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Posted to commits@hivemall.apache.org by my...@apache.org on 2018/12/26 10:22:55 UTC
[07/33] incubator-hivemall-site git commit: Update tutorial for
general classifier/regressor
http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/d9012d92/userguide/sitemap.xml
----------------------------------------------------------------------
diff --git a/userguide/sitemap.xml b/userguide/sitemap.xml
index 1984482..704fe4c 100644
--- a/userguide/sitemap.xml
+++ b/userguide/sitemap.xml
@@ -50,12 +50,14 @@
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<url> <loc>https://hivemall.incubator.apache.org/binaryclass/a9a_dataset.html</loc> <changefreq>weekly</changefreq> <priority>0.5</priority> </url>
+<url> <loc>https://hivemall.incubator.apache.org/binaryclass/a9a_generic.html</loc> <changefreq>weekly</changefreq> <priority>0.5</priority> </url>
<url> <loc>https://hivemall.incubator.apache.org/binaryclass/a9a_lr.html</loc> <changefreq>weekly</changefreq> <priority>0.5</priority> </url>
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<url> <loc>https://hivemall.incubator.apache.org/binaryclass/news20_pa.html</loc> <changefreq>weekly</changefreq> <priority>0.5</priority> </url>
<url> <loc>https://hivemall.incubator.apache.org/binaryclass/news20_scw.html</loc> <changefreq>weekly</changefreq> <priority>0.5</priority> </url>
+<url> <loc>https://hivemall.incubator.apache.org/binaryclass/news20_generic.html</loc> <changefreq>weekly</changefreq> <priority>0.5</priority> </url>
<url> <loc>https://hivemall.incubator.apache.org/binaryclass/news20_adagrad.html</loc> <changefreq>weekly</changefreq> <priority>0.5</priority> </url>
<url> <loc>https://hivemall.incubator.apache.org/binaryclass/news20_rf.html</loc> <changefreq>weekly</changefreq> <priority>0.5</priority> </url>
<url> <loc>https://hivemall.incubator.apache.org/binaryclass/kdd2010a.html</loc> <changefreq>weekly</changefreq> <priority>0.5</priority> </url>
@@ -85,6 +87,7 @@
<url> <loc>https://hivemall.incubator.apache.org/regression/general.html</loc> <changefreq>weekly</changefreq> <priority>0.5</priority> </url>
<url> <loc>https://hivemall.incubator.apache.org/regression/e2006.html</loc> <changefreq>weekly</changefreq> <priority>0.5</priority> </url>
<url> <loc>https://hivemall.incubator.apache.org/regression/e2006_dataset.html</loc> <changefreq>weekly</changefreq> <priority>0.5</priority> </url>
+<url> <loc>https://hivemall.incubator.apache.org/regression/e2006_generic.html</loc> <changefreq>weekly</changefreq> <priority>0.5</priority> </url>
<url> <loc>https://hivemall.incubator.apache.org/regression/e2006_arow.html</loc> <changefreq>weekly</changefreq> <priority>0.5</priority> </url>
<url> <loc>https://hivemall.incubator.apache.org/regression/kddcup12tr2.html</loc> <changefreq>weekly</changefreq> <priority>0.5</priority> </url>
<url> <loc>https://hivemall.incubator.apache.org/regression/kddcup12tr2_dataset.html</loc> <changefreq>weekly</changefreq> <priority>0.5</priority> </url>
http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/d9012d92/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 0919b23..b824646 100644
--- a/userguide/spark/binaryclass/a9a_df.html
