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Posted to commits@hivemall.apache.org by my...@apache.org on 2017/09/13 14:10:18 UTC

[06/23] incubator-hivemall-site git commit: Updated userguide for evaluation section

http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/a98b42f8/userguide/regression/kddcup12tr2.html
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diff --git a/userguide/regression/kddcup12tr2.html b/userguide/regression/kddcup12tr2.html
index a5604c8..b62cb9c 100644
--- a/userguide/regression/kddcup12tr2.html
+++ b/userguide/regression/kddcup12tr2.html
@@ -244,7 +244,7 @@
                     
                         <b>1.3.1.</b>
                     
-                    Explicit addBias() for better prediction
+                    Explicit add_bias() for better prediction
             
                 </a>
             
@@ -707,14 +707,14 @@
         
         
     
-        <li class="chapter " data-level="4.1" data-path="../eval/stat_eval.html">
+        <li class="chapter " data-level="4.1" data-path="../eval/binary_classification_measures.html">
             
-                <a href="../eval/stat_eval.html">
+                <a href="../eval/binary_classification_measures.html">
             
                     
                         <b>4.1.</b>
                     
-                    Statistical evaluation of a prediction model
+                    Binary Classification Metrics
             
                 </a>
             
@@ -743,13 +743,43 @@
             
         </li>
     
-        <li class="chapter " data-level="4.2" data-path="../eval/rank.html">
+        <li class="chapter " data-level="4.2" data-path="../eval/multilabel_classification_measures.html">
             
-                <a href="../eval/rank.html">
+                <a href="../eval/multilabel_classification_measures.html">
             
                     
                         <b>4.2.</b>
                     
+                    Multi-label Classification Metrics
+            
+                </a>
+            
+
+            
+        </li>
+    
+        <li class="chapter " data-level="4.3" data-path="../eval/regression.html">
+            
+                <a href="../eval/regression.html">
+            
+                    
+                        <b>4.3.</b>
+                    
+                    Regression metrics
+            
+                </a>
+            
+
+            
+        </li>
+    
+        <li class="chapter " data-level="4.4" data-path="../eval/rank.html">
+            
+                <a href="../eval/rank.html">
+            
+                    
+                        <b>4.4.</b>
+                    
                     Ranking Measures
             
                 </a>
@@ -758,12 +788,12 @@
             
         </li>
     
-        <li class="chapter " data-level="4.3" data-path="../eval/datagen.html">
+        <li class="chapter " data-level="4.5" data-path="../eval/datagen.html">
             
                 <a href="../eval/datagen.html">
             
                     
-                        <b>4.3.</b>
+                        <b>4.5.</b>
                     
                     Data Generation
             
@@ -774,12 +804,12 @@
             <ul class="articles">
                 
     
-        <li class="chapter " data-level="4.3.1" data-path="../eval/lr_datagen.html">
+        <li class="chapter " data-level="4.5.1" data-path="../eval/lr_datagen.html">
             
                 <a href="../eval/lr_datagen.html">
             
                     
-                        <b>4.3.1.</b>
+                        <b>4.5.1.</b>
                     
                     Logistic Regression data generation
             
@@ -2210,7 +2240,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
     <script>
         var gitbook = gitbook || [];
         gitbook.push(function() {
-            gitbook.page.hasChanged({"page":{"title":"KDDCup 2012 track 2 CTR prediction tutorial","level":"8.3","depth":1,"next":{"title":"Data preparation","level":"8.3.1","depth":2,"path":"regression/kddcup12tr2_dataset.md","ref":"regression/kddcup12tr2_dataset.md","articles":[]},"previous":{"title":"Passive Aggressive, AROW","level":"8.2.2","depth":2,"path":"regression/e2006_arow.md","ref":"regression/e2006_arow.md","articles":[]},"dir":"ltr"},"config":{"plugins":["theme-api","edit-link","github","splitter","sitemap","etoc","callouts","toggle-chapters","anchorjs","codeblock-filename","expandable-chapters","multipart","codeblock-filename","katex","emphasize","localized-footer"],"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"pluginsConfig":{"emphasize":{},"callouts":{},"etoc":{"h2lb":3,"header":1,"maxdepth":3,"mindepth":1,"notoc":true},"github":{"url":"https:/
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+            gitbook.page.hasChanged({"page":{"title":"KDDCup 2012 track 2 CTR prediction tutorial","level":"8.3","depth":1,"next":{"title":"Data preparation","level":"8.3.1","depth":2,"path":"regression/kddcup12tr2_dataset.md","ref":"regression/kddcup12tr2_dataset.md","articles":[]},"previous":{"title":"Passive Aggressive, AROW","level":"8.2.2","depth":2,"path":"regression/e2006_arow.md","ref":"regression/e2006_arow.md","articles":[]},"dir":"ltr"},"config":{"plugins":["theme-api","edit-link","github","splitter","sitemap","etoc","callouts","toggle-chapters","anchorjs","codeblock-filename","expandable-chapters","multipart","codeblock-filename","katex","emphasize","localized-footer"],"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"pluginsConfig":{"emphasize":{},"callouts":{},"etoc":{"h2lb":3,"header":1,"maxdepth":3,"mindepth":1,"notoc":true},"github":{"url":"https:/
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 </div>

