http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/2d3fdeb2/userguide/recommend/movielens.html
----------------------------------------------------------------------
diff --git a/userguide/recommend/movielens.html 
b/userguide/recommend/movielens.html
index 0c7fc53..37e64b8 100644
--- a/userguide/recommend/movielens.html
+++ b/userguide/recommend/movielens.html
@@ -1579,6 +1579,36 @@
             
         </li>
     
+        <li class="chapter " data-level="9.2" data-path="../anomaly/sst.html">
+            
+                <a href="../anomaly/sst.html">
+            
+                    
+                        <b>9.2.</b>
+                    
+                    Change-Point Detection using Singular Spectrum 
Transformation (SST)
+            
+                </a>
+            
+
+            
+        </li>
+    
+        <li class="chapter " data-level="9.3" 
data-path="../anomaly/changefinder.html">
+            
+                <a href="../anomaly/changefinder.html">
+            
+                    
+                        <b>9.3.</b>
+                    
+                    ChangeFinder: Detecting Outlier and Change-Point 
Simultaneously
+            
+                </a>
+            
+
+            
+        </li>
+    
 
     
         
@@ -1586,13 +1616,85 @@
         
         
     
-        <li class="chapter " data-level="10.1" 
data-path="../spark/misc/misc.html">
+        <li class="chapter " data-level="10.1" 
data-path="../spark/binaryclass/">
             
-                <a href="../spark/misc/misc.html">
+                <a href="../spark/binaryclass/">
             
                     
                         <b>10.1.</b>
                     
+                    Binary Classification
+            
+                </a>
+            
+
+            
+            <ul class="articles">
+                
+    
+        <li class="chapter " data-level="10.1.1" 
data-path="../spark/binaryclass/a9a_df.html">
+            
+                <a href="../spark/binaryclass/a9a_df.html">
+            
+                    
+                        <b>10.1.1.</b>
+                    
+                    a9a Tutorial for DataFrame
+            
+                </a>
+            
+
+            
+        </li>
+    
+
+            </ul>
+            
+        </li>
+    
+        <li class="chapter " data-level="10.2" 
data-path="../spark/binaryclass/">
+            
+                <a href="../spark/binaryclass/">
+            
+                    
+                        <b>10.2.</b>
+                    
+                    Regression
+            
+                </a>
+            
+
+            
+            <ul class="articles">
+                
+    
+        <li class="chapter " data-level="10.2.1" 
data-path="../spark/regression/e2006_df.html">
+            
+                <a href="../spark/regression/e2006_df.html">
+            
+                    
+                        <b>10.2.1.</b>
+                    
+                    E2006-tfidf regression Tutorial for DataFrame
+            
+                </a>
+            
+
+            
+        </li>
+    
+
+            </ul>
+            
+        </li>
+    
+        <li class="chapter " data-level="10.3" 
data-path="../spark/misc/misc.html">
+            
+                <a href="../spark/misc/misc.html">
+            
+                    
+                        <b>10.3.</b>
+                    
                     Generic features
             
                 </a>
@@ -1602,12 +1704,12 @@
             <ul class="articles">
                 
     
-        <li class="chapter " data-level="10.1.1" 
data-path="../spark/misc/topk_join.html">
+        <li class="chapter " data-level="10.3.1" 
data-path="../spark/misc/topk_join.html">
             
                 <a href="../spark/misc/topk_join.html">
             
                     
-                        <b>10.1.1.</b>
+                        <b>10.3.1.</b>
                     
                     Top-k Join processing
             
@@ -1777,7 +1879,7 @@ Apache Hivemall is an effort undergoing incubation at The 
Apache Software Founda
     <script>
         var gitbook = gitbook || [];
         gitbook.push(function() {
-            gitbook.page.hasChanged({"page":{"title":"MovieLens movie 
recommendation Tutorial","level":"8.3","depth":1,"next":{"title":"Data 
preparation","level":"8.3.1","depth":2,"path":"recommend/movielens_dataset.md","ref":"recommend/movielens_dataset.md","articles":[]},"previous":{"title":"kNN
 search using b-Bits 
Minhash","level":"8.2.4","depth":2,"path":"recommend/news20_bbit_minhash.md","ref":"recommend/news20_bbit_minhash.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":{"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"},"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/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":"recommend/movielens.md","mtime":"2016-12-02T08:02:42.000Z","type":"markdown"},"gitbook":{"version":"3.2.2","time":"2017-02-02T05:07:49.882Z"},"basePath":"..","book":{"language":""}});
+            gitbook.page.hasChanged({"page":{"title":"MovieLens movie 
recommendation Tutorial","level":"8.3","depth":1,"next":{"title":"Data 
preparation","level":"8.3.1","depth":2,"path":"recommend/movielens_dataset.md","ref":"recommend/movielens_dataset.md","articles":[]},"previous":{"title":"kNN
 search using b-Bits 
Minhash","level":"8.2.4","depth":2,"path":"recommend/news20_bbit_minhash.md","ref":"recommend/news20_bbit_minhash.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":{"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"},"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/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":"recommend/movielens.md","mtime":"2016-12-02T08:02:42.000Z","type":"markdown"},"gitbook":{"version":"3.2.2","time":"2017-02-23T13:06:39.809Z"},"basePath":"..","book":{"language":""}});
         });
     </script>
 </div>

http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/2d3fdeb2/userguide/recommend/movielens_cv.html
----------------------------------------------------------------------
diff --git a/userguide/recommend/movielens_cv.html 
b/userguide/recommend/movielens_cv.html
index 32ca196..aa65abb 100644
--- a/userguide/recommend/movielens_cv.html
+++ b/userguide/recommend/movielens_cv.html
@@ -1579,6 +1579,36 @@
             
         </li>
     
+        <li class="chapter " data-level="9.2" data-path="../anomaly/sst.html">
+            
+                <a href="../anomaly/sst.html">
+            
+                    
+                        <b>9.2.</b>
+                    
+                    Change-Point Detection using Singular Spectrum 
Transformation (SST)
+            
+                </a>
+            
+
+            
+        </li>
+    
+        <li class="chapter " data-level="9.3" 
data-path="../anomaly/changefinder.html">
+            
+                <a href="../anomaly/changefinder.html">
+            
+                    
+                        <b>9.3.</b>
+                    
+                    ChangeFinder: Detecting Outlier and Change-Point 
Simultaneously
+            
+                </a>
+            
+
+            
+        </li>
+    
 
