http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/d9012d92/userguide/clustering/plsa.html
----------------------------------------------------------------------
diff --git a/userguide/clustering/plsa.html b/userguide/clustering/plsa.html
index 1fb87f7..6604468 100644
--- a/userguide/clustering/plsa.html
+++ b/userguide/clustering/plsa.html
@@ -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>
             
@@ -2621,7 +2666,7 @@ Apache Hivemall is an effort undergoing incubation at The 
Apache Software Founda
     <script>
         var gitbook = gitbook || [];
         gitbook.push(function() {
-            gitbook.page.hasChanged({"page":{"title":"Probabilistic Latent 
Semantic Analysis","level":"11.2","depth":1,"next":{"title":"Lat/Lon 
functions","level":"12.1","depth":1,"path":"geospatial/latlon.md","ref":"geospatial/latlon.md","articles":[]},"previous":{"title":"Latent
 Dirichlet 
Allocation","level":"11.1","depth":1,"path":"clustering/lda.md","ref":"clustering/lda.md","articles":[]},"dir":"ltr"},"config":{"plugins":["theme-api","edit-link","github","splitter","sitemap","etoc","callouts","toggle-chapters","anchorjs","codeblock-filename","expandable-chapters","multipart","codeblock-filename","katex","emphasize","localized-footer"],"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"pluginsConfig":{"emphasize":{},"callouts":{},"etoc":{"h2lb":3,"header":1,"maxdepth":3,"mindepth":1,"notoc":true},"github":{"url":"https://github.com/apache/incubator-hivemall/"},";
 
splitter":{},"search":{},"downloadpdf":{"base":"https://github.com/apache/incubator-hivemall/docs/gitbook","label":"PDF","multilingual":false},"multipart":{},"localized-footer":{"filename":"FOOTER.md","hline":"true"},"lunr":{"maxIndexSize":1000000,"ignoreSpecialCharacters":false},"katex":{},"fontsettings":{"theme":"white","family":"sans","size":2,"font":"sans"},"highlight":{},"codeblock-filename":{},"sitemap":{"hostname":"https://hivemall.incubator.apache.org/"},"theme-api":{"languages":[],"split":false,"theme":"dark"},"sharing":{"facebook":true,"twitter":true,"google":false,"weibo":false,"instapaper":false,"vk":false,"all":["facebook","google","twitter","weibo","instapaper"]},"edit-link":{"label":"Edit","base":"https://github.com/apache/incubator-hivemall/tree/master/docs/gitbook"},"theme-default":{"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"},"showLevel":true}
 ,"anchorjs":{"selector":"h1,h2,h3,*:not(.callout) > 
h4,h5"},"toggle-chapters":{},"expandable-chapters":{}},"theme":"default","pdf":{"pageNumbers":true,"fontSize":12,"fontFamily":"Arial","paperSize":"a4","chapterMark":"pagebreak","pageBreaksBefore":"/","margin":{"right":62,"left":62,"top":56,"bottom":56}},"structure":{"langs":"LANGS.md","readme":"README.md","glossary":"GLOSSARY.md","summary":"SUMMARY.md"},"variables":{},"title":"Hivemall
 User Manual","links":{"sidebar":{"<i class=\"fa fa-home\"></i> 
Home":"https://hivemall.incubator.apache.org/"}},"gitbook":"3.x.x","description":"User
 Manual for Apache 
Hivemall"},"file":{"path":"clustering/plsa.md","mtime":"2018-11-02T10:33:52.946Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-11-13T09:32:29.643Z"},"basePath":"..","book":{"language":""}});
+            gitbook.page.hasChanged({"page":{"title":"Probabilistic Latent 
Semantic Analysis","level":"11.2","depth":1,"next":{"title":"Lat/Lon 
functions","level":"12.1","depth":1,"path":"geospatial/latlon.md","ref":"geospatial/latlon.md","articles":[]},"previous":{"title":"Latent
 Dirichlet 
Allocation","level":"11.1","depth":1,"path":"clustering/lda.md","ref":"clustering/lda.md","articles":[]},"dir":"ltr"},"config":{"plugins":["theme-api","edit-link","github","splitter","sitemap","etoc","callouts","toggle-chapters","anchorjs","codeblock-filename","expandable-chapters","multipart","codeblock-filename","katex","emphasize","localized-footer"],"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"pluginsConfig":{"emphasize":{},"callouts":{},"etoc":{"h2lb":3,"header":1,"maxdepth":3,"mindepth":1,"notoc":true},"github":{"url":"https://github.com/apache/incubator-hivemall/"},";
 
