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Posted to commits@hivemall.apache.org by my...@apache.org on 2017/05/08 09:00:55 UTC
[01/19] incubator-hivemall-site git commit: Added feature binning
documentation
Repository: incubator-hivemall-site
Updated Branches:
refs/heads/asf-site ceeebcea3 -> 15b9991a5
http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/15b9991a/userguide/tips/rowid.html
----------------------------------------------------------------------
diff --git a/userguide/tips/rowid.html b/userguide/tips/rowid.html
index dda90e5..3094533 100644
--- a/userguide/tips/rowid.html
+++ b/userguide/tips/rowid.html
@@ -568,14 +568,14 @@
</li>
- <li class="chapter " data-level="3.3" data-path="../ft_engineering/tfidf.html">
+ <li class="chapter " data-level="3.3" data-path="../ft_engineering/selection.html">
- <a href="../ft_engineering/tfidf.html">
+ <a href="../ft_engineering/selection.html">
<b>3.3.</b>
- TF-IDF calculation
+ Feature Selection
</a>
@@ -583,30 +583,29 @@
</li>
- <li class="chapter " data-level="3.4" data-path="../ft_engineering/ft_trans.html">
+ <li class="chapter " data-level="3.4" data-path="../ft_engineering/binning.html">
- <a href="../ft_engineering/ft_trans.html">
+ <a href="../ft_engineering/binning.html">
<b>3.4.</b>
- FEATURE TRANSFORMATION
+ Feature Binning
</a>
- <ul class="articles">
-
+ </li>
- <li class="chapter " data-level="3.4.1" data-path="../ft_engineering/vectorizer.html">
+ <li class="chapter " data-level="3.5" data-path="../ft_engineering/tfidf.html">
- <a href="../ft_engineering/vectorizer.html">
+ <a href="../ft_engineering/tfidf.html">
- <b>3.4.1.</b>
+ <b>3.5.</b>
- Vectorize Features
+ TF-IDF Calculation
</a>
@@ -614,34 +613,45 @@
</li>
- <li class="chapter " data-level="3.4.2" data-path="../ft_engineering/quantify.html">
+ <li class="chapter " data-level="3.6" data-path="../ft_engineering/ft_trans.html">
- <a href="../ft_engineering/quantify.html">
+ <a href="../ft_engineering/ft_trans.html">
- <b>3.4.2.</b>
+ <b>3.6.</b>
- Quantify non-number features
+ FEATURE TRANSFORMATION
</a>
- </li>
+ <ul class="articles">
+
+ <li class="chapter " data-level="3.6.1" data-path="../ft_engineering/vectorization.html">
+
+ <a href="../ft_engineering/vectorization.html">
+
+
+ <b>3.6.1.</b>
+
+ Feature Vectorization
+
+ </a>
+
- </ul>
</li>
- <li class="chapter " data-level="3.5" data-path="../ft_engineering/feature_selection.html">
+ <li class="chapter " data-level="3.6.2" data-path="../ft_engineering/quantify.html">
- <a href="../ft_engineering/feature_selection.html">
+ <a href="../ft_engineering/quantify.html">
- <b>3.5.</b>
+ <b>3.6.2.</b>
- Feature selection
+ Quantify non-number features
</a>
@@ -650,6 +660,11 @@
</li>
+ </ul>
+
+ </li>
+
+
<li class="header">Part IV - Evaluation</li>
@@ -2088,7 +2103,7 @@ 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/15b9991a/userguide/tips/rt_prediction.html
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diff --git a/userguide/tips/rt_prediction.html b/userguide/tips/rt_prediction.html
index 9f0eb2d..fea4e2f 100644
--- a/userguide/tips/rt_prediction.html
+++ b/userguide/tips/rt_prediction.html
@@ -568,14 +568,14 @@
</li>
- <li class="chapter " data-level="3.3" data-path="../ft_engineering/tfidf.html">
+ <li class="chapter " data-level="3.3" data-path="../ft_engineering/selection.html">
- <a href="../ft_engineering/tfidf.html">
+ <a href="../ft_engineering/selection.html">
<b>3.3.</b>
- TF-IDF calculation
+ Feature Selection
</a>
@@ -583,30 +583,29 @@
</li>
- <li class="chapter " data-level="3.4" data-path="../ft_engineering/ft_trans.html">
+ <li class="chapter " data-level="3.4" data-path="../ft_engineering/binning.html">
- <a href="../ft_engineering/ft_trans.html">
+ <a href="../ft_engineering/binning.html">
<b>3.4.</b>
- FEATURE TRANSFORMATION
+ Feature Binning
</a>
- <ul class="articles">
-
+ </li>
- <li class="chapter " data-level="3.4.1" data-path="../ft_engineering/vectorizer.html">
+ <li class="chapter " data-level="3.5" data-path="../ft_engineering/tfidf.html">
- <a href="../ft_engineering/vectorizer.html">
+ <a href="../ft_engineering/tfidf.html">
- <b>3.4.1.</b>
+ <b>3.5.</b>
- Vectorize Features
+ TF-IDF Calculation
</a>
@@ -614,34 +613,45 @@
</li>
- <li class="chapter " data-level="3.4.2" data-path="../ft_engineering/quantify.html">
+ <li class="chapter " data-level="3.6" data-path="../ft_engineering/ft_trans.html">
- <a href="../ft_engineering/quantify.html">
+ <a href="../ft_engineering/ft_trans.html">
- <b>3.4.2.</b>
+ <b>3.6.</b>
- Quantify non-number features
+ FEATURE TRANSFORMATION
</a>
- </li>
+ <ul class="articles">
+
+ <li class="chapter " data-level="3.6.1" data-path="../ft_engineering/vectorization.html">
+
+ <a href="../ft_engineering/vectorization.html">
+
+
+ <b>3.6.1.</b>
+
+ Feature Vectorization
+
+ </a>
+
- </ul>
</li>
- <li class="chapter " data-level="3.5" data-path="../ft_engineering/feature_selection.html">
+ <li class="chapter " data-level="3.6.2" data-path="../ft_engineering/quantify.html">
- <a href="../ft_engineering/feature_selection.html">
+ <a href="../ft_engineering/quantify.html">
- <b>3.5.</b>
+ <b>3.6.2.</b>
- Feature selection
+ Quantify non-number features
</a>
@@ -650,6 +660,11 @@
</li>
+ </ul>
+
+ </li>
+
+
<li class="header">Part IV - Evaluation</li>
@@ -2236,7 +2251,7 @@ 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/15b9991a/userguide/troubleshooting/asterisk.html
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diff --git a/userguide/troubleshooting/asterisk.html b/userguide/troubleshooting/asterisk.html
index a4d2f6e..7f32c87 100644
--- a/userguide/troubleshooting/asterisk.html
+++ b/userguide/troubleshooting/asterisk.html
@@ -568,14 +568,14 @@
</li>
- <li class="chapter " data-level="3.3" data-path="../ft_engineering/tfidf.html">
+ <li class="chapter " data-level="3.3" data-path="../ft_engineering/selection.html">
- <a href="../ft_engineering/tfidf.html">
+ <a href="../ft_engineering/selection.html">
<b>3.3.</b>
- TF-IDF calculation
+ Feature Selection
</a>
@@ -583,30 +583,29 @@
</li>
- <li class="chapter " data-level="3.4" data-path="../ft_engineering/ft_trans.html">
+ <li class="chapter " data-level="3.4" data-path="../ft_engineering/binning.html">
- <a href="../ft_engineering/ft_trans.html">
+ <a href="../ft_engineering/binning.html">
<b>3.4.</b>
- FEATURE TRANSFORMATION
+ Feature Binning
</a>
- <ul class="articles">
-
+ </li>
- <li class="chapter " data-level="3.4.1" data-path="../ft_engineering/vectorizer.html">
+ <li class="chapter " data-level="3.5" data-path="../ft_engineering/tfidf.html">
- <a href="../ft_engineering/vectorizer.html">
+ <a href="../ft_engineering/tfidf.html">
- <b>3.4.1.</b>
+ <b>3.5.</b>
- Vectorize Features
+ TF-IDF Calculation
</a>
@@ -614,34 +613,45 @@
</li>
- <li class="chapter " data-level="3.4.2" data-path="../ft_engineering/quantify.html">
+ <li class="chapter " data-level="3.6" data-path="../ft_engineering/ft_trans.html">
- <a href="../ft_engineering/quantify.html">
+ <a href="../ft_engineering/ft_trans.html">
- <b>3.4.2.</b>
+ <b>3.6.</b>
- Quantify non-number features
+ FEATURE TRANSFORMATION
</a>
- </li>
+ <ul class="articles">
+
+ <li class="chapter " data-level="3.6.1" data-path="../ft_engineering/vectorization.html">
+
+ <a href="../ft_engineering/vectorization.html">
+
+
+ <b>3.6.1.</b>
+
+ Feature Vectorization
+
+ </a>
+
- </ul>
</li>
- <li class="chapter " data-level="3.5" data-path="../ft_engineering/feature_selection.html">
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- <a href="../ft_engineering/feature_selection.html">
+ <a href="../ft_engineering/quantify.html">
- <b>3.5.</b>
+ <b>3.6.2.</b>
- Feature selection
+ Quantify non-number features
</a>
@@ -650,6 +660,11 @@
</li>
+ </ul>
+
+ </li>
+
+
<li class="header">Part IV - Evaluation</li>
@@ -2049,7 +2064,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
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<b>3.4.</b>
- FEATURE TRANSFORMATION
+ Feature Binning
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<b>3.4.</b>
- FEATURE TRANSFORMATION
+ Feature Binning
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+ <b>3.5.</b>
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- Feature selection
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@@ -650,6 +660,11 @@
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- Quantify non-number features
+ FEATURE TRANSFORMATION
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- Feature selection
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[15/19] incubator-hivemall-site git commit: Added feature binning
documentation
Posted by my...@apache.org.
http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/15b9991a/userguide/ft_engineering/binning.html
----------------------------------------------------------------------
diff --git a/userguide/ft_engineering/binning.html b/userguide/ft_engineering/binning.html
new file mode 100644
index 0000000..cbeac68
--- /dev/null
+++ b/userguide/ft_engineering/binning.html
@@ -0,0 +1,2379 @@
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+<html lang="" >
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+ <title>Feature Binning · Hivemall User Manual</title>
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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="tfidf.html" />
+
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+ <link rel="prev" href="selection.html" />
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+ </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 active" 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="tfidf.html">
+
+ <a href="tfidf.html">
+
+
+ <b>3.5.</b>
+
+ TF-IDF Calculation
+
+ </a>
+
+
+
+ </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="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 - Binary classification</li>
+
+
+
+ <li class="chapter " data-level="5.1" data-path="../binaryclass/a9a.html">
+
+ <a href="../binaryclass/a9a.html">
+
+
+ <b>5.1.</b>
+
+ a9a Tutorial
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="5.1.1" data-path="../binaryclass/a9a_dataset.html">
+
+ <a href="../binaryclass/a9a_dataset.html">
+
+
+ <b>5.1.1.</b>
+
+ Data preparation
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="5.1.2" data-path="../binaryclass/a9a_lr.html">
+
+ <a href="../binaryclass/a9a_lr.html">
+
+
+ <b>5.1.2.</b>
+
+ Logistic Regression
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="5.1.3" data-path="../binaryclass/a9a_minibatch.html">
+
+ <a href="../binaryclass/a9a_minibatch.html">
+
+
+ <b>5.1.3.</b>
+
+ Mini-batch Gradient Descent
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+ <li class="chapter " data-level="5.2" data-path="../binaryclass/news20.html">
+
+ <a href="../binaryclass/news20.html">
+
+
+ <b>5.2.</b>
+
+ News20 Tutorial
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="5.2.1" data-path="../binaryclass/news20_dataset.html">
+
+ <a href="../binaryclass/news20_dataset.html">
+
+
+ <b>5.2.1.</b>
+
+ Data preparation
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="5.2.2" data-path="../binaryclass/news20_pa.html">
+
+ <a href="../binaryclass/news20_pa.html">
+
+
+ <b>5.2.2.</b>
+
+ Perceptron, Passive Aggressive
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="5.2.3" data-path="../binaryclass/news20_scw.html">
+
+ <a href="../binaryclass/news20_scw.html">
+
+
+ <b>5.2.3.</b>
+
+ CW, AROW, SCW
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="5.2.4" data-path="../binaryclass/news20_adagrad.html">
+
+ <a href="../binaryclass/news20_adagrad.html">
+
+
+ <b>5.2.4.</b>
+
+ AdaGradRDA, AdaGrad, AdaDelta
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+ <li class="chapter " data-level="5.3" data-path="../binaryclass/kdd2010a.html">
+
+ <a href="../binaryclass/kdd2010a.html">
+
+
+ <b>5.3.</b>
+
+ KDD2010a Tutorial
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="5.3.1" data-path="../binaryclass/kdd2010a_dataset.html">
+
+ <a href="../binaryclass/kdd2010a_dataset.html">
+
+
+ <b>5.3.1.</b>
+
+ Data preparation
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="5.3.2" data-path="../binaryclass/kdd2010a_scw.html">
+
+ <a href="../binaryclass/kdd2010a_scw.html">
+
+
+ <b>5.3.2.</b>
+
+ PA, CW, AROW, SCW
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+ <li class="chapter " data-level="5.4" data-path="../binaryclass/kdd2010b.html">
+
+ <a href="../binaryclass/kdd2010b.html">
+
+
+ <b>5.4.</b>
+
+ KDD2010b Tutorial
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="5.4.1" data-path="../binaryclass/kdd2010b_dataset.html">
+
+ <a href="../binaryclass/kdd2010b_dataset.html">
+
+
+ <b>5.4.1.</b>
+
+ Data preparation
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="5.4.2" data-path="../binaryclass/kdd2010b_arow.html">
+
+ <a href="../binaryclass/kdd2010b_arow.html">
+
+
+ <b>5.4.2.</b>
+
+ AROW
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+ <li class="chapter " data-level="5.5" data-path="../binaryclass/webspam.html">
+
+ <a href="../binaryclass/webspam.html">
+
+
+ <b>5.5.</b>
+
+ Webspam Tutorial
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="5.5.1" data-path="../binaryclass/webspam_dataset.html">
+
+ <a href="../binaryclass/webspam_dataset.html">
+
+
+ <b>5.5.1.</b>
+
+ Data pareparation
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="5.5.2" data-path="../binaryclass/webspam_scw.html">
+
+ <a href="../binaryclass/webspam_scw.html">
+
+
+ <b>5.5.2.</b>
+
+ PA1, AROW, SCW
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+ <li class="chapter " data-level="5.6" data-path="../binaryclass/titanic_rf.html">
+
+ <a href="../binaryclass/titanic_rf.html">
+
+
+ <b>5.6.</b>
+
+ Kaggle Titanic Tutorial
+
+ </a>
+
+
+
+ </li>
+
+
+
+
+ <li class="header">Part VI - Multiclass classification</li>
+
+
+
+ <li class="chapter " data-level="6.1" data-path="../multiclass/news20.html">
+
+ <a href="../multiclass/news20.html">
+
+
+ <b>6.1.</b>
+
+ News20 Multiclass Tutorial
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="6.1.1" data-path="../multiclass/news20_dataset.html">
+
+ <a href="../multiclass/news20_dataset.html">
+
+
+ <b>6.1.1.</b>
+
+ Data preparation
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="6.1.2" data-path="../multiclass/news20_one-vs-the-rest_dataset.html">
+
+ <a href="../multiclass/news20_one-vs-the-rest_dataset.html">
+
+
+ <b>6.1.2.</b>
+
+ Data preparation for one-vs-the-rest classifiers
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="6.1.3" data-path="../multiclass/news20_pa.html">
+
+ <a href="../multiclass/news20_pa.html">
+
+
+ <b>6.1.3.</b>
+
+ PA
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="6.1.4" data-path="../multiclass/news20_scw.html">
+
+ <a href="../multiclass/news20_scw.html">
+
+
+ <b>6.1.4.</b>
+
+ CW, AROW, SCW
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="6.1.5" data-path="../multiclass/news20_ensemble.html">
+
+ <a href="../multiclass/news20_ensemble.html">
+
+
+ <b>6.1.5.</b>
+
+ Ensemble learning
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="6.1.6" data-path="../multiclass/news20_one-vs-the-rest.html">
+
+ <a href="../multiclass/news20_one-vs-the-rest.html">
+
+
+ <b>6.1.6.</b>
+
+ one-vs-the-rest classifier
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+ <li class="chapter " data-level="6.2" data-path="../multiclass/iris.html">
+
+ <a href="../multiclass/iris.html">
+
+
+ <b>6.2.</b>
+
+ Iris Tutorial
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="6.2.1" data-path="../multiclass/iris_dataset.html">
+
+ <a href="../multiclass/iris_dataset.html">
+
+
+ <b>6.2.1.</b>
+
+ Data preparation
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="6.2.2" data-path="../multiclass/iris_scw.html">
+
+ <a href="../multiclass/iris_scw.html">
+
+
+ <b>6.2.2.</b>
+
+ SCW
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="6.2.3" data-path="../multiclass/iris_randomforest.html">
+
+ <a href="../multiclass/iris_randomforest.html">
+
+
+ <b>6.2.3.</b>
+
+ RandomForest
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+
+
+
+ <li class="header">Part VII - Regression</li>
+
+
+
+ <li class="chapter " data-level="7.1" data-path="../regression/e2006.html">
+
+ <a href="../regression/e2006.html">
+
+
+ <b>7.1.</b>
+
+ E2006-tfidf regression Tutorial
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="7.1.1" data-path="../regression/e2006_dataset.html">
+
+ <a href="../regression/e2006_dataset.html">
+
+
+ <b>7.1.1.</b>
+
+ Data preparation
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="7.1.2" data-path="../regression/e2006_arow.html">
+
+ <a href="../regression/e2006_arow.html">
+
+
+ <b>7.1.2.</b>
+
+ Passive Aggressive, AROW
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+ <li class="chapter " data-level="7.2" data-path="../regression/kddcup12tr2.html">
+
+ <a href="../regression/kddcup12tr2.html">
+
+
+ <b>7.2.</b>
+
+ KDDCup 2012 track 2 CTR prediction Tutorial
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="7.2.1" data-path="../regression/kddcup12tr2_dataset.html">
+
+ <a href="../regression/kddcup12tr2_dataset.html">
+
+
+ <b>7.2.1.</b>
+
+ Data preparation
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="7.2.2" data-path="../regression/kddcup12tr2_lr.html">
+
+ <a href="../regression/kddcup12tr2_lr.html">
+
+
+ <b>7.2.2.</b>
+
+ Logistic Regression, Passive Aggressive
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="7.2.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
+
+ <a href="../regression/kddcup12tr2_lr_amplify.html">
+
+
+ <b>7.2.3.</b>
+
+ Logistic Regression with Amplifier
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="7.2.4" data-path="../regression/kddcup12tr2_adagrad.html">
+
+ <a href="../regression/kddcup12tr2_adagrad.html">
+
+
+ <b>7.2.4.</b>
+
+ AdaGrad, AdaDelta
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+
+
+
+ <li class="header">Part VIII - Recommendation</li>
+
+
+
+ <li class="chapter " data-level="8.1" data-path="../recommend/cf.html">
+
+ <a href="../recommend/cf.html">
+
+
+ <b>8.1.</b>
+
+ Collaborative Filtering
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="8.1.1" data-path="../recommend/item_based_cf.html">
+
+ <a href="../recommend/item_based_cf.html">
+
+
+ <b>8.1.1.</b>
+
+ Item-based Collaborative Filtering
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+ <li class="chapter " data-level="8.2" data-path="../recommend/news20.html">
+
+ <a href="../recommend/news20.html">
+
+
+ <b>8.2.</b>
+
+ News20 related article recommendation Tutorial
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="8.2.1" data-path="../multiclass/news20_dataset.html">
+
+ <a href="../multiclass/news20_dataset.html">
+
+
+ <b>8.2.1.</b>
+
+ Data preparation
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="8.2.2" data-path="../recommend/news20_jaccard.html">
+
+ <a href="../recommend/news20_jaccard.html">
+
+
+ <b>8.2.2.</b>
+
+ LSH/Minhash and Jaccard Similarity
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="8.2.3" data-path="../recommend/news20_knn.html">
+
+ <a href="../recommend/news20_knn.html">
+
+
+ <b>8.2.3.</b>
+
+ LSH/Minhash and Brute-Force Search
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="8.2.4" data-path="../recommend/news20_bbit_minhash.html">
+
+ <a href="../recommend/news20_bbit_minhash.html">
+
+
+ <b>8.2.4.</b>
+
+ kNN search using b-Bits Minhash
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+ <li class="chapter " data-level="8.3" data-path="../recommend/movielens.html">
+
+ <a href="../recommend/movielens.html">
+
+
+ <b>8.3.</b>
+
+ MovieLens movie recommendation Tutorial
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="8.3.1" data-path="../recommend/movielens_dataset.html">
+
+ <a href="../recommend/movielens_dataset.html">
+
+
+ <b>8.3.1.</b>
+
+ Data preparation
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="8.3.2" data-path="../recommend/movielens_mf.html">
+
+ <a href="../recommend/movielens_mf.html">
+
+
+ <b>8.3.2.</b>
+
+ Matrix Factorization
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="8.3.3" data-path="../recommend/movielens_fm.html">
+
+ <a href="../recommend/movielens_fm.html">
+
+
+ <b>8.3.3.</b>
+
+ Factorization Machine
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="8.3.4" data-path="../recommend/movielens_cv.html">
+
+ <a href="../recommend/movielens_cv.html">
+
+
+ <b>8.3.4.</b>
+
+ 10-fold Cross Validation (Matrix Factorization)
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+
+
+
+ <li class="header">Part IX - Anomaly Detection</li>
+
+
+
+ <li class="chapter " data-level="9.1" data-path="../anomaly/lof.html">
+
+ <a href="../anomaly/lof.html">
+
+
+ <b>9.1.</b>
+
+ Outlier Detection using Local Outlier Factor (LOF)
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="9.2" data-path="../anomaly/sst.html">
+
+ <a href="../anomaly/sst.html">
+
+
+ <b>9.2.</b>
+
+ Change-Point Detection using Singular Spectrum Transformation (SST)
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="9.3" data-path="../anomaly/changefinder.html">
+
+ <a href="../anomaly/changefinder.html">
+
+
+ <b>9.3.</b>
+
+ ChangeFinder: Detecting Outlier and Change-Point Simultaneously
+
+ </a>
+
+
+
+ </li>
+
+
+
+
+ <li class="header">Part X - Clustering</li>
+
+
+
+ <li class="chapter " data-level="10.1" data-path="../clustering/lda.html">
+
+ <a href="../clustering/lda.html">
+
+
+ <b>10.1.</b>
+
+ Latent Dirichlet Allocation
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="10.2" data-path="../clustering/plsa.html">
+
+ <a href="../clustering/plsa.html">
+
+
+ <b>10.2.</b>
+
+ Probabilistic Latent Semantic Analysis
+
+ </a>
+
+
+
+ </li>
+
+
+
+
+ <li class="header">Part XI - GeoSpatial functions</li>
+
+
+
+ <li class="chapter " data-level="11.1" data-path="../geospatial/latlon.html">
+
+ <a href="../geospatial/latlon.html">
+
+
+ <b>11.1.</b>
+
+ Lat/Lon functions
+
+ </a>
+
+
+
+ </li>
+
+
+
+
+ <li class="header">Part XII - Hivemall on Spark</li>
+
+
+
+ <li class="chapter " data-level="12.1" data-path="../spark/getting_started/">
+
+ <a href="../spark/getting_started/">
+
+
+ <b>12.1.</b>
+
+ Getting Started
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="12.1.1" data-path="../spark/getting_started/installation.html">
+
+ <a href="../spark/getting_started/installation.html">
+
+
+ <b>12.1.1.</b>
+
+ Installation
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+ <li class="chapter " data-level="12.2" data-path="../spark/binaryclass/">
+
+ <a href="../spark/binaryclass/">
+
+
+ <b>12.2.</b>
+
+ Binary Classification
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="12.2.1" data-path="../spark/binaryclass/a9a_df.html">
+
+ <a href="../spark/binaryclass/a9a_df.html">
+
+
+ <b>12.2.1.</b>
+
+ a9a Tutorial for DataFrame
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+ <li class="chapter " data-level="12.3" data-path="../spark/binaryclass/">
+
+ <a href="../spark/binaryclass/">
+
+
+ <b>12.3.</b>
+
+ Regression
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="12.3.1" data-path="../spark/regression/e2006_df.html">
+
+ <a href="../spark/regression/e2006_df.html">
+
+
+ <b>12.3.1.</b>
+
+ E2006-tfidf regression Tutorial for DataFrame
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+ <li class="chapter " data-level="12.4" data-path="../spark/misc/misc.html">
+
+ <a href="../spark/misc/misc.html">
+
+
+ <b>12.4.</b>
+
+ Generic features
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="12.4.1" data-path="../spark/misc/topk_join.html">
+
+ <a href="../spark/misc/topk_join.html">
+
+
+ <b>12.4.1.</b>
+
+ Top-k Join processing
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="12.4.2" data-path="../spark/misc/functions.html">
+
+ <a href="../spark/misc/functions.html">
+
+
+ <b>12.4.2.</b>
+
+ Other utility functions
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+
+
+
+ <li class="header">Part XIII - Hivemall on Docker</li>
+
+
+
+ <li class="chapter " data-level="13.1" data-path="../docker/getting_started.html">
+
+ <a href="../docker/getting_started.html">
+
+
+ <b>13.1.</b>
+
+ Getting Started
+
+ </a>
+
+
+
+ </li>
+
+
+
+
+ <li class="header">Part XIV - External References</li>
+
+
+
+ <li class="chapter " data-level="14.1" >
+
+ <a target="_blank" href="https://github.com/maropu/hivemall-spark">
+
+
+ <b>14.1.</b>
+
+ Hivemall on Apache Spark
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="14.2" >
+
+ <a target="_blank" href="https://github.com/daijyc/hivemall/wiki/PigHome">
+
+
+ <b>14.2.</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 Binning</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.
+-->
+<p>Feature binning is a method of dividing quantitative variables into categorical values.