+++ b/userguide/spark/binaryclass/a9a_df.html
@@ -4,7 +4,7 @@
<head>
<meta charset="UTF-8">
<meta content="text/html; charset=utf-8" http-equiv="Content-Type">
- <title>a9a tutorial for DataFrame · Hivemall User Manual</title>
+ <title>a9a Tutorial for DataFrame · Hivemall User Manual</title>
<meta http-equiv="X-UA-Compatible" content="IE=edge" />
<meta name="description" content="">
<meta name="generator" content="GitBook 3.2.3">
@@ -972,7 +972,7 @@
<b>6.2.1.</b>
- Data preparation
+ Data Preparation
</a>
@@ -980,13 +980,28 @@
</li>
- <li class="chapter " data-level="6.2.2" data-path="../../binaryclass/a9a_lr.html">
+ <li class="chapter " data-level="6.2.2" data-path="../../binaryclass/a9a_generic.html">
- <a href="../../binaryclass/a9a_lr.html">
+ <a href="../../binaryclass/a9a_generic.html">
<b>6.2.2.</b>
+ General Binary Classifier
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="6.2.3" data-path="../../binaryclass/a9a_lr.html">
+
+ <a href="../../binaryclass/a9a_lr.html">
+
+
+ <b>6.2.3.</b>
+
Logistic Regression
</a>
@@ -995,14 +1010,14 @@
</li>
- <li class="chapter " data-level="6.2.3" data-path="../../binaryclass/a9a_minibatch.html">
+ <li class="chapter " data-level="6.2.4" data-path="../../binaryclass/a9a_minibatch.html">
<a href="../../binaryclass/a9a_minibatch.html">
- <b>6.2.3.</b>
+ <b>6.2.4.</b>
- Mini-batch gradient descent
+ Mini-batch Gradient Descent
</a>
@@ -1038,7 +1053,7 @@
<b>6.3.1.</b>
- Data preparation
+ Data Preparation
</a>
@@ -1076,13 +1091,28 @@
</li>
- <li class="chapter " data-level="6.3.4" data-path="../../binaryclass/news20_adagrad.html">
+ <li class="chapter " data-level="6.3.4" data-path="../../binaryclass/news20_generic.html">
- <a href="../../binaryclass/news20_adagrad.html">
+ <a href="../../binaryclass/news20_generic.html">
<b>6.3.4.</b>
+ General Binary Classifier
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="6.3.5" data-path="../../binaryclass/news20_adagrad.html">
+
+ <a href="../../binaryclass/news20_adagrad.html">
+
+
+ <b>6.3.5.</b>
+
AdaGradRDA, AdaGrad, AdaDelta
</a>
@@ -1091,12 +1121,12 @@
</li>
- <li class="chapter " data-level="6.3.5" data-path="../../binaryclass/news20_rf.html">
+ <li class="chapter " data-level="6.3.6" data-path="../../binaryclass/news20_rf.html">
<a href="../../binaryclass/news20_rf.html">
- <b>6.3.5.</b>
+ <b>6.3.6.</b>
Random Forest
@@ -1134,7 +1164,7 @@
<b>6.4.1.</b>
- Data preparation
+ Data Preparation
</a>
@@ -1185,7 +1215,7 @@
<b>6.5.1.</b>
- Data preparation
+ Data Preparation
</a>
@@ -1236,7 +1266,7 @@
<b>6.6.1.</b>
- Data pareparation
+ Data Pareparation
</a>
@@ -1302,7 +1332,7 @@
<b>6.8.1.</b>
- Data preparation
+ Data Preparation
</a>
@@ -1360,7 +1390,7 @@
<b>7.1.1.</b>
- Data preparation
+ Data Preparation
</a>
@@ -1375,7 +1405,7 @@
<b>7.1.2.</b>
- Data preparation for one-vs-the-rest classifiers
+ Data Preparation for one-vs-the-rest classifiers
</a>
@@ -1435,7 +1465,7 @@
<b>7.1.6.</b>
- one-vs-the-rest classifier
+ one-vs-the-rest Classifier
</a>
@@ -1559,7 +1589,7 @@
<b>8.2.1.</b>
- Data preparation
+ Data Preparation
</a>
@@ -1567,13 +1597,28 @@
</li>
- <li class="chapter " data-level="8.2.2" data-path="../../regression/e2006_arow.html">
+ <li class="chapter " data-level="8.2.2" data-path="../../regression/e2006_generic.html">