splitter":{},"search":{},"downloadpdf":{"base":"https://github.com/apache/incubator-hivemall/docs/gitbook","label":"PDF","multilingual":false},"multipart":{},"localized-footer":{"filename":"FOOTER.md","hline":"true"},"lunr":{"maxIndexSize":1000000,"ignoreSpecialCharacters":false},"katex":{},"fontsettings":{"theme":"white","family":"sans","size":2,"font":"sans"},"highlight":{},"codeblock-filename":{},"sitemap":{"hostname":"https://hivemall.incubator.apache.org/"},"theme-api":{"languages":[],"split":false,"theme":"dark"},"sharing":{"facebook":true,"twitter":true,"google":false,"weibo":false,"instapaper":false,"vk":false,"all":["facebook","google","twitter","weibo","instapaper"]},"edit-link":{"label":"Edit","base":"https://github.com/apache/incubator-hivemall/tree/master/docs/gitbook"},"theme-default":{"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"},"showLevel":true}
 ,"anchorjs":{"selector":"h1,h2,h3,*:not(.callout) > 
h4,h5"},"toggle-chapters":{},"expandable-chapters":{}},"theme":"default","pdf":{"pageNumbers":true,"fontSize":12,"fontFamily":"Arial","paperSize":"a4","chapterMark":"pagebreak","pageBreaksBefore":"/","margin":{"right":62,"left":62,"top":56,"bottom":56}},"structure":{"langs":"LANGS.md","readme":"README.md","glossary":"GLOSSARY.md","summary":"SUMMARY.md"},"variables":{},"title":"Hivemall
 User Manual","links":{"sidebar":{"<i class=\"fa fa-home\"></i> 
Home":"https://hivemall.incubator.apache.org/"}},"gitbook":"3.x.x","description":"User
 Manual for Apache 
Hivemall"},"file":{"path":"clustering/plsa.md","mtime":"2018-12-25T07:50:37.535Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-12-26T10:20:07.153Z"},"basePath":"..","book":{"language":""}});
         });
     </script>
 </div>
@@ -2651,7 +2696,7 @@ Apache Hivemall is an effort undergoing incubation at The 
Apache Software Founda
         
     
         
-        <script 
src="https://cdnjs.cloudflare.com/ajax/libs/anchor-js/4.1.1/anchor.min.js";></script>
+        <script 
src="../gitbook/gitbook-plugin-anchorjs/anchor.min.js"></script>
         
     
         

http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/d9012d92/userguide/docker/getting_started.html
----------------------------------------------------------------------
diff --git a/userguide/docker/getting_started.html 
b/userguide/docker/getting_started.html
index 2bca613..a127dcd 100644
--- a/userguide/docker/getting_started.html
+++ b/userguide/docker/getting_started.html
@@ -970,7 +970,7 @@
                     
                         <b>6.2.1.</b>
                     
-                    Data preparation
+                    Data Preparation
             
                 </a>
             
@@ -978,13 +978,28 @@
             
         </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>
@@ -993,14 +1008,14 @@
             
         </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>
             
@@ -1036,7 +1051,7 @@
                     
                         <b>6.3.1.</b>
                     
-                    Data preparation
+                    Data Preparation
             
                 </a>
             
@@ -1074,13 +1089,28 @@
             
         </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>
@@ -1089,12 +1119,12 @@
             
         </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
             
@@ -1132,7 +1162,7 @@
                     
                         <b>6.4.1.</b>
                     
-                    Data preparation
+                    Data Preparation
             
                 </a>
             
@@ -1183,7 +1213,7 @@
                     
                         <b>6.5.1.</b>
                     
-                    Data preparation
+                    Data Preparation
             
                 </a>
             
@@ -1234,7 +1264,7 @@
                     
                         <b>6.6.1.</b>
                     
-                    Data pareparation
+                    Data Pareparation
             
                 </a>
             
@@ -1300,7 +1330,7 @@
                     
                         <b>6.8.1.</b>
                     
-                    Data preparation
+                    Data Preparation
             
                 </a>
             
@@ -1358,7 +1388,7 @@
                     
                         <b>7.1.1.</b>
                     
-                    Data preparation
+                    Data Preparation
             
                 </a>
             
@@ -1373,7 +1403,7 @@
                     
                         <b>7.1.2.</b>
                     
-                    Data preparation for one-vs-the-rest classifiers
+                    Data Preparation for one-vs-the-rest classifiers
             
                 </a>
             
@@ -1433,7 +1463,7 @@
                     
                         <b>7.1.6.</b>
                     
-                    one-vs-the-rest classifier
+                    one-vs-the-rest Classifier
             
                 </a>
             
@@ -1557,7 +1587,7 @@
                     
                         <b>8.2.1.</b>
                     
-                    Data preparation
+                    Data Preparation
             
                 </a>
             
@@ -1565,13 +1595,28 @@
             
         </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>
@@ -1608,7 +1653,7 @@
                     
                         <b>8.3.1.</b>
                     
-                    Data preparation
+                    Data Preparation
             
                 </a>
             
@@ -1696,7 +1741,7 @@
                     
                         <b>9.1.1.</b>
                     
-                    Item-based collaborative filtering
+                    Item-based Collaborative Filtering
             