     
         
@@ -1586,13 +1616,85 @@
         
         
     
-        <li class="chapter " data-level="10.1" 
data-path="../spark/misc/misc.html">
+        <li class="chapter " data-level="10.1" 
data-path="../spark/binaryclass/">
             
-                <a href="../spark/misc/misc.html">
+                <a href="../spark/binaryclass/">
             
                     
                         <b>10.1.</b>
                     
+                    Binary Classification
+            
+                </a>
+            
+
+            
+            <ul class="articles">
+                
+    
+        <li class="chapter " data-level="10.1.1" 
data-path="../spark/binaryclass/a9a_df.html">
+            
+                <a href="../spark/binaryclass/a9a_df.html">
+            
+                    
+                        <b>10.1.1.</b>
+                    
+                    a9a Tutorial for DataFrame
+            
+                </a>
+            
+
+            
+        </li>
+    
+
+            </ul>
+            
+        </li>
+    
+        <li class="chapter " data-level="10.2" 
data-path="../spark/binaryclass/">
+            
+                <a href="../spark/binaryclass/">
+            
+                    
+                        <b>10.2.</b>
+                    
+                    Regression
+            
+                </a>
+            
+
+            
+            <ul class="articles">
+                
+    
+        <li class="chapter " data-level="10.2.1" 
data-path="../spark/regression/e2006_df.html">
+            
+                <a href="../spark/regression/e2006_df.html">
+            
+                    
+                        <b>10.2.1.</b>
+                    
+                    E2006-tfidf regression Tutorial for DataFrame
+            
+                </a>
+            
+
+            
+        </li>
+    
+
+            </ul>
+            
+        </li>
+    
+        <li class="chapter " data-level="10.3" 
data-path="../spark/misc/misc.html">
+            
+                <a href="../spark/misc/misc.html">
+            
+                    
+                        <b>10.3.</b>
+                    
                     Generic features
             
                 </a>
@@ -1602,12 +1704,12 @@
             <ul class="articles">
                 
     
-        <li class="chapter " data-level="10.1.1" 
data-path="../spark/misc/topk_join.html">
+        <li class="chapter " data-level="10.3.1" 
data-path="../spark/misc/topk_join.html">
             
                 <a href="../spark/misc/topk_join.html">
             
                     
-                        <b>10.1.1.</b>
+                        <b>10.3.1.</b>
                     
                     Top-k Join processing
             
@@ -1828,7 +1930,7 @@ Apache Hivemall is an effort undergoing incubation at The 
Apache Software Founda
     <script>
         var gitbook = gitbook || [];
         gitbook.push(function() {
-            gitbook.page.hasChanged({"page":{"title":"10-fold Cross Validation 
(Matrix Factorization)","level":"8.3.4","depth":2,"next":{"title":"Outlier 
Detection using Local Outlier Factor 
(LOF)","level":"9.1","depth":1,"path":"anomaly/lof.md","ref":"anomaly/lof.md","articles":[]},"previous":{"title":"Factorization
 
Machine","level":"8.3.3","depth":2,"path":"recommend/movielens_fm.md","ref":"recommend/movielens_fm.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":{"maxdepth":3,"mindepth":1,"notoc":true},"github":{"url":"https://github.com/apache/in
 
cubator-hivemall/"},"splitter":{},"search":{},"downloadpdf":{"base":"https://github.com/apache/incubator-hivemall/docs/gitbook","label":"PDF","multilingual":false},"multipart":{},"localized-footer":{"filename":"FOOTER.md"},"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/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},"ancho
 rjs":{"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":"recommend/movielens_cv.md","mtime":"2016-12-02T08:02:42.000Z","type":"markdown"},"gitbook":{"version":"3.2.2","time":"2017-02-02T05:07:49.882Z"},"basePath":"..","book":{"language":""}});
+            gitbook.page.hasChanged({"page":{"title":"10-fold Cross Validation 
(Matrix Factorization)","level":"8.3.4","depth":2,"next":{"title":"Outlier 
Detection using Local Outlier Factor 
(LOF)","level":"9.1","depth":1,"path":"anomaly/lof.md","ref":"anomaly/lof.md","articles":[]},"previous":{"title":"Factorization
 
Machine","level":"8.3.3","depth":2,"path":"recommend/movielens_fm.md","ref":"recommend/movielens_fm.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":{"maxdepth":3,"mindepth":1,"notoc":true},"github":{"url":"https://github.com/apache/in
 
cubator-hivemall/"},"splitter":{},"search":{},"downloadpdf":{"base":"https://github.com/apache/incubator-hivemall/docs/gitbook","label":"PDF","multilingual":false},"multipart":{},"localized-footer":{"filename":"FOOTER.md"},"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/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},"ancho
 rjs":{"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":"recommend/movielens_cv.md","mtime":"2016-12-02T08:02:42.000Z","type":"markdown"},"gitbook":{"version":"3.2.2","time":"2017-02-23T13:06:39.809Z"},"basePath":"..","book":{"language":""}});
         });
     </script>
 </div>

http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/2d3fdeb2/userguide/recommend/movielens_dataset.html
----------------------------------------------------------------------
diff --git a/userguide/recommend/movielens_dataset.html 
b/userguide/recommend/movielens_dataset.html
index 6bf99c9..05139f8 100644
--- a/userguide/recommend/movielens_dataset.html
+++ b/userguide/recommend/movielens_dataset.html
@@ -1579,6 +1579,36 @@
             
         </li>
     
+        <li class="chapter " data-level="9.2" data-path="../anomaly/sst.html">
+            
+                <a href="../anomaly/sst.html">
+            
+                    
+                        <b>9.2.</b>
+                    
+                    Change-Point Detection using Singular Spectrum 
Transformation (SST)
+            
+                </a>
+            
+
+            
+        </li>
+    
+        <li class="chapter " data-level="9.3" 
data-path="../anomaly/changefinder.html">
+            
+                <a href="../anomaly/changefinder.html">
+            
+                    
+                        <b>9.3.</b>
+                    
+                    ChangeFinder: Detecting Outlier and Change-Point 
Simultaneously
+            
+                </a>
+            
+
+            
+        </li>
+    
 
