You are viewing a plain text version of this content. The canonical link for it is here.
Posted to commits@hivemall.apache.org by my...@apache.org on 2018/08/31 07:01:01 UTC
[01/20] incubator-hivemall-site git commit: Added criteo example and
step-by-step guide for general classifier/regressor
Repository: incubator-hivemall-site
Updated Branches:
refs/heads/asf-site e1e876db9 -> 6c6a1b421
http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/6c6a1b42/userguide/tips/rt_prediction.html
----------------------------------------------------------------------
diff --git a/userguide/tips/rt_prediction.html b/userguide/tips/rt_prediction.html
index f026457..e8dc3e2 100644
--- a/userguide/tips/rt_prediction.html
+++ b/userguide/tips/rt_prediction.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>
+
@@ -2459,7 +2525,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
<script>
var gitbook = gitbook || [];
gitbook.push(function() {
- gitbook.page.hasChanged({"page":{"title":"Real-time prediction on RDBMS","level":"1.4.3","depth":2,"next":{"title":"Ensemble learning for stable prediction","level":"1.4.4","depth":2,"path":"tips/ensemble_learning.md","ref":"tips/ensemble_learning.md","articles":[]},"previous":{"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":[]},"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":"tips/rt_prediction.md","mtime":"2017-12-11T08:48:01.152Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-06-06T09:01:20.330Z"},"basePath":"..","book":{"language":""}});
+ gitbook.page.hasChanged({"page":{"title":"Real-time prediction on RDBMS","level":"1.4.3","depth":2,"next":{"title":"Ensemble learning for stable prediction","level":"1.4.4","depth":2,"path":"tips/ensemble_learning.md","ref":"tips/ensemble_learning.md","articles":[]},"previous":{"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":[]},"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":"tips/rt_prediction.md","mtime":"2018-08-29T08:55:00.297Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-08-31T06:54:21.013Z"},"basePath":"..","book":{"language":""}});
});
</script>
</div>
@@ -2489,7 +2555,7 @@ 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/troubleshooting/asterisk.html
----------------------------------------------------------------------
diff --git a/userguide/troubleshooting/asterisk.html b/userguide/troubleshooting/asterisk.html
index f9d3ece..52cfbce 100644
--- a/userguide/troubleshooting/asterisk.html
+++ b/userguide/troubleshooting/asterisk.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>
+
@@ -2272,7 +2338,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
<script>
var gitbook = gitbook || [];
gitbook.push(function() {
- gitbook.page.hasChanged({"page":{"title":"Asterisk argument for UDTF does not work","level":"1.6.3","depth":2,"next":{"title":"The number of mappers is less than input splits in Hadoop 2.x","level":"1.6.4","depth":2,"path":"troubleshooting/num_mappers.md","ref":"troubleshooting/num_mappers.md","articles":[]},"previous":{"title":"SemanticException generate map join task error: Cannot serialize object","level":"1.6.2","depth":2,"path":"troubleshooting/mapjoin_task_error.md","ref":"troubleshooting/mapjoin_task_error.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/websit
e.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":"troubleshooting/asterisk.md","mtime":"2017-12-11T08:48:01.153Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-06-06T09:01:20.330Z"},"basePath":"..","book":{"language":""}});
+ gitbook.page.hasChanged({"page":{"title":"Asterisk argument for UDTF does not work","level":"1.6.3","depth":2,"next":{"title":"The number of mappers is less than input splits in Hadoop 2.x","level":"1.6.4","depth":2,"path":"troubleshooting/num_mappers.md","ref":"troubleshooting/num_mappers.md","articles":[]},"previous":{"title":"SemanticException generate map join task error: Cannot serialize object","level":"1.6.2","depth":2,"path":"troubleshooting/mapjoin_task_error.md","ref":"troubleshooting/mapjoin_task_error.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/websit
e.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":"troubleshooting/asterisk.md","mtime":"2018-08-29T08:55:00.298Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-08-31T06:54:21.013Z"},"basePath":"..","book":{"language":""}});
});
</script>
</div>
@@ -2302,7 +2368,7 @@ 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/troubleshooting/index.html
----------------------------------------------------------------------
diff --git a/userguide/troubleshooting/index.html b/userguide/troubleshooting/index.html
index d70b6e0..6853921 100644
--- a/userguide/troubleshooting/index.html
+++ b/userguide/troubleshooting/index.html
@@ -861,9 +861,9 @@
- <li class="chapter " data-level="5.1" data-path="../misc/prediction.html">
+ <li class="chapter " data-level="5.1" data-path="../supervised_learning/prediction.html">
- <a href="../misc/prediction.html">
+ <a href="../supervised_learning/prediction.html">
<b>5.1.</b>
@@ -876,6 +876,21 @@
</li>
+ <li class="chapter " data-level="5.2" data-path="../supervised_learning/tutorial.html">
+
+ <a href="../supervised_learning/tutorial.html">
+
+
+ <b>5.2.</b>
+
+ Step-by-Step Tutorial on Supervised Learning
+
+ </a>
+
+
+
+ </li>
+
@@ -1228,6 +1243,57 @@
</li>
+ <li class="chapter " data-level="6.8" data-path="../binaryclass/criteo.html">
+
+ <a href="../binaryclass/criteo.html">
+
+
+ <b>6.8.</b>
+
+ Criteo Tutorial
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="6.8.1" data-path="../binaryclass/criteo_dataset.html">
+
+ <a href="../binaryclass/criteo_dataset.html">
+
+
+ <b>6.8.1.</b>
+
+ Data preparation
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="6.8.2" data-path="../binaryclass/criteo_ffm.html">
+
+ <a href="../binaryclass/criteo_ffm.html">
+
+
+ <b>6.8.2.</b>
+
+ Field-Aware Factorization Machines
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
@@ -2270,7 +2336,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
<script>
var gitbook = gitbook || [];
gitbook.push(function() {
- gitbook.page.hasChanged({"page":{"title":"Troubleshooting","level":"1.6","depth":1,"next":{"title":"OutOfMemoryError in training","level":"1.6.1","depth":2,"path":"troubleshooting/oom.md","ref":"troubleshooting/oom.md","articles":[]},"previous":{"title":"Hadoop tuning for Hivemall","level":"1.5.2","depth":2,"path":"tips/hadoop_tuning.md","ref":"tips/hadoop_tuning.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":"troubleshooting/README.md","mtime":"2017-12-11T08:48:01.152Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-06-06T09:01:20.330Z"},"basePath":"..","book":{"language":""}});
+ gitbook.page.hasChanged({"page":{"title":"Troubleshooting","level":"1.6","depth":1,"next":{"title":"OutOfMemoryError in training","level":"1.6.1","depth":2,"path":"troubleshooting/oom.md","ref":"troubleshooting/oom.md","articles":[]},"previous":{"title":"Hadoop tuning for Hivemall","level":"1.5.2","depth":2,"path":"tips/hadoop_tuning.md","ref":"tips/hadoop_tuning.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":"troubleshooting/README.md","mtime":"2018-08-29T08:55:00.297Z","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/troubleshooting/mapjoin_classcastex.html
----------------------------------------------------------------------
diff --git a/userguide/troubleshooting/mapjoin_classcastex.html b/userguide/troubleshooting/mapjoin_classcastex.html
index 780d152..9de8be6 100644
--- a/userguide/troubleshooting/mapjoin_classcastex.html
+++ b/userguide/troubleshooting/mapjoin_classcastex.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>
+
@@ -2275,7 +2341,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
<script>
var gitbook = gitbook || [];
gitbook.push(function() {
- gitbook.page.hasChanged({"page":{"title":"Map-side join causes ClassCastException on Tez","level":"1.6.5","depth":2,"next":{"title":"List of Generic Hivemall Functions","level":"2.1","depth":1,"path":"misc/generic_funcs.md","ref":"misc/generic_funcs.md","articles":[]},"previous":{"title":"The number of mappers is less than input splits in Hadoop 2.x","level":"1.6.4","depth":2,"path":"troubleshooting/num_mappers.md","ref":"troubleshooting/num_mappers.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,"mind
epth":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":"st
yles/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":"troubleshooting/mapjoin_classcastex.md","mtime":"2017-12-11T08:48:01.153Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-06-06T09:01:20.330Z"},"basePath":"..","book":{"language":""}});
+ gitbook.page.hasChanged({"page":{"title":"Map-side join causes ClassCastException on Tez","level":"1.6.5","depth":2,"next":{"title":"List of Generic Hivemall Functions","level":"2.1","depth":1,"path":"misc/generic_funcs.md","ref":"misc/generic_funcs.md","articles":[]},"previous":{"title":"The number of mappers is less than input splits in Hadoop 2.x","level":"1.6.4","depth":2,"path":"troubleshooting/num_mappers.md","ref":"troubleshooting/num_mappers.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,"mind
epth":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":"st
yles/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":"troubleshooting/mapjoin_classcastex.md","mtime":"2018-08-29T08:55:00.298Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-08-31T06:54:21.013Z"},"basePath":"..","book":{"language":""}});
});
</script>
</div>
@@ -2305,7 +2371,7 @@ 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/troubleshooting/mapjoin_task_error.html
----------------------------------------------------------------------
diff --git a/userguide/troubleshooting/mapjoin_task_error.html b/userguide/troubleshooting/mapjoin_task_error.html
index 812897a..39ca2c0 100644
--- a/userguide/troubleshooting/mapjoin_task_error.html
+++ b/userguide/troubleshooting/mapjoin_task_error.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>
+
@@ -2274,7 +2340,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
<script>
var gitbook = gitbook || [];
gitbook.push(function() {
- gitbook.page.hasChanged({"page":{"title":"SemanticException generate map join task error: Cannot serialize object","level":"1.6.2","depth":2,"next":{"title":"Asterisk argument for UDTF does not work","level":"1.6.3","depth":2,"path":"troubleshooting/asterisk.md","ref":"troubleshooting/asterisk.md","articles":[]},"previous":{"title":"OutOfMemoryError in training","level":"1.6.1","depth":2,"path":"troubleshooting/oom.md","ref":"troubleshooting/oom.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":"troubleshooting/mapjoin_task_error.md","mtime":"2017-12-11T08:48:01.153Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-06-06T09:01:20.330Z"},"basePath":"..","book":{"language":""}});
+ gitbook.page.hasChanged({"page":{"title":"SemanticException generate map join task error: Cannot serialize object","level":"1.6.2","depth":2,"next":{"title":"Asterisk argument for UDTF does not work","level":"1.6.3","depth":2,"path":"troubleshooting/asterisk.md","ref":"troubleshooting/asterisk.md","articles":[]},"previous":{"title":"OutOfMemoryError in training","level":"1.6.1","depth":2,"path":"troubleshooting/oom.md","ref":"troubleshooting/oom.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":"troubleshooting/mapjoin_task_error.md","mtime":"2018-08-29T08:55:00.298Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-08-31T06:54:21.013Z"},"basePath":"..","book":{"language":""}});
});
</script>
</div>
@@ -2304,7 +2370,7 @@ 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/troubleshooting/num_mappers.html
----------------------------------------------------------------------
diff --git a/userguide/troubleshooting/num_mappers.html b/userguide/troubleshooting/num_mappers.html
index f5c3f78..372f063 100644
--- a/userguide/troubleshooting/num_mappers.html
+++ b/userguide/troubleshooting/num_mappers.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>
+
@@ -2282,7 +2348,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
<script>
var gitbook = gitbook || [];
gitbook.push(function() {
- gitbook.page.hasChanged({"page":{"title":"The number of mappers is less than input splits in Hadoop 2.x","level":"1.6.4","depth":2,"next":{"title":"Map-side join causes ClassCastException on Tez","level":"1.6.5","depth":2,"path":"troubleshooting/mapjoin_classcastex.md","ref":"troubleshooting/mapjoin_classcastex.md","articles":[]},"previous":{"title":"Asterisk argument for UDTF does not work","level":"1.6.3","depth":2,"path":"troubleshooting/asterisk.md","ref":"troubleshooting/asterisk.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":{"h
