>
- <li class="chapter " data-level="6.2.2" data-path="../binaryclass/news20_pa.html">
+ <li class="chapter " data-level="6.3.2" data-path="../binaryclass/news20_pa.html">
<a href="../binaryclass/news20_pa.html">
- <b>6.2.2.</b>
+ <b>6.3.2.</b>
Perceptron, Passive Aggressive
@@ -929,12 +950,12 @@
</li>
- <li class="chapter " data-level="6.2.3" data-path="../binaryclass/news20_scw.html">
+ <li class="chapter " data-level="6.3.3" data-path="../binaryclass/news20_scw.html">
<a href="../binaryclass/news20_scw.html">
- <b>6.2.3.</b>
+ <b>6.3.3.</b>
CW, AROW, SCW
@@ -944,12 +965,12 @@
</li>
- <li class="chapter " data-level="6.2.4" data-path="../binaryclass/news20_adagrad.html">
+ <li class="chapter " data-level="6.3.4" data-path="../binaryclass/news20_adagrad.html">
<a href="../binaryclass/news20_adagrad.html">
- <b>6.2.4.</b>
+ <b>6.3.4.</b>
AdaGradRDA, AdaGrad, AdaDelta
@@ -964,14 +985,14 @@
</li>
- <li class="chapter " data-level="6.3" data-path="../binaryclass/kdd2010a.html">
+ <li class="chapter " data-level="6.4" data-path="../binaryclass/kdd2010a.html">
<a href="../binaryclass/kdd2010a.html">
- <b>6.3.</b>
+ <b>6.4.</b>
- KDD2010a
+ KDD2010a tutorial
</a>
@@ -980,12 +1001,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.3.1" data-path="../binaryclass/kdd2010a_dataset.html">
+ <li class="chapter " data-level="6.4.1" data-path="../binaryclass/kdd2010a_dataset.html">
<a href="../binaryclass/kdd2010a_dataset.html">
- <b>6.3.1.</b>
+ <b>6.4.1.</b>
Data preparation
@@ -995,12 +1016,12 @@
</li>
- <li class="chapter " data-level="6.3.2" data-path="../binaryclass/kdd2010a_scw.html">
+ <li class="chapter " data-level="6.4.2" data-path="../binaryclass/kdd2010a_scw.html">
<a href="../binaryclass/kdd2010a_scw.html">
- <b>6.3.2.</b>
+ <b>6.4.2.</b>
PA, CW, AROW, SCW
@@ -1015,14 +1036,14 @@
</li>
- <li class="chapter " data-level="6.4" data-path="../binaryclass/kdd2010b.html">
+ <li class="chapter " data-level="6.5" data-path="../binaryclass/kdd2010b.html">
<a href="../binaryclass/kdd2010b.html">
- <b>6.4.</b>
+ <b>6.5.</b>
- KDD2010b
+ KDD2010b tutorial
</a>
@@ -1031,12 +1052,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.4.1" data-path="../binaryclass/kdd2010b_dataset.html">
+ <li class="chapter " data-level="6.5.1" data-path="../binaryclass/kdd2010b_dataset.html">
<a href="../binaryclass/kdd2010b_dataset.html">
- <b>6.4.1.</b>
+ <b>6.5.1.</b>
Data preparation
@@ -1046,12 +1067,12 @@
</li>
- <li class="chapter " data-level="6.4.2" data-path="../binaryclass/kdd2010b_arow.html">
+ <li class="chapter " data-level="6.5.2" data-path="../binaryclass/kdd2010b_arow.html">
<a href="../binaryclass/kdd2010b_arow.html">
- <b>6.4.2.</b>
+ <b>6.5.2.</b>
AROW
@@ -1066,14 +1087,14 @@
</li>
- <li class="chapter " data-level="6.5" data-path="../binaryclass/webspam.html">
+ <li class="chapter " data-level="6.6" data-path="../binaryclass/webspam.html">
<a href="../binaryclass/webspam.html">
- <b>6.5.</b>
+ <b>6.6.</b>
- Webspam
+ Webspam tutorial
</a>
@@ -1082,12 +1103,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.5.1" data-path="../binaryclass/webspam_dataset.html">
+ <li class="chapter " data-level="6.6.1" data-path="../binaryclass/webspam_dataset.html">
<a href="../binaryclass/webspam_dataset.html">
- <b>6.5.1.</b>
+ <b>6.6.1.</b>
Data pareparation
@@ -1097,12 +1118,12 @@
</li>
- <li class="chapter " data-level="6.5.2" data-path="../binaryclass/webspam_scw.html">
+ <li class="chapter " data-level="6.6.2" data-path="../binaryclass/webspam_scw.html">
<a href="../binaryclass/webspam_scw.html">
- <b>6.5.2.</b>
+ <b>6.6.2.</b>
PA1, AROW, SCW
@@ -1117,14 +1138,14 @@
</li>
- <li class="chapter " data-level="6.6" data-path="../binaryclass/titanic_rf.html">
+ <li class="chapter " data-level="6.7" data-path="../binaryclass/titanic_rf.html">
<a href="../binaryclass/titanic_rf.html">
- <b>6.6.</b>
+ <b>6.7.</b>
- Kaggle Titanic
+ Kaggle Titanic tutorial
</a>
@@ -1135,7 +1156,7 @@
- <li class="header">Part VII - Multiclass classification tutorials</li>
+ <li class="header">Part VII - Multiclass classification</li>
@@ -1146,7 +1167,7 @@
<b>7.1.</b>
- News20 Multiclass
+ News20 Multiclass tutorial
</a>
@@ -1257,7 +1278,7 @@
<b>7.2.</b>
- Iris
+ Iris tutorial
</a>
@@ -1319,18 +1340,33 @@
- <li class="header">Part VIII - Regression tutorials</li>
+ <li class="header">Part VIII - Regression</li>
- <li class="chapter " data-level="8.1" data-path="../regression/e2006.html">
+ <li class="chapter " data-level="8.1" data-path="../regression/general.html">
- <a href="../regression/e2006.html">
+ <a href="../regression/general.html">
<b>8.1.</b>
- E2006-tfidf regression
+ Regression
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="8.2" data-path="../regression/e2006.html">
+
+ <a href="../regression/e2006.html">
+
+
+ <b>8.2.</b>
+
+ E2006-tfidf regression tutorial
</a>
@@ -1339,12 +1375,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.1.1" data-path="../regression/e2006_dataset.html">
+ <li class="chapter " data-level="8.2.1" data-path="../regression/e2006_dataset.html">
<a href="../regression/e2006_dataset.html">
- <b>8.1.1.</b>
+ <b>8.2.1.</b>
Data preparation
@@ -1354,12 +1390,12 @@
</li>
- <li class="chapter " data-level="8.1.2" data-path="../regression/e2006_arow.html">
+ <li class="chapter " data-level="8.2.2" data-path="../regression/e2006_arow.html">
<a href="../regression/e2006_arow.html">
- <b>8.1.2.</b>
+ <b>8.2.2.</b>
Passive Aggressive, AROW
@@ -1374,14 +1410,14 @@
</li>
- <li class="chapter " data-level="8.2" data-path="../regression/kddcup12tr2.html">
+ <li class="chapter " data-level="8.3" data-path="../regression/kddcup12tr2.html">
<a href="../regression/kddcup12tr2.html">
- <b>8.2.</b>
+ <b>8.3.</b>
- KDDCup 2012 track 2 CTR prediction
+ KDDCup 2012 track 2 CTR prediction tutorial
</a>
@@ -1390,12 +1426,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.2.1" data-path="../regression/kddcup12tr2_dataset.html">
+ <li class="chapter " data-level="8.3.1" data-path="../regression/kddcup12tr2_dataset.html">
<a href="../regression/kddcup12tr2_dataset.html">
- <b>8.2.1.</b>
+ <b>8.3.1.</b>
Data preparation
@@ -1405,12 +1441,12 @@
</li>
- <li class="chapter " data-level="8.2.2" data-path="../regression/kddcup12tr2_lr.html">
+ <li class="chapter " data-level="8.3.2" data-path="../regression/kddcup12tr2_lr.html">
<a href="../regression/kddcup12tr2_lr.html">
- <b>8.2.2.</b>
+ <b>8.3.2.</b>
Logistic Regression, Passive Aggressive
@@ -1420,12 +1456,12 @@
</li>
- <li class="chapter " data-level="8.2.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
+ <li class="chapter " data-level="8.3.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
<a href="../regression/kddcup12tr2_lr_amplify.html">
- <b>8.2.3.</b>
+ <b>8.3.3.</b>
Logistic Regression with Amplifier
@@ -1435,12 +1471,12 @@
</li>
- <li class="chapter " data-level="8.2.4" data-path="../regression/kddcup12tr2_adagrad.html">
+ <li class="chapter " data-level="8.3.4" data-path="../regression/kddcup12tr2_adagrad.html">
<a href="../regression/kddcup12tr2_adagrad.html">
- <b>8.2.4.</b>
+ <b>8.3.4.</b>
AdaGrad, AdaDelta
@@ -2259,7 +2295,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
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http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/ba518dab/userguide/ft_engineering/vectorization.html
----------------------------------------------------------------------
diff --git a/userguide/ft_engineering/vectorization.html b/userguide/ft_engineering/vectorization.html
index b15b152..82ec714 100644
--- a/userguide/ft_engineering/vectorization.html
+++ b/userguide/ft_engineering/vectorization.html
@@ -598,14 +598,30 @@
</li>
- <li class="chapter " data-level="3.5" data-path="tfidf.html">
+ <li class="chapter " data-level="3.5" data-path="pairing.html">
- <a href="tfidf.html">
+ <a href="pairing.html">
<b>3.5.</b>
- TF-IDF Calculation
+ FEATURE PAIRING
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="3.5.1" data-path="polynomial.html">
+
+ <a href="polynomial.html">
+
+
+ <b>3.5.1.</b>
+
+ Polynomial Features
</a>
@@ -613,6 +629,11 @@
</li>
+
+ </ul>
+
+ </li>
+
<li class="chapter " data-level="3.6" data-path="ft_trans.html">
<a href="ft_trans.html">
@@ -664,6 +685,21 @@
</li>
+ <li class="chapter " data-level="3.7" data-path="tfidf.html">
+
+ <a href="tfidf.html">
+
+
+ <b>3.7.</b>
+
+ TF-IDF Calculation
+
+ </a>
+
+
+
+ </li>
+
@@ -761,7 +797,7 @@
- <li class="header">Part V - Prediction</li>
+ <li class="header">Part V - Supervised Learning</li>
@@ -780,27 +816,19 @@
</li>
- <li class="chapter " data-level="5.2" data-path="../regression/general.html">
-
- <a href="../regression/general.html">
-
-
- <b>5.2.</b>
-
- Regression
-
- </a>
-
-
- </li>
- <li class="chapter " data-level="5.3" data-path="../binaryclass/general.html">
+
+ <li class="header">Part VI - Binary classification</li>
+
+
+
+ <li class="chapter " data-level="6.1" data-path="../binaryclass/general.html">
<a href="../binaryclass/general.html">
- <b>5.3.</b>
+ <b>6.1.</b>
Binary Classification
@@ -810,21 +838,14 @@
</li>
-
-
-
- <li class="header">Part VI - Binary classification tutorials</li>
-
-
-
- <li class="chapter " data-level="6.1" data-path="../binaryclass/a9a.html">
+ <li class="chapter " data-level="6.2" data-path="../binaryclass/a9a.html">
<a href="../binaryclass/a9a.html">
- <b>6.1.</b>
+ <b>6.2.</b>
- a9a
+ a9a tutorial
</a>
@@ -833,12 +854,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.1.1" data-path="../binaryclass/a9a_dataset.html">
+ <li class="chapter " data-level="6.2.1" data-path="../binaryclass/a9a_dataset.html">
<a href="../binaryclass/a9a_dataset.html">
- <b>6.1.1.</b>
+ <b>6.2.1.</b>
Data preparation
@@ -848,12 +869,12 @@
</li>
- <li class="chapter " data-level="6.1.2" data-path="../binaryclass/a9a_lr.html">
+ <li class="chapter " data-level="6.2.2" data-path="../binaryclass/a9a_lr.html">
<a href="../binaryclass/a9a_lr.html">
- <b>6.1.2.</b>
+ <b>6.2.2.</b>
Logistic Regression
@@ -863,12 +884,12 @@
</li>
- <li class="chapter " data-level="6.1.3" data-path="../binaryclass/a9a_minibatch.html">
+ <li class="chapter " data-level="6.2.3" data-path="../binaryclass/a9a_minibatch.html">
<a href="../binaryclass/a9a_minibatch.html">
- <b>6.1.3.</b>
+ <b>6.2.3.</b>
Mini-batch Gradient Descent
@@ -883,14 +904,14 @@
</li>
- <li class="chapter " data-level="6.2" data-path="../binaryclass/news20.html">
+ <li class="chapter " data-level="6.3" data-path="../binaryclass/news20.html">
<a href="../binaryclass/news20.html">
- <b>6.2.</b>
+ <b>6.3.</b>
- News20
+ News20 tutorial
</a>
@@ -899,12 +920,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.2.1" data-path="../binaryclass/news20_dataset.html">
+ <li class="chapter " data-level="6.3.1" data-path="../binaryclass/news20_dataset.html">
<a href="../binaryclass/news20_dataset.html">
- <b>6.2.1.</b>
+ <b>6.3.1.</b>
Data preparation
@@ -914,12 +935,12 @@
</li>
- <li class="chapter " data-level="6.2.2" data-path="../binaryclass/news20_pa.html">
+ <li class="chapter " data-level="6.3.2" data-path="../binaryclass/news20_pa.html">
<a href="../binaryclass/news20_pa.html">
- <b>6.2.2.</b>
+ <b>6.3.2.</b>
Perceptron, Passive Aggressive
@@ -929,12 +950,12 @@
</li>
- <li class="chapter " data-level="6.2.3" data-path="../binaryclass/news20_scw.html">
+ <li class="chapter " data-level="6.3.3" data-path="../binaryclass/news20_scw.html">
<a href="../binaryclass/news20_scw.html">
- <b>6.2.3.</b>
+ <b>6.3.3.</b>
CW, AROW, SCW
@@ -944,12 +965,12 @@
</li>
- <li class="chapter " data-level="6.2.4" data-path="../binaryclass/news20_adagrad.html">
+ <li class="chapter " data-level="6.3.4" data-path="../binaryclass/news20_adagrad.html">
<a href="../binaryclass/news20_adagrad.html">
- <b>6.2.4.</b>
+ <b>6.3.4.</b>
AdaGradRDA, AdaGrad, AdaDelta
@@ -964,14 +985,14 @@
</li>
- <li class="chapter " data-level="6.3" data-path="../binaryclass/kdd2010a.html">
+ <li class="chapter " data-level="6.4" data-path="../binaryclass/kdd2010a.html">
<a href="../binaryclass/kdd2010a.html">
- <b>6.3.</b>
+ <b>6.4.</b>
- KDD2010a
+ KDD2010a tutorial
</a>
@@ -980,12 +1001,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.3.1" data-path="../binaryclass/kdd2010a_dataset.html">
