Added criteo example and step-by-step guide for general classifier/regressor


Project: http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/repo
Commit: 
http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/commit/6c6a1b42
Tree: 
http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/tree/6c6a1b42
Diff: 
http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/diff/6c6a1b42

Branch: refs/heads/asf-site
Commit: 6c6a1b421f5f9cbc16a4673d158b4469509ee20a
Parents: e1e876d
Author: Makoto Yui <[email protected]>
Authored: Fri Aug 31 16:00:24 2018 +0900
Committer: Makoto Yui <[email protected]>
Committed: Fri Aug 31 16:00:24 2018 +0900

----------------------------------------------------------------------
 userguide/anomaly/changefinder.html             |   74 +-
 userguide/anomaly/lof.html                      |   74 +-
 userguide/anomaly/sst.html                      |   74 +-
 userguide/binaryclass/a9a.html                  |   74 +-
 userguide/binaryclass/a9a_dataset.html          |   76 +-
 userguide/binaryclass/a9a_lr.html               |   74 +-
 userguide/binaryclass/a9a_minibatch.html        |   74 +-
 userguide/binaryclass/criteo.html               | 2412 ++++++++++++++
 userguide/binaryclass/criteo_dataset.html       | 2474 +++++++++++++++
 userguide/binaryclass/criteo_ffm.html           | 2708 ++++++++++++++++
 userguide/binaryclass/general.html              |   76 +-
 userguide/binaryclass/kdd2010a.html             |   74 +-
 userguide/binaryclass/kdd2010a_dataset.html     |   74 +-
 userguide/binaryclass/kdd2010a_scw.html         |   74 +-
 userguide/binaryclass/kdd2010b.html             |   74 +-
 userguide/binaryclass/kdd2010b_arow.html        |   74 +-
 userguide/binaryclass/kdd2010b_dataset.html     |   74 +-
 userguide/binaryclass/news20.html               |   74 +-
 userguide/binaryclass/news20_adagrad.html       |   74 +-
 userguide/binaryclass/news20_dataset.html       |   74 +-
 userguide/binaryclass/news20_pa.html            |   74 +-
 userguide/binaryclass/news20_rf.html            |   74 +-
 userguide/binaryclass/news20_scw.html           |   74 +-
 userguide/binaryclass/titanic_rf.html           |   76 +-
 userguide/binaryclass/webspam.html              |   74 +-
 userguide/binaryclass/webspam_dataset.html      |   74 +-
 userguide/binaryclass/webspam_scw.html          |   74 +-
 userguide/clustering/lda.html                   |   74 +-
 userguide/clustering/plsa.html                  |   74 +-
 userguide/docker/getting_started.html           |   74 +-
 userguide/eval/auc.html                         |   74 +-
 .../eval/binary_classification_measures.html    |   74 +-
 userguide/eval/datagen.html                     |   74 +-
 userguide/eval/lr_datagen.html                  |   76 +-
 .../multilabel_classification_measures.html     |   74 +-
 userguide/eval/rank.html                        |   74 +-
 userguide/eval/regression.html                  |   74 +-
 userguide/ft_engineering/binning.html           |   74 +-
 userguide/ft_engineering/ft_trans.html          |   74 +-
 userguide/ft_engineering/hashing.html           |   74 +-
 userguide/ft_engineering/pairing.html           |   74 +-
 userguide/ft_engineering/polynomial.html        |   74 +-
 userguide/ft_engineering/quantify.html          |   74 +-
 userguide/ft_engineering/scaling.html           |   74 +-
 userguide/ft_engineering/selection.html         |   74 +-
 userguide/ft_engineering/tfidf.html             |   74 +-
 userguide/ft_engineering/vectorization.html     |   74 +-
 userguide/geospatial/latlon.html                |   74 +-
 userguide/getting_started/index.html            |   74 +-
 userguide/getting_started/input-format.html     |   74 +-
 userguide/getting_started/installation.html     |   74 +-
 .../getting_started/permanent-functions.html    |   74 +-
 userguide/index.html                            |   74 +-
 userguide/misc/approx.html                      |   74 +-
 userguide/misc/funcs.html                       |   74 +-
 userguide/misc/generic_funcs.html               |   74 +-
 userguide/misc/tokenizer.html                   |   74 +-
 userguide/misc/topk.html                        |   74 +-
 userguide/multiclass/iris.html                  |   74 +-
 userguide/multiclass/iris_dataset.html          |   74 +-
 userguide/multiclass/iris_randomforest.html     |   74 +-
 userguide/multiclass/iris_scw.html              |   74 +-
 userguide/multiclass/news20.html                |   76 +-
 userguide/multiclass/news20_dataset.html        |   74 +-
 userguide/multiclass/news20_ensemble.html       |   74 +-
 .../multiclass/news20_one-vs-the-rest.html      |   74 +-
 .../news20_one-vs-the-rest_dataset.html         |   74 +-
 userguide/multiclass/news20_pa.html             |   74 +-
 userguide/multiclass/news20_scw.html            |   74 +-
 userguide/recommend/cf.html                     |   74 +-
 userguide/recommend/item_based_cf.html          |   74 +-
 userguide/recommend/movielens.html              |   74 +-
 userguide/recommend/movielens_cf.html           |   74 +-
 userguide/recommend/movielens_cv.html           |   74 +-
 userguide/recommend/movielens_dataset.html      |   74 +-
 userguide/recommend/movielens_fm.html           |   74 +-
 userguide/recommend/movielens_mf.html           |   74 +-
 userguide/recommend/movielens_slim.html         |   74 +-
 userguide/recommend/news20.html                 |   74 +-
 userguide/recommend/news20_bbit_minhash.html    |   74 +-
 userguide/recommend/news20_jaccard.html         |   74 +-
 userguide/recommend/news20_knn.html             |   74 +-
 userguide/regression/e2006.html                 |   74 +-
 userguide/regression/e2006_arow.html            |   74 +-
 userguide/regression/e2006_dataset.html         |   74 +-
 userguide/regression/general.html               |   74 +-
 userguide/regression/kddcup12tr2.html           |   74 +-
 userguide/regression/kddcup12tr2_adagrad.html   |   74 +-
 userguide/regression/kddcup12tr2_dataset.html   |   74 +-
 userguide/regression/kddcup12tr2_lr.html        |   74 +-
 .../regression/kddcup12tr2_lr_amplify.html      |   74 +-
 userguide/search_index.json                     |    2 +-
 userguide/sitemap.xml                           |    6 +-
 userguide/spark/binaryclass/a9a_df.html         |   74 +-
 userguide/spark/binaryclass/a9a_sql.html        |   74 +-
 userguide/spark/binaryclass/index.html          |   74 +-
 userguide/spark/getting_started/index.html      |   74 +-
 .../spark/getting_started/installation.html     |   74 +-
 userguide/spark/misc/functions.html             |   74 +-
 userguide/spark/misc/misc.html                  |   74 +-
 userguide/spark/misc/topk_join.html             |   74 +-
 userguide/spark/regression/e2006_df.html        |   74 +-
 userguide/spark/regression/e2006_sql.html       |   74 +-
 userguide/supervised_learning/prediction.html   | 2604 +++++++++++++++
 userguide/supervised_learning/tutorial.html     | 2982 ++++++++++++++++++
 userguide/tips/addbias.html                     |   74 +-
 userguide/tips/emr.html                         |   74 +-
 userguide/tips/ensemble_learning.html           |   74 +-
 userguide/tips/general_tips.html                |   74 +-
 userguide/tips/hadoop_tuning.html               |   74 +-
 userguide/tips/index.html                       |   74 +-
 userguide/tips/mixserver.html                   |   74 +-
 userguide/tips/rand_amplify.html                |   74 +-
 userguide/tips/rowid.html                       |   74 +-
 userguide/tips/rt_prediction.html               |   74 +-
 userguide/troubleshooting/asterisk.html         |   74 +-
 userguide/troubleshooting/index.html            |   74 +-
 .../troubleshooting/mapjoin_classcastex.html    |   74 +-
 .../troubleshooting/mapjoin_task_error.html     |   74 +-
 userguide/troubleshooting/num_mappers.html      |   74 +-
 userguide/troubleshooting/oom.html              |   74 +-
 121 files changed, 21171 insertions(+), 463 deletions(-)
----------------------------------------------------------------------


http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/6c6a1b42/userguide/anomaly/changefinder.html
----------------------------------------------------------------------
diff --git a/userguide/anomaly/changefinder.html 
b/userguide/anomaly/changefinder.html
index 28b4f2f..9ab6b7c 100644
--- a/userguide/anomaly/changefinder.html
+++ b/userguide/anomaly/changefinder.html
@@ -861,9 +861,9 @@
         