2lb":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":"troubleshooting/num_mappers.md","mtime":"2017-12-11T08:48:01.153Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-06-06T09:01:20.330Z"},"basePath":"..","book":{"language":""}});
+ gitbook.page.hasChanged({"page":{"title":"The number of mappers is less than input splits in Hadoop 2.x","level":"1.6.4","depth":2,"next":{"title":"Map-side join causes ClassCastException on Tez","level":"1.6.5","depth":2,"path":"troubleshooting/mapjoin_classcastex.md","ref":"troubleshooting/mapjoin_classcastex.md","articles":[]},"previous":{"title":"Asterisk argument for UDTF does not work","level":"1.6.3","depth":2,"path":"troubleshooting/asterisk.md","ref":"troubleshooting/asterisk.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":{"h
2lb":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":"troubleshooting/num_mappers.md","mtime":"2018-08-29T08:55:00.298Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-08-31T06:54:21.013Z"},"basePath":"..","book":{"language":""}});
});
</script>
</div>
@@ -2312,7 +2378,7 @@ 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/troubleshooting/oom.html
----------------------------------------------------------------------
diff --git a/userguide/troubleshooting/oom.html b/userguide/troubleshooting/oom.html
index 67c8723..0496531 100644
--- a/userguide/troubleshooting/oom.html
+++ b/userguide/troubleshooting/oom.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>
+
@@ -2280,7 +2346,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
<script>
var gitbook = gitbook || [];
gitbook.push(function() {
- gitbook.page.hasChanged({"page":{"title":"OutOfMemoryError in training","level":"1.6.1","depth":2,"next":{"title":"SemanticException generate map join task error: Cannot serialize object","level":"1.6.2","depth":2,"path":"troubleshooting/mapjoin_task_error.md","ref":"troubleshooting/mapjoin_task_error.md","articles":[]},"previous":{"title":"Troubleshooting","level":"1.6","depth":1,"path":"troubleshooting/README.md","ref":"troubleshooting/README.md","articles":[{"title":"OutOfMemoryError in training","level":"1.6.1","depth":2,"path":"troubleshooting/oom.md","ref":"troubleshooting/oom.md","articles":[]},{"title":"SemanticException generate map join task error: Cannot serialize object","level":"1.6.2","depth":2,"path":"troubleshooting/mapjoin_task_error.md","ref":"troubleshooting/mapjoin_task_error.md","articles":[]},{"title":"Asterisk argument for UDTF does not work","level":"1.6.3","depth":2,"path":"troubleshooting/asterisk.md","ref":"troubleshooting/asterisk.md","article
s":[]},{"title":"The number of mappers is less than input splits in Hadoop 2.x","level":"1.6.4","depth":2,"path":"troubleshooting/num_mappers.md","ref":"troubleshooting/num_mappers.md","articles":[]},{"title":"Map-side join causes ClassCastException on Tez","level":"1.6.5","depth":2,"path":"troubleshooting/mapjoin_classcastex.md","ref":"troubleshooting/mapjoin_classcastex.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/"},"s
plitter":{},"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":"troubleshooting/oom.md","mtime":"2017-12-11T08:48:01.153Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-06-06T09:01:20.330Z"},"basePath":"..","book":{"language":""}});
+ gitbook.page.hasChanged({"page":{"title":"OutOfMemoryError in training","level":"1.6.1","depth":2,"next":{"title":"SemanticException generate map join task error: Cannot serialize object","level":"1.6.2","depth":2,"path":"troubleshooting/mapjoin_task_error.md","ref":"troubleshooting/mapjoin_task_error.md","articles":[]},"previous":{"title":"Troubleshooting","level":"1.6","depth":1,"path":"troubleshooting/README.md","ref":"troubleshooting/README.md","articles":[{"title":"OutOfMemoryError in training","level":"1.6.1","depth":2,"path":"troubleshooting/oom.md","ref":"troubleshooting/oom.md","articles":[]},{"title":"SemanticException generate map join task error: Cannot serialize object","level":"1.6.2","depth":2,"path":"troubleshooting/mapjoin_task_error.md","ref":"troubleshooting/mapjoin_task_error.md","articles":[]},{"title":"Asterisk argument for UDTF does not work","level":"1.6.3","depth":2,"path":"troubleshooting/asterisk.md","ref":"troubleshooting/asterisk.md","article
s":[]},{"title":"The number of mappers is less than input splits in Hadoop 2.x","level":"1.6.4","depth":2,"path":"troubleshooting/num_mappers.md","ref":"troubleshooting/num_mappers.md","articles":[]},{"title":"Map-side join causes ClassCastException on Tez","level":"1.6.5","depth":2,"path":"troubleshooting/mapjoin_classcastex.md","ref":"troubleshooting/mapjoin_classcastex.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/"},"s
plitter":{},"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":"troubleshooting/oom.md","mtime":"2018-08-29T08:55:00.298Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-08-31T06:54:21.013Z"},"basePath":"..","book":{"language":""}});
});
</script>
</div>
@@ -2310,7 +2376,7 @@ 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>
[12/20] incubator-hivemall-site git commit: Added criteo example and
step-by-step guide for general classifier/regressor
Posted by my...@apache.org.
http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/6c6a1b42/userguide/ft_engineering/vectorization.html
----------------------------------------------------------------------
diff --git a/userguide/ft_engineering/vectorization.html b/userguide/ft_engineering/vectorization.html
index f5cf711..e65f2d9 100644
--- a/userguide/ft_engineering/vectorization.html
+++ b/userguide/ft_engineering/vectorization.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>
+
@@ -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":"Feature vectorization","level":"3.6.1","depth":2,"next":{"title":"Quantify non-number features","level":"3.6.2","depth":2,"path":"ft_engineering/quantify.md","ref":"ft_engineering/quantify.md","articles":[]},"previous":{"title":"Feature Transformation","level":"3.6","depth":1,"path":"ft_engineering/ft_trans.md","ref":"ft_engineering/ft_trans.md","articles":[{"title":"Feature vectorization","level":"3.6.1","depth":2,"path":"ft_engineering/vectorization.md","ref":"ft_engineering/vectorization.md","articles":[]},{"title":"Quantify non-number features","level":"3.6.2","depth":2,"path":"ft_engineering/quantify.md","ref":"ft_engineering/quantify.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":"st
yles/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":"ft_engineering/vectorization.md","mti
me":"2018-04-27T10:39:21.968Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-06-06T09:01:20.330Z"},"basePath":"..","book":{"language":""}});
+ gitbook.page.hasChanged({"page":{"title":"Feature vectorization","level":"3.6.1","depth":2,"next":{"title":"Quantify non-number features","level":"3.6.2","depth":2,"path":"ft_engineering/quantify.md","ref":"ft_engineering/quantify.md","articles":[]},"previous":{"title":"Feature Transformation","level":"3.6","depth":1,"path":"ft_engineering/ft_trans.md","ref":"ft_engineering/ft_trans.md","articles":[{"title":"Feature vectorization","level":"3.6.1","depth":2,"path":"ft_engineering/vectorization.md","ref":"ft_engineering/vectorization.md","articles":[]},{"title":"Quantify non-number features","level":"3.6.2","depth":2,"path":"ft_engineering/quantify.md","ref":"ft_engineering/quantify.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":"st
yles/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":"ft_engineering/vectorization.md","mti
me":"2018-08-29T08:55:00.274Z","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>
http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/6c6a1b42/userguide/geospatial/latlon.html
----------------------------------------------------------------------
diff --git a/userguide/geospatial/latlon.html b/userguide/geospatial/latlon.html
index 107b73c..f405a42 100644
--- a/userguide/geospatial/latlon.html
+++ b/userguide/geospatial/latlon.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":"Lat/Lon functions","level":"12.1","depth":1,"next":{"title":"Getting Started","level":"13.1","depth":1,"path":"spark/getting_started/README.md","ref":"spark/getting_started/README.md","articles":[{"title":"Installation","level":"13.1.1","depth":2,"path":"spark/getting_started/installation.md","ref":"spark/getting_started/installation.md","articles":[]}]},"previous":{"title":"Probabilistic Latent Semantic Analysis","level":"11.2","depth":1,"path":"clustering/plsa.md","ref":"clustering/plsa.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"},"pluginsCo
nfig":{"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":{"websit
e":"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":"geospatial/latlon.md","mtime":"2017-12-11T08:48:01.133Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-06-06T09:01:20.330Z"},"basePath":"..","book":{"language":""}});
+ gitbook.page.hasChanged({"page":{"title":"Lat/Lon functions","level":"12.1","depth":1,"next":{"title":"Getting Started","level":"13.1","depth":1,"path":"spark/getting_started/README.md","ref":"spark/getting_started/README.md","articles":[{"title":"Installation","level":"13.1.1","depth":2,"path":"spark/getting_started/installation.md","ref":"spark/getting_started/installation.md","articles":[]}]},"previous":{"title":"Probabilistic Latent Semantic Analysis","level":"11.2","depth":1,"path":"clustering/plsa.md","ref":"clustering/plsa.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"},"pluginsCo
nfig":{"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":{"websit
e":"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":"geospatial/latlon.md","mtime":"2018-08-29T08:55:00.274Z","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/getting_started/index.html
----------------------------------------------------------------------
diff --git a/userguide/getting_started/index.html b/userguide/getting_started/index.html
index 4599546..82775f5 100644
--- a/userguide/getting_started/index.html
+++ b/userguide/getting_started/index.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>
+
@@ -2271,7 +2337,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
<script>
var gitbook = gitbook || [];
gitbook.push(function() {
- gitbook.page.hasChanged({"page":{"title":"Getting Started","level":"1.2","depth":1,"next":{"title":"Installation","level":"1.2.1","depth":2,"path":"getting_started/installation.md","ref":"getting_started/installation.md","articles":[]},"previous":{"title":"Introduction","level":"1.1","depth":1,"path":"README.md","ref":"README.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":"getting_started/README.md","mtime":"2017-12-11T08:48:01.134Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-06-06T09:01:20.330Z"},"basePath":"..","book":{"language":""}});
+ gitbook.page.hasChanged({"page":{"title":"Getting Started","level":"1.2","depth":1,"next":{"title":"Installation","level":"1.2.1","depth":2,"path":"getting_started/installation.md","ref":"getting_started/installation.md","articles":[]},"previous":{"title":"Introduction","level":"1.1","depth":1,"path":"README.md","ref":"README.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":"getting_started/README.md","mtime":"2018-08-29T08:55:00.274Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-08-31T06:54:21.013Z"},"basePath":"..","book":{"language":""}});
});
</script>
</div>
@@ -2301,7 +2367,7 @@ 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/getting_started/input-format.html
----------------------------------------------------------------------
diff --git a/userguide/getting_started/input-format.html b/userguide/getting_started/input-format.html
index 5268d33..3643c9d 100644
--- a/userguide/getting_started/input-format.html
+++ b/userguide/getting_started/input-format.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>
+
@@ -2459,7 +2525,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
<script>
var gitbook = gitbook || [];
gitbook.push(function() {
- gitbook.page.hasChanged({"page":{"title":"Input Format","level":"1.2.3","depth":2,"next":{"title":"List of Functions","level":"1.3","depth":1,"path":"misc/funcs.md","ref":"misc/funcs.md","articles":[]},"previous":{"title":"Install as permanent functions","level":"1.2.2","depth":2,"path":"getting_started/permanent-functions.md","ref":"getting_started/permanent-functions.md","articles":[]},"dir":"ltr"},"config":{"plugins":["theme-api","edit-link","github","splitter","sitemap","etoc","callouts","toggle-chapters","anchorjs","codeblock-filename","expandable-chapters","multipart","codeblock-filename","katex","emphasize","localized-footer"],"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"pluginsConfig":{"emphasize":{},"callouts":{},"etoc":{"h2lb":3,"header":1,"maxdepth":3,"mindepth":1,"notoc":true},"github":{"url":"https://github.com/apache/incubator-hivemal