     
         
@@ -1586,13 +1616,85 @@
         
         
     
-        <li class="chapter " data-level="10.1" 
data-path="../spark/misc/misc.html">
+        <li class="chapter " data-level="10.1" 
data-path="../spark/binaryclass/">
             
-                <a href="../spark/misc/misc.html">
+                <a href="../spark/binaryclass/">
             
                     
                         <b>10.1.</b>
                     
+                    Binary Classification
+            
+                </a>
+            
+
+            
+            <ul class="articles">
+                
+    
+        <li class="chapter " data-level="10.1.1" 
data-path="../spark/binaryclass/a9a_df.html">
+            
+                <a href="../spark/binaryclass/a9a_df.html">
+            
+                    
+                        <b>10.1.1.</b>
+                    
+                    a9a Tutorial for DataFrame
+            
+                </a>
+            
+
+            
+        </li>
+    
+
+            </ul>
+            
+        </li>
+    
+        <li class="chapter " data-level="10.2" 
data-path="../spark/binaryclass/">
+            
+                <a href="../spark/binaryclass/">
+            
+                    
+                        <b>10.2.</b>
+                    
+                    Regression
+            
+                </a>
+            
+
+            
+            <ul class="articles">
+                
+    
+        <li class="chapter " data-level="10.2.1" 
data-path="../spark/regression/e2006_df.html">
+            
+                <a href="../spark/regression/e2006_df.html">
+            
+                    
+                        <b>10.2.1.</b>
+                    
+                    E2006-tfidf regression Tutorial for DataFrame
+            
+                </a>
+            
+
+            
+        </li>
+    
+
+            </ul>
+            
+        </li>
+    
+        <li class="chapter " data-level="10.3" 
data-path="../spark/misc/misc.html">
+            
+                <a href="../spark/misc/misc.html">
+            
+                    
+                        <b>10.3.</b>
+                    
                     Generic features
             
                 </a>
@@ -1602,12 +1704,12 @@
             <ul class="articles">
                 
     
-        <li class="chapter " data-level="10.1.1" 
data-path="../spark/misc/topk_join.html">
+        <li class="chapter " data-level="10.3.1" 
data-path="../spark/misc/topk_join.html">
             
                 <a href="../spark/misc/topk_join.html">
             
                     
-                        <b>10.1.1.</b>
+                        <b>10.3.1.</b>
                     
                     Top-k Join processing
             
@@ -1921,7 +2023,7 @@ 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":"Matrix 
Factorization","level":"8.3.2","depth":2,"path":"recommend/movielens_mf.md","ref":"recommend/movielens_mf.md","articles":[]},"previous":{"title":"MovieLens
 movie recommendation 
Tutorial","level":"8.3","depth":1,"path":"recommend/movielens.md","ref":"recommend/movielens.md","articles":[{"title":"Data
 
preparation","level":"8.3.1","depth":2,"path":"recommend/movielens_dataset.md","ref":"recommend/movielens_dataset.md","articles":[]},{"title":"Matrix
 
Factorization","level":"8.3.2","depth":2,"path":"recommend/movielens_mf.md","ref":"recommend/movielens_mf.md","articles":[]},{"title":"Factorization
 
Machine","level":"8.3.3","depth":2,"path":"recommend/movielens_fm.md","ref":"recommend/movielens_fm.md","articles":[]},{"title":"10-fold
 Cross Validation (Matrix 
Factorization)","level":"8.3.4","depth":2,"path":"recommend/movielens_cv.md","ref":"recommend/movielens_cv.md","a
 
rticles":[]}]},"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":{"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"},"lunr":{"maxIndexSize":1000000,"ignoreSpecialCharacters":false},"katex":{},"fontsettings":{"theme":"white","family":"sans","size":2,"font":"sans"},"highlight":{},"codeblock-filename":{},"sitemap":{"ho
 
stname":"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/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":"recommend/movielens_dataset.md","mtime":"2016-12-02T08:02:42.000Z","type":"markdown"},"gitbook":{"version":"3.2.2","time":"2017-02-02T05:07:49.882Z"},"basePath":"..","book":{"language":""}});
+            gitbook.page.hasChanged({"page":{"title":"Data 
preparation","level":"8.3.1","depth":2,"next":{"title":"Matrix 
Factorization","level":"8.3.2","depth":2,"path":"recommend/movielens_mf.md","ref":"recommend/movielens_mf.md","articles":[]},"previous":{"title":"MovieLens
 movie recommendation 
Tutorial","level":"8.3","depth":1,"path":"recommend/movielens.md","ref":"recommend/movielens.md","articles":[{"title":"Data
 
preparation","level":"8.3.1","depth":2,"path":"recommend/movielens_dataset.md","ref":"recommend/movielens_dataset.md","articles":[]},{"title":"Matrix
 
Factorization","level":"8.3.2","depth":2,"path":"recommend/movielens_mf.md","ref":"recommend/movielens_mf.md","articles":[]},{"title":"Factorization
 
Machine","level":"8.3.3","depth":2,"path":"recommend/movielens_fm.md","ref":"recommend/movielens_fm.md","articles":[]},{"title":"10-fold
 Cross Validation (Matrix 
Factorization)","level":"8.3.4","depth":2,"path":"recommend/movielens_cv.md","ref":"recommend/movielens_cv.md","a
 
rticles":[]}]},"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":{"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"},"lunr":{"maxIndexSize":1000000,"ignoreSpecialCharacters":false},"katex":{},"fontsettings":{"theme":"white","family":"sans","size":2,"font":"sans"},"highlight":{},"codeblock-filename":{},"sitemap":{"ho
 
stname":"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/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":"recommend/movielens_dataset.md","mtime":"2016-12-02T08:02:42.000Z","type":"markdown"},"gitbook":{"version":"3.2.2","time":"2017-02-23T13:06:39.809Z"},"basePath":"..","book":{"language":""}});
         });
     </script>
 </div>

http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/2d3fdeb2/userguide/recommend/movielens_fm.html
----------------------------------------------------------------------
diff --git a/userguide/recommend/movielens_fm.html 
b/userguide/recommend/movielens_fm.html
index b62cc73..71d1a09 100644
--- a/userguide/recommend/movielens_fm.html
+++ b/userguide/recommend/movielens_fm.html
@@ -1579,6 +1579,36 @@
             