+It groups quantitative values into a pre-defined number of bins.</p>
+<p><em>Note: This feature is supported from Hivemall v0.5-rc.1 or later.</em></p>
+<!-- toc --><div id="toc" class="toc">
+
+<ul>
+<li><a href="#usage">Usage</a><ul>
+<li><a href="#a-feature-vector-trasformation-by-applying-feature-binning">A. Feature Vector trasformation by applying Feature Binning</a></li>
+<li><a href="#b-get-a-mapping-table-by-feature-binning">B. Get a mapping table by Feature Binning</a></li>
+</ul>
+</li>
+<li><a href="#function-signature">Function Signature</a><ul>
+<li><a href="#udaf-buildbinsweight-numofbins-autoshrink">[UDAF] <code>build_bins(weight, num_of_bins[, auto_shrink])</code></a><ul>
+<li><a href="#input">Input</a></li>
+<li><a href="#output">Output</a></li>
+</ul>
+</li>
+<li><a href="#udf-featurebinningfeatures-quantilesmapweight-quantiles">[UDF] <code>feature_binning(features, quantiles_map)/(weight, quantiles)</code></a><ul>
+<li><a href="#variation-a">Variation: A</a></li>
+<li><a href="#variation-b">Variation: B</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+
+</div><!-- tocstop -->
+<h1 id="usage">Usage</h1>
+<p>Prepare sample data (<em>users</em> table) first as follows:</p>
+<pre><code class="lang-sql"><span class="hljs-keyword">CREATE</span> <span class="hljs-keyword">TABLE</span> <span class="hljs-keyword">users</span> (
+ <span class="hljs-keyword">name</span> <span class="hljs-keyword">string</span>, age <span class="hljs-built_in">int</span>, gender <span class="hljs-keyword">string</span>
+);
+
+<span class="hljs-keyword">INSERT</span> <span class="hljs-keyword">INTO</span> <span class="hljs-keyword">users</span> <span class="hljs-keyword">VALUES</span>
+ (<span class="hljs-string">'Jacob'</span>, <span class="hljs-number">20</span>, <span class="hljs-string">'Male'</span>),
+ (<span class="hljs-string">'Mason'</span>, <span class="hljs-number">22</span>, <span class="hljs-string">'Male'</span>),
+ (<span class="hljs-string">'Sophia'</span>, <span class="hljs-number">35</span>, <span class="hljs-string">'Female'</span>),
+ (<span class="hljs-string">'Ethan'</span>, <span class="hljs-number">55</span>, <span class="hljs-string">'Male'</span>),
+ (<span class="hljs-string">'Emma'</span>, <span class="hljs-number">15</span>, <span class="hljs-string">'Female'</span>),
+ (<span class="hljs-string">'Noah'</span>, <span class="hljs-number">46</span>, <span class="hljs-string">'Male'</span>),
+ (<span class="hljs-string">'Isabella'</span>, <span class="hljs-number">20</span>, <span class="hljs-string">'Female'</span>);
+</code></pre>
+<h2 id="a-feature-vector-trasformation-by-applying-feature-binning">A. Feature Vector trasformation by applying Feature Binning</h2>
+<pre><code class="lang-sql">WITH t AS (
+ <span class="hljs-keyword">SELECT</span>
+ array_concat(
+ categorical_features(
+ <span class="hljs-built_in">array</span>(<span class="hljs-string">'name'</span>, <span class="hljs-string">'gender'</span>),
+ <span class="hljs-keyword">name</span>, gender
+ ),
+ quantitative_features(
+ <span class="hljs-built_in">array</span>(<span class="hljs-string">'age'</span>),
+ age
+ )
+ ) <span class="hljs-keyword">AS</span> features
+ <span class="hljs-keyword">FROM</span>
+ <span class="hljs-keyword">users</span>
+),
+bins <span class="hljs-keyword">AS</span> (
+ <span class="hljs-keyword">SELECT</span>
+ <span class="hljs-keyword">map</span>(<span class="hljs-string">'age'</span>, build_bins(age, <span class="hljs-number">3</span>)) <span class="hljs-keyword">AS</span> quantiles_map
+ <span class="hljs-keyword">FROM</span>
+ <span class="hljs-keyword">users</span>
+)
+<span class="hljs-keyword">SELECT</span>
+ feature_binning(features, quantiles_map) <span class="hljs-keyword">AS</span> features
+<span class="hljs-keyword">FROM</span>
+ t <span class="hljs-keyword">CROSS</span> <span class="hljs-keyword">JOIN</span> bins;
+</code></pre>
+<p><em>Result</em></p>
+<table>
+<thead>
+<tr>
+<th style="text-align:center">features: <code>array<features::string></code></th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td style="text-align:center">["name#Jacob","gender#Male","age:1"]</td>
+</tr>
+<tr>
+<td style="text-align:center">["name#Mason","gender#Male","age:1"]</td>
+</tr>
+<tr>
+<td style="text-align:center">["name#Sophia","gender#Female","age:2"]</td>
+</tr>
+<tr>
+<td style="text-align:center">["name#Ethan","gender#Male","age:2"]</td>
+</tr>
+<tr>
+<td style="text-align:center">["name#Emma","gender#Female","age:0"]</td>
+</tr>
+<tr>
+<td style="text-align:center">["name#Noah","gender#Male","age:2"]</td>
+</tr>
+<tr>
+<td style="text-align:center">["name#Isabella","gender#Female","age:1"]</td>
+</tr>
+</tbody>
+</table>
+<h2 id="b-get-a-mapping-table-by-feature-binning">B. Get a mapping table by Feature Binning</h2>
+<pre><code class="lang-sql">WITH bins AS (
+ <span class="hljs-keyword">SELECT</span> build_bins(age, <span class="hljs-number">3</span>) <span class="hljs-keyword">AS</span> quantiles
+ <span class="hljs-keyword">FROM</span> <span class="hljs-keyword">users</span>
+)
+<span class="hljs-keyword">SELECT</span>
+ age, feature_binning(age, quantiles) <span class="hljs-keyword">AS</span> <span class="hljs-keyword">bin</span>
+<span class="hljs-keyword">FROM</span>
+ <span class="hljs-keyword">users</span> <span class="hljs-keyword">CROSS</span> <span class="hljs-keyword">JOIN</span> bins;
+</code></pre>
+<p><em>Result</em></p>
+<table>
+<thead>
+<tr>
+<th style="text-align:center">age:<code>int</code></th>
+<th style="text-align:center">bin: <code>int</code></th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td style="text-align:center">20</td>
+<td style="text-align:center">1</td>
+</tr>
+<tr>
+<td style="text-align:center">22</td>
+<td style="text-align:center">1</td>
+</tr>
+<tr>
+<td style="text-align:center">35</td>
+<td style="text-align:center">2</td>
+</tr>
+<tr>
+<td style="text-align:center">55</td>
+<td style="text-align:center">2</td>
+</tr>
+<tr>
+<td style="text-align:center">15</td>
+<td style="text-align:center">0</td>
+</tr>
+<tr>
+<td style="text-align:center">46</td>
+<td style="text-align:center">2</td>
+</tr>
+<tr>
+<td style="text-align:center">20</td>
+<td style="text-align:center">1</td>
+</tr>
+</tbody>
+</table>
+<h1 id="function-signature">Function Signature</h1>
+<h2 id="udaf-buildbinsweight-numofbins-autoshrink">[UDAF] <code>build_bins(weight, num_of_bins[, auto_shrink])</code></h2>
+<h3 id="input">Input</h3>
+<table>
+<thead>
+<tr>
+<th style="text-align:center">weight: int|bigint|float|double</th>
+<th style="text-align:center">num_of_bins: <code>int</code></th>
+<th style="text-align:center">[auto_shrink: <code>boolean</code> = false]</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td style="text-align:center">weight</td>
+<td style="text-align:center">2 <=</td>
+<td style="text-align:center">behavior when separations are repeated: T=>skip, F=>exception</td>
+</tr>
+</tbody>
+</table>
+<h3 id="output">Output</h3>
+<table>
+<thead>
+<tr>
+<th style="text-align:center">quantiles: <code>array<double></code></th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td style="text-align:center">array of separation value</td>
+</tr>
+</tbody>
+</table>
+<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>There is the possibility quantiles are repeated because of too many <code>num_of_bins</code> or too few data.
+If <code>auto_shrink</code> is true, skip duplicated quantiles. If not, throw an exception.</p></div></div>
+<h2 id="udf-featurebinningfeatures-quantilesmapweight-quantiles">[UDF] <code>feature_binning(features, quantiles_map)/(weight, quantiles)</code></h2>
+<h3 id="variation-a">Variation: A</h3>
+<h4 id="input">Input</h4>
+<table>
+<thead>
+<tr>
+<th style="text-align:center">features: <code>array<features::string></code></th>
+<th style="text-align:center">quantiles_map: <code>map<string, array<double>></code></th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td style="text-align:center">serialized feature</td>
+<td style="text-align:center">entry:: key: col name, val: quantiles</td>
+</tr>
+</tbody>
+</table>
+<h4 id="output">Output</h4>
+<table>
+<thead>
+<tr>
+<th style="text-align:center">features: <code>array<feature::string></code></th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td style="text-align:center">serialized and binned features</td>
+</tr>
+</tbody>
+</table>
+<h3 id="variation-b">Variation: B</h3>
+<h4 id="input">Input</h4>
+<table>
+<thead>
+<tr>
+<th style="text-align:center">weight: int|bigint|float|double</th>
+<th style="text-align:center">quantiles: <code>array<double></code></th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td style="text-align:center">weight</td>
+<td style="text-align:center">array of separation value</td>
+</tr>
+</tbody>
+</table>
+<h4 id="output">Output</h4>
+<table>
+<thead>
+<tr>
+<th style="text-align:center">bin: <code>int</code></th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td style="text-align:center">categorical value (bin ID)</td>
+</tr>
+</tbody>
+</table>
+<p><div id="page-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>
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+
+
+
+ </div>
+
+ <script>
+ var gitbook = gitbook || [];
+ gitbook.push(function() {
+ gitbook.page.hasChanged({"page":{"title":"Feature Binning","level":"3.4","depth":1,"next":{"title":"TF-IDF Calculation","level":"3.5","depth":1,"path":"ft_engineering/tfidf.md","ref":"ft_engineering/tfidf.md","articles":[]},"previous":{"title":"Feature Selection","level":"3.3","depth":1,"path":"ft_engineering/selection.md","ref":"ft_engineering/selection.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":{"header":1,"maxdepth":3,"mindepth":1,"notoc":true},"github":{"url":"https://github.com/apache/incubator-hivemall/"},"splitter":{},"sear
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+
[16/19] incubator-hivemall-site git commit: Added feature binning
documentation
Posted by my...@apache.org.
http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/15b9991a/userguide/docker/getting_started.html
----------------------------------------------------------------------
diff --git a/userguide/docker/getting_started.html b/userguide/docker/getting_started.html
index 3dd4583..9e59a7f 100644
--- a/userguide/docker/getting_started.html
+++ b/userguide/docker/getting_started.html
@@ -566,14 +566,14 @@
</li>
- <li class="chapter " data-level="3.3" data-path="../ft_engineering/tfidf.html">
+ <li class="chapter " data-level="3.3" data-path="../ft_engineering/selection.html">
- <a href="../ft_engineering/tfidf.html">
+ <a href="../ft_engineering/selection.html">
<b>3.3.</b>
- TF-IDF calculation
+ Feature Selection
</a>
@@ -581,30 +581,29 @@
</li>
- <li class="chapter " data-level="3.4" data-path="../ft_engineering/ft_trans.html">
+ <li class="chapter " data-level="3.4" data-path="../ft_engineering/binning.html">
- <a href="../ft_engineering/ft_trans.html">
+ <a href="../ft_engineering/binning.html">
<b>3.4.</b>
- FEATURE TRANSFORMATION
+ Feature Binning
</a>
- <ul class="articles">
-
+ </li>
- <li class="chapter " data-level="3.4.1" data-path="../ft_engineering/vectorizer.html">
+ <li class="chapter " data-level="3.5" data-path="../ft_engineering/tfidf.html">
- <a href="../ft_engineering/vectorizer.html">
+ <a href="../ft_engineering/tfidf.html">
- <b>3.4.1.</b>
+ <b>3.5.</b>
- Vectorize Features
+ TF-IDF Calculation
</a>
@@ -612,34 +611,45 @@
</li>
- <li class="chapter " data-level="3.4.2" data-path="../ft_engineering/quantify.html">
+ <li class="chapter " data-level="3.6" data-path="../ft_engineering/ft_trans.html">
- <a href="../ft_engineering/quantify.html">
+ <a href="../ft_engineering/ft_trans.html">
- <b>3.4.2.</b>
+ <b>3.6.</b>
- Quantify non-number features
+ FEATURE TRANSFORMATION
</a>
- </li>
+ <ul class="articles">
+
+ <li class="chapter " data-level="3.6.1" data-path="../ft_engineering/vectorization.html">
+
+ <a href="../ft_engineering/vectorization.html">
+
+
+ <b>3.6.1.</b>
+
+ Feature Vectorization
+
+ </a>
+
- </ul>
</li>
- <li class="chapter " data-level="3.5" data-path="../ft_engineering/feature_selection.html">
+ <li class="chapter " data-level="3.6.2" data-path="../ft_engineering/quantify.html">
- <a href="../ft_engineering/feature_selection.html">
+ <a href="../ft_engineering/quantify.html">
- <b>3.5.</b>
+ <b>3.6.2.</b>
- Feature selection
+ Quantify non-number features
</a>
@@ -648,6 +658,11 @@
</li>
+ </ul>
+
+ </li>
+
+
<li class="header">Part IV - Evaluation</li>
@@ -1997,7 +2012,7 @@
<li><a href="#requirements">Requirements</a></li>
<li><a href="#1-build-image">1. Build image</a><ul>
<li><a href="#build-using-docker-compose">Build using docker-compose</a></li>
-<li><a href="#build-using-docker-engine">Build using docker engine</a></li>
+<li><a href="#build-using-docker-command">Build using docker command</a></li>
</ul>
</li>
<li><a href="#2-run-container">2. Run container</a><ul>
@@ -2022,8 +2037,8 @@
<h1 id="1-build-image">1. Build image</h1>
<h2 id="build-using-docker-compose">Build using docker-compose</h2>
<p> <code>docker-compose -f resources/docker/docker-compose.yml build</code></p>
-<h2 id="build-using-docker-engine">Build using docker engine</h2>
-<p> <code>docker build -f resources/docker/Dockerfile</code></p>
+<h2 id="build-using-docker-command">Build using docker command</h2>
+<p> <code>docker build -f resources/docker/Dockerfile .</code></p>
<h1 id="2-run-container">2. Run container</h1>
<h2 id="run-by-docker-compose">Run by docker-compose</h2>
<ol>
@@ -2038,7 +2053,7 @@ Refer <a href="https://docs.docker.com/engine/reference/run/" target="_blank">Do
</ol>
<h1 id="3-run-hivemall-on-docker">3. Run Hivemall on Docker</h1>
<ol>
-<li>type <code>hive</code> to run (see <code>.hiverc</code> loads Hivemall functions)</li>
+<li>Type <code>hive</code> to run (<code>.hiverc</code> automatically loads Hivemall functions)</li>
<li>Try your Hivemall queries!</li>
</ol>
<h2 id="load-data-into-hdfs-optional">Load data into HDFS (optional)</h2>
@@ -2102,7 +2117,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
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[09/19] incubator-hivemall-site git commit: Added feature binning
documentation
Posted by my...@apache.org.
http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/15b9991a/userguide/getting_started/input-format.html
----------------------------------------------------------------------
diff --git a/userguide/getting_started/input-format.html b/userguide/getting_started/input-format.html
index 992fc7b..f1f92ea 100644
--- a/userguide/getting_started/input-format.html
+++ b/userguide/getting_started/input-format.html
@@ -568,14 +568,14 @@
</li>
- <li class="chapter " data-level="3.3" data-path="../ft_engineering/tfidf.html">
+ <li class="chapter " data-level="3.3" data-path="../ft_engineering/selection.html">
- <a href="../ft_engineering/tfidf.html">
+ <a href="../ft_engineering/selection.html">
<b>3.3.</b>
- TF-IDF calculation
+ Feature Selection
</a>
@@ -583,30 +583,29 @@
</li>
- <li class="chapter " data-level="3.4" data-path="../ft_engineering/ft_trans.html">
+ <li class="chapter " data-level="3.4" data-path="../ft_engineering/binning.html">
- <a href="../ft_engineering/ft_trans.html">
+ <a href="../ft_engineering/binning.html">
<b>3.4.</b>
- FEATURE TRANSFORMATION
+ Feature Binning
</a>
- <ul class="articles">
-
+ </li>
- <li class="chapter " data-level="3.4.1" data-path="../ft_engineering/vectorizer.html">
+ <li class="chapter " data-level="3.5" data-path="../ft_engineering/tfidf.html">
- <a href="../ft_engineering/vectorizer.html">
+ <a href="../ft_engineering/tfidf.html">
- <b>3.4.1.</b>
+ <b>3.5.</b>
- Vectorize Features
+ TF-IDF Calculation
</a>
@@ -614,34 +613,45 @@
</li>
- <li class="chapter " data-level="3.4.2" data-path="../ft_engineering/quantify.html">
+ <li class="chapter " data-level="3.6" data-path="../ft_engineering/ft_trans.html">
- <a href="../ft_engineering/quantify.html">
+ <a href="../ft_engineering/ft_trans.html">
- <b>3.4.2.</b>
+ <b>3.6.</b>
- Quantify non-number features
+ FEATURE TRANSFORMATION
</a>
- </li>
+ <ul class="articles">
+
+ <li class="chapter " data-level="3.6.1" data-path="../ft_engineering/vectorization.html">
+
+ <a href="../ft_engineering/vectorization.html">
+
+
+ <b>3.6.1.</b>
+
+ Feature Vectorization
+
+ </a>
+
- </ul>
</li>
- <li class="chapter " data-level="3.5" data-path="../ft_engineering/feature_selection.html">
+ <li class="chapter " data-level="3.6.2" data-path="../ft_engineering/quantify.html">
- <a href="../ft_engineering/feature_selection.html">
+ <a href="../ft_engineering/quantify.html">
- <b>3.5.</b>
+ <b>3.6.2.</b>
- Feature selection
+ Quantify non-number features
</a>
@@ -650,6 +660,11 @@
</li>
+ </ul>
+
+ </li>
+
+
<li class="header">Part IV - Evaluation</li>
@@ -2213,7 +2228,7 @@ 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/15b9991a/userguide/getting_started/installation.html
----------------------------------------------------------------------
diff --git a/userguide/getting_started/installation.html b/userguide/getting_started/installation.html
index 6600365..1f73234 100644
--- a/userguide/getting_started/installation.html
+++ b/userguide/getting_started/installation.html
@@ -568,14 +568,14 @@
</li>
- <li class="chapter " data-level="3.3" data-path="../ft_engineering/tfidf.html">
+ <li class="chapter " data-level="3.3" data-path="../ft_engineering/selection.html">
- <a href="../ft_engineering/tfidf.html">
+ <a href="../ft_engineering/selection.html">
<b>3.3.</b>
- TF-IDF calculation
+ Feature Selection
</a>
@@ -583,30 +583,29 @@
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- <a href="../ft_engineering/ft_trans.html">
+ <a href="../ft_engineering/binning.html">
<b>3.4.</b>
- FEATURE TRANSFORMATION
+ Feature Binning
</a>
- <ul class="articles">
-
+ </li>
- <li class="chapter " data-level="3.4.1" data-path="../ft_engineering/vectorizer.html">
+ <li class="chapter " data-level="3.5" data-path="../ft_engineering/tfidf.html">
- <a href="../ft_engineering/vectorizer.html">
+ <a href="../ft_engineering/tfidf.html">
- <b>3.4.1.</b>
+ <b>3.5.</b>
- Vectorize Features
+ TF-IDF Calculation
</a>
@@ -614,34 +613,45 @@
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- <li class="chapter " data-level="3.4.2" data-path="../ft_engineering/quantify.html">
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- <a href="../ft_engineering/quantify.html">
+ <a href="../ft_engineering/ft_trans.html">
- <b>3.4.2.</b>
+ <b>3.6.</b>
- Quantify non-number features
+ FEATURE TRANSFORMATION
</a>
- </li>
+ <ul class="articles">
+
+ <li class="chapter " data-level="3.6.1" data-path="../ft_engineering/vectorization.html">
+
+ <a href="../ft_engineering/vectorization.html">
+
+
+ <b>3.6.1.</b>
+
+ Feature Vectorization
+
+ </a>
+
- </ul>
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- <li class="chapter " data-level="3.5" data-path="../ft_engineering/feature_selection.html">
+ <li class="chapter " data-level="3.6.2" data-path="../ft_engineering/quantify.html">
- <a href="../ft_engineering/feature_selection.html">
+ <a href="../ft_engineering/quantify.html">
- <b>3.5.</b>
+ <b>3.6.2.</b>
- Feature selection
+ Quantify non-number features
</a>
@@ -650,6 +660,11 @@
</li>
+ </ul>
+
+ </li>
+
+
<li class="header">Part IV - Evaluation</li>
@@ -2076,7 +2091,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
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</li>
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@@ -583,30 +583,29 @@
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- <li class="chapter " data-level="3.4" data-path="../ft_engineering/ft_trans.html">
+ <li class="chapter " data-level="3.4" data-path="../ft_engineering/binning.html">
- <a href="../ft_engineering/ft_trans.html">
+ <a href="../ft_engineering/binning.html">
<b>3.4.</b>
- FEATURE TRANSFORMATION
+ Feature Binning
</a>
- <ul class="articles">
-
+ </li>
- <li class="chapter " data-level="3.4.1" data-path="../ft_engineering/vectorizer.html">
+ <li class="chapter " data-level="3.5" data-path="../ft_engineering/tfidf.html">
- <a href="../ft_engineering/vectorizer.html">
+ <a href="../ft_engineering/tfidf.html">
- <b>3.4.1.</b>
+ <b>3.5.</b>
- Vectorize Features
+ TF-IDF Calculation
</a>
@@ -614,34 +613,45 @@
</li>
- <li class="chapter " data-level="3.4.2" data-path="../ft_engineering/quantify.html">
+ <li class="chapter " data-level="3.6" data-path="../ft_engineering/ft_trans.html">
- <a href="../ft_engineering/quantify.html">
+ <a href="../ft_engineering/ft_trans.html">
- <b>3.4.2.</b>
+ <b>3.6.</b>
- Quantify non-number features
+ FEATURE TRANSFORMATION
</a>
- </li>
+ <ul class="articles">
+
+ <li class="chapter " data-level="3.6.1" data-path="../ft_engineering/vectorization.html">
+
+ <a href="../ft_engineering/vectorization.html">
+
+
+ <b>3.6.1.</b>
+
+ Feature Vectorization
+
+ </a>
+
- </ul>
</li>
- <li class="chapter " data-level="3.5" data-path="../ft_engineering/feature_selection.html">
+ <li class="chapter " data-level="3.6.2" data-path="../ft_engineering/quantify.html">
- <a href="../ft_engineering/feature_selection.html">
+ <a href="../ft_engineering/quantify.html">
- <b>3.5.</b>
+ <b>3.6.2.</b>
- Feature selection
+ Quantify non-number features
</a>
@@ -650,6 +660,11 @@
</li>
+ </ul>
+
+ </li>
+
+
<li class="header">Part IV - Evaluation</li>
@@ -2047,7 +2062,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
<script>
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[08/19] incubator-hivemall-site git commit: Added feature binning
documentation
Posted by my...@apache.org.
http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/15b9991a/userguide/multiclass/iris_dataset.html
----------------------------------------------------------------------
diff --git a/userguide/multiclass/iris_dataset.html b/userguide/multiclass/iris_dataset.html
index 00c1d5e..d34213b 100644
--- a/userguide/multiclass/iris_dataset.html
+++ b/userguide/multiclass/iris_dataset.html
@@ -568,14 +568,14 @@
</li>
- <li class="chapter " data-level="3.3" data-path="../ft_engineering/tfidf.html">
+ <li class="chapter " data-level="3.3" data-path="../ft_engineering/selection.html">
- <a href="../ft_engineering/tfidf.html">
+ <a href="../ft_engineering/selection.html">
<b>3.3.</b>
- TF-IDF calculation
+ Feature Selection
</a>
@@ -583,30 +583,29 @@
</li>
- <li class="chapter " data-level="3.4" data-path="../ft_engineering/ft_trans.html">
+ <li class="chapter " data-level="3.4" data-path="../ft_engineering/binning.html">
- <a href="../ft_engineering/ft_trans.html">
+ <a href="../ft_engineering/binning.html">
<b>3.4.</b>
- FEATURE TRANSFORMATION
+ Feature Binning
</a>
- <ul class="articles">
-
+ </li>
- <li class="chapter " data-level="3.4.1" data-path="../ft_engineering/vectorizer.html">
+ <li class="chapter " data-level="3.5" data-path="../ft_engineering/tfidf.html">
- <a href="../ft_engineering/vectorizer.html">
+ <a href="../ft_engineering/tfidf.html">
- <b>3.4.1.</b>
+ <b>3.5.</b>
- Vectorize Features
+ TF-IDF Calculation
</a>
@@ -614,34 +613,45 @@
</li>
- <li class="chapter " data-level="3.4.2" data-path="../ft_engineering/quantify.html">
+ <li class="chapter " data-level="3.6" data-path="../ft_engineering/ft_trans.html">
- <a href="../ft_engineering/quantify.html">
+ <a href="../ft_engineering/ft_trans.html">
- <b>3.4.2.</b>
+ <b>3.6.</b>
- Quantify non-number features
+ FEATURE TRANSFORMATION
</a>
- </li>
+ <ul class="articles">
+
+ <li class="chapter " data-level="3.6.1" data-path="../ft_engineering/vectorization.html">
+
+ <a href="../ft_engineering/vectorization.html">
+
+
+ <b>3.6.1.</b>
+
+ Feature Vectorization
+
+ </a>
+
- </ul>
</li>
- <li class="chapter " data-level="3.5" data-path="../ft_engineering/feature_selection.html">
+ <li class="chapter " data-level="3.6.2" data-path="../ft_engineering/quantify.html">
- <a href="../ft_engineering/feature_selection.html">
+ <a href="../ft_engineering/quantify.html">
- <b>3.5.</b>
+ <b>3.6.2.</b>
- Feature selection
+ Quantify non-number features
</a>
@@ -650,6 +660,11 @@
</li>
+ </ul>
+
+ </li>
+
+
<li class="header">Part IV - Evaluation</li>
@@ -2217,7 +2232,7 @@ 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/15b9991a/userguide/multiclass/iris_randomforest.html
----------------------------------------------------------------------
diff --git a/userguide/multiclass/iris_randomforest.html b/userguide/multiclass/iris_randomforest.html
index 3190aa8..3322ec3 100644
--- a/userguide/multiclass/iris_randomforest.html
+++ b/userguide/multiclass/iris_randomforest.html
@@ -568,14 +568,14 @@
</li>
- <li class="chapter " data-level="3.3" data-path="../ft_engineering/tfidf.html">
+ <li class="chapter " data-level="3.3" data-path="../ft_engineering/selection.html">
- <a href="../ft_engineering/tfidf.html">
+ <a href="../ft_engineering/selection.html">
<b>3.3.</b>
- TF-IDF calculation
+ Feature Selection
</a>
@@ -583,30 +583,29 @@
</li>
- <li class="chapter " data-level="3.4" data-path="../ft_engineering/ft_trans.html">
+ <li class="chapter " data-level="3.4" data-path="../ft_engineering/binning.html">
- <a href="../ft_engineering/ft_trans.html">
+ <a href="../ft_engineering/binning.html">
<b>3.4.</b>
- FEATURE TRANSFORMATION
+ Feature Binning
</a>
- <ul class="articles">
-
+ </li>
- <li class="chapter " data-level="3.4.1" data-path="../ft_engineering/vectorizer.html">
+ <li class="chapter " data-level="3.5" data-path="../ft_engineering/tfidf.html">
- <a href="../ft_engineering/vectorizer.html">
+ <a href="../ft_engineering/tfidf.html">
- <b>3.4.1.</b>
+ <b>3.5.</b>
- Vectorize Features
+ TF-IDF Calculation
</a>
@@ -614,34 +613,45 @@
</li>
- <li class="chapter " data-level="3.4.2" data-path="../ft_engineering/quantify.html">
+ <li class="chapter " data-level="3.6" data-path="../ft_engineering/ft_trans.html">
- <a href="../ft_engineering/quantify.html">
+ <a href="../ft_engineering/ft_trans.html">
- <b>3.4.2.</b>
+ <b>3.6.</b>
- Quantify non-number features
+ FEATURE TRANSFORMATION
</a>
- </li>
+ <ul class="articles">
+
+ <li class="chapter " data-level="3.6.1" data-path="../ft_engineering/vectorization.html">
+
+ <a href="../ft_engineering/vectorization.html">
+
+
+ <b>3.6.1.</b>
+
+ Feature Vectorization
+
+ </a>
+
- </ul>
</li>
- <li class="chapter " data-level="3.5" data-path="../ft_engineering/feature_selection.html">
+ <li class="chapter " data-level="3.6.2" data-path="../ft_engineering/quantify.html">
- <a href="../ft_engineering/feature_selection.html">
+ <a href="../ft_engineering/quantify.html">
- <b>3.5.</b>
+ <b>3.6.2.</b>
- Feature selection
+ Quantify non-number features
</a>
@@ -650,6 +660,11 @@
</li>
+ </ul>
+
+ </li>
+
+
<li class="header">Part IV - Evaluation</li>
@@ -2312,7 +2327,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
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<b>3.4.</b>
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<li class="header">Part IV - Evaluation</li>
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[04/19] incubator-hivemall-site git commit: Added feature binning
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<TRUNCATED>
[12/19] incubator-hivemall-site git commit: Added feature binning
documentation
Posted by my...@apache.org.