l/"},"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":"getting_started/input-format.md","mtime":"2017-12-11T08:48:01.134Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-06-06T09:01:20.330Z"},"basePath":"..","book":{"language":""}});
+ gitbook.page.hasChanged({"page":{"title":"Input Format","level":"1.2.3","depth":2,"next":{"title":"List of Functions","level":"1.3","depth":1,"path":"misc/funcs.md","ref":"misc/funcs.md","articles":[]},"previous":{"title":"Install as permanent functions","level":"1.2.2","depth":2,"path":"getting_started/permanent-functions.md","ref":"getting_started/permanent-functions.md","articles":[]},"dir":"ltr"},"config":{"plugins":["theme-api","edit-link","github","splitter","sitemap","etoc","callouts","toggle-chapters","anchorjs","codeblock-filename","expandable-chapters","multipart","codeblock-filename","katex","emphasize","localized-footer"],"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"pluginsConfig":{"emphasize":{},"callouts":{},"etoc":{"h2lb":3,"header":1,"maxdepth":3,"mindepth":1,"notoc":true},"github":{"url":"https://github.com/apache/incubator-hivemal
l/"},"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":"getting_started/input-format.md","mtime":"2018-08-29T08:55:00.274Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-08-31T06:54:21.013Z"},"basePath":"..","book":{"language":""}});
});
</script>
</div>
@@ -2489,7 +2555,7 @@ 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/getting_started/installation.html
----------------------------------------------------------------------
diff --git a/userguide/getting_started/installation.html b/userguide/getting_started/installation.html
index 569b994..f72dab8 100644
--- a/userguide/getting_started/installation.html
+++ b/userguide/getting_started/installation.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>
+
@@ -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":"Installation","level":"1.2.1","depth":2,"next":{"title":"Install as permanent functions","level":"1.2.2","depth":2,"path":"getting_started/permanent-functions.md","ref":"getting_started/permanent-functions.md","articles":[]},"previous":{"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","callout
s","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":"getting_started/installation.md","mtime":"2018-04-03T05:00:35.960Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-06-06T09:01:20.330Z"},"basePath":"..","book":{"language":""}});
+ gitbook.page.hasChanged({"page":{"title":"Installation","level":"1.2.1","depth":2,"next":{"title":"Install as permanent functions","level":"1.2.2","depth":2,"path":"getting_started/permanent-functions.md","ref":"getting_started/permanent-functions.md","articles":[]},"previous":{"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","callout
s","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":"getting_started/installation.md","mtime":"2018-08-29T08:55:00.275Z","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/getting_started/permanent-functions.html
----------------------------------------------------------------------
diff --git a/userguide/getting_started/permanent-functions.html b/userguide/getting_started/permanent-functions.html
index 95f7abf..65a6fa2 100644
--- a/userguide/getting_started/permanent-functions.html
+++ b/userguide/getting_started/permanent-functions.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>
+
@@ -2303,7 +2369,7 @@ 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":"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":"getting_started/permanent-functions.md","mtime":"2018-04-03T05:00:35.962Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-06-06T09:01:20.330Z"},"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":"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":"getting_started/permanent-functions.md","mtime":"2018-08-29T08:55:00.275Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-08-31T06:54:21.013Z"},"basePath":"..","book":{"language":""}});
});
</script>
</div>
@@ -2333,7 +2399,7 @@ 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/index.html
----------------------------------------------------------------------
diff --git a/userguide/index.html b/userguide/index.html
index 5f3a562..5289b2d 100644
--- a/userguide/index.html
+++ b/userguide/index.html
@@ -859,9 +859,9 @@
- <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>
@@ -874,6 +874,21 @@
</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>
+
@@ -1226,6 +1241,57 @@
</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>
+
@@ -2281,7 +2347,7 @@ 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":"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":"README.md","mtime":"2017-12-11T08:48:01.123Z","type":"mar
kdown"},"gitbook":{"version":"3.2.3","time":"2018-06-06T09:01:20.330Z"},"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":"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":"README.md","mtime":"2018-08-29T08:55:00.262Z","type":"mar
kdown"},"gitbook":{"version":"3.2.3","time":"2018-08-31T06:54:21.013Z"},"basePath":".","book":{"language":""}});
});
</script>
</div>
@@ -2311,7 +2377,7 @@ 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/misc/approx.html
----------------------------------------------------------------------
diff --git a/userguide/misc/approx.html b/userguide/misc/approx.html
index a830d49..41fcdf6 100644
--- a/userguide/misc/approx.html
+++ b/userguide/misc/approx.html
@@ -861,9 +861,9 @@
- <li class="chapter " data-level="5.1" data-path="prediction.html">
+ <li class="chapter " data-level="5.1" data-path="../supervised_learning/prediction.html">
- <a href="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>
+
@@ -2359,7 +2425,7 @@ 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":"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":{"se
lector":"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":"misc/approx.md","mtime":"2017-12-18T07:29:14.737Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-06-06T09:01:20.330Z"},"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":"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":{"se
lector":"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":"misc/approx.md","mtime":"2018-08-29T08:55:00.275Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-08-31T06:54:21.013Z"},"basePath":"..","book":{"language":""}});
});
</script>
</div>
@@ -2389,7 +2455,7 @@ 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/misc/funcs.html
----------------------------------------------------------------------
diff --git a/userguide/misc/funcs.html b/userguide/misc/funcs.html
index f59575c..02d3813 100644
--- a/userguide/misc/funcs.html
+++ b/userguide/misc/funcs.html
@@ -861,9 +861,9 @@
- <li class="chapter " data-level="5.1" data-path="prediction.html">
+ <li class="chapter " data-level="5.1" data-path="../supervised_learning/prediction.html">
- <a href="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>
+
@@ -2797,7 +2863,7 @@ 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":"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":"misc/funcs.md","mtime":"2018-06-06T08:56:31.022Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-06-06T09:01:20.330Z"},"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":"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":"misc/funcs.md","mtime":"2018-08-29T08:55:00.276Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-08-31T06:54:21.013Z"},"basePath":"..","book":{"language":""}});
});
</script>
</div>
@@ -2827,7 +2893,7 @@ 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>
[16/20] incubator-hivemall-site git commit: Added criteo example and
step-by-step guide for general classifier/regressor
Posted by my...@apache.org.
http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/6c6a1b42/userguide/binaryclass/general.html
----------------------------------------------------------------------
diff --git a/userguide/binaryclass/general.html b/userguide/binaryclass/general.html
index 5a2bfb2..ba1dae4 100644
--- a/userguide/binaryclass/general.html
+++ b/userguide/binaryclass/general.html
@@ -100,7 +100,7 @@
<link rel="next" href="a9a.html" />
- <link rel="prev" href="../misc/prediction.html" />
+ <link rel="prev" href="../supervised_learning/tutorial.html" />
</head>
@@ -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>
+
@@ -2371,7 +2437,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
<script>
var gitbook = gitbook || [];
gitbook.push(function() {
- gitbook.page.hasChanged({"page":{"title":"Binary Classification","level":"6.1","depth":1,"next":{"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":[]}]},"previous":{"title":"How Prediction Works","level":"5.1","depth":1,"path":"misc/prediction.md","ref":"misc/prediction.md","articles":[]},"dir":"ltr"},"config":{"plugins":["theme-api","edit-link","github","splitter","sitemap","etoc","callouts","toggle-chapters","anchorjs","codeblock-filename","expandable-chapters","multipart","codeblock-filena
me","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,"instapap
er":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 Apac
he Hivemall"},"file":{"path":"binaryclass/general.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":"Binary Classification","level":"6.1","depth":1,"next":{"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":[]}]},"previous":{"title":"Step-by-Step Tutorial on Supervised Learning","level":"5.2","depth":1,"path":"supervised_learning/tutorial.md","ref":"supervised_learning/tutorial.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,"tw
itter":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/"}},"gi
tbook":"3.x.x","description":"User Manual for Apache Hivemall"},"file":{"path":"binaryclass/general.md","mtime":"2018-08-29T08:55:00.265Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-08-31T06:54:21.013Z"},"basePath":"..","book":{"language":""}});
});
</script>
</div>
@@ -2401,7 +2467,7 @@ 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/kdd2010a.html
----------------------------------------------------------------------
diff --git a/userguide/binaryclass/kdd2010a.html b/userguide/binaryclass/kdd2010a.html
index df1a1b6..95125a3 100644
--- a/userguide/binaryclass/kdd2010a.html
+++ b/userguide/binaryclass/kdd2010a.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":"KDD2010a Tutorial","level":"6.4","depth":1,"next":{"title":"Data preparation","level":"6.4.1","depth":2,"path":"binaryclass/kdd2010a_dataset.md","ref":"binaryclass/kdd2010a_dataset.md","articles":[]},"previous":{"title":"Random Forest","level":"6.3.5","depth":2,"path":"binaryclass/news20_rf.md","ref":"binaryclass/news20_rf.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/kdd2010a.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":"KDD2010a Tutorial","level":"6.4","depth":1,"next":{"title":"Data preparation","level":"6.4.1","depth":2,"path":"binaryclass/kdd2010a_dataset.md","ref":"binaryclass/kdd2010a_dataset.md","articles":[]},"previous":{"title":"Random Forest","level":"6.3.5","depth":2,"path":"binaryclass/news20_rf.md","ref":"binaryclass/news20_rf.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/kdd2010a.md","mtime":"2018-08-29T08:55:00.265Z","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/kdd2010a_dataset.html
----------------------------------------------------------------------
diff --git a/userguide/binaryclass/kdd2010a_dataset.html b/userguide/binaryclass/kdd2010a_dataset.html
index 99a370a..7db8a79 100644
--- a/userguide/binaryclass/kdd2010a_dataset.html
+++ b/userguide/binaryclass/kdd2010a_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>
+
@@ -2337,7 +2403,7 @@ 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":"6.4.1","depth":2,"next":{"title":"PA, CW, AROW, SCW","level":"6.4.2","depth":2,"path":"binaryclass/kdd2010a_scw.md","ref":"binaryclass/kdd2010a_scw.md","articles":[]},"previous":{"title":"KDD2010a Tutorial","level":"6.4","depth":1,"path":"binaryclass/kdd2010a.md","ref":"binaryclass/kdd2010a.md","articles":[{"title":"Data preparation","level":"6.4.1","depth":2,"path":"binaryclass/kdd2010a_dataset.md","ref":"binaryclass/kdd2010a_dataset.md","articles":[]},{"title":"PA, CW, AROW, SCW","level":"6.4.2","depth":2,"path":"binaryclass/kdd2010a_scw.md","ref":"binaryclass/kdd2010a_scw.md","articles":[]}]},"dir":"ltr"},"config":{"plugins":["theme-api","edit-link","github","splitter","sitemap","etoc","callouts","toggle-chapters","anchorjs","codeblock-filename","expandable-chapters","multipart","codeblock-filename","katex","emphasize","localized-footer"],"styles":{"website":"styles/website.css","pdf":"styles/pdf.css