http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/a98b42f8/userguide/regression/kddcup12tr2_adagrad.html
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diff --git a/userguide/regression/kddcup12tr2_adagrad.html b/userguide/regression/kddcup12tr2_adagrad.html
index 7fca1d5..ec706c5 100644
--- a/userguide/regression/kddcup12tr2_adagrad.html
+++ b/userguide/regression/kddcup12tr2_adagrad.html
@@ -244,7 +244,7 @@
                     
                         <b>1.3.1.</b>
                     
-                    Explicit addBias() for better prediction
+                    Explicit add_bias() for better prediction
             
                 </a>
             
@@ -707,14 +707,14 @@
         
         
     
-        <li class="chapter " data-level="4.1" data-path="../eval/stat_eval.html">
+        <li class="chapter " data-level="4.1" data-path="../eval/binary_classification_measures.html">
             
-                <a href="../eval/stat_eval.html">
+                <a href="../eval/binary_classification_measures.html">
             
                     
                         <b>4.1.</b>
                     
-                    Statistical evaluation of a prediction model
+                    Binary Classification Metrics
             
                 </a>
             
@@ -743,13 +743,43 @@
             
         </li>
     
-        <li class="chapter " data-level="4.2" data-path="../eval/rank.html">
+        <li class="chapter " data-level="4.2" data-path="../eval/multilabel_classification_measures.html">
             
-                <a href="../eval/rank.html">
+                <a href="../eval/multilabel_classification_measures.html">
             
                     
                         <b>4.2.</b>
                     
+                    Multi-label Classification Metrics
+            
+                </a>
+            
+
+            
+        </li>
+    
+        <li class="chapter " data-level="4.3" data-path="../eval/regression.html">
+            
+                <a href="../eval/regression.html">
+            
+                    
+                        <b>4.3.</b>
+                    
+                    Regression metrics
+            
+                </a>
+            
+
+            
+        </li>
+    
+        <li class="chapter " data-level="4.4" data-path="../eval/rank.html">
+            
+                <a href="../eval/rank.html">
+            
+                    
+                        <b>4.4.</b>
+                    
                     Ranking Measures
             
                 </a>
@@ -758,12 +788,12 @@
             
         </li>
     
-        <li class="chapter " data-level="4.3" data-path="../eval/datagen.html">
+        <li class="chapter " data-level="4.5" data-path="../eval/datagen.html">
             
                 <a href="../eval/datagen.html">
             
                     
-                        <b>4.3.</b>
+                        <b>4.5.</b>
                     
                     Data Generation
             
@@ -774,12 +804,12 @@
             <ul class="articles">
                 
     
-        <li class="chapter " data-level="4.3.1" data-path="../eval/lr_datagen.html">
+        <li class="chapter " data-level="4.5.1" data-path="../eval/lr_datagen.html">
             