- <a href="../../regression/e2006_arow.html">
+ <a href="../../regression/e2006_generic.html">
<b>8.2.2.</b>
+ General Regessor
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="8.2.3" data-path="../../regression/e2006_arow.html">
+
+ <a href="../../regression/e2006_arow.html">
+
+
+ <b>8.2.3.</b>
+
Passive Aggressive, AROW
</a>
@@ -1610,7 +1655,7 @@
<b>8.3.1.</b>
- Data preparation
+ Data Preparation
</a>
@@ -1698,7 +1743,7 @@
<b>9.1.1.</b>
- Item-based collaborative filtering
+ Item-based Collaborative Filtering
</a>
@@ -1734,7 +1779,7 @@
<b>9.2.1.</b>
- Data preparation
+ Data Preparation
</a>
@@ -1749,7 +1794,7 @@
<b>9.2.2.</b>
- LSH/MinHash and Jaccard similarity
+ LSH/MinHash and Jaccard Similarity
</a>
@@ -1764,7 +1809,7 @@
<b>9.2.3.</b>
- LSH/MinHash and brute-force search
+ LSH/MinHash and Brute-force Search
</a>
@@ -1815,7 +1860,7 @@
<b>9.3.1.</b>
- Data preparation
+ Data Preparation
</a>
@@ -1830,7 +1875,7 @@
<b>9.3.2.</b>
- Item-based collaborative filtering
+ Item-based Collaborative Filtering
</a>
@@ -1875,7 +1920,7 @@
<b>9.3.5.</b>
- SLIM for fast top-k recommendation
+ SLIM for fast top-k Recommendation
</a>
@@ -1890,7 +1935,7 @@
<b>9.3.6.</b>
- 10-fold cross validation (Matrix Factorization)
+ 10-fold Cross Validation (Matrix Factorization)
</a>
@@ -2080,7 +2125,7 @@
<b>13.2.1.</b>
- a9a tutorial for DataFrame
+ a9a Tutorial for DataFrame
</a>
@@ -2095,7 +2140,7 @@
<b>13.2.2.</b>
- a9a tutorial for SQL
+ a9a Tutorial for SQL
</a>
@@ -2131,7 +2176,7 @@
<b>13.3.1.</b>
- E2006-tfidf regression tutorial for DataFrame
+ E2006-tfidf Regression Tutorial for DataFrame
</a>
@@ -2146,7 +2191,7 @@
<b>13.3.2.</b>
- E2006-tfidf regression tutorial for SQL
+ E2006-tfidf Regression Tutorial for SQL
</a>
@@ -2166,7 +2211,7 @@
<b>13.4.</b>
- Generic features
+ Generic Features
</a>
@@ -2182,7 +2227,7 @@
<b>13.4.1.</b>
- Top-k join processing
+ Top-k Join Processing
</a>
@@ -2197,7 +2242,7 @@
<b>13.4.2.</b>
- Other utility functions
+ Other Utility Functions
</a>
@@ -2284,7 +2329,7 @@
<!-- Title -->
<h1>
<i class="fa fa-circle-o-notch fa-spin"></i>
- <a href="../.." >a9a tutorial for DataFrame</a>
+ <a href="../.." >a9a Tutorial for DataFrame</a>
</h1>
</div>
@@ -2437,7 +2482,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
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index f75088b..006cf89 100644
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@@ -972,7 +972,7 @@
<b>6.2.1.</b>
- Data preparation
+ Data Preparation
</a>
@@ -980,13 +980,28 @@
</li>
- <li class="chapter " data-level="6.2.2" data-path="../../binaryclass/a9a_lr.html">
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- <a href="../../binaryclass/a9a_lr.html">
+ <a href="../../binaryclass/a9a_generic.html">
<b>6.2.2.</b>
+ General Binary Classifier
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="6.2.3" data-path="../../binaryclass/a9a_lr.html">
+
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+
+
+ <b>6.2.3.</b>
+
Logistic Regression
</a>
@@ -995,14 +1010,14 @@
</li>
- <li class="chapter " data-level="6.2.3" data-path="../../binaryclass/a9a_minibatch.html">
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<a href="../../binaryclass/a9a_minibatch.html">