","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"pluginsConfig":{"emphasize":{},"callouts":{},"etoc":{"h2lb":3,"header":1,"maxdepth":3,"mindepth":1,"notoc":true},"github":{"url":"https://github.com/apache/incubator-hivemall/"},"splitter":{},"search":{},"downloadpdf":{"base":"https://github.com/apache/incubator-hivemall/docs/gitbook","label":"PDF","multilingual":false},"multipart":{},"localized-footer":{"filename":"FOOTER.md","hline":"true"},"lunr":{"maxIndexSize":1000000,"ignoreSpecialCharacters":false},"katex":{},"fontsettings":{"theme":"white","family":"sans","size":2,"font":"sans"},"highlight":{},"codeblock-filename":{},"sitemap":{"hostname":"http://hivemall.incubator.apache.org/"},"theme-api":{"languages":[],"split":false,"theme":"dark"},"sharing":{"facebook":true,"twitter":true,"google":false,"weibo":false,"instapaper":false,"vk":false,"all":["facebook","google","twitter","weibo","instapaper"]},"edit-link":{"label":"Edi
t","base":"https://github.com/apache/incubator-hivemall/tree/master/docs/gitbook"},"theme-default":{"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"showLevel":true},"anchorjs":{"selector":"h1,h2,h3,*:not(.callout) > h4,h5"},"toggle-chapters":{},"expandable-chapters":{}},"theme":"default","pdf":{"pageNumbers":true,"fontSize":12,"fontFamily":"Arial","paperSize":"a4","chapterMark":"pagebreak","pageBreaksBefore":"/","margin":{"right":62,"left":62,"top":56,"bottom":56}},"structure":{"langs":"LANGS.md","readme":"README.md","glossary":"GLOSSARY.md","summary":"SUMMARY.md"},"variables":{},"title":"Hivemall User Manual","links":{"sidebar":{"<i class=\"fa fa-home\"></i> Home":"http://hivemall.incubator.apache.org/"}},"gitbook":"3.x.x","description":"User Manual for Apache Hivemall"},"file":{"path":"binaryclass/kdd2010a_dataset.md","mtime":"2017-12-11T08:48:01.126Z","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":"6.4.1","depth":2,"next":{"title":"PA, CW, AROW, SCW","level":"6.4.2","depth":2,"path":"binaryclass/kdd2010a_scw.md","ref":"binaryclass/kdd2010a_scw.md","articles":[]},"previous":{"title":"KDD2010a Tutorial","level":"6.4","depth":1,"path":"binaryclass/kdd2010a.md","ref":"binaryclass/kdd2010a.md","articles":[{"title":"Data preparation","level":"6.4.1","depth":2,"path":"binaryclass/kdd2010a_dataset.md","ref":"binaryclass/kdd2010a_dataset.md","articles":[]},{"title":"PA, CW, AROW, SCW","level":"6.4.2","depth":2,"path":"binaryclass/kdd2010a_scw.md","ref":"binaryclass/kdd2010a_scw.md","articles":[]}]},"dir":"ltr"},"config":{"plugins":["theme-api","edit-link","github","splitter","sitemap","etoc","callouts","toggle-chapters","anchorjs","codeblock-filename","expandable-chapters","multipart","codeblock-filename","katex","emphasize","localized-footer"],"styles":{"website":"styles/website.css","pdf":"styles/pdf.css
","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"pluginsConfig":{"emphasize":{},"callouts":{},"etoc":{"h2lb":3,"header":1,"maxdepth":3,"mindepth":1,"notoc":true},"github":{"url":"https://github.com/apache/incubator-hivemall/"},"splitter":{},"search":{},"downloadpdf":{"base":"https://github.com/apache/incubator-hivemall/docs/gitbook","label":"PDF","multilingual":false},"multipart":{},"localized-footer":{"filename":"FOOTER.md","hline":"true"},"lunr":{"maxIndexSize":1000000,"ignoreSpecialCharacters":false},"katex":{},"fontsettings":{"theme":"white","family":"sans","size":2,"font":"sans"},"highlight":{},"codeblock-filename":{},"sitemap":{"hostname":"http://hivemall.incubator.apache.org/"},"theme-api":{"languages":[],"split":false,"theme":"dark"},"sharing":{"facebook":true,"twitter":true,"google":false,"weibo":false,"instapaper":false,"vk":false,"all":["facebook","google","twitter","weibo","instapaper"]},"edit-link":{"label":"Edi
t","base":"https://github.com/apache/incubator-hivemall/tree/master/docs/gitbook"},"theme-default":{"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"showLevel":true},"anchorjs":{"selector":"h1,h2,h3,*:not(.callout) > h4,h5"},"toggle-chapters":{},"expandable-chapters":{}},"theme":"default","pdf":{"pageNumbers":true,"fontSize":12,"fontFamily":"Arial","paperSize":"a4","chapterMark":"pagebreak","pageBreaksBefore":"/","margin":{"right":62,"left":62,"top":56,"bottom":56}},"structure":{"langs":"LANGS.md","readme":"README.md","glossary":"GLOSSARY.md","summary":"SUMMARY.md"},"variables":{},"title":"Hivemall User Manual","links":{"sidebar":{"<i class=\"fa fa-home\"></i> Home":"http://hivemall.incubator.apache.org/"}},"gitbook":"3.x.x","description":"User Manual for Apache Hivemall"},"file":{"path":"binaryclass/kdd2010a_dataset.md","mtime":"2018-08-29T08:55:00.266Z","type":"
markdown"},"gitbook":{"version":"3.2.3","time":"2018-08-31T06:54:21.013Z"},"basePath":"..","book":{"language":""}});
});
</script>
</div>
@@ -2367,7 +2433,7 @@ 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/kdd2010a_scw.html
----------------------------------------------------------------------
diff --git a/userguide/binaryclass/kdd2010a_scw.html b/userguide/binaryclass/kdd2010a_scw.html
index 4c85f50..9a773a7 100644
--- a/userguide/binaryclass/kdd2010a_scw.html
+++ b/userguide/binaryclass/kdd2010a_scw.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>
+
@@ -2470,7 +2536,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
<script>
var gitbook = gitbook || [];
gitbook.push(function() {
- gitbook.page.hasChanged({"page":{"title":"PA, CW, AROW, SCW","level":"6.4.2","depth":2,"next":{"title":"KDD2010b Tutorial","level":"6.5","depth":1,"path":"binaryclass/kdd2010b.md","ref":"binaryclass/kdd2010b.md","articles":[{"title":"Data preparation","level":"6.5.1","depth":2,"path":"binaryclass/kdd2010b_dataset.md","ref":"binaryclass/kdd2010b_dataset.md","articles":[]},{"title":"AROW","level":"6.5.2","depth":2,"path":"binaryclass/kdd2010b_arow.md","ref":"binaryclass/kdd2010b_arow.md","articles":[]}]},"previous":{"title":"Data preparation","level":"6.4.1","depth":2,"path":"binaryclass/kdd2010a_dataset.md","ref":"binaryclass/kdd2010a_dataset.md","articles":[]},"dir":"ltr"},"config":{"plugins":["theme-api","edit-link","github","splitter","sitemap","etoc","callouts","toggle-chapters","anchorjs","codeblock-filename","expandable-chapters","multipart","codeblock-filename","katex","emphasize","localized-footer"],"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","
epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"pluginsConfig":{"emphasize":{},"callouts":{},"etoc":{"h2lb":3,"header":1,"maxdepth":3,"mindepth":1,"notoc":true},"github":{"url":"https://github.com/apache/incubator-hivemall/"},"splitter":{},"search":{},"downloadpdf":{"base":"https://github.com/apache/incubator-hivemall/docs/gitbook","label":"PDF","multilingual":false},"multipart":{},"localized-footer":{"filename":"FOOTER.md","hline":"true"},"lunr":{"maxIndexSize":1000000,"ignoreSpecialCharacters":false},"katex":{},"fontsettings":{"theme":"white","family":"sans","size":2,"font":"sans"},"highlight":{},"codeblock-filename":{},"sitemap":{"hostname":"http://hivemall.incubator.apache.org/"},"theme-api":{"languages":[],"split":false,"theme":"dark"},"sharing":{"facebook":true,"twitter":true,"google":false,"weibo":false,"instapaper":false,"vk":false,"all":["facebook","google","twitter","weibo","instapaper"]},"edit-link":{"label":"Edit",
"base":"https://github.com/apache/incubator-hivemall/tree/master/docs/gitbook"},"theme-default":{"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"showLevel":true},"anchorjs":{"selector":"h1,h2,h3,*:not(.callout) > h4,h5"},"toggle-chapters":{},"expandable-chapters":{}},"theme":"default","pdf":{"pageNumbers":true,"fontSize":12,"fontFamily":"Arial","paperSize":"a4","chapterMark":"pagebreak","pageBreaksBefore":"/","margin":{"right":62,"left":62,"top":56,"bottom":56}},"structure":{"langs":"LANGS.md","readme":"README.md","glossary":"GLOSSARY.md","summary":"SUMMARY.md"},"variables":{},"title":"Hivemall User Manual","links":{"sidebar":{"<i class=\"fa fa-home\"></i> Home":"http://hivemall.incubator.apache.org/"}},"gitbook":"3.x.x","description":"User Manual for Apache Hivemall"},"file":{"path":"binaryclass/kdd2010a_scw.md","mtime":"2017-12-11T08:48:01.126Z","type":"markdow
n"},"gitbook":{"version":"3.2.3","time":"2018-06-06T09:01:20.330Z"},"basePath":"..","book":{"language":""}});
+ gitbook.page.hasChanged({"page":{"title":"PA, CW, AROW, SCW","level":"6.4.2","depth":2,"next":{"title":"KDD2010b Tutorial","level":"6.5","depth":1,"path":"binaryclass/kdd2010b.md","ref":"binaryclass/kdd2010b.md","articles":[{"title":"Data preparation","level":"6.5.1","depth":2,"path":"binaryclass/kdd2010b_dataset.md","ref":"binaryclass/kdd2010b_dataset.md","articles":[]},{"title":"AROW","level":"6.5.2","depth":2,"path":"binaryclass/kdd2010b_arow.md","ref":"binaryclass/kdd2010b_arow.md","articles":[]}]},"previous":{"title":"Data preparation","level":"6.4.1","depth":2,"path":"binaryclass/kdd2010a_dataset.md","ref":"binaryclass/kdd2010a_dataset.md","articles":[]},"dir":"ltr"},"config":{"plugins":["theme-api","edit-link","github","splitter","sitemap","etoc","callouts","toggle-chapters","anchorjs","codeblock-filename","expandable-chapters","multipart","codeblock-filename","katex","emphasize","localized-footer"],"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","
epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"pluginsConfig":{"emphasize":{},"callouts":{},"etoc":{"h2lb":3,"header":1,"maxdepth":3,"mindepth":1,"notoc":true},"github":{"url":"https://github.com/apache/incubator-hivemall/"},"splitter":{},"search":{},"downloadpdf":{"base":"https://github.com/apache/incubator-hivemall/docs/gitbook","label":"PDF","multilingual":false},"multipart":{},"localized-footer":{"filename":"FOOTER.md","hline":"true"},"lunr":{"maxIndexSize":1000000,"ignoreSpecialCharacters":false},"katex":{},"fontsettings":{"theme":"white","family":"sans","size":2,"font":"sans"},"highlight":{},"codeblock-filename":{},"sitemap":{"hostname":"http://hivemall.incubator.apache.org/"},"theme-api":{"languages":[],"split":false,"theme":"dark"},"sharing":{"facebook":true,"twitter":true,"google":false,"weibo":false,"instapaper":false,"vk":false,"all":["facebook","google","twitter","weibo","instapaper"]},"edit-link":{"label":"Edit",
"base":"https://github.com/apache/incubator-hivemall/tree/master/docs/gitbook"},"theme-default":{"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"showLevel":true},"anchorjs":{"selector":"h1,h2,h3,*:not(.callout) > h4,h5"},"toggle-chapters":{},"expandable-chapters":{}},"theme":"default","pdf":{"pageNumbers":true,"fontSize":12,"fontFamily":"Arial","paperSize":"a4","chapterMark":"pagebreak","pageBreaksBefore":"/","margin":{"right":62,"left":62,"top":56,"bottom":56}},"structure":{"langs":"LANGS.md","readme":"README.md","glossary":"GLOSSARY.md","summary":"SUMMARY.md"},"variables":{},"title":"Hivemall User Manual","links":{"sidebar":{"<i class=\"fa fa-home\"></i> Home":"http://hivemall.incubator.apache.org/"}},"gitbook":"3.x.x","description":"User Manual for Apache Hivemall"},"file":{"path":"binaryclass/kdd2010a_scw.md","mtime":"2018-08-29T08:55:00.266Z","type":"markdow
n"},"gitbook":{"version":"3.2.3","time":"2018-08-31T06:54:21.013Z"},"basePath":"..","book":{"language":""}});
});
</script>
</div>
@@ -2500,7 +2566,7 @@ 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/kdd2010b.html
----------------------------------------------------------------------
diff --git a/userguide/binaryclass/kdd2010b.html b/userguide/binaryclass/kdd2010b.html
index 881efcf..a7b13ce 100644
--- a/userguide/binaryclass/kdd2010b.html
+++ b/userguide/binaryclass/kdd2010b.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":"KDD2010b Tutorial","level":"6.5","depth":1,"next":{"title":"Data preparation","level":"6.5.1","depth":2,"path":"binaryclass/kdd2010b_dataset.md","ref":"binaryclass/kdd2010b_dataset.md","articles":[]},"previous":{"title":"PA, CW, AROW, SCW","level":"6.4.2","depth":2,"path":"binaryclass/kdd2010a_scw.md","ref":"binaryclass/kdd2010a_scw.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-hi
vemall/"},"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"},"showLe
