http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/6c6a1b42/userguide/regression/e2006.html
----------------------------------------------------------------------
diff --git a/userguide/regression/e2006.html b/userguide/regression/e2006.html
index ef98e5e..a4cc962 100644
--- a/userguide/regression/e2006.html
+++ b/userguide/regression/e2006.html
@@ -861,9 +861,9 @@
         
         
     
-        <li class="chapter " data-level="5.1" 
data-path="../misc/prediction.html">
+        <li class="chapter " data-level="5.1" 
data-path="../supervised_learning/prediction.html">
             
-                <a href="../misc/prediction.html">
+                <a href="../supervised_learning/prediction.html">
             
                     
                         <b>5.1.</b>
@@ -876,6 +876,21 @@
             
         </li>
     
+        <li class="chapter " data-level="5.2" 
data-path="../supervised_learning/tutorial.html">
+            
+                <a href="../supervised_learning/tutorial.html">
+            
+                    
+                        <b>5.2.</b>
+                    
+                    Step-by-Step Tutorial on Supervised Learning
+            
+                </a>
+            
+
+            
+        </li>
+    
 
     
         
@@ -1228,6 +1243,57 @@
             
         </li>
     
+        <li class="chapter " data-level="6.8" 
data-path="../binaryclass/criteo.html">
+            
+                <a href="../binaryclass/criteo.html">
+            
+                    
+                        <b>6.8.</b>
+                    
+                    Criteo Tutorial
+            
+                </a>
+            
+
+            
+            <ul class="articles">
+                
+    
+        <li class="chapter " data-level="6.8.1" 
data-path="../binaryclass/criteo_dataset.html">
+            
+                <a href="../binaryclass/criteo_dataset.html">
+            
+                    
+                        <b>6.8.1.</b>
+                    
+                    Data preparation
+            
+                </a>
+            
+
+            
+        </li>
+    
+        <li class="chapter " data-level="6.8.2" 
data-path="../binaryclass/criteo_ffm.html">
+            
+                <a href="../binaryclass/criteo_ffm.html">
+            
+                    
+                        <b>6.8.2.</b>
+                    
+                    Field-Aware Factorization Machines
+            
+                </a>
+            
+
+            
+        </li>
+    
+
+            </ul>
+            
+        </li>
+    
 
     
         
@@ -2270,7 +2336,7 @@ Apache Hivemall is an effort undergoing incubation at The 
Apache Software Founda
     <script>
         var gitbook = gitbook || [];
         gitbook.push(function() {
-            gitbook.page.hasChanged({"page":{"title":"E2006-tfidf Regression 
Tutorial","level":"8.2","depth":1,"next":{"title":"Data 
preparation","level":"8.2.1","depth":2,"path":"regression/e2006_dataset.md","ref":"regression/e2006_dataset.md","articles":[]},"previous":{"title":"Regression","level":"8.1","depth":1,"path":"regression/general.md","ref":"regression/general.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/"},"spli
 
tter":{},"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":"http://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},"anc
 horjs":{"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":"http://hivemall.incubator.apache.org/"}},"gitbook":"3.x.x","description":"User
 Manual for Apache 
Hivemall"},"file":{"path":"regression/e2006.md","mtime":"2017-12-11T08:48:01.140Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-06-06T09:01:20.330Z"},"basePath":"..","book":{"language":""}});
+            gitbook.page.hasChanged({"page":{"title":"E2006-tfidf Regression 
Tutorial","level":"8.2","depth":1,"next":{"title":"Data 
preparation","level":"8.2.1","depth":2,"path":"regression/e2006_dataset.md","ref":"regression/e2006_dataset.md","articles":[]},"previous":{"title":"Regression","level":"8.1","depth":1,"path":"regression/general.md","ref":"regression/general.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/"},"spli
 
tter":{},"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":"http://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},"anc
 horjs":{"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":"http://hivemall.incubator.apache.org/"}},"gitbook":"3.x.x","description":"User
 Manual for Apache 
Hivemall"},"file":{"path":"regression/e2006.md","mtime":"2018-08-29T08:55:00.284Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-08-31T06:54:21.013Z"},"basePath":"..","book":{"language":""}});
         });
     </script>
 </div>
@@ -2300,7 +2366,7 @@ Apache Hivemall is an effort undergoing incubation at The 
Apache Software Founda
         
     
         
-        <script 
src="https://cdnjs.cloudflare.com/ajax/libs/anchor-js/4.1.0/anchor.min.js";></script>
+        <script 
src="https://cdnjs.cloudflare.com/ajax/libs/anchor-js/4.1.1/anchor.min.js";></script>
         
     
         

http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/6c6a1b42/userguide/regression/e2006_arow.html
----------------------------------------------------------------------
diff --git a/userguide/regression/e2006_arow.html 
b/userguide/regression/e2006_arow.html
index 7de97ac..5f1f3cc 100644
--- a/userguide/regression/e2006_arow.html
+++ b/userguide/regression/e2006_arow.html
@@ -861,9 +861,9 @@
         
         
     
-        <li class="chapter " data-level="5.1" 
data-path="../misc/prediction.html">
+        <li class="chapter " data-level="5.1" 
data-path="../supervised_learning/prediction.html">
             
-                <a href="../misc/prediction.html">
+                <a href="../supervised_learning/prediction.html">
             
                     
                         <b>5.1.</b>
@@ -876,6 +876,21 @@
             
         </li>
     
+        <li class="chapter " data-level="5.2" 
data-path="../supervised_learning/tutorial.html">
+            
+                <a href="../supervised_learning/tutorial.html">
+            
+                    
+                        <b>5.2.</b>
+                    
+                    Step-by-Step Tutorial on Supervised Learning
+            
+                </a>
+            
+
+            
+        </li>
+    
 
     
         