+ <li class="chapter " data-level="6.4.1" data-path="../binaryclass/kdd2010a_dataset.html">
<a href="../binaryclass/kdd2010a_dataset.html">
- <b>6.3.1.</b>
+ <b>6.4.1.</b>
Data preparation
@@ -995,12 +1016,12 @@
</li>
- <li class="chapter " data-level="6.3.2" data-path="../binaryclass/kdd2010a_scw.html">
+ <li class="chapter " data-level="6.4.2" data-path="../binaryclass/kdd2010a_scw.html">
<a href="../binaryclass/kdd2010a_scw.html">
- <b>6.3.2.</b>
+ <b>6.4.2.</b>
PA, CW, AROW, SCW
@@ -1015,14 +1036,14 @@
</li>
- <li class="chapter " data-level="6.4" data-path="../binaryclass/kdd2010b.html">
+ <li class="chapter " data-level="6.5" data-path="../binaryclass/kdd2010b.html">
<a href="../binaryclass/kdd2010b.html">
- <b>6.4.</b>
+ <b>6.5.</b>
- KDD2010b
+ KDD2010b tutorial
</a>
@@ -1031,12 +1052,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.4.1" data-path="../binaryclass/kdd2010b_dataset.html">
+ <li class="chapter " data-level="6.5.1" data-path="../binaryclass/kdd2010b_dataset.html">
<a href="../binaryclass/kdd2010b_dataset.html">
- <b>6.4.1.</b>
+ <b>6.5.1.</b>
Data preparation
@@ -1046,12 +1067,12 @@
</li>
- <li class="chapter " data-level="6.4.2" data-path="../binaryclass/kdd2010b_arow.html">
+ <li class="chapter " data-level="6.5.2" data-path="../binaryclass/kdd2010b_arow.html">
<a href="../binaryclass/kdd2010b_arow.html">
- <b>6.4.2.</b>
+ <b>6.5.2.</b>
AROW
@@ -1066,14 +1087,14 @@
</li>
- <li class="chapter " data-level="6.5" data-path="../binaryclass/webspam.html">
+ <li class="chapter " data-level="6.6" data-path="../binaryclass/webspam.html">
<a href="../binaryclass/webspam.html">
- <b>6.5.</b>
+ <b>6.6.</b>
- Webspam
+ Webspam tutorial
</a>
@@ -1082,12 +1103,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.5.1" data-path="../binaryclass/webspam_dataset.html">
+ <li class="chapter " data-level="6.6.1" data-path="../binaryclass/webspam_dataset.html">
<a href="../binaryclass/webspam_dataset.html">
- <b>6.5.1.</b>
+ <b>6.6.1.</b>
Data pareparation
@@ -1097,12 +1118,12 @@
</li>
- <li class="chapter " data-level="6.5.2" data-path="../binaryclass/webspam_scw.html">
+ <li class="chapter " data-level="6.6.2" data-path="../binaryclass/webspam_scw.html">
<a href="../binaryclass/webspam_scw.html">
- <b>6.5.2.</b>
+ <b>6.6.2.</b>
PA1, AROW, SCW
@@ -1117,14 +1138,14 @@
</li>
- <li class="chapter " data-level="6.6" data-path="../binaryclass/titanic_rf.html">
+ <li class="chapter " data-level="6.7" data-path="../binaryclass/titanic_rf.html">
<a href="../binaryclass/titanic_rf.html">
- <b>6.6.</b>
+ <b>6.7.</b>
- Kaggle Titanic
+ Kaggle Titanic tutorial
</a>
@@ -1135,7 +1156,7 @@
- <li class="header">Part VII - Multiclass classification tutorials</li>
+ <li class="header">Part VII - Multiclass classification</li>
@@ -1146,7 +1167,7 @@
<b>7.1.</b>
- News20 Multiclass
+ News20 Multiclass tutorial
</a>
@@ -1257,7 +1278,7 @@
<b>7.2.</b>
- Iris
+ Iris tutorial
</a>
@@ -1319,18 +1340,33 @@
- <li class="header">Part VIII - Regression tutorials</li>
+ <li class="header">Part VIII - Regression</li>
- <li class="chapter " data-level="8.1" data-path="../regression/e2006.html">
+ <li class="chapter " data-level="8.1" data-path="../regression/general.html">
- <a href="../regression/e2006.html">
+ <a href="../regression/general.html">
<b>8.1.</b>
- E2006-tfidf regression
+ Regression
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="8.2" data-path="../regression/e2006.html">
+
+ <a href="../regression/e2006.html">
+
+
+ <b>8.2.</b>
+
+ E2006-tfidf regression tutorial
</a>
@@ -1339,12 +1375,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.1.1" data-path="../regression/e2006_dataset.html">
+ <li class="chapter " data-level="8.2.1" data-path="../regression/e2006_dataset.html">
<a href="../regression/e2006_dataset.html">
- <b>8.1.1.</b>
+ <b>8.2.1.</b>
Data preparation
@@ -1354,12 +1390,12 @@
</li>
- <li class="chapter " data-level="8.1.2" data-path="../regression/e2006_arow.html">
+ <li class="chapter " data-level="8.2.2" data-path="../regression/e2006_arow.html">
<a href="../regression/e2006_arow.html">
- <b>8.1.2.</b>
+ <b>8.2.2.</b>
Passive Aggressive, AROW
@@ -1374,14 +1410,14 @@
</li>
- <li class="chapter " data-level="8.2" data-path="../regression/kddcup12tr2.html">
+ <li class="chapter " data-level="8.3" data-path="../regression/kddcup12tr2.html">
<a href="../regression/kddcup12tr2.html">
- <b>8.2.</b>
+ <b>8.3.</b>
- KDDCup 2012 track 2 CTR prediction
+ KDDCup 2012 track 2 CTR prediction tutorial
</a>
@@ -1390,12 +1426,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.2.1" data-path="../regression/kddcup12tr2_dataset.html">
+ <li class="chapter " data-level="8.3.1" data-path="../regression/kddcup12tr2_dataset.html">
<a href="../regression/kddcup12tr2_dataset.html">
- <b>8.2.1.</b>
+ <b>8.3.1.</b>
Data preparation
@@ -1405,12 +1441,12 @@
</li>
- <li class="chapter " data-level="8.2.2" data-path="../regression/kddcup12tr2_lr.html">
+ <li class="chapter " data-level="8.3.2" data-path="../regression/kddcup12tr2_lr.html">
<a href="../regression/kddcup12tr2_lr.html">
- <b>8.2.2.</b>
+ <b>8.3.2.</b>
Logistic Regression, Passive Aggressive
@@ -1420,12 +1456,12 @@
</li>
- <li class="chapter " data-level="8.2.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
+ <li class="chapter " data-level="8.3.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
<a href="../regression/kddcup12tr2_lr_amplify.html">
- <b>8.2.3.</b>
+ <b>8.3.3.</b>
Logistic Regression with Amplifier
@@ -1435,12 +1471,12 @@
</li>
- <li class="chapter " data-level="8.2.4" data-path="../regression/kddcup12tr2_adagrad.html">
+ <li class="chapter " data-level="8.3.4" data-path="../regression/kddcup12tr2_adagrad.html">
<a href="../regression/kddcup12tr2_adagrad.html">
- <b>8.2.4.</b>
+ <b>8.3.4.</b>
AdaGrad, AdaDelta
@@ -2167,7 +2203,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
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[08/41] incubator-hivemall-site git commit: Added descriptions about
Feature Pairing in the user guide
Posted by my...@apache.org.
http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/ba518dab/userguide/sitemap.xml
----------------------------------------------------------------------
diff --git a/userguide/sitemap.xml b/userguide/sitemap.xml
index eec09ff..d2aa3d0 100644
--- a/userguide/sitemap.xml
+++ b/userguide/sitemap.xml
@@ -28,17 +28,18 @@
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<url> <loc>http://hivemall.incubator.apache.org/ft_engineering/quantify.html</loc> <changefreq>weekly</changefreq> <priority>0.5</priority> </url>
+<url> <loc>http://hivemall.incubator.apache.org/ft_engineering/tfidf.html</loc> <changefreq>weekly</changefreq> <priority>0.5</priority> </url>
<url> <loc>http://hivemall.incubator.apache.org/eval/stat_eval.html</loc> <changefreq>weekly</changefreq> <priority>0.5</priority> </url>
<url> <loc>http://hivemall.incubator.apache.org/eval/auc.html</loc> <changefreq>weekly</changefreq> <priority>0.5</priority> </url>
<url> <loc>http://hivemall.incubator.apache.org/eval/rank.html</loc> <changefreq>weekly</changefreq> <priority>0.5</priority> </url>
<url> <loc>http://hivemall.incubator.apache.org/eval/datagen.html</loc> <changefreq>weekly</changefreq> <priority>0.5</priority> </url>
<url> <loc>http://hivemall.incubator.apache.org/eval/lr_datagen.html</loc> <changefreq>weekly</changefreq> <priority>0.5</priority> </url>
<url> <loc>http://hivemall.incubator.apache.org/misc/prediction.html</loc> <changefreq>weekly</changefreq> <priority>0.5</priority> </url>
-<url> <loc>http://hivemall.incubator.apache.org/regression/general.html</loc> <changefreq>weekly</changefreq> <priority>0.5</priority> </url>
<url> <loc>http://hivemall.incubator.apache.org/binaryclass/general.html</loc> <changefreq>weekly</changefreq> <priority>0.5</priority> </url>
<url> <loc>http://hivemall.incubator.apache.org/binaryclass/a9a.html</loc> <changefreq>weekly</changefreq> <priority>0.5</priority> </url>
<url> <loc>http://hivemall.incubator.apache.org/binaryclass/a9a_dataset.html</loc> <changefreq>weekly</changefreq> <priority>0.5</priority> </url>
@@ -70,6 +71,7 @@
<url> <loc>http://hivemall.incubator.apache.org/multiclass/iris_dataset.html</loc> <changefreq>weekly</changefreq> <priority>0.5</priority> </url>
<url> <loc>http://hivemall.incubator.apache.org/multiclass/iris_scw.html</loc> <changefreq>weekly</changefreq> <priority>0.5</priority> </url>
<url> <loc>http://hivemall.incubator.apache.org/multiclass/iris_randomforest.html</loc> <changefreq>weekly</changefreq> <priority>0.5</priority> </url>
+<url> <loc>http://hivemall.incubator.apache.org/regression/general.html</loc> <changefreq>weekly</changefreq> <priority>0.5</priority> </url>
<url> <loc>http://hivemall.incubator.apache.org/regression/e2006.html</loc> <changefreq>weekly</changefreq> <priority>0.5</priority> </url>
<url> <loc>http://hivemall.incubator.apache.org/regression/e2006_dataset.html</loc> <changefreq>weekly</changefreq> <priority>0.5</priority> </url>
<url> <loc>http://hivemall.incubator.apache.org/regression/e2006_arow.html</loc> <changefreq>weekly</changefreq> <priority>0.5</priority> </url>
http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/ba518dab/userguide/spark/binaryclass/a9a_df.html
----------------------------------------------------------------------
diff --git a/userguide/spark/binaryclass/a9a_df.html b/userguide/spark/binaryclass/a9a_df.html
index fa8d0ff..5a58083 100644
--- a/userguide/spark/binaryclass/a9a_df.html
+++ b/userguide/spark/binaryclass/a9a_df.html
@@ -598,14 +598,30 @@
</li>
- <li class="chapter " data-level="3.5" data-path="../../ft_engineering/tfidf.html">
+ <li class="chapter " data-level="3.5" data-path="../../ft_engineering/pairing.html">
- <a href="../../ft_engineering/tfidf.html">
+ <a href="../../ft_engineering/pairing.html">
<b>3.5.</b>
- TF-IDF Calculation
+ FEATURE PAIRING
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="3.5.1" data-path="../../ft_engineering/polynomial.html">
+
+ <a href="../../ft_engineering/polynomial.html">
+
+
+ <b>3.5.1.</b>
+
+ Polynomial Features
</a>
@@ -613,6 +629,11 @@
</li>
+
+ </ul>
+
+ </li>
+
<li class="chapter " data-level="3.6" data-path="../../ft_engineering/ft_trans.html">
<a href="../../ft_engineering/ft_trans.html">
@@ -664,6 +685,21 @@
</li>
+ <li class="chapter " data-level="3.7" data-path="../../ft_engineering/tfidf.html">
+
+ <a href="../../ft_engineering/tfidf.html">
+
+
+ <b>3.7.</b>
+
+ TF-IDF Calculation
+
+ </a>
+
+
+
+ </li>
+
@@ -761,7 +797,7 @@
- <li class="header">Part V - Prediction</li>
+ <li class="header">Part V - Supervised Learning</li>
@@ -780,27 +816,19 @@
</li>
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-
- <a href="../../regression/general.html">
-
-
- <b>5.2.</b>
-
- Regression
-
- </a>
-
-
- </li>
- <li class="chapter " data-level="5.3" data-path="../../binaryclass/general.html">
+
+ <li class="header">Part VI - Binary classification</li>
+
+
+
+ <li class="chapter " data-level="6.1" data-path="../../binaryclass/general.html">
<a href="../../binaryclass/general.html">
- <b>5.3.</b>
+ <b>6.1.</b>
Binary Classification
@@ -810,21 +838,14 @@
</li>
-
-
-
- <li class="header">Part VI - Binary classification tutorials</li>
-
-
-
- <li class="chapter " data-level="6.1" data-path="../../binaryclass/a9a.html">
+ <li class="chapter " data-level="6.2" data-path="../../binaryclass/a9a.html">
<a href="../../binaryclass/a9a.html">
- <b>6.1.</b>
+ <b>6.2.</b>
- a9a
+ a9a tutorial
</a>
@@ -833,12 +854,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.1.1" data-path="../../binaryclass/a9a_dataset.html">
+ <li class="chapter " data-level="6.2.1" data-path="../../binaryclass/a9a_dataset.html">
<a href="../../binaryclass/a9a_dataset.html">
- <b>6.1.1.</b>
+ <b>6.2.1.</b>
Data preparation
@@ -848,12 +869,12 @@
</li>
- <li class="chapter " data-level="6.1.2" data-path="../../binaryclass/a9a_lr.html">
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<a href="../../binaryclass/a9a_lr.html">
- <b>6.1.2.</b>
+ <b>6.2.2.</b>
Logistic Regression
@@ -863,12 +884,12 @@
</li>
- <li class="chapter " data-level="6.1.3" data-path="../../binaryclass/a9a_minibatch.html">
