http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/d9012d92/userguide/getting_started/permanent-functions.html
----------------------------------------------------------------------
diff --git a/userguide/getting_started/permanent-functions.html 
b/userguide/getting_started/permanent-functions.html
index 5992fda..5ad766d 100644
--- a/userguide/getting_started/permanent-functions.html
+++ b/userguide/getting_started/permanent-functions.html
@@ -972,7 +972,7 @@
                     
                         <b>6.2.1.</b>
                     
-                    Data preparation
+                    Data Preparation
             
                 </a>
             
@@ -980,13 +980,28 @@
             
         </li>
     
-        <li class="chapter " data-level="6.2.2" 
data-path="../binaryclass/a9a_lr.html">
+        <li class="chapter " data-level="6.2.2" 
data-path="../binaryclass/a9a_generic.html">
             
-                <a href="../binaryclass/a9a_lr.html">
+                <a href="../binaryclass/a9a_generic.html">
             
                     
                         <b>6.2.2.</b>
                     
+                    General Binary Classifier
+            
+                </a>
+            
+
+            
+        </li>
+    
+        <li class="chapter " data-level="6.2.3" 
data-path="../binaryclass/a9a_lr.html">
+            
+                <a href="../binaryclass/a9a_lr.html">
+            
+                    
+                        <b>6.2.3.</b>
+                    
                     Logistic Regression
             
                 </a>
@@ -995,14 +1010,14 @@
             
         </li>
     
-        <li class="chapter " data-level="6.2.3" 
data-path="../binaryclass/a9a_minibatch.html">
+        <li class="chapter " data-level="6.2.4" 
data-path="../binaryclass/a9a_minibatch.html">
             
                 <a href="../binaryclass/a9a_minibatch.html">
             
                     
-                        <b>6.2.3.</b>
+                        <b>6.2.4.</b>
                     
-                    Mini-batch gradient descent
+                    Mini-batch Gradient Descent
             
                 </a>
             
@@ -1038,7 +1053,7 @@
                     
                         <b>6.3.1.</b>
                     
-                    Data preparation
+                    Data Preparation
             
                 </a>
             
@@ -1076,13 +1091,28 @@
             
         </li>
     
-        <li class="chapter " data-level="6.3.4" 
data-path="../binaryclass/news20_adagrad.html">
+        <li class="chapter " data-level="6.3.4" 
data-path="../binaryclass/news20_generic.html">
             
-                <a href="../binaryclass/news20_adagrad.html">
+                <a href="../binaryclass/news20_generic.html">
             
                     
                         <b>6.3.4.</b>
                     
+                    General Binary Classifier
+            
+                </a>
+            
+
+            
+        </li>
+    
+        <li class="chapter " data-level="6.3.5" 
data-path="../binaryclass/news20_adagrad.html">
+            
+                <a href="../binaryclass/news20_adagrad.html">
+            
+                    
+                        <b>6.3.5.</b>
+                    
                     AdaGradRDA, AdaGrad, AdaDelta
             
                 </a>
@@ -1091,12 +1121,12 @@
             
         </li>
     
-        <li class="chapter " data-level="6.3.5" 
data-path="../binaryclass/news20_rf.html">
+        <li class="chapter " data-level="6.3.6" 
data-path="../binaryclass/news20_rf.html">
             
                 <a href="../binaryclass/news20_rf.html">
             
                     
-                        <b>6.3.5.</b>
+                        <b>6.3.6.</b>
                     
                     Random Forest
             
@@ -1134,7 +1164,7 @@
                     
                         <b>6.4.1.</b>
                     
-                    Data preparation
+                    Data Preparation
             
                 </a>
             
@@ -1185,7 +1215,7 @@
                     
                         <b>6.5.1.</b>
                     
-                    Data preparation
+                    Data Preparation
             
                 </a>
             
@@ -1236,7 +1266,7 @@
                     
                         <b>6.6.1.</b>
                     
-                    Data pareparation
+                    Data Pareparation
             
                 </a>
             
@@ -1302,7 +1332,7 @@
                     
                         <b>6.8.1.</b>
                     
-                    Data preparation
+                    Data Preparation
             
                 </a>
             
@@ -1360,7 +1390,7 @@
                     
                         <b>7.1.1.</b>
                     
-                    Data preparation
+                    Data Preparation
             
                 </a>
             
@@ -1375,7 +1405,7 @@
                     
                         <b>7.1.2.</b>
                     
-                    Data preparation for one-vs-the-rest classifiers
+                    Data Preparation for one-vs-the-rest classifiers
             
                 </a>
             
@@ -1435,7 +1465,7 @@
                     
                         <b>7.1.6.</b>
                     
-                    one-vs-the-rest classifier
+                    one-vs-the-rest Classifier
             
                 </a>
             
@@ -1559,7 +1589,7 @@
                     
                         <b>8.2.1.</b>
                     
-                    Data preparation
+                    Data Preparation
             
                 </a>
             
@@ -1567,13 +1597,28 @@
             
         </li>
     
-        <li class="chapter " data-level="8.2.2" 
data-path="../regression/e2006_arow.html">
+        <li class="chapter " data-level="8.2.2" 
data-path="../regression/e2006_generic.html">
             
-                <a href="../regression/e2006_arow.html">
+                <a href="../regression/e2006_generic.html">
             
                     
                         <b>8.2.2.</b>
                     
+                    General Regessor
+            
+                </a>
+            
+
+            
+        </li>
+    
+        <li class="chapter " data-level="8.2.3" 
data-path="../regression/e2006_arow.html">
+            
+                <a href="../regression/e2006_arow.html">
+            
+                    
+                        <b>8.2.3.</b>
+                    
                     Passive Aggressive, AROW
             
                 </a>
@@ -1610,7 +1655,7 @@
                     
                         <b>8.3.1.</b>
                     
-                    Data preparation
+                    Data Preparation
             
                 </a>
             
@@ -1698,7 +1743,7 @@
                     
                         <b>9.1.1.</b>
                     
-                    Item-based collaborative filtering
+                    Item-based Collaborative Filtering
             
                 </a>
             
@@ -1734,7 +1779,7 @@
                     
                         <b>9.2.1.</b>
                     
-                    Data preparation
+                    Data Preparation
             
                 </a>
             
@@ -1749,7 +1794,7 @@
                     
                         <b>9.2.2.</b>
                     
-                    LSH/MinHash and Jaccard similarity
+                    LSH/MinHash and Jaccard Similarity
             
                 </a>
             
@@ -1764,7 +1809,7 @@
                     
                         <b>9.2.3.</b>
                     
-                    LSH/MinHash and brute-force search
+                    LSH/MinHash and Brute-force Search
             
                 </a>
             
@@ -1815,7 +1860,7 @@
                     
                         <b>9.3.1.</b>
                     
-                    Data preparation
+                    Data Preparation
             
                 </a>
             
@@ -1830,7 +1875,7 @@
                     
                         <b>9.3.2.</b>
                     
-                    Item-based collaborative filtering
+                    Item-based Collaborative Filtering
             
                 </a>
             
@@ -1875,7 +1920,7 @@
                     
                         <b>9.3.5.</b>
                     
-                    SLIM for fast top-k recommendation
+                    SLIM for fast top-k Recommendation
             
                 </a>
             
@@ -1890,7 +1935,7 @@
                     
                         <b>9.3.6.</b>
                     
-                    10-fold cross validation (Matrix Factorization)
+                    10-fold Cross Validation (Matrix Factorization)
             
                 </a>
             
@@ -2080,7 +2125,7 @@
                     
                         <b>13.2.1.</b>
                     
-                    a9a tutorial for DataFrame
+                    a9a Tutorial for DataFrame
             
                 </a>
             
@@ -2095,7 +2140,7 @@
                     
                         <b>13.2.2.</b>
                     
-                    a9a tutorial for SQL
+                    a9a Tutorial for SQL
             
                 </a>
             
@@ -2131,7 +2176,7 @@
                     
                         <b>13.3.1.</b>
                     
-                    E2006-tfidf regression tutorial for DataFrame
+                    E2006-tfidf Regression Tutorial for DataFrame
             