                 </a>
             
@@ -1732,7 +1777,7 @@
                     
                         <b>9.2.1.</b>
                     
-                    Data preparation
+                    Data Preparation
             
                 </a>
             
@@ -1747,7 +1792,7 @@
                     
                         <b>9.2.2.</b>
                     
-                    LSH/MinHash and Jaccard similarity
+                    LSH/MinHash and Jaccard Similarity
             
                 </a>
             
@@ -1762,7 +1807,7 @@
                     
                         <b>9.2.3.</b>
                     
-                    LSH/MinHash and brute-force search
+                    LSH/MinHash and Brute-force Search
             
                 </a>
             
@@ -1813,7 +1858,7 @@
                     
                         <b>9.3.1.</b>
                     
-                    Data preparation
+                    Data Preparation
             
                 </a>
             
@@ -1828,7 +1873,7 @@
                     
                         <b>9.3.2.</b>
                     
-                    Item-based collaborative filtering
+                    Item-based Collaborative Filtering
             
                 </a>
             
@@ -1873,7 +1918,7 @@
                     
                         <b>9.3.5.</b>
                     
-                    SLIM for fast top-k recommendation
+                    SLIM for fast top-k Recommendation
             
                 </a>
             
@@ -1888,7 +1933,7 @@
                     
                         <b>9.3.6.</b>
                     
-                    10-fold cross validation (Matrix Factorization)
+                    10-fold Cross Validation (Matrix Factorization)
             
                 </a>
             
@@ -2078,7 +2123,7 @@
                     
                         <b>13.2.1.</b>
                     
-                    a9a tutorial for DataFrame
+                    a9a Tutorial for DataFrame
             
                 </a>
             
@@ -2093,7 +2138,7 @@
                     
                         <b>13.2.2.</b>
                     
-                    a9a tutorial for SQL
+                    a9a Tutorial for SQL
             
                 </a>
             
@@ -2129,7 +2174,7 @@
                     
                         <b>13.3.1.</b>
                     
-                    E2006-tfidf regression tutorial for DataFrame
+                    E2006-tfidf Regression Tutorial for DataFrame
             
                 </a>
             
@@ -2144,7 +2189,7 @@
                     
                         <b>13.3.2.</b>
                     
-                    E2006-tfidf regression tutorial for SQL
+                    E2006-tfidf Regression Tutorial for SQL
             
                 </a>
             
@@ -2164,7 +2209,7 @@
                     
                         <b>13.4.</b>
                     
-                    Generic features
+                    Generic Features
             
                 </a>
             
@@ -2180,7 +2225,7 @@
                     
                         <b>13.4.1.</b>
                     
-                    Top-k join processing
+                    Top-k Join Processing
             
                 </a>
             
@@ -2195,7 +2240,7 @@
                     
                         <b>13.4.2.</b>
                     
-                    Other utility functions
+                    Other Utility Functions
             
                 </a>
             
@@ -2464,7 +2509,7 @@ Apache Hivemall is an effort undergoing incubation at The 
Apache Software Founda
     <script>
         var gitbook = gitbook || [];
         gitbook.push(function() {
-            gitbook.page.hasChanged({"page":{"title":"Getting 
Started","level":"14.1","depth":1,"next":{"title":"Hivemall on Apache 
Pig","level":"15.1","depth":1,"url":"https://github.com/daijyc/hivemall/wiki/PigHome","ref":"https://github.com/daijyc/hivemall/wiki/PigHome","articles":[]},"previous":{"title":"Other
 utility 
functions","level":"13.4.2","depth":2,"path":"spark/misc/functions.md","ref":"spark/misc/functions.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":"http
 
s://github.com/apache/incubator-hivemall/"},"splitter":{},"search":{},"downloadpdf":{"base":"https://github.com/apache/incubator-hivemall/docs/gitbook","label":"PDF","multilingual":false},"multipart":{},"localized-footer":{"filename":"FOOTER.md","hline":"true"},"lunr":{"maxIndexSize":1000000,"ignoreSpecialCharacters":false},"katex":{},"fontsettings":{"theme":"white","family":"sans","size":2,"font":"sans"},"highlight":{},"codeblock-filename":{},"sitemap":{"hostname":"https://hivemall.incubator.apache.org/"},"theme-api":{"languages":[],"split":false,"theme":"dark"},"sharing":{"facebook":true,"twitter":true,"google":false,"weibo":false,"instapaper":false,"vk":false,"all":["facebook","google","twitter","weibo","instapaper"]},"edit-link":{"label":"Edit","base":"https://github.com/apache/incubator-hivemall/tree/master/docs/gitbook"},"theme-default":{"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"},"showLevel":true},"anchorjs":{"selector":"h1,h2,h3,*:not(.callout)
 > 
h4,h5"},"toggle-chapters":{},"expandable-chapters":{}},"theme":"default","pdf":{"pageNumbers":true,"fontSize":12,"fontFamily":"Arial","paperSize":"a4","chapterMark":"pagebreak","pageBreaksBefore":"/","margin":{"right":62,"left":62,"top":56,"bottom":56}},"structure":{"langs":"LANGS.md","readme":"README.md","glossary":"GLOSSARY.md","summary":"SUMMARY.md"},"variables":{},"title":"Hivemall
 User Manual","links":{"sidebar":{"<i class=\"fa fa-home\"></i> 
Home":"https://hivemall.incubator.apache.org/"}},"gitbook":"3.x.x","description":"User
 Manual for Apache 
Hivemall"},"file":{"path":"docker/getting_started.md","mtime":"2018-10-18T10:26:56.686Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-11-13T09:32:29.643Z"},"basePath":"..","book":{"language":""}});
+            gitbook.page.hasChanged({"page":{"title":"Getting 
Started","level":"14.1","depth":1,"next":{"title":"Hivemall on Apache 
Pig","level":"15.1","depth":1,"url":"https://github.com/daijyc/hivemall/wiki/PigHome","ref":"https://github.com/daijyc/hivemall/wiki/PigHome","articles":[]},"previous":{"title":"Other
 Utility 
Functions","level":"13.4.2","depth":2,"path":"spark/misc/functions.md","ref":"spark/misc/functions.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":"http
 