http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/15b9991a/userguide/ft_engineering/selection.html
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diff --git a/userguide/ft_engineering/selection.html b/userguide/ft_engineering/selection.html
new file mode 100644
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+++ b/userguide/ft_engineering/selection.html
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+
+<!DOCTYPE HTML>
+<html lang="" >
+ <head>
+ <meta charset="UTF-8">
+ <meta content="text/html; charset=utf-8" http-equiv="Content-Type">
+ <title>Feature Selection · Hivemall User Manual</title>
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+ <meta name="generator" content="GitBook 3.2.2">
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+ <link rel="next" href="binning.html" />
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+ <body>
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+<div class="book">
+ <div class="book-summary">
+
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+<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 active" 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="tfidf.html">
+
+ <a href="tfidf.html">
+
+
+ <b>3.5.</b>
+
+ TF-IDF Calculation
+
+ </a>
+
+
+
+ </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="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 - Binary classification</li>
+
+
+
+ <li class="chapter " data-level="5.1" data-path="../binaryclass/a9a.html">
+
+ <a href="../binaryclass/a9a.html">
+
+
+ <b>5.1.</b>
+
+ a9a Tutorial
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="5.1.1" data-path="../binaryclass/a9a_dataset.html">
+
+ <a href="../binaryclass/a9a_dataset.html">
+
+
+ <b>5.1.1.</b>
+
+ Data preparation
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="5.1.2" data-path="../binaryclass/a9a_lr.html">
+
+ <a href="../binaryclass/a9a_lr.html">
+
+
+ <b>5.1.2.</b>
+
+ Logistic Regression
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="5.1.3" data-path="../binaryclass/a9a_minibatch.html">
+
+ <a href="../binaryclass/a9a_minibatch.html">
+
+
+ <b>5.1.3.</b>
+
+ Mini-batch Gradient Descent
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+ <li class="chapter " data-level="5.2" data-path="../binaryclass/news20.html">
+
+ <a href="../binaryclass/news20.html">
+
+
+ <b>5.2.</b>
+
+ News20 Tutorial
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="5.2.1" data-path="../binaryclass/news20_dataset.html">
+
+ <a href="../binaryclass/news20_dataset.html">
+
+
+ <b>5.2.1.</b>
+
+ Data preparation
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="5.2.2" data-path="../binaryclass/news20_pa.html">
+
+ <a href="../binaryclass/news20_pa.html">
+
+
+ <b>5.2.2.</b>
+
+ Perceptron, Passive Aggressive
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="5.2.3" data-path="../binaryclass/news20_scw.html">
+
+ <a href="../binaryclass/news20_scw.html">
+
+
+ <b>5.2.3.</b>
+
+ CW, AROW, SCW
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="5.2.4" data-path="../binaryclass/news20_adagrad.html">
+
+ <a href="../binaryclass/news20_adagrad.html">
+
+
+ <b>5.2.4.</b>
+
+ AdaGradRDA, AdaGrad, AdaDelta
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+ <li class="chapter " data-level="5.3" data-path="../binaryclass/kdd2010a.html">
+
+ <a href="../binaryclass/kdd2010a.html">
+
+
+ <b>5.3.</b>
+
+ KDD2010a Tutorial
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="5.3.1" data-path="../binaryclass/kdd2010a_dataset.html">
+
+ <a href="../binaryclass/kdd2010a_dataset.html">
+
+
+ <b>5.3.1.</b>
+
+ Data preparation
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="5.3.2" data-path="../binaryclass/kdd2010a_scw.html">
+
+ <a href="../binaryclass/kdd2010a_scw.html">
+
+
+ <b>5.3.2.</b>
+
+ PA, CW, AROW, SCW
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+ <li class="chapter " data-level="5.4" data-path="../binaryclass/kdd2010b.html">
+
+ <a href="../binaryclass/kdd2010b.html">
+
+
+ <b>5.4.</b>
+
+ KDD2010b Tutorial
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="5.4.1" data-path="../binaryclass/kdd2010b_dataset.html">
+
+ <a href="../binaryclass/kdd2010b_dataset.html">
+
+
+ <b>5.4.1.</b>
+
+ Data preparation
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="5.4.2" data-path="../binaryclass/kdd2010b_arow.html">
+
+ <a href="../binaryclass/kdd2010b_arow.html">
+
+
+ <b>5.4.2.</b>
+
+ AROW
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+ <li class="chapter " data-level="5.5" data-path="../binaryclass/webspam.html">
+
+ <a href="../binaryclass/webspam.html">
+
+
+ <b>5.5.</b>
+
+ Webspam Tutorial
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="5.5.1" data-path="../binaryclass/webspam_dataset.html">
+
+ <a href="../binaryclass/webspam_dataset.html">
+
+
+ <b>5.5.1.</b>
+
+ Data pareparation
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="5.5.2" data-path="../binaryclass/webspam_scw.html">
+
+ <a href="../binaryclass/webspam_scw.html">
+
+
+ <b>5.5.2.</b>
+
+ PA1, AROW, SCW
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+ <li class="chapter " data-level="5.6" data-path="../binaryclass/titanic_rf.html">
+
+ <a href="../binaryclass/titanic_rf.html">
+
+
+ <b>5.6.</b>
+
+ Kaggle Titanic Tutorial
+
+ </a>
+
+
+
+ </li>
+
+
+
+
+ <li class="header">Part VI - Multiclass classification</li>
+
+
+
+ <li class="chapter " data-level="6.1" data-path="../multiclass/news20.html">
+
+ <a href="../multiclass/news20.html">
+
+
+ <b>6.1.</b>
+
+ News20 Multiclass Tutorial
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="6.1.1" data-path="../multiclass/news20_dataset.html">
+
+ <a href="../multiclass/news20_dataset.html">
+
+
+ <b>6.1.1.</b>
+
+ Data preparation
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="6.1.2" data-path="../multiclass/news20_one-vs-the-rest_dataset.html">
+
+ <a href="../multiclass/news20_one-vs-the-rest_dataset.html">
+
+
+ <b>6.1.2.</b>
+
+ Data preparation for one-vs-the-rest classifiers
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="6.1.3" data-path="../multiclass/news20_pa.html">
+
+ <a href="../multiclass/news20_pa.html">
+
+
+ <b>6.1.3.</b>
+
+ PA
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="6.1.4" data-path="../multiclass/news20_scw.html">
+
+ <a href="../multiclass/news20_scw.html">
+
+
+ <b>6.1.4.</b>
+
+ CW, AROW, SCW
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="6.1.5" data-path="../multiclass/news20_ensemble.html">
+
+ <a href="../multiclass/news20_ensemble.html">
+
+
+ <b>6.1.5.</b>
+
+ Ensemble learning
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="6.1.6" data-path="../multiclass/news20_one-vs-the-rest.html">
+
+ <a href="../multiclass/news20_one-vs-the-rest.html">
+
+
+ <b>6.1.6.</b>
+
+ one-vs-the-rest classifier
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+ <li class="chapter " data-level="6.2" data-path="../multiclass/iris.html">
+
+ <a href="../multiclass/iris.html">
+
+
+ <b>6.2.</b>
+
+ Iris Tutorial
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="6.2.1" data-path="../multiclass/iris_dataset.html">
+
+ <a href="../multiclass/iris_dataset.html">
+
+
+ <b>6.2.1.</b>
+
+ Data preparation
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="6.2.2" data-path="../multiclass/iris_scw.html">
+
+ <a href="../multiclass/iris_scw.html">
+
+
+ <b>6.2.2.</b>
+
+ SCW
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="6.2.3" data-path="../multiclass/iris_randomforest.html">
+
+ <a href="../multiclass/iris_randomforest.html">
+
+
+ <b>6.2.3.</b>
+
+ RandomForest
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+
+
+
+ <li class="header">Part VII - Regression</li>
+
+
+
+ <li class="chapter " data-level="7.1" data-path="../regression/e2006.html">
+
+ <a href="../regression/e2006.html">
+
+
+ <b>7.1.</b>
+
+ E2006-tfidf regression Tutorial
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="7.1.1" data-path="../regression/e2006_dataset.html">
+
+ <a href="../regression/e2006_dataset.html">
+
+
+ <b>7.1.1.</b>
+
+ Data preparation
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="7.1.2" data-path="../regression/e2006_arow.html">
+
+ <a href="../regression/e2006_arow.html">
+
+
+ <b>7.1.2.</b>
+
+ Passive Aggressive, AROW
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+ <li class="chapter " data-level="7.2" data-path="../regression/kddcup12tr2.html">
+
+ <a href="../regression/kddcup12tr2.html">
+
+
+ <b>7.2.</b>
+
+ KDDCup 2012 track 2 CTR prediction Tutorial
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="7.2.1" data-path="../regression/kddcup12tr2_dataset.html">
+
+ <a href="../regression/kddcup12tr2_dataset.html">
+
+
+ <b>7.2.1.</b>
+
+ Data preparation
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="7.2.2" data-path="../regression/kddcup12tr2_lr.html">
+
+ <a href="../regression/kddcup12tr2_lr.html">
+
+
+ <b>7.2.2.</b>
+
+ Logistic Regression, Passive Aggressive
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="7.2.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
+
+ <a href="../regression/kddcup12tr2_lr_amplify.html">
+
+
+ <b>7.2.3.</b>
+
+ Logistic Regression with Amplifier
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="7.2.4" data-path="../regression/kddcup12tr2_adagrad.html">
+
+ <a href="../regression/kddcup12tr2_adagrad.html">
+
+
+ <b>7.2.4.</b>
+
+ AdaGrad, AdaDelta
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+
+
+
+ <li class="header">Part VIII - Recommendation</li>
+
+
+
+ <li class="chapter " data-level="8.1" data-path="../recommend/cf.html">
+
+ <a href="../recommend/cf.html">
+
+
+ <b>8.1.</b>
+
+ Collaborative Filtering
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="8.1.1" data-path="../recommend/item_based_cf.html">
+
+ <a href="../recommend/item_based_cf.html">
+
+
+ <b>8.1.1.</b>
+
+ Item-based Collaborative Filtering
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+ <li class="chapter " data-level="8.2" data-path="../recommend/news20.html">
+
+ <a href="../recommend/news20.html">
+
+
+ <b>8.2.</b>
+
+ News20 related article recommendation Tutorial
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="8.2.1" data-path="../multiclass/news20_dataset.html">
+
+ <a href="../multiclass/news20_dataset.html">
+
+
+ <b>8.2.1.</b>
+
+ Data preparation
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="8.2.2" data-path="../recommend/news20_jaccard.html">
+
+ <a href="../recommend/news20_jaccard.html">
+
+
+ <b>8.2.2.</b>
+
+ LSH/Minhash and Jaccard Similarity
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="8.2.3" data-path="../recommend/news20_knn.html">
+
+ <a href="../recommend/news20_knn.html">
+
+
+ <b>8.2.3.</b>
+
+ LSH/Minhash and Brute-Force Search
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="8.2.4" data-path="../recommend/news20_bbit_minhash.html">
+
+ <a href="../recommend/news20_bbit_minhash.html">
+
+
+ <b>8.2.4.</b>
+
+ kNN search using b-Bits Minhash
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+ <li class="chapter " data-level="8.3" data-path="../recommend/movielens.html">
+
+ <a href="../recommend/movielens.html">
+
+
+ <b>8.3.</b>
+
+ MovieLens movie recommendation Tutorial
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="8.3.1" data-path="../recommend/movielens_dataset.html">
+
+ <a href="../recommend/movielens_dataset.html">
+
+
+ <b>8.3.1.</b>
+
+ Data preparation
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="8.3.2" data-path="../recommend/movielens_mf.html">
+
+ <a href="../recommend/movielens_mf.html">
+
+
+ <b>8.3.2.</b>
+
+ Matrix Factorization
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="8.3.3" data-path="../recommend/movielens_fm.html">
+
+ <a href="../recommend/movielens_fm.html">
+
+
+ <b>8.3.3.</b>
+
+ Factorization Machine
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="8.3.4" data-path="../recommend/movielens_cv.html">
+
+ <a href="../recommend/movielens_cv.html">
+
+
+ <b>8.3.4.</b>
+
+ 10-fold Cross Validation (Matrix Factorization)
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+
+
+
+ <li class="header">Part IX - Anomaly Detection</li>
+
+
+
+ <li class="chapter " data-level="9.1" data-path="../anomaly/lof.html">
+
+ <a href="../anomaly/lof.html">
+
+
+ <b>9.1.</b>
+
+ Outlier Detection using Local Outlier Factor (LOF)
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="9.2" data-path="../anomaly/sst.html">
+
+ <a href="../anomaly/sst.html">
+
+
+ <b>9.2.</b>
+
+ Change-Point Detection using Singular Spectrum Transformation (SST)
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="9.3" data-path="../anomaly/changefinder.html">
+
+ <a href="../anomaly/changefinder.html">
+
+
+ <b>9.3.</b>
+
+ ChangeFinder: Detecting Outlier and Change-Point Simultaneously
+
+ </a>
+
+
+
+ </li>
+
+
+
+
+ <li class="header">Part X - Clustering</li>
+
+
+
+ <li class="chapter " data-level="10.1" data-path="../clustering/lda.html">
+
+ <a href="../clustering/lda.html">
+
+
+ <b>10.1.</b>
+
+ Latent Dirichlet Allocation
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="10.2" data-path="../clustering/plsa.html">
+
+ <a href="../clustering/plsa.html">
+
+
+ <b>10.2.</b>
+
+ Probabilistic Latent Semantic Analysis
+
+ </a>
+
+
+
+ </li>
+
+
+
+
+ <li class="header">Part XI - GeoSpatial functions</li>
+
+
+
+ <li class="chapter " data-level="11.1" data-path="../geospatial/latlon.html">
+
+ <a href="../geospatial/latlon.html">
+
+
+ <b>11.1.</b>
+
+ Lat/Lon functions
+
+ </a>
+
+
+
+ </li>
+
+
+
+
+ <li class="header">Part XII - Hivemall on Spark</li>
+
+
+
+ <li class="chapter " data-level="12.1" data-path="../spark/getting_started/">
+
+ <a href="../spark/getting_started/">
+
+
+ <b>12.1.</b>
+
+ Getting Started
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="12.1.1" data-path="../spark/getting_started/installation.html">
+
+ <a href="../spark/getting_started/installation.html">
+
+
+ <b>12.1.1.</b>
+
+ Installation
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+ <li class="chapter " data-level="12.2" data-path="../spark/binaryclass/">
+
+ <a href="../spark/binaryclass/">
+
+
+ <b>12.2.</b>
+
+ Binary Classification
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="12.2.1" data-path="../spark/binaryclass/a9a_df.html">
+
+ <a href="../spark/binaryclass/a9a_df.html">
+
+
+ <b>12.2.1.</b>
+
+ a9a Tutorial for DataFrame
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+ <li class="chapter " data-level="12.3" data-path="../spark/binaryclass/">
+
+ <a href="../spark/binaryclass/">
+
+
+ <b>12.3.</b>
+
+ Regression
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="12.3.1" data-path="../spark/regression/e2006_df.html">
+
+ <a href="../spark/regression/e2006_df.html">
+
+
+ <b>12.3.1.</b>
+
+ E2006-tfidf regression Tutorial for DataFrame
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+ <li class="chapter " data-level="12.4" data-path="../spark/misc/misc.html">
+
+ <a href="../spark/misc/misc.html">
+
+
+ <b>12.4.</b>
+
+ Generic features
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="12.4.1" data-path="../spark/misc/topk_join.html">
+
+ <a href="../spark/misc/topk_join.html">
+
+
+ <b>12.4.1.</b>
+
+ Top-k Join processing
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="12.4.2" data-path="../spark/misc/functions.html">
+
+ <a href="../spark/misc/functions.html">
+
+
+ <b>12.4.2.</b>
+
+ Other utility functions
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+
+
+
+ <li class="header">Part XIII - Hivemall on Docker</li>
+
+
+
+ <li class="chapter " data-level="13.1" data-path="../docker/getting_started.html">
+
+ <a href="../docker/getting_started.html">
+
+
+ <b>13.1.</b>
+
+ Getting Started
+
+ </a>
+
+
+
+ </li>
+
+
+
+
+ <li class="header">Part XIV - External References</li>
+
+
+
+ <li class="chapter " data-level="14.1" >
+
+ <a target="_blank" href="https://github.com/maropu/hivemall-spark">
+
+
+ <b>14.1.</b>
+
+ Hivemall on Apache Spark
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="14.2" >
+
+ <a target="_blank" href="https://github.com/daijyc/hivemall/wiki/PigHome">
+
+
+ <b>14.2.</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 Selection</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.
+-->
+<p><a href="https://en.wikipedia.org/wiki/Feature_selection" target="_blank">Feature Selection</a> is the process of selecting a subset of relevant features for use in model construction. </p>
+<p>It is a useful technique to 1) improve prediction results by omitting redundant features, 2) to shorten training time, and 3) to know important features for prediction.</p>
+<p><em>Note: This feature is supported from Hivemall v0.5-rc.1 or later.</em></p>
+<!-- toc --><div id="toc" class="toc">
+
+<ul>
+<li><a href="#supported-feature-selection-algorithms">Supported Feature Selection algorithms</a></li>
+<li><a href="#usage">Usage</a><ul>
+<li><a href="#feature-selection-based-on-chi-square-test">Feature Selection based on Chi-square test</a></li>
+<li><a href="#feature-selection-based-on-signal-noise-ratio-snr">Feature Selection based on Signal Noise Ratio (SNR)</a></li>
+</ul>
+</li>
+<li><a href="#function-signatures">Function signatures</a><ul>
+<li><a href="#udaf-transposeanddotxarraynumber-yarraynumberarrayarraydouble">[UDAF] <code>transpose_and_dot(X::array<number>, Y::array<number>)::array<array<double>></code></a></li>
+<li><a href="#udf-selectkbestxarraynumber-importancelistarraynumber-kintarraydouble">[UDF] <code>select_k_best(X::array<number>, importance_list::array<number>, k::int)::array<double></code></a></li>
+<li><a href="#udf-chi2observedarrayarraynumber-expectedarrayarraynumberstructarraydouble-arraydouble">[UDF] <code>chi2(observed::array<array<number>>, expected::array<array<number>>)::struct<array<double>, array<double>></code></a></li>
+<li><a href="#udaf-snrxarraynumber-yarrayintarraydouble">[UDAF] <code>snr(X::array<number>, Y::array<int>)::array<double></code></a></li>
+</ul>
+</li>
+</ul>
+
+</div><!-- tocstop -->
+<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="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="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>
+<h1 id="usage">Usage</h1>
+<h2 id="feature-selection-based-on-chi-square-test">Feature Selection based on Chi-square test</h2>
+<pre><code class="lang-sql"><span class="hljs-keyword">CREATE</span> <span class="hljs-keyword">TABLE</span> <span class="hljs-keyword">input</span> (
+ X <span class="hljs-built_in">array</span><<span class="hljs-keyword">double</span>>, <span class="hljs-comment">-- features</span>
+ Y <span class="hljs-built_in">array</span><<span class="hljs-built_in">int</span>> <span class="hljs-comment">-- binarized label</span>
+);
+
+<span class="hljs-keyword">set</span> hivevar:k=<span class="hljs-number">2</span>;
+
+WITH stats AS (
+ <span class="hljs-keyword">SELECT</span>
+ transpose_and_dot(Y, X) <span class="hljs-keyword">AS</span> observed, <span class="hljs-comment">-- array<array<double>>, shape = (n_classes, n_features)</span>
+ array_sum(X) <span class="hljs-keyword">AS</span> feature_count, <span class="hljs-comment">-- n_features col vector, shape = (1, array<double>)</span>
+ array_avg(Y) <span class="hljs-keyword">AS</span> class_prob <span class="hljs-comment">-- n_class col vector, shape = (1, array<double>)</span>
+ <span class="hljs-keyword">FROM</span>
+ <span class="hljs-keyword">input</span>
+),
+<span class="hljs-keyword">test</span> <span class="hljs-keyword">AS</span> (
+ <span class="hljs-keyword">SELECT</span>
+ transpose_and_dot(class_prob, feature_count) <span class="hljs-keyword">AS</span> expected <span class="hljs-comment">-- array<array<double>>, shape = (n_class, n_features)</span>
+ <span class="hljs-keyword">FROM</span>
+ stats
+),
+chi2 <span class="hljs-keyword">AS</span> (
+ <span class="hljs-keyword">SELECT</span>
+ chi2(r.observed, l.expected) <span class="hljs-keyword">AS</span> v <span class="hljs-comment">-- struct<array<double>, array<double>>, each shape = (1, n_features)</span>
+ <span class="hljs-keyword">FROM</span>
+ <span class="hljs-keyword">test</span> l
+ <span class="hljs-keyword">CROSS</span> <span class="hljs-keyword">JOIN</span> stats r
+)
+<span class="hljs-keyword">SELECT</span>
+ select_k_best(l.X, r.v.chi2, ${k}) <span class="hljs-keyword">as</span> features <span class="hljs-comment">-- top-k feature selection based on chi2 score</span>
+<span class="hljs-keyword">FROM</span>
+ <span class="hljs-keyword">input</span> l
+ <span class="hljs-keyword">CROSS</span> <span class="hljs-keyword">JOIN</span> chi2 r;
+</code></pre>
+<h2 id="feature-selection-based-on-signal-noise-ratio-snr">Feature Selection based on Signal Noise Ratio (SNR)</h2>
+<pre><code class="lang-sql"><span class="hljs-keyword">CREATE</span> <span class="hljs-keyword">TABLE</span> <span class="hljs-keyword">input</span> (
+ X <span class="hljs-built_in">array</span><<span class="hljs-keyword">double</span>>, <span class="hljs-comment">-- features</span>
+ Y <span class="hljs-built_in">array</span><<span class="hljs-built_in">int</span>> <span class="hljs-comment">-- binarized label</span>
+);
+
+<span class="hljs-keyword">set</span> hivevar:k=<span class="hljs-number">2</span>;
+
+WITH snr AS (
+ <span class="hljs-keyword">SELECT</span> snr(X, Y) <span class="hljs-keyword">AS</span> snr <span class="hljs-comment">-- aggregated SNR as array<double>, shape = (1, #features)</span>
+ <span class="hljs-keyword">FROM</span> <span class="hljs-keyword">input</span>
+)
+<span class="hljs-keyword">SELECT</span>
+ select_k_best(X, snr, ${k}) <span class="hljs-keyword">as</span> features
+<span class="hljs-keyword">FROM</span>
+ <span class="hljs-keyword">input</span>
+ <span class="hljs-keyword">CROSS</span> <span class="hljs-keyword">JOIN</span> snr;
+</code></pre>
+<h1 id="function-signatures">Function signatures</h1>
+<h3 id="udaf-transposeanddotxarraynumber-yarraynumberarrayarraydouble">[UDAF] <code>transpose_and_dot(X::array<number>, Y::array<number>)::array<array<double>></code></h3>
+<h5 id="input">Input</h5>
+<table>
+<thead>
+<tr>
+<th style="text-align:center"><code>array<number></code> X</th>
+<th style="text-align:center"><code>array<number></code> Y</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td style="text-align:center">a row of matrix</td>
+<td style="text-align:center">a row of matrix</td>
+</tr>
+</tbody>
+</table>
+<h5 id="output">Output</h5>
+<table>
+<thead>
+<tr>
+<th style="text-align:center"><code>array<array<double>></code> dot product</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td style="text-align:center"><code>dot(X.T, Y)</code> of shape = (X.#cols, Y.#cols)</td>
+</tr>
+</tbody>
+</table>
+<h3 id="udf-selectkbestxarraynumber-importancelistarraynumber-kintarraydouble">[UDF] <code>select_k_best(X::array<number>, importance_list::array<number>, k::int)::array<double></code></h3>
+<h5 id="input">Input</h5>
+<table>
+<thead>
+<tr>
+<th style="text-align:center"><code>array<number></code> X</th>
+<th style="text-align:center"><code>array<number></code> importance_list</th>
+<th style="text-align:center"><code>int</code> k</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td style="text-align:center">feature vector</td>
+<td style="text-align:center">importance of each feature</td>
+<td style="text-align:center">the number of features to be selected</td>
+</tr>
+</tbody>
+</table>
+<h5 id="output">Output</h5>
+<table>
+<thead>
+<tr>
+<th style="text-align:center"><code>array<array<double>></code> k-best features</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td style="text-align:center">top-k elements from feature vector <code>X</code> based on importance list</td>
+</tr>
+</tbody>
+</table>
+<h3 id="udf-chi2observedarrayarraynumber-expectedarrayarraynumberstructarraydouble-arraydouble">[UDF] <code>chi2(observed::array<array<number>>, expected::array<array<number>>)::struct<array<double>, array<double>></code></h3>
+<h5 id="input">Input</h5>
+<table>
+<thead>
+<tr>
+<th style="text-align:center"><code>array<number></code> observed</th>
+<th style="text-align:center"><code>array<number></code> expected</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td style="text-align:center">observed features</td>
+<td style="text-align:center">expected features <code>dot(class_prob.T, feature_count)</code></td>
+</tr>
+</tbody>
+</table>
+<p>Both of <code>observed</code> and <code>expected</code> have a shape <code>(#classes, #features)</code></p>
+<h5 id="output">Output</h5>
+<table>
+<thead>
+<tr>
+<th style="text-align:center"><code>struct<array<double>, array<double>></code> importance_list</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td style="text-align:center">chi2-value and p-value for each feature</td>
+</tr>
+</tbody>
+</table>
+<h3 id="udaf-snrxarraynumber-yarrayintarraydouble">[UDAF] <code>snr(X::array<number>, Y::array<int>)::array<double></code></h3>
+<h5 id="input">Input</h5>
+<table>
+<thead>
+<tr>
+<th style="text-align:center"><code>array<number></code> X</th>
+<th style="text-align:center"><code>array<int></code> Y</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td style="text-align:center">feature vector</td>
+<td style="text-align:center">one hot label</td>
+</tr>
+</tbody>
+</table>
+<h5 id="output">Output</h5>
+<table>
+<thead>
+<tr>
+<th style="text-align:center"><code>array<double></code> importance_list</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td style="text-align:center">Signal Noise Ratio for each feature</td>
+</tr>
+</tbody>
+</table>
+<p><div id="page-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>
+
+ </div>
+ <div class="no-results">
+
+ <h1 class="search-results-title">No results matching "<span class='search-query'></span>"</h1>
+
+ </div>
+ </div>
+</div>
+
+ </div>
+ </div>
+
+ </div>
+
+
+
+
+ </div>
+
+ <script>
+ var gitbook = gitbook || [];
+ gitbook.push(function() {
+ gitbook.page.hasChanged({"page":{"title":"Feature Selection","level":"3.3","depth":1,"next":{"title":"Feature Binning","level":"3.4","depth":1,"path":"ft_engineering/binning.md","ref":"ft_engineering/binning.md","articles":[]},"previous":{"title":"Feature Hashing","level":"3.2","depth":1,"path":"ft_engineering/hashing.md","ref":"ft_engineering/hashing.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":{"header":1,"maxdepth":3,"mindepth":1,"notoc":true},"github":{"url":"https://github.com/apache/incubator-hivemall/"},"splitter":{},"search"
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+ });
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+</div>
+
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+</html>
+
http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/15b9991a/userguide/ft_engineering/tfidf.html
----------------------------------------------------------------------
diff --git a/userguide/ft_engineering/tfidf.html b/userguide/ft_engineering/tfidf.html
index b9cf591..d752be1 100644
--- a/userguide/ft_engineering/tfidf.html
+++ b/userguide/ft_engineering/tfidf.html
@@ -4,7 +4,7 @@
<head>
<meta charset="UTF-8">
<meta content="text/html; charset=utf-8" http-equiv="Content-Type">
- <title>TF-IDF calculation · Hivemall User Manual</title>
+ <title>TF-IDF Calculation · 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="ft_trans.html" />
- <link rel="prev" href="hashing.html" />
+ <link rel="prev" href="binning.html" />
</head>
@@ -568,14 +568,14 @@
</li>
- <li class="chapter active" data-level="3.3" data-path="tfidf.html">
+ <li class="chapter " data-level="3.3" data-path="selection.html">
- <a href="tfidf.html">
+ <a href="selection.html">
<b>3.3.</b>
- TF-IDF calculation
+ Feature Selection
</a>
@@ -583,30 +583,29 @@
</li>
- <li class="chapter " data-level="3.4" data-path="ft_trans.html">
+ <li class="chapter " data-level="3.4" data-path="binning.html">
- <a href="ft_trans.html">
+ <a href="binning.html">
<b>3.4.</b>
- FEATURE TRANSFORMATION
+ Feature Binning
</a>
- <ul class="articles">
-
+ </li>
- <li class="chapter " data-level="3.4.1" data-path="vectorizer.html">
+ <li class="chapter active" data-level="3.5" data-path="tfidf.html">
- <a href="vectorizer.html">
+ <a href="tfidf.html">
- <b>3.4.1.</b>
+ <b>3.5.</b>
- Vectorize Features
+ TF-IDF Calculation
</a>
@@ -614,34 +613,45 @@
</li>
- <li class="chapter " data-level="3.4.2" data-path="quantify.html">
+ <li class="chapter " data-level="3.6" data-path="ft_trans.html">
- <a href="quantify.html">
+ <a href="ft_trans.html">
- <b>3.4.2.</b>
+ <b>3.6.</b>
- Quantify non-number features
+ FEATURE TRANSFORMATION
</a>
- </li>
+ <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>
+
- </ul>
</li>
- <li class="chapter " data-level="3.5" data-path="feature_selection.html">
+ <li class="chapter " data-level="3.6.2" data-path="quantify.html">
- <a href="feature_selection.html">
+ <a href="quantify.html">
- <b>3.5.</b>
+ <b>3.6.2.</b>
- Feature selection
+ Quantify non-number features
</a>
@@ -650,6 +660,11 @@
</li>
+ </ul>
+
+ </li>
+
+
<li class="header">Part IV - Evaluation</li>
@@ -1959,7 +1974,7 @@
<!-- Title -->
<h1>
<i class="fa fa-circle-o-notch fa-spin"></i>
- <a href=".." >TF-IDF calculation</a>
+ <a href=".." >TF-IDF Calculation</a>
</h1>
</div>
@@ -2177,7 +2192,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
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[11/19] incubator-hivemall-site git commit: Added feature binning
documentation
Posted by my...@apache.org.