                 </a>
             
@@ -2146,7 +2191,7 @@
                     
                         <b>13.3.2.</b>
                     
-                    E2006-tfidf regression tutorial for SQL
+                    E2006-tfidf Regression Tutorial for SQL
             
                 </a>
             
@@ -2166,7 +2211,7 @@
                     
                         <b>13.4.</b>
                     
-                    Generic features
+                    Generic Features
             
                 </a>
             
@@ -2182,7 +2227,7 @@
                     
                         <b>13.4.1.</b>
                     
-                    Top-k join processing
+                    Top-k Join Processing
             
                 </a>
             
@@ -2197,7 +2242,7 @@
                     
                         <b>13.4.2.</b>
                     
-                    Other utility functions
+                    Other Utility Functions
             
                 </a>
             
@@ -2405,7 +2450,7 @@ Apache Hivemall is an effort undergoing incubation at The 
Apache Software Founda
     <script>
         var gitbook = gitbook || [];
         gitbook.push(function() {
-            gitbook.page.hasChanged({"page":{"title":"Install as permanent 
functions","level":"1.2.2","depth":2,"next":{"title":"Input 
Format","level":"1.2.3","depth":2,"path":"getting_started/input-format.md","ref":"getting_started/input-format.md","articles":[]},"previous":{"title":"Installation","level":"1.2.1","depth":2,"path":"getting_started/installation.md","ref":"getting_started/installation.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/apach
 
e/incubator-hivemall/"},"splitter":{},"search":{},"downloadpdf":{"base":"https://github.com/apache/incubator-hivemall/docs/gitbook","label":"PDF","multilingual":false},"multipart":{},"localized-footer":{"filename":"FOOTER.md","hline":"true"},"lunr":{"maxIndexSize":1000000,"ignoreSpecialCharacters":false},"katex":{},"fontsettings":{"theme":"white","family":"sans","size":2,"font":"sans"},"highlight":{},"codeblock-filename":{},"sitemap":{"hostname":"https://hivemall.incubator.apache.org/"},"theme-api":{"languages":[],"split":false,"theme":"dark"},"sharing":{"facebook":true,"twitter":true,"google":false,"weibo":false,"instapaper":false,"vk":false,"all":["facebook","google","twitter","weibo","instapaper"]},"edit-link":{"label":"Edit","base":"https://github.com/apache/incubator-hivemall/tree/master/docs/gitbook"},"theme-default":{"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/prin
 t.css"},"showLevel":true},"anchorjs":{"selector":"h1,h2,h3,*:not(.callout) > 
h4,h5"},"toggle-chapters":{},"expandable-chapters":{}},"theme":"default","pdf":{"pageNumbers":true,"fontSize":12,"fontFamily":"Arial","paperSize":"a4","chapterMark":"pagebreak","pageBreaksBefore":"/","margin":{"right":62,"left":62,"top":56,"bottom":56}},"structure":{"langs":"LANGS.md","readme":"README.md","glossary":"GLOSSARY.md","summary":"SUMMARY.md"},"variables":{},"title":"Hivemall
 User Manual","links":{"sidebar":{"<i class=\"fa fa-home\"></i> 
Home":"https://hivemall.incubator.apache.org/"}},"gitbook":"3.x.x","description":"User
 Manual for Apache 
Hivemall"},"file":{"path":"getting_started/permanent-functions.md","mtime":"2018-10-18T10:26:56.704Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-11-13T09:32:29.643Z"},"basePath":"..","book":{"language":""}});
+            gitbook.page.hasChanged({"page":{"title":"Install as permanent 
functions","level":"1.2.2","depth":2,"next":{"title":"Input 
Format","level":"1.2.3","depth":2,"path":"getting_started/input-format.md","ref":"getting_started/input-format.md","articles":[]},"previous":{"title":"Installation","level":"1.2.1","depth":2,"path":"getting_started/installation.md","ref":"getting_started/installation.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/apach
 
e/incubator-hivemall/"},"splitter":{},"search":{},"downloadpdf":{"base":"https://github.com/apache/incubator-hivemall/docs/gitbook","label":"PDF","multilingual":false},"multipart":{},"localized-footer":{"filename":"FOOTER.md","hline":"true"},"lunr":{"maxIndexSize":1000000,"ignoreSpecialCharacters":false},"katex":{},"fontsettings":{"theme":"white","family":"sans","size":2,"font":"sans"},"highlight":{},"codeblock-filename":{},"sitemap":{"hostname":"https://hivemall.incubator.apache.org/"},"theme-api":{"languages":[],"split":false,"theme":"dark"},"sharing":{"facebook":true,"twitter":true,"google":false,"weibo":false,"instapaper":false,"vk":false,"all":["facebook","google","twitter","weibo","instapaper"]},"edit-link":{"label":"Edit","base":"https://github.com/apache/incubator-hivemall/tree/master/docs/gitbook"},"theme-default":{"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/prin
 t.css"},"showLevel":true},"anchorjs":{"selector":"h1,h2,h3,*:not(.callout) > 
h4,h5"},"toggle-chapters":{},"expandable-chapters":{}},"theme":"default","pdf":{"pageNumbers":true,"fontSize":12,"fontFamily":"Arial","paperSize":"a4","chapterMark":"pagebreak","pageBreaksBefore":"/","margin":{"right":62,"left":62,"top":56,"bottom":56}},"structure":{"langs":"LANGS.md","readme":"README.md","glossary":"GLOSSARY.md","summary":"SUMMARY.md"},"variables":{},"title":"Hivemall
 User Manual","links":{"sidebar":{"<i class=\"fa fa-home\"></i> 
Home":"https://hivemall.incubator.apache.org/"}},"gitbook":"3.x.x","description":"User
 Manual for Apache 
Hivemall"},"file":{"path":"getting_started/permanent-functions.md","mtime":"2018-10-18T10:26:56.704Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-12-26T10:20:07.153Z"},"basePath":"..","book":{"language":""}});
         });
     </script>
 </div>
@@ -2435,7 +2480,7 @@ Apache Hivemall is an effort undergoing incubation at The 
Apache Software Founda
         
     
         
-        <script 
src="https://cdnjs.cloudflare.com/ajax/libs/anchor-js/4.1.1/anchor.min.js";></script>
+        <script 
src="../gitbook/gitbook-plugin-anchorjs/anchor.min.js"></script>
         
     
         

http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/d9012d92/userguide/gitbook/gitbook-plugin-anchorjs/anchor.min.js
----------------------------------------------------------------------
diff --git a/userguide/gitbook/gitbook-plugin-anchorjs/anchor.min.js 
b/userguide/gitbook/gitbook-plugin-anchorjs/anchor.min.js
new file mode 100644
index 0000000..29a64ac
--- /dev/null
+++ b/userguide/gitbook/gitbook-plugin-anchorjs/anchor.min.js
@@ -0,0 +1,6 @@
+/**
+ * AnchorJS - v4.1.1 - 2018-07-01
+ * https://github.com/bryanbraun/anchorjs
+ * Copyright (c) 2018 Bryan Braun; Licensed MIT
+ */
+!function(A,e){"use strict";"function"==typeof 
define&&define.amd?define([],e):"object"==typeof 
module&&module.exports?module.exports=e():(A.AnchorJS=e(),A.anchors=new 
A.AnchorJS)}(this,function(){"use strict";return function(A){function 
d(A){A.icon=A.hasOwnProperty("icon")?A.icon:"",A.visible=A.hasOwnProperty("visible")?A.visible:"hover",A.placement=A.hasOwnProperty("placement")?A.placement:"right",A.ariaLabel=A.hasOwnProperty("ariaLabel")?A.ariaLabel:"Anchor",A.class=A.hasOwnProperty("class")?A.class:"",A.truncate=A.hasOwnProperty("truncate")?Math.floor(A.truncate):64}function
 f(A){var e;if("string"==typeof A||A instanceof 
String)e=[].slice.call(document.querySelectorAll(A));else{if(!(Array.isArray(A)||A
 instanceof NodeList))throw new Error("The selector provided to AnchorJS was 
invalid.");e=[].slice.call(A)}return 
e}this.options=A||{},this.elements=[],d(this.options),this.isTouchDevice=function(){return!!("ontouchstart"in
 window||window.DocumentTouch&&document instanceof Docum
 entTouch)},this.add=function(A){var 
e,t,i,n,o,s,r,a,c,h,l,u=[];if(d(this.options),"touch"===(l=this.options.visible)&&(l=this.isTouchDevice()?"always":"hover"),A||(A="h2,
 h3, h4, h5, h6"),0===(e=f(A)).length)return 
this;for(function(){if(null===document.head.querySelector("style.anchorjs")){var
 