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<a href="../../binaryclass/a9a_minibatch.html">
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+ <b>6.2.3.</b>
Mini-batch Gradient Descent
@@ -883,14 +904,14 @@
</li>
- <li class="chapter " data-level="6.2" data-path="../../binaryclass/news20.html">
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<a href="../../binaryclass/news20.html">
- <b>6.2.</b>
+ <b>6.3.</b>
- News20
+ News20 tutorial
</a>
@@ -899,12 +920,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.2.1" data-path="../../binaryclass/news20_dataset.html">
+ <li class="chapter " data-level="6.3.1" data-path="../../binaryclass/news20_dataset.html">
<a href="../../binaryclass/news20_dataset.html">
- <b>6.2.1.</b>
+ <b>6.3.1.</b>
Data preparation
@@ -914,12 +935,12 @@
</li>
- <li class="chapter " data-level="6.2.2" data-path="../../binaryclass/news20_pa.html">
+ <li class="chapter " data-level="6.3.2" data-path="../../binaryclass/news20_pa.html">
<a href="../../binaryclass/news20_pa.html">
- <b>6.2.2.</b>
+ <b>6.3.2.</b>
Perceptron, Passive Aggressive
@@ -929,12 +950,12 @@
</li>
- <li class="chapter " data-level="6.2.3" data-path="../../binaryclass/news20_scw.html">
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<a href="../../binaryclass/news20_scw.html">
- <b>6.2.3.</b>
+ <b>6.3.3.</b>
CW, AROW, SCW
@@ -944,12 +965,12 @@
</li>
- <li class="chapter " data-level="6.2.4" data-path="../../binaryclass/news20_adagrad.html">
+ <li class="chapter " data-level="6.3.4" data-path="../../binaryclass/news20_adagrad.html">
<a href="../../binaryclass/news20_adagrad.html">
- <b>6.2.4.</b>
+ <b>6.3.4.</b>
AdaGradRDA, AdaGrad, AdaDelta
@@ -964,14 +985,14 @@
</li>
- <li class="chapter " data-level="6.3" data-path="../../binaryclass/kdd2010a.html">
+ <li class="chapter " data-level="6.4" data-path="../../binaryclass/kdd2010a.html">
<a href="../../binaryclass/kdd2010a.html">
- <b>6.3.</b>
+ <b>6.4.</b>
- KDD2010a
+ KDD2010a tutorial
</a>
@@ -980,12 +1001,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.3.1" data-path="../../binaryclass/kdd2010a_dataset.html">
+ <li class="chapter " data-level="6.4.1" data-path="../../binaryclass/kdd2010a_dataset.html">
<a href="../../binaryclass/kdd2010a_dataset.html">
- <b>6.3.1.</b>
+ <b>6.4.1.</b>
Data preparation
@@ -995,12 +1016,12 @@
</li>
- <li class="chapter " data-level="6.3.2" data-path="../../binaryclass/kdd2010a_scw.html">
+ <li class="chapter " data-level="6.4.2" data-path="../../binaryclass/kdd2010a_scw.html">
<a href="../../binaryclass/kdd2010a_scw.html">
- <b>6.3.2.</b>
+ <b>6.4.2.</b>
PA, CW, AROW, SCW
@@ -1015,14 +1036,14 @@
</li>
- <li class="chapter " data-level="6.4" data-path="../../binaryclass/kdd2010b.html">
+ <li class="chapter " data-level="6.5" data-path="../../binaryclass/kdd2010b.html">
<a href="../../binaryclass/kdd2010b.html">
- <b>6.4.</b>
+ <b>6.5.</b>
- KDD2010b
+ KDD2010b tutorial
</a>
@@ -1031,12 +1052,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.4.1" data-path="../../binaryclass/kdd2010b_dataset.html">
+ <li class="chapter " data-level="6.5.1" data-path="../../binaryclass/kdd2010b_dataset.html">
<a href="../../binaryclass/kdd2010b_dataset.html">
- <b>6.4.1.</b>
+ <b>6.5.1.</b>
Data preparation
@@ -1046,12 +1067,12 @@
</li>
- <li class="chapter " data-level="6.4.2" data-path="../../binaryclass/kdd2010b_arow.html">
+ <li class="chapter " data-level="6.5.2" data-path="../../binaryclass/kdd2010b_arow.html">
<a href="../../binaryclass/kdd2010b_arow.html">
- <b>6.4.2.</b>
+ <b>6.5.2.</b>
AROW
@@ -1066,14 +1087,14 @@
</li>
- <li class="chapter " data-level="6.5" data-path="../../binaryclass/webspam.html">
+ <li class="chapter " data-level="6.6" data-path="../../binaryclass/webspam.html">
<a href="../../binaryclass/webspam.html">
- <b>6.5.</b>
+ <b>6.6.</b>
- Webspam
+ Webspam tutorial
</a>
@@ -1082,12 +1103,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.5.1" data-path="../../binaryclass/webspam_dataset.html">
+ <li class="chapter " data-level="6.6.1" data-path="../../binaryclass/webspam_dataset.html">
<a href="../../binaryclass/webspam_dataset.html">
- <b>6.5.1.</b>
+ <b>6.6.1.</b>
Data pareparation
@@ -1097,12 +1118,12 @@
</li>
- <li class="chapter " data-level="6.5.2" data-path="../../binaryclass/webspam_scw.html">
+ <li class="chapter " data-level="6.6.2" data-path="../../binaryclass/webspam_scw.html">
<a href="../../binaryclass/webspam_scw.html">
- <b>6.5.2.</b>
+ <b>6.6.2.</b>
PA1, AROW, SCW
@@ -1117,14 +1138,14 @@
</li>
- <li class="chapter " data-level="6.6" data-path="../../binaryclass/titanic_rf.html">
+ <li class="chapter " data-level="6.7" data-path="../../binaryclass/titanic_rf.html">
<a href="../../binaryclass/titanic_rf.html">
- <b>6.6.</b>
+ <b>6.7.</b>
- Kaggle Titanic
+ Kaggle Titanic tutorial
</a>
@@ -1135,7 +1156,7 @@
- <li class="header">Part VII - Multiclass classification tutorials</li>
+ <li class="header">Part VII - Multiclass classification</li>
@@ -1146,7 +1167,7 @@
<b>7.1.</b>
- News20 Multiclass
+ News20 Multiclass tutorial
</a>
@@ -1257,7 +1278,7 @@
<b>7.2.</b>
- Iris
+ Iris tutorial
</a>
@@ -1319,18 +1340,33 @@
- <li class="header">Part VIII - Regression tutorials</li>
+ <li class="header">Part VIII - Regression</li>
- <li class="chapter " data-level="8.1" data-path="../../regression/e2006.html">
+ <li class="chapter " data-level="8.1" data-path="../../regression/general.html">
- <a href="../../regression/e2006.html">
+ <a href="../../regression/general.html">
<b>8.1.</b>
- E2006-tfidf regression
+ Regression
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="8.2" data-path="../../regression/e2006.html">
+
+ <a href="../../regression/e2006.html">
+
+
+ <b>8.2.</b>
+
+ E2006-tfidf regression tutorial
</a>
@@ -1339,12 +1375,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.1.1" data-path="../../regression/e2006_dataset.html">
+ <li class="chapter " data-level="8.2.1" data-path="../../regression/e2006_dataset.html">
<a href="../../regression/e2006_dataset.html">
- <b>8.1.1.</b>
+ <b>8.2.1.</b>
Data preparation
@@ -1354,12 +1390,12 @@
</li>
- <li class="chapter " data-level="8.1.2" data-path="../../regression/e2006_arow.html">
+ <li class="chapter " data-level="8.2.2" data-path="../../regression/e2006_arow.html">
<a href="../../regression/e2006_arow.html">
- <b>8.1.2.</b>
+ <b>8.2.2.</b>
Passive Aggressive, AROW
@@ -1374,14 +1410,14 @@
</li>
- <li class="chapter " data-level="8.2" data-path="../../regression/kddcup12tr2.html">
+ <li class="chapter " data-level="8.3" data-path="../../regression/kddcup12tr2.html">
<a href="../../regression/kddcup12tr2.html">
- <b>8.2.</b>
+ <b>8.3.</b>
- KDDCup 2012 track 2 CTR prediction
+ KDDCup 2012 track 2 CTR prediction tutorial
</a>
@@ -1390,12 +1426,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.2.1" data-path="../../regression/kddcup12tr2_dataset.html">
+ <li class="chapter " data-level="8.3.1" data-path="../../regression/kddcup12tr2_dataset.html">
<a href="../../regression/kddcup12tr2_dataset.html">
- <b>8.2.1.</b>
+ <b>8.3.1.</b>
Data preparation
@@ -1405,12 +1441,12 @@
</li>
- <li class="chapter " data-level="8.2.2" data-path="../../regression/kddcup12tr2_lr.html">
+ <li class="chapter " data-level="8.3.2" data-path="../../regression/kddcup12tr2_lr.html">
<a href="../../regression/kddcup12tr2_lr.html">
- <b>8.2.2.</b>
+ <b>8.3.2.</b>
Logistic Regression, Passive Aggressive
@@ -1420,12 +1456,12 @@
</li>
- <li class="chapter " data-level="8.2.3" data-path="../../regression/kddcup12tr2_lr_amplify.html">
+ <li class="chapter " data-level="8.3.3" data-path="../../regression/kddcup12tr2_lr_amplify.html">
<a href="../../regression/kddcup12tr2_lr_amplify.html">
- <b>8.2.3.</b>
+ <b>8.3.3.</b>
Logistic Regression with Amplifier
@@ -1435,12 +1471,12 @@
</li>
- <li class="chapter " data-level="8.2.4" data-path="../../regression/kddcup12tr2_adagrad.html">
+ <li class="chapter " data-level="8.3.4" data-path="../../regression/kddcup12tr2_adagrad.html">
<a href="../../regression/kddcup12tr2_adagrad.html">
- <b>8.2.4.</b>
+ <b>8.3.4.</b>
AdaGrad, AdaDelta
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index 04549c8..1c98b2d 100644
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</li>
- <li class="chapter " data-level="3.5" data-path="../../ft_engineering/tfidf.html">
+ <li class="chapter " data-level="3.5" data-path="../../ft_engineering/pairing.html">
- <a href="../../ft_engineering/tfidf.html">
+ <a href="../../ft_engineering/pairing.html">
<b>3.5.</b>
- TF-IDF Calculation
+ FEATURE PAIRING
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="3.5.1" data-path="../../ft_engineering/polynomial.html">
+
+ <a href="../../ft_engineering/polynomial.html">
+
+
+ <b>3.5.1.</b>
+
+ Polynomial Features
</a>
@@ -613,6 +629,11 @@
</li>
+
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+
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+
<li class="chapter " data-level="3.6" data-path="../../ft_engineering/ft_trans.html">
<a href="../../ft_engineering/ft_trans.html">
@@ -664,6 +685,21 @@
</li>
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+
+ <a href="../../ft_engineering/tfidf.html">
+
+
+ <b>3.7.</b>
+
+ TF-IDF Calculation
+
+ </a>
+
+
+
+ </li>
+
@@ -761,7 +797,7 @@
- <li class="header">Part V - Prediction</li>
+ <li class="header">Part V - Supervised Learning</li>
@@ -780,27 +816,19 @@
</li>
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-
-
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-
- Regression
-
- </a>
-
-
- </li>
- <li class="chapter " data-level="5.3" data-path="../../binaryclass/general.html">
+
+ <li class="header">Part VI - Binary classification</li>
+
+
+
+ <li class="chapter " data-level="6.1" data-path="../../binaryclass/general.html">
<a href="../../binaryclass/general.html">
- <b>5.3.</b>
+ <b>6.1.</b>
Binary Classification
@@ -810,21 +838,14 @@
</li>
-
-
-
- <li class="header">Part VI - Binary classification tutorials</li>
-
-
-
- <li class="chapter " data-level="6.1" data-path="../../binaryclass/a9a.html">
+ <li class="chapter " data-level="6.2" data-path="../../binaryclass/a9a.html">
<a href="../../binaryclass/a9a.html">
- <b>6.1.</b>
+ <b>6.2.</b>
- a9a
+ a9a tutorial
</a>
@@ -833,12 +854,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.1.1" data-path="../../binaryclass/a9a_dataset.html">
+ <li class="chapter " data-level="6.2.1" data-path="../../binaryclass/a9a_dataset.html">
<a href="../../binaryclass/a9a_dataset.html">
- <b>6.1.1.</b>
+ <b>6.2.1.</b>
Data preparation
@@ -848,12 +869,12 @@
</li>
- <li class="chapter " data-level="6.1.2" data-path="../../binaryclass/a9a_lr.html">
+ <li class="chapter " data-level="6.2.2" data-path="../../binaryclass/a9a_lr.html">
<a href="../../binaryclass/a9a_lr.html">
- <b>6.1.2.</b>
+ <b>6.2.2.</b>
Logistic Regression
@@ -863,12 +884,12 @@
</li>
- <li class="chapter " data-level="6.1.3" data-path="../../binaryclass/a9a_minibatch.html">
+ <li class="chapter " data-level="6.2.3" data-path="../../binaryclass/a9a_minibatch.html">
<a href="../../binaryclass/a9a_minibatch.html">
- <b>6.1.3.</b>
+ <b>6.2.3.</b>
Mini-batch Gradient Descent
@@ -883,14 +904,14 @@
</li>
- <li class="chapter " data-level="6.2" data-path="../../binaryclass/news20.html">
+ <li class="chapter " data-level="6.3" data-path="../../binaryclass/news20.html">
<a href="../../binaryclass/news20.html">
- <b>6.2.</b>
+ <b>6.3.</b>
- News20
+ News20 tutorial
</a>
@@ -899,12 +920,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.2.1" data-path="../../binaryclass/news20_dataset.html">
+ <li class="chapter " data-level="6.3.1" data-path="../../binaryclass/news20_dataset.html">
<a href="../../binaryclass/news20_dataset.html">
- <b>6.2.1.</b>
+ <b>6.3.1.</b>
Data preparation
@@ -914,12 +935,12 @@
</li>
- <li class="chapter " data-level="6.2.2" data-path="../../binaryclass/news20_pa.html">
+ <li class="chapter " data-level="6.3.2" data-path="../../binaryclass/news20_pa.html">
<a href="../../binaryclass/news20_pa.html">
- <b>6.2.2.</b>
+ <b>6.3.2.</b>
Perceptron, Passive Aggressive
@@ -929,12 +950,12 @@
</li>
- <li class="chapter " data-level="6.2.3" data-path="../../binaryclass/news20_scw.html">