http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/15b9991a/userguide/ft_engineering/vectorization.html
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diff --git a/userguide/ft_engineering/vectorization.html b/userguide/ft_engineering/vectorization.html
new file mode 100644
index 0000000..2443b8d
--- /dev/null
+++ b/userguide/ft_engineering/vectorization.html
@@ -0,0 +1,2175 @@
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+
+ <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="tfidf.html">
+
+ <a href="tfidf.html">
+
+
+ <b>3.5.</b>
+
+ TF-IDF Calculation
+
+ </a>
+
+
+
+ </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 active" 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="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 - Binary classification</li>
+
+
+
+ <li class="chapter " data-level="5.1" data-path="../binaryclass/a9a.html">
+
+ <a href="../binaryclass/a9a.html">
+
+
+ <b>5.1.</b>
+
+ a9a Tutorial
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="5.1.1" data-path="../binaryclass/a9a_dataset.html">
+
+ <a href="../binaryclass/a9a_dataset.html">
+
+
+ <b>5.1.1.</b>
+
+ Data preparation
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="5.1.2" data-path="../binaryclass/a9a_lr.html">
+
+ <a href="../binaryclass/a9a_lr.html">
+
+
+ <b>5.1.2.</b>
+
+ Logistic Regression
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="5.1.3" data-path="../binaryclass/a9a_minibatch.html">
+
+ <a href="../binaryclass/a9a_minibatch.html">
+
+
+ <b>5.1.3.</b>
+
+ Mini-batch Gradient Descent
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+ <li class="chapter " data-level="5.2" data-path="../binaryclass/news20.html">
+
+ <a href="../binaryclass/news20.html">
+
+
+ <b>5.2.</b>
+
+ News20 Tutorial
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="5.2.1" data-path="../binaryclass/news20_dataset.html">
+
+ <a href="../binaryclass/news20_dataset.html">
+
+
+ <b>5.2.1.</b>
+
+ Data preparation
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="5.2.2" data-path="../binaryclass/news20_pa.html">
+
+ <a href="../binaryclass/news20_pa.html">
+
+
+ <b>5.2.2.</b>
+
+ Perceptron, Passive Aggressive
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="5.2.3" data-path="../binaryclass/news20_scw.html">
+
+ <a href="../binaryclass/news20_scw.html">
+
+
+ <b>5.2.3.</b>
+
+ CW, AROW, SCW
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="5.2.4" data-path="../binaryclass/news20_adagrad.html">
+
+ <a href="../binaryclass/news20_adagrad.html">
+
+
+ <b>5.2.4.</b>
+
+ AdaGradRDA, AdaGrad, AdaDelta
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+ <li class="chapter " data-level="5.3" data-path="../binaryclass/kdd2010a.html">
+
+ <a href="../binaryclass/kdd2010a.html">
+
+
+ <b>5.3.</b>
+
+ KDD2010a Tutorial
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="5.3.1" data-path="../binaryclass/kdd2010a_dataset.html">
+
+ <a href="../binaryclass/kdd2010a_dataset.html">
+
+
+ <b>5.3.1.</b>
+
+ Data preparation
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="5.3.2" data-path="../binaryclass/kdd2010a_scw.html">
+
+ <a href="../binaryclass/kdd2010a_scw.html">
+
+
+ <b>5.3.2.</b>
+
+ PA, CW, AROW, SCW
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+ <li class="chapter " data-level="5.4" data-path="../binaryclass/kdd2010b.html">
+
+ <a href="../binaryclass/kdd2010b.html">
+
+
+ <b>5.4.</b>
+
+ KDD2010b Tutorial
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="5.4.1" data-path="../binaryclass/kdd2010b_dataset.html">
+
+ <a href="../binaryclass/kdd2010b_dataset.html">
+
+
+ <b>5.4.1.</b>
+
+ Data preparation
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="5.4.2" data-path="../binaryclass/kdd2010b_arow.html">
+
+ <a href="../binaryclass/kdd2010b_arow.html">
+
+
+ <b>5.4.2.</b>
+
+ AROW
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+ <li class="chapter " data-level="5.5" data-path="../binaryclass/webspam.html">
+
+ <a href="../binaryclass/webspam.html">
+
+
+ <b>5.5.</b>
+
+ Webspam Tutorial
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="5.5.1" data-path="../binaryclass/webspam_dataset.html">
+
+ <a href="../binaryclass/webspam_dataset.html">
+
+
+ <b>5.5.1.</b>
+
+ Data pareparation
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="5.5.2" data-path="../binaryclass/webspam_scw.html">
+
+ <a href="../binaryclass/webspam_scw.html">
+
+
+ <b>5.5.2.</b>
+
+ PA1, AROW, SCW
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+ <li class="chapter " data-level="5.6" data-path="../binaryclass/titanic_rf.html">
+
+ <a href="../binaryclass/titanic_rf.html">
+
+
+ <b>5.6.</b>
+
+ Kaggle Titanic Tutorial
+
+ </a>
+
+
+
+ </li>
+
+
+
+
+ <li class="header">Part VI - Multiclass classification</li>
+
+
+
+ <li class="chapter " data-level="6.1" data-path="../multiclass/news20.html">
+
+ <a href="../multiclass/news20.html">
+
+
+ <b>6.1.</b>
+
+ News20 Multiclass Tutorial
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="6.1.1" data-path="../multiclass/news20_dataset.html">
+
+ <a href="../multiclass/news20_dataset.html">
+
+
+ <b>6.1.1.</b>
+
+ Data preparation
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="6.1.2" data-path="../multiclass/news20_one-vs-the-rest_dataset.html">
+
+ <a href="../multiclass/news20_one-vs-the-rest_dataset.html">
+
+
+ <b>6.1.2.</b>
+
+ Data preparation for one-vs-the-rest classifiers
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="6.1.3" data-path="../multiclass/news20_pa.html">
+
+ <a href="../multiclass/news20_pa.html">
+
+
+ <b>6.1.3.</b>
+
+ PA
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="6.1.4" data-path="../multiclass/news20_scw.html">
+
+ <a href="../multiclass/news20_scw.html">
+
+
+ <b>6.1.4.</b>
+
+ CW, AROW, SCW
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="6.1.5" data-path="../multiclass/news20_ensemble.html">
+
+ <a href="../multiclass/news20_ensemble.html">
+
+
+ <b>6.1.5.</b>
+
+ Ensemble learning
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="6.1.6" data-path="../multiclass/news20_one-vs-the-rest.html">
+
+ <a href="../multiclass/news20_one-vs-the-rest.html">
+
+
+ <b>6.1.6.</b>
+
+ one-vs-the-rest classifier
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+ <li class="chapter " data-level="6.2" data-path="../multiclass/iris.html">
+
+ <a href="../multiclass/iris.html">
+
+
+ <b>6.2.</b>
+
+ Iris Tutorial
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="6.2.1" data-path="../multiclass/iris_dataset.html">
+
+ <a href="../multiclass/iris_dataset.html">
+
+
+ <b>6.2.1.</b>
+
+ Data preparation
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="6.2.2" data-path="../multiclass/iris_scw.html">
+
+ <a href="../multiclass/iris_scw.html">
+
+
+ <b>6.2.2.</b>
+
+ SCW
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="6.2.3" data-path="../multiclass/iris_randomforest.html">
+
+ <a href="../multiclass/iris_randomforest.html">
+
+
+ <b>6.2.3.</b>
+
+ RandomForest
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+
+
+
+ <li class="header">Part VII - Regression</li>
+
+
+
+ <li class="chapter " data-level="7.1" data-path="../regression/e2006.html">
+
+ <a href="../regression/e2006.html">
+
+
+ <b>7.1.</b>
+
+ E2006-tfidf regression Tutorial
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="7.1.1" data-path="../regression/e2006_dataset.html">
+
+ <a href="../regression/e2006_dataset.html">
+
+
+ <b>7.1.1.</b>
+
+ Data preparation
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="7.1.2" data-path="../regression/e2006_arow.html">
+
+ <a href="../regression/e2006_arow.html">
+
+
+ <b>7.1.2.</b>
+
+ Passive Aggressive, AROW
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+ <li class="chapter " data-level="7.2" data-path="../regression/kddcup12tr2.html">
+
+ <a href="../regression/kddcup12tr2.html">
+
+
+ <b>7.2.</b>
+
+ KDDCup 2012 track 2 CTR prediction Tutorial
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="7.2.1" data-path="../regression/kddcup12tr2_dataset.html">
+
+ <a href="../regression/kddcup12tr2_dataset.html">
+
+
+ <b>7.2.1.</b>
+
+ Data preparation
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="7.2.2" data-path="../regression/kddcup12tr2_lr.html">
+
+ <a href="../regression/kddcup12tr2_lr.html">
+
+
+ <b>7.2.2.</b>
+
+ Logistic Regression, Passive Aggressive
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="7.2.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
+
+ <a href="../regression/kddcup12tr2_lr_amplify.html">
+
+
+ <b>7.2.3.</b>
+
+ Logistic Regression with Amplifier
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="7.2.4" data-path="../regression/kddcup12tr2_adagrad.html">
+
+ <a href="../regression/kddcup12tr2_adagrad.html">
+
+
+ <b>7.2.4.</b>
+
+ AdaGrad, AdaDelta
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+
+
+
+ <li class="header">Part VIII - Recommendation</li>
+
+
+
+ <li class="chapter " data-level="8.1" data-path="../recommend/cf.html">
+
+ <a href="../recommend/cf.html">
+
+
+ <b>8.1.</b>
+
+ Collaborative Filtering
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="8.1.1" data-path="../recommend/item_based_cf.html">
+
+ <a href="../recommend/item_based_cf.html">
+
+
+ <b>8.1.1.</b>
+
+ Item-based Collaborative Filtering
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+ <li class="chapter " data-level="8.2" data-path="../recommend/news20.html">
+
+ <a href="../recommend/news20.html">
+
+
+ <b>8.2.</b>
+
+ News20 related article recommendation Tutorial
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="8.2.1" data-path="../multiclass/news20_dataset.html">
+
+ <a href="../multiclass/news20_dataset.html">
+
+
+ <b>8.2.1.</b>
+
+ Data preparation
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="8.2.2" data-path="../recommend/news20_jaccard.html">
+
+ <a href="../recommend/news20_jaccard.html">
+
+
+ <b>8.2.2.</b>
+
+ LSH/Minhash and Jaccard Similarity
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="8.2.3" data-path="../recommend/news20_knn.html">
+
+ <a href="../recommend/news20_knn.html">
+
+
+ <b>8.2.3.</b>
+
+ LSH/Minhash and Brute-Force Search
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="8.2.4" data-path="../recommend/news20_bbit_minhash.html">
+
+ <a href="../recommend/news20_bbit_minhash.html">
+
+
+ <b>8.2.4.</b>
+
+ kNN search using b-Bits Minhash
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+ <li class="chapter " data-level="8.3" data-path="../recommend/movielens.html">
+
+ <a href="../recommend/movielens.html">
+
+
+ <b>8.3.</b>
+
+ MovieLens movie recommendation Tutorial
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="8.3.1" data-path="../recommend/movielens_dataset.html">
+
+ <a href="../recommend/movielens_dataset.html">
+
+
+ <b>8.3.1.</b>
+
+ Data preparation
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="8.3.2" data-path="../recommend/movielens_mf.html">
+
+ <a href="../recommend/movielens_mf.html">
+
+
+ <b>8.3.2.</b>
+
+ Matrix Factorization
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="8.3.3" data-path="../recommend/movielens_fm.html">
+
+ <a href="../recommend/movielens_fm.html">
+
+
+ <b>8.3.3.</b>
+
+ Factorization Machine
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="8.3.4" data-path="../recommend/movielens_cv.html">
+
+ <a href="../recommend/movielens_cv.html">
+
+
+ <b>8.3.4.</b>
+
+ 10-fold Cross Validation (Matrix Factorization)
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+
+
+
+ <li class="header">Part IX - Anomaly Detection</li>
+
+
+
+ <li class="chapter " data-level="9.1" data-path="../anomaly/lof.html">
+
+ <a href="../anomaly/lof.html">
+
+
+ <b>9.1.</b>
+
+ Outlier Detection using Local Outlier Factor (LOF)
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="9.2" data-path="../anomaly/sst.html">
+
+ <a href="../anomaly/sst.html">
+
+
+ <b>9.2.</b>
+
+ Change-Point Detection using Singular Spectrum Transformation (SST)
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="9.3" data-path="../anomaly/changefinder.html">
+
+ <a href="../anomaly/changefinder.html">
+
+
+ <b>9.3.</b>
+
+ ChangeFinder: Detecting Outlier and Change-Point Simultaneously
+
+ </a>
+
+
+
+ </li>
+
+
+
+
+ <li class="header">Part X - Clustering</li>
+
+
+
+ <li class="chapter " data-level="10.1" data-path="../clustering/lda.html">
+
+ <a href="../clustering/lda.html">
+
+
+ <b>10.1.</b>
+
+ Latent Dirichlet Allocation
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="10.2" data-path="../clustering/plsa.html">
+
+ <a href="../clustering/plsa.html">
+
+
+ <b>10.2.</b>
+
+ Probabilistic Latent Semantic Analysis
+
+ </a>
+
+
+
+ </li>
+
+
+
+
+ <li class="header">Part XI - GeoSpatial functions</li>
+
+
+
+ <li class="chapter " data-level="11.1" data-path="../geospatial/latlon.html">
+
+ <a href="../geospatial/latlon.html">
+
+
+ <b>11.1.</b>
+
+ Lat/Lon functions
+
+ </a>
+
+
+
+ </li>
+
+
+
+
+ <li class="header">Part XII - Hivemall on Spark</li>
+
+
+
+ <li class="chapter " data-level="12.1" data-path="../spark/getting_started/">
+
+ <a href="../spark/getting_started/">
+
+
+ <b>12.1.</b>
+
+ Getting Started
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="12.1.1" data-path="../spark/getting_started/installation.html">
+
+ <a href="../spark/getting_started/installation.html">
+
+
+ <b>12.1.1.</b>
+
+ Installation
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+ <li class="chapter " data-level="12.2" data-path="../spark/binaryclass/">
+
+ <a href="../spark/binaryclass/">
+
+
+ <b>12.2.</b>
+
+ Binary Classification
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="12.2.1" data-path="../spark/binaryclass/a9a_df.html">
+
+ <a href="../spark/binaryclass/a9a_df.html">
+
+
+ <b>12.2.1.</b>
+
+ a9a Tutorial for DataFrame
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+ <li class="chapter " data-level="12.3" data-path="../spark/binaryclass/">
+
+ <a href="../spark/binaryclass/">
+
+
+ <b>12.3.</b>
+
+ Regression
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="12.3.1" data-path="../spark/regression/e2006_df.html">
+
+ <a href="../spark/regression/e2006_df.html">
+
+
+ <b>12.3.1.</b>
+
+ E2006-tfidf regression Tutorial for DataFrame
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+ <li class="chapter " data-level="12.4" data-path="../spark/misc/misc.html">
+
+ <a href="../spark/misc/misc.html">
+
+
+ <b>12.4.</b>
+
+ Generic features
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="12.4.1" data-path="../spark/misc/topk_join.html">
+
+ <a href="../spark/misc/topk_join.html">
+
+
+ <b>12.4.1.</b>
+
+ Top-k Join processing
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="12.4.2" data-path="../spark/misc/functions.html">
+
+ <a href="../spark/misc/functions.html">
+
+
+ <b>12.4.2.</b>
+
+ Other utility functions
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+
+
+
+ <li class="header">Part XIII - Hivemall on Docker</li>
+
+
+
+ <li class="chapter " data-level="13.1" data-path="../docker/getting_started.html">
+
+ <a href="../docker/getting_started.html">
+
+
+ <b>13.1.</b>
+
+ Getting Started
+
+ </a>
+
+
+
+ </li>
+
+
+
+
+ <li class="header">Part XIV - External References</li>
+
+
+
+ <li class="chapter " data-level="14.1" >
+
+ <a target="_blank" href="https://github.com/maropu/hivemall-spark">
+
+
+ <b>14.1.</b>
+
+ Hivemall on Apache Spark
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="14.2" >
+
+ <a target="_blank" href="https://github.com/daijyc/hivemall/wiki/PigHome">
+
+
+ <b>14.2.</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 Vectorization</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.
+-->
+<h2 id="feature-vectorization">Feature Vectorization</h2>
+<p><code>array<string> vectorize_feature(array<string> featureNames, ...)</code> is useful to generate a feature vector for each row, from a table.</p>
+<pre><code class="lang-sql">select vectorize_features(array("a","b"),"0.2","0.3") from dual;
+>["a:0.2","b:0.3"]
+
+-- avoid zero weight
+select vectorize_features(array("a","b"),"0.2",0) from dual;
+> ["a:0.2"]
+
+-- true boolean value is treated as 1.0 (a categorical value w/ its column name)
+select vectorize_features(array("a","b","bool"),0.2,0.3,true) from dual;
+> ["a:0.2","b:0.3","bool:1.0"]
+
+-- an example to generate feature vectors from table
+select * from dual;
+> 1
+select vectorize_features(array("a"),*) from dual;
+> ["a:1.0"]
+
+-- has categorical feature
+select vectorize_features(array("a","b","wheather"),"0.2","0.3","sunny") from dual;
+> ["a:0.2","b:0.3","whether#sunny"]
+</code></pre>
+<pre><code class="lang-sql"><span class="hljs-keyword">select</span>
+ <span class="hljs-keyword">id</span>,
+ vectorize_features(
+ <span class="hljs-built_in">array</span>(<span class="hljs-string">"age"</span>,<span class="hljs-string">"job"</span>,<span class="hljs-string">"marital"</span>,<span class="hljs-string">"education"</span>,<span class="hljs-string">"default"</span>,<span class="hljs-string">"balance"</span>,<span class="hljs-string">"housing"</span>,<span class="hljs-string">"loan"</span>,<span class="hljs-string">"contact"</span>,<span class="hljs-string">"day"</span>,<span class="hljs-string">"month"</span>,<span class="hljs-string">"duration"</span>,<span class="hljs-string">"campaign"</span>,<span class="hljs-string">"pdays"</span>,<span class="hljs-string">"previous"</span>,<span class="hljs-string">"poutcome"</span>),
+ age,job,marital,education,<span class="hljs-keyword">default</span>,balance,housing,loan,contact,<span class="hljs-keyword">day</span>,<span class="hljs-keyword">month</span>,<span class="hljs-keyword">duration</span>,campaign,pdays,previous,poutcome
+ ) <span class="hljs-keyword">as</span> features,
+ y
+<span class="hljs-keyword">from</span>
+ train
+<span class="hljs-keyword">limit</span> <span class="hljs-number">2</span>;
+</code></pre>
+<blockquote>
+<p>1 ["age:39.0","job#blue-collar","marital#married","education#secondary","default#no","balance:1756.0","housing#yes","loan#no","contact#cellular","day:3.0","month#apr","duration:939.0","campaign:1.0","pdays:-1.0","poutcome#unknown"] 1
+2 ["age:51.0","job#entrepreneur","marital#married","education#primary","default#no","balance:1443.0","housing#no","loan#no","contact#cellular","day:18.0","month#feb","duration:172.0","campaign:10.0","pdays:-1.0","poutcome#unknown"] 1</p>
+</blockquote>
+<p><div id="page-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">
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+ </div>
+
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+
+
+ <script src="../gitbook/gitbook-plugin-fontsettings/fontsettings.js"></script>
+
+
+
+ <script src="../gitbook/gitbook-plugin-theme-api/theme-api.js"></script>
+
+
+
+ </body>
+</html>
+
[19/19] incubator-hivemall-site git commit: Added feature binning
documentation
Posted by my...@apache.org.
Added feature binning documentation
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/15b9991a
Tree: http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/tree/15b9991a
Diff: http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/diff/15b9991a
Branch: refs/heads/asf-site
Commit: 15b9991a5e1fdfd6a58761f008687386cf5d8261
Parents: ceeebce
Author: myui <yu...@gmail.com>
Authored: Mon May 8 18:00:39 2017 +0900
Committer: myui <yu...@gmail.com>
Committed: Mon May 8 18:00:39 2017 +0900
----------------------------------------------------------------------
userguide/anomaly/changefinder.html | 61 +-
userguide/anomaly/lof.html | 61 +-
userguide/anomaly/sst.html | 61 +-
userguide/binaryclass/a9a.html | 61 +-
userguide/binaryclass/a9a_dataset.html | 61 +-
userguide/binaryclass/a9a_lr.html | 61 +-
userguide/binaryclass/a9a_minibatch.html | 61 +-
userguide/binaryclass/kdd2010a.html | 61 +-
userguide/binaryclass/kdd2010a_dataset.html | 61 +-
userguide/binaryclass/kdd2010a_scw.html | 61 +-
userguide/binaryclass/kdd2010b.html | 61 +-
userguide/binaryclass/kdd2010b_arow.html | 61 +-
userguide/binaryclass/kdd2010b_dataset.html | 61 +-
userguide/binaryclass/news20.html | 61 +-
userguide/binaryclass/news20_adagrad.html | 61 +-
userguide/binaryclass/news20_dataset.html | 61 +-
userguide/binaryclass/news20_pa.html | 61 +-
userguide/binaryclass/news20_scw.html | 61 +-
userguide/binaryclass/titanic_rf.html | 61 +-
userguide/binaryclass/webspam.html | 61 +-
userguide/binaryclass/webspam_dataset.html | 61 +-
userguide/binaryclass/webspam_scw.html | 61 +-
userguide/clustering/lda.html | 61 +-
userguide/clustering/plsa.html | 61 +-
userguide/docker/getting_started.html | 69 +-
userguide/eval/auc.html | 61 +-
userguide/eval/datagen.html | 61 +-
userguide/eval/lr_datagen.html | 61 +-
userguide/eval/rank.html | 61 +-
userguide/eval/stat_eval.html | 63 +-
userguide/ft_engineering/binning.html | 2379 ++++++++++++++++++
userguide/ft_engineering/feature_selection.html | 2329 -----------------
userguide/ft_engineering/ft_trans.html | 63 +-
userguide/ft_engineering/hashing.html | 63 +-
userguide/ft_engineering/quantify.html | 65 +-
userguide/ft_engineering/scaling.html | 71 +-
userguide/ft_engineering/selection.html | 2344 +++++++++++++++++
userguide/ft_engineering/tfidf.html | 67 +-
userguide/ft_engineering/vectorization.html | 2175 ++++++++++++++++
userguide/ft_engineering/vectorizer.html | 2159 ----------------
userguide/geospatial/latlon.html | 61 +-
userguide/getting_started/index.html | 61 +-
userguide/getting_started/input-format.html | 61 +-
userguide/getting_started/installation.html | 61 +-
.../getting_started/permanent-functions.html | 61 +-
userguide/index.html | 61 +-
userguide/misc/generic_funcs.html | 61 +-
userguide/misc/tokenizer.html | 61 +-
userguide/misc/topk.html | 61 +-
userguide/multiclass/iris.html | 61 +-
userguide/multiclass/iris_dataset.html | 61 +-
userguide/multiclass/iris_randomforest.html | 61 +-
userguide/multiclass/iris_scw.html | 61 +-
userguide/multiclass/news20.html | 61 +-
userguide/multiclass/news20_dataset.html | 61 +-
userguide/multiclass/news20_ensemble.html | 61 +-
.../multiclass/news20_one-vs-the-rest.html | 61 +-
.../news20_one-vs-the-rest_dataset.html | 61 +-
userguide/multiclass/news20_pa.html | 61 +-
userguide/multiclass/news20_scw.html | 61 +-
userguide/recommend/cf.html | 61 +-
userguide/recommend/item_based_cf.html | 61 +-
userguide/recommend/movielens.html | 61 +-
userguide/recommend/movielens_cv.html | 61 +-
userguide/recommend/movielens_dataset.html | 61 +-
userguide/recommend/movielens_fm.html | 61 +-
userguide/recommend/movielens_mf.html | 61 +-
userguide/recommend/news20.html | 61 +-
userguide/recommend/news20_bbit_minhash.html | 61 +-
userguide/recommend/news20_jaccard.html | 61 +-
userguide/recommend/news20_knn.html | 61 +-
userguide/regression/e2006.html | 61 +-
userguide/regression/e2006_arow.html | 61 +-
userguide/regression/e2006_dataset.html | 61 +-
userguide/regression/kddcup12tr2.html | 61 +-
userguide/regression/kddcup12tr2_adagrad.html | 61 +-
userguide/regression/kddcup12tr2_dataset.html | 61 +-
userguide/regression/kddcup12tr2_lr.html | 61 +-
.../regression/kddcup12tr2_lr_amplify.html | 61 +-
userguide/search_index.json | 2 +-
userguide/sitemap.xml | 5 +-
userguide/spark/binaryclass/a9a_df.html | 61 +-
userguide/spark/binaryclass/index.html | 61 +-
userguide/spark/getting_started/index.html | 61 +-
.../spark/getting_started/installation.html | 61 +-
userguide/spark/misc/functions.html | 61 +-
userguide/spark/misc/misc.html | 61 +-
userguide/spark/misc/topk_join.html | 61 +-
userguide/spark/regression/e2006_df.html | 61 +-
userguide/tips/addbias.html | 61 +-
userguide/tips/emr.html | 61 +-
userguide/tips/ensemble_learning.html | 61 +-
userguide/tips/general_tips.html | 61 +-
userguide/tips/hadoop_tuning.html | 61 +-
userguide/tips/index.html | 61 +-
userguide/tips/mixserver.html | 61 +-
userguide/tips/rand_amplify.html | 61 +-
userguide/tips/rowid.html | 61 +-
userguide/tips/rt_prediction.html | 61 +-
userguide/troubleshooting/asterisk.html | 61 +-
userguide/troubleshooting/index.html | 61 +-
.../troubleshooting/mapjoin_classcastex.html | 61 +-
.../troubleshooting/mapjoin_task_error.html | 61 +-
userguide/troubleshooting/num_mappers.html | 61 +-
userguide/troubleshooting/oom.html | 61 +-
105 files changed, 10648 insertions(+), 6757 deletions(-)
----------------------------------------------------------------------
http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/15b9991a/userguide/anomaly/changefinder.html
----------------------------------------------------------------------
diff --git a/userguide/anomaly/changefinder.html b/userguide/anomaly/changefinder.html
index 93449fe..df18423 100644
--- a/userguide/anomaly/changefinder.html
+++ b/userguide/anomaly/changefinder.html
@@ -568,14 +568,14 @@
</li>
- <li class="chapter " data-level="3.3" data-path="../ft_engineering/tfidf.html">
+ <li class="chapter " data-level="3.3" data-path="../ft_engineering/selection.html">
- <a href="../ft_engineering/tfidf.html">
+ <a href="../ft_engineering/selection.html">
<b>3.3.</b>
- TF-IDF calculation
+ Feature Selection
</a>
@@ -583,30 +583,29 @@
</li>
- <li class="chapter " data-level="3.4" data-path="../ft_engineering/ft_trans.html">
+ <li class="chapter " data-level="3.4" data-path="../ft_engineering/binning.html">
- <a href="../ft_engineering/ft_trans.html">
+ <a href="../ft_engineering/binning.html">
<b>3.4.</b>
- FEATURE TRANSFORMATION
+ Feature Binning
</a>
- <ul class="articles">
-
+ </li>
- <li class="chapter " data-level="3.4.1" data-path="../ft_engineering/vectorizer.html">
+ <li class="chapter " data-level="3.5" data-path="../ft_engineering/tfidf.html">
- <a href="../ft_engineering/vectorizer.html">
+ <a href="../ft_engineering/tfidf.html">
- <b>3.4.1.</b>
+ <b>3.5.</b>
- Vectorize Features
+ TF-IDF Calculation
</a>
@@ -614,34 +613,45 @@
</li>
- <li class="chapter " data-level="3.4.2" data-path="../ft_engineering/quantify.html">
+ <li class="chapter " data-level="3.6" data-path="../ft_engineering/ft_trans.html">
- <a href="../ft_engineering/quantify.html">
+ <a href="../ft_engineering/ft_trans.html">
- <b>3.4.2.</b>
+ <b>3.6.</b>
- Quantify non-number features
+ FEATURE TRANSFORMATION
</a>
- </li>
+ <ul class="articles">
+
+ <li class="chapter " data-level="3.6.1" data-path="../ft_engineering/vectorization.html">
+
+ <a href="../ft_engineering/vectorization.html">
+
+
+ <b>3.6.1.</b>
+
+ Feature Vectorization
+
+ </a>
+
- </ul>
</li>
- <li class="chapter " data-level="3.5" data-path="../ft_engineering/feature_selection.html">
+ <li class="chapter " data-level="3.6.2" data-path="../ft_engineering/quantify.html">
- <a href="../ft_engineering/feature_selection.html">
+ <a href="../ft_engineering/quantify.html">
- <b>3.5.</b>
+ <b>3.6.2.</b>
- Feature selection
+ Quantify non-number features
</a>
@@ -650,6 +660,11 @@
</li>
+ </ul>
+
+ </li>
+
+
<li class="header">Part IV - Evaluation</li>
@@ -2238,7 +2253,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
<script>
var gitbook = gitbook || [];
gitbook.push(function() {
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http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/15b9991a/userguide/anomaly/lof.html
----------------------------------------------------------------------
diff --git a/userguide/anomaly/lof.html b/userguide/anomaly/lof.html
index 4e64061..e20adce 100644
--- a/userguide/anomaly/lof.html
+++ b/userguide/anomaly/lof.html
@@ -568,14 +568,14 @@
</li>
- <li class="chapter " data-level="3.3" data-path="../ft_engineering/tfidf.html">
+ <li class="chapter " data-level="3.3" data-path="../ft_engineering/selection.html">
- <a href="../ft_engineering/tfidf.html">
+ <a href="../ft_engineering/selection.html">
<b>3.3.</b>
- TF-IDF calculation
+ Feature Selection
</a>
@@ -583,30 +583,29 @@
</li>
- <li class="chapter " data-level="3.4" data-path="../ft_engineering/ft_trans.html">
+ <li class="chapter " data-level="3.4" data-path="../ft_engineering/binning.html">
- <a href="../ft_engineering/ft_trans.html">
+ <a href="../ft_engineering/binning.html">
<b>3.4.</b>
- FEATURE TRANSFORMATION
+ Feature Binning
</a>
- <ul class="articles">
-
+ </li>
- <li class="chapter " data-level="3.4.1" data-path="../ft_engineering/vectorizer.html">
+ <li class="chapter " data-level="3.5" data-path="../ft_engineering/tfidf.html">
- <a href="../ft_engineering/vectorizer.html">
+ <a href="../ft_engineering/tfidf.html">
- <b>3.4.1.</b>
+ <b>3.5.</b>
- Vectorize Features
+ TF-IDF Calculation
</a>
@@ -614,34 +613,45 @@
</li>
- <li class="chapter " data-level="3.4.2" data-path="../ft_engineering/quantify.html">
+ <li class="chapter " data-level="3.6" data-path="../ft_engineering/ft_trans.html">
- <a href="../ft_engineering/quantify.html">
+ <a href="../ft_engineering/ft_trans.html">
- <b>3.4.2.</b>
+ <b>3.6.</b>
- Quantify non-number features
+ FEATURE TRANSFORMATION
</a>
- </li>
+ <ul class="articles">
+
+ <li class="chapter " data-level="3.6.1" data-path="../ft_engineering/vectorization.html">
+
+ <a href="../ft_engineering/vectorization.html">
+
+
+ <b>3.6.1.</b>
+
+ Feature Vectorization
+
+ </a>
+
- </ul>
</li>
- <li class="chapter " data-level="3.5" data-path="../ft_engineering/feature_selection.html">
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- <a href="../ft_engineering/feature_selection.html">
+ <a href="../ft_engineering/quantify.html">
- <b>3.5.</b>
+ <b>3.6.2.</b>
- Feature selection
+ Quantify non-number features
</a>
@@ -650,6 +660,11 @@
</li>
+ </ul>
+
+ </li>
+
+
<li class="header">Part IV - Evaluation</li>
@@ -2216,7 +2231,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
<script>
var gitbook = gitbook || [];
gitbook.push(function() {
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http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/15b9991a/userguide/binaryclass/kdd2010a.html
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diff --git a/userguide/binaryclass/kdd2010a.html b/userguide/binaryclass/kdd2010a.html
index 33aa918..eed6a98 100644
--- a/userguide/binaryclass/kdd2010a.html
+++ b/userguide/binaryclass/kdd2010a.html
@@ -568,14 +568,14 @@
</li>
- <li class="chapter " data-level="3.3" data-path="../ft_engineering/tfidf.html">
+ <li class="chapter " data-level="3.3" data-path="../ft_engineering/selection.html">
- <a href="../ft_engineering/tfidf.html">
+ <a href="../ft_engineering/selection.html">
<b>3.3.</b>
- TF-IDF calculation
+ Feature Selection
</a>
@@ -583,30 +583,29 @@
</li>
- <li class="chapter " data-level="3.4" data-path="../ft_engineering/ft_trans.html">
+ <li class="chapter " data-level="3.4" data-path="../ft_engineering/binning.html">
- <a href="../ft_engineering/ft_trans.html">
+ <a href="../ft_engineering/binning.html">
<b>3.4.</b>
- FEATURE TRANSFORMATION
+ Feature Binning
</a>
- <ul class="articles">
-
+ </li>
- <li class="chapter " data-level="3.4.1" data-path="../ft_engineering/vectorizer.html">
+ <li class="chapter " data-level="3.5" data-path="../ft_engineering/tfidf.html">
- <a href="../ft_engineering/vectorizer.html">
+ <a href="../ft_engineering/tfidf.html">
- <b>3.4.1.</b>
+ <b>3.5.</b>
- Vectorize Features
+ TF-IDF Calculation
</a>
@@ -614,34 +613,45 @@
</li>
- <li class="chapter " data-level="3.4.2" data-path="../ft_engineering/quantify.html">
+ <li class="chapter " data-level="3.6" data-path="../ft_engineering/ft_trans.html">
- <a href="../ft_engineering/quantify.html">
+ <a href="../ft_engineering/ft_trans.html">
- <b>3.4.2.</b>
+ <b>3.6.</b>
- Quantify non-number features
+ FEATURE TRANSFORMATION
</a>
- </li>
+ <ul class="articles">
+
+ <li class="chapter " data-level="3.6.1" data-path="../ft_engineering/vectorization.html">
+
+ <a href="../ft_engineering/vectorization.html">
+
+
+ <b>3.6.1.</b>
+
+ Feature Vectorization
+
+ </a>
+
- </ul>
</li>
- <li class="chapter " data-level="3.5" data-path="../ft_engineering/feature_selection.html">
+ <li class="chapter " data-level="3.6.2" data-path="../ft_engineering/quantify.html">
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+ <a href="../ft_engineering/quantify.html">
- <b>3.5.</b>
+ <b>3.6.2.</b>
- Feature selection
+ Quantify non-number features
</a>
@@ -650,6 +660,11 @@
</li>
+ </ul>
+
+ </li>
+
+
<li class="header">Part IV - Evaluation</li>
@@ -2047,7 +2062,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
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[14/19] incubator-hivemall-site git commit: Added feature binning
documentation
Posted by my...@apache.org.