         
     
-        <li class="chapter " data-level="5.1" 
data-path="../misc/prediction.html">
+        <li class="chapter " data-level="5.1" 
data-path="../supervised_learning/prediction.html">
             
-                <a href="../misc/prediction.html">
+                <a href="../supervised_learning/prediction.html">
             
                     
                         <b>5.1.</b>
@@ -876,6 +876,21 @@
             
         </li>
     
+        <li class="chapter " data-level="5.2" 
data-path="../supervised_learning/tutorial.html">
+            
+                <a href="../supervised_learning/tutorial.html">
+            
+                    
+                        <b>5.2.</b>
+                    
+                    Step-by-Step Tutorial on Supervised Learning
+            
+                </a>
+            
+
+            
+        </li>
+    
 
     
         
@@ -1228,6 +1243,57 @@
             
         </li>
     
+        <li class="chapter " data-level="6.8" 
data-path="../binaryclass/criteo.html">
+            
+                <a href="../binaryclass/criteo.html">
+            
+                    
+                        <b>6.8.</b>
+                    
+                    Criteo Tutorial
+            
+                </a>
+            
+
+            
+            <ul class="articles">
+                
+    
+        <li class="chapter " data-level="6.8.1" 
data-path="../binaryclass/criteo_dataset.html">
+            
+                <a href="../binaryclass/criteo_dataset.html">
+            
+                    
+                        <b>6.8.1.</b>
+                    
+                    Data preparation
+            
+                </a>
+            
+
+            
+        </li>
+    
+        <li class="chapter " data-level="6.8.2" 
data-path="../binaryclass/criteo_ffm.html">
+            
+                <a href="../binaryclass/criteo_ffm.html">
+            
+                    
+                        <b>6.8.2.</b>
+                    
+                    Field-Aware Factorization Machines
+            
+                </a>
+            
+
+            
+        </li>
+    
+
+            </ul>
+            
+        </li>
+    
 
     
         
@@ -2461,7 +2527,7 @@ Apache Hivemall is an effort undergoing incubation at The 
Apache Software Founda
     <script>
         var gitbook = gitbook || [];
         gitbook.push(function() {
-            gitbook.page.hasChanged({"page":{"title":"ChangeFinder: Detecting 
Outlier and Change-Point 
Simultaneously","level":"10.3","depth":1,"next":{"title":"Latent Dirichlet 
Allocation","level":"11.1","depth":1,"path":"clustering/lda.md","ref":"clustering/lda.md","articles":[]},"previous":{"title":"Change-Point
 Detection using Singular Spectrum Transformation 
(SST)","level":"10.2","depth":1,"path":"anomaly/sst.md","ref":"anomaly/sst.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},"gi
 
thub":{"url":"https://github.com/apache/incubator-hivemall/"},"splitter":{},"search":{},"downloadpdf":{"base":"https://github.com/apache/incubator-hivemall/docs/gitbook","label":"PDF","multilingual":false},"multipart":{},"localized-footer":{"filename":"FOOTER.md","hline":"true"},"lunr":{"maxIndexSize":1000000,"ignoreSpecialCharacters":false},"katex":{},"fontsettings":{"theme":"white","family":"sans","size":2,"font":"sans"},"highlight":{},"codeblock-filename":{},"sitemap":{"hostname":"http://hivemall.incubator.apache.org/"},"theme-api":{"languages":[],"split":false,"theme":"dark"},"sharing":{"facebook":true,"twitter":true,"google":false,"weibo":false,"instapaper":false,"vk":false,"all":["facebook","google","twitter","weibo","instapaper"]},"edit-link":{"label":"Edit","base":"https://github.com/apache/incubator-hivemall/tree/master/docs/gitbook"},"theme-default":{"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"s
 
tyles/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":"anomaly/changefinder.md","mtime":"2017-12-11T08:48:01.124Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-06-06T09:01:20.330Z"},"basePath":"..","book":{"language":""}});
+            gitbook.page.hasChanged({"page":{"title":"ChangeFinder: Detecting 
Outlier and Change-Point 
Simultaneously","level":"10.3","depth":1,"next":{"title":"Latent Dirichlet 
Allocation","level":"11.1","depth":1,"path":"clustering/lda.md","ref":"clustering/lda.md","articles":[]},"previous":{"title":"Change-Point
 Detection using Singular Spectrum Transformation 
(SST)","level":"10.2","depth":1,"path":"anomaly/sst.md","ref":"anomaly/sst.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},"gi
 
thub":{"url":"https://github.com/apache/incubator-hivemall/"},"splitter":{},"search":{},"downloadpdf":{"base":"https://github.com/apache/incubator-hivemall/docs/gitbook","label":"PDF","multilingual":false},"multipart":{},"localized-footer":{"filename":"FOOTER.md","hline":"true"},"lunr":{"maxIndexSize":1000000,"ignoreSpecialCharacters":false},"katex":{},"fontsettings":{"theme":"white","family":"sans","size":2,"font":"sans"},"highlight":{},"codeblock-filename":{},"sitemap":{"hostname":"http://hivemall.incubator.apache.org/"},"theme-api":{"languages":[],"split":false,"theme":"dark"},"sharing":{"facebook":true,"twitter":true,"google":false,"weibo":false,"instapaper":false,"vk":false,"all":["facebook","google","twitter","weibo","instapaper"]},"edit-link":{"label":"Edit","base":"https://github.com/apache/incubator-hivemall/tree/master/docs/gitbook"},"theme-default":{"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"s
 
tyles/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":"anomaly/changefinder.md","mtime":"2018-08-29T08:55:00.262Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-08-31T06:54:21.013Z"},"basePath":"..","book":{"language":""}});
         });
     </script>
 </div>
@@ -2491,7 +2557,7 @@ Apache Hivemall is an effort undergoing incubation at The 
Apache Software Founda
         
     
         
-        <script 
src="https://cdnjs.cloudflare.com/ajax/libs/anchor-js/4.1.0/anchor.min.js";></script>
+        <script 
src="https://cdnjs.cloudflare.com/ajax/libs/anchor-js/4.1.1/anchor.min.js";></script>
         
     
         

http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/6c6a1b42/userguide/anomaly/lof.html
----------------------------------------------------------------------
diff --git a/userguide/anomaly/lof.html b/userguide/anomaly/lof.html
index 8fbd4eb..b2cda6a 100644
--- a/userguide/anomaly/lof.html
+++ b/userguide/anomaly/lof.html
@@ -861,9 +861,9 @@
         
         
     
-        <li class="chapter " data-level="5.1" 
data-path="../misc/prediction.html">
+        <li class="chapter " data-level="5.1" 
data-path="../supervised_learning/prediction.html">
             
-                <a href="../misc/prediction.html">
+                <a href="../supervised_learning/prediction.html">
             
                     
                         <b>5.1.</b>
@@ -876,6 +876,21 @@
             
         </li>
     
+        <li class="chapter " data-level="5.2" 
data-path="../supervised_learning/tutorial.html">
+            
+                <a href="../supervised_learning/tutorial.html">
+            
+                    
+                        <b>5.2.</b>
+                    
+                    Step-by-Step Tutorial on Supervised Learning
+            
+                </a>
+            
+
+            
+        </li>
+    
 
     
         
@@ -1228,6 +1243,57 @@
             
         </li>
     
+        <li class="chapter " data-level="6.8" 
data-path="../binaryclass/criteo.html">
+            
+                <a href="../binaryclass/criteo.html">
+            
+                    
+                        <b>6.8.</b>
+                    
+                    Criteo Tutorial
+            
+                </a>
+            
+
+            
+            <ul class="articles">
+                
+    
+        <li class="chapter " data-level="6.8.1" 
data-path="../binaryclass/criteo_dataset.html">
+            
+                <a href="../binaryclass/criteo_dataset.html">
+            
+                    
+                        <b>6.8.1.</b>
+                    
+                    Data preparation
+            
+                </a>
+            
+
+            
+        </li>
+    
+        <li class="chapter " data-level="6.8.2" 
data-path="../binaryclass/criteo_ffm.html">
+            
+                <a href="../binaryclass/criteo_ffm.html">
+            
+                    
+                        <b>6.8.2.</b>
+                    
+                    Field-Aware Factorization Machines
+            
+                </a>
+            
+
+            
+        </li>
+    
+
+            </ul>
+            
+        </li>
+    
 