vel":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/kdd2010b.md","mtime":"2017-12-11T08:48:01.126Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-06-06T09:01:20.330Z"},"basePath":"..","book":{"language":""}});
+ gitbook.page.hasChanged({"page":{"title":"KDD2010b Tutorial","level":"6.5","depth":1,"next":{"title":"Data preparation","level":"6.5.1","depth":2,"path":"binaryclass/kdd2010b_dataset.md","ref":"binaryclass/kdd2010b_dataset.md","articles":[]},"previous":{"title":"PA, CW, AROW, SCW","level":"6.4.2","depth":2,"path":"binaryclass/kdd2010a_scw.md","ref":"binaryclass/kdd2010a_scw.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-hi
vemall/"},"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"},"showLe
vel":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/kdd2010b.md","mtime":"2018-08-29T08:55:00.266Z","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/kdd2010b_arow.html
----------------------------------------------------------------------
diff --git a/userguide/binaryclass/kdd2010b_arow.html b/userguide/binaryclass/kdd2010b_arow.html
index 37430bb..f2ee29f 100644
--- a/userguide/binaryclass/kdd2010b_arow.html
+++ b/userguide/binaryclass/kdd2010b_arow.html
@@ -861,9 +861,9 @@
- <li class="chapter " data-level="5.1" data-path="../misc/prediction.html">
+ <li class="chapter " data-level="5.1" data-path="../supervised_learning/prediction.html">
- <a href="../misc/prediction.html">
+ <a href="../supervised_learning/prediction.html">
<b>5.1.</b>
@@ -876,6 +876,21 @@
</li>
+ <li class="chapter " data-level="5.2" data-path="../supervised_learning/tutorial.html">
+
+ <a href="../supervised_learning/tutorial.html">
+
+
+ <b>5.2.</b>
+
+ Step-by-Step Tutorial on Supervised Learning
+
+ </a>
+
+
+
+ </li>
+
@@ -1228,6 +1243,57 @@
</li>
+ <li class="chapter " data-level="6.8" data-path="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>
+
@@ -2316,7 +2382,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
<script>
var gitbook = gitbook || [];
gitbook.push(function() {
- gitbook.page.hasChanged({"page":{"title":"AROW","level":"6.5.2","depth":2,"next":{"title":"Webspam Tutorial","level":"6.6","depth":1,"path":"binaryclass/webspam.md","ref":"binaryclass/webspam.md","articles":[{"title":"Data pareparation","level":"6.6.1","depth":2,"path":"binaryclass/webspam_dataset.md","ref":"binaryclass/webspam_dataset.md","articles":[]},{"title":"PA1, AROW, SCW","level":"6.6.2","depth":2,"path":"binaryclass/webspam_scw.md","ref":"binaryclass/webspam_scw.md","articles":[]}]},"previous":{"title":"Data preparation","level":"6.5.1","depth":2,"path":"binaryclass/kdd2010b_dataset.md","ref":"binaryclass/kdd2010b_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":"styl
es/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":"htt
ps://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/kdd2010b_arow.md","mtime":"2017-12-11T08:48:01.126Z","type":"markdown"},"gitbo
ok":{"version":"3.2.3","time":"2018-06-06T09:01:20.330Z"},"basePath":"..","book":{"language":""}});
+ gitbook.page.hasChanged({"page":{"title":"AROW","level":"6.5.2","depth":2,"next":{"title":"Webspam Tutorial","level":"6.6","depth":1,"path":"binaryclass/webspam.md","ref":"binaryclass/webspam.md","articles":[{"title":"Data pareparation","level":"6.6.1","depth":2,"path":"binaryclass/webspam_dataset.md","ref":"binaryclass/webspam_dataset.md","articles":[]},{"title":"PA1, AROW, SCW","level":"6.6.2","depth":2,"path":"binaryclass/webspam_scw.md","ref":"binaryclass/webspam_scw.md","articles":[]}]},"previous":{"title":"Data preparation","level":"6.5.1","depth":2,"path":"binaryclass/kdd2010b_dataset.md","ref":"binaryclass/kdd2010b_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":"styl
es/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":"htt
ps://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/kdd2010b_arow.md","mtime":"2018-08-29T08:55:00.267Z","type":"markdown"},"gitbo
ok":{"version":"3.2.3","time":"2018-08-31T06:54:21.013Z"},"basePath":"..","book":{"language":""}});
});
</script>
</div>
@@ -2346,7 +2412,7 @@ 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/kdd2010b_dataset.html
----------------------------------------------------------------------
diff --git a/userguide/binaryclass/kdd2010b_dataset.html b/userguide/binaryclass/kdd2010b_dataset.html
index 2713531..b391d59 100644
--- a/userguide/binaryclass/kdd2010b_dataset.html
+++ b/userguide/binaryclass/kdd2010b_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>
+
@@ -2324,7 +2390,7 @@ 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":"6.5.1","depth":2,"next":{"title":"AROW","level":"6.5.2","depth":2,"path":"binaryclass/kdd2010b_arow.md","ref":"binaryclass/kdd2010b_arow.md","articles":[]},"previous":{"title":"KDD2010b Tutorial","level":"6.5","depth":1,"path":"binaryclass/kdd2010b.md","ref":"binaryclass/kdd2010b.md","articles":[{"title":"Data preparation","level":"6.5.1","depth":2,"path":"binaryclass/kdd2010b_dataset.md","ref":"binaryclass/kdd2010b_dataset.md","articles":[]},{"title":"AROW","level":"6.5.2","depth":2,"path":"binaryclass/kdd2010b_arow.md","ref":"binaryclass/kdd2010b_arow.md","articles":[]}]},"dir":"ltr"},"config":{"plugins":["theme-api","edit-link","github","splitter","sitemap","etoc","callouts","toggle-chapters","anchorjs","codeblock-filename","expandable-chapters","multipart","codeblock-filename","katex","emphasize","localized-footer"],"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.
css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"pluginsConfig":{"emphasize":{},"callouts":{},"etoc":{"h2lb":3,"header":1,"maxdepth":3,"mindepth":1,"notoc":true},"github":{"url":"https://github.com/apache/incubator-hivemall/"},"splitter":{},"search":{},"downloadpdf":{"base":"https://github.com/apache/incubator-hivemall/docs/gitbook","label":"PDF","multilingual":false},"multipart":{},"localized-footer":{"filename":"FOOTER.md","hline":"true"},"lunr":{"maxIndexSize":1000000,"ignoreSpecialCharacters":false},"katex":{},"fontsettings":{"theme":"white","family":"sans","size":2,"font":"sans"},"highlight":{},"codeblock-filename":{},"sitemap":{"hostname":"http://hivemall.incubator.apache.org/"},"theme-api":{"languages":[],"split":false,"theme":"dark"},"sharing":{"facebook":true,"twitter":true,"google":false,"weibo":false,"instapaper":false,"vk":false,"all":["facebook","google","twitter","weibo","instapaper"]},"edit-link":{"label":"Edit","base":"https://git
hub.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/kdd2010b_dataset.md","mtime":"2017-12-11T08:48:01.126Z","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":"6.5.1","depth":2,"next":{"title":"AROW","level":"6.5.2","depth":2,"path":"binaryclass/kdd2010b_arow.md","ref":"binaryclass/kdd2010b_arow.md","articles":[]},"previous":{"title":"KDD2010b Tutorial","level":"6.5","depth":1,"path":"binaryclass/kdd2010b.md","ref":"binaryclass/kdd2010b.md","articles":[{"title":"Data preparation","level":"6.5.1","depth":2,"path":"binaryclass/kdd2010b_dataset.md","ref":"binaryclass/kdd2010b_dataset.md","articles":[]},{"title":"AROW","level":"6.5.2","depth":2,"path":"binaryclass/kdd2010b_arow.md","ref":"binaryclass/kdd2010b_arow.md","articles":[]}]},"dir":"ltr"},"config":{"plugins":["theme-api","edit-link","github","splitter","sitemap","etoc","callouts","toggle-chapters","anchorjs","codeblock-filename","expandable-chapters","multipart","codeblock-filename","katex","emphasize","localized-footer"],"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.
css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"pluginsConfig":{"emphasize":{},"callouts":{},"etoc":{"h2lb":3,"header":1,"maxdepth":3,"mindepth":1,"notoc":true},"github":{"url":"https://github.com/apache/incubator-hivemall/"},"splitter":{},"search":{},"downloadpdf":{"base":"https://github.com/apache/incubator-hivemall/docs/gitbook","label":"PDF","multilingual":false},"multipart":{},"localized-footer":{"filename":"FOOTER.md","hline":"true"},"lunr":{"maxIndexSize":1000000,"ignoreSpecialCharacters":false},"katex":{},"fontsettings":{"theme":"white","family":"sans","size":2,"font":"sans"},"highlight":{},"codeblock-filename":{},"sitemap":{"hostname":"http://hivemall.incubator.apache.org/"},"theme-api":{"languages":[],"split":false,"theme":"dark"},"sharing":{"facebook":true,"twitter":true,"google":false,"weibo":false,"instapaper":false,"vk":false,"all":["facebook","google","twitter","weibo","instapaper"]},"edit-link":{"label":"Edit","base":"https://git
hub.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/kdd2010b_dataset.md","mtime":"2018-08-29T08:55:00.267Z","type":"markdown"},"gitbook":{
"version":"3.2.3","time":"2018-08-31T06:54:21.013Z"},"basePath":"..","book":{"language":""}});
});
</script>
</div>
@@ -2354,7 +2420,7 @@ 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/news20.html
----------------------------------------------------------------------
diff --git a/userguide/binaryclass/news20.html b/userguide/binaryclass/news20.html
index 85bd350..4419268 100644
--- a/userguide/binaryclass/news20.html
+++ b/userguide/binaryclass/news20.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":"News20 Tutorial","level":"6.3","depth":1,"next":{"title":"Data preparation","level":"6.3.1","depth":2,"path":"binaryclass/news20_dataset.md","ref":"binaryclass/news20_dataset.md","articles":[]},"previous":{"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-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/news20.md","mtime":"2017-12-11T08:48:01.127Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-06-06T09:01:20.330Z"},"basePath":"..","book":{"language":""}});
+ gitbook.page.hasChanged({"page":{"title":"News20 Tutorial","level":"6.3","depth":1,"next":{"title":"Data preparation","level":"6.3.1","depth":2,"path":"binaryclass/news20_dataset.md","ref":"binaryclass/news20_dataset.md","articles":[]},"previous":{"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-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/news20.md","mtime":"2018-08-29T08:55:00.267Z","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/news20_adagrad.html
----------------------------------------------------------------------
diff --git a/userguide/binaryclass/news20_adagrad.html b/userguide/binaryclass/news20_adagrad.html
index 830ab32..12a6278 100644
--- a/userguide/binaryclass/news20_adagrad.html
+++ b/userguide/binaryclass/news20_adagrad.html
@@ -861,9 +861,9 @@
- <li class="chapter " data-level="5.1" data-path="../misc/prediction.html">
+ <li class="chapter " data-level="5.1" data-path="../supervised_learning/prediction.html">
- <a href="../misc/prediction.html">
+ <a href="../supervised_learning/prediction.html">
<b>5.1.</b>
@@ -876,6 +876,21 @@
</li>
+ <li class="chapter " data-level="5.2" data-path="../supervised_learning/tutorial.html">
+
+ <a href="../supervised_learning/tutorial.html">
+
+
+ <b>5.2.</b>
+
+ Step-by-Step Tutorial on Supervised Learning
+
+ </a>
+
+
+
+ </li>
+
@@ -1228,6 +1243,57 @@
</li>
+ <li class="chapter " data-level="6.8" data-path="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>
+
@@ -2426,7 +2492,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
<script>
var gitbook = gitbook || [];
gitbook.push(function() {
- gitbook.page.hasChanged({"page":{"title":"AdaGradRDA, AdaGrad, AdaDelta","level":"6.3.4","depth":2,"next":{"title":"Random Forest","level":"6.3.5","depth":2,"path":"binaryclass/news20_rf.md","ref":"binaryclass/news20_rf.md","articles":[]},"previous":{"title":"CW, AROW, SCW","level":"6.3.3","depth":2,"path":"binaryclass/news20_scw.md","ref":"binaryclass/news20_scw.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/news20_adagrad.md","mtime":"2017-12-11T08:48:01.127Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-06-06T09:01:20.330Z"},"basePath":"..","book":{"language":""}});
+ gitbook.page.hasChanged({"page":{"title":"AdaGradRDA, AdaGrad, AdaDelta","level":"6.3.4","depth":2,"next":{"title":"Random Forest","level":"6.3.5","depth":2,"path":"binaryclass/news20_rf.md","ref":"binaryclass/news20_rf.md","articles":[]},"previous":{"title":"CW, AROW, SCW","level":"6.3.3","depth":2,"path":"binaryclass/news20_scw.md","ref":"binaryclass/news20_scw.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/news20_adagrad.md","mtime":"2018-08-29T08:55:00.267Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-08-31T06:54:21.013Z"},"basePath":"..","book":{"language":""}});
});
</script>
</div>
@@ -2456,7 +2522,7 @@ 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>
[20/20] incubator-hivemall-site git commit: Added criteo example and
step-by-step guide for general classifier/regressor
Posted by my...@apache.org.