http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/15b9991a/userguide/ft_engineering/feature_selection.html
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diff --git a/userguide/ft_engineering/feature_selection.html b/userguide/ft_engineering/feature_selection.html
deleted file mode 100644
index ab2effd..0000000
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- <input type="text" placeholder="Type to search" />
-</div>
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-
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-
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- <li>
- <a href="http://hivemall.incubator.apache.org/" target="_blank" class="custom-link"><i class="fa fa-home"></i> Home</a>
- </li>
-
-
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-
- <li class="divider"></li>
-
-
-
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- <li class="header">TABLE OF CONTENTS</li>
-
-
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- <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">
-
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-
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- <b>1.4.</b>
-
- General Hive/Hadoop tips
-
- </a>
-
-
-
- <ul class="articles">
-
-
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- <b>1.4.1.</b>
-
- Adding rowid for each row
-
- </a>
-
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-
- Hadoop tuning for Hivemall
-
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-
-
-
- </li>
-
-
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-
- </li>
-
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-
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-
-
- <b>1.5.</b>
-
- Troubleshooting
-
- </a>
-
-
-
- <ul class="articles">
-
-
- <li class="chapter " data-level="1.5.1" data-path="../troubleshooting/oom.html">
-
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-
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- <b>1.5.1.</b>
-
- OutOfMemoryError in training
-
- </a>
-
-
-
- </li>
-
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-
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-
- <b>1.5.2.</b>
-
- SemanticException Generate Map Join Task Error: Cannot serialize object
-
- </a>
-
-
-
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-
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-
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- <b>1.5.3.</b>
-
- Asterisk argument for UDTF does not work
-
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-
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-
- </li>
-
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-
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-
- 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">
-
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-
-
- <b>1.5.5.</b>
-
- Map-side Join causes ClassCastException on Tez
-
- </a>
-
-
-
- </li>
-
-
- </ul>
-
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-
-
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-
- <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="tfidf.html">
-
- <a href="tfidf.html">
-
-
- <b>3.3.</b>
-
- TF-IDF calculation
-
- </a>
-
-
-
- </li>
-
- <li class="chapter " data-level="3.4" data-path="ft_trans.html">
-
- <a href="ft_trans.html">
-
-
- <b>3.4.</b>
-
- FEATURE TRANSFORMATION
-
- </a>
-
-
-
- <ul class="articles">
-
-
- <li class="chapter " data-level="3.4.1" data-path="vectorizer.html">
-
- <a href="vectorizer.html">
-
-
- <b>3.4.1.</b>
-
- Vectorize Features
-
- </a>
-
-
-
- </li>
-
- <li class="chapter " data-level="3.4.2" data-path="quantify.html">
-
- <a href="quantify.html">
-
-
- <b>3.4.2.</b>
-
- Quantify non-number features
-
- </a>
-
-
-
- </li>
-
-
- </ul>
-
- </li>
-
- <li class="chapter active" data-level="3.5" data-path="feature_selection.html">
-
- <a href="feature_selection.html">
-
-
- <b>3.5.</b>
-
- Feature selection
-
- </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 - Binary classification</li>
-
-
-
- <li class="chapter " data-level="5.1" data-path="../binaryclass/a9a.html">
-
- <a href="../binaryclass/a9a.html">
-
-
- <b>5.1.</b>
-
- a9a Tutorial
-
- </a>
-
-
-
- <ul class="articles">
-
-
- <li class="chapter " data-level="5.1.1" data-path="../binaryclass/a9a_dataset.html">
-
- <a href="../binaryclass/a9a_dataset.html">
-
-
- <b>5.1.1.</b>
-
- Data preparation
-
- </a>
-
-
-
- </li>
-
- <li class="chapter " data-level="5.1.2" data-path="../binaryclass/a9a_lr.html">
-
- <a href="../binaryclass/a9a_lr.html">
-
-
- <b>5.1.2.</b>
-
- Logistic Regression
-
- </a>
-
-
-
- </li>
-
- <li class="chapter " data-level="5.1.3" data-path="../binaryclass/a9a_minibatch.html">
-
- <a href="../binaryclass/a9a_minibatch.html">
-
-
- <b>5.1.3.</b>
-
- Mini-batch Gradient Descent
-
- </a>
-
-
-
- </li>
-
-
- </ul>
-
- </li>
-
- <li class="chapter " data-level="5.2" data-path="../binaryclass/news20.html">
-
- <a href="../binaryclass/news20.html">
-
-
- <b>5.2.</b>
-
- News20 Tutorial
-
- </a>
-
-
-
- <ul class="articles">
-
-
- <li class="chapter " data-level="5.2.1" data-path="../binaryclass/news20_dataset.html">
-
- <a href="../binaryclass/news20_dataset.html">
-
-
- <b>5.2.1.</b>
-
- Data preparation
-
- </a>
-
-
-
- </li>
-
- <li class="chapter " data-level="5.2.2" data-path="../binaryclass/news20_pa.html">
-
- <a href="../binaryclass/news20_pa.html">
-
-
- <b>5.2.2.</b>
-
- Perceptron, Passive Aggressive
-
- </a>
-
-
-
- </li>
-
- <li class="chapter " data-level="5.2.3" data-path="../binaryclass/news20_scw.html">
-
- <a href="../binaryclass/news20_scw.html">
-
-
- <b>5.2.3.</b>
-
- CW, AROW, SCW
-
- </a>
-
-
-
- </li>
-
- <li class="chapter " data-level="5.2.4" data-path="../binaryclass/news20_adagrad.html">
-
- <a href="../binaryclass/news20_adagrad.html">
-
-
- <b>5.2.4.</b>
-
- AdaGradRDA, AdaGrad, AdaDelta
-
- </a>
-
-
-
- </li>
-
-
- </ul>
-
- </li>
-
- <li class="chapter " data-level="5.3" data-path="../binaryclass/kdd2010a.html">
-
- <a href="../binaryclass/kdd2010a.html">
-
-
- <b>5.3.</b>
-
- KDD2010a Tutorial
-
- </a>
-
-
-
- <ul class="articles">
-
-
- <li class="chapter " data-level="5.3.1" data-path="../binaryclass/kdd2010a_dataset.html">
-
- <a href="../binaryclass/kdd2010a_dataset.html">
-
-
- <b>5.3.1.</b>
-
- Data preparation
-
- </a>
-
-
-
- </li>
-
- <li class="chapter " data-level="5.3.2" data-path="../binaryclass/kdd2010a_scw.html">
-
- <a href="../binaryclass/kdd2010a_scw.html">
-
-
- <b>5.3.2.</b>
-
- PA, CW, AROW, SCW
-
- </a>
-
-
-
- </li>
-
-
- </ul>
-
- </li>
-
- <li class="chapter " data-level="5.4" data-path="../binaryclass/kdd2010b.html">
-
- <a href="../binaryclass/kdd2010b.html">
-
-
- <b>5.4.</b>
-
- KDD2010b Tutorial
-
- </a>
-
-
-
- <ul class="articles">
-
-
- <li class="chapter " data-level="5.4.1" data-path="../binaryclass/kdd2010b_dataset.html">
-
- <a href="../binaryclass/kdd2010b_dataset.html">
-
-
- <b>5.4.1.</b>
-
- Data preparation
-
- </a>
-
-
-
- </li>
-
- <li class="chapter " data-level="5.4.2" data-path="../binaryclass/kdd2010b_arow.html">
-
- <a href="../binaryclass/kdd2010b_arow.html">
-
-
- <b>5.4.2.</b>
-
- AROW
-
- </a>
-
-
-
- </li>
-
-
- </ul>
-
- </li>
-
- <li class="chapter " data-level="5.5" data-path="../binaryclass/webspam.html">
-
- <a href="../binaryclass/webspam.html">
-
-
- <b>5.5.</b>
-
- Webspam Tutorial
-
- </a>
-
-
-
- <ul class="articles">
-
-
- <li class="chapter " data-level="5.5.1" data-path="../binaryclass/webspam_dataset.html">
-
- <a href="../binaryclass/webspam_dataset.html">
-
-
- <b>5.5.1.</b>
-
- Data pareparation
-
- </a>
-
-
-
- </li>
-
- <li class="chapter " data-level="5.5.2" data-path="../binaryclass/webspam_scw.html">
-
- <a href="../binaryclass/webspam_scw.html">
-
-
- <b>5.5.2.</b>
-
- PA1, AROW, SCW
-
- </a>
-
-
-
- </li>
-
-
- </ul>
-
- </li>
-
- <li class="chapter " data-level="5.6" data-path="../binaryclass/titanic_rf.html">
-
- <a href="../binaryclass/titanic_rf.html">
-
-
- <b>5.6.</b>
-
- Kaggle Titanic Tutorial
-
- </a>
-
-
-
- </li>
-
-
-
-
- <li class="header">Part VI - Multiclass classification</li>
-
-
-
- <li class="chapter " data-level="6.1" data-path="../multiclass/news20.html">
-
- <a href="../multiclass/news20.html">
-
-
- <b>6.1.</b>
-
- News20 Multiclass Tutorial
-
- </a>
-
-
-
- <ul class="articles">
-
-
- <li class="chapter " data-level="6.1.1" data-path="../multiclass/news20_dataset.html">
-
- <a href="../multiclass/news20_dataset.html">
-
-
- <b>6.1.1.</b>
-
- Data preparation
-
- </a>
-
-
-
- </li>
-
- <li class="chapter " data-level="6.1.2" data-path="../multiclass/news20_one-vs-the-rest_dataset.html">
-
- <a href="../multiclass/news20_one-vs-the-rest_dataset.html">
-
-
- <b>6.1.2.</b>
-
- Data preparation for one-vs-the-rest classifiers
-
- </a>
-
-
-
- </li>
-
- <li class="chapter " data-level="6.1.3" data-path="../multiclass/news20_pa.html">
-
- <a href="../multiclass/news20_pa.html">
-
-
- <b>6.1.3.</b>
-
- PA
-
- </a>
-
-
-
- </li>
-
- <li class="chapter " data-level="6.1.4" data-path="../multiclass/news20_scw.html">
-
- <a href="../multiclass/news20_scw.html">
-
-
- <b>6.1.4.</b>
-
- CW, AROW, SCW
-
- </a>
-
-
-
- </li>
-
- <li class="chapter " data-level="6.1.5" data-path="../multiclass/news20_ensemble.html">
-
- <a href="../multiclass/news20_ensemble.html">
-
-
- <b>6.1.5.</b>
-
- Ensemble learning
-
- </a>
-
-
-
- </li>
-
- <li class="chapter " data-level="6.1.6" data-path="../multiclass/news20_one-vs-the-rest.html">
-
- <a href="../multiclass/news20_one-vs-the-rest.html">
-
-
- <b>6.1.6.</b>
-
- one-vs-the-rest classifier
-
- </a>
-
-
-
- </li>
-
-
- </ul>
-
- </li>
-
- <li class="chapter " data-level="6.2" data-path="../multiclass/iris.html">
-
- <a href="../multiclass/iris.html">
-
-
- <b>6.2.</b>
-
- Iris Tutorial
-
- </a>
-
-
-
- <ul class="articles">
-
-
- <li class="chapter " data-level="6.2.1" data-path="../multiclass/iris_dataset.html">
-
- <a href="../multiclass/iris_dataset.html">
-
-
- <b>6.2.1.</b>
-
- Data preparation
-
- </a>
-
-
-
- </li>
-
- <li class="chapter " data-level="6.2.2" data-path="../multiclass/iris_scw.html">
-
- <a href="../multiclass/iris_scw.html">
-
-
- <b>6.2.2.</b>
-
- SCW
-
- </a>
-
-
-
- </li>
-
- <li class="chapter " data-level="6.2.3" data-path="../multiclass/iris_randomforest.html">
-
- <a href="../multiclass/iris_randomforest.html">
-
-
- <b>6.2.3.</b>
-
- RandomForest
-
- </a>
-
-
-
- </li>
-
-
- </ul>
-
- </li>
-
-
-
-
- <li class="header">Part VII - Regression</li>
-
-
-
- <li class="chapter " data-level="7.1" data-path="../regression/e2006.html">
-
- <a href="../regression/e2006.html">
-
-
- <b>7.1.</b>
-
- E2006-tfidf regression Tutorial
-
- </a>
-
-
-
- <ul class="articles">
-
-
- <li class="chapter " data-level="7.1.1" data-path="../regression/e2006_dataset.html">
-
- <a href="../regression/e2006_dataset.html">
-
-
- <b>7.1.1.</b>
-
- Data preparation
-
- </a>
-
-
-
- </li>
-
- <li class="chapter " data-level="7.1.2" data-path="../regression/e2006_arow.html">
-
- <a href="../regression/e2006_arow.html">
-
-
- <b>7.1.2.</b>
-
- Passive Aggressive, AROW
-
- </a>
-
-
-
- </li>
-
-
- </ul>
-
- </li>
-
- <li class="chapter " data-level="7.2" data-path="../regression/kddcup12tr2.html">
-
- <a href="../regression/kddcup12tr2.html">
-
-
- <b>7.2.</b>
-
- KDDCup 2012 track 2 CTR prediction Tutorial
-
- </a>
-
-
-
- <ul class="articles">
-
-
- <li class="chapter " data-level="7.2.1" data-path="../regression/kddcup12tr2_dataset.html">
-
- <a href="../regression/kddcup12tr2_dataset.html">
-
-
- <b>7.2.1.</b>
-
- Data preparation
-
- </a>
-
-
-
- </li>
-
- <li class="chapter " data-level="7.2.2" data-path="../regression/kddcup12tr2_lr.html">
-
- <a href="../regression/kddcup12tr2_lr.html">
-
-
- <b>7.2.2.</b>
-
- Logistic Regression, Passive Aggressive
-
- </a>
-
-
-
- </li>
-
- <li class="chapter " data-level="7.2.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
-
- <a href="../regression/kddcup12tr2_lr_amplify.html">
-
-
- <b>7.2.3.</b>
-
- Logistic Regression with Amplifier
-
- </a>
-
-
-
- </li>
-
- <li class="chapter " data-level="7.2.4" data-path="../regression/kddcup12tr2_adagrad.html">
-
- <a href="../regression/kddcup12tr2_adagrad.html">
-
-
- <b>7.2.4.</b>
-
- AdaGrad, AdaDelta
-
- </a>
-
-
-
- </li>
-
-
- </ul>
-
- </li>
-
-
-
-
- <li class="header">Part VIII - Recommendation</li>
-
-
-
- <li class="chapter " data-level="8.1" data-path="../recommend/cf.html">
-
- <a href="../recommend/cf.html">
-
-
- <b>8.1.</b>
-
- Collaborative Filtering
-
- </a>
-
-
-
- <ul class="articles">
-
-
- <li class="chapter " data-level="8.1.1" data-path="../recommend/item_based_cf.html">
-
- <a href="../recommend/item_based_cf.html">
-
-
- <b>8.1.1.</b>
-
- Item-based Collaborative Filtering
-
- </a>
-
-
-
- </li>
-
-
- </ul>
-
- </li>
-
- <li class="chapter " data-level="8.2" data-path="../recommend/news20.html">
-
- <a href="../recommend/news20.html">
-
-
- <b>8.2.</b>
-
- News20 related article recommendation Tutorial
-
- </a>
-
-
-
- <ul class="articles">
-
-
- <li class="chapter " data-level="8.2.1" data-path="../multiclass/news20_dataset.html">
-
- <a href="../multiclass/news20_dataset.html">
-
-
- <b>8.2.1.</b>
-
- Data preparation
-
- </a>
-
-
-
- </li>
-
- <li class="chapter " data-level="8.2.2" data-path="../recommend/news20_jaccard.html">
-
- <a href="../recommend/news20_jaccard.html">
-
-
- <b>8.2.2.</b>
-
- LSH/Minhash and Jaccard Similarity
-
- </a>
-
-
-
- </li>
-
- <li class="chapter " data-level="8.2.3" data-path="../recommend/news20_knn.html">
-
- <a href="../recommend/news20_knn.html">
-
-
- <b>8.2.3.</b>
-
- LSH/Minhash and Brute-Force Search
-
- </a>
-
-
-
- </li>
-
- <li class="chapter " data-level="8.2.4" data-path="../recommend/news20_bbit_minhash.html">
-
- <a href="../recommend/news20_bbit_minhash.html">
-
-
- <b>8.2.4.</b>
-
- kNN search using b-Bits Minhash
-
- </a>
-
-
-
- </li>
-
-
- </ul>
-
- </li>
-
- <li class="chapter " data-level="8.3" data-path="../recommend/movielens.html">
-
- <a href="../recommend/movielens.html">
-
-
- <b>8.3.</b>
-
- MovieLens movie recommendation Tutorial
-
- </a>
-
-
-
- <ul class="articles">
-
-
- <li class="chapter " data-level="8.3.1" data-path="../recommend/movielens_dataset.html">
-
- <a href="../recommend/movielens_dataset.html">
-
-
- <b>8.3.1.</b>
-
- Data preparation
-
- </a>
-
-
-
- </li>
-
- <li class="chapter " data-level="8.3.2" data-path="../recommend/movielens_mf.html">
-
- <a href="../recommend/movielens_mf.html">
-
-
- <b>8.3.2.</b>
-
- Matrix Factorization
-
- </a>
-
-
-
- </li>
-
- <li class="chapter " data-level="8.3.3" data-path="../recommend/movielens_fm.html">
-
- <a href="../recommend/movielens_fm.html">
-
-
- <b>8.3.3.</b>
-
- Factorization Machine
-
- </a>
-
-
-
- </li>
-
- <li class="chapter " data-level="8.3.4" data-path="../recommend/movielens_cv.html">
-
- <a href="../recommend/movielens_cv.html">
-
-
- <b>8.3.4.</b>
-
- 10-fold Cross Validation (Matrix Factorization)
-
- </a>
-
-
-
- </li>
-
-
- </ul>
-
- </li>
-
-
-
-
- <li class="header">Part IX - Anomaly Detection</li>
-
-
-
- <li class="chapter " data-level="9.1" data-path="../anomaly/lof.html">
-
- <a href="../anomaly/lof.html">
-
-
- <b>9.1.</b>
-
- Outlier Detection using Local Outlier Factor (LOF)
-
- </a>
-
-
-
- </li>
-
- <li class="chapter " data-level="9.2" data-path="../anomaly/sst.html">
-
- <a href="../anomaly/sst.html">
-
-
- <b>9.2.</b>
-
- Change-Point Detection using Singular Spectrum Transformation (SST)
-
- </a>
-
-
-
- </li>
-
- <li class="chapter " data-level="9.3" data-path="../anomaly/changefinder.html">
-
- <a href="../anomaly/changefinder.html">
-
-
- <b>9.3.</b>
-
- ChangeFinder: Detecting Outlier and Change-Point Simultaneously
-
- </a>
-
-
-
- </li>
-
-
-
-
- <li class="header">Part X - Clustering</li>
-
-
-
- <li class="chapter " data-level="10.1" data-path="../clustering/lda.html">
-
- <a href="../clustering/lda.html">
-
-
- <b>10.1.</b>
-
- Latent Dirichlet Allocation
-
- </a>
-
-
-
- </li>
-
- <li class="chapter " data-level="10.2" data-path="../clustering/plsa.html">
-
- <a href="../clustering/plsa.html">
-
-
- <b>10.2.</b>
-
- Probabilistic Latent Semantic Analysis
-
- </a>
-
-
-
- </li>
-
-
-
-
- <li class="header">Part XI - GeoSpatial functions</li>
-
-
-
- <li class="chapter " data-level="11.1" data-path="../geospatial/latlon.html">
-
- <a href="../geospatial/latlon.html">
-
-
- <b>11.1.</b>
-
- Lat/Lon functions
-
- </a>
-
-
-
- </li>
-
-
-
-
- <li class="header">Part XII - Hivemall on Spark</li>
-
-
-
- <li class="chapter " data-level="12.1" data-path="../spark/getting_started/">
-
- <a href="../spark/getting_started/">
-
-
- <b>12.1.</b>
-
- Getting Started
-
- </a>
-
-
-
- <ul class="articles">
-
-
- <li class="chapter " data-level="12.1.1" data-path="../spark/getting_started/installation.html">
-
- <a href="../spark/getting_started/installation.html">
-
-
- <b>12.1.1.</b>
-
- Installation
-
- </a>
-
-
-
- </li>
-
-
- </ul>
-
- </li>
-
- <li class="chapter " data-level="12.2" data-path="../spark/binaryclass/">
-
- <a href="../spark/binaryclass/">
-
-
- <b>12.2.</b>
-
- Binary Classification
-
- </a>
-
-
-
- <ul class="articles">
-
-
- <li class="chapter " data-level="12.2.1" data-path="../spark/binaryclass/a9a_df.html">
-
- <a href="../spark/binaryclass/a9a_df.html">
-
-
- <b>12.2.1.</b>
-
- a9a Tutorial for DataFrame
-
- </a>
-
-
-
- </li>
-
-
- </ul>
-
- </li>
-
- <li class="chapter " data-level="12.3" data-path="../spark/binaryclass/">
-
- <a href="../spark/binaryclass/">
-
-
- <b>12.3.</b>
-
- Regression
-
- </a>
-
-
-
- <ul class="articles">
-
-
- <li class="chapter " data-level="12.3.1" data-path="../spark/regression/e2006_df.html">
-
- <a href="../spark/regression/e2006_df.html">
-
-
- <b>12.3.1.</b>
-
- E2006-tfidf regression Tutorial for DataFrame
-
- </a>
-
-
-
- </li>
-
-
- </ul>
-
- </li>
-
- <li class="chapter " data-level="12.4" data-path="../spark/misc/misc.html">
-
- <a href="../spark/misc/misc.html">
-
-
- <b>12.4.</b>
-
- Generic features
-
- </a>
-
-
-
- <ul class="articles">
-
-
- <li class="chapter " data-level="12.4.1" data-path="../spark/misc/topk_join.html">
-
- <a href="../spark/misc/topk_join.html">
-
-
- <b>12.4.1.</b>
-
- Top-k Join processing
-
- </a>
-
-
-
- </li>
-
- <li class="chapter " data-level="12.4.2" data-path="../spark/misc/functions.html">
-
- <a href="../spark/misc/functions.html">
-
-
- <b>12.4.2.</b>
-
- Other utility functions
-
- </a>
-
-
-
- </li>
-
-
- </ul>
-
- </li>
-
-
-
-
- <li class="header">Part XIII - Hivemall on Docker</li>
-
-
-
- <li class="chapter " data-level="13.1" data-path="../docker/getting_started.html">
-
- <a href="../docker/getting_started.html">
-
-
- <b>13.1.</b>
-
- Getting Started
-
- </a>
-
-
-
- </li>
-
-
-
-
- <li class="header">Part XIV - External References</li>
-
-
-
- <li class="chapter " data-level="14.1" >
-
- <a target="_blank" href="https://github.com/maropu/hivemall-spark">
-
-
- <b>14.1.</b>
-
- Hivemall on Apache Spark
-
- </a>
-
-
-
- </li>
-
- <li class="chapter " data-level="14.2" >
-
- <a target="_blank" href="https://github.com/daijyc/hivemall/wiki/PigHome">
-
-
- <b>14.2.</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
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- <!-- Title -->
- <h1>
- <i class="fa fa-circle-o-notch fa-spin"></i>
- <a href=".." >Feature selection</a>
- </h1>
-</div>
-
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- KIND, either express or implied. See the License for the
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- under the License.