         </li>
     
+        <li class="chapter " data-level="9.2" data-path="../anomaly/sst.html">
+            
+                <a href="../anomaly/sst.html">
+            
+                    
+                        <b>9.2.</b>
+                    
+                    Change-Point Detection using Singular Spectrum 
Transformation (SST)
+            
+                </a>
+            
+
+            
+        </li>
+    
+        <li class="chapter " data-level="9.3" 
data-path="../anomaly/changefinder.html">
+            
+                <a href="../anomaly/changefinder.html">
+            
+                    
+                        <b>9.3.</b>
+                    
+                    ChangeFinder: Detecting Outlier and Change-Point 
Simultaneously
+            
+                </a>
+            
+
+            
+        </li>
+    
 
     
         
@@ -1586,13 +1616,85 @@
         
         
     
-        <li class="chapter " data-level="10.1" 
data-path="../spark/misc/misc.html">
+        <li class="chapter " data-level="10.1" 
data-path="../spark/binaryclass/">
             
-                <a href="../spark/misc/misc.html">
+                <a href="../spark/binaryclass/">
             
                     
                         <b>10.1.</b>
                     
+                    Binary Classification
+            
+                </a>
+            
+
+            
+            <ul class="articles">
+                
+    
+        <li class="chapter " data-level="10.1.1" 
data-path="../spark/binaryclass/a9a_df.html">
+            
+                <a href="../spark/binaryclass/a9a_df.html">
+            
+                    
+                        <b>10.1.1.</b>
+                    
+                    a9a Tutorial for DataFrame
+            
+                </a>
+            
+
+            
+        </li>
+    
+
+            </ul>
+            
+        </li>
+    
+        <li class="chapter " data-level="10.2" 
data-path="../spark/binaryclass/">
+            
+                <a href="../spark/binaryclass/">
+            
+                    
+                        <b>10.2.</b>
+                    
+                    Regression
+            
+                </a>
+            
+
+            
+            <ul class="articles">
+                
+    
+        <li class="chapter " data-level="10.2.1" 
data-path="../spark/regression/e2006_df.html">
+            
+                <a href="../spark/regression/e2006_df.html">
+            
+                    
+                        <b>10.2.1.</b>
+                    
+                    E2006-tfidf regression Tutorial for DataFrame
+            
+                </a>
+            
+
+            
+        </li>
+    
+
+            </ul>
+            
+        </li>
+    
+        <li class="chapter " data-level="10.3" 
data-path="../spark/misc/misc.html">
+            
+                <a href="../spark/misc/misc.html">
+            
+                    
+                        <b>10.3.</b>
+                    
                     Generic features
             
                 </a>
@@ -1602,12 +1704,12 @@
             <ul class="articles">
                 
     
-        <li class="chapter " data-level="10.1.1" 
data-path="../spark/misc/topk_join.html">
+        <li class="chapter " data-level="10.3.1" 
data-path="../spark/misc/topk_join.html">
             
                 <a href="../spark/misc/topk_join.html">
             
                     
-                        <b>10.1.1.</b>
+                        <b>10.3.1.</b>
                     
                     Top-k Join processing
             
@@ -2014,7 +2116,7 @@ Apache Hivemall is an effort undergoing incubation at The 
Apache Software Founda
     <script>
         var gitbook = gitbook || [];
         gitbook.push(function() {
-            gitbook.page.hasChanged({"page":{"title":"Factorization 
Machine","level":"8.3.3","depth":2,"next":{"title":"10-fold Cross Validation 
(Matrix 
Factorization)","level":"8.3.4","depth":2,"path":"recommend/movielens_cv.md","ref":"recommend/movielens_cv.md","articles":[]},"previous":{"title":"Matrix
 
Factorization","level":"8.3.2","depth":2,"path":"recommend/movielens_mf.md","ref":"recommend/movielens_mf.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":{"maxdepth":3,"mindepth":1,"notoc":true},"github":{"url":"https://github.com/apache/incubato
 
r-hivemall/"},"splitter":{},"search":{},"downloadpdf":{"base":"https://github.com/apache/incubator-hivemall/docs/gitbook","label":"PDF","multilingual":false},"multipart":{},"localized-footer":{"filename":"FOOTER.md"},"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/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":"recommend/movielens_fm.md","mtime":"2016-12-02T08:02:42.000Z","type":"markdown"},"gitbook":{"version":"3.2.2","time":"2017-02-02T05:07:49.882Z"},"basePath":"..","book":{"language":""}});
+            gitbook.page.hasChanged({"page":{"title":"Factorization 
Machine","level":"8.3.3","depth":2,"next":{"title":"10-fold Cross Validation 
(Matrix 
Factorization)","level":"8.3.4","depth":2,"path":"recommend/movielens_cv.md","ref":"recommend/movielens_cv.md","articles":[]},"previous":{"title":"Matrix
 
Factorization","level":"8.3.2","depth":2,"path":"recommend/movielens_mf.md","ref":"recommend/movielens_mf.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":{"maxdepth":3,"mindepth":1,"notoc":true},"github":{"url":"https://github.com/apache/incubato
 
r-hivemall/"},"splitter":{},"search":{},"downloadpdf":{"base":"https://github.com/apache/incubator-hivemall/docs/gitbook","label":"PDF","multilingual":false},"multipart":{},"localized-footer":{"filename":"FOOTER.md"},"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/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":"recommend/movielens_fm.md","mtime":"2016-12-02T08:02:42.000Z","type":"markdown"},"gitbook":{"version":"3.2.2","time":"2017-02-23T13:06:39.809Z"},"basePath":"..","book":{"language":""}});
         });
     </script>
 </div>

http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/2d3fdeb2/userguide/recommend/movielens_mf.html
----------------------------------------------------------------------
diff --git a/userguide/recommend/movielens_mf.html 
b/userguide/recommend/movielens_mf.html
index df232a5..4cc429b 100644
--- a/userguide/recommend/movielens_mf.html
+++ b/userguide/recommend/movielens_mf.html
@@ -1579,6 +1579,36 @@
             