A,e=document.createElement("style");e.className="anchorjs",e.appendChild(document.createTextNode("")),void
 0===(A=document.head.querySelector('[rel="stylesheet"], 
style'))?document.head.appendChild(e):document.head.insertBefore(e,A),e.sheet.insertRule("
 .anchorjs-link {   opacity: 0;   text-decoration: none;   
-webkit-font-smoothing: antialiased;   -moz-osx-font-smoothing: grayscale; 
}",e.sheet.cssRules.length),e.sheet.insertRule(" *:hover > .anchorjs-link, 
.anchorjs-link:focus  {   opacity: 1; 
}",e.sheet.cssRules.length),e.sheet.insertRule(" [data-anchorjs-icon]::after {  
 content: attr(data-anchorjs-icon); 
}",e.sheet.cssRules.length),e.sheet.insertRule(' @font-face {   font-family: 
"anchorj
 s-icons";   src: 
url(data:n/a;base64,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
 
DQ0NDXoaShoKGwoFBe8XFi6ALjgJCQobCjgaShoNDQ0NehpKGgobCgoKLYEuehYXAAAADACWAAEAAAAAAAEACAAAAAEAAAAAAAIAAwAIAAEAAAAAAAMACAAAAAEAAAAAAAQACAAAAAEAAAAAAAUAAQALAAEAAAAAAAYACAAAAAMAAQQJAAEAEAAMAAMAAQQJAAIABgAcAAMAAQQJAAMAEAAMAAMAAQQJAAQAEAAMAAMAAQQJAAUAAgAiAAMAAQQJAAYAEAAMYW5jaG9yanM0MDBAAGEAbgBjAGgAbwByAGoAcwA0ADAAMABAAAAAAwAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABAAH//wAP)
 format("truetype"); 
}',e.sheet.cssRules.length)}}(),t=document.querySelectorAll("[id]"),i=[].map.call(t,function(A){return
 
A.id}),o=0;o<e.length;o++)if(this.hasAnchorJSLink(e[o]))u.push(o);else{if(e[o].hasAttribute("id"))n=e[o].getAttribute("id");else
 
if(e[o].hasAttribute("data-anchor-id"))n=e[o].getAttribute("data-anchor-id");else{for(c=a=this.urlify(e[o].textContent),r=0;void
 0!==s&&(c=a+"-"+r),r+=1,-1!==(s=i.indexOf(c)););s=void 
0,i.push(c),e[o].setAttribute("id",c),n=c}n.replace(/-/g," 
"),(h=document.createElement("a")).className="anchorjs-link 
"+this.options.class,h.href="#"+n,h.setAttribute("aria-label",this.optio
 
ns.ariaLabel),h.setAttribute("data-anchorjs-icon",this.options.icon),"always"===l&&(h.style.opacity="1"),""===this.options.icon&&(h.style.font="1em/1
 
anchorjs-icons","left"===this.options.placement&&(h.style.lineHeight="inherit")),"left"===this.options.placement?(h.style.position="absolute",h.style.marginLeft="-1em",h.style.paddingRight="0.5em",e[o].insertBefore(h,e[o].firstChild)):(h.style.paddingLeft="0.375em",e[o].appendChild(h))}for(o=0;o<u.length;o++)e.splice(u[o]-o,1);return
 this.elements=this.elements.concat(e),this},this.remove=function(A){for(var 
e,t,i=f(A),n=0;n<i.length;n++)(t=i[n].querySelector(".anchorjs-link"))&&(-1!==(e=this.elements.indexOf(i[n]))&&this.elements.splice(e,1),i[n].removeChild(t));return
 
this},this.removeAll=function(){this.remove(this.elements)},this.urlify=function(A){return
 this.options.truncate||d(this.options),A.trim().replace(/\'/gi,"").replace(/[& 
+$,:;=?@"#{}|^~[`%!'<>\]\.\/\(\)\*\\\n\t\b\v]/g,"-").replace(/-{2,}/g,"-").substring(0,this.optio
 
ns.truncate).replace(/^-+|-+$/gm,"").toLowerCase()},this.hasAnchorJSLink=function(A){var
 e=A.firstChild&&-1<(" "+A.firstChild.className+" ").indexOf(" anchorjs-link 
"),t=A.lastChild&&-1<(" "+A.lastChild.className+" ").indexOf(" anchorjs-link 
");return e||t||!1}}});
\ No newline at end of file

http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/d9012d92/userguide/index.html
----------------------------------------------------------------------
diff --git a/userguide/index.html b/userguide/index.html
index 491c68d..268b3fd 100644
--- a/userguide/index.html
+++ b/userguide/index.html
@@ -970,7 +970,7 @@
                     
                         <b>6.2.1.</b>
                     
-                    Data preparation
+                    Data Preparation
             
                 </a>
             
@@ -978,13 +978,28 @@
             
         </li>
     
-        <li class="chapter " data-level="6.2.2" 
data-path="binaryclass/a9a_lr.html">
+        <li class="chapter " data-level="6.2.2" 
data-path="binaryclass/a9a_generic.html">
             
-                <a href="binaryclass/a9a_lr.html">
+                <a href="binaryclass/a9a_generic.html">
             
                     
                         <b>6.2.2.</b>
                     
+                    General Binary Classifier
+            
+                </a>
+            
+
+            
+        </li>
+    
+        <li class="chapter " data-level="6.2.3" 
data-path="binaryclass/a9a_lr.html">
+            
+                <a href="binaryclass/a9a_lr.html">
+            
+                    
+                        <b>6.2.3.</b>
+                    
                     Logistic Regression
             
                 </a>
@@ -993,14 +1008,14 @@
             
         </li>
     
-        <li class="chapter " data-level="6.2.3" 
data-path="binaryclass/a9a_minibatch.html">
+        <li class="chapter " data-level="6.2.4" 
data-path="binaryclass/a9a_minibatch.html">
             
                 <a href="binaryclass/a9a_minibatch.html">
             
                     
-                        <b>6.2.3.</b>
+                        <b>6.2.4.</b>
                     
-                    Mini-batch gradient descent
+                    Mini-batch Gradient Descent
             
                 </a>
             
@@ -1036,7 +1051,7 @@
                     
                         <b>6.3.1.</b>
                     
-                    Data preparation
+                    Data Preparation
             
                 </a>
             
@@ -1074,13 +1089,28 @@
             
         </li>
     
-        <li class="chapter " data-level="6.3.4" 
data-path="binaryclass/news20_adagrad.html">
+        <li class="chapter " data-level="6.3.4" 
data-path="binaryclass/news20_generic.html">
             
-                <a href="binaryclass/news20_adagrad.html">
+                <a href="binaryclass/news20_generic.html">
             
                     
                         <b>6.3.4.</b>
                     
+                    General Binary Classifier
+            
+                </a>
+            
+
+            
+        </li>
+    
+        <li class="chapter " data-level="6.3.5" 
data-path="binaryclass/news20_adagrad.html">
+            
+                <a href="binaryclass/news20_adagrad.html">
+            
+                    
+                        <b>6.3.5.</b>
+                    
                     AdaGradRDA, AdaGrad, AdaDelta
             
                 </a>
@@ -1089,12 +1119,12 @@
             
         </li>
     
-        <li class="chapter " data-level="6.3.5" 
data-path="binaryclass/news20_rf.html">
+        <li class="chapter " data-level="6.3.6" 
data-path="binaryclass/news20_rf.html">
             