+ <li class="chapter " data-level="6.3.3" data-path="../../binaryclass/news20_scw.html">
<a href="../../binaryclass/news20_scw.html">
- <b>6.2.3.</b>
+ <b>6.3.3.</b>
CW, AROW, SCW
@@ -944,12 +965,12 @@
</li>
- <li class="chapter " data-level="6.2.4" data-path="../../binaryclass/news20_adagrad.html">
+ <li class="chapter " data-level="6.3.4" data-path="../../binaryclass/news20_adagrad.html">
<a href="../../binaryclass/news20_adagrad.html">
- <b>6.2.4.</b>
+ <b>6.3.4.</b>
AdaGradRDA, AdaGrad, AdaDelta
@@ -964,14 +985,14 @@
</li>
- <li class="chapter " data-level="6.3" data-path="../../binaryclass/kdd2010a.html">
+ <li class="chapter " data-level="6.4" data-path="../../binaryclass/kdd2010a.html">
<a href="../../binaryclass/kdd2010a.html">
- <b>6.3.</b>
+ <b>6.4.</b>
- KDD2010a
+ KDD2010a tutorial
</a>
@@ -980,12 +1001,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.3.1" data-path="../../binaryclass/kdd2010a_dataset.html">
+ <li class="chapter " data-level="6.4.1" data-path="../../binaryclass/kdd2010a_dataset.html">
<a href="../../binaryclass/kdd2010a_dataset.html">
- <b>6.3.1.</b>
+ <b>6.4.1.</b>
Data preparation
@@ -995,12 +1016,12 @@
</li>
- <li class="chapter " data-level="6.3.2" data-path="../../binaryclass/kdd2010a_scw.html">
+ <li class="chapter " data-level="6.4.2" data-path="../../binaryclass/kdd2010a_scw.html">
<a href="../../binaryclass/kdd2010a_scw.html">
- <b>6.3.2.</b>
+ <b>6.4.2.</b>
PA, CW, AROW, SCW
@@ -1015,14 +1036,14 @@
</li>
- <li class="chapter " data-level="6.4" data-path="../../binaryclass/kdd2010b.html">
+ <li class="chapter " data-level="6.5" data-path="../../binaryclass/kdd2010b.html">
<a href="../../binaryclass/kdd2010b.html">
- <b>6.4.</b>
+ <b>6.5.</b>
- KDD2010b
+ KDD2010b tutorial
</a>
@@ -1031,12 +1052,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.4.1" data-path="../../binaryclass/kdd2010b_dataset.html">
+ <li class="chapter " data-level="6.5.1" data-path="../../binaryclass/kdd2010b_dataset.html">
<a href="../../binaryclass/kdd2010b_dataset.html">
- <b>6.4.1.</b>
+ <b>6.5.1.</b>
Data preparation
@@ -1046,12 +1067,12 @@
</li>
- <li class="chapter " data-level="6.4.2" data-path="../../binaryclass/kdd2010b_arow.html">
+ <li class="chapter " data-level="6.5.2" data-path="../../binaryclass/kdd2010b_arow.html">
<a href="../../binaryclass/kdd2010b_arow.html">
- <b>6.4.2.</b>
+ <b>6.5.2.</b>
AROW
@@ -1066,14 +1087,14 @@
</li>
- <li class="chapter " data-level="6.5" data-path="../../binaryclass/webspam.html">
+ <li class="chapter " data-level="6.6" data-path="../../binaryclass/webspam.html">
<a href="../../binaryclass/webspam.html">
- <b>6.5.</b>
+ <b>6.6.</b>
- Webspam
+ Webspam tutorial
</a>
@@ -1082,12 +1103,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.5.1" data-path="../../binaryclass/webspam_dataset.html">
+ <li class="chapter " data-level="6.6.1" data-path="../../binaryclass/webspam_dataset.html">
<a href="../../binaryclass/webspam_dataset.html">
- <b>6.5.1.</b>
+ <b>6.6.1.</b>
Data pareparation
@@ -1097,12 +1118,12 @@
</li>
- <li class="chapter " data-level="6.5.2" data-path="../../binaryclass/webspam_scw.html">
+ <li class="chapter " data-level="6.6.2" data-path="../../binaryclass/webspam_scw.html">
<a href="../../binaryclass/webspam_scw.html">
- <b>6.5.2.</b>
+ <b>6.6.2.</b>
PA1, AROW, SCW
@@ -1117,14 +1138,14 @@
</li>
- <li class="chapter " data-level="6.6" data-path="../../binaryclass/titanic_rf.html">
+ <li class="chapter " data-level="6.7" data-path="../../binaryclass/titanic_rf.html">
<a href="../../binaryclass/titanic_rf.html">
- <b>6.6.</b>
+ <b>6.7.</b>
- Kaggle Titanic
+ Kaggle Titanic tutorial
</a>
@@ -1135,7 +1156,7 @@
- <li class="header">Part VII - Multiclass classification tutorials</li>
+ <li class="header">Part VII - Multiclass classification</li>
@@ -1146,7 +1167,7 @@
<b>7.1.</b>
- News20 Multiclass
+ News20 Multiclass tutorial
</a>
@@ -1257,7 +1278,7 @@
<b>7.2.</b>
- Iris
+ Iris tutorial
</a>
@@ -1319,18 +1340,33 @@
- <li class="header">Part VIII - Regression tutorials</li>
+ <li class="header">Part VIII - Regression</li>
- <li class="chapter " data-level="8.1" data-path="../../regression/e2006.html">
+ <li class="chapter " data-level="8.1" data-path="../../regression/general.html">
- <a href="../../regression/e2006.html">
+ <a href="../../regression/general.html">
<b>8.1.</b>
- E2006-tfidf regression
+ Regression
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="8.2" data-path="../../regression/e2006.html">
+
+ <a href="../../regression/e2006.html">
+
+
+ <b>8.2.</b>
+
+ E2006-tfidf regression tutorial
</a>
@@ -1339,12 +1375,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.1.1" data-path="../../regression/e2006_dataset.html">
+ <li class="chapter " data-level="8.2.1" data-path="../../regression/e2006_dataset.html">
<a href="../../regression/e2006_dataset.html">
- <b>8.1.1.</b>
+ <b>8.2.1.</b>
Data preparation
@@ -1354,12 +1390,12 @@
</li>
- <li class="chapter " data-level="8.1.2" data-path="../../regression/e2006_arow.html">
+ <li class="chapter " data-level="8.2.2" data-path="../../regression/e2006_arow.html">
<a href="../../regression/e2006_arow.html">
- <b>8.1.2.</b>
+ <b>8.2.2.</b>
Passive Aggressive, AROW
@@ -1374,14 +1410,14 @@
</li>
- <li class="chapter " data-level="8.2" data-path="../../regression/kddcup12tr2.html">
+ <li class="chapter " data-level="8.3" data-path="../../regression/kddcup12tr2.html">
<a href="../../regression/kddcup12tr2.html">
- <b>8.2.</b>
+ <b>8.3.</b>
- KDDCup 2012 track 2 CTR prediction
+ KDDCup 2012 track 2 CTR prediction tutorial
</a>
@@ -1390,12 +1426,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.2.1" data-path="../../regression/kddcup12tr2_dataset.html">
+ <li class="chapter " data-level="8.3.1" data-path="../../regression/kddcup12tr2_dataset.html">
<a href="../../regression/kddcup12tr2_dataset.html">
- <b>8.2.1.</b>
+ <b>8.3.1.</b>
Data preparation
@@ -1405,12 +1441,12 @@
</li>
- <li class="chapter " data-level="8.2.2" data-path="../../regression/kddcup12tr2_lr.html">
+ <li class="chapter " data-level="8.3.2" data-path="../../regression/kddcup12tr2_lr.html">
<a href="../../regression/kddcup12tr2_lr.html">
- <b>8.2.2.</b>
+ <b>8.3.2.</b>
Logistic Regression, Passive Aggressive
@@ -1420,12 +1456,12 @@
</li>
- <li class="chapter " data-level="8.2.3" data-path="../../regression/kddcup12tr2_lr_amplify.html">
+ <li class="chapter " data-level="8.3.3" data-path="../../regression/kddcup12tr2_lr_amplify.html">
<a href="../../regression/kddcup12tr2_lr_amplify.html">
- <b>8.2.3.</b>
+ <b>8.3.3.</b>
Logistic Regression with Amplifier
@@ -1435,12 +1471,12 @@
</li>
- <li class="chapter " data-level="8.2.4" data-path="../../regression/kddcup12tr2_adagrad.html">
+ <li class="chapter " data-level="8.3.4" data-path="../../regression/kddcup12tr2_adagrad.html">
<a href="../../regression/kddcup12tr2_adagrad.html">
- <b>8.2.4.</b>
+ <b>8.3.4.</b>
AdaGrad, AdaDelta
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diff --git a/userguide/spark/getting_started/index.html b/userguide/spark/getting_started/index.html
index abb9687..ee8016e 100644
--- a/userguide/spark/getting_started/index.html
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@@ -598,14 +598,30 @@
</li>
- <li class="chapter " data-level="3.5" data-path="../../ft_engineering/tfidf.html">
+ <li class="chapter " data-level="3.5" data-path="../../ft_engineering/pairing.html">
- <a href="../../ft_engineering/tfidf.html">
+ <a href="../../ft_engineering/pairing.html">
<b>3.5.</b>
- TF-IDF Calculation
+ FEATURE PAIRING
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="3.5.1" data-path="../../ft_engineering/polynomial.html">
+
+ <a href="../../ft_engineering/polynomial.html">
+
+
+ <b>3.5.1.</b>
+
+ Polynomial Features
</a>
@@ -613,6 +629,11 @@
</li>
+
+ </ul>
+
+ </li>
+
<li class="chapter " data-level="3.6" data-path="../../ft_engineering/ft_trans.html">
<a href="../../ft_engineering/ft_trans.html">
@@ -664,6 +685,21 @@
</li>
+ <li class="chapter " data-level="3.7" data-path="../../ft_engineering/tfidf.html">
+
+ <a href="../../ft_engineering/tfidf.html">
+
+
+ <b>3.7.</b>
+
+ TF-IDF Calculation
+
+ </a>
+
+
+
+ </li>
+
@@ -761,7 +797,7 @@
- <li class="header">Part V - Prediction</li>
+ <li class="header">Part V - Supervised Learning</li>
@@ -780,27 +816,19 @@
</li>
- <li class="chapter " data-level="5.2" data-path="../../regression/general.html">
-
- <a href="../../regression/general.html">
-
-
- <b>5.2.</b>
-
- Regression
-
- </a>
-
-
- </li>
- <li class="chapter " data-level="5.3" data-path="../../binaryclass/general.html">
+
+ <li class="header">Part VI - Binary classification</li>
+
+
+
+ <li class="chapter " data-level="6.1" data-path="../../binaryclass/general.html">
<a href="../../binaryclass/general.html">
- <b>5.3.</b>
+ <b>6.1.</b>
Binary Classification
@@ -810,21 +838,14 @@
</li>
-
-
-
- <li class="header">Part VI - Binary classification tutorials</li>
-
-
-
- <li class="chapter " data-level="6.1" data-path="../../binaryclass/a9a.html">
+ <li class="chapter " data-level="6.2" data-path="../../binaryclass/a9a.html">
<a href="../../binaryclass/a9a.html">
- <b>6.1.</b>
+ <b>6.2.</b>
- a9a
+ a9a tutorial
</a>
@@ -833,12 +854,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.1.1" data-path="../../binaryclass/a9a_dataset.html">
+ <li class="chapter " data-level="6.2.1" data-path="../../binaryclass/a9a_dataset.html">
<a href="../../binaryclass/a9a_dataset.html">
- <b>6.1.1.</b>
+ <b>6.2.1.</b>
Data preparation
@@ -848,12 +869,12 @@
</li>
- <li class="chapter " data-level="6.1.2" data-path="../../binaryclass/a9a_lr.html">
+ <li class="chapter " data-level="6.2.2" data-path="../../binaryclass/a9a_lr.html">
<a href="../../binaryclass/a9a_lr.html">
- <b>6.1.2.</b>
+ <b>6.2.2.</b>
Logistic Regression
@@ -863,12 +884,12 @@
</li>
- <li class="chapter " data-level="6.1.3" data-path="../../binaryclass/a9a_minibatch.html">
+ <li class="chapter " data-level="6.2.3" data-path="../../binaryclass/a9a_minibatch.html">
<a href="../../binaryclass/a9a_minibatch.html">
- <b>6.1.3.</b>
+ <b>6.2.3.</b>
Mini-batch Gradient Descent
@@ -883,14 +904,14 @@
</li>
- <li class="chapter " data-level="6.2" data-path="../../binaryclass/news20.html">
+ <li class="chapter " data-level="6.3" data-path="../../binaryclass/news20.html">
<a href="../../binaryclass/news20.html">
- <b>6.2.</b>
+ <b>6.3.</b>
- News20
+ News20 tutorial
</a>
@@ -899,12 +920,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.2.1" data-path="../../binaryclass/news20_dataset.html">
+ <li class="chapter " data-level="6.3.1" data-path="../../binaryclass/news20_dataset.html">
<a href="../../binaryclass/news20_dataset.html">
- <b>6.2.1.</b>
+ <b>6.3.1.</b>
Data preparation
@@ -914,12 +935,12 @@
</li>
- <li class="chapter " data-level="6.2.2" data-path="../../binaryclass/news20_pa.html">
+ <li class="chapter " data-level="6.3.2" data-path="../../binaryclass/news20_pa.html">
<a href="../../binaryclass/news20_pa.html">
- <b>6.2.2.</b>
+ <b>6.3.2.</b>
Perceptron, Passive Aggressive
@@ -929,12 +950,12 @@
</li>
- <li class="chapter " data-level="6.2.3" data-path="../../binaryclass/news20_scw.html">
+ <li class="chapter " data-level="6.3.3" data-path="../../binaryclass/news20_scw.html">
<a href="../../binaryclass/news20_scw.html">
- <b>6.2.3.</b>
+ <b>6.3.3.</b>
CW, AROW, SCW
@@ -944,12 +965,12 @@
</li>
- <li class="chapter " data-level="6.2.4" data-path="../../binaryclass/news20_adagrad.html">
+ <li class="chapter " data-level="6.3.4" data-path="../../binaryclass/news20_adagrad.html">
<a href="../../binaryclass/news20_adagrad.html">
- <b>6.2.4.</b>
+ <b>6.3.4.</b>
AdaGradRDA, AdaGrad, AdaDelta
@@ -964,14 +985,14 @@
</li>
- <li class="chapter " data-level="6.3" data-path="../../binaryclass/kdd2010a.html">
+ <li class="chapter " data-level="6.4" data-path="../../binaryclass/kdd2010a.html">
<a href="../../binaryclass/kdd2010a.html">
- <b>6.3.</b>
+ <b>6.4.</b>
- KDD2010a
+ KDD2010a tutorial
</a>
@@ -980,12 +1001,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.3.1" data-path="../../binaryclass/kdd2010a_dataset.html">
+ <li class="chapter " data-level="6.4.1" data-path="../../binaryclass/kdd2010a_dataset.html">
<a href="../../binaryclass/kdd2010a_dataset.html">