         </li>
     
+        <li class="chapter " data-level="9.2" data-path="../anomaly/sst.html">
+            
+                <a href="../anomaly/sst.html">
+            
+                    
+                        <b>9.2.</b>
+                    
+                    Change-Point Detection using Singular Spectrum 
Transformation (SST)
+            
+                </a>
+            
+
+            
+        </li>
+    
+        <li class="chapter " data-level="9.3" 
data-path="../anomaly/changefinder.html">
+            
+                <a href="../anomaly/changefinder.html">
+            
+                    
+                        <b>9.3.</b>
+                    
+                    ChangeFinder: Detecting Outlier and Change-Point 
Simultaneously
+            
+                </a>
+            
+
+            
+        </li>
+    
 
     
         
@@ -1586,13 +1616,85 @@
         
         
     
-        <li class="chapter " data-level="10.1" 
data-path="../spark/misc/misc.html">
+        <li class="chapter " data-level="10.1" 
data-path="../spark/binaryclass/">
             
-                <a href="../spark/misc/misc.html">
+                <a href="../spark/binaryclass/">
             
                     
                         <b>10.1.</b>
                     
+                    Binary Classification
+            
+                </a>
+            
+
+            
+            <ul class="articles">
+                
+    
+        <li class="chapter " data-level="10.1.1" 
data-path="../spark/binaryclass/a9a_df.html">
+            
+                <a href="../spark/binaryclass/a9a_df.html">
+            
+                    
+                        <b>10.1.1.</b>
+                    
+                    a9a Tutorial for DataFrame
+            
+                </a>
+            
+
+            
+        </li>
+    
+
+            </ul>
+            
+        </li>
+    
+        <li class="chapter " data-level="10.2" 
data-path="../spark/binaryclass/">
+            
+                <a href="../spark/binaryclass/">
+            
+                    
+                        <b>10.2.</b>
+                    
+                    Regression
+            
+                </a>
+            
+
+            
+            <ul class="articles">
+                
+    
+        <li class="chapter " data-level="10.2.1" 
data-path="../spark/regression/e2006_df.html">
+            
+                <a href="../spark/regression/e2006_df.html">
+            
+                    
+                        <b>10.2.1.</b>
+                    
+                    E2006-tfidf regression Tutorial for DataFrame
+            
+                </a>
+            
+
+            
+        </li>
+    
+
+            </ul>
+            
+        </li>
+    
+        <li class="chapter " data-level="10.3" 
data-path="../spark/misc/misc.html">
+            
+                <a href="../spark/misc/misc.html">
+            
+                    
+                        <b>10.3.</b>
+                    
                     Generic features
             
                 </a>
@@ -1602,12 +1704,12 @@
             <ul class="articles">
                 
     
-        <li class="chapter " data-level="10.1.1" 
data-path="../spark/misc/topk_join.html">
+        <li class="chapter " data-level="10.3.1" 
data-path="../spark/misc/topk_join.html">
             
                 <a href="../spark/misc/topk_join.html">
             
                     
-                        <b>10.1.1.</b>
+                        <b>10.3.1.</b>
                     
                     Top-k Join processing
             
@@ -1945,7 +2047,7 @@ Apache Hivemall is an effort undergoing incubation at The 
Apache Software Founda
     <script>
         var gitbook = gitbook || [];
         gitbook.push(function() {
-            gitbook.page.hasChanged({"page":{"title":"Matrix 
Factorization","level":"8.3.2","depth":2,"next":{"title":"Factorization 
Machine","level":"8.3.3","depth":2,"path":"recommend/movielens_fm.md","ref":"recommend/movielens_fm.md","articles":[]},"previous":{"title":"Data
 
preparation","level":"8.3.1","depth":2,"path":"recommend/movielens_dataset.md","ref":"recommend/movielens_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":{"maxdepth":3,"mindepth":1,"notoc":true},"github":{"url":"https://github.com/apache/incubator-hivemall/"},"splitt
 
er":{},"search":{},"downloadpdf":{"base":"https://github.com/apache/incubator-hivemall/docs/gitbook","label":"PDF","multilingual":false},"multipart":{},"localized-footer":{"filename":"FOOTER.md"},"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/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":"recommend/movielens_mf.md","mtime":"2016-12-02T08:02:42.000Z","type":"markdown"},"gitbook":{"version":"3.2.2","time":"2017-02-02T05:07:49.882Z"},"basePath":"..","book":{"language":""}});
+            gitbook.page.hasChanged({"page":{"title":"Matrix 
Factorization","level":"8.3.2","depth":2,"next":{"title":"Factorization 
Machine","level":"8.3.3","depth":2,"path":"recommend/movielens_fm.md","ref":"recommend/movielens_fm.md","articles":[]},"previous":{"title":"Data
 
preparation","level":"8.3.1","depth":2,"path":"recommend/movielens_dataset.md","ref":"recommend/movielens_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":{"maxdepth":3,"mindepth":1,"notoc":true},"github":{"url":"https://github.com/apache/incubator-hivemall/"},"splitt
 
er":{},"search":{},"downloadpdf":{"base":"https://github.com/apache/incubator-hivemall/docs/gitbook","label":"PDF","multilingual":false},"multipart":{},"localized-footer":{"filename":"FOOTER.md"},"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/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":"recommend/movielens_mf.md","mtime":"2016-12-02T08:02:42.000Z","type":"markdown"},"gitbook":{"version":"3.2.2","time":"2017-02-23T13:06:39.809Z"},"basePath":"..","book":{"language":""}});
         });
     </script>
 </div>

http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/2d3fdeb2/userguide/recommend/news20.html
----------------------------------------------------------------------
diff --git a/userguide/recommend/news20.html b/userguide/recommend/news20.html
index f1a9e24..873be31 100644
--- a/userguide/recommend/news20.html
+++ b/userguide/recommend/news20.html
@@ -1579,6 +1579,36 @@
             