                 <a href="binaryclass/news20_rf.html">
             
                     
-                        <b>6.3.5.</b>
+                        <b>6.3.6.</b>
                     
                     Random Forest
             
@@ -1132,7 +1162,7 @@
                     
                         <b>6.4.1.</b>
                     
-                    Data preparation
+                    Data Preparation
             
                 </a>
             
@@ -1183,7 +1213,7 @@
                     
                         <b>6.5.1.</b>
                     
-                    Data preparation
+                    Data Preparation
             
                 </a>
             
@@ -1234,7 +1264,7 @@
                     
                         <b>6.6.1.</b>
                     
-                    Data pareparation
+                    Data Pareparation
             
                 </a>
             
@@ -1300,7 +1330,7 @@
                     
                         <b>6.8.1.</b>
                     
-                    Data preparation
+                    Data Preparation
             
                 </a>
             
@@ -1358,7 +1388,7 @@
                     
                         <b>7.1.1.</b>
                     
-                    Data preparation
+                    Data Preparation
             
                 </a>
             
@@ -1373,7 +1403,7 @@
                     
                         <b>7.1.2.</b>
                     
-                    Data preparation for one-vs-the-rest classifiers
+                    Data Preparation for one-vs-the-rest classifiers
             
                 </a>
             
@@ -1433,7 +1463,7 @@
                     
                         <b>7.1.6.</b>
                     
-                    one-vs-the-rest classifier
+                    one-vs-the-rest Classifier
             
                 </a>
             
@@ -1557,7 +1587,7 @@
                     
                         <b>8.2.1.</b>
                     
-                    Data preparation
+                    Data Preparation
             
                 </a>
             
@@ -1565,13 +1595,28 @@
             
         </li>
     
-        <li class="chapter " data-level="8.2.2" 
data-path="regression/e2006_arow.html">
+        <li class="chapter " data-level="8.2.2" 
data-path="regression/e2006_generic.html">
             
-                <a href="regression/e2006_arow.html">
+                <a href="regression/e2006_generic.html">
             
                     
                         <b>8.2.2.</b>
                     
+                    General Regessor
+            
+                </a>
+            
+
+            
+        </li>
+    
+        <li class="chapter " data-level="8.2.3" 
data-path="regression/e2006_arow.html">
+            
+                <a href="regression/e2006_arow.html">
+            
+                    
+                        <b>8.2.3.</b>
+                    
                     Passive Aggressive, AROW
             
                 </a>
@@ -1608,7 +1653,7 @@
                     
                         <b>8.3.1.</b>
                     
-                    Data preparation
+                    Data Preparation
             
                 </a>
             
@@ -1696,7 +1741,7 @@
                     
                         <b>9.1.1.</b>
                     
-                    Item-based collaborative filtering
+                    Item-based Collaborative Filtering
             
                 </a>
             
@@ -1732,7 +1777,7 @@
                     
                         <b>9.2.1.</b>
                     
-                    Data preparation
+                    Data Preparation
             
                 </a>
             
@@ -1747,7 +1792,7 @@
                     
                         <b>9.2.2.</b>
                     
-                    LSH/MinHash and Jaccard similarity
+                    LSH/MinHash and Jaccard Similarity
             
                 </a>
             
@@ -1762,7 +1807,7 @@
                     
                         <b>9.2.3.</b>
                     
-                    LSH/MinHash and brute-force search
+                    LSH/MinHash and Brute-force Search
             
                 </a>
             
@@ -1813,7 +1858,7 @@
                     
                         <b>9.3.1.</b>
                     
-                    Data preparation
+                    Data Preparation
             
                 </a>
             
@@ -1828,7 +1873,7 @@
                     
                         <b>9.3.2.</b>
                     
-                    Item-based collaborative filtering
+                    Item-based Collaborative Filtering
             
                 </a>
             
@@ -1873,7 +1918,7 @@
                     
                         <b>9.3.5.</b>
                     
-                    SLIM for fast top-k recommendation
+                    SLIM for fast top-k Recommendation
             
                 </a>
             
@@ -1888,7 +1933,7 @@
                     
                         <b>9.3.6.</b>
                     
-                    10-fold cross validation (Matrix Factorization)
+                    10-fold Cross Validation (Matrix Factorization)
             
                 </a>
             
@@ -2078,7 +2123,7 @@
                     
                         <b>13.2.1.</b>
                     
-                    a9a tutorial for DataFrame
+                    a9a Tutorial for DataFrame
             
                 </a>
             
@@ -2093,7 +2138,7 @@
                     
                         <b>13.2.2.</b>
                     
-                    a9a tutorial for SQL
+                    a9a Tutorial for SQL
             
                 </a>
             
@@ -2129,7 +2174,7 @@
                     
                         <b>13.3.1.</b>
                     
-                    E2006-tfidf regression tutorial for DataFrame
+                    E2006-tfidf Regression Tutorial for DataFrame
             
                 </a>
             
@@ -2144,7 +2189,7 @@
                     
                         <b>13.3.2.</b>
                     
-                    E2006-tfidf regression tutorial for SQL
+                    E2006-tfidf Regression Tutorial for SQL
             
                 </a>
             
@@ -2164,7 +2209,7 @@
                     
                         <b>13.4.</b>
                     
-                    Generic features
+                    Generic Features
             
                 </a>
             
@@ -2180,7 +2225,7 @@
                     
                         <b>13.4.1.</b>
                     
-                    Top-k join processing
+                    Top-k Join Processing
             
                 </a>
             
@@ -2195,7 +2240,7 @@
                     
                         <b>13.4.2.</b>
                     
-                    Other utility functions
+                    Other Utility Functions
             
                 </a>
             
@@ -2383,7 +2428,7 @@ Apache Hivemall is an effort undergoing incubation at The 
Apache Software Founda
     <script>
         var gitbook = gitbook || [];
         gitbook.push(function() {
-            
gitbook.page.hasChanged({"page":{"title":"Introduction","level":"1.1","depth":1,"next":{"title":"Getting
 
Started","level":"1.2","depth":1,"path":"getting_started/README.md","ref":"getting_started/README.md","articles":[{"title":"Installation","level":"1.2.1","depth":2,"path":"getting_started/installation.md","ref":"getting_started/installation.md","articles":[]},{"title":"Install
 as permanent 
functions","level":"1.2.2","depth":2,"path":"getting_started/permanent-functions.md","ref":"getting_started/permanent-functions.md","articles":[]},{"title":"Input
 
Format","level":"1.2.3","depth":2,"path":"getting_started/input-format.md","ref":"getting_started/input-format.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","p
 
df":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"pluginsConfig":{"emphasize":{},"callouts":{},"etoc":{"h2lb":3,"header":1,"maxdepth":3,"mindepth":1,"notoc":true},"github":{"url":"https://github.com/apache/incubator-hivemall/"},"splitter":{},"search":{},"downloadpdf":{"base":"https://github.com/apache/incubator-hivemall/docs/gitbook","label":"PDF","multilingual":false},"multipart":{},"localized-footer":{"filename":"FOOTER.md","hline":"true"},"lunr":{"maxIndexSize":1000000,"ignoreSpecialCharacters":false},"katex":{},"fontsettings":{"theme":"white","family":"sans","size":2,"font":"sans"},"highlight":{},"codeblock-filename":{},"sitemap":{"hostname":"https://hivemall.incubator.apache.org/"},"theme-api":{"languages":[],"split":false,"theme":"dark"},"sharing":{"facebook":true,"twitter":true,"google":false,"weibo":false,"instapaper":false,"vk":false,"all":["facebook","google","twitter","weibo","instapaper"]},"edit
 
-link":{"label":"Edit","base":"https://github.com/apache/incubator-hivemall/tree/master/docs/gitbook"},"theme-default":{"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"showLevel":true},"anchorjs":{"selector":"h1,h2,h3,*:not(.callout)
 > 
h4,h5"},"toggle-chapters":{},"expandable-chapters":{}},"theme":"default","pdf":{"pageNumbers":true,"fontSize":12,"fontFamily":"Arial","paperSize":"a4","chapterMark":"pagebreak","pageBreaksBefore":"/","margin":{"right":62,"left":62,"top":56,"bottom":56}},"structure":{"langs":"LANGS.md","readme":"README.md","glossary":"GLOSSARY.md","summary":"SUMMARY.md"},"variables":{},"title":"Hivemall
 User Manual","links":{"sidebar":{"<i class=\"fa fa-home\"></i> 
Home":"https://hivemall.incubator.apache.org/"}},"gitbook":"3.x.x","description":"User
 Manual for Apache 
Hivemall"},"file":{"path":"README.md","mtime":"2018-11-02T10:33:52.931Z","type":"m
 
arkdown"},"gitbook":{"version":"3.2.3","time":"2018-11-13T09:32:29.643Z"},"basePath":".","book":{"language":""}});
+            
gitbook.page.hasChanged({"page":{"title":"Introduction","level":"1.1","depth":1,"next":{"title":"Getting
 