- <b>6.3.1.</b>
+ <b>6.4.1.</b>
Data preparation
@@ -995,12 +1016,12 @@
</li>
- <li class="chapter " data-level="6.3.2" data-path="../../binaryclass/kdd2010a_scw.html">
+ <li class="chapter " data-level="6.4.2" data-path="../../binaryclass/kdd2010a_scw.html">
<a href="../../binaryclass/kdd2010a_scw.html">
- <b>6.3.2.</b>
+ <b>6.4.2.</b>
PA, CW, AROW, SCW
@@ -1015,14 +1036,14 @@
</li>
- <li class="chapter " data-level="6.4" data-path="../../binaryclass/kdd2010b.html">
+ <li class="chapter " data-level="6.5" data-path="../../binaryclass/kdd2010b.html">
<a href="../../binaryclass/kdd2010b.html">
- <b>6.4.</b>
+ <b>6.5.</b>
- KDD2010b
+ KDD2010b tutorial
</a>
@@ -1031,12 +1052,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.4.1" data-path="../../binaryclass/kdd2010b_dataset.html">
+ <li class="chapter " data-level="6.5.1" data-path="../../binaryclass/kdd2010b_dataset.html">
<a href="../../binaryclass/kdd2010b_dataset.html">
- <b>6.4.1.</b>
+ <b>6.5.1.</b>
Data preparation
@@ -1046,12 +1067,12 @@
</li>
- <li class="chapter " data-level="6.4.2" data-path="../../binaryclass/kdd2010b_arow.html">
+ <li class="chapter " data-level="6.5.2" data-path="../../binaryclass/kdd2010b_arow.html">
<a href="../../binaryclass/kdd2010b_arow.html">
- <b>6.4.2.</b>
+ <b>6.5.2.</b>
AROW
@@ -1066,14 +1087,14 @@
</li>
- <li class="chapter " data-level="6.5" data-path="../../binaryclass/webspam.html">
+ <li class="chapter " data-level="6.6" data-path="../../binaryclass/webspam.html">
<a href="../../binaryclass/webspam.html">
- <b>6.5.</b>
+ <b>6.6.</b>
- Webspam
+ Webspam tutorial
</a>
@@ -1082,12 +1103,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.5.1" data-path="../../binaryclass/webspam_dataset.html">
+ <li class="chapter " data-level="6.6.1" data-path="../../binaryclass/webspam_dataset.html">
<a href="../../binaryclass/webspam_dataset.html">
- <b>6.5.1.</b>
+ <b>6.6.1.</b>
Data pareparation
@@ -1097,12 +1118,12 @@
</li>
- <li class="chapter " data-level="6.5.2" data-path="../../binaryclass/webspam_scw.html">
+ <li class="chapter " data-level="6.6.2" data-path="../../binaryclass/webspam_scw.html">
<a href="../../binaryclass/webspam_scw.html">
- <b>6.5.2.</b>
+ <b>6.6.2.</b>
PA1, AROW, SCW
@@ -1117,14 +1138,14 @@
</li>
- <li class="chapter " data-level="6.6" data-path="../../binaryclass/titanic_rf.html">
+ <li class="chapter " data-level="6.7" data-path="../../binaryclass/titanic_rf.html">
<a href="../../binaryclass/titanic_rf.html">
- <b>6.6.</b>
+ <b>6.7.</b>
- Kaggle Titanic
+ Kaggle Titanic tutorial
</a>
@@ -1135,7 +1156,7 @@
- <li class="header">Part VII - Multiclass classification tutorials</li>
+ <li class="header">Part VII - Multiclass classification</li>
@@ -1146,7 +1167,7 @@
<b>7.1.</b>
- News20 Multiclass
+ News20 Multiclass tutorial
</a>
@@ -1257,7 +1278,7 @@
<b>7.2.</b>
- Iris
+ Iris tutorial
</a>
@@ -1319,18 +1340,33 @@
- <li class="header">Part VIII - Regression tutorials</li>
+ <li class="header">Part VIII - Regression</li>
- <li class="chapter " data-level="8.1" data-path="../../regression/e2006.html">
+ <li class="chapter " data-level="8.1" data-path="../../regression/general.html">
- <a href="../../regression/e2006.html">
+ <a href="../../regression/general.html">
<b>8.1.</b>
- E2006-tfidf regression
+ Regression
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="8.2" data-path="../../regression/e2006.html">
+
+ <a href="../../regression/e2006.html">
+
+
+ <b>8.2.</b>
+
+ E2006-tfidf regression tutorial
</a>
@@ -1339,12 +1375,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.1.1" data-path="../../regression/e2006_dataset.html">
+ <li class="chapter " data-level="8.2.1" data-path="../../regression/e2006_dataset.html">
<a href="../../regression/e2006_dataset.html">
- <b>8.1.1.</b>
+ <b>8.2.1.</b>
Data preparation
@@ -1354,12 +1390,12 @@
</li>
- <li class="chapter " data-level="8.1.2" data-path="../../regression/e2006_arow.html">
+ <li class="chapter " data-level="8.2.2" data-path="../../regression/e2006_arow.html">
<a href="../../regression/e2006_arow.html">
- <b>8.1.2.</b>
+ <b>8.2.2.</b>
Passive Aggressive, AROW
@@ -1374,14 +1410,14 @@
</li>
- <li class="chapter " data-level="8.2" data-path="../../regression/kddcup12tr2.html">
+ <li class="chapter " data-level="8.3" data-path="../../regression/kddcup12tr2.html">
<a href="../../regression/kddcup12tr2.html">
- <b>8.2.</b>
+ <b>8.3.</b>
- KDDCup 2012 track 2 CTR prediction
+ KDDCup 2012 track 2 CTR prediction tutorial
</a>
@@ -1390,12 +1426,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.2.1" data-path="../../regression/kddcup12tr2_dataset.html">
+ <li class="chapter " data-level="8.3.1" data-path="../../regression/kddcup12tr2_dataset.html">
<a href="../../regression/kddcup12tr2_dataset.html">
- <b>8.2.1.</b>
+ <b>8.3.1.</b>
Data preparation
@@ -1405,12 +1441,12 @@
</li>
- <li class="chapter " data-level="8.2.2" data-path="../../regression/kddcup12tr2_lr.html">
+ <li class="chapter " data-level="8.3.2" data-path="../../regression/kddcup12tr2_lr.html">
<a href="../../regression/kddcup12tr2_lr.html">
- <b>8.2.2.</b>
+ <b>8.3.2.</b>
Logistic Regression, Passive Aggressive
@@ -1420,12 +1456,12 @@
</li>
- <li class="chapter " data-level="8.2.3" data-path="../../regression/kddcup12tr2_lr_amplify.html">
+ <li class="chapter " data-level="8.3.3" data-path="../../regression/kddcup12tr2_lr_amplify.html">
<a href="../../regression/kddcup12tr2_lr_amplify.html">
- <b>8.2.3.</b>
+ <b>8.3.3.</b>
Logistic Regression with Amplifier
@@ -1435,12 +1471,12 @@
</li>
- <li class="chapter " data-level="8.2.4" data-path="../../regression/kddcup12tr2_adagrad.html">
+ <li class="chapter " data-level="8.3.4" data-path="../../regression/kddcup12tr2_adagrad.html">
<a href="../../regression/kddcup12tr2_adagrad.html">
- <b>8.2.4.</b>
+ <b>8.3.4.</b>
AdaGrad, AdaDelta
@@ -2130,7 +2166,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
<script>
var gitbook = gitbook || [];
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[10/41] incubator-hivemall-site git commit: Added descriptions about
Feature Pairing in the user guide
Posted by my...@apache.org.
http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/ba518dab/userguide/regression/kddcup12tr2_lr_amplify.html
----------------------------------------------------------------------
diff --git a/userguide/regression/kddcup12tr2_lr_amplify.html b/userguide/regression/kddcup12tr2_lr_amplify.html
index 1f3a538..6555333 100644
--- a/userguide/regression/kddcup12tr2_lr_amplify.html
+++ b/userguide/regression/kddcup12tr2_lr_amplify.html
@@ -598,14 +598,30 @@
</li>
- <li class="chapter " data-level="3.5" data-path="../ft_engineering/tfidf.html">
+ <li class="chapter " data-level="3.5" data-path="../ft_engineering/pairing.html">
- <a href="../ft_engineering/tfidf.html">
+ <a href="../ft_engineering/pairing.html">
<b>3.5.</b>
- TF-IDF Calculation
+ FEATURE PAIRING
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="3.5.1" data-path="../ft_engineering/polynomial.html">
+
+ <a href="../ft_engineering/polynomial.html">
+
+
+ <b>3.5.1.</b>
+
+ Polynomial Features
</a>
@@ -613,6 +629,11 @@
</li>
+
+ </ul>
+
+ </li>
+
<li class="chapter " data-level="3.6" data-path="../ft_engineering/ft_trans.html">
<a href="../ft_engineering/ft_trans.html">
@@ -664,6 +685,21 @@
</li>
+ <li class="chapter " data-level="3.7" data-path="../ft_engineering/tfidf.html">
+
+ <a href="../ft_engineering/tfidf.html">
+
+
+ <b>3.7.</b>
+
+ TF-IDF Calculation
+
+ </a>
+
+
+
+ </li>
+
@@ -761,7 +797,7 @@
- <li class="header">Part V - Prediction</li>
+ <li class="header">Part V - Supervised Learning</li>
@@ -780,27 +816,19 @@
</li>
- <li class="chapter " data-level="5.2" data-path="general.html">
-
- <a href="general.html">
-
-
- <b>5.2.</b>
-
- Regression
-
- </a>
-
-
- </li>
- <li class="chapter " data-level="5.3" data-path="../binaryclass/general.html">
+
+ <li class="header">Part VI - Binary classification</li>
+
+
+
+ <li class="chapter " data-level="6.1" data-path="../binaryclass/general.html">
<a href="../binaryclass/general.html">
- <b>5.3.</b>
+ <b>6.1.</b>
Binary Classification
@@ -810,21 +838,14 @@
</li>
-
-
-
- <li class="header">Part VI - Binary classification tutorials</li>
-
-
-
- <li class="chapter " data-level="6.1" data-path="../binaryclass/a9a.html">
+ <li class="chapter " data-level="6.2" data-path="../binaryclass/a9a.html">
<a href="../binaryclass/a9a.html">
- <b>6.1.</b>
+ <b>6.2.</b>
- a9a
+ a9a tutorial
</a>
@@ -833,12 +854,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.1.1" data-path="../binaryclass/a9a_dataset.html">
+ <li class="chapter " data-level="6.2.1" data-path="../binaryclass/a9a_dataset.html">
<a href="../binaryclass/a9a_dataset.html">
- <b>6.1.1.</b>
+ <b>6.2.1.</b>
Data preparation
@@ -848,12 +869,12 @@
</li>
- <li class="chapter " data-level="6.1.2" data-path="../binaryclass/a9a_lr.html">
+ <li class="chapter " data-level="6.2.2" data-path="../binaryclass/a9a_lr.html">
<a href="../binaryclass/a9a_lr.html">
- <b>6.1.2.</b>
+ <b>6.2.2.</b>
Logistic Regression
@@ -863,12 +884,12 @@
</li>
- <li class="chapter " data-level="6.1.3" data-path="../binaryclass/a9a_minibatch.html">
+ <li class="chapter " data-level="6.2.3" data-path="../binaryclass/a9a_minibatch.html">
<a href="../binaryclass/a9a_minibatch.html">
- <b>6.1.3.</b>
+ <b>6.2.3.</b>
Mini-batch Gradient Descent
@@ -883,14 +904,14 @@
</li>
- <li class="chapter " data-level="6.2" data-path="../binaryclass/news20.html">
+ <li class="chapter " data-level="6.3" data-path="../binaryclass/news20.html">
<a href="../binaryclass/news20.html">
- <b>6.2.</b>
+ <b>6.3.</b>
- News20
+ News20 tutorial
</a>
@@ -899,12 +920,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.2.1" data-path="../binaryclass/news20_dataset.html">
+ <li class="chapter " data-level="6.3.1" data-path="../binaryclass/news20_dataset.html">
<a href="../binaryclass/news20_dataset.html">
- <b>6.2.1.</b>
+ <b>6.3.1.</b>
Data preparation
@@ -914,12 +935,12 @@
</li>
- <li class="chapter " data-level="6.2.2" data-path="../binaryclass/news20_pa.html">
+ <li class="chapter " data-level="6.3.2" data-path="../binaryclass/news20_pa.html">
<a href="../binaryclass/news20_pa.html">
- <b>6.2.2.</b>
+ <b>6.3.2.</b>
Perceptron, Passive Aggressive
@@ -929,12 +950,12 @@
</li>
- <li class="chapter " data-level="6.2.3" data-path="../binaryclass/news20_scw.html">
+ <li class="chapter " data-level="6.3.3" data-path="../binaryclass/news20_scw.html">
<a href="../binaryclass/news20_scw.html">
- <b>6.2.3.</b>
+ <b>6.3.3.</b>
CW, AROW, SCW
@@ -944,12 +965,12 @@
</li>
- <li class="chapter " data-level="6.2.4" data-path="../binaryclass/news20_adagrad.html">
+ <li class="chapter " data-level="6.3.4" data-path="../binaryclass/news20_adagrad.html">
<a href="../binaryclass/news20_adagrad.html">
- <b>6.2.4.</b>
+ <b>6.3.4.</b>
AdaGradRDA, AdaGrad, AdaDelta
@@ -964,14 +985,14 @@
</li>
- <li class="chapter " data-level="6.3" data-path="../binaryclass/kdd2010a.html">
+ <li class="chapter " data-level="6.4" data-path="../binaryclass/kdd2010a.html">
<a href="../binaryclass/kdd2010a.html">
- <b>6.3.</b>
+ <b>6.4.</b>
- KDD2010a
+ KDD2010a tutorial
</a>
@@ -980,12 +1001,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.3.1" data-path="../binaryclass/kdd2010a_dataset.html">
+ <li class="chapter " data-level="6.4.1" data-path="../binaryclass/kdd2010a_dataset.html">
<a href="../binaryclass/kdd2010a_dataset.html">
- <b>6.3.1.</b>
+ <b>6.4.1.</b>
Data preparation
@@ -995,12 +1016,12 @@
</li>
- <li class="chapter " data-level="6.3.2" data-path="../binaryclass/kdd2010a_scw.html">
+ <li class="chapter " data-level="6.4.2" data-path="../binaryclass/kdd2010a_scw.html">
<a href="../binaryclass/kdd2010a_scw.html">
- <b>6.3.2.</b>
+ <b>6.4.2.</b>
PA, CW, AROW, SCW
@@ -1015,14 +1036,14 @@
</li>
- <li class="chapter " data-level="6.4" data-path="../binaryclass/kdd2010b.html">
+ <li class="chapter " data-level="6.5" data-path="../binaryclass/kdd2010b.html">
<a href="../binaryclass/kdd2010b.html">
- <b>6.4.</b>
+ <b>6.5.</b>
- KDD2010b
+ KDD2010b tutorial
</a>
@@ -1031,12 +1052,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.4.1" data-path="../binaryclass/kdd2010b_dataset.html">