--->
-<p><a href="https://en.wikipedia.org/wiki/Feature_selection" target="_blank">Feature Selection</a> is the process of selecting a subset of relevant features for use in model construction. </p>
-<p>It is a useful technique to 1) improve prediction results by omitting redundant features, 2) to shorten training time, and 3) to know important features for prediction.</p>
-<p><em>Note: This feature is supported from Hivemall v0.5-rc.1 or later.</em></p>
-<!-- toc --><div id="toc" class="toc">
-
-<ul>
-<li><a href="#supported-feature-selection-algorithms">Supported Feature Selection algorithms</a></li>
-<li><a href="#usage">Usage</a><ul>
-<li><a href="#feature-selection-based-on-chi-square-test">Feature Selection based on Chi-square test</a></li>
-<li><a href="#feature-selection-based-on-signal-noise-ratio-snr">Feature Selection based on Signal Noise Ratio (SNR)</a></li>
-</ul>
-</li>
-<li><a href="#function-signatures">Function signatures</a><ul>
-<li><a href="#udaf-transposeanddotxarraynumber-yarraynumberarrayarraydouble">[UDAF] <code>transpose_and_dot(X::array<number>, Y::array<number>)::array<array<double>></code></a></li>
-<li><a href="#udf-selectkbestxarraynumber-importancelistarraynumber-kintarraydouble">[UDF] <code>select_k_best(X::array<number>, importance_list::array<number>, k::int)::array<double></code></a></li>
-<li><a href="#udf-chi2observedarrayarraynumber-expectedarrayarraynumberstructarraydouble-arraydouble">[UDF] <code>chi2(observed::array<array<number>>, expected::array<array<number>>)::struct<array<double>, array<double>></code></a></li>
-<li><a href="#udaf-snrxarraynumber-yarrayintarraydouble">[UDAF] <code>snr(X::array<number>, Y::array<int>)::array<double></code></a></li>
-</ul>
-</li>
-</ul>
-
-</div><!-- tocstop -->
-<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="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="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>
-<h1 id="usage">Usage</h1>
-<h2 id="feature-selection-based-on-chi-square-test">Feature Selection based on Chi-square test</h2>
-<pre><code class="lang-sql"><span class="hljs-keyword">CREATE</span> <span class="hljs-keyword">TABLE</span> <span class="hljs-keyword">input</span> (
- X <span class="hljs-built_in">array</span><<span class="hljs-keyword">double</span>>, <span class="hljs-comment">-- features</span>
- Y <span class="hljs-built_in">array</span><<span class="hljs-built_in">int</span>> <span class="hljs-comment">-- binarized label</span>
-);
-
-<span class="hljs-keyword">set</span> hivevar:k=<span class="hljs-number">2</span>;
-
-WITH stats AS (
- <span class="hljs-keyword">SELECT</span>
- transpose_and_dot(Y, X) <span class="hljs-keyword">AS</span> observed, <span class="hljs-comment">-- array<array<double>>, shape = (n_classes, n_features)</span>
- array_sum(X) <span class="hljs-keyword">AS</span> feature_count, <span class="hljs-comment">-- n_features col vector, shape = (1, array<double>)</span>
- array_avg(Y) <span class="hljs-keyword">AS</span> class_prob <span class="hljs-comment">-- n_class col vector, shape = (1, array<double>)</span>
- <span class="hljs-keyword">FROM</span>
- <span class="hljs-keyword">input</span>
-),
-<span class="hljs-keyword">test</span> <span class="hljs-keyword">AS</span> (
- <span class="hljs-keyword">SELECT</span>
- transpose_and_dot(class_prob, feature_count) <span class="hljs-keyword">AS</span> expected <span class="hljs-comment">-- array<array<double>>, shape = (n_class, n_features)</span>
- <span class="hljs-keyword">FROM</span>
- stats
-),
-chi2 <span class="hljs-keyword">AS</span> (
- <span class="hljs-keyword">SELECT</span>
- chi2(r.observed, l.expected) <span class="hljs-keyword">AS</span> v <span class="hljs-comment">-- struct<array<double>, array<double>>, each shape = (1, n_features)</span>
- <span class="hljs-keyword">FROM</span>
- <span class="hljs-keyword">test</span> l
- <span class="hljs-keyword">CROSS</span> <span class="hljs-keyword">JOIN</span> stats r
-)
-<span class="hljs-keyword">SELECT</span>
- select_k_best(l.X, r.v.chi2, ${k}) <span class="hljs-keyword">as</span> features <span class="hljs-comment">-- top-k feature selection based on chi2 score</span>
-<span class="hljs-keyword">FROM</span>
- <span class="hljs-keyword">input</span> l
- <span class="hljs-keyword">CROSS</span> <span class="hljs-keyword">JOIN</span> chi2 r;
-</code></pre>
-<h2 id="feature-selection-based-on-signal-noise-ratio-snr">Feature Selection based on Signal Noise Ratio (SNR)</h2>
-<pre><code class="lang-sql"><span class="hljs-keyword">CREATE</span> <span class="hljs-keyword">TABLE</span> <span class="hljs-keyword">input</span> (
- X <span class="hljs-built_in">array</span><<span class="hljs-keyword">double</span>>, <span class="hljs-comment">-- features</span>
- Y <span class="hljs-built_in">array</span><<span class="hljs-built_in">int</span>> <span class="hljs-comment">-- binarized label</span>
-);
-
-<span class="hljs-keyword">set</span> hivevar:k=<span class="hljs-number">2</span>;
-
-WITH snr AS (
- <span class="hljs-keyword">SELECT</span> snr(X, Y) <span class="hljs-keyword">AS</span> snr <span class="hljs-comment">-- aggregated SNR as array<double>, shape = (1, #features)</span>
- <span class="hljs-keyword">FROM</span> <span class="hljs-keyword">input</span>
-)
-<span class="hljs-keyword">SELECT</span>
- select_k_best(X, snr, ${k}) <span class="hljs-keyword">as</span> features
-<span class="hljs-keyword">FROM</span>
- <span class="hljs-keyword">input</span>
- <span class="hljs-keyword">CROSS</span> <span class="hljs-keyword">JOIN</span> snr;
-</code></pre>
-<h1 id="function-signatures">Function signatures</h1>
-<h3 id="udaf-transposeanddotxarraynumber-yarraynumberarrayarraydouble">[UDAF] <code>transpose_and_dot(X::array<number>, Y::array<number>)::array<array<double>></code></h3>
-<h5 id="input">Input</h5>
-<table>
-<thead>
-<tr>
-<th style="text-align:center"><code>array<number></code> X</th>
-<th style="text-align:center"><code>array<number></code> Y</th>
-</tr>
-</thead>
-<tbody>
-<tr>
-<td style="text-align:center">a row of matrix</td>
-<td style="text-align:center">a row of matrix</td>
-</tr>
-</tbody>
-</table>
-<h5 id="output">Output</h5>
-<table>
-<thead>
-<tr>
-<th style="text-align:center"><code>array<array<double>></code> dot product</th>
-</tr>
-</thead>
-<tbody>
-<tr>
-<td style="text-align:center"><code>dot(X.T, Y)</code> of shape = (X.#cols, Y.#cols)</td>
-</tr>
-</tbody>
-</table>
-<h3 id="udf-selectkbestxarraynumber-importancelistarraynumber-kintarraydouble">[UDF] <code>select_k_best(X::array<number>, importance_list::array<number>, k::int)::array<double></code></h3>
-<h5 id="input">Input</h5>
-<table>
-<thead>
-<tr>
-<th style="text-align:center"><code>array<number></code> X</th>
-<th style="text-align:center"><code>array<number></code> importance_list</th>
-<th style="text-align:center"><code>int</code> k</th>
-</tr>
-</thead>
-<tbody>
-<tr>
-<td style="text-align:center">feature vector</td>
-<td style="text-align:center">importance of each feature</td>
-<td style="text-align:center">the number of features to be selected</td>
-</tr>
-</tbody>
-</table>
-<h5 id="output">Output</h5>
-<table>
-<thead>
-<tr>
-<th style="text-align:center"><code>array<array<double>></code> k-best features</th>
-</tr>
-</thead>
-<tbody>
-<tr>
-<td style="text-align:center">top-k elements from feature vector <code>X</code> based on importance list</td>
-</tr>
-</tbody>
-</table>
-<h3 id="udf-chi2observedarrayarraynumber-expectedarrayarraynumberstructarraydouble-arraydouble">[UDF] <code>chi2(observed::array<array<number>>, expected::array<array<number>>)::struct<array<double>, array<double>></code></h3>
-<h5 id="input">Input</h5>
-<table>
-<thead>
-<tr>
-<th style="text-align:center"><code>array<number></code> observed</th>
-<th style="text-align:center"><code>array<number></code> expected</th>
-</tr>
-</thead>
-<tbody>
-<tr>
-<td style="text-align:center">observed features</td>
-<td style="text-align:center">expected features <code>dot(class_prob.T, feature_count)</code></td>
-</tr>
-</tbody>
-</table>
-<p>Both of <code>observed</code> and <code>expected</code> have a shape <code>(#classes, #features)</code></p>
-<h5 id="output">Output</h5>
-<table>
-<thead>
-<tr>
-<th style="text-align:center"><code>struct<array<double>, array<double>></code> importance_list</th>
-</tr>
-</thead>
-<tbody>
-<tr>
-<td style="text-align:center">chi2-value and p-value for each feature</td>
-</tr>
-</tbody>
-</table>
-<h3 id="udaf-snrxarraynumber-yarrayintarraydouble">[UDAF] <code>snr(X::array<number>, Y::array<int>)::array<double></code></h3>
-<h5 id="input">Input</h5>
-<table>
-<thead>
-<tr>
-<th style="text-align:center"><code>array<number></code> X</th>
-<th style="text-align:center"><code>array<int></code> Y</th>
-</tr>
-</thead>
-<tbody>
-<tr>
-<td style="text-align:center">feature vector</td>
-<td style="text-align:center">one hot label</td>
-</tr>
-</tbody>
-</table>
-<h5 id="output">Output</h5>
-<table>
-<thead>
-<tr>
-<th style="text-align:center"><code>array<double></code> importance_list</th>
-</tr>
-</thead>
-<tbody>
-<tr>
-<td style="text-align:center">Signal Noise Ratio for each feature</td>
-</tr>
-</tbody>
-</table>
-<p><div id="page-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>
-
- </div>
- <div class="no-results">
-
- <h1 class="search-results-title">No results matching "<span class='search-query'></span>"</h1>
-
- </div>
- </div>
-</div>
-
- </div>
- </div>
-
- </div>
-
-
-
-
- </div>
-
- <script>
- var gitbook = gitbook || [];
- gitbook.push(function() {
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http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/15b9991a/userguide/ft_engineering/ft_trans.html
----------------------------------------------------------------------
diff --git a/userguide/ft_engineering/ft_trans.html b/userguide/ft_engineering/ft_trans.html
index ea1f85c..79f627e 100644
--- a/userguide/ft_engineering/ft_trans.html
+++ b/userguide/ft_engineering/ft_trans.html
@@ -97,7 +97,7 @@
<link rel="shortcut icon" href="../gitbook/images/favicon.ico" type="image/x-icon">
- <link rel="next" href="vectorizer.html" />
+ <link rel="next" href="vectorization.html" />
<link rel="prev" href="tfidf.html" />
@@ -568,14 +568,14 @@
</li>
- <li class="chapter " data-level="3.3" data-path="tfidf.html">
+ <li class="chapter " data-level="3.3" data-path="selection.html">
- <a href="tfidf.html">
+ <a href="selection.html">
<b>3.3.</b>
- TF-IDF calculation
+ Feature Selection
</a>
@@ -583,30 +583,29 @@
</li>
- <li class="chapter active" data-level="3.4" data-path="ft_trans.html">
+ <li class="chapter " data-level="3.4" data-path="binning.html">
- <a href="ft_trans.html">
+ <a href="binning.html">
<b>3.4.</b>
- FEATURE TRANSFORMATION
+ Feature Binning
</a>
- <ul class="articles">
-
+ </li>
- <li class="chapter " data-level="3.4.1" data-path="vectorizer.html">
+ <li class="chapter " data-level="3.5" data-path="tfidf.html">
- <a href="vectorizer.html">
+ <a href="tfidf.html">
- <b>3.4.1.</b>
+ <b>3.5.</b>
- Vectorize Features
+ TF-IDF Calculation
</a>
@@ -614,34 +613,45 @@
</li>
- <li class="chapter " data-level="3.4.2" data-path="quantify.html">
+ <li class="chapter active" data-level="3.6" data-path="ft_trans.html">
- <a href="quantify.html">
+ <a href="ft_trans.html">
- <b>3.4.2.</b>
+ <b>3.6.</b>
- Quantify non-number features
+ FEATURE TRANSFORMATION
</a>
- </li>
+ <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>
+
- </ul>
</li>
- <li class="chapter " data-level="3.5" data-path="feature_selection.html">
+ <li class="chapter " data-level="3.6.2" data-path="quantify.html">
- <a href="feature_selection.html">
+ <a href="quantify.html">
- <b>3.5.</b>
+ <b>3.6.2.</b>
- Feature selection
+ Quantify non-number features
</a>
@@ -650,6 +660,11 @@
</li>
+ </ul>
+
+ </li>
+
+
<li class="header">Part IV - Evaluation</li>
@@ -2047,7 +2062,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
<script>
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[02/19] incubator-hivemall-site git commit: Added feature binning
documentation
Posted by my...@apache.org.
http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/15b9991a/userguide/tips/addbias.html
----------------------------------------------------------------------
diff --git a/userguide/tips/addbias.html b/userguide/tips/addbias.html
index 91d8084..c0e3adb 100644
--- a/userguide/tips/addbias.html
+++ b/userguide/tips/addbias.html
@@ -568,14 +568,14 @@
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- <li class="chapter " data-level="3.3" data-path="../ft_engineering/tfidf.html">
+ <li class="chapter " data-level="3.3" data-path="../ft_engineering/selection.html">
- <a href="../ft_engineering/tfidf.html">
+ <a href="../ft_engineering/selection.html">
<b>3.3.</b>
- TF-IDF calculation
+ Feature Selection
</a>
@@ -583,30 +583,29 @@
</li>
- <li class="chapter " data-level="3.4" data-path="../ft_engineering/ft_trans.html">
+ <li class="chapter " data-level="3.4" data-path="../ft_engineering/binning.html">
- <a href="../ft_engineering/ft_trans.html">
+ <a href="../ft_engineering/binning.html">
<b>3.4.</b>
- FEATURE TRANSFORMATION
+ Feature Binning
</a>
- <ul class="articles">
-
+ </li>
- <li class="chapter " data-level="3.4.1" data-path="../ft_engineering/vectorizer.html">
+ <li class="chapter " data-level="3.5" data-path="../ft_engineering/tfidf.html">
- <a href="../ft_engineering/vectorizer.html">
+ <a href="../ft_engineering/tfidf.html">
- <b>3.4.1.</b>
+ <b>3.5.</b>
- Vectorize Features
+ TF-IDF Calculation
</a>
@@ -614,34 +613,45 @@
</li>
- <li class="chapter " data-level="3.4.2" data-path="../ft_engineering/quantify.html">
+ <li class="chapter " data-level="3.6" data-path="../ft_engineering/ft_trans.html">
- <a href="../ft_engineering/quantify.html">
+ <a href="../ft_engineering/ft_trans.html">
- <b>3.4.2.</b>
+ <b>3.6.</b>
- Quantify non-number features
+ FEATURE TRANSFORMATION
</a>
- </li>
+ <ul class="articles">
+
+ <li class="chapter " data-level="3.6.1" data-path="../ft_engineering/vectorization.html">
+
+ <a href="../ft_engineering/vectorization.html">
+
+
+ <b>3.6.1.</b>
+
+ Feature Vectorization
+
+ </a>
+
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</li>
- <li class="chapter " data-level="3.5" data-path="../ft_engineering/feature_selection.html">
+ <li class="chapter " data-level="3.6.2" data-path="../ft_engineering/quantify.html">
- <a href="../ft_engineering/feature_selection.html">
+ <a href="../ft_engineering/quantify.html">
- <b>3.5.</b>
+ <b>3.6.2.</b>
- Feature selection
+ Quantify non-number features
</a>
@@ -650,6 +660,11 @@
</li>
+ </ul>
+
+ </li>
+
+
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@@ -2081,7 +2096,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
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index 3622b0b..ae17231 100644
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@@ -568,14 +568,14 @@
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- <a href="../ft_engineering/tfidf.html">
+ <a href="../ft_engineering/selection.html">
<b>3.3.</b>
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</a>
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+ <a href="../ft_engineering/binning.html">
<b>3.4.</b>
- FEATURE TRANSFORMATION
+ Feature Binning
</a>
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+ <a href="../ft_engineering/tfidf.html">
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+ <b>3.5.</b>
- Vectorize Features
+ TF-IDF Calculation
</a>
@@ -614,34 +613,45 @@
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+ <a href="../ft_engineering/ft_trans.html">
- <b>3.4.2.</b>
+ <b>3.6.</b>
- Quantify non-number features
+ FEATURE TRANSFORMATION
</a>
- </li>
+ <ul class="articles">
+
+ <li class="chapter " data-level="3.6.1" data-path="../ft_engineering/vectorization.html">
+
+ <a href="../ft_engineering/vectorization.html">
+
+
+ <b>3.6.1.</b>
+
+ Feature Vectorization
+
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+ <a href="../ft_engineering/quantify.html">
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+ <b>3.6.2.</b>
- Feature selection
+ Quantify non-number features
</a>
@@ -650,6 +660,11 @@
</li>
+ </ul>
+
+ </li>
+
+
<li class="header">Part IV - Evaluation</li>
@@ -2102,7 +2117,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
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index ae383c3..e84f236 100644
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- <a href="../ft_engineering/tfidf.html">
+ <a href="../ft_engineering/selection.html">
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- TF-IDF calculation
+ Feature Selection
</a>
@@ -583,30 +583,29 @@
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+ <a href="../ft_engineering/binning.html">
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- FEATURE TRANSFORMATION
+ Feature Binning
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+ <a href="../ft_engineering/tfidf.html">
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+ <b>3.5.</b>
- Vectorize Features
+ TF-IDF Calculation
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@@ -614,34 +613,45 @@
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+ <a href="../ft_engineering/ft_trans.html">
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+ <b>3.6.</b>
- Quantify non-number features
+ FEATURE TRANSFORMATION
</a>
- </li>
+ <ul class="articles">
+
+ <li class="chapter " data-level="3.6.1" data-path="../ft_engineering/vectorization.html">
+
+ <a href="../ft_engineering/vectorization.html">
+
+
+ <b>3.6.1.</b>
+
+ Feature Vectorization
+
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+
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</li>
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+ <a href="../ft_engineering/quantify.html">
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+ <b>3.6.2.</b>
- Feature selection
+ Quantify non-number features
</a>
@@ -650,6 +660,11 @@
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+ </ul>
+
+ </li>
+
+
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@@ -2149,7 +2164,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
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[07/19] incubator-hivemall-site git commit: Added feature binning
documentation
Posted by my...@apache.org.
http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/15b9991a/userguide/multiclass/news20_pa.html
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diff --git a/userguide/multiclass/news20_pa.html b/userguide/multiclass/news20_pa.html
index 59dc91e..3b60314 100644
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@@ -568,14 +568,14 @@
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- <a href="../ft_engineering/tfidf.html">
+ <a href="../ft_engineering/selection.html">
<b>3.3.</b>
- TF-IDF calculation
+ Feature Selection
</a>
@@ -583,30 +583,29 @@
</li>
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- <a href="../ft_engineering/ft_trans.html">
+ <a href="../ft_engineering/binning.html">
<b>3.4.</b>
- FEATURE TRANSFORMATION
+ Feature Binning
</a>
- <ul class="articles">
-
+ </li>
- <li class="chapter " data-level="3.4.1" data-path="../ft_engineering/vectorizer.html">
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+ <a href="../ft_engineering/tfidf.html">
- <b>3.4.1.</b>
+ <b>3.5.</b>
- Vectorize Features
+ TF-IDF Calculation
</a>
@@ -614,34 +613,45 @@
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+ FEATURE TRANSFORMATION
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+ Quantify non-number features
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@@ -650,6 +660,11 @@
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+ <a href="../ft_engineering/ft_trans.html">
- <b>3.4.2.</b>
+ <b>3.6.</b>
- Quantify non-number features
+ FEATURE TRANSFORMATION
</a>
- </li>
+ <ul class="articles">
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+ <li class="chapter " data-level="3.6.1" data-path="../ft_engineering/vectorization.html">
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+ <a href="../ft_engineering/quantify.html">
- <b>3.5.</b>
+ <b>3.6.2.</b>
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+ Quantify non-number features
</a>
@@ -650,6 +660,11 @@
</li>
+ </ul>
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- FEATURE TRANSFORMATION
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- Quantify non-number features
+ FEATURE TRANSFORMATION
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- Feature selection
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+
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[06/19] incubator-hivemall-site git commit: Added feature binning
documentation
Posted by my...@apache.org.
http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/15b9991a/userguide/recommend/movielens_mf.html
----------------------------------------------------------------------
diff --git a/userguide/recommend/movielens_mf.html b/userguide/recommend/movielens_mf.html
index 416ee38..2362479 100644
--- a/userguide/recommend/movielens_mf.html
+++ b/userguide/recommend/movielens_mf.html
@@ -568,14 +568,14 @@
</li>
- <li class="chapter " data-level="3.3" data-path="../ft_engineering/tfidf.html">
+ <li class="chapter " data-level="3.3" data-path="../ft_engineering/selection.html">
- <a href="../ft_engineering/tfidf.html">
+ <a href="../ft_engineering/selection.html">
<b>3.3.</b>
- TF-IDF calculation
+ Feature Selection
</a>
@@ -583,30 +583,29 @@
</li>
- <li class="chapter " data-level="3.4" data-path="../ft_engineering/ft_trans.html">
+ <li class="chapter " data-level="3.4" data-path="../ft_engineering/binning.html">
- <a href="../ft_engineering/ft_trans.html">
+ <a href="../ft_engineering/binning.html">
<b>3.4.</b>
- FEATURE TRANSFORMATION
+ Feature Binning
</a>
- <ul class="articles">
-
+ </li>
- <li class="chapter " data-level="3.4.1" data-path="../ft_engineering/vectorizer.html">
+ <li class="chapter " data-level="3.5" data-path="../ft_engineering/tfidf.html">
- <a href="../ft_engineering/vectorizer.html">
+ <a href="../ft_engineering/tfidf.html">
- <b>3.4.1.</b>
+ <b>3.5.</b>
- Vectorize Features
+ TF-IDF Calculation
</a>
@@ -614,34 +613,45 @@
</li>
- <li class="chapter " data-level="3.4.2" data-path="../ft_engineering/quantify.html">
+ <li class="chapter " data-level="3.6" data-path="../ft_engineering/ft_trans.html">
- <a href="../ft_engineering/quantify.html">
+ <a href="../ft_engineering/ft_trans.html">
- <b>3.4.2.</b>
+ <b>3.6.</b>
- Quantify non-number features
+ FEATURE TRANSFORMATION
</a>
- </li>
+ <ul class="articles">
+
+ <li class="chapter " data-level="3.6.1" data-path="../ft_engineering/vectorization.html">
+
+ <a href="../ft_engineering/vectorization.html">
+
+
+ <b>3.6.1.</b>
+
+ Feature Vectorization
+
+ </a>
+
- </ul>
</li>
- <li class="chapter " data-level="3.5" data-path="../ft_engineering/feature_selection.html">
+ <li class="chapter " data-level="3.6.2" data-path="../ft_engineering/quantify.html">
- <a href="../ft_engineering/feature_selection.html">
+ <a href="../ft_engineering/quantify.html">
- <b>3.5.</b>
+ <b>3.6.2.</b>
- Feature selection
+ Quantify non-number features
</a>
@@ -650,6 +660,11 @@
</li>
+ </ul>
+
+ </li>
+
+
<li class="header">Part IV - Evaluation</li>
@@ -2215,7 +2230,7 @@ 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/15b9991a/userguide/recommend/news20.html
----------------------------------------------------------------------
diff --git a/userguide/recommend/news20.html b/userguide/recommend/news20.html
index d424613..5695114 100644
--- a/userguide/recommend/news20.html
+++ b/userguide/recommend/news20.html
@@ -568,14 +568,14 @@
</li>
- <li class="chapter " data-level="3.3" data-path="../ft_engineering/tfidf.html">
+ <li class="chapter " data-level="3.3" data-path="../ft_engineering/selection.html">
- <a href="../ft_engineering/tfidf.html">
+ <a href="../ft_engineering/selection.html">
<b>3.3.</b>
- TF-IDF calculation
+ Feature Selection
</a>
@@ -583,30 +583,29 @@
</li>
- <li class="chapter " data-level="3.4" data-path="../ft_engineering/ft_trans.html">
+ <li class="chapter " data-level="3.4" data-path="../ft_engineering/binning.html">
- <a href="../ft_engineering/ft_trans.html">
+ <a href="../ft_engineering/binning.html">
<b>3.4.</b>
- FEATURE TRANSFORMATION
+ Feature Binning
</a>
- <ul class="articles">
-
+ </li>
- <li class="chapter " data-level="3.4.1" data-path="../ft_engineering/vectorizer.html">
+ <li class="chapter " data-level="3.5" data-path="../ft_engineering/tfidf.html">
- <a href="../ft_engineering/vectorizer.html">
+ <a href="../ft_engineering/tfidf.html">
- <b>3.4.1.</b>
+ <b>3.5.</b>
- Vectorize Features
+ TF-IDF Calculation
</a>
@@ -614,34 +613,45 @@
</li>
- <li class="chapter " data-level="3.4.2" data-path="../ft_engineering/quantify.html">
+ <li class="chapter " data-level="3.6" data-path="../ft_engineering/ft_trans.html">
- <a href="../ft_engineering/quantify.html">
+ <a href="../ft_engineering/ft_trans.html">
- <b>3.4.2.</b>
+ <b>3.6.</b>
- Quantify non-number features
+ FEATURE TRANSFORMATION
</a>
- </li>
+ <ul class="articles">
+
+ <li class="chapter " data-level="3.6.1" data-path="../ft_engineering/vectorization.html">
+
+ <a href="../ft_engineering/vectorization.html">
+
+
+ <b>3.6.1.</b>
+
+ Feature Vectorization
+
+ </a>
+
- </ul>
</li>
- <li class="chapter " data-level="3.5" data-path="../ft_engineering/feature_selection.html">
+ <li class="chapter " data-level="3.6.2" data-path="../ft_engineering/quantify.html">
- <a href="../ft_engineering/feature_selection.html">
+ <a href="../ft_engineering/quantify.html">
- <b>3.5.</b>
+ <b>3.6.2.</b>
- Feature selection
+ Quantify non-number features
</a>
@@ -650,6 +660,11 @@
</li>
+ </ul>
+
+ </li>
+
+
<li class="header">Part IV - Evaluation</li>
@@ -2047,7 +2062,7 @@ 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 7dbd080..664f161 100644
--- a/userguide/recommend/news20_bbit_minhash.html
+++ b/userguide/recommend/news20_bbit_minhash.html
@@ -568,14 +568,14 @@
</li>
- <li class="chapter " data-level="3.3" data-path="../ft_engineering/tfidf.html">
+ <li class="chapter " data-level="3.3" data-path="../ft_engineering/selection.html">
- <a href="../ft_engineering/tfidf.html">
+ <a href="../ft_engineering/selection.html">
<b>3.3.</b>
- TF-IDF calculation
+ Feature Selection
</a>
@@ -583,30 +583,29 @@
</li>
- <li class="chapter " data-level="3.4" data-path="../ft_engineering/ft_trans.html">
+ <li class="chapter " data-level="3.4" data-path="../ft_engineering/binning.html">
- <a href="../ft_engineering/ft_trans.html">
+ <a href="../ft_engineering/binning.html">
<b>3.4.</b>
- FEATURE TRANSFORMATION
+ Feature Binning
</a>
- <ul class="articles">
-
+ </li>
- <li class="chapter " data-level="3.4.1" data-path="../ft_engineering/vectorizer.html">
+ <li class="chapter " data-level="3.5" data-path="../ft_engineering/tfidf.html">
- <a href="../ft_engineering/vectorizer.html">
+ <a href="../ft_engineering/tfidf.html">
- <b>3.4.1.</b>
+ <b>3.5.</b>
- Vectorize Features
+ TF-IDF Calculation
</a>
@@ -614,34 +613,45 @@
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- <li class="chapter " data-level="3.4.2" data-path="../ft_engineering/quantify.html">
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+ <a href="../ft_engineering/ft_trans.html">
- <b>3.4.2.</b>
+ <b>3.6.</b>
- Quantify non-number features
+ FEATURE TRANSFORMATION
</a>
- </li>
+ <ul class="articles">
+
+ <li class="chapter " data-level="3.6.1" data-path="../ft_engineering/vectorization.html">
+
+ <a href="../ft_engineering/vectorization.html">
+
+
+ <b>3.6.1.</b>
+
+ Feature Vectorization
+
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+
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</li>
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+ <a href="../ft_engineering/quantify.html">
- <b>3.5.</b>
+ <b>3.6.2.</b>
- Feature selection
+ Quantify non-number features
</a>
@@ -650,6 +660,11 @@
</li>
+ </ul>
+
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- Feature selection
+ Quantify non-number features
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+
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- TF-IDF calculation
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<b>3.4.</b>
- FEATURE TRANSFORMATION
+ Feature Binning
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+ TF-IDF Calculation
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- Quantify non-number features
+ FEATURE TRANSFORMATION
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+ <b>3.6.2.</b>
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+
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- <li class="chapter " data-level="3.4.1" data-path="../ft_engineering/vectorizer.html">
+ <li class="chapter " data-level="3.5" data-path="../ft_engineering/tfidf.html">
- <a href="../ft_engineering/vectorizer.html">
+ <a href="../ft_engineering/tfidf.html">
- <b>3.4.1.</b>
+ <b>3.5.</b>
- Vectorize Features
+ TF-IDF Calculation
</a>
@@ -614,34 +613,45 @@
</li>
- <li class="chapter " data-level="3.4.2" data-path="../ft_engineering/quantify.html">
+ <li class="chapter " data-level="3.6" data-path="../ft_engineering/ft_trans.html">
- <a href="../ft_engineering/quantify.html">
+ <a href="../ft_engineering/ft_trans.html">
- <b>3.4.2.</b>
+ <b>3.6.</b>
- Quantify non-number features
+ FEATURE TRANSFORMATION
</a>
- </li>
+ <ul class="articles">
+
+ <li class="chapter " data-level="3.6.1" data-path="../ft_engineering/vectorization.html">
+
+ <a href="../ft_engineering/vectorization.html">
+
+
+ <b>3.6.1.</b>
+
+ Feature Vectorization
+
+ </a>
+
- </ul>
</li>
- <li class="chapter " data-level="3.5" data-path="../ft_engineering/feature_selection.html">
+ <li class="chapter " data-level="3.6.2" data-path="../ft_engineering/quantify.html">
- <a href="../ft_engineering/feature_selection.html">
+ <a href="../ft_engineering/quantify.html">
- <b>3.5.</b>
+ <b>3.6.2.</b>
- Feature selection
+ Quantify non-number features
</a>
@@ -650,6 +660,11 @@
</li>
+ </ul>
+
+ </li>
+
+
<li class="header">Part IV - Evaluation</li>
@@ -2111,7 +2126,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
<script>
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[18/19] incubator-hivemall-site git commit: Added feature binning
documentation
Posted by my...@apache.org.