     
         
@@ -2439,7 +2505,7 @@ Apache Hivemall is an effort undergoing incubation at The 
Apache Software Founda
     <script>
         var gitbook = gitbook || [];
         gitbook.push(function() {
-            gitbook.page.hasChanged({"page":{"title":"Outlier Detection using 
Local Outlier Factor 
(LOF)","level":"10.1","depth":1,"next":{"title":"Change-Point Detection using 
Singular Spectrum Transformation 
(SST)","level":"10.2","depth":1,"path":"anomaly/sst.md","ref":"anomaly/sst.md","articles":[]},"previous":{"title":"10-fold
 cross validation (Matrix 
Factorization)","level":"9.3.6","depth":2,"path":"recommend/movielens_cv.md","ref":"recommend/movielens_cv.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,"minde
 
pth":1,"notoc":true},"github":{"url":"https://github.com/apache/incubator-hivemall/"},"splitter":{},"search":{},"downloadpdf":{"base":"https://github.com/apache/incubator-hivemall/docs/gitbook","label":"PDF","multilingual":false},"multipart":{},"localized-footer":{"filename":"FOOTER.md","hline":"true"},"lunr":{"maxIndexSize":1000000,"ignoreSpecialCharacters":false},"katex":{},"fontsettings":{"theme":"white","family":"sans","size":2,"font":"sans"},"highlight":{},"codeblock-filename":{},"sitemap":{"hostname":"http://hivemall.incubator.apache.org/"},"theme-api":{"languages":[],"split":false,"theme":"dark"},"sharing":{"facebook":true,"twitter":true,"google":false,"weibo":false,"instapaper":false,"vk":false,"all":["facebook","google","twitter","weibo","instapaper"]},"edit-link":{"label":"Edit","base":"https://github.com/apache/incubator-hivemall/tree/master/docs/gitbook"},"theme-default":{"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"sty
 
les/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":"anomaly/lof.md","mtime":"2017-12-11T08:48:01.124Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-06-06T09:01:20.330Z"},"basePath":"..","book":{"language":""}});
+            gitbook.page.hasChanged({"page":{"title":"Outlier Detection using 
Local Outlier Factor 
(LOF)","level":"10.1","depth":1,"next":{"title":"Change-Point Detection using 
Singular Spectrum Transformation 
(SST)","level":"10.2","depth":1,"path":"anomaly/sst.md","ref":"anomaly/sst.md","articles":[]},"previous":{"title":"10-fold
 cross validation (Matrix 
Factorization)","level":"9.3.6","depth":2,"path":"recommend/movielens_cv.md","ref":"recommend/movielens_cv.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,"minde
 
pth":1,"notoc":true},"github":{"url":"https://github.com/apache/incubator-hivemall/"},"splitter":{},"search":{},"downloadpdf":{"base":"https://github.com/apache/incubator-hivemall/docs/gitbook","label":"PDF","multilingual":false},"multipart":{},"localized-footer":{"filename":"FOOTER.md","hline":"true"},"lunr":{"maxIndexSize":1000000,"ignoreSpecialCharacters":false},"katex":{},"fontsettings":{"theme":"white","family":"sans","size":2,"font":"sans"},"highlight":{},"codeblock-filename":{},"sitemap":{"hostname":"http://hivemall.incubator.apache.org/"},"theme-api":{"languages":[],"split":false,"theme":"dark"},"sharing":{"facebook":true,"twitter":true,"google":false,"weibo":false,"instapaper":false,"vk":false,"all":["facebook","google","twitter","weibo","instapaper"]},"edit-link":{"label":"Edit","base":"https://github.com/apache/incubator-hivemall/tree/master/docs/gitbook"},"theme-default":{"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"sty
 
les/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":"anomaly/lof.md","mtime":"2018-08-29T08:55:00.263Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-08-31T06:54:21.013Z"},"basePath":"..","book":{"language":""}});
         });
     </script>
 </div>
@@ -2469,7 +2535,7 @@ Apache Hivemall is an effort undergoing incubation at The 
Apache Software Founda
         
     
         
-        <script 
src="https://cdnjs.cloudflare.com/ajax/libs/anchor-js/4.1.0/anchor.min.js";></script>
+        <script 
src="https://cdnjs.cloudflare.com/ajax/libs/anchor-js/4.1.1/anchor.min.js";></script>
         
     
         

http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/6c6a1b42/userguide/anomaly/sst.html
----------------------------------------------------------------------
diff --git a/userguide/anomaly/sst.html b/userguide/anomaly/sst.html
index 64d7967..2a5b64e 100644
--- a/userguide/anomaly/sst.html
+++ b/userguide/anomaly/sst.html
@@ -861,9 +861,9 @@
         
         
     
-        <li class="chapter " data-level="5.1" 
data-path="../misc/prediction.html">
+        <li class="chapter " data-level="5.1" 
data-path="../supervised_learning/prediction.html">
             
-                <a href="../misc/prediction.html">
+                <a href="../supervised_learning/prediction.html">
             
                     
                         <b>5.1.</b>
@@ -876,6 +876,21 @@
             
         </li>
     
+        <li class="chapter " data-level="5.2" 
data-path="../supervised_learning/tutorial.html">
+            
+                <a href="../supervised_learning/tutorial.html">
+            
+                    
+                        <b>5.2.</b>
+                    
+                    Step-by-Step Tutorial on Supervised Learning
+            
+                </a>
+            
+
+            
+        </li>
+    
 
     
         
@@ -1228,6 +1243,57 @@
             
         </li>
     
+        <li class="chapter " data-level="6.8" 
data-path="../binaryclass/criteo.html">
+            
+                <a href="../binaryclass/criteo.html">
+            
+                    
+                        <b>6.8.</b>
+                    
+                    Criteo Tutorial
+            
+                </a>
+            
+
+            
+            <ul class="articles">
+                
+    
+        <li class="chapter " data-level="6.8.1" 
data-path="../binaryclass/criteo_dataset.html">
+            
+                <a href="../binaryclass/criteo_dataset.html">
+            
+                    
+                        <b>6.8.1.</b>
+                    
+                    Data preparation
+            
+                </a>
+            
+
+            
+        </li>
+    
+        <li class="chapter " data-level="6.8.2" 
data-path="../binaryclass/criteo_ffm.html">
+            
+                <a href="../binaryclass/criteo_ffm.html">
+            
+                    
+                        <b>6.8.2.</b>
+                    
+                    Field-Aware Factorization Machines
+            
+                </a>
+            
+
+            
+        </li>
+    
+
+            </ul>
+            
+        </li>
+    
 
     
         
@@ -2447,7 +2513,7 @@ Apache Hivemall is an effort undergoing incubation at The 
Apache Software Founda
     <script>
         var gitbook = gitbook || [];
         gitbook.push(function() {
-            gitbook.page.hasChanged({"page":{"title":"Change-Point Detection 
using Singular Spectrum Transformation 
(SST)","level":"10.2","depth":1,"next":{"title":"ChangeFinder: Detecting 
Outlier and Change-Point 
Simultaneously","level":"10.3","depth":1,"path":"anomaly/changefinder.md","ref":"anomaly/changefinder.md","articles":[]},"previous":{"title":"Outlier
 Detection using Local Outlier Factor 
(LOF)","level":"10.1","depth":1,"path":"anomaly/lof.md","ref":"anomaly/lof.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,"maxdept
 
h":3,"mindepth":1,"notoc":true},"github":{"url":"https://github.com/apache/incubator-hivemall/"},"splitter":{},"search":{},"downloadpdf":{"base":"https://github.com/apache/incubator-hivemall/docs/gitbook","label":"PDF","multilingual":false},"multipart":{},"localized-footer":{"filename":"FOOTER.md","hline":"true"},"lunr":{"maxIndexSize":1000000,"ignoreSpecialCharacters":false},"katex":{},"fontsettings":{"theme":"white","family":"sans","size":2,"font":"sans"},"highlight":{},"codeblock-filename":{},"sitemap":{"hostname":"http://hivemall.incubator.apache.org/"},"theme-api":{"languages":[],"split":false,"theme":"dark"},"sharing":{"facebook":true,"twitter":true,"google":false,"weibo":false,"instapaper":false,"vk":false,"all":["facebook","google","twitter","weibo","instapaper"]},"edit-link":{"label":"Edit","base":"https://github.com/apache/incubator-hivemall/tree/master/docs/gitbook"},"theme-default":{"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css";,
 
"mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"showLevel":true},"anchorjs":{"selector":"h1,h2,h3,*:not(.callout)
 > 
h4,h5"},"toggle-chapters":{},"expandable-chapters":{}},"theme":"default","pdf":{"pageNumbers":true,"fontSize":12,"fontFamily":"Arial","paperSize":"a4","chapterMark":"pagebreak","pageBreaksBefore":"/","margin":{"right":62,"left":62,"top":56,"bottom":56}},"structure":{"langs":"LANGS.md","readme":"README.md","glossary":"GLOSSARY.md","summary":"SUMMARY.md"},"variables":{},"title":"Hivemall
 User Manual","links":{"sidebar":{"<i class=\"fa fa-home\"></i> 
Home":"http://hivemall.incubator.apache.org/"}},"gitbook":"3.x.x","description":"User
 Manual for Apache 
Hivemall"},"file":{"path":"anomaly/sst.md","mtime":"2017-12-11T08:48:01.124Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-06-06T09:01:20.330Z"},"basePath":"..","book":{"language":""}});
+            gitbook.page.hasChanged({"page":{"title":"Change-Point Detection 
using Singular Spectrum Transformation 
(SST)","level":"10.2","depth":1,"next":{"title":"ChangeFinder: Detecting 
Outlier and Change-Point 
Simultaneously","level":"10.3","depth":1,"path":"anomaly/changefinder.md","ref":"anomaly/changefinder.md","articles":[]},"previous":{"title":"Outlier
 Detection using Local Outlier Factor 
(LOF)","level":"10.1","depth":1,"path":"anomaly/lof.md","ref":"anomaly/lof.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,"maxdept
 
h":3,"mindepth":1,"notoc":true},"github":{"url":"https://github.com/apache/incubator-hivemall/"},"splitter":{},"search":{},"downloadpdf":{"base":"https://github.com/apache/incubator-hivemall/docs/gitbook","label":"PDF","multilingual":false},"multipart":{},"localized-footer":{"filename":"FOOTER.md","hline":"true"},"lunr":{"maxIndexSize":1000000,"ignoreSpecialCharacters":false},"katex":{},"fontsettings":{"theme":"white","family":"sans","size":2,"font":"sans"},"highlight":{},"codeblock-filename":{},"sitemap":{"hostname":"http://hivemall.incubator.apache.org/"},"theme-api":{"languages":[],"split":false,"theme":"dark"},"sharing":{"facebook":true,"twitter":true,"google":false,"weibo":false,"instapaper":false,"vk":false,"all":["facebook","google","twitter","weibo","instapaper"]},"edit-link":{"label":"Edit","base":"https://github.com/apache/incubator-hivemall/tree/master/docs/gitbook"},"theme-default":{"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css";,
 
"mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"showLevel":true},"anchorjs":{"selector":"h1,h2,h3,*:not(.callout)
 > 
h4,h5"},"toggle-chapters":{},"expandable-chapters":{}},"theme":"default","pdf":{"pageNumbers":true,"fontSize":12,"fontFamily":"Arial","paperSize":"a4","chapterMark":"pagebreak","pageBreaksBefore":"/","margin":{"right":62,"left":62,"top":56,"bottom":56}},"structure":{"langs":"LANGS.md","readme":"README.md","glossary":"GLOSSARY.md","summary":"SUMMARY.md"},"variables":{},"title":"Hivemall
 User Manual","links":{"sidebar":{"<i class=\"fa fa-home\"></i> 
Home":"http://hivemall.incubator.apache.org/"}},"gitbook":"3.x.x","description":"User
 Manual for Apache 
Hivemall"},"file":{"path":"anomaly/sst.md","mtime":"2018-08-29T08:55:00.263Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-08-31T06:54:21.013Z"},"basePath":"..","book":{"language":""}});
         });
     </script>
 </div>
@@ -2477,7 +2543,7 @@ Apache Hivemall is an effort undergoing incubation at The 
Apache Software Founda
         
     
         
-        <script 
src="https://cdnjs.cloudflare.com/ajax/libs/anchor-js/4.1.0/anchor.min.js";></script>
+        <script 
src="https://cdnjs.cloudflare.com/ajax/libs/anchor-js/4.1.1/anchor.min.js";></script>
         
     
         

http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/6c6a1b42/userguide/binaryclass/a9a.html
----------------------------------------------------------------------
diff --git a/userguide/binaryclass/a9a.html b/userguide/binaryclass/a9a.html
index 3d34b93..e4756c3 100644
--- a/userguide/binaryclass/a9a.html
+++ b/userguide/binaryclass/a9a.html
@@ -861,9 +861,9 @@
         
         
     
-        <li class="chapter " data-level="5.1" 
data-path="../misc/prediction.html">
+        <li class="chapter " data-level="5.1" 
data-path="../supervised_learning/prediction.html">
             
-                <a href="../misc/prediction.html">
+                <a href="../supervised_learning/prediction.html">
             
                     
                         <b>5.1.</b>
@@ -876,6 +876,21 @@
             
         </li>
     
+        <li class="chapter " data-level="5.2" 
data-path="../supervised_learning/tutorial.html">
+            
+                <a href="../supervised_learning/tutorial.html">
+            
+                    
+                        <b>5.2.</b>
+                    
+                    Step-by-Step Tutorial on Supervised Learning
+            
+                </a>
+            
+
+            
+        </li>
+    
 
     
         
@@ -1228,6 +1243,57 @@
             
         </li>
     
+        <li class="chapter " data-level="6.8" data-path="criteo.html">
+            
+                <a href="criteo.html">
+            
+                    
+                        <b>6.8.</b>
+                    
+                    Criteo Tutorial
+            
+                </a>
+            
+
+            
+            <ul class="articles">
+                
+    
+        <li class="chapter " data-level="6.8.1" 
data-path="criteo_dataset.html">
+            
+                <a href="criteo_dataset.html">
+            
+                    
+                        <b>6.8.1.</b>
+                    
+                    Data preparation
+            
+                </a>
+            
+
+            
+        </li>
+    
+        <li class="chapter " data-level="6.8.2" data-path="criteo_ffm.html">
+            
+                <a href="criteo_ffm.html">
+            
+                    
+                        <b>6.8.2.</b>
+                    
+                    Field-Aware Factorization Machines
+            
+                </a>
+            
+
+            
+        </li>
+    
+
+            </ul>
+            
+        </li>
+    
 
     
         
@@ -2270,7 +2336,7 @@ Apache Hivemall is an effort undergoing incubation at The 
Apache Software Founda
     <script>
         var gitbook = gitbook || [];
         gitbook.push(function() {
-            gitbook.page.hasChanged({"page":{"title":"a9a 
Tutorial","level":"6.2","depth":1,"next":{"title":"Data 
preparation","level":"6.2.1","depth":2,"path":"binaryclass/a9a_dataset.md","ref":"binaryclass/a9a_dataset.md","articles":[]},"previous":{"title":"Binary
 
Classification","level":"6.1","depth":1,"path":"binaryclass/general.md","ref":"binaryclass/general.md","articles":[]},"dir":"ltr"},"config":{"plugins":["theme-api","edit-link","github","splitter","sitemap","etoc","callouts","toggle-chapters","anchorjs","codeblock-filename","expandable-chapters","multipart","codeblock-filename","katex","emphasize","localized-footer"],"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"pluginsConfig":{"emphasize":{},"callouts":{},"etoc":{"h2lb":3,"header":1,"maxdepth":3,"mindepth":1,"notoc":true},"github":{"url":"https://github.com/apache/incubator-hivemall/"},"splitter":{}
 