@@ -1228,6 +1243,57 @@
             
         </li>
     
+        <li class="chapter " data-level="6.8" 
data-path="../binaryclass/criteo.html">
+            
+                <a href="../binaryclass/criteo.html">
+            
+                    
+                        <b>6.8.</b>
+                    
+                    Criteo Tutorial
+            
+                </a>
+            
+
+            
+            <ul class="articles">
+                
+    
+        <li class="chapter " data-level="6.8.1" 
data-path="../binaryclass/criteo_dataset.html">
+            
+                <a href="../binaryclass/criteo_dataset.html">
+            
+                    
+                        <b>6.8.1.</b>
+                    
+                    Data preparation
+            
+                </a>
+            
+
+            
+        </li>
+    
+        <li class="chapter " data-level="6.8.2" 
data-path="../binaryclass/criteo_ffm.html">
+            
+                <a href="../binaryclass/criteo_ffm.html">
+            
+                    
+                        <b>6.8.2.</b>
+                    
+                    Field-Aware Factorization Machines
+            
+                </a>
+            
+
+            
+        </li>
+    
+
+            </ul>
+            
+        </li>
+    
 
     
         
@@ -2509,7 +2575,7 @@ Apache Hivemall is an effort undergoing incubation at The 
Apache Software Founda
     <script>
         var gitbook = gitbook || [];
         gitbook.push(function() {
-            gitbook.page.hasChanged({"page":{"title":"Passive Aggressive, 
AROW","level":"8.2.2","depth":2,"next":{"title":"KDDCup 2012 Track 2 CTR 
Prediction 
Tutorial","level":"8.3","depth":1,"path":"regression/kddcup12tr2.md","ref":"regression/kddcup12tr2.md","articles":[{"title":"Data
 
preparation","level":"8.3.1","depth":2,"path":"regression/kddcup12tr2_dataset.md","ref":"regression/kddcup12tr2_dataset.md","articles":[]},{"title":"Logistic
 Regression, Passive 
Aggressive","level":"8.3.2","depth":2,"path":"regression/kddcup12tr2_lr.md","ref":"regression/kddcup12tr2_lr.md","articles":[]},{"title":"Logistic
 Regression with 
amplifier","level":"8.3.3","depth":2,"path":"regression/kddcup12tr2_lr_amplify.md","ref":"regression/kddcup12tr2_lr_amplify.md","articles":[]},{"title":"AdaGrad,
 
AdaDelta","level":"8.3.4","depth":2,"path":"regression/kddcup12tr2_adagrad.md","ref":"regression/kddcup12tr2_adagrad.md","articles":[]}]},"previous":{"title":"Data
 preparation","level":"8.2.1","depth":2,"pa
 
th":"regression/e2006_dataset.md","ref":"regression/e2006_dataset.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":{"the
 
me":"white","family":"sans","size":2,"font":"sans"},"highlight":{},"codeblock-filename":{},"sitemap":{"hostname":"http://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}},"struct
 
ure":{"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":"http://hivemall.incubator.apache.org/"}},"gitbook":"3.x.x","description":"User
 Manual for Apache 
Hivemall"},"file":{"path":"regression/e2006_arow.md","mtime":"2017-12-11T08:48:01.141Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-06-06T09:01:20.330Z"},"basePath":"..","book":{"language":""}});
+            gitbook.page.hasChanged({"page":{"title":"Passive Aggressive, 
AROW","level":"8.2.2","depth":2,"next":{"title":"KDDCup 2012 Track 2 CTR 
Prediction 
Tutorial","level":"8.3","depth":1,"path":"regression/kddcup12tr2.md","ref":"regression/kddcup12tr2.md","articles":[{"title":"Data
 
preparation","level":"8.3.1","depth":2,"path":"regression/kddcup12tr2_dataset.md","ref":"regression/kddcup12tr2_dataset.md","articles":[]},{"title":"Logistic
 Regression, Passive 
Aggressive","level":"8.3.2","depth":2,"path":"regression/kddcup12tr2_lr.md","ref":"regression/kddcup12tr2_lr.md","articles":[]},{"title":"Logistic
 Regression with 
amplifier","level":"8.3.3","depth":2,"path":"regression/kddcup12tr2_lr_amplify.md","ref":"regression/kddcup12tr2_lr_amplify.md","articles":[]},{"title":"AdaGrad,
 
AdaDelta","level":"8.3.4","depth":2,"path":"regression/kddcup12tr2_adagrad.md","ref":"regression/kddcup12tr2_adagrad.md","articles":[]}]},"previous":{"title":"Data
 preparation","level":"8.2.1","depth":2,"pa
 
th":"regression/e2006_dataset.md","ref":"regression/e2006_dataset.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":{"the
 
me":"white","family":"sans","size":2,"font":"sans"},"highlight":{},"codeblock-filename":{},"sitemap":{"hostname":"http://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}},"struct
 
ure":{"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":"http://hivemall.incubator.apache.org/"}},"gitbook":"3.x.x","description":"User
 Manual for Apache 
Hivemall"},"file":{"path":"regression/e2006_arow.md","mtime":"2018-08-29T08:55:00.284Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-08-31T06:54:21.013Z"},"basePath":"..","book":{"language":""}});
         });
     </script>
 </div>
@@ -2539,7 +2605,7 @@ Apache Hivemall is an effort undergoing incubation at The 
Apache Software Founda
         
     
         
-        <script 
src="https://cdnjs.cloudflare.com/ajax/libs/anchor-js/4.1.0/anchor.min.js";></script>
+        <script 
src="https://cdnjs.cloudflare.com/ajax/libs/anchor-js/4.1.1/anchor.min.js";></script>
         