s://github.com/apache/incubator-hivemall/"},"splitter":{},"search":{},"downloadpdf":{"base":"https://github.com/apache/incubator-hivemall/docs/gitbook","label":"PDF","multilingual":false},"multipart":{},"localized-footer":{"filename":"FOOTER.md","hline":"true"},"lunr":{"maxIndexSize":1000000,"ignoreSpecialCharacters":false},"katex":{},"fontsettings":{"theme":"white","family":"sans","size":2,"font":"sans"},"highlight":{},"codeblock-filename":{},"sitemap":{"hostname":"https://hivemall.incubator.apache.org/"},"theme-api":{"languages":[],"split":false,"theme":"dark"},"sharing":{"facebook":true,"twitter":true,"google":false,"weibo":false,"instapaper":false,"vk":false,"all":["facebook","google","twitter","weibo","instapaper"]},"edit-link":{"label":"Edit","base":"https://github.com/apache/incubator-hivemall/tree/master/docs/gitbook"},"theme-default":{"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"},"showLevel":true},"anchorjs":{"selector":"h1,h2,h3,*:not(.callout)
 > 
h4,h5"},"toggle-chapters":{},"expandable-chapters":{}},"theme":"default","pdf":{"pageNumbers":true,"fontSize":12,"fontFamily":"Arial","paperSize":"a4","chapterMark":"pagebreak","pageBreaksBefore":"/","margin":{"right":62,"left":62,"top":56,"bottom":56}},"structure":{"langs":"LANGS.md","readme":"README.md","glossary":"GLOSSARY.md","summary":"SUMMARY.md"},"variables":{},"title":"Hivemall
 User Manual","links":{"sidebar":{"<i class=\"fa fa-home\"></i> 
Home":"https://hivemall.incubator.apache.org/"}},"gitbook":"3.x.x","description":"User
 Manual for Apache 
Hivemall"},"file":{"path":"docker/getting_started.md","mtime":"2018-12-25T07:50:37.536Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-12-26T10:20:07.153Z"},"basePath":"..","book":{"language":""}});
         });
     </script>
 </div>
@@ -2494,7 +2539,7 @@ Apache Hivemall is an effort undergoing incubation at The 
Apache Software Founda
         
     
         
-        <script 
src="https://cdnjs.cloudflare.com/ajax/libs/anchor-js/4.1.1/anchor.min.js";></script>
+        <script 
src="../gitbook/gitbook-plugin-anchorjs/anchor.min.js"></script>
         
     
         

http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/d9012d92/userguide/eval/auc.html
----------------------------------------------------------------------
diff --git a/userguide/eval/auc.html b/userguide/eval/auc.html
index f0de077..eecbe7d 100644
--- a/userguide/eval/auc.html
+++ b/userguide/eval/auc.html
@@ -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>
             
@@ -2472,7 +2517,7 @@ Apache Hivemall is an effort undergoing incubation at The 
Apache Software Founda
     <script>
         var gitbook = gitbook || [];
         gitbook.push(function() {
-            gitbook.page.hasChanged({"page":{"title":"Area under the ROC 
curve","level":"4.1.1","depth":2,"next":{"title":"Multi-label Classification 
Metrics","level":"4.2","depth":1,"path":"eval/multilabel_classification_measures.md","ref":"eval/multilabel_classification_measures.md","articles":[]},"previous":{"title":"Binary
 Classification 
Metrics","level":"4.1","depth":1,"path":"eval/binary_classification_measures.md","ref":"eval/binary_classification_measures.md","articles":[{"title":"Area
 under the ROC 
curve","level":"4.1.1","depth":2,"path":"eval/auc.md","ref":"eval/auc.md","articles":[]}]},"dir":"ltr"},"config":{"plugins":["theme-api","edit-link","github","splitter","sitemap","etoc","callouts","toggle-chapters","anchorjs","codeblock-filename","expandable-chapters","multipart","codeblock-filename","katex","emphasize","localized-footer"],"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","
 