         </li>
     
+        <li class="chapter " data-level="9.2" data-path="../anomaly/sst.html">
+            
+                <a href="../anomaly/sst.html">
+            
+                    
+                        <b>9.2.</b>
+                    
+                    Change-Point Detection using Singular Spectrum 
Transformation (SST)
+            
+                </a>
+            
+
+            
+        </li>
+    
+        <li class="chapter " data-level="9.3" 
data-path="../anomaly/changefinder.html">
+            
+                <a href="../anomaly/changefinder.html">
+            
+                    
+                        <b>9.3.</b>
+                    
+                    ChangeFinder: Detecting Outlier and Change-Point 
Simultaneously
+            
+                </a>
+            
+
+            
+        </li>
+    
 
     
         
@@ -1586,13 +1616,85 @@
         
         
     
-        <li class="chapter " data-level="10.1" 
data-path="../spark/misc/misc.html">
+        <li class="chapter " data-level="10.1" 
data-path="../spark/binaryclass/">
             
-                <a href="../spark/misc/misc.html">
+                <a href="../spark/binaryclass/">
             
                     
                         <b>10.1.</b>
                     
+                    Binary Classification
+            
+                </a>
+            
+
+            
+            <ul class="articles">
+                
+    
+        <li class="chapter " data-level="10.1.1" 
data-path="../spark/binaryclass/a9a_df.html">
+            
+                <a href="../spark/binaryclass/a9a_df.html">
+            
+                    
+                        <b>10.1.1.</b>
+                    
+                    a9a Tutorial for DataFrame
+            
+                </a>
+            
+
+            
+        </li>
+    
+
+            </ul>
+            
+        </li>
+    
+        <li class="chapter " data-level="10.2" 
data-path="../spark/binaryclass/">
+            
+                <a href="../spark/binaryclass/">
+            
+                    
+                        <b>10.2.</b>
+                    
+                    Regression
+            
+                </a>
+            
+
+            
+            <ul class="articles">
+                
+    
+        <li class="chapter " data-level="10.2.1" 
data-path="../spark/regression/e2006_df.html">
+            
+                <a href="../spark/regression/e2006_df.html">
+            
+                    
+                        <b>10.2.1.</b>
+                    
+                    E2006-tfidf regression Tutorial for DataFrame
+            
+                </a>
+            
+
+            
+        </li>
+    
+
+            </ul>
+            
+        </li>
+    
+        <li class="chapter " data-level="10.3" 
data-path="../spark/misc/misc.html">
+            
+                <a href="../spark/misc/misc.html">
+            
+                    
+                        <b>10.3.</b>
+                    
                     Generic features
             
                 </a>
@@ -1602,12 +1704,12 @@
             <ul class="articles">
                 
     
-        <li class="chapter " data-level="10.1.1" 
data-path="../spark/misc/topk_join.html">
+        <li class="chapter " data-level="10.3.1" 
data-path="../spark/misc/topk_join.html">
             
                 <a href="../spark/misc/topk_join.html">
             
                     
-                        <b>10.1.1.</b>
+                        <b>10.3.1.</b>
                     
                     Top-k Join processing
             
@@ -1777,7 +1879,7 @@ Apache Hivemall is an effort undergoing incubation at The 
Apache Software Founda
     <script>
         var gitbook = gitbook || [];
         gitbook.push(function() {
-            gitbook.page.hasChanged({"page":{"title":"News20 related article 
recommendation Tutorial","level":"8.2","depth":1,"next":{"title":"Data 
preparation","level":"8.2.1","depth":2,"path":"multiclass/news20_dataset.md","ref":"multiclass/news20_dataset.md","articles":[]},"previous":{"title":"Item-based
 Collaborative 
Filtering","level":"8.1.1","depth":2,"path":"recommend/item_based_cf.md","ref":"recommend/item_based_cf.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":{"maxdepth":3,"mindepth":1,"notoc":true},"github":{"url":"https://github.com/a
 
pache/incubator-hivemall/"},"splitter":{},"search":{},"downloadpdf":{"base":"https://github.com/apache/incubator-hivemall/docs/gitbook","label":"PDF","multilingual":false},"multipart":{},"localized-footer":{"filename":"FOOTER.md"},"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/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":"recommend/news20.md","mtime":"2016-12-02T08:02:42.000Z","type":"markdown"},"gitbook":{"version":"3.2.2","time":"2017-02-02T05:07:49.882Z"},"basePath":"..","book":{"language":""}});
+            gitbook.page.hasChanged({"page":{"title":"News20 related article 
recommendation Tutorial","level":"8.2","depth":1,"next":{"title":"Data 
preparation","level":"8.2.1","depth":2,"path":"multiclass/news20_dataset.md","ref":"multiclass/news20_dataset.md","articles":[]},"previous":{"title":"Item-based
 Collaborative 
Filtering","level":"8.1.1","depth":2,"path":"recommend/item_based_cf.md","ref":"recommend/item_based_cf.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":{"maxdepth":3,"mindepth":1,"notoc":true},"github":{"url":"https://github.com/a
 
pache/incubator-hivemall/"},"splitter":{},"search":{},"downloadpdf":{"base":"https://github.com/apache/incubator-hivemall/docs/gitbook","label":"PDF","multilingual":false},"multipart":{},"localized-footer":{"filename":"FOOTER.md"},"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/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":"recommend/news20.md","mtime":"2016-12-02T08:02:42.000Z","type":"markdown"},"gitbook":{"version":"3.2.2","time":"2017-02-23T13:06:39.809Z"},"basePath":"..","book":{"language":""}});
         });
     </script>
 </div>

http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/2d3fdeb2/userguide/recommend/news20_bbit_minhash.html
----------------------------------------------------------------------
diff --git a/userguide/recommend/news20_bbit_minhash.html 
b/userguide/recommend/news20_bbit_minhash.html
index 1679727..2e314eb 100644
--- a/userguide/recommend/news20_bbit_minhash.html
+++ b/userguide/recommend/news20_bbit_minhash.html
@@ -1579,6 +1579,36 @@
             