Started","level":"1.2","depth":1,"path":"getting_started/README.md","ref":"getting_started/README.md","articles":[{"title":"Installation","level":"1.2.1","depth":2,"path":"getting_started/installation.md","ref":"getting_started/installation.md","articles":[]},{"title":"Install
 as permanent 
functions","level":"1.2.2","depth":2,"path":"getting_started/permanent-functions.md","ref":"getting_started/permanent-functions.md","articles":[]},{"title":"Input
 
Format","level":"1.2.3","depth":2,"path":"getting_started/input-format.md","ref":"getting_started/input-format.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","p
 
df":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"pluginsConfig":{"emphasize":{},"callouts":{},"etoc":{"h2lb":3,"header":1,"maxdepth":3,"mindepth":1,"notoc":true},"github":{"url":"https://github.com/apache/incubator-hivemall/"},"splitter":{},"search":{},"downloadpdf":{"base":"https://github.com/apache/incubator-hivemall/docs/gitbook","label":"PDF","multilingual":false},"multipart":{},"localized-footer":{"filename":"FOOTER.md","hline":"true"},"lunr":{"maxIndexSize":1000000,"ignoreSpecialCharacters":false},"katex":{},"fontsettings":{"theme":"white","family":"sans","size":2,"font":"sans"},"highlight":{},"codeblock-filename":{},"sitemap":{"hostname":"https://hivemall.incubator.apache.org/"},"theme-api":{"languages":[],"split":false,"theme":"dark"},"sharing":{"facebook":true,"twitter":true,"google":false,"weibo":false,"instapaper":false,"vk":false,"all":["facebook","google","twitter","weibo","instapaper"]},"edit
 
-link":{"label":"Edit","base":"https://github.com/apache/incubator-hivemall/tree/master/docs/gitbook"},"theme-default":{"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"showLevel":true},"anchorjs":{"selector":"h1,h2,h3,*:not(.callout)
 > 
h4,h5"},"toggle-chapters":{},"expandable-chapters":{}},"theme":"default","pdf":{"pageNumbers":true,"fontSize":12,"fontFamily":"Arial","paperSize":"a4","chapterMark":"pagebreak","pageBreaksBefore":"/","margin":{"right":62,"left":62,"top":56,"bottom":56}},"structure":{"langs":"LANGS.md","readme":"README.md","glossary":"GLOSSARY.md","summary":"SUMMARY.md"},"variables":{},"title":"Hivemall
 User Manual","links":{"sidebar":{"<i class=\"fa fa-home\"></i> 
Home":"https://hivemall.incubator.apache.org/"}},"gitbook":"3.x.x","description":"User
 Manual for Apache 
Hivemall"},"file":{"path":"README.md","mtime":"2018-12-25T07:50:37.527Z","type":"m
 
arkdown"},"gitbook":{"version":"3.2.3","time":"2018-12-26T10:20:07.153Z"},"basePath":".","book":{"language":""}});
         });
     </script>
 </div>
@@ -2413,7 +2458,7 @@ Apache Hivemall is an effort undergoing incubation at The 
Apache Software Founda
         
     
         
-        <script 
src="https://cdnjs.cloudflare.com/ajax/libs/anchor-js/4.1.1/anchor.min.js";></script>
+        <script src="gitbook/gitbook-plugin-anchorjs/anchor.min.js"></script>
         
     
         

http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/d9012d92/userguide/misc/approx.html
----------------------------------------------------------------------
diff --git a/userguide/misc/approx.html b/userguide/misc/approx.html
index 2d78dd3..5f45949 100644
--- a/userguide/misc/approx.html
+++ b/userguide/misc/approx.html
@@ -972,7 +972,7 @@
                     
                         <b>6.2.1.</b>
                     
-                    Data preparation
+                    Data Preparation
             
                 </a>
             
@@ -980,13 +980,28 @@
             
         </li>
     
-        <li class="chapter " data-level="6.2.2" 
data-path="../binaryclass/a9a_lr.html">
+        <li class="chapter " data-level="6.2.2" 
data-path="../binaryclass/a9a_generic.html">
             
-                <a href="../binaryclass/a9a_lr.html">
+                <a href="../binaryclass/a9a_generic.html">
             
                     
                         <b>6.2.2.</b>
                     
+                    General Binary Classifier
+            
+                </a>
+            
+
+            
+        </li>
+    
+        <li class="chapter " data-level="6.2.3" 
data-path="../binaryclass/a9a_lr.html">
+            
+                <a href="../binaryclass/a9a_lr.html">
+            
+                    
+                        <b>6.2.3.</b>
+                    
                     Logistic Regression
             
                 </a>
@@ -995,14 +1010,14 @@
             
         </li>
     
-        <li class="chapter " data-level="6.2.3" 
data-path="../binaryclass/a9a_minibatch.html">
+        <li class="chapter " data-level="6.2.4" 
data-path="../binaryclass/a9a_minibatch.html">
             
                 <a href="../binaryclass/a9a_minibatch.html">
             
                     
-                        <b>6.2.3.</b>
+                        <b>6.2.4.</b>
                     
-                    Mini-batch gradient descent
+                    Mini-batch Gradient Descent
             
                 </a>
             
@@ -1038,7 +1053,7 @@
                     
                         <b>6.3.1.</b>
                     
-                    Data preparation
+                    Data Preparation
             
                 </a>
             
@@ -1076,13 +1091,28 @@
             
         </li>
     
-        <li class="chapter " data-level="6.3.4" 
data-path="../binaryclass/news20_adagrad.html">
+        <li class="chapter " data-level="6.3.4" 
data-path="../binaryclass/news20_generic.html">
             
-                <a href="../binaryclass/news20_adagrad.html">
+                <a href="../binaryclass/news20_generic.html">
             
                     
                         <b>6.3.4.</b>
                     
+                    General Binary Classifier
+            
+                </a>
+            
+
+            
+        </li>
+    
+        <li class="chapter " data-level="6.3.5" 
data-path="../binaryclass/news20_adagrad.html">
+            
+                <a href="../binaryclass/news20_adagrad.html">
+            
+                    
+                        <b>6.3.5.</b>
+                    
                     AdaGradRDA, AdaGrad, AdaDelta
             
                 </a>
@@ -1091,12 +1121,12 @@
             
         </li>
     
-        <li class="chapter " data-level="6.3.5" 
data-path="../binaryclass/news20_rf.html">
+        <li class="chapter " data-level="6.3.6" 
data-path="../binaryclass/news20_rf.html">
             
                 <a href="../binaryclass/news20_rf.html">
             
                     
-                        <b>6.3.5.</b>
+                        <b>6.3.6.</b>
                     
                     Random Forest
             
@@ -1134,7 +1164,7 @@
                     
                         <b>6.4.1.</b>
                     
-                    Data preparation
+                    Data Preparation
             
                 </a>
             
@@ -1185,7 +1215,7 @@
                     
                         <b>6.5.1.</b>
                     
-                    Data preparation
+                    Data Preparation
             
                 </a>
             
@@ -1236,7 +1266,7 @@
                     
                         <b>6.6.1.</b>
                     
-                    Data pareparation
+                    Data Pareparation
             
                 </a>
             
@@ -1302,7 +1332,7 @@
                     
                         <b>6.8.1.</b>
                     
-                    Data preparation
+                    Data Preparation
             
                 </a>
             
@@ -1360,7 +1390,7 @@
                     
                         <b>7.1.1.</b>
                     
-                    Data preparation
+                    Data Preparation
             
                 </a>
             
@@ -1375,7 +1405,7 @@
                     
                         <b>7.1.2.</b>
                     
-                    Data preparation for one-vs-the-rest classifiers
+                    Data Preparation for one-vs-the-rest classifiers
             
                 </a>
             
@@ -1435,7 +1465,7 @@
                     
                         <b>7.1.6.</b>
                     
-                    one-vs-the-rest classifier
+                    one-vs-the-rest Classifier
             