print":"styles/print.css"},"pluginsConfig":{"emphasize":{},"callouts":{},"etoc":{"h2lb":3,"header":1,"maxdepth":3,"mindepth":1,"notoc":true},"github":{"url":"https://github.com/apache/incubator-hivemall/"},"splitter":{},"search":{},"downloadpdf":{"base":"https://github.com/apache/incubator-hivemall/docs/gitbook","label":"PDF","multilingual":false},"multipart":{},"localized-footer":{"filename":"FOOTER.md","hline":"true"},"lunr":{"maxIndexSize":1000000,"ignoreSpecialCharacters":false},"katex":{},"fontsettings":{"theme":"white","family":"sans","size":2,"font":"sans"},"highlight":{},"codeblock-filename":{},"sitemap":{"hostname":"https://hivemall.incubator.apache.org/"},"theme-api":{"languages":[],"split":false,"theme":"dark"},"sharing":{"facebook":true,"twitter":true,"google":false,"weibo":false,"instapaper":false,"vk":false,"all":["facebook","google","twitter","weibo","instapaper"]},"edit-link":{"label":"Edit","base":"https://github.com/apache/incubator-hivemall/tree/master/docs/gitboo
 
k"},"theme-default":{"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"},"showLevel":true},"anchorjs":{"selector":"h1,h2,h3,*:not(.callout)
 > 
h4,h5"},"toggle-chapters":{},"expandable-chapters":{}},"theme":"default","pdf":{"pageNumbers":true,"fontSize":12,"fontFamily":"Arial","paperSize":"a4","chapterMark":"pagebreak","pageBreaksBefore":"/","margin":{"right":62,"left":62,"top":56,"bottom":56}},"structure":{"langs":"LANGS.md","readme":"README.md","glossary":"GLOSSARY.md","summary":"SUMMARY.md"},"variables":{},"title":"Hivemall
 User Manual","links":{"sidebar":{"<i class=\"fa fa-home\"></i> 
Home":"https://hivemall.incubator.apache.org/"}},"gitbook":"3.x.x","description":"User
 Manual for Apache 
Hivemall"},"file":{"path":"eval/auc.md","mtime":"2018-10-18T10:26:56.687Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-11-13T09:32:29.643Z"},"basePath":"..","book":
 {"language":""}});
+            gitbook.page.hasChanged({"page":{"title":"Area under the ROC 
curve","level":"4.1.1","depth":2,"next":{"title":"Multi-label Classification 
Metrics","level":"4.2","depth":1,"path":"eval/multilabel_classification_measures.md","ref":"eval/multilabel_classification_measures.md","articles":[]},"previous":{"title":"Binary
 Classification 
Metrics","level":"4.1","depth":1,"path":"eval/binary_classification_measures.md","ref":"eval/binary_classification_measures.md","articles":[{"title":"Area
 under the ROC 
curve","level":"4.1.1","depth":2,"path":"eval/auc.md","ref":"eval/auc.md","articles":[]}]},"dir":"ltr"},"config":{"plugins":["theme-api","edit-link","github","splitter","sitemap","etoc","callouts","toggle-chapters","anchorjs","codeblock-filename","expandable-chapters","multipart","codeblock-filename","katex","emphasize","localized-footer"],"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","
 
print":"styles/print.css"},"pluginsConfig":{"emphasize":{},"callouts":{},"etoc":{"h2lb":3,"header":1,"maxdepth":3,"mindepth":1,"notoc":true},"github":{"url":"https://github.com/apache/incubator-hivemall/"},"splitter":{},"search":{},"downloadpdf":{"base":"https://github.com/apache/incubator-hivemall/docs/gitbook","label":"PDF","multilingual":false},"multipart":{},"localized-footer":{"filename":"FOOTER.md","hline":"true"},"lunr":{"maxIndexSize":1000000,"ignoreSpecialCharacters":false},"katex":{},"fontsettings":{"theme":"white","family":"sans","size":2,"font":"sans"},"highlight":{},"codeblock-filename":{},"sitemap":{"hostname":"https://hivemall.incubator.apache.org/"},"theme-api":{"languages":[],"split":false,"theme":"dark"},"sharing":{"facebook":true,"twitter":true,"google":false,"weibo":false,"instapaper":false,"vk":false,"all":["facebook","google","twitter","weibo","instapaper"]},"edit-link":{"label":"Edit","base":"https://github.com/apache/incubator-hivemall/tree/master/docs/gitboo
 
k"},"theme-default":{"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"},"showLevel":true},"anchorjs":{"selector":"h1,h2,h3,*:not(.callout)
 > 
h4,h5"},"toggle-chapters":{},"expandable-chapters":{}},"theme":"default","pdf":{"pageNumbers":true,"fontSize":12,"fontFamily":"Arial","paperSize":"a4","chapterMark":"pagebreak","pageBreaksBefore":"/","margin":{"right":62,"left":62,"top":56,"bottom":56}},"structure":{"langs":"LANGS.md","readme":"README.md","glossary":"GLOSSARY.md","summary":"SUMMARY.md"},"variables":{},"title":"Hivemall
 User Manual","links":{"sidebar":{"<i class=\"fa fa-home\"></i> 
Home":"https://hivemall.incubator.apache.org/"}},"gitbook":"3.x.x","description":"User
 Manual for Apache 
Hivemall"},"file":{"path":"eval/auc.md","mtime":"2018-10-18T10:26:56.687Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-12-26T10:20:07.153Z"},"basePath":"..","book":
 {"language":""}});
         });
     </script>
 </div>
@@ -2502,7 +2547,7 @@ Apache Hivemall is an effort undergoing incubation at The 
Apache Software Founda
         