+ <li class="chapter " data-level="6.5.1" data-path="../binaryclass/kdd2010b_dataset.html">
<a href="../binaryclass/kdd2010b_dataset.html">
- <b>6.4.1.</b>
+ <b>6.5.1.</b>
Data preparation
@@ -1046,12 +1067,12 @@
</li>
- <li class="chapter " data-level="6.4.2" data-path="../binaryclass/kdd2010b_arow.html">
+ <li class="chapter " data-level="6.5.2" data-path="../binaryclass/kdd2010b_arow.html">
<a href="../binaryclass/kdd2010b_arow.html">
- <b>6.4.2.</b>
+ <b>6.5.2.</b>
AROW
@@ -1066,14 +1087,14 @@
</li>
- <li class="chapter " data-level="6.5" data-path="../binaryclass/webspam.html">
+ <li class="chapter " data-level="6.6" data-path="../binaryclass/webspam.html">
<a href="../binaryclass/webspam.html">
- <b>6.5.</b>
+ <b>6.6.</b>
- Webspam
+ Webspam tutorial
</a>
@@ -1082,12 +1103,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.5.1" data-path="../binaryclass/webspam_dataset.html">
+ <li class="chapter " data-level="6.6.1" data-path="../binaryclass/webspam_dataset.html">
<a href="../binaryclass/webspam_dataset.html">
- <b>6.5.1.</b>
+ <b>6.6.1.</b>
Data pareparation
@@ -1097,12 +1118,12 @@
</li>
- <li class="chapter " data-level="6.5.2" data-path="../binaryclass/webspam_scw.html">
+ <li class="chapter " data-level="6.6.2" data-path="../binaryclass/webspam_scw.html">
<a href="../binaryclass/webspam_scw.html">
- <b>6.5.2.</b>
+ <b>6.6.2.</b>
PA1, AROW, SCW
@@ -1117,14 +1138,14 @@
</li>
- <li class="chapter " data-level="6.6" data-path="../binaryclass/titanic_rf.html">
+ <li class="chapter " data-level="6.7" data-path="../binaryclass/titanic_rf.html">
<a href="../binaryclass/titanic_rf.html">
- <b>6.6.</b>
+ <b>6.7.</b>
- Kaggle Titanic
+ Kaggle Titanic tutorial
</a>
@@ -1135,7 +1156,7 @@
- <li class="header">Part VII - Multiclass classification tutorials</li>
+ <li class="header">Part VII - Multiclass classification</li>
@@ -1146,7 +1167,7 @@
<b>7.1.</b>
- News20 Multiclass
+ News20 Multiclass tutorial
</a>
@@ -1257,7 +1278,7 @@
<b>7.2.</b>
- Iris
+ Iris tutorial
</a>
@@ -1319,18 +1340,33 @@
- <li class="header">Part VIII - Regression tutorials</li>
+ <li class="header">Part VIII - Regression</li>
- <li class="chapter " data-level="8.1" data-path="e2006.html">
+ <li class="chapter " data-level="8.1" data-path="general.html">
- <a href="e2006.html">
+ <a href="general.html">
<b>8.1.</b>
- E2006-tfidf regression
+ Regression
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="8.2" data-path="e2006.html">
+
+ <a href="e2006.html">
+
+
+ <b>8.2.</b>
+
+ E2006-tfidf regression tutorial
</a>
@@ -1339,12 +1375,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.1.1" data-path="e2006_dataset.html">
+ <li class="chapter " data-level="8.2.1" data-path="e2006_dataset.html">
<a href="e2006_dataset.html">
- <b>8.1.1.</b>
+ <b>8.2.1.</b>
Data preparation
@@ -1354,12 +1390,12 @@
</li>
- <li class="chapter " data-level="8.1.2" data-path="e2006_arow.html">
+ <li class="chapter " data-level="8.2.2" data-path="e2006_arow.html">
<a href="e2006_arow.html">
- <b>8.1.2.</b>
+ <b>8.2.2.</b>
Passive Aggressive, AROW
@@ -1374,14 +1410,14 @@
</li>
- <li class="chapter " data-level="8.2" data-path="kddcup12tr2.html">
+ <li class="chapter " data-level="8.3" data-path="kddcup12tr2.html">
<a href="kddcup12tr2.html">
- <b>8.2.</b>
+ <b>8.3.</b>
- KDDCup 2012 track 2 CTR prediction
+ KDDCup 2012 track 2 CTR prediction tutorial
</a>
@@ -1390,12 +1426,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.2.1" data-path="kddcup12tr2_dataset.html">
+ <li class="chapter " data-level="8.3.1" data-path="kddcup12tr2_dataset.html">
<a href="kddcup12tr2_dataset.html">
- <b>8.2.1.</b>
+ <b>8.3.1.</b>
Data preparation
@@ -1405,12 +1441,12 @@
</li>
- <li class="chapter " data-level="8.2.2" data-path="kddcup12tr2_lr.html">
+ <li class="chapter " data-level="8.3.2" data-path="kddcup12tr2_lr.html">
<a href="kddcup12tr2_lr.html">
- <b>8.2.2.</b>
+ <b>8.3.2.</b>
Logistic Regression, Passive Aggressive
@@ -1420,12 +1456,12 @@
</li>
- <li class="chapter active" data-level="8.2.3" data-path="kddcup12tr2_lr_amplify.html">
+ <li class="chapter active" data-level="8.3.3" data-path="kddcup12tr2_lr_amplify.html">
<a href="kddcup12tr2_lr_amplify.html">
- <b>8.2.3.</b>
+ <b>8.3.3.</b>
Logistic Regression with Amplifier
@@ -1435,12 +1471,12 @@
</li>
- <li class="chapter " data-level="8.2.4" data-path="kddcup12tr2_adagrad.html">
+ <li class="chapter " data-level="8.3.4" data-path="kddcup12tr2_adagrad.html">
<a href="kddcup12tr2_adagrad.html">
- <b>8.2.4.</b>
+ <b>8.3.4.</b>
AdaGrad, AdaDelta
@@ -2223,7 +2259,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
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[35/41] incubator-hivemall-site git commit: Added descriptions about
Feature Pairing in the user guide
Posted by my...@apache.org.
http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/ba518dab/userguide/binaryclass/news20_scw.html
----------------------------------------------------------------------
diff --git a/userguide/binaryclass/news20_scw.html b/userguide/binaryclass/news20_scw.html
index 69c93db..76e9413 100644
--- a/userguide/binaryclass/news20_scw.html
+++ b/userguide/binaryclass/news20_scw.html
@@ -598,14 +598,30 @@
</li>
- <li class="chapter " data-level="3.5" data-path="../ft_engineering/tfidf.html">
+ <li class="chapter " data-level="3.5" data-path="../ft_engineering/pairing.html">
- <a href="../ft_engineering/tfidf.html">
+ <a href="../ft_engineering/pairing.html">
<b>3.5.</b>
- TF-IDF Calculation
+ FEATURE PAIRING
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="3.5.1" data-path="../ft_engineering/polynomial.html">
+
+ <a href="../ft_engineering/polynomial.html">
+
+
+ <b>3.5.1.</b>
+
+ Polynomial Features
</a>
@@ -613,6 +629,11 @@
</li>
+
+ </ul>
+
+ </li>
+
<li class="chapter " data-level="3.6" data-path="../ft_engineering/ft_trans.html">
<a href="../ft_engineering/ft_trans.html">
@@ -664,6 +685,21 @@
</li>
+ <li class="chapter " data-level="3.7" data-path="../ft_engineering/tfidf.html">
+
+ <a href="../ft_engineering/tfidf.html">
+
+
+ <b>3.7.</b>
+
+ TF-IDF Calculation
+
+ </a>
+
+
+
+ </li>
+
@@ -761,7 +797,7 @@
- <li class="header">Part V - Prediction</li>
+ <li class="header">Part V - Supervised Learning</li>
@@ -780,27 +816,19 @@
</li>
- <li class="chapter " data-level="5.2" data-path="../regression/general.html">
-
- <a href="../regression/general.html">
-
-
- <b>5.2.</b>
-
- Regression
-
- </a>
-
-
- </li>
- <li class="chapter " data-level="5.3" data-path="general.html">
+
+ <li class="header">Part VI - Binary classification</li>
+
+
+
+ <li class="chapter " data-level="6.1" data-path="general.html">
<a href="general.html">
- <b>5.3.</b>
+ <b>6.1.</b>
Binary Classification
@@ -810,21 +838,14 @@
</li>
-
-
-
- <li class="header">Part VI - Binary classification tutorials</li>
-
-
-
- <li class="chapter " data-level="6.1" data-path="a9a.html">
+ <li class="chapter " data-level="6.2" data-path="a9a.html">
<a href="a9a.html">
- <b>6.1.</b>
+ <b>6.2.</b>
- a9a
+ a9a tutorial
</a>
@@ -833,12 +854,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.1.1" data-path="a9a_dataset.html">
+ <li class="chapter " data-level="6.2.1" data-path="a9a_dataset.html">
<a href="a9a_dataset.html">
- <b>6.1.1.</b>
+ <b>6.2.1.</b>
Data preparation
@@ -848,12 +869,12 @@
</li>
- <li class="chapter " data-level="6.1.2" data-path="a9a_lr.html">
+ <li class="chapter " data-level="6.2.2" data-path="a9a_lr.html">
<a href="a9a_lr.html">
- <b>6.1.2.</b>
+ <b>6.2.2.</b>
Logistic Regression
@@ -863,12 +884,12 @@
</li>
- <li class="chapter " data-level="6.1.3" data-path="a9a_minibatch.html">
+ <li class="chapter " data-level="6.2.3" data-path="a9a_minibatch.html">
<a href="a9a_minibatch.html">
- <b>6.1.3.</b>
+ <b>6.2.3.</b>
Mini-batch Gradient Descent
@@ -883,14 +904,14 @@
</li>
- <li class="chapter " data-level="6.2" data-path="news20.html">
+ <li class="chapter " data-level="6.3" data-path="news20.html">
<a href="news20.html">
- <b>6.2.</b>
+ <b>6.3.</b>
- News20
+ News20 tutorial
</a>
@@ -899,12 +920,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.2.1" data-path="news20_dataset.html">
+ <li class="chapter " data-level="6.3.1" data-path="news20_dataset.html">
<a href="news20_dataset.html">
- <b>6.2.1.</b>
+ <b>6.3.1.</b>
Data preparation
@@ -914,12 +935,12 @@
</li>
- <li class="chapter " data-level="6.2.2" data-path="news20_pa.html">
+ <li class="chapter " data-level="6.3.2" data-path="news20_pa.html">
<a href="news20_pa.html">
- <b>6.2.2.</b>
+ <b>6.3.2.</b>
Perceptron, Passive Aggressive
@@ -929,12 +950,12 @@
</li>
- <li class="chapter active" data-level="6.2.3" data-path="news20_scw.html">
+ <li class="chapter active" data-level="6.3.3" data-path="news20_scw.html">
<a href="news20_scw.html">
- <b>6.2.3.</b>
+ <b>6.3.3.</b>
CW, AROW, SCW
@@ -944,12 +965,12 @@
</li>
- <li class="chapter " data-level="6.2.4" data-path="news20_adagrad.html">
+ <li class="chapter " data-level="6.3.4" data-path="news20_adagrad.html">
<a href="news20_adagrad.html">
- <b>6.2.4.</b>
+ <b>6.3.4.</b>
AdaGradRDA, AdaGrad, AdaDelta
@@ -964,14 +985,14 @@
</li>
- <li class="chapter " data-level="6.3" data-path="kdd2010a.html">
+ <li class="chapter " data-level="6.4" data-path="kdd2010a.html">
<a href="kdd2010a.html">
- <b>6.3.</b>
+ <b>6.4.</b>
- KDD2010a
+ KDD2010a tutorial
</a>
@@ -980,12 +1001,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.3.1" data-path="kdd2010a_dataset.html">
+ <li class="chapter " data-level="6.4.1" data-path="kdd2010a_dataset.html">
<a href="kdd2010a_dataset.html">
- <b>6.3.1.</b>
+ <b>6.4.1.</b>
Data preparation
@@ -995,12 +1016,12 @@
</li>
- <li class="chapter " data-level="6.3.2" data-path="kdd2010a_scw.html">
+ <li class="chapter " data-level="6.4.2" data-path="kdd2010a_scw.html">
<a href="kdd2010a_scw.html">
- <b>6.3.2.</b>
+ <b>6.4.2.</b>
PA, CW, AROW, SCW
@@ -1015,14 +1036,14 @@
</li>
- <li class="chapter " data-level="6.4" data-path="kdd2010b.html">
+ <li class="chapter " data-level="6.5" data-path="kdd2010b.html">
<a href="kdd2010b.html">
- <b>6.4.</b>
+ <b>6.5.</b>
- KDD2010b
+ KDD2010b tutorial
</a>
@@ -1031,12 +1052,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.4.1" data-path="kdd2010b_dataset.html">
+ <li class="chapter " data-level="6.5.1" data-path="kdd2010b_dataset.html">
<a href="kdd2010b_dataset.html">
- <b>6.4.1.</b>
+ <b>6.5.1.</b>
Data preparation
@@ -1046,12 +1067,12 @@
</li>
- <li class="chapter " data-level="6.4.2" data-path="kdd2010b_arow.html">
+ <li class="chapter " data-level="6.5.2" data-path="kdd2010b_arow.html">
<a href="kdd2010b_arow.html">
- <b>6.4.2.</b>
+ <b>6.5.2.</b>
AROW
@@ -1066,14 +1087,14 @@
</li>
- <li class="chapter " data-level="6.5" data-path="webspam.html">
+ <li class="chapter " data-level="6.6" data-path="webspam.html">
<a href="webspam.html">
- <b>6.5.</b>
+ <b>6.6.</b>
- Webspam
+ Webspam tutorial
</a>
@@ -1082,12 +1103,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.5.1" data-path="webspam_dataset.html">
+ <li class="chapter " data-level="6.6.1" data-path="webspam_dataset.html">
<a href="webspam_dataset.html">
- <b>6.5.1.</b>
+ <b>6.6.1.</b>
Data pareparation
@@ -1097,12 +1118,12 @@
</li>
- <li class="chapter " data-level="6.5.2" data-path="webspam_scw.html">
+ <li class="chapter " data-level="6.6.2" data-path="webspam_scw.html">
<a href="webspam_scw.html">
- <b>6.5.2.</b>
+ <b>6.6.2.</b>
PA1, AROW, SCW
@@ -1117,14 +1138,14 @@
</li>
- <li class="chapter " data-level="6.6" data-path="titanic_rf.html">
+ <li class="chapter " data-level="6.7" data-path="titanic_rf.html">
<a href="titanic_rf.html">
- <b>6.6.</b>
+ <b>6.7.</b>
- Kaggle Titanic
+ Kaggle Titanic tutorial
</a>
@@ -1135,7 +1156,7 @@
- <li class="header">Part VII - Multiclass classification tutorials</li>
+ <li class="header">Part VII - Multiclass classification</li>
@@ -1146,7 +1167,7 @@
<b>7.1.</b>
- News20 Multiclass
+ News20 Multiclass tutorial
</a>
@@ -1257,7 +1278,7 @@
<b>7.2.</b>
- Iris
+ Iris tutorial
</a>
@@ -1319,18 +1340,33 @@
- <li class="header">Part VIII - Regression tutorials</li>
+ <li class="header">Part VIII - Regression</li>
- <li class="chapter " data-level="8.1" data-path="../regression/e2006.html">