                 </a>
             
@@ -1559,7 +1589,7 @@
                     
                         <b>8.2.1.</b>
                     
-                    Data preparation
+                    Data Preparation
             
                 </a>
             
@@ -1567,13 +1597,28 @@
             
         </li>
     
-        <li class="chapter " data-level="8.2.2" 
data-path="../regression/e2006_arow.html">
+        <li class="chapter " data-level="8.2.2" 
data-path="../regression/e2006_generic.html">
             
-                <a href="../regression/e2006_arow.html">
+                <a href="../regression/e2006_generic.html">
             
                     
                         <b>8.2.2.</b>
                     
+                    General Regessor
+            
+                </a>
+            
+
+            
+        </li>
+    
+        <li class="chapter " data-level="8.2.3" 
data-path="../regression/e2006_arow.html">
+            
+                <a href="../regression/e2006_arow.html">
+            
+                    
+                        <b>8.2.3.</b>
+                    
                     Passive Aggressive, AROW
             
                 </a>
@@ -1610,7 +1655,7 @@
                     
                         <b>8.3.1.</b>
                     
-                    Data preparation
+                    Data Preparation
             
                 </a>
             
@@ -1698,7 +1743,7 @@
                     
                         <b>9.1.1.</b>
                     
-                    Item-based collaborative filtering
+                    Item-based Collaborative Filtering
             
                 </a>
             
@@ -1734,7 +1779,7 @@
                     
                         <b>9.2.1.</b>
                     
-                    Data preparation
+                    Data Preparation
             
                 </a>
             
@@ -1749,7 +1794,7 @@
                     
                         <b>9.2.2.</b>
                     
-                    LSH/MinHash and Jaccard similarity
+                    LSH/MinHash and Jaccard Similarity
             
                 </a>
             
@@ -1764,7 +1809,7 @@
                     
                         <b>9.2.3.</b>
                     
-                    LSH/MinHash and brute-force search
+                    LSH/MinHash and Brute-force Search
             
                 </a>
             
@@ -1815,7 +1860,7 @@
                     
                         <b>9.3.1.</b>
                     
-                    Data preparation
+                    Data Preparation
             
                 </a>
             
@@ -1830,7 +1875,7 @@
                     
                         <b>9.3.2.</b>
                     
-                    Item-based collaborative filtering
+                    Item-based Collaborative Filtering
             
                 </a>
             
@@ -1875,7 +1920,7 @@
                     
                         <b>9.3.5.</b>
                     
-                    SLIM for fast top-k recommendation
+                    SLIM for fast top-k Recommendation
             
                 </a>
             
@@ -1890,7 +1935,7 @@
                     
                         <b>9.3.6.</b>
                     
-                    10-fold cross validation (Matrix Factorization)
+                    10-fold Cross Validation (Matrix Factorization)
             
                 </a>
             
@@ -2080,7 +2125,7 @@
                     
                         <b>13.2.1.</b>
                     
-                    a9a tutorial for DataFrame
+                    a9a Tutorial for DataFrame
             
                 </a>
             
@@ -2095,7 +2140,7 @@
                     
                         <b>13.2.2.</b>
                     
-                    a9a tutorial for SQL
+                    a9a Tutorial for SQL
             
                 </a>
             
@@ -2131,7 +2176,7 @@
                     
                         <b>13.3.1.</b>
                     
-                    E2006-tfidf regression tutorial for DataFrame
+                    E2006-tfidf Regression Tutorial for DataFrame
             
                 </a>
             
@@ -2146,7 +2191,7 @@
                     
                         <b>13.3.2.</b>
                     
-                    E2006-tfidf regression tutorial for SQL
+                    E2006-tfidf Regression Tutorial for SQL
             
                 </a>
             
@@ -2166,7 +2211,7 @@
                     
                         <b>13.4.</b>
                     
-                    Generic features
+                    Generic Features
             
                 </a>
             
@@ -2182,7 +2227,7 @@
                     
                         <b>13.4.1.</b>
                     
-                    Top-k join processing
+                    Top-k Join Processing
             
                 </a>
             
@@ -2197,7 +2242,7 @@
                     
                         <b>13.4.2.</b>
                     
-                    Other utility functions
+                    Other Utility Functions
             
                 </a>
             
@@ -2461,7 +2506,7 @@ Apache Hivemall is an effort undergoing incubation at The 
Apache Software Founda
     <script>
         var gitbook = gitbook || [];
         gitbook.push(function() {
-            gitbook.page.hasChanged({"page":{"title":"Approximate Aggregate 
Functions","level":"2.4","depth":1,"next":{"title":"Feature 
Scaling","level":"3.1","depth":1,"path":"ft_engineering/scaling.md","ref":"ft_engineering/scaling.md","articles":[]},"previous":{"title":"Text
 
Tokenizer","level":"2.3","depth":1,"path":"misc/tokenizer.md","ref":"misc/tokenizer.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":{},"s
 
earch":{},"downloadpdf":{"base":"https://github.com/apache/incubator-hivemall/docs/gitbook","label":"PDF","multilingual":false},"multipart":{},"localized-footer":{"filename":"FOOTER.md","hline":"true"},"lunr":{"maxIndexSize":1000000,"ignoreSpecialCharacters":false},"katex":{},"fontsettings":{"theme":"white","family":"sans","size":2,"font":"sans"},"highlight":{},"codeblock-filename":{},"sitemap":{"hostname":"https://hivemall.incubator.apache.org/"},"theme-api":{"languages":[],"split":false,"theme":"dark"},"sharing":{"facebook":true,"twitter":true,"google":false,"weibo":false,"instapaper":false,"vk":false,"all":["facebook","google","twitter","weibo","instapaper"]},"edit-link":{"label":"Edit","base":"https://github.com/apache/incubator-hivemall/tree/master/docs/gitbook"},"theme-default":{"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"showLevel":true},"anchorjs":{"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":"https://hivemall.incubator.apache.org/"}},"gitbook":"3.x.x","description":"User
 Manual for Apache 
Hivemall"},"file":{"path":"misc/approx.md","mtime":"2018-11-02T10:33:52.958Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-11-13T09:32:29.643Z"},"basePath":"..","book":{"language":""}});
+            gitbook.page.hasChanged({"page":{"title":"Approximate Aggregate 
Functions","level":"2.4","depth":1,"next":{"title":"Feature 
Scaling","level":"3.1","depth":1,"path":"ft_engineering/scaling.md","ref":"ft_engineering/scaling.md","articles":[]},"previous":{"title":"Text
 
Tokenizer","level":"2.3","depth":1,"path":"misc/tokenizer.md","ref":"misc/tokenizer.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":{},"s
 
earch":{},"downloadpdf":{"base":"https://github.com/apache/incubator-hivemall/docs/gitbook","label":"PDF","multilingual":false},"multipart":{},"localized-footer":{"filename":"FOOTER.md","hline":"true"},"lunr":{"maxIndexSize":1000000,"ignoreSpecialCharacters":false},"katex":{},"fontsettings":{"theme":"white","family":"sans","size":2,"font":"sans"},"highlight":{},"codeblock-filename":{},"sitemap":{"hostname":"https://hivemall.incubator.apache.org/"},"theme-api":{"languages":[],"split":false,"theme":"dark"},"sharing":{"facebook":true,"twitter":true,"google":false,"weibo":false,"instapaper":false,"vk":false,"all":["facebook","google","twitter","weibo","instapaper"]},"edit-link":{"label":"Edit","base":"https://github.com/apache/incubator-hivemall/tree/master/docs/gitbook"},"theme-default":{"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"showLevel":true},"anchorjs":{"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":"https://hivemall.incubator.apache.org/"}},"gitbook":"3.x.x","description":"User
 Manual for Apache 
Hivemall"},"file":{"path":"misc/approx.md","mtime":"2018-12-25T07:50:37.541Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-12-26T10:20:07.153Z"},"basePath":"..","book":{"language":""}});
         });
     </script>
 </div>
@@ -2491,7 +2536,7 @@ Apache Hivemall is an effort undergoing incubation at The 
Apache Software Founda
         
     
         