http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/15b9991a/userguide/binaryclass/kdd2010a_dataset.html
----------------------------------------------------------------------
diff --git a/userguide/binaryclass/kdd2010a_dataset.html b/userguide/binaryclass/kdd2010a_dataset.html
index 6bc3ad2..9d44aa4 100644
--- a/userguide/binaryclass/kdd2010a_dataset.html
+++ b/userguide/binaryclass/kdd2010a_dataset.html
@@ -568,14 +568,14 @@
</li>
- <li class="chapter " data-level="3.3" data-path="../ft_engineering/tfidf.html">
+ <li class="chapter " data-level="3.3" data-path="../ft_engineering/selection.html">
- <a href="../ft_engineering/tfidf.html">
+ <a href="../ft_engineering/selection.html">
<b>3.3.</b>
- TF-IDF calculation
+ Feature Selection
</a>
@@ -583,30 +583,29 @@
</li>
- <li class="chapter " data-level="3.4" data-path="../ft_engineering/ft_trans.html">
+ <li class="chapter " data-level="3.4" data-path="../ft_engineering/binning.html">
- <a href="../ft_engineering/ft_trans.html">
+ <a href="../ft_engineering/binning.html">
<b>3.4.</b>
- FEATURE TRANSFORMATION
+ Feature Binning
</a>
- <ul class="articles">
-
+ </li>
- <li class="chapter " data-level="3.4.1" data-path="../ft_engineering/vectorizer.html">
+ <li class="chapter " data-level="3.5" data-path="../ft_engineering/tfidf.html">
- <a href="../ft_engineering/vectorizer.html">
+ <a href="../ft_engineering/tfidf.html">
- <b>3.4.1.</b>
+ <b>3.5.</b>
- Vectorize Features
+ TF-IDF Calculation
</a>
@@ -614,34 +613,45 @@
</li>
- <li class="chapter " data-level="3.4.2" data-path="../ft_engineering/quantify.html">
+ <li class="chapter " data-level="3.6" data-path="../ft_engineering/ft_trans.html">
- <a href="../ft_engineering/quantify.html">
+ <a href="../ft_engineering/ft_trans.html">
- <b>3.4.2.</b>
+ <b>3.6.</b>
- Quantify non-number features
+ FEATURE TRANSFORMATION
</a>
- </li>
+ <ul class="articles">
+
+ <li class="chapter " data-level="3.6.1" data-path="../ft_engineering/vectorization.html">
+
+ <a href="../ft_engineering/vectorization.html">
+
+
+ <b>3.6.1.</b>
+
+ Feature Vectorization
+
+ </a>
+
- </ul>
</li>
- <li class="chapter " data-level="3.5" data-path="../ft_engineering/feature_selection.html">
+ <li class="chapter " data-level="3.6.2" data-path="../ft_engineering/quantify.html">
- <a href="../ft_engineering/feature_selection.html">
+ <a href="../ft_engineering/quantify.html">
- <b>3.5.</b>
+ <b>3.6.2.</b>
- Feature selection
+ Quantify non-number features
</a>
@@ -650,6 +660,11 @@
</li>
+ </ul>
+
+ </li>
+
+
<li class="header">Part IV - Evaluation</li>
@@ -2114,7 +2129,7 @@ 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/15b9991a/userguide/binaryclass/kdd2010a_scw.html
----------------------------------------------------------------------
diff --git a/userguide/binaryclass/kdd2010a_scw.html b/userguide/binaryclass/kdd2010a_scw.html
index ccce4a0..fa72e38 100644
--- a/userguide/binaryclass/kdd2010a_scw.html
+++ b/userguide/binaryclass/kdd2010a_scw.html
@@ -568,14 +568,14 @@
</li>
- <li class="chapter " data-level="3.3" data-path="../ft_engineering/tfidf.html">
+ <li class="chapter " data-level="3.3" data-path="../ft_engineering/selection.html">
- <a href="../ft_engineering/tfidf.html">
+ <a href="../ft_engineering/selection.html">
<b>3.3.</b>
- TF-IDF calculation
+ Feature Selection
</a>
@@ -583,30 +583,29 @@
</li>
- <li class="chapter " data-level="3.4" data-path="../ft_engineering/ft_trans.html">
+ <li class="chapter " data-level="3.4" data-path="../ft_engineering/binning.html">
- <a href="../ft_engineering/ft_trans.html">
+ <a href="../ft_engineering/binning.html">
<b>3.4.</b>
- FEATURE TRANSFORMATION
+ Feature Binning
</a>
- <ul class="articles">
-
+ </li>
- <li class="chapter " data-level="3.4.1" data-path="../ft_engineering/vectorizer.html">
+ <li class="chapter " data-level="3.5" data-path="../ft_engineering/tfidf.html">
- <a href="../ft_engineering/vectorizer.html">
+ <a href="../ft_engineering/tfidf.html">
- <b>3.4.1.</b>
+ <b>3.5.</b>
- Vectorize Features
+ TF-IDF Calculation
</a>
@@ -614,34 +613,45 @@
</li>
- <li class="chapter " data-level="3.4.2" data-path="../ft_engineering/quantify.html">
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- <a href="../ft_engineering/quantify.html">
+ <a href="../ft_engineering/ft_trans.html">
- <b>3.4.2.</b>
+ <b>3.6.</b>
- Quantify non-number features
+ FEATURE TRANSFORMATION
</a>
- </li>
+ <ul class="articles">
+
+ <li class="chapter " data-level="3.6.1" data-path="../ft_engineering/vectorization.html">
+
+ <a href="../ft_engineering/vectorization.html">
+
+
+ <b>3.6.1.</b>
+
+ Feature Vectorization
+
+ </a>
+
- </ul>
</li>
- <li class="chapter " data-level="3.5" data-path="../ft_engineering/feature_selection.html">
+ <li class="chapter " data-level="3.6.2" data-path="../ft_engineering/quantify.html">
- <a href="../ft_engineering/feature_selection.html">
+ <a href="../ft_engineering/quantify.html">
- <b>3.5.</b>
+ <b>3.6.2.</b>
- Feature selection
+ Quantify non-number features
</a>
@@ -650,6 +660,11 @@
</li>
+ </ul>
+
+ </li>
+
+
<li class="header">Part IV - Evaluation</li>
@@ -2247,7 +2262,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
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----------------------------------------------------------------------
diff --git a/userguide/binaryclass/news20_dataset.html b/userguide/binaryclass/news20_dataset.html
index 11be675..01b7025 100644
--- a/userguide/binaryclass/news20_dataset.html
+++ b/userguide/binaryclass/news20_dataset.html
@@ -568,14 +568,14 @@
</li>
- <li class="chapter " data-level="3.3" data-path="../ft_engineering/tfidf.html">
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- <a href="../ft_engineering/tfidf.html">
+ <a href="../ft_engineering/selection.html">
<b>3.3.</b>
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+ Feature Selection
</a>
@@ -583,30 +583,29 @@
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- <li class="chapter " data-level="3.4" data-path="../ft_engineering/ft_trans.html">
+ <li class="chapter " data-level="3.4" data-path="../ft_engineering/binning.html">
- <a href="../ft_engineering/ft_trans.html">
+ <a href="../ft_engineering/binning.html">
<b>3.4.</b>
- FEATURE TRANSFORMATION
+ Feature Binning
</a>
- <ul class="articles">
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+ </li>
- <li class="chapter " data-level="3.4.1" data-path="../ft_engineering/vectorizer.html">
+ <li class="chapter " data-level="3.5" data-path="../ft_engineering/tfidf.html">
- <a href="../ft_engineering/vectorizer.html">
+ <a href="../ft_engineering/tfidf.html">
- <b>3.4.1.</b>
+ <b>3.5.</b>
- Vectorize Features
+ TF-IDF Calculation
</a>
@@ -614,34 +613,45 @@
</li>
- <li class="chapter " data-level="3.4.2" data-path="../ft_engineering/quantify.html">
+ <li class="chapter " data-level="3.6" data-path="../ft_engineering/ft_trans.html">
- <a href="../ft_engineering/quantify.html">
+ <a href="../ft_engineering/ft_trans.html">
- <b>3.4.2.</b>
+ <b>3.6.</b>
- Quantify non-number features
+ FEATURE TRANSFORMATION
</a>
- </li>
+ <ul class="articles">
+
+ <li class="chapter " data-level="3.6.1" data-path="../ft_engineering/vectorization.html">
+
+ <a href="../ft_engineering/vectorization.html">
+
+
+ <b>3.6.1.</b>
+
+ Feature Vectorization
+
+ </a>
+
- </ul>
</li>
- <li class="chapter " data-level="3.5" data-path="../ft_engineering/feature_selection.html">
+ <li class="chapter " data-level="3.6.2" data-path="../ft_engineering/quantify.html">
- <a href="../ft_engineering/feature_selection.html">
+ <a href="../ft_engineering/quantify.html">
- <b>3.5.</b>
+ <b>3.6.2.</b>
- Feature selection
+ Quantify non-number features
</a>
@@ -650,6 +660,11 @@
</li>
+ </ul>
+
+ </li>
+
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@@ -2124,7 +2139,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
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[05/19] incubator-hivemall-site git commit: Added feature binning
documentation
Posted by my...@apache.org.
http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/15b9991a/userguide/regression/kddcup12tr2.html
----------------------------------------------------------------------
diff --git a/userguide/regression/kddcup12tr2.html b/userguide/regression/kddcup12tr2.html
index d7f3120..b1fa7f2 100644
--- a/userguide/regression/kddcup12tr2.html
+++ b/userguide/regression/kddcup12tr2.html
@@ -568,14 +568,14 @@
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- <a href="../ft_engineering/tfidf.html">
+ <a href="../ft_engineering/selection.html">
<b>3.3.</b>
- TF-IDF calculation
+ Feature Selection
</a>
@@ -583,30 +583,29 @@
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- <a href="../ft_engineering/ft_trans.html">
+ <a href="../ft_engineering/binning.html">
<b>3.4.</b>
- FEATURE TRANSFORMATION
+ Feature Binning
</a>
- <ul class="articles">
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+ <a href="../ft_engineering/tfidf.html">
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+ <b>3.5.</b>
- Vectorize Features
+ TF-IDF Calculation
</a>
@@ -614,34 +613,45 @@
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- <li class="chapter " data-level="3.4.2" data-path="../ft_engineering/quantify.html">
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+ <a href="../ft_engineering/ft_trans.html">
- <b>3.4.2.</b>
+ <b>3.6.</b>
- Quantify non-number features
+ FEATURE TRANSFORMATION
</a>
- </li>
+ <ul class="articles">
+
+ <li class="chapter " data-level="3.6.1" data-path="../ft_engineering/vectorization.html">
+
+ <a href="../ft_engineering/vectorization.html">
+
+
+ <b>3.6.1.</b>
+
+ Feature Vectorization
+
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+
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</li>
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+ <a href="../ft_engineering/quantify.html">
- <b>3.5.</b>
+ <b>3.6.2.</b>
- Feature selection
+ Quantify non-number features
</a>
@@ -650,6 +660,11 @@
</li>
+ </ul>
+
+ </li>
+
+
<li class="header">Part IV - Evaluation</li>
@@ -2047,7 +2062,7 @@ 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/15b9991a/userguide/regression/kddcup12tr2_adagrad.html
----------------------------------------------------------------------
diff --git a/userguide/regression/kddcup12tr2_adagrad.html b/userguide/regression/kddcup12tr2_adagrad.html
index a6afc23..07888a0 100644
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diff --git a/userguide/regression/kddcup12tr2_lr_amplify.html b/userguide/regression/kddcup12tr2_lr_amplify.html
index b125f7d..f980044 100644
--- a/userguide/regression/kddcup12tr2_lr_amplify.html
+++ b/userguide/regression/kddcup12tr2_lr_amplify.html
@@ -568,14 +568,14 @@
</li>
- <li class="chapter " data-level="3.3" data-path="../ft_engineering/tfidf.html">
+ <li class="chapter " data-level="3.3" data-path="../ft_engineering/selection.html">
- <a href="../ft_engineering/tfidf.html">
+ <a href="../ft_engineering/selection.html">
<b>3.3.</b>
- TF-IDF calculation
+ Feature Selection
</a>
@@ -583,30 +583,29 @@
</li>
- <li class="chapter " data-level="3.4" data-path="../ft_engineering/ft_trans.html">
+ <li class="chapter " data-level="3.4" data-path="../ft_engineering/binning.html">
- <a href="../ft_engineering/ft_trans.html">
+ <a href="../ft_engineering/binning.html">
<b>3.4.</b>
- FEATURE TRANSFORMATION
+ Feature Binning
</a>
- <ul class="articles">
-
+ </li>
- <li class="chapter " data-level="3.4.1" data-path="../ft_engineering/vectorizer.html">
+ <li class="chapter " data-level="3.5" data-path="../ft_engineering/tfidf.html">
- <a href="../ft_engineering/vectorizer.html">
+ <a href="../ft_engineering/tfidf.html">
- <b>3.4.1.</b>
+ <b>3.5.</b>
- Vectorize Features
+ TF-IDF Calculation
</a>
@@ -614,34 +613,45 @@
</li>
- <li class="chapter " data-level="3.4.2" data-path="../ft_engineering/quantify.html">
+ <li class="chapter " data-level="3.6" data-path="../ft_engineering/ft_trans.html">
- <a href="../ft_engineering/quantify.html">
+ <a href="../ft_engineering/ft_trans.html">
- <b>3.4.2.</b>
+ <b>3.6.</b>
- Quantify non-number features
+ FEATURE TRANSFORMATION
</a>
- </li>
+ <ul class="articles">
+
+ <li class="chapter " data-level="3.6.1" data-path="../ft_engineering/vectorization.html">
+
+ <a href="../ft_engineering/vectorization.html">
+
+
+ <b>3.6.1.</b>
+
+ Feature Vectorization
+
+ </a>
+
- </ul>
</li>
- <li class="chapter " data-level="3.5" data-path="../ft_engineering/feature_selection.html">
+ <li class="chapter " data-level="3.6.2" data-path="../ft_engineering/quantify.html">
- <a href="../ft_engineering/feature_selection.html">
+ <a href="../ft_engineering/quantify.html">
- <b>3.5.</b>
+ <b>3.6.2.</b>
- Feature selection
+ Quantify non-number features
</a>
@@ -650,6 +660,11 @@
</li>
+ </ul>
+
+ </li>
+
+
<li class="header">Part IV - Evaluation</li>
@@ -2141,7 +2156,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
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[10/19] incubator-hivemall-site git commit: Added feature binning
documentation
Posted by my...@apache.org.
http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/15b9991a/userguide/ft_engineering/vectorizer.html
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diff --git a/userguide/ft_engineering/vectorizer.html b/userguide/ft_engineering/vectorizer.html
deleted file mode 100644
index 0fae9f5..0000000
--- a/userguide/ft_engineering/vectorizer.html
+++ /dev/null
@@ -1,2159 +0,0 @@
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-<html lang="" >
- <head>
- <meta charset="UTF-8">
- <meta content="text/html; charset=utf-8" http-equiv="Content-Type">
- <title>Vectorize Features · 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="stylesheet" href="../gitbook/style.css">
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- <link rel="stylesheet" href="../gitbook/gitbook-plugin-splitter/splitter.css">
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- <link rel="stylesheet" href="../gitbook/gitbook-plugin-etoc/plugin.css">
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- <body>
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- <div class="book-summary">
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- <input type="text" placeholder="Type to search" />
-</div>
-
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- <nav role="navigation">
-
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-
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- <li>
- <a href="http://hivemall.incubator.apache.org/" target="_blank" class="custom-link"><i class="fa fa-home"></i> Home</a>
- </li>
-
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- <li class="divider"></li>
-
-
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- <li class="header">TABLE OF CONTENTS</li>
-
-
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- <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>
-
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-
- <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>
-
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-
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- <b>1.4.</b>
-
- General Hive/Hadoop tips
-
- </a>
-
-
-
- <ul class="articles">
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-
- Adding rowid for each row
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-
-
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-
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-
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-
- <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="tfidf.html">
-
- <a href="tfidf.html">
-
-
- <b>3.3.</b>
-
- TF-IDF calculation
-
- </a>
-
-
-
- </li>
-
- <li class="chapter " data-level="3.4" data-path="ft_trans.html">
-
- <a href="ft_trans.html">
-
-
- <b>3.4.</b>
-
- FEATURE TRANSFORMATION
-
- </a>
-
-
-
- <ul class="articles">
-
-
- <li class="chapter active" data-level="3.4.1" data-path="vectorizer.html">
-
- <a href="vectorizer.html">
-
-
- <b>3.4.1.</b>
-
- Vectorize Features
-
- </a>
-
-
-
- </li>
-
- <li class="chapter " data-level="3.4.2" data-path="quantify.html">
-
- <a href="quantify.html">
-
-
- <b>3.4.2.</b>
-
- Quantify non-number features
-
- </a>
-
-
-
- </li>
-
-
- </ul>
-
- </li>
-
- <li class="chapter " data-level="3.5" data-path="feature_selection.html">
-
- <a href="feature_selection.html">
-
-
- <b>3.5.</b>
-
- Feature selection
-
- </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 - Binary classification</li>
-
-
-
- <li class="chapter " data-level="5.1" data-path="../binaryclass/a9a.html">
-
- <a href="../binaryclass/a9a.html">
-
-
- <b>5.1.</b>
-
- a9a Tutorial
-
- </a>
-
-
-
- <ul class="articles">
-
-
- <li class="chapter " data-level="5.1.1" data-path="../binaryclass/a9a_dataset.html">
-
- <a href="../binaryclass/a9a_dataset.html">
-
-
- <b>5.1.1.</b>
-
- Data preparation
-
- </a>
-
-
-
- </li>
-
- <li class="chapter " data-level="5.1.2" data-path="../binaryclass/a9a_lr.html">
-
- <a href="../binaryclass/a9a_lr.html">
-
-
- <b>5.1.2.</b>
-
- Logistic Regression
-
- </a>
-
-
-
- </li>
-
- <li class="chapter " data-level="5.1.3" data-path="../binaryclass/a9a_minibatch.html">
-
- <a href="../binaryclass/a9a_minibatch.html">
-
-
- <b>5.1.3.</b>
-
- Mini-batch Gradient Descent
-
- </a>
-
-
-
- </li>
-
-
- </ul>
-
- </li>
-
- <li class="chapter " data-level="5.2" data-path="../binaryclass/news20.html">
-
- <a href="../binaryclass/news20.html">
-
-
- <b>5.2.</b>
-
- News20 Tutorial
-
- </a>
-
-
-
- <ul class="articles">
-
-
- <li class="chapter " data-level="5.2.1" data-path="../binaryclass/news20_dataset.html">
-
- <a href="../binaryclass/news20_dataset.html">
-
-
- <b>5.2.1.</b>
-
- Data preparation
-
- </a>
-
-
-
- </li>
-
- <li class="chapter " data-level="5.2.2" data-path="../binaryclass/news20_pa.html">
-
- <a href="../binaryclass/news20_pa.html">
-
-
- <b>5.2.2.</b>
-
- Perceptron, Passive Aggressive
-
- </a>
-
-
-
- </li>
-
- <li class="chapter " data-level="5.2.3" data-path="../binaryclass/news20_scw.html">
-
- <a href="../binaryclass/news20_scw.html">
-
-
- <b>5.2.3.</b>
-
- CW, AROW, SCW
-
- </a>
-
-
-
- </li>
-
- <li class="chapter " data-level="5.2.4" data-path="../binaryclass/news20_adagrad.html">
-
- <a href="../binaryclass/news20_adagrad.html">
-
-
- <b>5.2.4.</b>
-
- AdaGradRDA, AdaGrad, AdaDelta
-
- </a>
-
-
-
- </li>
-
-
- </ul>
-
- </li>
-
- <li class="chapter " data-level="5.3" data-path="../binaryclass/kdd2010a.html">
-
- <a href="../binaryclass/kdd2010a.html">
-
-
- <b>5.3.</b>
-
- KDD2010a Tutorial
-
- </a>
-
-
-
- <ul class="articles">
-
-
- <li class="chapter " data-level="5.3.1" data-path="../binaryclass/kdd2010a_dataset.html">
-
- <a href="../binaryclass/kdd2010a_dataset.html">
-
-
- <b>5.3.1.</b>
-
- Data preparation
-
- </a>
-
-
-
- </li>
-
- <li class="chapter " data-level="5.3.2" data-path="../binaryclass/kdd2010a_scw.html">
-
- <a href="../binaryclass/kdd2010a_scw.html">
-
-
- <b>5.3.2.</b>
-
- PA, CW, AROW, SCW
-
- </a>
-
-
-
- </li>
-
-
- </ul>
-
- </li>
-
- <li class="chapter " data-level="5.4" data-path="../binaryclass/kdd2010b.html">
-
- <a href="../binaryclass/kdd2010b.html">
-
-
- <b>5.4.</b>
-
- KDD2010b Tutorial
-
- </a>
-
-
-
- <ul class="articles">
-
-
- <li class="chapter " data-level="5.4.1" data-path="../binaryclass/kdd2010b_dataset.html">
-
- <a href="../binaryclass/kdd2010b_dataset.html">
-
-
- <b>5.4.1.</b>
-
- Data preparation
-
- </a>
-
-
-
- </li>
-
- <li class="chapter " data-level="5.4.2" data-path="../binaryclass/kdd2010b_arow.html">
-
- <a href="../binaryclass/kdd2010b_arow.html">
-
-
- <b>5.4.2.</b>
-
- AROW
-
- </a>
-
-
-
- </li>
-
-
- </ul>
-
- </li>
-
- <li class="chapter " data-level="5.5" data-path="../binaryclass/webspam.html">
-
- <a href="../binaryclass/webspam.html">
-
-
- <b>5.5.</b>
-
- Webspam Tutorial
-
- </a>
-
-
-
- <ul class="articles">
-
-
- <li class="chapter " data-level="5.5.1" data-path="../binaryclass/webspam_dataset.html">
-
- <a href="../binaryclass/webspam_dataset.html">
-
-
- <b>5.5.1.</b>
-
- Data pareparation
-
- </a>
-
-
-
- </li>
-
- <li class="chapter " data-level="5.5.2" data-path="../binaryclass/webspam_scw.html">
-
- <a href="../binaryclass/webspam_scw.html">
-
-
- <b>5.5.2.</b>
-
- PA1, AROW, SCW
-
- </a>
-
-
-
- </li>
-
-
- </ul>
-
- </li>
-
- <li class="chapter " data-level="5.6" data-path="../binaryclass/titanic_rf.html">
-
- <a href="../binaryclass/titanic_rf.html">
-
-
- <b>5.6.</b>
-
- Kaggle Titanic Tutorial
-
- </a>
-
-
-
- </li>
-
-
-
-
- <li class="header">Part VI - Multiclass classification</li>
-
-
-
- <li class="chapter " data-level="6.1" data-path="../multiclass/news20.html">
-
- <a href="../multiclass/news20.html">
-
-
- <b>6.1.</b>
-
- News20 Multiclass Tutorial
-
- </a>
-
-
-
- <ul class="articles">
-
-
- <li class="chapter " data-level="6.1.1" data-path="../multiclass/news20_dataset.html">
-
- <a href="../multiclass/news20_dataset.html">
-
-
- <b>6.1.1.</b>
-
- Data preparation
-
- </a>
-
-
-
- </li>
-
- <li class="chapter " data-level="6.1.2" data-path="../multiclass/news20_one-vs-the-rest_dataset.html">
-
- <a href="../multiclass/news20_one-vs-the-rest_dataset.html">
-
-
- <b>6.1.2.</b>
-
- Data preparation for one-vs-the-rest classifiers
-
- </a>
-
-
-
- </li>
-
- <li class="chapter " data-level="6.1.3" data-path="../multiclass/news20_pa.html">
-
- <a href="../multiclass/news20_pa.html">
-
-
- <b>6.1.3.</b>
-
- PA
-
- </a>
-
-
-
- </li>
-
- <li class="chapter " data-level="6.1.4" data-path="../multiclass/news20_scw.html">
-
- <a href="../multiclass/news20_scw.html">
-
-
- <b>6.1.4.</b>
-
- CW, AROW, SCW
-
- </a>
-
-
-
- </li>
-
- <li class="chapter " data-level="6.1.5" data-path="../multiclass/news20_ensemble.html">
-
- <a href="../multiclass/news20_ensemble.html">
-
-
- <b>6.1.5.</b>
-
- Ensemble learning
-
- </a>
-
-
-
- </li>
-
- <li class="chapter " data-level="6.1.6" data-path="../multiclass/news20_one-vs-the-rest.html">
-
- <a href="../multiclass/news20_one-vs-the-rest.html">
-
-
- <b>6.1.6.</b>
-
- one-vs-the-rest classifier
-
- </a>
-
-
-
- </li>
-
-
- </ul>
-
- </li>
-
- <li class="chapter " data-level="6.2" data-path="../multiclass/iris.html">
-
- <a href="../multiclass/iris.html">
-
-
- <b>6.2.</b>
-
- Iris Tutorial
-
- </a>
-
-
-
- <ul class="articles">
-
-
- <li class="chapter " data-level="6.2.1" data-path="../multiclass/iris_dataset.html">
-
- <a href="../multiclass/iris_dataset.html">
-
-
- <b>6.2.1.</b>
-
- Data preparation
-
- </a>
-
-
-
- </li>
-
- <li class="chapter " data-level="6.2.2" data-path="../multiclass/iris_scw.html">
-
- <a href="../multiclass/iris_scw.html">
-
-
- <b>6.2.2.</b>
-
- SCW
-
- </a>
-
-
-
- </li>
-
- <li class="chapter " data-level="6.2.3" data-path="../multiclass/iris_randomforest.html">
-
- <a href="../multiclass/iris_randomforest.html">
-
-
- <b>6.2.3.</b>
-
- RandomForest
-
- </a>
-
-
-
- </li>
-
-
- </ul>
-
- </li>
-
-
-
-
- <li class="header">Part VII - Regression</li>
-
-
-
- <li class="chapter " data-level="7.1" data-path="../regression/e2006.html">
-
- <a href="../regression/e2006.html">
-
-
- <b>7.1.</b>
-
- E2006-tfidf regression Tutorial
-
- </a>
-
-
-
- <ul class="articles">
-
-
- <li class="chapter " data-level="7.1.1" data-path="../regression/e2006_dataset.html">
-
- <a href="../regression/e2006_dataset.html">
-
-
- <b>7.1.1.</b>
-
- Data preparation
-
- </a>
-
-
-
- </li>
-
- <li class="chapter " data-level="7.1.2" data-path="../regression/e2006_arow.html">
-
- <a href="../regression/e2006_arow.html">
-
-
- <b>7.1.2.</b>
-
- Passive Aggressive, AROW
-
- </a>
-
-
-
- </li>
-
-
- </ul>
-
- </li>
-
- <li class="chapter " data-level="7.2" data-path="../regression/kddcup12tr2.html">
-
- <a href="../regression/kddcup12tr2.html">
-
-
- <b>7.2.</b>
-
- KDDCup 2012 track 2 CTR prediction Tutorial
-
- </a>
-
-
-
- <ul class="articles">
-
-
- <li class="chapter " data-level="7.2.1" data-path="../regression/kddcup12tr2_dataset.html">
-
- <a href="../regression/kddcup12tr2_dataset.html">
-
-
- <b>7.2.1.</b>
-
- Data preparation
-
- </a>
-
-
-
- </li>
-
- <li class="chapter " data-level="7.2.2" data-path="../regression/kddcup12tr2_lr.html">
-
- <a href="../regression/kddcup12tr2_lr.html">
-
-
- <b>7.2.2.</b>
-
- Logistic Regression, Passive Aggressive
-
- </a>
-
-
-
- </li>
-
- <li class="chapter " data-level="7.2.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
-
- <a href="../regression/kddcup12tr2_lr_amplify.html">
-
-
- <b>7.2.3.</b>
-
- Logistic Regression with Amplifier
-
- </a>
-
-
-
- </li>
-
- <li class="chapter " data-level="7.2.4" data-path="../regression/kddcup12tr2_adagrad.html">
-
- <a href="../regression/kddcup12tr2_adagrad.html">
-
-
- <b>7.2.4.</b>
-
- AdaGrad, AdaDelta
-
- </a>
-
-
-
- </li>
-
-
- </ul>
-
- </li>
-
-
-
-
- <li class="header">Part VIII - Recommendation</li>
-
-
-
- <li class="chapter " data-level="8.1" data-path="../recommend/cf.html">
-
- <a href="../recommend/cf.html">
-
-
- <b>8.1.</b>
-
- Collaborative Filtering
-
- </a>
-
-
-
- <ul class="articles">
-
-
- <li class="chapter " data-level="8.1.1" data-path="../recommend/item_based_cf.html">
-
- <a href="../recommend/item_based_cf.html">
-
-
- <b>8.1.1.</b>
-
- Item-based Collaborative Filtering
-
- </a>
-
-
-
- </li>
-
-
- </ul>
-
- </li>
-
- <li class="chapter " data-level="8.2" data-path="../recommend/news20.html">
-
- <a href="../recommend/news20.html">
-
-
- <b>8.2.</b>
-
- News20 related article recommendation Tutorial
-
- </a>
-
-
-
- <ul class="articles">
-
-
- <li class="chapter " data-level="8.2.1" data-path="../multiclass/news20_dataset.html">
-
- <a href="../multiclass/news20_dataset.html">
-
-
- <b>8.2.1.</b>
-
- Data preparation
-
- </a>
-
-
-
- </li>
-
- <li class="chapter " data-level="8.2.2" data-path="../recommend/news20_jaccard.html">
-
- <a href="../recommend/news20_jaccard.html">
-
-
- <b>8.2.2.</b>
-
- LSH/Minhash and Jaccard Similarity
-
- </a>
-
-
-
- </li>
-
- <li class="chapter " data-level="8.2.3" data-path="../recommend/news20_knn.html">
-
- <a href="../recommend/news20_knn.html">
-
-
- <b>8.2.3.</b>
-
- LSH/Minhash and Brute-Force Search
-
- </a>
-
-
-
- </li>
-