,"search":{},"downloadpdf":{"base":"https://github.com/apache/incubator-hivemall/docs/gitbook","label":"PDF","multilingual":false},"multipart":{},"localized-footer":{"filename":"FOOTER.md","hline":"true"},"lunr":{"maxIndexSize":1000000,"ignoreSpecialCharacters":false},"katex":{},"fontsettings":{"theme":"white","family":"sans","size":2,"font":"sans"},"highlight":{},"codeblock-filename":{},"sitemap":{"hostname":"http://hivemall.incubator.apache.org/"},"theme-api":{"languages":[],"split":false,"theme":"dark"},"sharing":{"facebook":true,"twitter":true,"google":false,"weibo":false,"instapaper":false,"vk":false,"all":["facebook","google","twitter","weibo","instapaper"]},"edit-link":{"label":"Edit","base":"https://github.com/apache/incubator-hivemall/tree/master/docs/gitbook"},"theme-default":{"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"showLevel":true},"anchorjs":{
 "selector":"h1,h2,h3,*:not(.callout) > 
h4,h5"},"toggle-chapters":{},"expandable-chapters":{}},"theme":"default","pdf":{"pageNumbers":true,"fontSize":12,"fontFamily":"Arial","paperSize":"a4","chapterMark":"pagebreak","pageBreaksBefore":"/","margin":{"right":62,"left":62,"top":56,"bottom":56}},"structure":{"langs":"LANGS.md","readme":"README.md","glossary":"GLOSSARY.md","summary":"SUMMARY.md"},"variables":{},"title":"Hivemall
 User Manual","links":{"sidebar":{"<i class=\"fa fa-home\"></i> 
Home":"http://hivemall.incubator.apache.org/"}},"gitbook":"3.x.x","description":"User
 Manual for Apache 
Hivemall"},"file":{"path":"binaryclass/a9a.md","mtime":"2017-12-11T08:48:01.124Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-06-06T09:01:20.330Z"},"basePath":"..","book":{"language":""}});
+            gitbook.page.hasChanged({"page":{"title":"a9a 
Tutorial","level":"6.2","depth":1,"next":{"title":"Data 
preparation","level":"6.2.1","depth":2,"path":"binaryclass/a9a_dataset.md","ref":"binaryclass/a9a_dataset.md","articles":[]},"previous":{"title":"Binary
 
Classification","level":"6.1","depth":1,"path":"binaryclass/general.md","ref":"binaryclass/general.md","articles":[]},"dir":"ltr"},"config":{"plugins":["theme-api","edit-link","github","splitter","sitemap","etoc","callouts","toggle-chapters","anchorjs","codeblock-filename","expandable-chapters","multipart","codeblock-filename","katex","emphasize","localized-footer"],"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"pluginsConfig":{"emphasize":{},"callouts":{},"etoc":{"h2lb":3,"header":1,"maxdepth":3,"mindepth":1,"notoc":true},"github":{"url":"https://github.com/apache/incubator-hivemall/"},"splitter":{}
 
,"search":{},"downloadpdf":{"base":"https://github.com/apache/incubator-hivemall/docs/gitbook","label":"PDF","multilingual":false},"multipart":{},"localized-footer":{"filename":"FOOTER.md","hline":"true"},"lunr":{"maxIndexSize":1000000,"ignoreSpecialCharacters":false},"katex":{},"fontsettings":{"theme":"white","family":"sans","size":2,"font":"sans"},"highlight":{},"codeblock-filename":{},"sitemap":{"hostname":"http://hivemall.incubator.apache.org/"},"theme-api":{"languages":[],"split":false,"theme":"dark"},"sharing":{"facebook":true,"twitter":true,"google":false,"weibo":false,"instapaper":false,"vk":false,"all":["facebook","google","twitter","weibo","instapaper"]},"edit-link":{"label":"Edit","base":"https://github.com/apache/incubator-hivemall/tree/master/docs/gitbook"},"theme-default":{"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"showLevel":true},"anchorjs":{
 "selector":"h1,h2,h3,*:not(.callout) > 
h4,h5"},"toggle-chapters":{},"expandable-chapters":{}},"theme":"default","pdf":{"pageNumbers":true,"fontSize":12,"fontFamily":"Arial","paperSize":"a4","chapterMark":"pagebreak","pageBreaksBefore":"/","margin":{"right":62,"left":62,"top":56,"bottom":56}},"structure":{"langs":"LANGS.md","readme":"README.md","glossary":"GLOSSARY.md","summary":"SUMMARY.md"},"variables":{},"title":"Hivemall
 User Manual","links":{"sidebar":{"<i class=\"fa fa-home\"></i> 
Home":"http://hivemall.incubator.apache.org/"}},"gitbook":"3.x.x","description":"User
 Manual for Apache 
Hivemall"},"file":{"path":"binaryclass/a9a.md","mtime":"2018-08-29T08:55:00.264Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-08-31T06:54:21.013Z"},"basePath":"..","book":{"language":""}});
         });
     </script>
 </div>
@@ -2300,7 +2366,7 @@ Apache Hivemall is an effort undergoing incubation at The 
Apache Software Founda
         
     
         
-        <script 
src="https://cdnjs.cloudflare.com/ajax/libs/anchor-js/4.1.0/anchor.min.js";></script>
+        <script 
src="https://cdnjs.cloudflare.com/ajax/libs/anchor-js/4.1.1/anchor.min.js";></script>
         
     
         

http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/6c6a1b42/userguide/binaryclass/a9a_dataset.html
----------------------------------------------------------------------
diff --git a/userguide/binaryclass/a9a_dataset.html 
b/userguide/binaryclass/a9a_dataset.html
index 87074a4..108f896 100644
--- a/userguide/binaryclass/a9a_dataset.html
+++ b/userguide/binaryclass/a9a_dataset.html
@@ -861,9 +861,9 @@
         
         
     
-        <li class="chapter " data-level="5.1" 
data-path="../misc/prediction.html">
+        <li class="chapter " data-level="5.1" 
data-path="../supervised_learning/prediction.html">
             
-                <a href="../misc/prediction.html">
+                <a href="../supervised_learning/prediction.html">
             
                     
                         <b>5.1.</b>
@@ -876,6 +876,21 @@
             
         </li>
     
+        <li class="chapter " data-level="5.2" 
data-path="../supervised_learning/tutorial.html">
+            
+                <a href="../supervised_learning/tutorial.html">
+            
+                    
+                        <b>5.2.</b>
+                    
+                    Step-by-Step Tutorial on Supervised Learning
+            
+                </a>
+            
+
+            
+        </li>
+    
 
     
         
@@ -1228,6 +1243,57 @@
             
         </li>
     
+        <li class="chapter " data-level="6.8" data-path="criteo.html">
+            
+                <a href="criteo.html">
+            
+                    
+                        <b>6.8.</b>
+                    
+                    Criteo Tutorial
+            
+                </a>
+            
+
+            
+            <ul class="articles">
+                
+    
+        <li class="chapter " data-level="6.8.1" 
data-path="criteo_dataset.html">
+            
+                <a href="criteo_dataset.html">
+            
+                    
+                        <b>6.8.1.</b>
+                    
+                    Data preparation
+            
+                </a>
+            
+
+            
+        </li>
+    
+        <li class="chapter " data-level="6.8.2" data-path="criteo_ffm.html">
+            
+                <a href="criteo_ffm.html">
+            
+                    
+                        <b>6.8.2.</b>
+                    
+                    Field-Aware Factorization Machines
+            
+                </a>
+            
+
+            
+        </li>
+    
+
+            </ul>
+            
+        </li>
+    
 
     
         
@@ -2219,7 +2285,7 @@
 <p><a 
href="http://www.csie.ntu.edu.tw/~cjlin/libsvmtools/datasets/binary.html#a9a"; 
target="_blank">http://www.csie.ntu.edu.tw/~cjlin/libsvmtools/datasets/binary.html#a9a</a></p>
 <hr>
 <h1 id="preparation">preparation</h1>
-<p><a 
href="https://raw.githubusercontent.com/myui/hivemall/master/resources/misc/conv.awk";
 target="_blank">conv.awk</a></p>
+<p><a 
href="https://raw.githubusercontent.com/apache/incubator-hivemall/master/resources/misc/conv.awk";
 target="_blank">conv.awk</a></p>
 <pre><code>cd /mnt/archive/datasets/classification/a9a
 awk -f conv.awk a9a | sed -e &quot;s/+1/1/&quot; | sed -e &quot;s/-1/0/&quot; 
&gt; a9a.train
 awk -f conv.awk a9a.t | sed -e &quot;s/+1/1/&quot; | sed -e 
&quot;s/-1/0/&quot; &gt; a9a.test
@@ -2300,7 +2366,7 @@ 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":"6.2.1","depth":2,"next":{"title":"Logistic 
Regression","level":"6.2.2","depth":2,"path":"binaryclass/a9a_lr.md","ref":"binaryclass/a9a_lr.md","articles":[]},"previous":{"title":"a9a
 
Tutorial","level":"6.2","depth":1,"path":"binaryclass/a9a.md","ref":"binaryclass/a9a.md","articles":[{"title":"Data
 
preparation","level":"6.2.1","depth":2,"path":"binaryclass/a9a_dataset.md","ref":"binaryclass/a9a_dataset.md","articles":[]},{"title":"Logistic
 