                 <a href="../eval/lr_datagen.html">
             
                     
-                        <b>4.3.1.</b>
+                        <b>4.5.1.</b>
                     
                     Logistic Regression data generation
             
@@ -2310,7 +2340,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
     <script>
         var gitbook = gitbook || [];
         gitbook.push(function() {
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+            gitbook.page.hasChanged({"page":{"title":"AdaGrad, AdaDelta","level":"8.3.4","depth":2,"next":{"title":"Collaborative Filtering","level":"9.1","depth":1,"path":"recommend/cf.md","ref":"recommend/cf.md","articles":[{"title":"Item-based Collaborative Filtering","level":"9.1.1","depth":2,"path":"recommend/item_based_cf.md","ref":"recommend/item_based_cf.md","articles":[]}]},"previous":{"title":"Logistic Regression with Amplifier","level":"8.3.3","depth":2,"path":"regression/kddcup12tr2_lr_amplify.md","ref":"regression/kddcup12tr2_lr_amplify.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"},"p
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http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/a98b42f8/userguide/regression/kddcup12tr2_dataset.html
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diff --git a/userguide/regression/kddcup12tr2_dataset.html b/userguide/regression/kddcup12tr2_dataset.html
index 066b9f3..f79ae25 100644
--- a/userguide/regression/kddcup12tr2_dataset.html
+++ b/userguide/regression/kddcup12tr2_dataset.html
@@ -244,7 +244,7 @@
                     
                         <b>1.3.1.</b>
                     
-                    Explicit addBias() for better prediction
+                    Explicit add_bias() for better prediction
             
                 </a>
             
@@ -707,14 +707,14 @@
         
         
     
-        <li class="chapter " data-level="4.1" data-path="../eval/stat_eval.html">
+        <li class="chapter " data-level="4.1" data-path="../eval/binary_classification_measures.html">
             
-                <a href="../eval/stat_eval.html">
+                <a href="../eval/binary_classification_measures.html">
             
                     
                         <b>4.1.</b>
                     
-                    Statistical evaluation of a prediction model
+                    Binary Classification Metrics
             
                 </a>
             
@@ -743,13 +743,43 @@
             
         </li>
     
-        <li class="chapter " data-level="4.2" data-path="../eval/rank.html">
+        <li class="chapter " data-level="4.2" data-path="../eval/multilabel_classification_measures.html">
             
-                <a href="../eval/rank.html">
+                <a href="../eval/multilabel_classification_measures.html">
             
                     
                         <b>4.2.</b>
                     
+                    Multi-label Classification Metrics
+            
+                </a>
+            
+
+            
+        </li>
+    
+        <li class="chapter " data-level="4.3" data-path="../eval/regression.html">
+            
+                <a href="../eval/regression.html">
+            
+                    
+                        <b>4.3.</b>
+                    
+                    Regression metrics
+            
+                </a>
+            
+
+            
+        </li>
+    
+        <li class="chapter " data-level="4.4" data-path="../eval/rank.html">
+            
+                <a href="../eval/rank.html">
+            
+                    
+                        <b>4.4.</b>
+                    
                     Ranking Measures
             
                 </a>
@@ -758,12 +788,12 @@
             
         </li>
     
-        <li class="chapter " data-level="4.3" data-path="../eval/datagen.html">
+        <li class="chapter " data-level="4.5" data-path="../eval/datagen.html">
             
                 <a href="../eval/datagen.html">
             
                     
-                        <b>4.3.</b>
+                        <b>4.5.</b>
                     
                     Data Generation
             
@@ -774,12 +804,12 @@
             <ul class="articles">
                 
     
-        <li class="chapter " data-level="4.3.1" data-path="../eval/lr_datagen.html">
+        <li class="chapter " data-level="4.5.1" data-path="../eval/lr_datagen.html">
             
                 <a href="../eval/lr_datagen.html">
             
                     
-                        <b>4.3.1.</b>
+                        <b>4.5.1.</b>
                     
                     Logistic Regression data generation
             
@@ -2403,8 +2433,8 @@ CLUSTER <span class="hljs-keyword">BY</span> <span class="hljs-keyword">rand</sp
   testing2 
   LATERAL <span class="hljs-keyword">VIEW</span> explode(features) t <span class="hljs-keyword">AS</span> feature;
 </code></pre>
-<p><em>Caution: We recommend you to set &quot;mapred.reduce.tasks&quot; in the above example to partition the training_orcfile table into pieces.</em>
-<div id="page-footer" class="localized-footer"><hr><!--
+<p><em>Caution: We recommend you to set &quot;mapred.reduce.tasks&quot; in the above example to partition the training_orcfile table into pieces.</em></p>
+<p><div id="page-footer" class="localized-footer"><hr><!--
   Licensed to the Apache Software Foundation (ASF) under one
   or more contributor license agreements.  See the NOTICE file
   distributed with this work for additional information
@@ -2459,7 +2489,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
     <script>
         var gitbook = gitbook || [];
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                         <b>1.3.1.</b>
                     
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                         <b>4.2.</b>
                     
+                    Multi-label Classification Metrics
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+
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+                        <b>4.3.</b>
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