     
         

http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/6c6a1b42/userguide/regression/e2006_dataset.html
----------------------------------------------------------------------
diff --git a/userguide/regression/e2006_dataset.html 
b/userguide/regression/e2006_dataset.html
index ab8a54a..96bc94e 100644
--- a/userguide/regression/e2006_dataset.html
+++ b/userguide/regression/e2006_dataset.html
@@ -861,9 +861,9 @@
         
         
     
-        <li class="chapter " data-level="5.1" 
data-path="../misc/prediction.html">
+        <li class="chapter " data-level="5.1" 
data-path="../supervised_learning/prediction.html">
             
-                <a href="../misc/prediction.html">
+                <a href="../supervised_learning/prediction.html">
             
                     
                         <b>5.1.</b>
@@ -876,6 +876,21 @@
             
         </li>
     
+        <li class="chapter " data-level="5.2" 
data-path="../supervised_learning/tutorial.html">
+            
+                <a href="../supervised_learning/tutorial.html">
+            
+                    
+                        <b>5.2.</b>
+                    
+                    Step-by-Step Tutorial on Supervised Learning
+            
+                </a>
+            
+
+            
+        </li>
+    
 
     
         
@@ -1228,6 +1243,57 @@
             
         </li>
     
+        <li class="chapter " data-level="6.8" 
data-path="../binaryclass/criteo.html">
+            
+                <a href="../binaryclass/criteo.html">
+            
+                    
+                        <b>6.8.</b>
+                    
+                    Criteo Tutorial
+            
+                </a>
+            
+
+            
+            <ul class="articles">
+                
+    
+        <li class="chapter " data-level="6.8.1" 
data-path="../binaryclass/criteo_dataset.html">
+            
+                <a href="../binaryclass/criteo_dataset.html">
+            
+                    
+                        <b>6.8.1.</b>
+                    
+                    Data preparation
+            
+                </a>
+            
+
+            
+        </li>
+    
+        <li class="chapter " data-level="6.8.2" 
data-path="../binaryclass/criteo_ffm.html">
+            
+                <a href="../binaryclass/criteo_ffm.html">
+            
+                    
+                        <b>6.8.2.</b>
+                    
+                    Field-Aware Factorization Machines
+            
+                </a>
+            
+
+            
+        </li>
+    
+
+            </ul>
+            
+        </li>
+    
 
     
         
@@ -2330,7 +2396,7 @@ 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 
preparation","level":"8.2.1","depth":2,"next":{"title":"Passive Aggressive, 
AROW","level":"8.2.2","depth":2,"path":"regression/e2006_arow.md","ref":"regression/e2006_arow.md","articles":[]},"previous":{"title":"E2006-tfidf
 Regression 
Tutorial","level":"8.2","depth":1,"path":"regression/e2006.md","ref":"regression/e2006.md","articles":[{"title":"Data
 
preparation","level":"8.2.1","depth":2,"path":"regression/e2006_dataset.md","ref":"regression/e2006_dataset.md","articles":[]},{"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://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":"http://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":"Edi
 
t","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":"http://hivemall.incubator.apache.org/"}},"gitbook":"3.x.x","description":"User
 Manual for Apache 
Hivemall"},"file":{"path":"regression/e2006_dataset.md","mtime":"2017-12-11T08:48:01.141Z","type":"mark
 
down"},"gitbook":{"version":"3.2.3","time":"2018-06-06T09:01:20.330Z"},"basePath":"..","book":{"language":""}});
+            gitbook.page.hasChanged({"page":{"title":"Data 
preparation","level":"8.2.1","depth":2,"next":{"title":"Passive Aggressive, 
AROW","level":"8.2.2","depth":2,"path":"regression/e2006_arow.md","ref":"regression/e2006_arow.md","articles":[]},"previous":{"title":"E2006-tfidf
 Regression 
Tutorial","level":"8.2","depth":1,"path":"regression/e2006.md","ref":"regression/e2006.md","articles":[{"title":"Data
 
preparation","level":"8.2.1","depth":2,"path":"regression/e2006_dataset.md","ref":"regression/e2006_dataset.md","articles":[]},{"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://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":"http://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":"Edi
 
t","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":"http://hivemall.incubator.apache.org/"}},"gitbook":"3.x.x","description":"User
 Manual for Apache 
Hivemall"},"file":{"path":"regression/e2006_dataset.md","mtime":"2018-08-29T08:55:00.284Z","type":"mark
 
down"},"gitbook":{"version":"3.2.3","time":"2018-08-31T06:54:21.013Z"},"basePath":"..","book":{"language":""}});
         });
     </script>
 </div>
@@ -2360,7 +2426,7 @@ Apache Hivemall is an effort undergoing incubation at The 
Apache Software Founda
         
     
         
-        <script 
src="https://cdnjs.cloudflare.com/ajax/libs/anchor-js/4.1.0/anchor.min.js";></script>
+        <script 
src="https://cdnjs.cloudflare.com/ajax/libs/anchor-js/4.1.1/anchor.min.js";></script>
         
     
         

http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/6c6a1b42/userguide/regression/general.html
----------------------------------------------------------------------
diff --git a/userguide/regression/general.html 
b/userguide/regression/general.html
index 12a96e9..5bfaf46 100644
--- a/userguide/regression/general.html
+++ b/userguide/regression/general.html
@@ -861,9 +861,9 @@
         
         
     
-        <li class="chapter " data-level="5.1" 
data-path="../misc/prediction.html">
+        <li class="chapter " data-level="5.1" 
data-path="../supervised_learning/prediction.html">
             
-                <a href="../misc/prediction.html">
+                <a href="../supervised_learning/prediction.html">
             