+ <li class="chapter " data-level="8.1" data-path="../regression/general.html">
- <a href="../regression/e2006.html">
+ <a href="../regression/general.html">
<b>8.1.</b>
- E2006-tfidf regression
+ Regression
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="8.2" data-path="../regression/e2006.html">
+
+ <a href="../regression/e2006.html">
+
+
+ <b>8.2.</b>
+
+ E2006-tfidf regression tutorial
</a>
@@ -1339,12 +1375,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.1.1" data-path="../regression/e2006_dataset.html">
+ <li class="chapter " data-level="8.2.1" data-path="../regression/e2006_dataset.html">
<a href="../regression/e2006_dataset.html">
- <b>8.1.1.</b>
+ <b>8.2.1.</b>
Data preparation
@@ -1354,12 +1390,12 @@
</li>
- <li class="chapter " data-level="8.1.2" data-path="../regression/e2006_arow.html">
+ <li class="chapter " data-level="8.2.2" data-path="../regression/e2006_arow.html">
<a href="../regression/e2006_arow.html">
- <b>8.1.2.</b>
+ <b>8.2.2.</b>
Passive Aggressive, AROW
@@ -1374,14 +1410,14 @@
</li>
- <li class="chapter " data-level="8.2" data-path="../regression/kddcup12tr2.html">
+ <li class="chapter " data-level="8.3" data-path="../regression/kddcup12tr2.html">
<a href="../regression/kddcup12tr2.html">
- <b>8.2.</b>
+ <b>8.3.</b>
- KDDCup 2012 track 2 CTR prediction
+ KDDCup 2012 track 2 CTR prediction tutorial
</a>
@@ -1390,12 +1426,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.2.1" data-path="../regression/kddcup12tr2_dataset.html">
+ <li class="chapter " data-level="8.3.1" data-path="../regression/kddcup12tr2_dataset.html">
<a href="../regression/kddcup12tr2_dataset.html">
- <b>8.2.1.</b>
+ <b>8.3.1.</b>
Data preparation
@@ -1405,12 +1441,12 @@
</li>
- <li class="chapter " data-level="8.2.2" data-path="../regression/kddcup12tr2_lr.html">
+ <li class="chapter " data-level="8.3.2" data-path="../regression/kddcup12tr2_lr.html">
<a href="../regression/kddcup12tr2_lr.html">
- <b>8.2.2.</b>
+ <b>8.3.2.</b>
Logistic Regression, Passive Aggressive
@@ -1420,12 +1456,12 @@
</li>
- <li class="chapter " data-level="8.2.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
+ <li class="chapter " data-level="8.3.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
<a href="../regression/kddcup12tr2_lr_amplify.html">
- <b>8.2.3.</b>
+ <b>8.3.3.</b>
Logistic Regression with Amplifier
@@ -1435,12 +1471,12 @@
</li>
- <li class="chapter " data-level="8.2.4" data-path="../regression/kddcup12tr2_adagrad.html">
+ <li class="chapter " data-level="8.3.4" data-path="../regression/kddcup12tr2_adagrad.html">
<a href="../regression/kddcup12tr2_adagrad.html">
- <b>8.2.4.</b>
+ <b>8.3.4.</b>
AdaGrad, AdaDelta
@@ -2388,7 +2424,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
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diff --git a/userguide/binaryclass/titanic_rf.html b/userguide/binaryclass/titanic_rf.html
index 904709e..b76030d 100644
--- a/userguide/binaryclass/titanic_rf.html
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@@ -4,7 +4,7 @@
<head>
<meta charset="UTF-8">
<meta content="text/html; charset=utf-8" http-equiv="Content-Type">
- <title>Kaggle Titanic · Hivemall User Manual</title>
+ <title>Kaggle Titanic tutorial · Hivemall User Manual</title>
<meta http-equiv="X-UA-Compatible" content="IE=edge" />
<meta name="description" content="">
<meta name="generator" content="GitBook 3.2.2">
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</li>
- <li class="chapter " data-level="3.5" data-path="../ft_engineering/tfidf.html">
+ <li class="chapter " data-level="3.5" data-path="../ft_engineering/pairing.html">
- <a href="../ft_engineering/tfidf.html">
+ <a href="../ft_engineering/pairing.html">
<b>3.5.</b>
- TF-IDF Calculation
+ FEATURE PAIRING
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="3.5.1" data-path="../ft_engineering/polynomial.html">
+
+ <a href="../ft_engineering/polynomial.html">
+
+
+ <b>3.5.1.</b>
+
+ Polynomial Features
</a>
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</li>
+
+ </ul>
+
+ </li>
+
<li class="chapter " data-level="3.6" data-path="../ft_engineering/ft_trans.html">
<a href="../ft_engineering/ft_trans.html">
@@ -664,6 +685,21 @@
</li>
+ <li class="chapter " data-level="3.7" data-path="../ft_engineering/tfidf.html">
+
+ <a href="../ft_engineering/tfidf.html">
+
+
+ <b>3.7.</b>
+
+ TF-IDF Calculation
+
+ </a>
+
+
+
+ </li>
+
@@ -761,7 +797,7 @@
- <li class="header">Part V - Prediction</li>
+ <li class="header">Part V - Supervised Learning</li>
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</li>
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-
-
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-
- Regression
-
- </a>
-
-
- </li>
- <li class="chapter " data-level="5.3" data-path="general.html">
+
+ <li class="header">Part VI - Binary classification</li>
+
+
+
+ <li class="chapter " data-level="6.1" data-path="general.html">
<a href="general.html">
- <b>5.3.</b>
+ <b>6.1.</b>
Binary Classification
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</li>
-
-
-
- <li class="header">Part VI - Binary classification tutorials</li>
-
-
-
- <li class="chapter " data-level="6.1" data-path="a9a.html">
+ <li class="chapter " data-level="6.2" data-path="a9a.html">
<a href="a9a.html">
- <b>6.1.</b>
+ <b>6.2.</b>
- a9a
+ a9a tutorial
</a>
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<ul class="articles">
- <li class="chapter " data-level="6.1.1" data-path="a9a_dataset.html">
+ <li class="chapter " data-level="6.2.1" data-path="a9a_dataset.html">
<a href="a9a_dataset.html">
- <b>6.1.1.</b>
+ <b>6.2.1.</b>
Data preparation
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</li>
- <li class="chapter " data-level="6.1.2" data-path="a9a_lr.html">
+ <li class="chapter " data-level="6.2.2" data-path="a9a_lr.html">
<a href="a9a_lr.html">
- <b>6.1.2.</b>
+ <b>6.2.2.</b>
Logistic Regression
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</li>
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+ <li class="chapter " data-level="6.2.3" data-path="a9a_minibatch.html">
<a href="a9a_minibatch.html">
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+ <b>6.2.3.</b>
Mini-batch Gradient Descent
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</li>
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+ <li class="chapter " data-level="6.3" data-path="news20.html">
<a href="news20.html">
- <b>6.2.</b>
+ <b>6.3.</b>
- News20
+ News20 tutorial
</a>
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<ul class="articles">
- <li class="chapter " data-level="6.2.1" data-path="news20_dataset.html">
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<a href="news20_dataset.html">
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Data preparation
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</li>
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<a href="news20_pa.html">
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Perceptron, Passive Aggressive
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</li>
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<a href="news20_scw.html">
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CW, AROW, SCW
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</li>
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<a href="news20_adagrad.html">
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+ <b>6.3.4.</b>
AdaGradRDA, AdaGrad, AdaDelta
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</li>
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+ <li class="chapter " data-level="6.4" data-path="kdd2010a.html">
<a href="kdd2010a.html">
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+ <b>6.4.</b>
- KDD2010a
+ KDD2010a tutorial
</a>
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<ul class="articles">
- <li class="chapter " data-level="6.3.1" data-path="kdd2010a_dataset.html">
+ <li class="chapter " data-level="6.4.1" data-path="kdd2010a_dataset.html">
<a href="kdd2010a_dataset.html">
- <b>6.3.1.</b>
+ <b>6.4.1.</b>
Data preparation
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</li>
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<a href="kdd2010a_scw.html">
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+ <b>6.4.2.</b>
PA, CW, AROW, SCW
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</li>
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<a href="kdd2010b.html">
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+ <b>6.5.</b>
- KDD2010b
+ KDD2010b tutorial
</a>
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<ul class="articles">
- <li class="chapter " data-level="6.4.1" data-path="kdd2010b_dataset.html">
+ <li class="chapter " data-level="6.5.1" data-path="kdd2010b_dataset.html">
<a href="kdd2010b_dataset.html">
- <b>6.4.1.</b>
+ <b>6.5.1.</b>
Data preparation
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</li>
- <li class="chapter " data-level="6.4.2" data-path="kdd2010b_arow.html">
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<a href="kdd2010b_arow.html">
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AROW
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</li>
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<a href="webspam.html">
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+ <b>6.6.</b>
- Webspam
+ Webspam tutorial
</a>
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<ul class="articles">
- <li class="chapter " data-level="6.5.1" data-path="webspam_dataset.html">
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<a href="webspam_dataset.html">
- <b>6.5.1.</b>
+ <b>6.6.1.</b>
Data pareparation
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</li>
- <li class="chapter " data-level="6.5.2" data-path="webspam_scw.html">
+ <li class="chapter " data-level="6.6.2" data-path="webspam_scw.html">
<a href="webspam_scw.html">
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+ <b>6.6.2.</b>
PA1, AROW, SCW
@@ -1117,14 +1138,14 @@
</li>
- <li class="chapter active" data-level="6.6" data-path="titanic_rf.html">
+ <li class="chapter active" data-level="6.7" data-path="titanic_rf.html">
<a href="titanic_rf.html">
- <b>6.6.</b>
+ <b>6.7.</b>
- Kaggle Titanic
+ Kaggle Titanic tutorial
</a>
@@ -1135,7 +1156,7 @@
- <li class="header">Part VII - Multiclass classification tutorials</li>
+ <li class="header">Part VII - Multiclass classification</li>
@@ -1146,7 +1167,7 @@
<b>7.1.</b>
- News20 Multiclass
+ News20 Multiclass tutorial
</a>
@@ -1257,7 +1278,7 @@
<b>7.2.</b>
- Iris
+ Iris tutorial
</a>
@@ -1319,18 +1340,33 @@
- <li class="header">Part VIII - Regression tutorials</li>
+ <li class="header">Part VIII - Regression</li>
- <li class="chapter " data-level="8.1" data-path="../regression/e2006.html">
+ <li class="chapter " data-level="8.1" data-path="../regression/general.html">
- <a href="../regression/e2006.html">
+ <a href="../regression/general.html">
<b>8.1.</b>
- E2006-tfidf regression
+ Regression
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="8.2" data-path="../regression/e2006.html">
+
+ <a href="../regression/e2006.html">
+
+
+ <b>8.2.</b>
+
+ E2006-tfidf regression tutorial
</a>
@@ -1339,12 +1375,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.1.1" data-path="../regression/e2006_dataset.html">
+ <li class="chapter " data-level="8.2.1" data-path="../regression/e2006_dataset.html">
<a href="../regression/e2006_dataset.html">
- <b>8.1.1.</b>
+ <b>8.2.1.</b>
Data preparation
@@ -1354,12 +1390,12 @@
</li>
- <li class="chapter " data-level="8.1.2" data-path="../regression/e2006_arow.html">
+ <li class="chapter " data-level="8.2.2" data-path="../regression/e2006_arow.html">
<a href="../regression/e2006_arow.html">
- <b>8.1.2.</b>
+ <b>8.2.2.</b>
Passive Aggressive, AROW
@@ -1374,14 +1410,14 @@
</li>
- <li class="chapter " data-level="8.2" data-path="../regression/kddcup12tr2.html">
+ <li class="chapter " data-level="8.3" data-path="../regression/kddcup12tr2.html">
<a href="../regression/kddcup12tr2.html">
- <b>8.2.</b>
+ <b>8.3.</b>
- KDDCup 2012 track 2 CTR prediction
+ KDDCup 2012 track 2 CTR prediction tutorial
</a>
@@ -1390,12 +1426,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.2.1" data-path="../regression/kddcup12tr2_dataset.html">