-        <script 
src="https://cdnjs.cloudflare.com/ajax/libs/anchor-js/4.1.1/anchor.min.js";></script>
+        <script 
src="../gitbook/gitbook-plugin-anchorjs/anchor.min.js"></script>
         
     
         

http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/d9012d92/userguide/misc/funcs.html
----------------------------------------------------------------------
diff --git a/userguide/misc/funcs.html b/userguide/misc/funcs.html
index 4417bf9..45bddf4 100644
--- a/userguide/misc/funcs.html
+++ b/userguide/misc/funcs.html
@@ -972,7 +972,7 @@
                     
                         <b>6.2.1.</b>
                     
-                    Data preparation
+                    Data Preparation
             
                 </a>
             
@@ -980,13 +980,28 @@
             
         </li>
     
-        <li class="chapter " data-level="6.2.2" 
data-path="../binaryclass/a9a_lr.html">
+        <li class="chapter " data-level="6.2.2" 
data-path="../binaryclass/a9a_generic.html">
             
-                <a href="../binaryclass/a9a_lr.html">
+                <a href="../binaryclass/a9a_generic.html">
             
                     
                         <b>6.2.2.</b>
                     
+                    General Binary Classifier
+            
+                </a>
+            
+
+            
+        </li>
+    
+        <li class="chapter " data-level="6.2.3" 
data-path="../binaryclass/a9a_lr.html">
+            
+                <a href="../binaryclass/a9a_lr.html">
+            
+                    
+                        <b>6.2.3.</b>
+                    
                     Logistic Regression
             
                 </a>
@@ -995,14 +1010,14 @@
             
         </li>
     
-        <li class="chapter " data-level="6.2.3" 
data-path="../binaryclass/a9a_minibatch.html">
+        <li class="chapter " data-level="6.2.4" 
data-path="../binaryclass/a9a_minibatch.html">
             
                 <a href="../binaryclass/a9a_minibatch.html">
             
                     
-                        <b>6.2.3.</b>
+                        <b>6.2.4.</b>
                     
-                    Mini-batch gradient descent
+                    Mini-batch Gradient Descent
             
                 </a>
             
@@ -1038,7 +1053,7 @@
                     
                         <b>6.3.1.</b>
                     
-                    Data preparation
+                    Data Preparation
             
                 </a>
             
@@ -1076,13 +1091,28 @@
             
         </li>
     
-        <li class="chapter " data-level="6.3.4" 
data-path="../binaryclass/news20_adagrad.html">
+        <li class="chapter " data-level="6.3.4" 
data-path="../binaryclass/news20_generic.html">
             
-                <a href="../binaryclass/news20_adagrad.html">
+                <a href="../binaryclass/news20_generic.html">
             
                     
                         <b>6.3.4.</b>
                     
+                    General Binary Classifier
+            
+                </a>
+            
+
+            
+        </li>
+    
+        <li class="chapter " data-level="6.3.5" 
data-path="../binaryclass/news20_adagrad.html">
+            
+                <a href="../binaryclass/news20_adagrad.html">
+            
+                    
+                        <b>6.3.5.</b>
+                    
                     AdaGradRDA, AdaGrad, AdaDelta
             
                 </a>
@@ -1091,12 +1121,12 @@
             
         </li>
     
-        <li class="chapter " data-level="6.3.5" 
data-path="../binaryclass/news20_rf.html">
+        <li class="chapter " data-level="6.3.6" 
data-path="../binaryclass/news20_rf.html">
             
                 <a href="../binaryclass/news20_rf.html">
             
                     
-                        <b>6.3.5.</b>
+                        <b>6.3.6.</b>
                     
                     Random Forest
             
@@ -1134,7 +1164,7 @@
                     
                         <b>6.4.1.</b>
                     
-                    Data preparation
+                    Data Preparation
             
                 </a>
             
@@ -1185,7 +1215,7 @@
                     
                         <b>6.5.1.</b>
                     
-                    Data preparation
+                    Data Preparation
             
                 </a>
             
@@ -1236,7 +1266,7 @@
                     
                         <b>6.6.1.</b>
                     
-                    Data pareparation
+                    Data Pareparation
             
                 </a>
             
@@ -1302,7 +1332,7 @@
                     
                         <b>6.8.1.</b>
                     
-                    Data preparation
+                    Data Preparation
             
                 </a>
             
@@ -1360,7 +1390,7 @@
                     
                         <b>7.1.1.</b>
                     
-                    Data preparation
+                    Data Preparation
             
                 </a>
             
@@ -1375,7 +1405,7 @@
                     
                         <b>7.1.2.</b>
                     
-                    Data preparation for one-vs-the-rest classifiers
+                    Data Preparation for one-vs-the-rest classifiers
             
                 </a>
             
@@ -1435,7 +1465,7 @@
                     
                         <b>7.1.6.</b>
                     
-                    one-vs-the-rest classifier
+                    one-vs-the-rest Classifier
             
                 </a>
             
@@ -1559,7 +1589,7 @@
                     
                         <b>8.2.1.</b>
                     
-                    Data preparation
+                    Data Preparation
             
                 </a>
             
@@ -1567,13 +1597,28 @@
             
         </li>
     
-        <li class="chapter " data-level="8.2.2" 
data-path="../regression/e2006_arow.html">
+        <li class="chapter " data-level="8.2.2" 
data-path="../regression/e2006_generic.html">
             
-                <a href="../regression/e2006_arow.html">
+                <a href="../regression/e2006_generic.html">
             
                     
                         <b>8.2.2.</b>
                     
+                    General Regessor
+            
+                </a>
+            
+
+            
+        </li>
+    
+        <li class="chapter " data-level="8.2.3" 
data-path="../regression/e2006_arow.html">
+            
+                <a href="../regression/e2006_arow.html">
+            
+                    
+                        <b>8.2.3.</b>
+                    
                     Passive Aggressive, AROW
             
                 </a>
@@ -1610,7 +1655,7 @@
                     
                         <b>8.3.1.</b>
                     
-                    Data preparation
+                    Data Preparation
             
                 </a>
             
@@ -1698,7 +1743,7 @@
                     
                         <b>9.1.1.</b>
                     
-                    Item-based collaborative filtering
+                    Item-based Collaborative Filtering
             
                 </a>
             
@@ -1734,7 +1779,7 @@
                     
                         <b>9.2.1.</b>
                     
-                    Data preparation
+                    Data Preparation
             
                 </a>
             
@@ -1749,7 +1794,7 @@
                     
                         <b>9.2.2.</b>
                     
-                    LSH/MinHash and Jaccard similarity
+                    LSH/MinHash and Jaccard Similarity
             
                 </a>
             
@@ -1764,7 +1809,7 @@
                     
                         <b>9.2.3.</b>
                     
-                    LSH/MinHash and brute-force search
+                    LSH/MinHash and Brute-force Search
             
                 </a>
             
@@ -1815,7 +1860,7 @@
                     
                         <b>9.3.1.</b>
                     
-                    Data preparation
+                    Data Preparation
             
                 </a>
             
@@ -1830,7 +1875,7 @@
                     
                         <b>9.3.2.</b>
                     
-                    Item-based collaborative filtering
+                    Item-based Collaborative Filtering
             
                 </a>
             
@@ -1875,7 +1920,7 @@
                     
                         <b>9.3.5.</b>
                     
-                    SLIM for fast top-k recommendation
+                    SLIM for fast top-k Recommendation
             
                 </a>
             
@@ -1890,7 +1935,7 @@
                     
                         <b>9.3.6.</b>
                     
-                    10-fold cross validation (Matrix Factorization)
+                    10-fold Cross Validation (Matrix Factorization)
             
                 </a>
             
@@ -2080,7 +2125,7 @@
                     
                         <b>13.2.1.</b>
                     
-                    a9a tutorial for DataFrame
+                    a9a Tutorial for DataFrame
             
                 </a>
             
@@ -2095,7 +2140,7 @@
                     
                         <b>13.2.2.</b>
                     
-                    a9a tutorial for SQL
+                    a9a Tutorial for SQL
             
                 </a>
             
@@ -2131,7 +2176,7 @@
                     
                         <b>13.3.1.</b>
                     
-                    E2006-tfidf regression tutorial for DataFrame
+                    E2006-tfidf Regression Tutorial for DataFrame
             