                     
                         <b>5.1.</b>
@@ -876,6 +876,21 @@
             
         </li>
     
+        <li class="chapter " data-level="5.2" 
data-path="../supervised_learning/tutorial.html">
+            
+                <a href="../supervised_learning/tutorial.html">
+            
+                    
+                        <b>5.2.</b>
+                    
+                    Step-by-Step Tutorial on Supervised Learning
+            
+                </a>
+            
+
+            
+        </li>
+    
 
     
         
@@ -1228,6 +1243,57 @@
             
         </li>
     
+        <li class="chapter " data-level="6.8" 
data-path="../binaryclass/criteo.html">
+            
+                <a href="../binaryclass/criteo.html">
+            
+                    
+                        <b>6.8.</b>
+                    
+                    Criteo Tutorial
+            
+                </a>
+            
+
+            
+            <ul class="articles">
+                
+    
+        <li class="chapter " data-level="6.8.1" 
data-path="../binaryclass/criteo_dataset.html">
+            
+                <a href="../binaryclass/criteo_dataset.html">
+            
+                    
+                        <b>6.8.1.</b>
+                    
+                    Data preparation
+            
+                </a>
+            
+
+            
+        </li>
+    
+        <li class="chapter " data-level="6.8.2" 
data-path="../binaryclass/criteo_ffm.html">
+            
+                <a href="../binaryclass/criteo_ffm.html">
+            
+                    
+                        <b>6.8.2.</b>
+                    
+                    Field-Aware Factorization Machines
+            
+                </a>
+            
+
+            
+        </li>
+    
+
+            </ul>
+            
+        </li>
+    
 
     
         
@@ -2322,7 +2388,7 @@ Apache Hivemall is an effort undergoing incubation at The 
Apache Software Founda
     <script>
         var gitbook = gitbook || [];
         gitbook.push(function() {
-            
gitbook.page.hasChanged({"page":{"title":"Regression","level":"8.1","depth":1,"next":{"title":"E2006-tfidf
 Regression 
Tutorial","level":"8.2","depth":1,"path":"regression/e2006.md","ref":"regression/e2006.md","articles":[{"title":"Data
 
preparation","level":"8.2.1","depth":2,"path":"regression/e2006_dataset.md","ref":"regression/e2006_dataset.md","articles":[]},{"title":"Passive
 Aggressive, 
AROW","level":"8.2.2","depth":2,"path":"regression/e2006_arow.md","ref":"regression/e2006_arow.md","articles":[]}]},"previous":{"title":"Random
 
Forest","level":"7.2.3","depth":2,"path":"multiclass/iris_randomforest.md","ref":"multiclass/iris_randomforest.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","ep
 
ub":"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":"http://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","b
 
ase":"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":"http://hivemall.incubator.apache.org/"}},"gitbook":"3.x.x","description":"User
 Manual for Apache 
Hivemall"},"file":{"path":"regression/general.md","mtime":"2017-12-11T08:48:01.141Z","type":"markdown"},"git
 
book":{"version":"3.2.3","time":"2018-06-06T09:01:20.330Z"},"basePath":"..","book":{"language":""}});
+            
gitbook.page.hasChanged({"page":{"title":"Regression","level":"8.1","depth":1,"next":{"title":"E2006-tfidf
 Regression 
Tutorial","level":"8.2","depth":1,"path":"regression/e2006.md","ref":"regression/e2006.md","articles":[{"title":"Data
 
preparation","level":"8.2.1","depth":2,"path":"regression/e2006_dataset.md","ref":"regression/e2006_dataset.md","articles":[]},{"title":"Passive
 Aggressive, 
AROW","level":"8.2.2","depth":2,"path":"regression/e2006_arow.md","ref":"regression/e2006_arow.md","articles":[]}]},"previous":{"title":"Random
 
Forest","level":"7.2.3","depth":2,"path":"multiclass/iris_randomforest.md","ref":"multiclass/iris_randomforest.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","ep
 
ub":"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":"http://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","b
 
ase":"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":"http://hivemall.incubator.apache.org/"}},"gitbook":"3.x.x","description":"User
 Manual for Apache 
Hivemall"},"file":{"path":"regression/general.md","mtime":"2018-08-29T08:55:00.284Z","type":"markdown"},"git
 
book":{"version":"3.2.3","time":"2018-08-31T06:54:21.013Z"},"basePath":"..","book":{"language":""}});
         });
     </script>
 </div>
@@ -2352,7 +2418,7 @@ Apache Hivemall is an effort undergoing incubation at The 
Apache Software Founda
         
     
         
-        <script 
src="https://cdnjs.cloudflare.com/ajax/libs/anchor-js/4.1.0/anchor.min.js";></script>
+        <script 
src="https://cdnjs.cloudflare.com/ajax/libs/anchor-js/4.1.1/anchor.min.js";></script>
         
     
         

http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/6c6a1b42/userguide/regression/kddcup12tr2.html
----------------------------------------------------------------------
diff --git a/userguide/regression/kddcup12tr2.html 
b/userguide/regression/kddcup12tr2.html
index 30a054f..18a4e01 100644
--- a/userguide/regression/kddcup12tr2.html
+++ b/userguide/regression/kddcup12tr2.html
@@ -861,9 +861,9 @@
         
         
     
-        <li class="chapter " data-level="5.1" 
data-path="../misc/prediction.html">
+        <li class="chapter " data-level="5.1" 
data-path="../supervised_learning/prediction.html">
             
-                <a href="../misc/prediction.html">
+                <a href="../supervised_learning/prediction.html">
             
                     
                         <b>5.1.</b>
@@ -876,6 +876,21 @@
             
         </li>
     
+        <li class="chapter " data-level="5.2" 
data-path="../supervised_learning/tutorial.html">
+            
+                <a href="../supervised_learning/tutorial.html">
+            
+                    
+                        <b>5.2.</b>
+                    
+                    Step-by-Step Tutorial on Supervised Learning
+            
+                </a>
+            
+
+            
+        </li>
+    
 