     
         
-        <script 
src="https://cdnjs.cloudflare.com/ajax/libs/anchor-js/4.1.1/anchor.min.js";></script>
+        <script 
src="../gitbook/gitbook-plugin-anchorjs/anchor.min.js"></script>
         
     
         

http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/d9012d92/userguide/eval/binary_classification_measures.html
----------------------------------------------------------------------
diff --git a/userguide/eval/binary_classification_measures.html 
b/userguide/eval/binary_classification_measures.html
index 7c8225a..7d59961 100644
--- a/userguide/eval/binary_classification_measures.html
+++ b/userguide/eval/binary_classification_measures.html
@@ -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>
             
@@ -2571,7 +2616,7 @@ Apache Hivemall is an effort undergoing incubation at The 
Apache Software Founda
     <script>
         var gitbook = gitbook || [];
         gitbook.push(function() {
-            gitbook.page.hasChanged({"page":{"title":"Binary Classification 
Metrics","level":"4.1","depth":1,"next":{"title":"Area under the ROC 
curve","level":"4.1.1","depth":2,"path":"eval/auc.md","ref":"eval/auc.md","articles":[]},"previous":{"title":"Okapi
 BM25 Term 
Weighting","level":"3.7.2","depth":2,"path":"ft_engineering/bm25.md","ref":"ft_engineering/bm25.md","articles":[]},"dir":"ltr"},"config":{"plugins":["theme-api","edit-link","github","splitter","sitemap","etoc","callouts","toggle-chapters","anchorjs","codeblock-filename","expandable-chapters","multipart","codeblock-filename","katex","emphasize","localized-footer"],"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"pluginsConfig":{"emphasize":{},"callouts":{},"etoc":{"h2lb":3,"header":1,"maxdepth":3,"mindepth":1,"notoc":true},"github":{"url":"https://github.com/apache/incubator-hivemall/"},"splitter":{
 
},"search":{},"downloadpdf":{"base":"https://github.com/apache/incubator-hivemall/docs/gitbook","label":"PDF","multilingual":false},"multipart":{},"localized-footer":{"filename":"FOOTER.md","hline":"true"},"lunr":{"maxIndexSize":1000000,"ignoreSpecialCharacters":false},"katex":{},"fontsettings":{"theme":"white","family":"sans","size":2,"font":"sans"},"highlight":{},"codeblock-filename":{},"sitemap":{"hostname":"https://hivemall.incubator.apache.org/"},"theme-api":{"languages":[],"split":false,"theme":"dark"},"sharing":{"facebook":true,"twitter":true,"google":false,"weibo":false,"instapaper":false,"vk":false,"all":["facebook","google","twitter","weibo","instapaper"]},"edit-link":{"label":"Edit","base":"https://github.com/apache/incubator-hivemall/tree/master/docs/gitbook"},"theme-default":{"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"},"showLevel":true},"anchorjs";
 :{"selector":"h1,h2,h3,*:not(.callout) > 
h4,h5"},"toggle-chapters":{},"expandable-chapters":{}},"theme":"default","pdf":{"pageNumbers":true,"fontSize":12,"fontFamily":"Arial","paperSize":"a4","chapterMark":"pagebreak","pageBreaksBefore":"/","margin":{"right":62,"left":62,"top":56,"bottom":56}},"structure":{"langs":"LANGS.md","readme":"README.md","glossary":"GLOSSARY.md","summary":"SUMMARY.md"},"variables":{},"title":"Hivemall
 User Manual","links":{"sidebar":{"<i class=\"fa fa-home\"></i> 
Home":"https://hivemall.incubator.apache.org/"}},"gitbook":"3.x.x","description":"User
 Manual for Apache 
Hivemall"},"file":{"path":"eval/binary_classification_measures.md","mtime":"2018-11-02T10:33:52.947Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-11-13T09:32:29.643Z"},"basePath":"..","book":{"language":""}});
+            gitbook.page.hasChanged({"page":{"title":"Binary Classification 
Metrics","level":"4.1","depth":1,"next":{"title":"Area under the ROC 
curve","level":"4.1.1","depth":2,"path":"eval/auc.md","ref":"eval/auc.md","articles":[]},"previous":{"title":"Okapi
 BM25 Term 
Weighting","level":"3.7.2","depth":2,"path":"ft_engineering/bm25.md","ref":"ft_engineering/bm25.md","articles":[]},"dir":"ltr"},"config":{"plugins":["theme-api","edit-link","github","splitter","sitemap","etoc","callouts","toggle-chapters","anchorjs","codeblock-filename","expandable-chapters","multipart","codeblock-filename","katex","emphasize","localized-footer"],"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"pluginsConfig":{"emphasize":{},"callouts":{},"etoc":{"h2lb":3,"header":1,"maxdepth":3,"mindepth":1,"notoc":true},"github":{"url":"https://github.com/apache/incubator-hivemall/"},"splitter":{
 