Regression","level":"6.2.2","depth":2,"path":"binaryclass/a9a_lr.md","ref":"binaryclass/a9a_lr.md","articles":[]},{"title":"Mini-batch
 gradient 
descent","level":"6.2.3","depth":2,"path":"binaryclass/a9a_minibatch.md","ref":"binaryclass/a9a_minibatch.md","articles":[]}]},"dir":"ltr"},"config":{"plugins":["theme-api","edit-link","github","splitter","sitemap","etoc","callouts","toggle-chapters","anchorjs","codeblock-filename","expandable-chapters","multipart","codeblock-fi
 
lename","katex","emphasize","localized-footer"],"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"pluginsConfig":{"emphasize":{},"callouts":{},"etoc":{"h2lb":3,"header":1,"maxdepth":3,"mindepth":1,"notoc":true},"github":{"url":"https://github.com/apache/incubator-hivemall/"},"splitter":{},"search":{},"downloadpdf":{"base":"https://github.com/apache/incubator-hivemall/docs/gitbook","label":"PDF","multilingual":false},"multipart":{},"localized-footer":{"filename":"FOOTER.md","hline":"true"},"lunr":{"maxIndexSize":1000000,"ignoreSpecialCharacters":false},"katex":{},"fontsettings":{"theme":"white","family":"sans","size":2,"font":"sans"},"highlight":{},"codeblock-filename":{},"sitemap":{"hostname":"http://hivemall.incubator.apache.org/"},"theme-api":{"languages":[],"split":false,"theme":"dark"},"sharing":{"facebook":true,"twitter":true,"google":false,"weibo":false,"inst
 
apaper":false,"vk":false,"all":["facebook","google","twitter","weibo","instapaper"]},"edit-link":{"label":"Edit","base":"https://github.com/apache/incubator-hivemall/tree/master/docs/gitbook"},"theme-default":{"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"showLevel":true},"anchorjs":{"selector":"h1,h2,h3,*:not(.callout)
 > 
h4,h5"},"toggle-chapters":{},"expandable-chapters":{}},"theme":"default","pdf":{"pageNumbers":true,"fontSize":12,"fontFamily":"Arial","paperSize":"a4","chapterMark":"pagebreak","pageBreaksBefore":"/","margin":{"right":62,"left":62,"top":56,"bottom":56}},"structure":{"langs":"LANGS.md","readme":"README.md","glossary":"GLOSSARY.md","summary":"SUMMARY.md"},"variables":{},"title":"Hivemall
 User Manual","links":{"sidebar":{"<i class=\"fa fa-home\"></i> 
Home":"http://hivemall.incubator.apache.org/"}},"gitbook":"3.x.x","description":"User
 Manual for 
 Apache 
Hivemall"},"file":{"path":"binaryclass/a9a_dataset.md","mtime":"2018-05-25T05:01:42.915Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-06-06T09:01:20.330Z"},"basePath":"..","book":{"language":""}});
+            gitbook.page.hasChanged({"page":{"title":"Data 
preparation","level":"6.2.1","depth":2,"next":{"title":"Logistic 
Regression","level":"6.2.2","depth":2,"path":"binaryclass/a9a_lr.md","ref":"binaryclass/a9a_lr.md","articles":[]},"previous":{"title":"a9a
 
Tutorial","level":"6.2","depth":1,"path":"binaryclass/a9a.md","ref":"binaryclass/a9a.md","articles":[{"title":"Data
 
preparation","level":"6.2.1","depth":2,"path":"binaryclass/a9a_dataset.md","ref":"binaryclass/a9a_dataset.md","articles":[]},{"title":"Logistic
 
Regression","level":"6.2.2","depth":2,"path":"binaryclass/a9a_lr.md","ref":"binaryclass/a9a_lr.md","articles":[]},{"title":"Mini-batch
 gradient 
descent","level":"6.2.3","depth":2,"path":"binaryclass/a9a_minibatch.md","ref":"binaryclass/a9a_minibatch.md","articles":[]}]},"dir":"ltr"},"config":{"plugins":["theme-api","edit-link","github","splitter","sitemap","etoc","callouts","toggle-chapters","anchorjs","codeblock-filename","expandable-chapters","multipart","codeblock-fi
 
lename","katex","emphasize","localized-footer"],"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"pluginsConfig":{"emphasize":{},"callouts":{},"etoc":{"h2lb":3,"header":1,"maxdepth":3,"mindepth":1,"notoc":true},"github":{"url":"https://github.com/apache/incubator-hivemall/"},"splitter":{},"search":{},"downloadpdf":{"base":"https://github.com/apache/incubator-hivemall/docs/gitbook","label":"PDF","multilingual":false},"multipart":{},"localized-footer":{"filename":"FOOTER.md","hline":"true"},"lunr":{"maxIndexSize":1000000,"ignoreSpecialCharacters":false},"katex":{},"fontsettings":{"theme":"white","family":"sans","size":2,"font":"sans"},"highlight":{},"codeblock-filename":{},"sitemap":{"hostname":"http://hivemall.incubator.apache.org/"},"theme-api":{"languages":[],"split":false,"theme":"dark"},"sharing":{"facebook":true,"twitter":true,"google":false,"weibo":false,"inst
 
apaper":false,"vk":false,"all":["facebook","google","twitter","weibo","instapaper"]},"edit-link":{"label":"Edit","base":"https://github.com/apache/incubator-hivemall/tree/master/docs/gitbook"},"theme-default":{"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"showLevel":true},"anchorjs":{"selector":"h1,h2,h3,*:not(.callout)
 > 
h4,h5"},"toggle-chapters":{},"expandable-chapters":{}},"theme":"default","pdf":{"pageNumbers":true,"fontSize":12,"fontFamily":"Arial","paperSize":"a4","chapterMark":"pagebreak","pageBreaksBefore":"/","margin":{"right":62,"left":62,"top":56,"bottom":56}},"structure":{"langs":"LANGS.md","readme":"README.md","glossary":"GLOSSARY.md","summary":"SUMMARY.md"},"variables":{},"title":"Hivemall
 User Manual","links":{"sidebar":{"<i class=\"fa fa-home\"></i> 
Home":"http://hivemall.incubator.apache.org/"}},"gitbook":"3.x.x","description":"User
 Manual for 
 Apache 
Hivemall"},"file":{"path":"binaryclass/a9a_dataset.md","mtime":"2018-08-29T08:55:00.264Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-08-31T06:54:21.013Z"},"basePath":"..","book":{"language":""}});
         });
     </script>
 </div>
@@ -2330,7 +2396,7 @@ Apache Hivemall is an effort undergoing incubation at The 
Apache Software Founda
         
     
         
-        <script 
src="https://cdnjs.cloudflare.com/ajax/libs/anchor-js/4.1.0/anchor.min.js";></script>
+        <script 
src="https://cdnjs.cloudflare.com/ajax/libs/anchor-js/4.1.1/anchor.min.js";></script>
         
     
         

http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/6c6a1b42/userguide/binaryclass/a9a_lr.html
----------------------------------------------------------------------
diff --git a/userguide/binaryclass/a9a_lr.html 
b/userguide/binaryclass/a9a_lr.html
index 1a70f44..0d8c314 100644
--- a/userguide/binaryclass/a9a_lr.html
+++ b/userguide/binaryclass/a9a_lr.html
@@ -861,9 +861,9 @@
         
         
     
-        <li class="chapter " data-level="5.1" 
data-path="../misc/prediction.html">
+        <li class="chapter " data-level="5.1" 
data-path="../supervised_learning/prediction.html">
             
-                <a href="../misc/prediction.html">
+                <a href="../supervised_learning/prediction.html">
             
                     
                         <b>5.1.</b>
@@ -876,6 +876,21 @@
             
         </li>
     
+        <li class="chapter " data-level="5.2" 
data-path="../supervised_learning/tutorial.html">
+            
+                <a href="../supervised_learning/tutorial.html">
+            
+                    
+                        <b>5.2.</b>
+                    
+                    Step-by-Step Tutorial on Supervised Learning
+            
+                </a>
+            
+
+            
+        </li>
+    
 
     
         
@@ -1228,6 +1243,57 @@
             
         </li>
     
+        <li class="chapter " data-level="6.8" data-path="criteo.html">
+            
+                <a href="criteo.html">
+            
+                    
+                        <b>6.8.</b>
+                    
+                    Criteo Tutorial
+            
+                </a>
+            
+
+            
+            <ul class="articles">
+                
+    
+        <li class="chapter " data-level="6.8.1" 
data-path="criteo_dataset.html">
+            
+                <a href="criteo_dataset.html">
+            
+                    
+                        <b>6.8.1.</b>
+                    
+                    Data preparation
+            
+                </a>
+            
+
+            
+        </li>
+    
+        <li class="chapter " data-level="6.8.2" data-path="criteo_ffm.html">
+            
+                <a href="criteo_ffm.html">
+            
+                    
+                        <b>6.8.2.</b>
+                    
+                    Field-Aware Factorization Machines
+            
+                </a>
+            
+
+            
+        </li>
+    
+
+            </ul>
+            
+        </li>
+    
 