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+ <b>6.2.4.</b>
- Mini-batch gradient descent
+ Mini-batch Gradient Descent
</a>
@@ -1038,7 +1053,7 @@
<b>6.3.1.</b>
- Data preparation
+ Data Preparation
</a>
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</li>
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<b>6.3.4.</b>
+ General Binary Classifier
+
+ </a>
+
+
+
+ </li>
+
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+
+ <a href="../../binaryclass/news20_adagrad.html">
+
+
+ <b>6.3.5.</b>
+
AdaGradRDA, AdaGrad, AdaDelta
</a>
@@ -1091,12 +1121,12 @@
</li>
- <li class="chapter " data-level="6.3.5" data-path="../../binaryclass/news20_rf.html">
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<a href="../../binaryclass/news20_rf.html">
- <b>6.3.5.</b>
+ <b>6.3.6.</b>
Random Forest
@@ -1134,7 +1164,7 @@
<b>6.4.1.</b>
- Data preparation
+ Data Preparation
</a>
@@ -1185,7 +1215,7 @@
<b>6.5.1.</b>
- Data preparation
+ Data Preparation
</a>
@@ -1236,7 +1266,7 @@
<b>6.6.1.</b>
- Data pareparation
+ Data Pareparation
</a>
@@ -1302,7 +1332,7 @@
<b>6.8.1.</b>
- Data preparation
+ Data Preparation
</a>
@@ -1360,7 +1390,7 @@
<b>7.1.1.</b>
- Data preparation
+ Data Preparation
</a>
@@ -1375,7 +1405,7 @@
<b>7.1.2.</b>
- Data preparation for one-vs-the-rest classifiers
+ Data Preparation for one-vs-the-rest classifiers
</a>
@@ -1435,7 +1465,7 @@
<b>7.1.6.</b>
- one-vs-the-rest classifier
+ one-vs-the-rest Classifier
</a>
@@ -1559,7 +1589,7 @@
<b>8.2.1.</b>
- Data preparation
+ Data Preparation
</a>
@@ -1567,13 +1597,28 @@
</li>
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<b>6.2.2.</b>
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Logistic Regression
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AdaGradRDA, AdaGrad, AdaDelta
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- <a href="../../binaryclass/a9a_lr.html">
+ <a href="../../binaryclass/a9a_generic.html">
<b>6.2.2.</b>
+ General Binary Classifier
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="6.2.3" data-path="../../binaryclass/a9a_lr.html">
+
+ <a href="../../binaryclass/a9a_lr.html">
+
+
+ <b>6.2.3.</b>
+
Logistic Regression
</a>
@@ -995,14 +1010,14 @@
</li>
- <li class="chapter " data-level="6.2.3" data-path="../../binaryclass/a9a_minibatch.html">
+ <li class="chapter " data-level="6.2.4" data-path="../../binaryclass/a9a_minibatch.html">
<a href="../../binaryclass/a9a_minibatch.html">
- <b>6.2.3.</b>
+ <b>6.2.4.</b>
- Mini-batch gradient descent
+ Mini-batch Gradient Descent
</a>
@@ -1038,7 +1053,7 @@
<b>6.3.1.</b>
- Data preparation
+ Data Preparation
</a>
@@ -1076,13 +1091,28 @@
</li>
- <li class="chapter " data-level="6.3.4" data-path="../../binaryclass/news20_adagrad.html">
+ <li class="chapter " data-level="6.3.4" data-path="../../binaryclass/news20_generic.html">
- <a href="../../binaryclass/news20_adagrad.html">
+ <a href="../../binaryclass/news20_generic.html">
<b>6.3.4.</b>
+ General Binary Classifier
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="6.3.5" data-path="../../binaryclass/news20_adagrad.html">
+
+ <a href="../../binaryclass/news20_adagrad.html">
+
+
+ <b>6.3.5.</b>
+
AdaGradRDA, AdaGrad, AdaDelta
</a>
@@ -1091,12 +1121,12 @@
</li>