     
         
@@ -1228,6 +1243,57 @@
             
         </li>
     
+        <li class="chapter " data-level="6.8" 
data-path="../binaryclass/criteo.html">
+            
+                <a href="../binaryclass/criteo.html">
+            
+                    
+                        <b>6.8.</b>
+                    
+                    Criteo Tutorial
+            
+                </a>
+            
+
+            
+            <ul class="articles">
+                
+    
+        <li class="chapter " data-level="6.8.1" 
data-path="../binaryclass/criteo_dataset.html">
+            
+                <a href="../binaryclass/criteo_dataset.html">
+            
+                    
+                        <b>6.8.1.</b>
+                    
+                    Data preparation
+            
+                </a>
+            
+
+            
+        </li>
+    
+        <li class="chapter " data-level="6.8.2" 
data-path="../binaryclass/criteo_ffm.html">
+            
+                <a href="../binaryclass/criteo_ffm.html">
+            
+                    
+                        <b>6.8.2.</b>
+                    
+                    Field-Aware Factorization Machines
+            
+                </a>
+            
+
+            
+        </li>
+    
+
+            </ul>
+            
+        </li>
+    
 
     
         
@@ -2270,7 +2336,7 @@ 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:/
 
/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":"http://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","pri
 
nt":"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":"http://hivemall.incubator.apache.org/"}},"gitbook":"3.x.x","description":"User
 Manual for Apache 
Hivemall"},"file":{"path":"regression/kddcup12tr2.md","mtime":"2017-12-11T08:48:01.141Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-06-06T09:01:20.330Z"},"basePath":"..","book":{"language":""}});
+            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:/
 
/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":"http://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","pri
 
nt":"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":"http://hivemall.incubator.apache.org/"}},"gitbook":"3.x.x","description":"User
 Manual for Apache 
Hivemall"},"file":{"path":"regression/kddcup12tr2.md","mtime":"2018-08-29T08:55:00.284Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-08-31T06:54:21.013Z"},"basePath":"..","book":{"language":""}});
         });
     </script>
 </div>
@@ -2300,7 +2366,7 @@ Apache Hivemall is an effort undergoing incubation at The 
Apache Software Founda
         
     
         
-        <script 
src="https://cdnjs.cloudflare.com/ajax/libs/anchor-js/4.1.0/anchor.min.js";></script>
+        <script 
src="https://cdnjs.cloudflare.com/ajax/libs/anchor-js/4.1.1/anchor.min.js";></script>
         
     
         

http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/6c6a1b42/userguide/regression/kddcup12tr2_adagrad.html
----------------------------------------------------------------------
diff --git a/userguide/regression/kddcup12tr2_adagrad.html 
b/userguide/regression/kddcup12tr2_adagrad.html
index 150811d..5270b12 100644
--- a/userguide/regression/kddcup12tr2_adagrad.html
+++ b/userguide/regression/kddcup12tr2_adagrad.html
@@ -861,9 +861,9 @@
         
         
     
-        <li class="chapter " data-level="5.1" 
data-path="../misc/prediction.html">
+        <li class="chapter " data-level="5.1" 
data-path="../supervised_learning/prediction.html">
             
-                <a href="../misc/prediction.html">
+                <a href="../supervised_learning/prediction.html">
             
                     
                         <b>5.1.</b>
@@ -876,6 +876,21 @@
             
         </li>
     
+        <li class="chapter " data-level="5.2" 
data-path="../supervised_learning/tutorial.html">
+            
+                <a href="../supervised_learning/tutorial.html">
+            
+                    
+                        <b>5.2.</b>
+                    
+                    Step-by-Step Tutorial on Supervised Learning
+            
+                </a>
+            
+
+            
+        </li>
+    
 
     
         
@@ -1228,6 +1243,57 @@
             
         </li>
     
+        <li class="chapter " data-level="6.8" 
data-path="../binaryclass/criteo.html">
+            
+                <a href="../binaryclass/criteo.html">
+            
+                    
+                        <b>6.8.</b>
+                    
+                    Criteo Tutorial
+            
+                </a>
+            
+
+            
+            <ul class="articles">
+                
+    
+        <li class="chapter " data-level="6.8.1" 
data-path="../binaryclass/criteo_dataset.html">
+            
+                <a href="../binaryclass/criteo_dataset.html">
+            
+                    
+                        <b>6.8.1.</b>
+                    
+                    Data preparation
+            
+                </a>
+            
+
+            
+        </li>
+    
+        <li class="chapter " data-level="6.8.2" 
data-path="../binaryclass/criteo_ffm.html">
+            
+                <a href="../binaryclass/criteo_ffm.html">
+            
+                    
+                        <b>6.8.2.</b>
+                    
+                    Field-Aware Factorization Machines
+            
+                </a>
+            
+
+            
+        </li>
+    
+
+            </ul>
+            
+        </li>
+    
 
     
         
@@ -2370,7 +2436,7 @@ Apache Hivemall is an effort undergoing incubation at The 
Apache Software Founda
     <script>
         var gitbook = gitbook || [];
         gitbook.push(function() {
-            gitbook.page.hasChanged({"page":{"title":"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
 
luginsConfig":{"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":"http://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":"http://hivemall.incubator.apache.org/"}},"gitbook":"3.x.x","description":"User
 Manual for Apache 
Hivemall"},"file":{"path":"regression/kddcup12tr2_adagrad.md","mtime":"2017-12-11T08:48:01.141Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-06-06T09:01:20.330Z"},"basePath":"..","book":{"languag
 e":""}});
+            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
 
luginsConfig":{"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":"http://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":"http://hivemall.incubator.apache.org/"}},"gitbook":"3.x.x","description":"User
 Manual for Apache 
Hivemall"},"file":{"path":"regression/kddcup12tr2_adagrad.md","mtime":"2018-08-29T08:55:00.285Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-08-31T06:54:21.013Z"},"basePath":"..","book":{"languag
 e":""}});
         });
     </script>
 </div>
@@ -2400,7 +2466,7 @@ Apache Hivemall is an effort undergoing incubation at The 
Apache Software Founda
         