         </li>
     
+        <li class="chapter " data-level="9.2" data-path="../anomaly/sst.html">
+            
+                <a href="../anomaly/sst.html">
+            
+                    
+                        <b>9.2.</b>
+                    
+                    Change-Point Detection using Singular Spectrum 
Transformation (SST)
+            
+                </a>
+            
+
+            
+        </li>
+    
+        <li class="chapter " data-level="9.3" 
data-path="../anomaly/changefinder.html">
+            
+                <a href="../anomaly/changefinder.html">
+            
+                    
+                        <b>9.3.</b>
+                    
+                    ChangeFinder: Detecting Outlier and Change-Point 
Simultaneously
+            
+                </a>
+            
+
+            
+        </li>
+    
 
     
         
@@ -1586,13 +1616,85 @@
         
         
     
-        <li class="chapter " data-level="10.1" 
data-path="../spark/misc/misc.html">
+        <li class="chapter " data-level="10.1" 
data-path="../spark/binaryclass/">
             
-                <a href="../spark/misc/misc.html">
+                <a href="../spark/binaryclass/">
             
                     
                         <b>10.1.</b>
                     
+                    Binary Classification
+            
+                </a>
+            
+
+            
+            <ul class="articles">
+                
+    
+        <li class="chapter " data-level="10.1.1" 
data-path="../spark/binaryclass/a9a_df.html">
+            
+                <a href="../spark/binaryclass/a9a_df.html">
+            
+                    
+                        <b>10.1.1.</b>
+                    
+                    a9a Tutorial for DataFrame
+            
+                </a>
+            
+
+            
+        </li>
+    
+
+            </ul>
+            
+        </li>
+    
+        <li class="chapter " data-level="10.2" 
data-path="../spark/binaryclass/">
+            
+                <a href="../spark/binaryclass/">
+            
+                    
+                        <b>10.2.</b>
+                    
+                    Regression
+            
+                </a>
+            
+
+            
+            <ul class="articles">
+                
+    
+        <li class="chapter " data-level="10.2.1" 
data-path="../spark/regression/e2006_df.html">
+            
+                <a href="../spark/regression/e2006_df.html">
+            
+                    
+                        <b>10.2.1.</b>
+                    
+                    E2006-tfidf regression Tutorial for DataFrame
+            
+                </a>
+            
+
+            
+        </li>
+    
+
+            </ul>
+            
+        </li>
+    
+        <li class="chapter " data-level="10.3" 
data-path="../spark/misc/misc.html">
+            
+                <a href="../spark/misc/misc.html">
+            
+                    
+                        <b>10.3.</b>
+                    
                     Generic features
             
                 </a>
@@ -1602,12 +1704,12 @@
             <ul class="articles">
                 
     
-        <li class="chapter " data-level="10.1.1" 
data-path="../spark/misc/topk_join.html">
+        <li class="chapter " data-level="10.3.1" 
data-path="../spark/misc/topk_join.html">
             
                 <a href="../spark/misc/topk_join.html">
             
                     
-                        <b>10.1.1.</b>
+                        <b>10.3.1.</b>
                     
                     Top-k Join processing
             
@@ -1867,7 +1969,7 @@ Apache Hivemall is an effort undergoing incubation at The 
Apache Software Founda
     <script>
         var gitbook = gitbook || [];
         gitbook.push(function() {
-            gitbook.page.hasChanged({"page":{"title":"kNN search using b-Bits 
Minhash","level":"8.2.4","depth":2,"next":{"title":"MovieLens movie 
recommendation 
Tutorial","level":"8.3","depth":1,"path":"recommend/movielens.md","ref":"recommend/movielens.md","articles":[{"title":"Data
 
preparation","level":"8.3.1","depth":2,"path":"recommend/movielens_dataset.md","ref":"recommend/movielens_dataset.md","articles":[]},{"title":"Matrix
 
Factorization","level":"8.3.2","depth":2,"path":"recommend/movielens_mf.md","ref":"recommend/movielens_mf.md","articles":[]},{"title":"Factorization
 
Machine","level":"8.3.3","depth":2,"path":"recommend/movielens_fm.md","ref":"recommend/movielens_fm.md","articles":[]},{"title":"10-fold
 Cross Validation (Matrix 
Factorization)","level":"8.3.4","depth":2,"path":"recommend/movielens_cv.md","ref":"recommend/movielens_cv.md","articles":[]}]},"previous":{"title":"LSH/Minhash
 and Brute-Force 
Search","level":"8.2.3","depth":2,"path":"recommend/news20_knn.md","ref":"
 
recommend/news20_knn.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":{"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"},"lunr":{"maxIndexSize":1000000,"ignoreSpecialCharacters":false},"katex":{},"fontsettings":{"theme":"white","family":"sans","size":2,"font":"sans"},"highlight":{},"codeblock-fi
 
lename":{},"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/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":"recommend/news20_bbit_minhash.md","mtime":"2016-12-02T08:02:42.000Z","type":"markdown"},"gitbook":{"version":"3.2.2","time":"2017-02-02T05:07:49.882Z"},"basePath":"..","book":{"language":""}});
+            gitbook.page.hasChanged({"page":{"title":"kNN search using b-Bits 
Minhash","level":"8.2.4","depth":2,"next":{"title":"MovieLens movie 
recommendation 
Tutorial","level":"8.3","depth":1,"path":"recommend/movielens.md","ref":"recommend/movielens.md","articles":[{"title":"Data
 
preparation","level":"8.3.1","depth":2,"path":"recommend/movielens_dataset.md","ref":"recommend/movielens_dataset.md","articles":[]},{"title":"Matrix
 
Factorization","level":"8.3.2","depth":2,"path":"recommend/movielens_mf.md","ref":"recommend/movielens_mf.md","articles":[]},{"title":"Factorization
 