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 <my...@apache.org>
Authored: Fri Aug 31 16:00:24 2018 +0900
Committer: Makoto Yui <my...@apache.org>
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 "s/+1/1/" | sed -e "s/-1/0/" > a9a.train
awk -f conv.awk a9a.t | sed -e "s/+1/1/" | sed -e "s/-1/0/" > 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>
[03/20] incubator-hivemall-site git commit: Added criteo example and
step-by-step guide for general classifier/regressor
Posted by my...@apache.org.
http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/6c6a1b42/userguide/supervised_learning/tutorial.html
----------------------------------------------------------------------
diff --git a/userguide/supervised_learning/tutorial.html b/userguide/supervised_learning/tutorial.html
new file mode 100644
index 0000000..0863296
--- /dev/null
+++ b/userguide/supervised_learning/tutorial.html
@@ -0,0 +1,2982 @@
+
+<!DOCTYPE HTML>
+<html lang="" >
+ <head>
+ <meta charset="UTF-8">
+ <meta content="text/html; charset=utf-8" http-equiv="Content-Type">
+ <title>Step-by-Step Tutorial on Supervised Learning · Hivemall User Manual</title>
+ <meta http-equiv="X-UA-Compatible" content="IE=edge" />
+ <meta name="description" content="">
+ <meta name="generator" content="GitBook 3.2.3">
+
+
+
+
+ <link rel="stylesheet" href="../gitbook/style.css">
+
+
+
+
+ <link rel="stylesheet" href="../gitbook/gitbook-plugin-splitter/splitter.css">
+
+
+
+ <link rel="stylesheet" href="../gitbook/gitbook-plugin-etoc/plugin.css">
+
+
+
+ <link rel="stylesheet" href="../gitbook/gitbook-plugin-callouts/plugin.css">
+
+
+
+ <link rel="stylesheet" href="../gitbook/gitbook-plugin-toggle-chapters/toggle.css">
+
+
+
+ <link rel="stylesheet" href="../gitbook/gitbook-plugin-codeblock-filename/block.css">
+
+
+
+ <link rel="stylesheet" href="../gitbook/gitbook-plugin-expandable-chapters/expandable-chapters.css">
+
+
+
+ <link rel="stylesheet" href="../gitbook/gitbook-plugin-multipart/multipart.css">
+
+
+
+ <link rel="stylesheet" href="../gitbook/gitbook-plugin-katex/katex.min.css">
+
+
+
+ <link rel="stylesheet" href="../gitbook/gitbook-plugin-emphasize/plugin.css">
+
+
+
+ <link rel="stylesheet" href="../gitbook/gitbook-plugin-highlight/website.css">
+
+
+
+ <link rel="stylesheet" href="../gitbook/gitbook-plugin-search/search.css">
+
+
+
+ <link rel="stylesheet" href="../gitbook/gitbook-plugin-fontsettings/website.css">
+
+
+
+ <link rel="stylesheet" href="../gitbook/gitbook-plugin-theme-api/theme-api.css">
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+ <meta name="HandheldFriendly" content="true"/>
+ <meta name="viewport" content="width=device-width, initial-scale=1, user-scalable=no">
+ <meta name="apple-mobile-web-app-capable" content="yes">
+ <meta name="apple-mobile-web-app-status-bar-style" content="black">
+ <link rel="apple-touch-icon-precomposed" sizes="152x152" href="../gitbook/images/apple-touch-icon-precomposed-152.png">
+ <link rel="shortcut icon" href="../gitbook/images/favicon.ico" type="image/x-icon">
+
+
+ <link rel="next" href="../binaryclass/general.html" />
+
+
+ <link rel="prev" href="prediction.html" />
+
+
+ </head>
+ <body>
+
+<div class="book">
+ <div class="book-summary">
+
+
+<div id="book-search-input" role="search">
+ <input type="text" placeholder="Type to search" />
+</div>
+
+
+ <nav role="navigation">
+
+
+
+<ul class="summary">
+
+
+
+
+ <li>
+ <a href="http://hivemall.incubator.apache.org/" target="_blank" class="custom-link"><i class="fa fa-home"></i> Home</a>
+ </li>
+
+
+
+
+ <li class="divider"></li>
+
+
+
+
+ <li class="header">TABLE OF CONTENTS</li>
+
+
+
+ <li class="chapter " data-level="1.1" data-path="../">
+
+ <a href="../">
+
+
+ <b>1.1.</b>
+
+ Introduction
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="1.2" data-path="../getting_started/">
+
+ <a href="../getting_started/">
+
+
+ <b>1.2.</b>
+
+ Getting Started
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="1.2.1" data-path="../getting_started/installation.html">
+
+ <a href="../getting_started/installation.html">
+
+
+ <b>1.2.1.</b>
+
+ Installation
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="1.2.2" data-path="../getting_started/permanent-functions.html">
+
+ <a href="../getting_started/permanent-functions.html">
+
+
+ <b>1.2.2.</b>
+
+ Install as permanent functions
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="1.2.3" data-path="../getting_started/input-format.html">
+
+ <a href="../getting_started/input-format.html">
+
+
+ <b>1.2.3.</b>
+
+ Input Format
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+ <li class="chapter " data-level="1.3" data-path="../misc/funcs.html">
+
+ <a href="../misc/funcs.html">
+
+
+ <b>1.3.</b>
+
+ List of Functions
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="1.4" data-path="../tips/">
+
+ <a href="../tips/">
+
+
+ <b>1.4.</b>
+
+ Tips for Effective Hivemall
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="1.4.1" data-path="../tips/addbias.html">
+
+ <a href="../tips/addbias.html">
+
+
+ <b>1.4.1.</b>
+
+ Explicit add_bias() for better prediction
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="1.4.2" data-path="../tips/rand_amplify.html">
+
+ <a href="../tips/rand_amplify.html">
+
+
+ <b>1.4.2.</b>
+
+ Use rand_amplify() to better prediction results
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="1.4.3" data-path="../tips/rt_prediction.html">
+
+ <a href="../tips/rt_prediction.html">
+
+
+ <b>1.4.3.</b>
+
+ Real-time prediction on RDBMS
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="1.4.4" data-path="../tips/ensemble_learning.html">
+
+ <a href="../tips/ensemble_learning.html">
+
+
+ <b>1.4.4.</b>
+
+ Ensemble learning for stable prediction
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="1.4.5" data-path="../tips/mixserver.html">
+
+ <a href="../tips/mixserver.html">
+
+
+ <b>1.4.5.</b>
+
+ Mixing models for a better prediction convergence (MIX server)
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="1.4.6" data-path="../tips/emr.html">
+
+ <a href="../tips/emr.html">
+
+
+ <b>1.4.6.</b>
+
+ Run Hivemall on Amazon Elastic MapReduce
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+ <li class="chapter " data-level="1.5" data-path="../tips/general_tips.html">
+
+ <a href="../tips/general_tips.html">
+
+
+ <b>1.5.</b>
+
+ General Hive/Hadoop Tips
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="1.5.1" data-path="../tips/rowid.html">
+
+ <a href="../tips/rowid.html">
+
+
+ <b>1.5.1.</b>
+
+ Adding rowid for each row
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="1.5.2" data-path="../tips/hadoop_tuning.html">
+
+ <a href="../tips/hadoop_tuning.html">
+
+
+ <b>1.5.2.</b>
+
+ Hadoop tuning for Hivemall
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+ <li class="chapter " data-level="1.6" data-path="../troubleshooting/">
+
+ <a href="../troubleshooting/">
+
+
+ <b>1.6.</b>
+
+ Troubleshooting
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="1.6.1" data-path="../troubleshooting/oom.html">
+
+ <a href="../troubleshooting/oom.html">
+
+
+ <b>1.6.1.</b>
+
+ OutOfMemoryError in training
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="1.6.2" data-path="../troubleshooting/mapjoin_task_error.html">
+
+ <a href="../troubleshooting/mapjoin_task_error.html">
+
+
+ <b>1.6.2.</b>
+
+ SemanticException generate map join task error: Cannot serialize object
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="1.6.3" data-path="../troubleshooting/asterisk.html">
+
+ <a href="../troubleshooting/asterisk.html">
+
+
+ <b>1.6.3.</b>
+
+ Asterisk argument for UDTF does not work
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="1.6.4" data-path="../troubleshooting/num_mappers.html">
+
+ <a href="../troubleshooting/num_mappers.html">
+
+
+ <b>1.6.4.</b>
+
+ The number of mappers is less than input splits in Hadoop 2.x
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="1.6.5" data-path="../troubleshooting/mapjoin_classcastex.html">
+
+ <a href="../troubleshooting/mapjoin_classcastex.html">
+
+
+ <b>1.6.5.</b>
+
+ Map-side join causes ClassCastException on Tez
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+
+
+
+ <li class="header">Part II - Generic Features</li>
+
+
+
+ <li class="chapter " data-level="2.1" data-path="../misc/generic_funcs.html">
+
+ <a href="../misc/generic_funcs.html">
+
+
+ <b>2.1.</b>
+
+ List of Generic Hivemall Functions
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="2.2" data-path="../misc/topk.html">
+
+ <a href="../misc/topk.html">
+
+
+ <b>2.2.</b>
+
+ Efficient Top-K Query Processing
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="2.3" data-path="../misc/tokenizer.html">
+
+ <a href="../misc/tokenizer.html">
+
+
+ <b>2.3.</b>
+
+ Text Tokenizer
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="2.4" data-path="../misc/approx.html">
+
+ <a href="../misc/approx.html">
+
+
+ <b>2.4.</b>
+
+ Approximate Aggregate Functions
+
+ </a>
+
+
+
+ </li>
+
+
+
+
+ <li class="header">Part III - Feature Engineering</li>
+
+
+
+ <li class="chapter " data-level="3.1" data-path="../ft_engineering/scaling.html">
+
+ <a href="../ft_engineering/scaling.html">
+
+
+ <b>3.1.</b>
+
+ Feature Scaling
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="3.2" data-path="../ft_engineering/hashing.html">
+
+ <a href="../ft_engineering/hashing.html">
+
+
+ <b>3.2.</b>
+
+ Feature Hashing
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="3.3" data-path="../ft_engineering/selection.html">
+
+ <a href="../ft_engineering/selection.html">
+
+
+ <b>3.3.</b>
+
+ Feature Selection
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="3.4" data-path="../ft_engineering/binning.html">
+
+ <a href="../ft_engineering/binning.html">
+
+
+ <b>3.4.</b>
+
+ Feature Binning
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="3.5" data-path="../ft_engineering/pairing.html">
+
+ <a href="../ft_engineering/pairing.html">
+
+
+ <b>3.5.</b>
+
+ Feature Paring
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="3.5.1" data-path="../ft_engineering/polynomial.html">
+
+ <a href="../ft_engineering/polynomial.html">
+
+
+ <b>3.5.1.</b>
+
+ Polynomial features
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+ <li class="chapter " data-level="3.6" data-path="../ft_engineering/ft_trans.html">
+
+ <a href="../ft_engineering/ft_trans.html">
+
+
+ <b>3.6.</b>
+
+ Feature Transformation
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="3.6.1" data-path="../ft_engineering/vectorization.html">
+
+ <a href="../ft_engineering/vectorization.html">
+
+
+ <b>3.6.1.</b>
+
+ Feature vectorization
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="3.6.2" data-path="../ft_engineering/quantify.html">
+
+ <a href="../ft_engineering/quantify.html">
+
+
+ <b>3.6.2.</b>
+
+ Quantify non-number features
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+ <li class="chapter " data-level="3.7" data-path="../ft_engineering/tfidf.html">
+
+ <a href="../ft_engineering/tfidf.html">
+
+
+ <b>3.7.</b>
+
+ TF-IDF Calculation
+
+ </a>
+
+
+
+ </li>
+
+
+
+
+ <li class="header">Part IV - Evaluation</li>
+
+
+
+ <li class="chapter " data-level="4.1" data-path="../eval/binary_classification_measures.html">
+
+ <a href="../eval/binary_classification_measures.html">
+
+
+ <b>4.1.</b>
+
+ Binary Classification Metrics
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="4.1.1" data-path="../eval/auc.html">
+
+ <a href="../eval/auc.html">
+
+
+ <b>4.1.1.</b>
+
+ Area under the ROC curve
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+ <li class="chapter " data-level="4.2" data-path="../eval/multilabel_classification_measures.html">
+
+ <a href="../eval/multilabel_classification_measures.html">
+
+
+ <b>4.2.</b>
+
+ Multi-label Classification Metrics