- <li class="chapter " data-level="6.3.5" data-path="../../binaryclass/news20_rf.html">
+ <li class="chapter " data-level="6.3.6" data-path="../../binaryclass/news20_rf.html">
<a href="../../binaryclass/news20_rf.html">
- <b>6.3.5.</b>
+ <b>6.3.6.</b>
Random Forest
@@ -1134,7 +1164,7 @@
<b>6.4.1.</b>
- Data preparation
+ Data Preparation
</a>
@@ -1185,7 +1215,7 @@
<b>6.5.1.</b>
- Data preparation
+ Data Preparation
</a>
@@ -1236,7 +1266,7 @@
<b>6.6.1.</b>
- Data pareparation
+ Data Pareparation
</a>
@@ -1302,7 +1332,7 @@
<b>6.8.1.</b>
- Data preparation
+ Data Preparation
</a>
@@ -1360,7 +1390,7 @@
<b>7.1.1.</b>
- Data preparation
+ Data Preparation
</a>
@@ -1375,7 +1405,7 @@
<b>7.1.2.</b>
- Data preparation for one-vs-the-rest classifiers
+ Data Preparation for one-vs-the-rest classifiers
</a>
@@ -1435,7 +1465,7 @@
<b>7.1.6.</b>
- one-vs-the-rest classifier
+ one-vs-the-rest Classifier
</a>
@@ -1559,7 +1589,7 @@
<b>8.2.1.</b>
- Data preparation
+ Data Preparation
</a>
@@ -1567,13 +1597,28 @@
</li>
- <li class="chapter " data-level="8.2.2" data-path="../../regression/e2006_arow.html">
+ <li class="chapter " data-level="8.2.2" data-path="../../regression/e2006_generic.html">
- <a href="../../regression/e2006_arow.html">
+ <a href="../../regression/e2006_generic.html">
<b>8.2.2.</b>
+ General Regessor
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="8.2.3" data-path="../../regression/e2006_arow.html">
+
+ <a href="../../regression/e2006_arow.html">
+
+
+ <b>8.2.3.</b>
+
Passive Aggressive, AROW
</a>
@@ -1610,7 +1655,7 @@
<b>8.3.1.</b>
- Data preparation
+ Data Preparation
</a>
@@ -1698,7 +1743,7 @@
<b>9.1.1.</b>
- Item-based collaborative filtering
+ Item-based Collaborative Filtering
</a>
@@ -1734,7 +1779,7 @@
<b>9.2.1.</b>
- Data preparation
+ Data Preparation
</a>
@@ -1749,7 +1794,7 @@
<b>9.2.2.</b>
- LSH/MinHash and Jaccard similarity
+ LSH/MinHash and Jaccard Similarity
</a>
@@ -1764,7 +1809,7 @@
<b>9.2.3.</b>
- LSH/MinHash and brute-force search
+ LSH/MinHash and Brute-force Search
</a>
@@ -1815,7 +1860,7 @@
<b>9.3.1.</b>
- Data preparation
+ Data Preparation
</a>
@@ -1830,7 +1875,7 @@
<b>9.3.2.</b>
- Item-based collaborative filtering
+ Item-based Collaborative Filtering
</a>
@@ -1875,7 +1920,7 @@
<b>9.3.5.</b>
- SLIM for fast top-k recommendation
+ SLIM for fast top-k Recommendation
</a>
@@ -1890,7 +1935,7 @@
<b>9.3.6.</b>
- 10-fold cross validation (Matrix Factorization)
+ 10-fold Cross Validation (Matrix Factorization)
</a>
@@ -2080,7 +2125,7 @@
<b>13.2.1.</b>
- a9a tutorial for DataFrame
+ a9a Tutorial for DataFrame
</a>
@@ -2095,7 +2140,7 @@
<b>13.2.2.</b>
- a9a tutorial for SQL
+ a9a Tutorial for SQL
</a>
@@ -2131,7 +2176,7 @@
<b>13.3.1.</b>
- E2006-tfidf regression tutorial for DataFrame
+ E2006-tfidf Regression Tutorial for DataFrame
</a>
@@ -2146,7 +2191,7 @@
<b>13.3.2.</b>
- E2006-tfidf regression tutorial for SQL
+ E2006-tfidf Regression Tutorial for SQL
</a>
@@ -2166,7 +2211,7 @@
<b>13.4.</b>
- Generic features
+ Generic Features
</a>
@@ -2182,7 +2227,7 @@
<b>13.4.1.</b>
- Top-k join processing
+ Top-k Join Processing
</a>
@@ -2197,7 +2242,7 @@
<b>13.4.2.</b>
- Other utility functions
+ Other Utility Functions
</a>
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