     
         
-        <script 
src="https://cdnjs.cloudflare.com/ajax/libs/anchor-js/4.1.0/anchor.min.js";></script>
+        <script 
src="https://cdnjs.cloudflare.com/ajax/libs/anchor-js/4.1.1/anchor.min.js";></script>
         
     
         

http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/6c6a1b42/userguide/regression/kddcup12tr2_dataset.html
----------------------------------------------------------------------
diff --git a/userguide/regression/kddcup12tr2_dataset.html 
b/userguide/regression/kddcup12tr2_dataset.html
index 5b4e8d5..6b48153 100644
--- a/userguide/regression/kddcup12tr2_dataset.html
+++ b/userguide/regression/kddcup12tr2_dataset.html
@@ -861,9 +861,9 @@
         
         
     
-        <li class="chapter " data-level="5.1" 
data-path="../misc/prediction.html">
+        <li class="chapter " data-level="5.1" 
data-path="../supervised_learning/prediction.html">
             
-                <a href="../misc/prediction.html">
+                <a href="../supervised_learning/prediction.html">
             
                     
                         <b>5.1.</b>
@@ -876,6 +876,21 @@
             
         </li>
     
+        <li class="chapter " data-level="5.2" 
data-path="../supervised_learning/tutorial.html">
+            
+                <a href="../supervised_learning/tutorial.html">
+            
+                    
+                        <b>5.2.</b>
+                    
+                    Step-by-Step Tutorial on Supervised Learning
+            
+                </a>
+            
+
+            
+        </li>
+    
 
     
         
@@ -1228,6 +1243,57 @@
             
         </li>
     
+        <li class="chapter " data-level="6.8" 
data-path="../binaryclass/criteo.html">
+            
+                <a href="../binaryclass/criteo.html">
+            
+                    
+                        <b>6.8.</b>
+                    
+                    Criteo Tutorial
+            
+                </a>
+            
+
+            
+            <ul class="articles">
+                
+    
+        <li class="chapter " data-level="6.8.1" 
data-path="../binaryclass/criteo_dataset.html">
+            
+                <a href="../binaryclass/criteo_dataset.html">
+            
+                    
+                        <b>6.8.1.</b>
+                    
+                    Data preparation
+            
+                </a>
+            
+
+            
+        </li>
+    
+        <li class="chapter " data-level="6.8.2" 
data-path="../binaryclass/criteo_ffm.html">
+            
+                <a href="../binaryclass/criteo_ffm.html">
+            
+                    
+                        <b>6.8.2.</b>
+                    
+                    Field-Aware Factorization Machines
+            
+                </a>
+            
+
+            
+        </li>
+    
+
+            </ul>
+            
+        </li>
+    
 
     
         
@@ -2519,7 +2585,7 @@ 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 
preparation","level":"8.3.1","depth":2,"next":{"title":"Logistic Regression, 
Passive 
Aggressive","level":"8.3.2","depth":2,"path":"regression/kddcup12tr2_lr.md","ref":"regression/kddcup12tr2_lr.md","articles":[]},"previous":{"title":"KDDCup
 2012 Track 2 CTR Prediction 
Tutorial","level":"8.3","depth":1,"path":"regression/kddcup12tr2.md","ref":"regression/kddcup12tr2.md","articles":[{"title":"Data
 
preparation","level":"8.3.1","depth":2,"path":"regression/kddcup12tr2_dataset.md","ref":"regression/kddcup12tr2_dataset.md","articles":[]},{"title":"Logistic
 Regression, Passive 
Aggressive","level":"8.3.2","depth":2,"path":"regression/kddcup12tr2_lr.md","ref":"regression/kddcup12tr2_lr.md","articles":[]},{"title":"Logistic
 Regression with 
amplifier","level":"8.3.3","depth":2,"path":"regression/kddcup12tr2_lr_amplify.md","ref":"regression/kddcup12tr2_lr_amplify.md","articles":[]},{"title":"AdaGrad,
 AdaDelta","level":"8.3.4","depth":2,
 
"path":"regression/kddcup12tr2_adagrad.md","ref":"regression/kddcup12tr2_adagrad.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":{},"fo
 
ntsettings":{"theme":"white","family":"sans","size":2,"font":"sans"},"highlight":{},"codeblock-filename":{},"sitemap":{"hostname":"http://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,"bot
 
tom":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":"http://hivemall.incubator.apache.org/"}},"gitbook":"3.x.x","description":"User
 Manual for Apache 
Hivemall"},"file":{"path":"regression/kddcup12tr2_dataset.md","mtime":"2017-12-11T08:48:01.142Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-06-06T09:01:20.330Z"},"basePath":"..","book":{"language":""}});
+            gitbook.page.hasChanged({"page":{"title":"Data 
preparation","level":"8.3.1","depth":2,"next":{"title":"Logistic Regression, 
Passive 
Aggressive","level":"8.3.2","depth":2,"path":"regression/kddcup12tr2_lr.md","ref":"regression/kddcup12tr2_lr.md","articles":[]},"previous":{"title":"KDDCup
 2012 Track 2 CTR Prediction 
Tutorial","level":"8.3","depth":1,"path":"regression/kddcup12tr2.md","ref":"regression/kddcup12tr2.md","articles":[{"title":"Data
 
preparation","level":"8.3.1","depth":2,"path":"regression/kddcup12tr2_dataset.md","ref":"regression/kddcup12tr2_dataset.md","articles":[]},{"title":"Logistic
 Regression, Passive 
Aggressive","level":"8.3.2","depth":2,"path":"regression/kddcup12tr2_lr.md","ref":"regression/kddcup12tr2_lr.md","articles":[]},{"title":"Logistic
 Regression with 
amplifier","level":"8.3.3","depth":2,"path":"regression/kddcup12tr2_lr_amplify.md","ref":"regression/kddcup12tr2_lr_amplify.md","articles":[]},{"title":"AdaGrad,
 AdaDelta","level":"8.3.4","depth":2,
 