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="4.3" data-path="../eval/regression.html">
+
+ <a href="../eval/regression.html">
+
+
+ <b>4.3.</b>
+
+ Regression Metrics
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="4.4" data-path="../eval/rank.html">
+
+ <a href="../eval/rank.html">
+
+
+ <b>4.4.</b>
+
+ Ranking Measures
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="4.5" data-path="../eval/datagen.html">
+
+ <a href="../eval/datagen.html">
+
+
+ <b>4.5.</b>
+
+ Data Generation
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="4.5.1" data-path="../eval/lr_datagen.html">
+
+ <a href="../eval/lr_datagen.html">
+
+
+ <b>4.5.1.</b>
+
+ Logistic Regression data generation
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+
+
+
+ <li class="header">Part V - Supervised Learning</li>
+
+
+
+ <li class="chapter " data-level="5.1" data-path="prediction.html">
+
+ <a href="prediction.html">
+
+
+ <b>5.1.</b>
+
+ How Prediction Works
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter active" data-level="5.2" data-path="tutorial.html">
+
+ <a href="tutorial.html">
+
+
+ <b>5.2.</b>
+
+ Step-by-Step Tutorial on Supervised Learning
+
+ </a>
+
+
+
+ </li>
+
+
+
+
+ <li class="header">Part VI - Binary Classification</li>
+
+
+
+ <li class="chapter " data-level="6.1" data-path="../binaryclass/general.html">
+
+ <a href="../binaryclass/general.html">
+
+
+ <b>6.1.</b>
+
+ Binary Classification
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="6.2" data-path="../binaryclass/a9a.html">
+
+ <a href="../binaryclass/a9a.html">
+
+
+ <b>6.2.</b>
+
+ a9a Tutorial
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="6.2.1" data-path="../binaryclass/a9a_dataset.html">
+
+ <a href="../binaryclass/a9a_dataset.html">
+
+
+ <b>6.2.1.</b>
+
+ Data preparation
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="6.2.2" data-path="../binaryclass/a9a_lr.html">
+
+ <a href="../binaryclass/a9a_lr.html">
+
+
+ <b>6.2.2.</b>
+
+ Logistic Regression
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="6.2.3" data-path="../binaryclass/a9a_minibatch.html">
+
+ <a href="../binaryclass/a9a_minibatch.html">
+
+
+ <b>6.2.3.</b>
+
+ Mini-batch gradient descent
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+ <li class="chapter " data-level="6.3" data-path="../binaryclass/news20.html">
+
+ <a href="../binaryclass/news20.html">
+
+
+ <b>6.3.</b>
+
+ News20 Tutorial
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="6.3.1" data-path="../binaryclass/news20_dataset.html">
+
+ <a href="../binaryclass/news20_dataset.html">
+
+
+ <b>6.3.1.</b>
+
+ Data preparation
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="6.3.2" data-path="../binaryclass/news20_pa.html">
+
+ <a href="../binaryclass/news20_pa.html">
+
+
+ <b>6.3.2.</b>
+
+ Perceptron, Passive Aggressive
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="6.3.3" data-path="../binaryclass/news20_scw.html">
+
+ <a href="../binaryclass/news20_scw.html">
+
+
+ <b>6.3.3.</b>
+
+ CW, AROW, SCW
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="6.3.4" data-path="../binaryclass/news20_adagrad.html">
+
+ <a href="../binaryclass/news20_adagrad.html">
+
+
+ <b>6.3.4.</b>
+
+ AdaGradRDA, AdaGrad, AdaDelta
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="6.3.5" data-path="../binaryclass/news20_rf.html">
+
+ <a href="../binaryclass/news20_rf.html">
+
+
+ <b>6.3.5.</b>
+
+ Random Forest
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+ <li class="chapter " data-level="6.4" data-path="../binaryclass/kdd2010a.html">
+
+ <a href="../binaryclass/kdd2010a.html">
+
+
+ <b>6.4.</b>
+
+ KDD2010a Tutorial
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="6.4.1" data-path="../binaryclass/kdd2010a_dataset.html">
+
+ <a href="../binaryclass/kdd2010a_dataset.html">
+
+
+ <b>6.4.1.</b>
+
+ Data preparation
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="6.4.2" data-path="../binaryclass/kdd2010a_scw.html">
+
+ <a href="../binaryclass/kdd2010a_scw.html">
+
+
+ <b>6.4.2.</b>
+
+ PA, CW, AROW, SCW
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+ <li class="chapter " data-level="6.5" data-path="../binaryclass/kdd2010b.html">
+
+ <a href="../binaryclass/kdd2010b.html">
+
+
+ <b>6.5.</b>
+
+ KDD2010b Tutorial
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="6.5.1" data-path="../binaryclass/kdd2010b_dataset.html">
+
+ <a href="../binaryclass/kdd2010b_dataset.html">
+
+
+ <b>6.5.1.</b>
+
+ Data preparation
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="6.5.2" data-path="../binaryclass/kdd2010b_arow.html">
+
+ <a href="../binaryclass/kdd2010b_arow.html">
+
+
+ <b>6.5.2.</b>
+
+ AROW
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+ <li class="chapter " data-level="6.6" data-path="../binaryclass/webspam.html">
+
+ <a href="../binaryclass/webspam.html">
+
+
+ <b>6.6.</b>
+
+ Webspam Tutorial
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="6.6.1" data-path="../binaryclass/webspam_dataset.html">
+
+ <a href="../binaryclass/webspam_dataset.html">
+
+
+ <b>6.6.1.</b>
+
+ Data pareparation
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="6.6.2" data-path="../binaryclass/webspam_scw.html">
+
+ <a href="../binaryclass/webspam_scw.html">
+
+
+ <b>6.6.2.</b>
+
+ PA1, AROW, SCW
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+ <li class="chapter " data-level="6.7" data-path="../binaryclass/titanic_rf.html">
+
+ <a href="../binaryclass/titanic_rf.html">
+
+
+ <b>6.7.</b>
+
+ Kaggle Titanic Tutorial
+
+ </a>
+
+
+
+ </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>
+
+
+
+
+ <li class="header">Part VII - Multiclass Classification</li>
+
+
+
+ <li class="chapter " data-level="7.1" data-path="../multiclass/news20.html">
+
+ <a href="../multiclass/news20.html">
+
+
+ <b>7.1.</b>
+
+ News20 Multiclass Tutorial
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="7.1.1" data-path="../multiclass/news20_dataset.html">
+
+ <a href="../multiclass/news20_dataset.html">
+
+
+ <b>7.1.1.</b>
+
+ Data preparation
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="7.1.2" data-path="../multiclass/news20_one-vs-the-rest_dataset.html">
+
+ <a href="../multiclass/news20_one-vs-the-rest_dataset.html">
+
+
+ <b>7.1.2.</b>
+
+ Data preparation for one-vs-the-rest classifiers
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="7.1.3" data-path="../multiclass/news20_pa.html">
+
+ <a href="../multiclass/news20_pa.html">
+
+
+ <b>7.1.3.</b>
+
+ PA
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="7.1.4" data-path="../multiclass/news20_scw.html">
+
+ <a href="../multiclass/news20_scw.html">
+
+
+ <b>7.1.4.</b>
+
+ CW, AROW, SCW
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="7.1.5" data-path="../multiclass/news20_ensemble.html">
+
+ <a href="../multiclass/news20_ensemble.html">
+
+
+ <b>7.1.5.</b>
+
+ Ensemble learning
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="7.1.6" data-path="../multiclass/news20_one-vs-the-rest.html">
+
+ <a href="../multiclass/news20_one-vs-the-rest.html">
+
+
+ <b>7.1.6.</b>
+
+ one-vs-the-rest classifier
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+ <li class="chapter " data-level="7.2" data-path="../multiclass/iris.html">
+
+ <a href="../multiclass/iris.html">
+
+
+ <b>7.2.</b>
+
+ Iris Tutorial
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="7.2.1" data-path="../multiclass/iris_dataset.html">
+
+ <a href="../multiclass/iris_dataset.html">
+
+
+ <b>7.2.1.</b>
+
+ Data preparation
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="7.2.2" data-path="../multiclass/iris_scw.html">
+
+ <a href="../multiclass/iris_scw.html">
+
+
+ <b>7.2.2.</b>
+
+ SCW
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="7.2.3" data-path="../multiclass/iris_randomforest.html">
+
+ <a href="../multiclass/iris_randomforest.html">
+
+
+ <b>7.2.3.</b>
+
+ Random Forest
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+
+
+
+ <li class="header">Part VIII - Regression</li>
+
+
+
+ <li class="chapter " data-level="8.1" data-path="../regression/general.html">
+
+ <a href="../regression/general.html">
+
+
+ <b>8.1.</b>
+
+ Regression
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="8.2" data-path="../regression/e2006.html">
+
+ <a href="../regression/e2006.html">
+
+
+ <b>8.2.</b>
+
+ E2006-tfidf Regression Tutorial
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="8.2.1" data-path="../regression/e2006_dataset.html">
+
+ <a href="../regression/e2006_dataset.html">
+
+
+ <b>8.2.1.</b>
+
+ Data preparation
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="8.2.2" data-path="../regression/e2006_arow.html">
+
+ <a href="../regression/e2006_arow.html">
+
+
+ <b>8.2.2.</b>
+
+ Passive Aggressive, AROW
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+ <li class="chapter " data-level="8.3" data-path="../regression/kddcup12tr2.html">
+
+ <a href="../regression/kddcup12tr2.html">
+
+
+ <b>8.3.</b>
+
+ KDDCup 2012 Track 2 CTR Prediction Tutorial
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="8.3.1" data-path="../regression/kddcup12tr2_dataset.html">
+
+ <a href="../regression/kddcup12tr2_dataset.html">
+
+
+ <b>8.3.1.</b>
+
+ Data preparation
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="8.3.2" data-path="../regression/kddcup12tr2_lr.html">
+
+ <a href="../regression/kddcup12tr2_lr.html">
+
+
+ <b>8.3.2.</b>
+
+ Logistic Regression, Passive Aggressive
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="8.3.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
+
+ <a href="../regression/kddcup12tr2_lr_amplify.html">
+
+
+ <b>8.3.3.</b>
+
+ Logistic Regression with amplifier
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="8.3.4" data-path="../regression/kddcup12tr2_adagrad.html">
+
+ <a href="../regression/kddcup12tr2_adagrad.html">
+
+
+ <b>8.3.4.</b>
+
+ AdaGrad, AdaDelta
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+
+
+
+ <li class="header">Part IX - Recommendation</li>
+
+
+
+ <li class="chapter " data-level="9.1" data-path="../recommend/cf.html">
+
+ <a href="../recommend/cf.html">
+
+
+ <b>9.1.</b>
+
+ Collaborative Filtering
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="9.1.1" data-path="../recommend/item_based_cf.html">
+
+ <a href="../recommend/item_based_cf.html">
+
+
+ <b>9.1.1.</b>
+
+ Item-based collaborative filtering
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+ <li class="chapter " data-level="9.2" data-path="../recommend/news20.html">
+
+ <a href="../recommend/news20.html">
+
+
+ <b>9.2.</b>
+
+ News20 Related Article Recommendation Tutorial
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="9.2.1" data-path="../multiclass/news20_dataset.html">
+
+ <a href="../multiclass/news20_dataset.html">
+
+
+ <b>9.2.1.</b>
+
+ Data preparation
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="9.2.2" data-path="../recommend/news20_jaccard.html">
+
+ <a href="../recommend/news20_jaccard.html">
+
+
+ <b>9.2.2.</b>
+
+ LSH/MinHash and Jaccard similarity
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="9.2.3" data-path="../recommend/news20_knn.html">
+
+ <a href="../recommend/news20_knn.html">
+
+
+ <b>9.2.3.</b>
+
+ LSH/MinHash and brute-force search
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="9.2.4" data-path="../recommend/news20_bbit_minhash.html">
+
+ <a href="../recommend/news20_bbit_minhash.html">
+
+
+ <b>9.2.4.</b>
+
+ kNN search using b-Bits MinHash
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+ <li class="chapter " data-level="9.3" data-path="../recommend/movielens.html">
+
+ <a href="../recommend/movielens.html">
+
+
+ <b>9.3.</b>
+
+ MovieLens Movie Recommendation Tutorial
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="9.3.1" data-path="../recommend/movielens_dataset.html">
+
+ <a href="../recommend/movielens_dataset.html">