     
         
@@ -2341,7 +2407,7 @@ Apache Hivemall is an effort undergoing incubation at The 
Apache Software Founda
     <script>
         var gitbook = gitbook || [];
         gitbook.push(function() {
-            gitbook.page.hasChanged({"page":{"title":"Logistic 
Regression","level":"6.2.2","depth":2,"next":{"title":"Mini-batch gradient 
descent","level":"6.2.3","depth":2,"path":"binaryclass/a9a_minibatch.md","ref":"binaryclass/a9a_minibatch.md","articles":[]},"previous":{"title":"Data
 
preparation","level":"6.2.1","depth":2,"path":"binaryclass/a9a_dataset.md","ref":"binaryclass/a9a_dataset.md","articles":[]},"dir":"ltr"},"config":{"plugins":["theme-api","edit-link","github","splitter","sitemap","etoc","callouts","toggle-chapters","anchorjs","codeblock-filename","expandable-chapters","multipart","codeblock-filename","katex","emphasize","localized-footer"],"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"pluginsConfig":{"emphasize":{},"callouts":{},"etoc":{"h2lb":3,"header":1,"maxdepth":3,"mindepth":1,"notoc":true},"github":{"url":"https://github.com/apache/incuba
 
tor-hivemall/"},"splitter":{},"search":{},"downloadpdf":{"base":"https://github.com/apache/incubator-hivemall/docs/gitbook","label":"PDF","multilingual":false},"multipart":{},"localized-footer":{"filename":"FOOTER.md","hline":"true"},"lunr":{"maxIndexSize":1000000,"ignoreSpecialCharacters":false},"katex":{},"fontsettings":{"theme":"white","family":"sans","size":2,"font":"sans"},"highlight":{},"codeblock-filename":{},"sitemap":{"hostname":"http://hivemall.incubator.apache.org/"},"theme-api":{"languages":[],"split":false,"theme":"dark"},"sharing":{"facebook":true,"twitter":true,"google":false,"weibo":false,"instapaper":false,"vk":false,"all":["facebook","google","twitter","weibo","instapaper"]},"edit-link":{"label":"Edit","base":"https://github.com/apache/incubator-hivemall/tree/master/docs/gitbook"},"theme-default":{"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},";
 showLevel":true},"anchorjs":{"selector":"h1,h2,h3,*:not(.callout) > 
h4,h5"},"toggle-chapters":{},"expandable-chapters":{}},"theme":"default","pdf":{"pageNumbers":true,"fontSize":12,"fontFamily":"Arial","paperSize":"a4","chapterMark":"pagebreak","pageBreaksBefore":"/","margin":{"right":62,"left":62,"top":56,"bottom":56}},"structure":{"langs":"LANGS.md","readme":"README.md","glossary":"GLOSSARY.md","summary":"SUMMARY.md"},"variables":{},"title":"Hivemall
 User Manual","links":{"sidebar":{"<i class=\"fa fa-home\"></i> 
Home":"http://hivemall.incubator.apache.org/"}},"gitbook":"3.x.x","description":"User
 Manual for Apache 
Hivemall"},"file":{"path":"binaryclass/a9a_lr.md","mtime":"2017-12-11T08:48:01.125Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-06-06T09:01:20.330Z"},"basePath":"..","book":{"language":""}});
+            gitbook.page.hasChanged({"page":{"title":"Logistic 
Regression","level":"6.2.2","depth":2,"next":{"title":"Mini-batch gradient 
descent","level":"6.2.3","depth":2,"path":"binaryclass/a9a_minibatch.md","ref":"binaryclass/a9a_minibatch.md","articles":[]},"previous":{"title":"Data
 
preparation","level":"6.2.1","depth":2,"path":"binaryclass/a9a_dataset.md","ref":"binaryclass/a9a_dataset.md","articles":[]},"dir":"ltr"},"config":{"plugins":["theme-api","edit-link","github","splitter","sitemap","etoc","callouts","toggle-chapters","anchorjs","codeblock-filename","expandable-chapters","multipart","codeblock-filename","katex","emphasize","localized-footer"],"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"pluginsConfig":{"emphasize":{},"callouts":{},"etoc":{"h2lb":3,"header":1,"maxdepth":3,"mindepth":1,"notoc":true},"github":{"url":"https://github.com/apache/incuba
 
tor-hivemall/"},"splitter":{},"search":{},"downloadpdf":{"base":"https://github.com/apache/incubator-hivemall/docs/gitbook","label":"PDF","multilingual":false},"multipart":{},"localized-footer":{"filename":"FOOTER.md","hline":"true"},"lunr":{"maxIndexSize":1000000,"ignoreSpecialCharacters":false},"katex":{},"fontsettings":{"theme":"white","family":"sans","size":2,"font":"sans"},"highlight":{},"codeblock-filename":{},"sitemap":{"hostname":"http://hivemall.incubator.apache.org/"},"theme-api":{"languages":[],"split":false,"theme":"dark"},"sharing":{"facebook":true,"twitter":true,"google":false,"weibo":false,"instapaper":false,"vk":false,"all":["facebook","google","twitter","weibo","instapaper"]},"edit-link":{"label":"Edit","base":"https://github.com/apache/incubator-hivemall/tree/master/docs/gitbook"},"theme-default":{"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},";
 showLevel":true},"anchorjs":{"selector":"h1,h2,h3,*:not(.callout) > 
h4,h5"},"toggle-chapters":{},"expandable-chapters":{}},"theme":"default","pdf":{"pageNumbers":true,"fontSize":12,"fontFamily":"Arial","paperSize":"a4","chapterMark":"pagebreak","pageBreaksBefore":"/","margin":{"right":62,"left":62,"top":56,"bottom":56}},"structure":{"langs":"LANGS.md","readme":"README.md","glossary":"GLOSSARY.md","summary":"SUMMARY.md"},"variables":{},"title":"Hivemall
 User Manual","links":{"sidebar":{"<i class=\"fa fa-home\"></i> 
Home":"http://hivemall.incubator.apache.org/"}},"gitbook":"3.x.x","description":"User
 Manual for Apache 
Hivemall"},"file":{"path":"binaryclass/a9a_lr.md","mtime":"2018-08-29T08:55:00.264Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-08-31T06:54:21.013Z"},"basePath":"..","book":{"language":""}});
         });
     </script>
 </div>
@@ -2371,7 +2437,7 @@ Apache Hivemall is an effort undergoing incubation at The 
Apache Software Founda
         
     
         
-        <script 
src="https://cdnjs.cloudflare.com/ajax/libs/anchor-js/4.1.0/anchor.min.js";></script>
+        <script 
src="https://cdnjs.cloudflare.com/ajax/libs/anchor-js/4.1.1/anchor.min.js";></script>
         
     
         

http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/6c6a1b42/userguide/binaryclass/a9a_minibatch.html
----------------------------------------------------------------------
diff --git a/userguide/binaryclass/a9a_minibatch.html 
b/userguide/binaryclass/a9a_minibatch.html
index 0a24b74..a630efe 100644
--- a/userguide/binaryclass/a9a_minibatch.html
+++ b/userguide/binaryclass/a9a_minibatch.html
@@ -861,9 +861,9 @@
         
         
     
-        <li class="chapter " data-level="5.1" 
data-path="../misc/prediction.html">
+        <li class="chapter " data-level="5.1" 
data-path="../supervised_learning/prediction.html">
             
-                <a href="../misc/prediction.html">
+                <a href="../supervised_learning/prediction.html">
             
                     
                         <b>5.1.</b>
@@ -876,6 +876,21 @@
             
         </li>
     
+        <li class="chapter " data-level="5.2" 
data-path="../supervised_learning/tutorial.html">
+            
+                <a href="../supervised_learning/tutorial.html">
+            
+                    
+                        <b>5.2.</b>
+                    
+                    Step-by-Step Tutorial on Supervised Learning
+            
+                </a>
+            
+
+            
+        </li>
+    
 
     
         