"path":"regression/kddcup12tr2_adagrad.md","ref":"regression/kddcup12tr2_adagrad.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":{},"fo
 
ntsettings":{"theme":"white","family":"sans","size":2,"font":"sans"},"highlight":{},"codeblock-filename":{},"sitemap":{"hostname":"http://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,"bot
 
tom":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":"http://hivemall.incubator.apache.org/"}},"gitbook":"3.x.x","description":"User
 Manual for Apache 
Hivemall"},"file":{"path":"regression/kddcup12tr2_dataset.md","mtime":"2018-08-29T08:55:00.285Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-08-31T06:54:21.013Z"},"basePath":"..","book":{"language":""}});
         });
     </script>
 </div>
@@ -2549,7 +2615,7 @@ Apache Hivemall is an effort undergoing incubation at The 
Apache Software Founda
         
     
         
-        <script 
src="https://cdnjs.cloudflare.com/ajax/libs/anchor-js/4.1.0/anchor.min.js";></script>
+        <script 
src="https://cdnjs.cloudflare.com/ajax/libs/anchor-js/4.1.1/anchor.min.js";></script>
         
     
         

http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/6c6a1b42/userguide/regression/kddcup12tr2_lr.html
----------------------------------------------------------------------
diff --git a/userguide/regression/kddcup12tr2_lr.html 
b/userguide/regression/kddcup12tr2_lr.html
index 87022b0..9fa0660 100644
--- a/userguide/regression/kddcup12tr2_lr.html
+++ b/userguide/regression/kddcup12tr2_lr.html
@@ -861,9 +861,9 @@
         
         
     
-        <li class="chapter " data-level="5.1" 
data-path="../misc/prediction.html">
+        <li class="chapter " data-level="5.1" 
data-path="../supervised_learning/prediction.html">
             
-                <a href="../misc/prediction.html">
+                <a href="../supervised_learning/prediction.html">
             
                     
                         <b>5.1.</b>
@@ -876,6 +876,21 @@
             
         </li>
     
+        <li class="chapter " data-level="5.2" 
data-path="../supervised_learning/tutorial.html">
+            
+                <a href="../supervised_learning/tutorial.html">
+            
+                    
+                        <b>5.2.</b>
+                    
+                    Step-by-Step Tutorial on Supervised Learning
+            
+                </a>
+            
+
+            
+        </li>
+    
 
     
         
@@ -1228,6 +1243,57 @@
             
         </li>
     
+        <li class="chapter " data-level="6.8" 
data-path="../binaryclass/criteo.html">
+            
+                <a href="../binaryclass/criteo.html">
+            
+                    
+                        <b>6.8.</b>
+                    
+                    Criteo Tutorial
+            
+                </a>
+            
+
+            
+            <ul class="articles">
+                
+    
+        <li class="chapter " data-level="6.8.1" 
data-path="../binaryclass/criteo_dataset.html">
+            
+                <a href="../binaryclass/criteo_dataset.html">
+            
+                    
+                        <b>6.8.1.</b>
+                    
+                    Data preparation
+            
+                </a>
+            
+
+            
+        </li>
+    
+        <li class="chapter " data-level="6.8.2" 
data-path="../binaryclass/criteo_ffm.html">
+            
+                <a href="../binaryclass/criteo_ffm.html">
+            
+                    
+                        <b>6.8.2.</b>
+                    
+                    Field-Aware Factorization Machines
+            
+                </a>
+            
+
+            
+        </li>
+    
+
+            </ul>
+            
+        </li>
+    
 
     
         
@@ -2420,7 +2486,7 @@ Apache Hivemall is an effort undergoing incubation at The 
Apache Software Founda
     <script>
         var gitbook = gitbook || [];
         gitbook.push(function() {
-            gitbook.page.hasChanged({"page":{"title":"Logistic Regression, 
Passive Aggressive","level":"8.3.2","depth":2,"next":{"title":"Logistic 
Regression with 
amplifier","level":"8.3.3","depth":2,"path":"regression/kddcup12tr2_lr_amplify.md","ref":"regression/kddcup12tr2_lr_amplify.md","articles":[]},"previous":{"title":"Data
 
preparation","level":"8.3.1","depth":2,"path":"regression/kddcup12tr2_dataset.md","ref":"regression/kddcup12tr2_dataset.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":"http://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":"http://hivemall.incubator.apache.org/"}},"gitbook":"3.x.x","description":"User
 Manual for Apache 
Hivemall"},"file":{"path":"regression/kddcup12tr2_lr.md","mtime":"2017-12-11T08:48:01.142Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-06-06T09:01:20.330Z"},"basePath":"..","book":{"language":""}});
+            gitbook.page.hasChanged({"page":{"title":"Logistic Regression, 
Passive Aggressive","level":"8.3.2","depth":2,"next":{"title":"Logistic 
Regression with 
amplifier","level":"8.3.3","depth":2,"path":"regression/kddcup12tr2_lr_amplify.md","ref":"regression/kddcup12tr2_lr_amplify.md","articles":[]},"previous":{"title":"Data
 
preparation","level":"8.3.1","depth":2,"path":"regression/kddcup12tr2_dataset.md","ref":"regression/kddcup12tr2_dataset.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":"http://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":"http://hivemall.incubator.apache.org/"}},"gitbook":"3.x.x","description":"User
 Manual for Apache 
Hivemall"},"file":{"path":"regression/kddcup12tr2_lr.md","mtime":"2018-08-29T08:55:00.285Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-08-31T06:54:21.013Z"},"basePath":"..","book":{"language":""}});
         });
     </script>
 </div>
@@ -2450,7 +2516,7 @@ Apache Hivemall is an effort undergoing incubation at The 
Apache Software Founda
         