- <li class="chapter " data-level="8.2.4" data-path="../recommend/news20_bbit_minhash.html">
-
- <a href="../recommend/news20_bbit_minhash.html">
-
-
- <b>8.2.4.</b>
-
- kNN search using b-Bits Minhash
-
- </a>
-
-
-
- </li>
-
-
- </ul>
-
- </li>
-
- <li class="chapter " data-level="8.3" data-path="../recommend/movielens.html">
-
- <a href="../recommend/movielens.html">
-
-
- <b>8.3.</b>
-
- MovieLens movie recommendation Tutorial
-
- </a>
-
-
-
- <ul class="articles">
-
-
- <li class="chapter " data-level="8.3.1" data-path="../recommend/movielens_dataset.html">
-
- <a href="../recommend/movielens_dataset.html">
-
-
- <b>8.3.1.</b>
-
- Data preparation
-
- </a>
-
-
-
- </li>
-
- <li class="chapter " data-level="8.3.2" data-path="../recommend/movielens_mf.html">
-
- <a href="../recommend/movielens_mf.html">
-
-
- <b>8.3.2.</b>
-
- Matrix Factorization
-
- </a>
-
-
-
- </li>
-
- <li class="chapter " data-level="8.3.3" data-path="../recommend/movielens_fm.html">
-
- <a href="../recommend/movielens_fm.html">
-
-
- <b>8.3.3.</b>
-
- Factorization Machine
-
- </a>
-
-
-
- </li>
-
- <li class="chapter " data-level="8.3.4" data-path="../recommend/movielens_cv.html">
-
- <a href="../recommend/movielens_cv.html">
-
-
- <b>8.3.4.</b>
-
- 10-fold Cross Validation (Matrix Factorization)
-
- </a>
-
-
-
- </li>
-
-
- </ul>
-
- </li>
-
-
-
-
- <li class="header">Part IX - Anomaly Detection</li>
-
-
-
- <li class="chapter " data-level="9.1" data-path="../anomaly/lof.html">
-
- <a href="../anomaly/lof.html">
-
-
- <b>9.1.</b>
-
- Outlier Detection using Local Outlier Factor (LOF)
-
- </a>
-
-
-
- </li>
-
- <li class="chapter " data-level="9.2" data-path="../anomaly/sst.html">
-
- <a href="../anomaly/sst.html">
-
-
- <b>9.2.</b>
-
- Change-Point Detection using Singular Spectrum Transformation (SST)
-
- </a>
-
-
-
- </li>
-
- <li class="chapter " data-level="9.3" data-path="../anomaly/changefinder.html">
-
- <a href="../anomaly/changefinder.html">
-
-
- <b>9.3.</b>
-
- ChangeFinder: Detecting Outlier and Change-Point Simultaneously
-
- </a>
-
-
-
- </li>
-
-
-
-
- <li class="header">Part X - Clustering</li>
-
-
-
- <li class="chapter " data-level="10.1" data-path="../clustering/lda.html">
-
- <a href="../clustering/lda.html">
-
-
- <b>10.1.</b>
-
- Latent Dirichlet Allocation
-
- </a>
-
-
-
- </li>
-
- <li class="chapter " data-level="10.2" data-path="../clustering/plsa.html">
-
- <a href="../clustering/plsa.html">
-
-
- <b>10.2.</b>
-
- Probabilistic Latent Semantic Analysis
-
- </a>
-
-
-
- </li>
-
-
-
-
- <li class="header">Part XI - GeoSpatial functions</li>
-
-
-
- <li class="chapter " data-level="11.1" data-path="../geospatial/latlon.html">
-
- <a href="../geospatial/latlon.html">
-
-
- <b>11.1.</b>
-
- Lat/Lon functions
-
- </a>
-
-
-
- </li>
-
-
-
-
- <li class="header">Part XII - Hivemall on Spark</li>
-
-
-
- <li class="chapter " data-level="12.1" data-path="../spark/getting_started/">
-
- <a href="../spark/getting_started/">
-
-
- <b>12.1.</b>
-
- Getting Started
-
- </a>
-
-
-
- <ul class="articles">
-
-
- <li class="chapter " data-level="12.1.1" data-path="../spark/getting_started/installation.html">
-
- <a href="../spark/getting_started/installation.html">
-
-
- <b>12.1.1.</b>
-
- Installation
-
- </a>
-
-
-
- </li>
-
-
- </ul>
-
- </li>
-
- <li class="chapter " data-level="12.2" data-path="../spark/binaryclass/">
-
- <a href="../spark/binaryclass/">
-
-
- <b>12.2.</b>
-
- Binary Classification
-
- </a>
-
-
-
- <ul class="articles">
-
-
- <li class="chapter " data-level="12.2.1" data-path="../spark/binaryclass/a9a_df.html">
-
- <a href="../spark/binaryclass/a9a_df.html">
-
-
- <b>12.2.1.</b>
-
- a9a Tutorial for DataFrame
-
- </a>
-
-
-
- </li>
-
-
- </ul>
-
- </li>
-
- <li class="chapter " data-level="12.3" data-path="../spark/binaryclass/">
-
- <a href="../spark/binaryclass/">
-
-
- <b>12.3.</b>
-
- Regression
-
- </a>
-
-
-
- <ul class="articles">
-
-
- <li class="chapter " data-level="12.3.1" data-path="../spark/regression/e2006_df.html">
-
- <a href="../spark/regression/e2006_df.html">
-
-
- <b>12.3.1.</b>
-
- E2006-tfidf regression Tutorial for DataFrame
-
- </a>
-
-
-
- </li>
-
-
- </ul>
-
- </li>
-
- <li class="chapter " data-level="12.4" data-path="../spark/misc/misc.html">
-
- <a href="../spark/misc/misc.html">
-
-
- <b>12.4.</b>
-
- Generic features
-
- </a>
-
-
-
- <ul class="articles">
-
-
- <li class="chapter " data-level="12.4.1" data-path="../spark/misc/topk_join.html">
-
- <a href="../spark/misc/topk_join.html">
-
-
- <b>12.4.1.</b>
-
- Top-k Join processing
-
- </a>
-
-
-
- </li>
-
- <li class="chapter " data-level="12.4.2" data-path="../spark/misc/functions.html">
-
- <a href="../spark/misc/functions.html">
-
-
- <b>12.4.2.</b>
-
- Other utility functions
-
- </a>
-
-
-
- </li>
-
-
- </ul>
-
- </li>
-
-
-
-
- <li class="header">Part XIII - Hivemall on Docker</li>
-
-
-
- <li class="chapter " data-level="13.1" data-path="../docker/getting_started.html">
-
- <a href="../docker/getting_started.html">
-
-
- <b>13.1.</b>
-
- Getting Started
-
- </a>
-
-
-
- </li>
-
-
-
-
- <li class="header">Part XIV - External References</li>
-
-
-
- <li class="chapter " data-level="14.1" >
-
- <a target="_blank" href="https://github.com/maropu/hivemall-spark">
-
-
- <b>14.1.</b>
-
- Hivemall on Apache Spark
-
- </a>
-
-
-
- </li>
-
- <li class="chapter " data-level="14.2" >
-
- <a target="_blank" href="https://github.com/daijyc/hivemall/wiki/PigHome">
-
-
- <b>14.2.</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
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-
- <div class="book-body">
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-
-
- <!-- Title -->
- <h1>
- <i class="fa fa-circle-o-notch fa-spin"></i>
- <a href=".." >Vectorize Features</a>
- </h1>
-</div>
-
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- with the License. You may obtain a copy of the License at
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- 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.
--->
-<h2 id="feature-vectorizer">Feature Vectorizer</h2>
-<p><code>array<string> vectorize_feature(array<string> featureNames, ...)</code> is useful to generate a feature vector for each row, from a table.</p>
-<pre><code class="lang-sql">select vectorize_features(array("a","b"),"0.2","0.3") from dual;
->["a:0.2","b:0.3"]
-
--- avoid zero weight
-select vectorize_features(array("a","b"),"0.2",0) from dual;
-> ["a:0.2"]
-
--- true boolean value is treated as 1.0 (a categorical value w/ its column name)
-select vectorize_features(array("a","b","bool"),0.2,0.3,true) from dual;
-> ["a:0.2","b:0.3","bool:1.0"]
-
--- an example to generate feature vectors from table
-select * from dual;
-> 1
-select vectorize_features(array("a"),*) from dual;
-> ["a:1.0"]
-
--- has categorical feature
-select vectorize_features(array("a","b","wheather"),"0.2","0.3","sunny") from dual;
-> ["a:0.2","b:0.3","whether#sunny"]
-</code></pre>
-<pre><code class="lang-sql">select
- id,
- vectorize_features(
- array("age","job","marital","education","default","balance","housing","loan","contact","day","month","duration","campaign","pdays","previous","poutcome"),
- age,job,marital,education,default,balance,housing,loan,contact,day,month,duration,campaign,pdays,previous,poutcome
- ) as features,
- y
-from
- train
-limit 2;
-
-> 1 ["age:39.0","job#blue-collar","marital#married","education#secondary","default#no","balance:1756.0","housing#yes","loan#no","contact#cellular","day:3.0","month#apr","duration:939.0","campaign:1.0","pdays:-1.0","poutcome#unknown"] 1
-> 2 ["age:51.0","job#entrepreneur","marital#married","education#primary","default#no","balance:1443.0","housing#no","loan#no","contact#cellular","day:18.0","month#feb","duration:172.0","campaign:10.0","pdays:-1.0","poutcome#unknown"] 1
-</code></pre>
-<p><div id="page-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>
-
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-
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-
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- gitbook.page.hasChanged({"page":{"title":"Vectorize Features","level":"3.4.1","depth":2,"next":{"title":"Quantify non-number features","level":"3.4.2","depth":2,"path":"ft_engineering/quantify.md","ref":"ft_engineering/quantify.md","articles":[]},"previous":{"title":"FEATURE TRANSFORMATION","level":"3.4","depth":1,"path":"ft_engineering/ft_trans.md","ref":"ft_engineering/ft_trans.md","articles":[{"title":"Vectorize Features","level":"3.4.1","depth":2,"path":"ft_engineering/vectorizer.md","ref":"ft_engineering/vectorizer.md","articles":[]},{"title":"Quantify non-number features","level":"3.4.2","depth":2,"path":"ft_engineering/quantify.md","ref":"ft_engineering/quantify.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
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-
http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/15b9991a/userguide/geospatial/latlon.html
----------------------------------------------------------------------
diff --git a/userguide/geospatial/latlon.html b/userguide/geospatial/latlon.html
index c991bda..37e2eca 100644
--- a/userguide/geospatial/latlon.html
+++ b/userguide/geospatial/latlon.html
@@ -568,14 +568,14 @@
</li>
- <li class="chapter " data-level="3.3" data-path="../ft_engineering/tfidf.html">
+ <li class="chapter " data-level="3.3" data-path="../ft_engineering/selection.html">
- <a href="../ft_engineering/tfidf.html">
+ <a href="../ft_engineering/selection.html">
<b>3.3.</b>
- TF-IDF calculation
+ Feature Selection
</a>
@@ -583,30 +583,29 @@
</li>
- <li class="chapter " data-level="3.4" data-path="../ft_engineering/ft_trans.html">
+ <li class="chapter " data-level="3.4" data-path="../ft_engineering/binning.html">
- <a href="../ft_engineering/ft_trans.html">
+ <a href="../ft_engineering/binning.html">
<b>3.4.</b>
- FEATURE TRANSFORMATION
+ Feature Binning
</a>
- <ul class="articles">
-
+ </li>
- <li class="chapter " data-level="3.4.1" data-path="../ft_engineering/vectorizer.html">
+ <li class="chapter " data-level="3.5" data-path="../ft_engineering/tfidf.html">
- <a href="../ft_engineering/vectorizer.html">
+ <a href="../ft_engineering/tfidf.html">
- <b>3.4.1.</b>
+ <b>3.5.</b>
- Vectorize Features
+ TF-IDF Calculation
</a>
@@ -614,34 +613,45 @@
</li>
- <li class="chapter " data-level="3.4.2" data-path="../ft_engineering/quantify.html">
+ <li class="chapter " data-level="3.6" data-path="../ft_engineering/ft_trans.html">
- <a href="../ft_engineering/quantify.html">
+ <a href="../ft_engineering/ft_trans.html">
- <b>3.4.2.</b>
+ <b>3.6.</b>
- Quantify non-number features
+ FEATURE TRANSFORMATION
</a>
- </li>
+ <ul class="articles">
+
+ <li class="chapter " data-level="3.6.1" data-path="../ft_engineering/vectorization.html">
+
+ <a href="../ft_engineering/vectorization.html">
+
+
+ <b>3.6.1.</b>
+
+ Feature Vectorization
+
+ </a>
+
- </ul>
</li>
- <li class="chapter " data-level="3.5" data-path="../ft_engineering/feature_selection.html">
+ <li class="chapter " data-level="3.6.2" data-path="../ft_engineering/quantify.html">
- <a href="../ft_engineering/feature_selection.html">
+ <a href="../ft_engineering/quantify.html">
- <b>3.5.</b>
+ <b>3.6.2.</b>
- Feature selection
+ Quantify non-number features
</a>
@@ -650,6 +660,11 @@
</li>
+ </ul>
+
+ </li>
+
+
<li class="header">Part IV - Evaluation</li>
@@ -2163,7 +2178,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
<script>
var gitbook = gitbook || [];
gitbook.push(function() {
- gitbook.page.hasChanged({"page":{"title":"Lat/Lon functions","level":"11.1","depth":1,"next":{"title":"Getting Started","level":"12.1","depth":1,"path":"spark/getting_started/README.md","ref":"spark/getting_started/README.md","articles":[{"title":"Installation","level":"12.1.1","depth":2,"path":"spark/getting_started/installation.md","ref":"spark/getting_started/installation.md","articles":[]}]},"previous":{"title":"Probabilistic Latent Semantic Analysis","level":"10.2","depth":1,"path":"clustering/plsa.md","ref":"clustering/plsa.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"},"pluginsCo
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----------------------------------------------------------------------
diff --git a/userguide/getting_started/index.html b/userguide/getting_started/index.html
index 0c855e7..1a49427 100644
--- a/userguide/getting_started/index.html
+++ b/userguide/getting_started/index.html
@@ -568,14 +568,14 @@
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- <li class="chapter " data-level="3.3" data-path="../ft_engineering/tfidf.html">
+ <li class="chapter " data-level="3.3" data-path="../ft_engineering/selection.html">
- <a href="../ft_engineering/tfidf.html">
+ <a href="../ft_engineering/selection.html">
<b>3.3.</b>
- TF-IDF calculation
+ Feature Selection
</a>
@@ -583,30 +583,29 @@
</li>
- <li class="chapter " data-level="3.4" data-path="../ft_engineering/ft_trans.html">
+ <li class="chapter " data-level="3.4" data-path="../ft_engineering/binning.html">
- <a href="../ft_engineering/ft_trans.html">
+ <a href="../ft_engineering/binning.html">
<b>3.4.</b>
- FEATURE TRANSFORMATION
+ Feature Binning
</a>
- <ul class="articles">
-
+ </li>
- <li class="chapter " data-level="3.4.1" data-path="../ft_engineering/vectorizer.html">
+ <li class="chapter " data-level="3.5" data-path="../ft_engineering/tfidf.html">
- <a href="../ft_engineering/vectorizer.html">
+ <a href="../ft_engineering/tfidf.html">
- <b>3.4.1.</b>
+ <b>3.5.</b>
- Vectorize Features
+ TF-IDF Calculation
</a>
@@ -614,34 +613,45 @@
</li>
- <li class="chapter " data-level="3.4.2" data-path="../ft_engineering/quantify.html">
+ <li class="chapter " data-level="3.6" data-path="../ft_engineering/ft_trans.html">
- <a href="../ft_engineering/quantify.html">
+ <a href="../ft_engineering/ft_trans.html">
- <b>3.4.2.</b>
+ <b>3.6.</b>
- Quantify non-number features
+ FEATURE TRANSFORMATION
</a>
- </li>
+ <ul class="articles">
+
+ <li class="chapter " data-level="3.6.1" data-path="../ft_engineering/vectorization.html">
+
+ <a href="../ft_engineering/vectorization.html">
+
+
+ <b>3.6.1.</b>
+
+ Feature Vectorization
+
+ </a>
+
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</li>
- <li class="chapter " data-level="3.5" data-path="../ft_engineering/feature_selection.html">
+ <li class="chapter " data-level="3.6.2" data-path="../ft_engineering/quantify.html">
- <a href="../ft_engineering/feature_selection.html">
+ <a href="../ft_engineering/quantify.html">
- <b>3.5.</b>
+ <b>3.6.2.</b>
- Feature selection
+ Quantify non-number features
</a>
@@ -650,6 +660,11 @@
</li>
+ </ul>
+
+ </li>
+
+
<li class="header">Part IV - Evaluation</li>
@@ -2048,7 +2063,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
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[13/19] incubator-hivemall-site git commit: Added feature binning
documentation
Posted by my...@apache.org.
http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/15b9991a/userguide/ft_engineering/hashing.html
----------------------------------------------------------------------
diff --git a/userguide/ft_engineering/hashing.html b/userguide/ft_engineering/hashing.html
index 60e2362..d2b5bc3 100644
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@@ -97,7 +97,7 @@
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<link rel="prev" href="scaling.html" />
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- <a href="tfidf.html">
+ <a href="selection.html">
<b>3.3.</b>
- TF-IDF calculation
+ Feature Selection
</a>
@@ -583,30 +583,29 @@
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+ <a href="binning.html">
<b>3.4.</b>
- FEATURE TRANSFORMATION
+ Feature Binning
</a>
- <ul class="articles">
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- <a href="vectorizer.html">
+ <a href="tfidf.html">
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+ <b>3.5.</b>
- Vectorize Features
+ TF-IDF Calculation
</a>
@@ -614,34 +613,45 @@
</li>
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+ <a href="ft_trans.html">
- <b>3.4.2.</b>
+ <b>3.6.</b>
- Quantify non-number features
+ FEATURE TRANSFORMATION
</a>
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+ <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
+
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+
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+ <a href="quantify.html">
- <b>3.5.</b>
+ <b>3.6.2.</b>
- Feature selection
+ Quantify non-number features
</a>
@@ -650,6 +660,11 @@
</li>
+ </ul>
+
+ </li>
+
+
<li class="header">Part IV - Evaluation</li>
@@ -2128,7 +2143,7 @@ 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/15b9991a/userguide/ft_engineering/quantify.html
----------------------------------------------------------------------
diff --git a/userguide/ft_engineering/quantify.html b/userguide/ft_engineering/quantify.html
index a5a5854..324afc0 100644
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@@ -97,10 +97,10 @@
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@@ -568,14 +568,14 @@
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+ Feature Selection
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@@ -583,30 +583,29 @@
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+ <a href="binning.html">
<b>3.4.</b>
- FEATURE TRANSFORMATION
+ Feature Binning
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- <b>3.4.1.</b>
+ <b>3.5.</b>
- Vectorize Features
+ TF-IDF Calculation
</a>
@@ -614,34 +613,45 @@
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- <li class="chapter active" data-level="3.4.2" data-path="quantify.html">
+ <li class="chapter " data-level="3.6" data-path="ft_trans.html">
- <a href="quantify.html">
+ <a href="ft_trans.html">
- <b>3.4.2.</b>
+ <b>3.6.</b>
- Quantify non-number features
+ FEATURE TRANSFORMATION
</a>
- </li>
+ <ul class="articles">
+
+ <li class="chapter " data-level="3.6.1" data-path="vectorization.html">
+
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+
+
+ <b>3.6.1.</b>
+
+ Feature Vectorization
+
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+
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</li>
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- <a href="feature_selection.html">
+ <a href="quantify.html">
- <b>3.5.</b>
+ <b>3.6.2.</b>
- Feature selection
+ Quantify non-number features
</a>
@@ -650,6 +660,11 @@
</li>
+ </ul>
+
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+
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@@ -2195,7 +2210,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
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----------------------------------------------------------------------
diff --git a/userguide/ft_engineering/scaling.html b/userguide/ft_engineering/scaling.html
index aa178f9..73ca840 100644
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@@ -568,14 +568,14 @@
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+ <a href="selection.html">
<b>3.3.</b>
- TF-IDF calculation
+ Feature Selection
</a>
@@ -583,30 +583,29 @@
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+ <li class="chapter " data-level="3.4" data-path="binning.html">
- <a href="ft_trans.html">
+ <a href="binning.html">
<b>3.4.</b>
- FEATURE TRANSFORMATION
+ Feature Binning
</a>
- <ul class="articles">
-
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- <li class="chapter " data-level="3.4.1" data-path="vectorizer.html">
+ <li class="chapter " data-level="3.5" data-path="tfidf.html">
- <a href="vectorizer.html">
+ <a href="tfidf.html">
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+ <b>3.5.</b>
- Vectorize Features
+ TF-IDF Calculation
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@@ -614,34 +613,45 @@
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+ <a href="ft_trans.html">
- <b>3.4.2.</b>
+ <b>3.6.</b>
- Quantify non-number features
+ FEATURE TRANSFORMATION
</a>
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+
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+
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+
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+
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+
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+ <b>3.6.2.</b>
- Feature selection
+ Quantify non-number features
</a>
@@ -650,6 +660,11 @@
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+
+ </li>
+
+
<li class="header">Part IV - Evaluation</li>
@@ -1992,6 +2007,16 @@
specific language governing permissions and limitations
under the License.
-->
+<!-- toc --><div id="toc" class="toc">
+
+<ul>
+<li><a href="#min-max-normalization">Min-Max Normalization</a></li>
+<li><a href="#feature-scaling-by-zscore">Feature scaling by zscore</a></li>
+<li><a href="#apply-normalization-to-more-complex-feature-vector">Apply Normalization to more complex feature vector</a></li>
+<li><a href="#tips-for-using-both-min-max-and-zscore-normalization">Tips for using both min-max and zscore normalization</a></li>
+</ul>
+
+</div><!-- tocstop -->
<h1 id="min-max-normalization">Min-Max Normalization</h1>
<p><a href="http://en.wikipedia.org/wiki/Feature_scaling#Rescaling" target="_blank">http://en.wikipedia.org/wiki/Feature_scaling#Rescaling</a></p>
<pre><code class="lang-sql"><span class="hljs-keyword">select</span> <span class="hljs-keyword">min</span>(target), <span class="hljs-keyword">max</span>(target)
@@ -2199,7 +2224,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
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[03/19] incubator-hivemall-site git commit: Added feature binning
documentation
Posted by my...@apache.org.
http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/15b9991a/userguide/sitemap.xml
----------------------------------------------------------------------
diff --git a/userguide/sitemap.xml b/userguide/sitemap.xml
index 962e9cc..c08ff5e 100644
--- a/userguide/sitemap.xml
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<url> <loc>http://hivemall.incubator.apache.org/ft_engineering/hashing.html</loc> <changefreq>weekly</changefreq> <priority>0.5</priority> </url>
+<url> <loc>http://hivemall.incubator.apache.org/ft_engineering/selection.html</loc> <changefreq>weekly</changefreq> <priority>0.5</priority> </url>
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-<url> <loc>http://hivemall.incubator.apache.org/ft_engineering/vectorizer.html</loc> <changefreq>weekly</changefreq> <priority>0.5</priority> </url>
+<url> <loc>http://hivemall.incubator.apache.org/ft_engineering/vectorization.html</loc> <changefreq>weekly</changefreq> <priority>0.5</priority> </url>
<url> <loc>http://hivemall.incubator.apache.org/ft_engineering/quantify.html</loc> <changefreq>weekly</changefreq> <priority>0.5</priority> </url>
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<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>
http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/15b9991a/userguide/spark/binaryclass/a9a_df.html
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diff --git a/userguide/spark/binaryclass/a9a_df.html b/userguide/spark/binaryclass/a9a_df.html
index 9fae669..c787269 100644
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+++ b/userguide/spark/binaryclass/a9a_df.html
@@ -568,14 +568,14 @@
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- <li class="chapter " data-level="3.3" data-path="../../ft_engineering/tfidf.html">
+ <li class="chapter " data-level="3.3" data-path="../../ft_engineering/selection.html">
- <a href="../../ft_engineering/tfidf.html">
+ <a href="../../ft_engineering/selection.html">
<b>3.3.</b>
- TF-IDF calculation
+ Feature Selection
</a>
@@ -583,30 +583,29 @@
</li>
- <li class="chapter " data-level="3.4" data-path="../../ft_engineering/ft_trans.html">
+ <li class="chapter " data-level="3.4" data-path="../../ft_engineering/binning.html">
- <a href="../../ft_engineering/ft_trans.html">
+ <a href="../../ft_engineering/binning.html">
<b>3.4.</b>
- FEATURE TRANSFORMATION
+ Feature Binning
</a>
- <ul class="articles">
-
+ </li>
- <li class="chapter " data-level="3.4.1" data-path="../../ft_engineering/vectorizer.html">
+ <li class="chapter " data-level="3.5" data-path="../../ft_engineering/tfidf.html">
- <a href="../../ft_engineering/vectorizer.html">
+ <a href="../../ft_engineering/tfidf.html">
- <b>3.4.1.</b>
+ <b>3.5.</b>
- Vectorize Features
+ TF-IDF Calculation
</a>
@@ -614,34 +613,45 @@
</li>
- <li class="chapter " data-level="3.4.2" data-path="../../ft_engineering/quantify.html">
+ <li class="chapter " data-level="3.6" data-path="../../ft_engineering/ft_trans.html">
- <a href="../../ft_engineering/quantify.html">
+ <a href="../../ft_engineering/ft_trans.html">
- <b>3.4.2.</b>
+ <b>3.6.</b>
- Quantify non-number features
+ FEATURE TRANSFORMATION
</a>
- </li>
+ <ul class="articles">
+
+ <li class="chapter " data-level="3.6.1" data-path="../../ft_engineering/vectorization.html">
+
+ <a href="../../ft_engineering/vectorization.html">
+
+
+ <b>3.6.1.</b>
+
+ Feature Vectorization
+
+ </a>
+
- </ul>
</li>
- <li class="chapter " data-level="3.5" data-path="../../ft_engineering/feature_selection.html">
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+ <a href="../../ft_engineering/quantify.html">
- <b>3.5.</b>
+ <b>3.6.2.</b>
- Feature selection
+ Quantify non-number features
</a>
@@ -650,6 +660,11 @@
</li>
+ </ul>
+
+ </li>
+
+
<li class="header">Part IV - Evaluation</li>
@@ -2107,7 +2122,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
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[17/19] incubator-hivemall-site git commit: Added feature binning
documentation
Posted by my...@apache.org.
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+ <a href="../ft_engineering/selection.html">
<b>3.3.</b>
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+ <a href="../ft_engineering/binning.html">
<b>3.4.</b>
- FEATURE TRANSFORMATION
+ Feature Binning
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- <b>3.4.2.</b>
+ <b>3.6.</b>
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+ </ul>
+
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<b>3.3.</b>
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