                 </a>
             
@@ -2146,7 +2191,7 @@
                     
                         <b>13.3.2.</b>
                     
-                    E2006-tfidf regression tutorial for SQL
+                    E2006-tfidf Regression Tutorial for SQL
             
                 </a>
             
@@ -2166,7 +2211,7 @@
                     
                         <b>13.4.</b>
                     
-                    Generic features
+                    Generic Features
             
                 </a>
             
@@ -2182,7 +2227,7 @@
                     
                         <b>13.4.1.</b>
                     
-                    Top-k join processing
+                    Top-k Join Processing
             
                 </a>
             
@@ -2197,7 +2242,7 @@
                     
                         <b>13.4.2.</b>
                     
-                    Other utility functions
+                    Other Utility Functions
             
                 </a>
             
@@ -2901,7 +2946,7 @@ Apache Hivemall is an effort undergoing incubation at The 
Apache Software Founda
     <script>
         var gitbook = gitbook || [];
         gitbook.push(function() {
-            gitbook.page.hasChanged({"page":{"title":"List of 
Functions","level":"1.3","depth":1,"next":{"title":"Tips for Effective 
Hivemall","level":"1.4","depth":1,"path":"tips/README.md","ref":"tips/README.md","articles":[{"title":"Explicit
 add_bias() for better 
prediction","level":"1.4.1","depth":2,"path":"tips/addbias.md","ref":"tips/addbias.md","articles":[]},{"title":"Use
 rand_amplify() to better prediction 
results","level":"1.4.2","depth":2,"path":"tips/rand_amplify.md","ref":"tips/rand_amplify.md","articles":[]},{"title":"Real-time
 prediction on 
RDBMS","level":"1.4.3","depth":2,"path":"tips/rt_prediction.md","ref":"tips/rt_prediction.md","articles":[]},{"title":"Ensemble
 learning for stable 
prediction","level":"1.4.4","depth":2,"path":"tips/ensemble_learning.md","ref":"tips/ensemble_learning.md","articles":[]},{"title":"Mixing
 models for a better prediction convergence (MIX 
server)","level":"1.4.5","depth":2,"path":"tips/mixserver.md","ref":"tips/mixserver.md","articles":[
 ]},{"title":"Run Hivemall on Amazon Elastic 
MapReduce","level":"1.4.6","depth":2,"path":"tips/emr.md","ref":"tips/emr.md","articles":[]}]},"previous":{"title":"Input
 
Format","level":"1.2.3","depth":2,"path":"getting_started/input-format.md","ref":"getting_started/input-format.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/git
 
book","label":"PDF","multilingual":false},"multipart":{},"localized-footer":{"filename":"FOOTER.md","hline":"true"},"lunr":{"maxIndexSize":1000000,"ignoreSpecialCharacters":false},"katex":{},"fontsettings":{"theme":"white","family":"sans","size":2,"font":"sans"},"highlight":{},"codeblock-filename":{},"sitemap":{"hostname":"https://hivemall.incubator.apache.org/"},"theme-api":{"languages":[],"split":false,"theme":"dark"},"sharing":{"facebook":true,"twitter":true,"google":false,"weibo":false,"instapaper":false,"vk":false,"all":["facebook","google","twitter","weibo","instapaper"]},"edit-link":{"label":"Edit","base":"https://github.com/apache/incubator-hivemall/tree/master/docs/gitbook"},"theme-default":{"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"showLevel":true},"anchorjs":{"selector":"h1,h2,h3,*:not(.callout)
 > h4,h5"},"toggle-chapters":{},"expandable-chapters
 
":{}},"theme":"default","pdf":{"pageNumbers":true,"fontSize":12,"fontFamily":"Arial","paperSize":"a4","chapterMark":"pagebreak","pageBreaksBefore":"/","margin":{"right":62,"left":62,"top":56,"bottom":56}},"structure":{"langs":"LANGS.md","readme":"README.md","glossary":"GLOSSARY.md","summary":"SUMMARY.md"},"variables":{},"title":"Hivemall
 User Manual","links":{"sidebar":{"<i class=\"fa fa-home\"></i> 
Home":"https://hivemall.incubator.apache.org/"}},"gitbook":"3.x.x","description":"User
 Manual for Apache 
Hivemall"},"file":{"path":"misc/funcs.md","mtime":"2018-11-13T09:27:27.553Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-11-13T09:32:29.643Z"},"basePath":"..","book":{"language":""}});
+            gitbook.page.hasChanged({"page":{"title":"List of 
Functions","level":"1.3","depth":1,"next":{"title":"Tips for Effective 
Hivemall","level":"1.4","depth":1,"path":"tips/README.md","ref":"tips/README.md","articles":[{"title":"Explicit
 add_bias() for better 
prediction","level":"1.4.1","depth":2,"path":"tips/addbias.md","ref":"tips/addbias.md","articles":[]},{"title":"Use
 rand_amplify() to better prediction 
results","level":"1.4.2","depth":2,"path":"tips/rand_amplify.md","ref":"tips/rand_amplify.md","articles":[]},{"title":"Real-time
 prediction on 
RDBMS","level":"1.4.3","depth":2,"path":"tips/rt_prediction.md","ref":"tips/rt_prediction.md","articles":[]},{"title":"Ensemble
 learning for stable 
prediction","level":"1.4.4","depth":2,"path":"tips/ensemble_learning.md","ref":"tips/ensemble_learning.md","articles":[]},{"title":"Mixing
 models for a better prediction convergence (MIX 
server)","level":"1.4.5","depth":2,"path":"tips/mixserver.md","ref":"tips/mixserver.md","articles":[
 ]},{"title":"Run Hivemall on Amazon Elastic 
MapReduce","level":"1.4.6","depth":2,"path":"tips/emr.md","ref":"tips/emr.md","articles":[]}]},"previous":{"title":"Input
 
Format","level":"1.2.3","depth":2,"path":"getting_started/input-format.md","ref":"getting_started/input-format.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/git
 
book","label":"PDF","multilingual":false},"multipart":{},"localized-footer":{"filename":"FOOTER.md","hline":"true"},"lunr":{"maxIndexSize":1000000,"ignoreSpecialCharacters":false},"katex":{},"fontsettings":{"theme":"white","family":"sans","size":2,"font":"sans"},"highlight":{},"codeblock-filename":{},"sitemap":{"hostname":"https://hivemall.incubator.apache.org/"},"theme-api":{"languages":[],"split":false,"theme":"dark"},"sharing":{"facebook":true,"twitter":true,"google":false,"weibo":false,"instapaper":false,"vk":false,"all":["facebook","google","twitter","weibo","instapaper"]},"edit-link":{"label":"Edit","base":"https://github.com/apache/incubator-hivemall/tree/master/docs/gitbook"},"theme-default":{"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"showLevel":true},"anchorjs":{"selector":"h1,h2,h3,*:not(.callout)
 > h4,h5"},"toggle-chapters":{},"expandable-chapters
 
":{}},"theme":"default","pdf":{"pageNumbers":true,"fontSize":12,"fontFamily":"Arial","paperSize":"a4","chapterMark":"pagebreak","pageBreaksBefore":"/","margin":{"right":62,"left":62,"top":56,"bottom":56}},"structure":{"langs":"LANGS.md","readme":"README.md","glossary":"GLOSSARY.md","summary":"SUMMARY.md"},"variables":{},"title":"Hivemall
 User Manual","links":{"sidebar":{"<i class=\"fa fa-home\"></i> 
Home":"https://hivemall.incubator.apache.org/"}},"gitbook":"3.x.x","description":"User
 Manual for Apache 
Hivemall"},"file":{"path":"misc/funcs.md","mtime":"2018-12-25T07:50:37.542Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-12-26T10:20:07.153Z"},"basePath":"..","book":{"language":""}});
         });
     </script>
 </div>
@@ -2931,7 +2976,7 @@ Apache Hivemall is an effort undergoing incubation at The 
Apache Software Founda
         
     
         
-        <script 
src="https://cdnjs.cloudflare.com/ajax/libs/anchor-js/4.1.1/anchor.min.js";></script>
+        <script 
src="../gitbook/gitbook-plugin-anchorjs/anchor.min.js"></script>
         
     
         

Reply via email to