},"search":{},"downloadpdf":{"base":"https://github.com/apache/incubator-hivemall/docs/gitbook","label":"PDF","multilingual":false},"multipart":{},"localized-footer":{"filename":"FOOTER.md","hline":"true"},"lunr":{"maxIndexSize":1000000,"ignoreSpecialCharacters":false},"katex":{},"fontsettings":{"theme":"white","family":"sans","size":2,"font":"sans"},"highlight":{},"codeblock-filename":{},"sitemap":{"hostname":"https://hivemall.incubator.apache.org/"},"theme-api":{"languages":[],"split":false,"theme":"dark"},"sharing":{"facebook":true,"twitter":true,"google":false,"weibo":false,"instapaper":false,"vk":false,"all":["facebook","google","twitter","weibo","instapaper"]},"edit-link":{"label":"Edit","base":"https://github.com/apache/incubator-hivemall/tree/master/docs/gitbook"},"theme-default":{"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"},"showLevel":true},"anchorjs";
 :{"selector":"h1,h2,h3,*:not(.callout) > 
h4,h5"},"toggle-chapters":{},"expandable-chapters":{}},"theme":"default","pdf":{"pageNumbers":true,"fontSize":12,"fontFamily":"Arial","paperSize":"a4","chapterMark":"pagebreak","pageBreaksBefore":"/","margin":{"right":62,"left":62,"top":56,"bottom":56}},"structure":{"langs":"LANGS.md","readme":"README.md","glossary":"GLOSSARY.md","summary":"SUMMARY.md"},"variables":{},"title":"Hivemall
 User Manual","links":{"sidebar":{"<i class=\"fa fa-home\"></i> 
Home":"https://hivemall.incubator.apache.org/"}},"gitbook":"3.x.x","description":"User
 Manual for Apache 
Hivemall"},"file":{"path":"eval/binary_classification_measures.md","mtime":"2018-12-25T07:50:37.536Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-12-26T10:20:07.153Z"},"basePath":"..","book":{"language":""}});
         });
     </script>
 </div>
@@ -2601,7 +2646,7 @@ Apache Hivemall is an effort undergoing incubation at The 
Apache Software Founda
         
     
         
-        <script 
src="https://cdnjs.cloudflare.com/ajax/libs/anchor-js/4.1.1/anchor.min.js";></script>
+        <script 
src="../gitbook/gitbook-plugin-anchorjs/anchor.min.js"></script>
         
     
         

http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/d9012d92/userguide/eval/datagen.html
----------------------------------------------------------------------
diff --git a/userguide/eval/datagen.html b/userguide/eval/datagen.html
index 9aea0ad..9540269 100644
--- a/userguide/eval/datagen.html
+++ b/userguide/eval/datagen.html
@@ -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>
             
@@ -2372,7 +2417,7 @@ Apache Hivemall is an effort undergoing incubation at The 
Apache Software Founda
     <script>
         var gitbook = gitbook || [];
         gitbook.push(function() {
-            gitbook.page.hasChanged({"page":{"title":"Data 
Generation","level":"4.5","depth":1,"next":{"title":"Logistic Regression data 
generation","level":"4.5.1","depth":2,"path":"eval/lr_datagen.md","ref":"eval/lr_datagen.md","articles":[]},"previous":{"title":"Ranking
 
Measures","level":"4.4","depth":1,"path":"eval/rank.md","ref":"eval/rank.md","articles":[]},"dir":"ltr"},"config":{"plugins":["theme-api","edit-link","github","splitter","sitemap","etoc","callouts","toggle-chapters","anchorjs","codeblock-filename","expandable-chapters","multipart","codeblock-filename","katex","emphasize","localized-footer"],"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"pluginsConfig":{"emphasize":{},"callouts":{},"etoc":{"h2lb":3,"header":1,"maxdepth":3,"mindepth":1,"notoc":true},"github":{"url":"https://github.com/apache/incubator-hivemall/"},"splitter":{},"search":{},"downl
 