@@ -1228,6 +1243,57 @@
             
         </li>
     
+        <li class="chapter " data-level="6.8" data-path="criteo.html">
+            
+                <a href="criteo.html">
+            
+                    
+                        <b>6.8.</b>
+                    
+                    Criteo Tutorial
+            
+                </a>
+            
+
+            
+            <ul class="articles">
+                
+    
+        <li class="chapter " data-level="6.8.1" 
data-path="criteo_dataset.html">
+            
+                <a href="criteo_dataset.html">
+            
+                    
+                        <b>6.8.1.</b>
+                    
+                    Data preparation
+            
+                </a>
+            
+
+            
+        </li>
+    
+        <li class="chapter " data-level="6.8.2" data-path="criteo_ffm.html">
+            
+                <a href="criteo_ffm.html">
+            
+                    
+                        <b>6.8.2.</b>
+                    
+                    Field-Aware Factorization Machines
+            
+                </a>
+            
+
+            
+        </li>
+    
+
+            </ul>
+            
+        </li>
+    
 
     
         
@@ -2308,7 +2374,7 @@ Apache Hivemall is an effort undergoing incubation at The 
Apache Software Founda
     <script>
         var gitbook = gitbook || [];
         gitbook.push(function() {
-            gitbook.page.hasChanged({"page":{"title":"Mini-batch gradient 
descent","level":"6.2.3","depth":2,"next":{"title":"News20 
Tutorial","level":"6.3","depth":1,"path":"binaryclass/news20.md","ref":"binaryclass/news20.md","articles":[{"title":"Data
 
preparation","level":"6.3.1","depth":2,"path":"binaryclass/news20_dataset.md","ref":"binaryclass/news20_dataset.md","articles":[]},{"title":"Perceptron,
 Passive 
Aggressive","level":"6.3.2","depth":2,"path":"binaryclass/news20_pa.md","ref":"binaryclass/news20_pa.md","articles":[]},{"title":"CW,
 AROW, 
SCW","level":"6.3.3","depth":2,"path":"binaryclass/news20_scw.md","ref":"binaryclass/news20_scw.md","articles":[]},{"title":"AdaGradRDA,
 AdaGrad, 
AdaDelta","level":"6.3.4","depth":2,"path":"binaryclass/news20_adagrad.md","ref":"binaryclass/news20_adagrad.md","articles":[]},{"title":"Random
 
Forest","level":"6.3.5","depth":2,"path":"binaryclass/news20_rf.md","ref":"binaryclass/news20_rf.md","articles":[]}]},"previous":{"title":"Logistic
 Re
 
gression","level":"6.2.2","depth":2,"path":"binaryclass/a9a_lr.md","ref":"binaryclass/a9a_lr.md","articles":[]},"dir":"ltr"},"config":{"plugins":["theme-api","edit-link","github","splitter","sitemap","etoc","callouts","toggle-chapters","anchorjs","codeblock-filename","expandable-chapters","multipart","codeblock-filename","katex","emphasize","localized-footer"],"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"pluginsConfig":{"emphasize":{},"callouts":{},"etoc":{"h2lb":3,"header":1,"maxdepth":3,"mindepth":1,"notoc":true},"github":{"url":"https://github.com/apache/incubator-hivemall/"},"splitter":{},"search":{},"downloadpdf":{"base":"https://github.com/apache/incubator-hivemall/docs/gitbook","label":"PDF","multilingual":false},"multipart":{},"localized-footer":{"filename":"FOOTER.md","hline":"true"},"lunr":{"maxIndexSize":1000000,"ignoreSpecialCharacters":false},"kat
 
ex":{},"fontsettings":{"theme":"white","family":"sans","size":2,"font":"sans"},"highlight":{},"codeblock-filename":{},"sitemap":{"hostname":"http://hivemall.incubator.apache.org/"},"theme-api":{"languages":[],"split":false,"theme":"dark"},"sharing":{"facebook":true,"twitter":true,"google":false,"weibo":false,"instapaper":false,"vk":false,"all":["facebook","google","twitter","weibo","instapaper"]},"edit-link":{"label":"Edit","base":"https://github.com/apache/incubator-hivemall/tree/master/docs/gitbook"},"theme-default":{"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"showLevel":true},"anchorjs":{"selector":"h1,h2,h3,*:not(.callout)
 > 
h4,h5"},"toggle-chapters":{},"expandable-chapters":{}},"theme":"default","pdf":{"pageNumbers":true,"fontSize":12,"fontFamily":"Arial","paperSize":"a4","chapterMark":"pagebreak","pageBreaksBefore":"/","margin":{"right":62,"left":62,"to
 
p":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":"binaryclass/a9a_minibatch.md","mtime":"2017-12-11T08:48:01.125Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-06-06T09:01:20.330Z"},"basePath":"..","book":{"language":""}});
+            gitbook.page.hasChanged({"page":{"title":"Mini-batch gradient 
descent","level":"6.2.3","depth":2,"next":{"title":"News20 
Tutorial","level":"6.3","depth":1,"path":"binaryclass/news20.md","ref":"binaryclass/news20.md","articles":[{"title":"Data
 
preparation","level":"6.3.1","depth":2,"path":"binaryclass/news20_dataset.md","ref":"binaryclass/news20_dataset.md","articles":[]},{"title":"Perceptron,
 Passive 
Aggressive","level":"6.3.2","depth":2,"path":"binaryclass/news20_pa.md","ref":"binaryclass/news20_pa.md","articles":[]},{"title":"CW,
 AROW, 
SCW","level":"6.3.3","depth":2,"path":"binaryclass/news20_scw.md","ref":"binaryclass/news20_scw.md","articles":[]},{"title":"AdaGradRDA,
 AdaGrad, 
AdaDelta","level":"6.3.4","depth":2,"path":"binaryclass/news20_adagrad.md","ref":"binaryclass/news20_adagrad.md","articles":[]},{"title":"Random
 
Forest","level":"6.3.5","depth":2,"path":"binaryclass/news20_rf.md","ref":"binaryclass/news20_rf.md","articles":[]}]},"previous":{"title":"Logistic
 Re
 
gression","level":"6.2.2","depth":2,"path":"binaryclass/a9a_lr.md","ref":"binaryclass/a9a_lr.md","articles":[]},"dir":"ltr"},"config":{"plugins":["theme-api","edit-link","github","splitter","sitemap","etoc","callouts","toggle-chapters","anchorjs","codeblock-filename","expandable-chapters","multipart","codeblock-filename","katex","emphasize","localized-footer"],"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"pluginsConfig":{"emphasize":{},"callouts":{},"etoc":{"h2lb":3,"header":1,"maxdepth":3,"mindepth":1,"notoc":true},"github":{"url":"https://github.com/apache/incubator-hivemall/"},"splitter":{},"search":{},"downloadpdf":{"base":"https://github.com/apache/incubator-hivemall/docs/gitbook","label":"PDF","multilingual":false},"multipart":{},"localized-footer":{"filename":"FOOTER.md","hline":"true"},"lunr":{"maxIndexSize":1000000,"ignoreSpecialCharacters":false},"kat
 
ex":{},"fontsettings":{"theme":"white","family":"sans","size":2,"font":"sans"},"highlight":{},"codeblock-filename":{},"sitemap":{"hostname":"http://hivemall.incubator.apache.org/"},"theme-api":{"languages":[],"split":false,"theme":"dark"},"sharing":{"facebook":true,"twitter":true,"google":false,"weibo":false,"instapaper":false,"vk":false,"all":["facebook","google","twitter","weibo","instapaper"]},"edit-link":{"label":"Edit","base":"https://github.com/apache/incubator-hivemall/tree/master/docs/gitbook"},"theme-default":{"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"showLevel":true},"anchorjs":{"selector":"h1,h2,h3,*:not(.callout)
 > 
h4,h5"},"toggle-chapters":{},"expandable-chapters":{}},"theme":"default","pdf":{"pageNumbers":true,"fontSize":12,"fontFamily":"Arial","paperSize":"a4","chapterMark":"pagebreak","pageBreaksBefore":"/","margin":{"right":62,"left":62,"to
 
p":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":"binaryclass/a9a_minibatch.md","mtime":"2018-08-29T08:55:00.264Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-08-31T06:54:21.013Z"},"basePath":"..","book":{"language":""}});
         });
     </script>
 </div>
@@ -2338,7 +2404,7 @@ Apache Hivemall is an effort undergoing incubation at The 
Apache Software Founda
         
     
         
-        <script 
src="https://cdnjs.cloudflare.com/ajax/libs/anchor-js/4.1.0/anchor.min.js";></script>
+        <script 
src="https://cdnjs.cloudflare.com/ajax/libs/anchor-js/4.1.1/anchor.min.js";></script>
         
     
         

Reply via email to