+ <li class="chapter " data-level="8.3.1" data-path="../regression/kddcup12tr2_dataset.html">
<a href="../regression/kddcup12tr2_dataset.html">
- <b>8.2.1.</b>
+ <b>8.3.1.</b>
Data preparation
@@ -1405,12 +1441,12 @@
</li>
- <li class="chapter " data-level="8.2.2" data-path="../regression/kddcup12tr2_lr.html">
+ <li class="chapter " data-level="8.3.2" data-path="../regression/kddcup12tr2_lr.html">
<a href="../regression/kddcup12tr2_lr.html">
- <b>8.2.2.</b>
+ <b>8.3.2.</b>
Logistic Regression, Passive Aggressive
@@ -1420,12 +1456,12 @@
</li>
- <li class="chapter " data-level="8.2.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
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<a href="../regression/kddcup12tr2_lr_amplify.html">
- <b>8.2.3.</b>
+ <b>8.3.3.</b>
Logistic Regression with Amplifier
@@ -1435,12 +1471,12 @@
</li>
- <li class="chapter " data-level="8.2.4" data-path="../regression/kddcup12tr2_adagrad.html">
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<a href="../regression/kddcup12tr2_adagrad.html">
- <b>8.2.4.</b>
+ <b>8.3.4.</b>
AdaGrad, AdaDelta
@@ -2041,7 +2077,7 @@
<!-- Title -->
<h1>
<i class="fa fa-circle-o-notch fa-spin"></i>
- <a href=".." >Kaggle Titanic</a>
+ <a href=".." >Kaggle Titanic tutorial</a>
</h1>
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@@ -2416,7 +2452,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
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http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/ba518dab/userguide/binaryclass/webspam.html
----------------------------------------------------------------------
diff --git a/userguide/binaryclass/webspam.html b/userguide/binaryclass/webspam.html
index 5722e7b..a3e81d6 100644
--- a/userguide/binaryclass/webspam.html
+++ b/userguide/binaryclass/webspam.html
@@ -4,7 +4,7 @@
<head>
<meta charset="UTF-8">
<meta content="text/html; charset=utf-8" http-equiv="Content-Type">
- <title>Webspam · Hivemall User Manual</title>
+ <title>Webspam tutorial · Hivemall User Manual</title>
<meta http-equiv="X-UA-Compatible" content="IE=edge" />
<meta name="description" content="">
<meta name="generator" content="GitBook 3.2.2">
@@ -598,14 +598,30 @@
</li>
- <li class="chapter " data-level="3.5" data-path="../ft_engineering/tfidf.html">
+ <li class="chapter " data-level="3.5" data-path="../ft_engineering/pairing.html">
- <a href="../ft_engineering/tfidf.html">
+ <a href="../ft_engineering/pairing.html">
<b>3.5.</b>
- TF-IDF Calculation
+ FEATURE PAIRING
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="3.5.1" data-path="../ft_engineering/polynomial.html">
+
+ <a href="../ft_engineering/polynomial.html">
+
+
+ <b>3.5.1.</b>
+
+ Polynomial Features
</a>
@@ -613,6 +629,11 @@
</li>
+
+ </ul>
+
+ </li>
+
<li class="chapter " data-level="3.6" data-path="../ft_engineering/ft_trans.html">
<a href="../ft_engineering/ft_trans.html">
@@ -664,6 +685,21 @@
</li>
+ <li class="chapter " data-level="3.7" data-path="../ft_engineering/tfidf.html">
+
+ <a href="../ft_engineering/tfidf.html">
+
+
+ <b>3.7.</b>
+
+ TF-IDF Calculation
+
+ </a>
+
+
+
+ </li>
+
@@ -761,7 +797,7 @@
- <li class="header">Part V - Prediction</li>
+ <li class="header">Part V - Supervised Learning</li>
@@ -780,27 +816,19 @@
</li>
- <li class="chapter " data-level="5.2" data-path="../regression/general.html">
-
- <a href="../regression/general.html">
-
-
- <b>5.2.</b>
-
- Regression
-
- </a>
-
-
- </li>
- <li class="chapter " data-level="5.3" data-path="general.html">
+
+ <li class="header">Part VI - Binary classification</li>
+
+
+
+ <li class="chapter " data-level="6.1" data-path="general.html">
<a href="general.html">
- <b>5.3.</b>
+ <b>6.1.</b>
Binary Classification
@@ -810,21 +838,14 @@
</li>
-
-
-
- <li class="header">Part VI - Binary classification tutorials</li>
-
-
-
- <li class="chapter " data-level="6.1" data-path="a9a.html">
+ <li class="chapter " data-level="6.2" data-path="a9a.html">
<a href="a9a.html">
- <b>6.1.</b>
+ <b>6.2.</b>
- a9a
+ a9a tutorial
</a>
@@ -833,12 +854,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.1.1" data-path="a9a_dataset.html">
+ <li class="chapter " data-level="6.2.1" data-path="a9a_dataset.html">
<a href="a9a_dataset.html">
- <b>6.1.1.</b>
+ <b>6.2.1.</b>
Data preparation
@@ -848,12 +869,12 @@
</li>
- <li class="chapter " data-level="6.1.2" data-path="a9a_lr.html">
+ <li class="chapter " data-level="6.2.2" data-path="a9a_lr.html">
<a href="a9a_lr.html">
- <b>6.1.2.</b>
+ <b>6.2.2.</b>
Logistic Regression
@@ -863,12 +884,12 @@
</li>
- <li class="chapter " data-level="6.1.3" data-path="a9a_minibatch.html">
+ <li class="chapter " data-level="6.2.3" data-path="a9a_minibatch.html">
<a href="a9a_minibatch.html">
- <b>6.1.3.</b>
+ <b>6.2.3.</b>
Mini-batch Gradient Descent
@@ -883,14 +904,14 @@
</li>
- <li class="chapter " data-level="6.2" data-path="news20.html">
+ <li class="chapter " data-level="6.3" data-path="news20.html">
<a href="news20.html">
- <b>6.2.</b>
+ <b>6.3.</b>
- News20
+ News20 tutorial
</a>
@@ -899,12 +920,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.2.1" data-path="news20_dataset.html">
+ <li class="chapter " data-level="6.3.1" data-path="news20_dataset.html">
<a href="news20_dataset.html">
- <b>6.2.1.</b>
+ <b>6.3.1.</b>
Data preparation
@@ -914,12 +935,12 @@
</li>
- <li class="chapter " data-level="6.2.2" data-path="news20_pa.html">
+ <li class="chapter " data-level="6.3.2" data-path="news20_pa.html">
<a href="news20_pa.html">
- <b>6.2.2.</b>
+ <b>6.3.2.</b>
Perceptron, Passive Aggressive
@@ -929,12 +950,12 @@
</li>
- <li class="chapter " data-level="6.2.3" data-path="news20_scw.html">
+ <li class="chapter " data-level="6.3.3" data-path="news20_scw.html">
<a href="news20_scw.html">
- <b>6.2.3.</b>
+ <b>6.3.3.</b>
CW, AROW, SCW
@@ -944,12 +965,12 @@
</li>
- <li class="chapter " data-level="6.2.4" data-path="news20_adagrad.html">
+ <li class="chapter " data-level="6.3.4" data-path="news20_adagrad.html">
<a href="news20_adagrad.html">
- <b>6.2.4.</b>
+ <b>6.3.4.</b>
AdaGradRDA, AdaGrad, AdaDelta
@@ -964,14 +985,14 @@
</li>
- <li class="chapter " data-level="6.3" data-path="kdd2010a.html">
+ <li class="chapter " data-level="6.4" data-path="kdd2010a.html">
<a href="kdd2010a.html">
- <b>6.3.</b>
+ <b>6.4.</b>
- KDD2010a
+ KDD2010a tutorial
</a>
@@ -980,12 +1001,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.3.1" data-path="kdd2010a_dataset.html">
+ <li class="chapter " data-level="6.4.1" data-path="kdd2010a_dataset.html">
<a href="kdd2010a_dataset.html">
- <b>6.3.1.</b>
+ <b>6.4.1.</b>
Data preparation
@@ -995,12 +1016,12 @@
</li>
- <li class="chapter " data-level="6.3.2" data-path="kdd2010a_scw.html">
+ <li class="chapter " data-level="6.4.2" data-path="kdd2010a_scw.html">
<a href="kdd2010a_scw.html">
- <b>6.3.2.</b>
+ <b>6.4.2.</b>
PA, CW, AROW, SCW
@@ -1015,14 +1036,14 @@
</li>
- <li class="chapter " data-level="6.4" data-path="kdd2010b.html">
+ <li class="chapter " data-level="6.5" data-path="kdd2010b.html">
<a href="kdd2010b.html">
- <b>6.4.</b>
+ <b>6.5.</b>
- KDD2010b
+ KDD2010b tutorial
</a>
@@ -1031,12 +1052,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.4.1" data-path="kdd2010b_dataset.html">
+ <li class="chapter " data-level="6.5.1" data-path="kdd2010b_dataset.html">
<a href="kdd2010b_dataset.html">
- <b>6.4.1.</b>
+ <b>6.5.1.</b>
Data preparation
@@ -1046,12 +1067,12 @@
</li>
- <li class="chapter " data-level="6.4.2" data-path="kdd2010b_arow.html">
+ <li class="chapter " data-level="6.5.2" data-path="kdd2010b_arow.html">
<a href="kdd2010b_arow.html">
- <b>6.4.2.</b>
+ <b>6.5.2.</b>
AROW
@@ -1066,14 +1087,14 @@
</li>
- <li class="chapter active" data-level="6.5" data-path="webspam.html">
+ <li class="chapter active" data-level="6.6" data-path="webspam.html">
<a href="webspam.html">
- <b>6.5.</b>
+ <b>6.6.</b>
- Webspam
+ Webspam tutorial
</a>
@@ -1082,12 +1103,12 @@
<ul class="articles">
- <li class="chapter " data-level="6.5.1" data-path="webspam_dataset.html">
+ <li class="chapter " data-level="6.6.1" data-path="webspam_dataset.html">
<a href="webspam_dataset.html">
- <b>6.5.1.</b>
+ <b>6.6.1.</b>
Data pareparation
@@ -1097,12 +1118,12 @@
</li>
- <li class="chapter " data-level="6.5.2" data-path="webspam_scw.html">
+ <li class="chapter " data-level="6.6.2" data-path="webspam_scw.html">
<a href="webspam_scw.html">
- <b>6.5.2.</b>
+ <b>6.6.2.</b>
PA1, AROW, SCW
@@ -1117,14 +1138,14 @@
</li>
- <li class="chapter " data-level="6.6" data-path="titanic_rf.html">
+ <li class="chapter " data-level="6.7" data-path="titanic_rf.html">
<a href="titanic_rf.html">
- <b>6.6.</b>
+ <b>6.7.</b>
- Kaggle Titanic
+ Kaggle Titanic tutorial
</a>
@@ -1135,7 +1156,7 @@
- <li class="header">Part VII - Multiclass classification tutorials</li>
+ <li class="header">Part VII - Multiclass classification</li>
@@ -1146,7 +1167,7 @@
<b>7.1.</b>
- News20 Multiclass
+ News20 Multiclass tutorial
</a>
@@ -1257,7 +1278,7 @@
<b>7.2.</b>
- Iris
+ Iris tutorial
</a>
@@ -1319,18 +1340,33 @@
- <li class="header">Part VIII - Regression tutorials</li>
+ <li class="header">Part VIII - Regression</li>
- <li class="chapter " data-level="8.1" data-path="../regression/e2006.html">
+ <li class="chapter " data-level="8.1" data-path="../regression/general.html">
- <a href="../regression/e2006.html">
+ <a href="../regression/general.html">
<b>8.1.</b>
- E2006-tfidf regression
+ Regression
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="8.2" data-path="../regression/e2006.html">
+
+ <a href="../regression/e2006.html">
+
+
+ <b>8.2.</b>
+
+ E2006-tfidf regression tutorial
</a>
@@ -1339,12 +1375,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.1.1" data-path="../regression/e2006_dataset.html">
+ <li class="chapter " data-level="8.2.1" data-path="../regression/e2006_dataset.html">
<a href="../regression/e2006_dataset.html">
- <b>8.1.1.</b>
+ <b>8.2.1.</b>
Data preparation
@@ -1354,12 +1390,12 @@
</li>
- <li class="chapter " data-level="8.1.2" data-path="../regression/e2006_arow.html">
+ <li class="chapter " data-level="8.2.2" data-path="../regression/e2006_arow.html">
<a href="../regression/e2006_arow.html">
- <b>8.1.2.</b>
+ <b>8.2.2.</b>
Passive Aggressive, AROW
@@ -1374,14 +1410,14 @@
</li>
- <li class="chapter " data-level="8.2" data-path="../regression/kddcup12tr2.html">
+ <li class="chapter " data-level="8.3" data-path="../regression/kddcup12tr2.html">
<a href="../regression/kddcup12tr2.html">
- <b>8.2.</b>
+ <b>8.3.</b>
- KDDCup 2012 track 2 CTR prediction
+ KDDCup 2012 track 2 CTR prediction tutorial
</a>
@@ -1390,12 +1426,12 @@
<ul class="articles">
- <li class="chapter " data-level="8.2.1" data-path="../regression/kddcup12tr2_dataset.html">
+ <li class="chapter " data-level="8.3.1" data-path="../regression/kddcup12tr2_dataset.html">
<a href="../regression/kddcup12tr2_dataset.html">
- <b>8.2.1.</b>
+ <b>8.3.1.</b>
Data preparation
@@ -1405,12 +1441,12 @@
</li>
- <li class="chapter " data-level="8.2.2" data-path="../regression/kddcup12tr2_lr.html">
+ <li class="chapter " data-level="8.3.2" data-path="../regression/kddcup12tr2_lr.html">
<a href="../regression/kddcup12tr2_lr.html">
- <b>8.2.2.</b>
+ <b>8.3.2.</b>
Logistic Regression, Passive Aggressive
@@ -1420,12 +1456,12 @@
</li>
- <li class="chapter " data-level="8.2.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
+ <li class="chapter " data-level="8.3.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
<a href="../regression/kddcup12tr2_lr_amplify.html">
- <b>8.2.3.</b>
+ <b>8.3.3.</b>
Logistic Regression with Amplifier
@@ -1435,12 +1471,12 @@
</li>
- <li class="chapter " data-level="8.2.4" data-path="../regression/kddcup12tr2_adagrad.html">
+ <li class="chapter " data-level="8.3.4" data-path="../regression/kddcup12tr2_adagrad.html">
<a href="../regression/kddcup12tr2_adagrad.html">
- <b>8.2.4.</b>
+ <b>8.3.4.</b>
AdaGrad, AdaDelta
@@ -2041,7 +2077,7 @@
<!-- Title -->
<h1>
<i class="fa fa-circle-o-notch fa-spin"></i>
- <a href=".." >Webspam</a>
+ <a href=".." >Webspam tutorial</a>
</h1>
</div>
@@ -2129,7 +2165,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
<script>
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