oadpdf":{"base":"https://github.com/apache/incubator-hivemall/docs/gitbook","label":"PDF","multilingual":false},"multipart":{},"localized-footer":{"filename":"FOOTER.md","hline":"true"},"lunr":{"maxIndexSize":1000000,"ignoreSpecialCharacters":false},"katex":{},"fontsettings":{"theme":"white","family":"sans","size":2,"font":"sans"},"highlight":{},"codeblock-filename":{},"sitemap":{"hostname":"https://hivemall.incubator.apache.org/"},"theme-api":{"languages":[],"split":false,"theme":"dark"},"sharing":{"facebook":true,"twitter":true,"google":false,"weibo":false,"instapaper":false,"vk":false,"all":["facebook","google","twitter","weibo","instapaper"]},"edit-link":{"label":"Edit","base":"https://github.com/apache/incubator-hivemall/tree/master/docs/gitbook"},"theme-default":{"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"},"showLevel":true},"anchorjs":{"selector":"h1,h2,
 h3,*:not(.callout) > 
h4,h5"},"toggle-chapters":{},"expandable-chapters":{}},"theme":"default","pdf":{"pageNumbers":true,"fontSize":12,"fontFamily":"Arial","paperSize":"a4","chapterMark":"pagebreak","pageBreaksBefore":"/","margin":{"right":62,"left":62,"top":56,"bottom":56}},"structure":{"langs":"LANGS.md","readme":"README.md","glossary":"GLOSSARY.md","summary":"SUMMARY.md"},"variables":{},"title":"Hivemall
 User Manual","links":{"sidebar":{"<i class=\"fa fa-home\"></i> 
Home":"https://hivemall.incubator.apache.org/"}},"gitbook":"3.x.x","description":"User
 Manual for Apache 
Hivemall"},"file":{"path":"eval/datagen.md","mtime":"2018-10-18T10:26:56.688Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-11-13T09:32:29.643Z"},"basePath":"..","book":{"language":""}});
+            gitbook.page.hasChanged({"page":{"title":"Data 
Generation","level":"4.5","depth":1,"next":{"title":"Logistic Regression data 
generation","level":"4.5.1","depth":2,"path":"eval/lr_datagen.md","ref":"eval/lr_datagen.md","articles":[]},"previous":{"title":"Ranking
 
Measures","level":"4.4","depth":1,"path":"eval/rank.md","ref":"eval/rank.md","articles":[]},"dir":"ltr"},"config":{"plugins":["theme-api","edit-link","github","splitter","sitemap","etoc","callouts","toggle-chapters","anchorjs","codeblock-filename","expandable-chapters","multipart","codeblock-filename","katex","emphasize","localized-footer"],"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"pluginsConfig":{"emphasize":{},"callouts":{},"etoc":{"h2lb":3,"header":1,"maxdepth":3,"mindepth":1,"notoc":true},"github":{"url":"https://github.com/apache/incubator-hivemall/"},"splitter":{},"search":{},"downl
 
oadpdf":{"base":"https://github.com/apache/incubator-hivemall/docs/gitbook","label":"PDF","multilingual":false},"multipart":{},"localized-footer":{"filename":"FOOTER.md","hline":"true"},"lunr":{"maxIndexSize":1000000,"ignoreSpecialCharacters":false},"katex":{},"fontsettings":{"theme":"white","family":"sans","size":2,"font":"sans"},"highlight":{},"codeblock-filename":{},"sitemap":{"hostname":"https://hivemall.incubator.apache.org/"},"theme-api":{"languages":[],"split":false,"theme":"dark"},"sharing":{"facebook":true,"twitter":true,"google":false,"weibo":false,"instapaper":false,"vk":false,"all":["facebook","google","twitter","weibo","instapaper"]},"edit-link":{"label":"Edit","base":"https://github.com/apache/incubator-hivemall/tree/master/docs/gitbook"},"theme-default":{"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"},"showLevel":true},"anchorjs":{"selector":"h1,h2,
 h3,*:not(.callout) > 
h4,h5"},"toggle-chapters":{},"expandable-chapters":{}},"theme":"default","pdf":{"pageNumbers":true,"fontSize":12,"fontFamily":"Arial","paperSize":"a4","chapterMark":"pagebreak","pageBreaksBefore":"/","margin":{"right":62,"left":62,"top":56,"bottom":56}},"structure":{"langs":"LANGS.md","readme":"README.md","glossary":"GLOSSARY.md","summary":"SUMMARY.md"},"variables":{},"title":"Hivemall
 User Manual","links":{"sidebar":{"<i class=\"fa fa-home\"></i> 
Home":"https://hivemall.incubator.apache.org/"}},"gitbook":"3.x.x","description":"User
 Manual for Apache 
Hivemall"},"file":{"path":"eval/datagen.md","mtime":"2018-10-18T10:26:56.688Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-12-26T10:20:07.153Z"},"basePath":"..","book":{"language":""}});
         });
     </script>
 </div>
@@ -2402,7 +2447,7 @@ Apache Hivemall is an effort undergoing incubation at The 
Apache Software Founda
         
     
         
-        <script 
src="https://cdnjs.cloudflare.com/ajax/libs/anchor-js/4.1.1/anchor.min.js";></script>
+        <script 
src="../gitbook/gitbook-plugin-anchorjs/anchor.min.js"></script>
         
     
         

Reply via email to