Machine","level":"8.3.3","depth":2,"path":"recommend/movielens_fm.md","ref":"recommend/movielens_fm.md","articles":[]},{"title":"10-fold
 Cross Validation (Matrix 
Factorization)","level":"8.3.4","depth":2,"path":"recommend/movielens_cv.md","ref":"recommend/movielens_cv.md","articles":[]}]},"previous":{"title":"LSH/Minhash
 and Brute-Force 
Search","level":"8.2.3","depth":2,"path":"recommend/news20_knn.md","ref":"
 
recommend/news20_knn.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":{"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"},"lunr":{"maxIndexSize":1000000,"ignoreSpecialCharacters":false},"katex":{},"fontsettings":{"theme":"white","family":"sans","size":2,"font":"sans"},"highlight":{},"codeblock-fi
 
lename":{},"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/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":"recommend/news20_bbit_minhash.md","mtime":"2016-12-02T08:02:42.000Z","type":"markdown"},"gitbook":{"version":"3.2.2","time":"2017-02-23T13:06:39.809Z"},"basePath":"..","book":{"language":""}});
         });
     </script>
 </div>

http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/2d3fdeb2/userguide/recommend/news20_jaccard.html
----------------------------------------------------------------------
diff --git a/userguide/recommend/news20_jaccard.html 
b/userguide/recommend/news20_jaccard.html
index c1ba594..f791df4 100644
--- a/userguide/recommend/news20_jaccard.html
+++ b/userguide/recommend/news20_jaccard.html
@@ -1579,6 +1579,36 @@
             
         </li>
     
+        <li class="chapter " data-level="9.2" data-path="../anomaly/sst.html">
+            
+                <a href="../anomaly/sst.html">
+            
+                    
+                        <b>9.2.</b>
+                    
+                    Change-Point Detection using Singular Spectrum 
Transformation (SST)
+            
+                </a>
+            
+
+            
+        </li>
+    
+        <li class="chapter " data-level="9.3" 
data-path="../anomaly/changefinder.html">
+            
+                <a href="../anomaly/changefinder.html">
+            
+                    
+                        <b>9.3.</b>
+                    
+                    ChangeFinder: Detecting Outlier and Change-Point 
Simultaneously
+            
+                </a>
+            
+
+            
+        </li>
+    
 
     
         
@@ -1586,13 +1616,85 @@
         
         
     
-        <li class="chapter " data-level="10.1" 
data-path="../spark/misc/misc.html">
+        <li class="chapter " data-level="10.1" 
data-path="../spark/binaryclass/">
             
-                <a href="../spark/misc/misc.html">
+                <a href="../spark/binaryclass/">
             
                     
                         <b>10.1.</b>
                     
+                    Binary Classification
+            
+                </a>
+            
+
+            
+            <ul class="articles">
+                
+    
+        <li class="chapter " data-level="10.1.1" 
data-path="../spark/binaryclass/a9a_df.html">
+            
+                <a href="../spark/binaryclass/a9a_df.html">
+            
+                    
+                        <b>10.1.1.</b>
+                    
+                    a9a Tutorial for DataFrame
+            
+                </a>
+            
+
+            
+        </li>
+    
+
+            </ul>
+            
+        </li>
+    
+        <li class="chapter " data-level="10.2" 
data-path="../spark/binaryclass/">
+            
+                <a href="../spark/binaryclass/">
+            
+                    
+                        <b>10.2.</b>
+                    
+                    Regression
+            
+                </a>
+            
+
+            
+            <ul class="articles">
+                
+    
+        <li class="chapter " data-level="10.2.1" 
data-path="../spark/regression/e2006_df.html">
+            
+                <a href="../spark/regression/e2006_df.html">
+            
+                    
+                        <b>10.2.1.</b>
+                    
+                    E2006-tfidf regression Tutorial for DataFrame
+            
+                </a>
+            
+
+            
+        </li>
+    
+
+            </ul>
+            
+        </li>
+    
+        <li class="chapter " data-level="10.3" 
data-path="../spark/misc/misc.html">
+            
+                <a href="../spark/misc/misc.html">
+            
+                    
+                        <b>10.3.</b>
+                    
                     Generic features
             
                 </a>
@@ -1602,12 +1704,12 @@
             <ul class="articles">
                 
     
-        <li class="chapter " data-level="10.1.1" 
data-path="../spark/misc/topk_join.html">
+        <li class="chapter " data-level="10.3.1" 
data-path="../spark/misc/topk_join.html">
             
                 <a href="../spark/misc/topk_join.html">
             
                     
-                        <b>10.1.1.</b>
+                        <b>10.3.1.</b>
                     
                     Top-k Join processing
             
@@ -1888,7 +1990,7 @@ Apache Hivemall is an effort undergoing incubation at The 
Apache Software Founda
     <script>
         var gitbook = gitbook || [];
         gitbook.push(function() {
-            gitbook.page.hasChanged({"page":{"title":"LSH/Minhash and Jaccard 
Similarity","level":"8.2.2","depth":2,"next":{"title":"LSH/Minhash and 
Brute-Force 
Search","level":"8.2.3","depth":2,"path":"recommend/news20_knn.md","ref":"recommend/news20_knn.md","articles":[]},"previous":{"title":"Data
 
preparation","level":"8.2.1","depth":2,"path":"multiclass/news20_dataset.md","ref":"multiclass/news20_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":{"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"},"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/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":{"s
 elector":"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":"recommend/news20_jaccard.md","mtime":"2016-12-02T08:02:42.000Z","type":"markdown"},"gitbook":{"version":"3.2.2","time":"2017-02-02T05:07:49.882Z"},"basePath":"..","book":{"language":""}});
+            gitbook.page.hasChanged({"page":{"title":"LSH/Minhash and Jaccard 
Similarity","level":"8.2.2","depth":2,"next":{"title":"LSH/Minhash and 
Brute-Force 
Search","level":"8.2.3","depth":2,"path":"recommend/news20_knn.md","ref":"recommend/news20_knn.md","articles":[]},"previous":{"title":"Data
 
preparation","level":"8.2.1","depth":2,"path":"multiclass/news20_dataset.md","ref":"multiclass/news20_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":{"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"},"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/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":{"s
 elector":"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":"recommend/news20_jaccard.md","mtime":"2016-12-02T08:02:42.000Z","type":"markdown"},"gitbook":{"version":"3.2.2","time":"2017-02-23T13:06:39.809Z"},"basePath":"..","book":{"language":""}});
         });
     </script>
 </div>

Reply via email to