     
         
-        <script 
src="https://cdnjs.cloudflare.com/ajax/libs/anchor-js/4.1.0/anchor.min.js";></script>
+        <script 
src="https://cdnjs.cloudflare.com/ajax/libs/anchor-js/4.1.1/anchor.min.js";></script>
         
     
         

http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/6c6a1b42/userguide/regression/kddcup12tr2_lr_amplify.html
----------------------------------------------------------------------
diff --git a/userguide/regression/kddcup12tr2_lr_amplify.html 
b/userguide/regression/kddcup12tr2_lr_amplify.html
index 351d392..43f35e5 100644
--- a/userguide/regression/kddcup12tr2_lr_amplify.html
+++ b/userguide/regression/kddcup12tr2_lr_amplify.html
@@ -861,9 +861,9 @@
         
         
     
-        <li class="chapter " data-level="5.1" 
data-path="../misc/prediction.html">
+        <li class="chapter " data-level="5.1" 
data-path="../supervised_learning/prediction.html">
             
-                <a href="../misc/prediction.html">
+                <a href="../supervised_learning/prediction.html">
             
                     
                         <b>5.1.</b>
@@ -876,6 +876,21 @@
             
         </li>
     
+        <li class="chapter " data-level="5.2" 
data-path="../supervised_learning/tutorial.html">
+            
+                <a href="../supervised_learning/tutorial.html">
+            
+                    
+                        <b>5.2.</b>
+                    
+                    Step-by-Step Tutorial on Supervised Learning
+            
+                </a>
+            
+
+            
+        </li>
+    
 
     
         
@@ -1228,6 +1243,57 @@
             
         </li>
     
+        <li class="chapter " data-level="6.8" 
data-path="../binaryclass/criteo.html">
+            
+                <a href="../binaryclass/criteo.html">
+            
+                    
+                        <b>6.8.</b>
+                    
+                    Criteo Tutorial
+            
+                </a>
+            
+
+            
+            <ul class="articles">
+                
+    
+        <li class="chapter " data-level="6.8.1" 
data-path="../binaryclass/criteo_dataset.html">
+            
+                <a href="../binaryclass/criteo_dataset.html">
+            
+                    
+                        <b>6.8.1.</b>
+                    
+                    Data preparation
+            
+                </a>
+            
+
+            
+        </li>
+    
+        <li class="chapter " data-level="6.8.2" 
data-path="../binaryclass/criteo_ffm.html">
+            
+                <a href="../binaryclass/criteo_ffm.html">
+            
+                    
+                        <b>6.8.2.</b>
+                    
+                    Field-Aware Factorization Machines
+            
+                </a>
+            
+
+            
+        </li>
+    
+
+            </ul>
+            
+        </li>
+    
 
     
         
@@ -2364,7 +2430,7 @@ Apache Hivemall is an effort undergoing incubation at The 
Apache Software Founda
     <script>
         var gitbook = gitbook || [];
         gitbook.push(function() {
-            gitbook.page.hasChanged({"page":{"title":"Logistic Regression with 
amplifier","level":"8.3.3","depth":2,"next":{"title":"AdaGrad, 
AdaDelta","level":"8.3.4","depth":2,"path":"regression/kddcup12tr2_adagrad.md","ref":"regression/kddcup12tr2_adagrad.md","articles":[]},"previous":{"title":"Logistic
 Regression, Passive 
Aggressive","level":"8.3.2","depth":2,"path":"regression/kddcup12tr2_lr.md","ref":"regression/kddcup12tr2_lr.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":"http://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":"style
 
s/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":"http://hivemall.incubator.apache.org/"}},"gitbook":"3.x.x","description":"User
 Manual for Apache 
Hivemall"},"file":{"path":"regression/kddcup12tr2_lr_amplify.md","mtime":"2017-12-11T08:48:01.142Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-06-06T09:01:20.330Z"},"basePath":"..","book":{"language":""}});
+            gitbook.page.hasChanged({"page":{"title":"Logistic Regression with 
amplifier","level":"8.3.3","depth":2,"next":{"title":"AdaGrad, 
AdaDelta","level":"8.3.4","depth":2,"path":"regression/kddcup12tr2_adagrad.md","ref":"regression/kddcup12tr2_adagrad.md","articles":[]},"previous":{"title":"Logistic
 Regression, Passive 
Aggressive","level":"8.3.2","depth":2,"path":"regression/kddcup12tr2_lr.md","ref":"regression/kddcup12tr2_lr.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":"http://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":"style
 
s/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":"http://hivemall.incubator.apache.org/"}},"gitbook":"3.x.x","description":"User
 Manual for Apache 
Hivemall"},"file":{"path":"regression/kddcup12tr2_lr_amplify.md","mtime":"2018-08-29T08:55:00.285Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-08-31T06:54:21.013Z"},"basePath":"..","book":{"language":""}});
         });
     </script>
 </div>
@@ -2394,7 +2460,7 @@ Apache Hivemall is an effort undergoing incubation at The 
Apache Software Founda
         
     
         
-        <script 
src="https://cdnjs.cloudflare.com/ajax/libs/anchor-js/4.1.0/anchor.min.js";></script>
+        <script 
src="https://cdnjs.cloudflare.com/ajax/libs/anchor-js/4.1.1/anchor.min.js";></script>
         
     
         

Reply via email to