+
+
+ <b>9.3.1.</b>
+
+ Data preparation
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="9.3.2" data-path="../recommend/movielens_cf.html">
+
+ <a href="../recommend/movielens_cf.html">
+
+
+ <b>9.3.2.</b>
+
+ Item-based collaborative filtering
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="9.3.3" data-path="../recommend/movielens_mf.html">
+
+ <a href="../recommend/movielens_mf.html">
+
+
+ <b>9.3.3.</b>
+
+ Matrix Factorization
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="9.3.4" data-path="../recommend/movielens_fm.html">
+
+ <a href="../recommend/movielens_fm.html">
+
+
+ <b>9.3.4.</b>
+
+ Factorization Machine
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="9.3.5" data-path="../recommend/movielens_slim.html">
+
+ <a href="../recommend/movielens_slim.html">
+
+
+ <b>9.3.5.</b>
+
+ SLIM for fast top-k recommendation
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="9.3.6" data-path="../recommend/movielens_cv.html">
+
+ <a href="../recommend/movielens_cv.html">
+
+
+ <b>9.3.6.</b>
+
+ 10-fold cross validation (Matrix Factorization)
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+
+
+
+ <li class="header">Part X - Anomaly Detection</li>
+
+
+
+ <li class="chapter " data-level="10.1" data-path="../anomaly/lof.html">
+
+ <a href="../anomaly/lof.html">
+
+
+ <b>10.1.</b>
+
+ Outlier Detection using Local Outlier Factor (LOF)
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="10.2" data-path="../anomaly/sst.html">
+
+ <a href="../anomaly/sst.html">
+
+
+ <b>10.2.</b>
+
+ Change-Point Detection using Singular Spectrum Transformation (SST)
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="10.3" data-path="../anomaly/changefinder.html">
+
+ <a href="../anomaly/changefinder.html">
+
+
+ <b>10.3.</b>
+
+ ChangeFinder: Detecting Outlier and Change-Point Simultaneously
+
+ </a>
+
+
+
+ </li>
+
+
+
+
+ <li class="header">Part XI - Clustering</li>
+
+
+
+ <li class="chapter " data-level="11.1" data-path="../clustering/lda.html">
+
+ <a href="../clustering/lda.html">
+
+
+ <b>11.1.</b>
+
+ Latent Dirichlet Allocation
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="11.2" data-path="../clustering/plsa.html">
+
+ <a href="../clustering/plsa.html">
+
+
+ <b>11.2.</b>
+
+ Probabilistic Latent Semantic Analysis
+
+ </a>
+
+
+
+ </li>
+
+
+
+
+ <li class="header">Part XII - GeoSpatial Functions</li>
+
+
+
+ <li class="chapter " data-level="12.1" data-path="../geospatial/latlon.html">
+
+ <a href="../geospatial/latlon.html">
+
+
+ <b>12.1.</b>
+
+ Lat/Lon functions
+
+ </a>
+
+
+
+ </li>
+
+
+
+
+ <li class="header">Part XIII - Hivemall on Spark</li>
+
+
+
+ <li class="chapter " data-level="13.1" data-path="../spark/getting_started/">
+
+ <a href="../spark/getting_started/">
+
+
+ <b>13.1.</b>
+
+ Getting Started
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="13.1.1" data-path="../spark/getting_started/installation.html">
+
+ <a href="../spark/getting_started/installation.html">
+
+
+ <b>13.1.1.</b>
+
+ Installation
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+ <li class="chapter " data-level="13.2" data-path="../spark/binaryclass/">
+
+ <a href="../spark/binaryclass/">
+
+
+ <b>13.2.</b>
+
+ Binary Classification
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="13.2.1" data-path="../spark/binaryclass/a9a_df.html">
+
+ <a href="../spark/binaryclass/a9a_df.html">
+
+
+ <b>13.2.1.</b>
+
+ a9a tutorial for DataFrame
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="13.2.2" data-path="../spark/binaryclass/a9a_sql.html">
+
+ <a href="../spark/binaryclass/a9a_sql.html">
+
+
+ <b>13.2.2.</b>
+
+ a9a tutorial for SQL
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+ <li class="chapter " data-level="13.3" data-path="../spark/binaryclass/">
+
+ <a href="../spark/binaryclass/">
+
+
+ <b>13.3.</b>
+
+ Regression
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="13.3.1" data-path="../spark/regression/e2006_df.html">
+
+ <a href="../spark/regression/e2006_df.html">
+
+
+ <b>13.3.1.</b>
+
+ E2006-tfidf regression tutorial for DataFrame
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="13.3.2" data-path="../spark/regression/e2006_sql.html">
+
+ <a href="../spark/regression/e2006_sql.html">
+
+
+ <b>13.3.2.</b>
+
+ E2006-tfidf regression tutorial for SQL
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+ <li class="chapter " data-level="13.4" data-path="../spark/misc/misc.html">
+
+ <a href="../spark/misc/misc.html">
+
+
+ <b>13.4.</b>
+
+ Generic features
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="13.4.1" data-path="../spark/misc/topk_join.html">
+
+ <a href="../spark/misc/topk_join.html">
+
+
+ <b>13.4.1.</b>
+
+ Top-k join processing
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="13.4.2" data-path="../spark/misc/functions.html">
+
+ <a href="../spark/misc/functions.html">
+
+
+ <b>13.4.2.</b>
+
+ Other utility functions
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+
+
+
+ <li class="header">Part XIV - Hivemall on Docker</li>
+
+
+
+ <li class="chapter " data-level="14.1" data-path="../docker/getting_started.html">
+
+ <a href="../docker/getting_started.html">
+
+
+ <b>14.1.</b>
+
+ Getting Started
+
+ </a>
+
+
+
+ </li>
+
+
+
+
+ <li class="header">Part XIV - External References</li>
+
+
+
+ <li class="chapter " data-level="15.1" >
+
+ <a target="_blank" href="https://github.com/daijyc/hivemall/wiki/PigHome">
+
+
+ <b>15.1.</b>
+
+ Hivemall on Apache Pig
+
+ </a>
+
+
+
+ </li>
+
+
+
+
+ <li class="divider"></li>
+
+ <li>
+ <a href="https://www.gitbook.com" target="blank" class="gitbook-link">
+ Published with GitBook
+ </a>
+ </li>
+</ul>
+
+
+ </nav>
+
+
+ </div>
+
+ <div class="book-body">
+
+ <div class="body-inner">
+
+
+
+<div class="book-header" role="navigation">
+
+
+ <!-- Title -->
+ <h1>
+ <i class="fa fa-circle-o-notch fa-spin"></i>
+ <a href=".." >Step-by-Step Tutorial on Supervised Learning</a>
+ </h1>
+</div>
+
+
+
+
+ <div class="page-wrapper" tabindex="-1" role="main">
+ <div class="page-inner">
+
+<div id="book-search-results">
+ <div class="search-noresults">
+
+ <section class="normal markdown-section">
+
+ <!--
+ Licensed to the Apache Software Foundation (ASF) under one
+ or more contributor license agreements. See the NOTICE file
+ distributed with this work for additional information
+ regarding copyright ownership. The ASF licenses this file
+ to you under the Apache License, Version 2.0 (the
+ "License"); you may not use this file except in compliance
+ with the License. You may obtain a copy of the License at
+
+ http://www.apache.org/licenses/LICENSE-2.0
+
+ Unless required by applicable law or agreed to in writing,
+ software distributed under the License is distributed on an
+ "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ KIND, either express or implied. See the License for the
+ specific language governing permissions and limitations
+ under the License.
+-->
+<h1 id="step-by-step-tutorial-on-supervised-learning">Step-by-Step Tutorial on Supervised Learning</h1>
+<!-- toc --><div id="toc" class="toc">
+
+<ul>
+<li><a href="#what-is-hivemall">What is Hivemall?</a></li>
+<li><a href="#binary-classification">Binary classification</a><ul>
+<li><a href="#step-1-feature-representation">Step 1. Feature representation</a></li>
+<li><a href="#step-2-training">Step 2. Training</a></li>
+<li><a href="#step-3-prediction">Step 3. Prediction</a></li>
+<li><a href="#evaluation">Evaluation</a></li>
+</ul>
+</li>
+<li><a href="#regression">Regression</a><ul>
+<li><a href="#step-1-feature-representation-1">Step 1. Feature representation</a></li>
+<li><a href="#step-2-training-1">Step 2. Training</a></li>
+<li><a href="#step-3-prediction-1">Step 3. Prediction</a></li>
+<li><a href="#evaluation-1">Evaluation</a></li>
+</ul>
+</li>
+<li><a href="#next-steps">Next steps</a></li>
+</ul>
+
+</div><!-- tocstop -->
+<h2 id="what-is-hivemall">What is Hivemall?</h2>
+<p><a href="https://github.com/apache/incubator-hivemall" target="_blank">Apache Hivemall</a> is a collection of user-defined functions (UDFs) for HiveQL which is strongly optimized for machine learning (ML) and data science. To give an example, you can efficiently build a logistic regression model with the stochastic gradient descent (SGD) optimization by issuing the following ~10 lines of query:</p>
+<pre><code class="lang-sql"><span class="hljs-keyword">SELECT</span>
+ train_classifier(
+ features,
+ label,
+ <span class="hljs-string">'-loss_function logloss -optimizer SGD'</span>
+ ) <span class="hljs-keyword">as</span> (feature, weight)
+<span class="hljs-keyword">FROM</span>
+ training
+;
+</code></pre>
+<p>Hivemall function <a href="../misc/funcs.html#others"><code>hivemall_version()</code></a> shows current Hivemall version, for example:</p>
+<pre><code class="lang-sql"><span class="hljs-keyword">select</span> hivemall_version();
+</code></pre>
+<blockquote>
+<p>"0.5.1-incubating-SNAPSHOT"</p>
+</blockquote>
+<p>Below we list ML and relevant problems that Hivemall can solve:</p>
+<ul>
+<li><a href="../binaryclass/general.html">Binary and multi-class classification</a></li>
+<li><a href="../regression/general.html">Regression</a></li>
+<li><a href="../recommend/cf.html">Recommendation</a></li>
+<li><a href="../anomaly/lof.html">Anomaly detection</a></li>
+<li><a href="../misc/tokenizer.html">Natural language processing</a></li>
+<li><a href="../misc/tokenizer.html">Clustering</a> (i.e., topic modeling)</li>
+<li><a href="../misc/funcs.html#sketching">Data sketching</a></li>
+<li>Evaluation</li>
+</ul>
+<p>Our <a href="https://www.youtube.com/watch?v=cMUsuA9KZ_c" target="_blank">YouTube demo video</a> would be helpful to understand more about an overview of Hivemall.</p>
+<p>This tutorial explains the basic usage of Hivemall with examples of supervised learning of simple regressor and binary classifier.</p>
+<h2 id="binary-classification">Binary classification</h2>
+<p>Imagine a scenario that we like to build a binary classifier from the mock <code>purchase_history</code> data and predict unforeseen purchases to conduct a new campaign effectively:</p>
+<table>
+<thead>
+<tr>
+<th style="text-align:center">day_of_week</th>
+<th style="text-align:center">gender</th>
+<th style="text-align:center">price</th>
+<th style="text-align:center">category</th>
+<th style="text-align:left">label</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td style="text-align:center">Saturday</td>
+<td style="text-align:center">male</td>
+<td style="text-align:center">600</td>
+<td style="text-align:center">book</td>
+<td style="text-align:left">1</td>
+</tr>
+<tr>
+<td style="text-align:center">Friday</td>
+<td style="text-align:center">female</td>
+<td style="text-align:center">4800</td>
+<td style="text-align:center">sports</td>
+<td style="text-align:left">0</td>
+</tr>
+<tr>
+<td style="text-align:center">Friday</td>
+<td style="text-align:center">other</td>
+<td style="text-align:center">18000</td>
+<td style="text-align:center">entertainment</td>
+<td style="text-align:left">0</td>
+</tr>
+<tr>
+<td style="text-align:center">Thursday</td>
+<td style="text-align:center">male</td>
+<td style="text-align:center">200</td>
+<td style="text-align:center">food</td>
+<td style="text-align:left">0</td>
+</tr>
+<tr>
+<td style="text-align:center">Wednesday</td>
+<td style="text-align:center">female</td>
+<td style="text-align:center">1000</td>
+<td style="text-align:center">electronics</td>
+<td style="text-align:left">1</td>
+</tr>
+</tbody>
+</table>
+<p>You can create this table as follows:</p>
+<pre><code class="lang-sql"><span class="hljs-keyword">create</span> <span class="hljs-keyword">table</span> <span class="hljs-keyword">if</span> <span class="hljs-keyword">not</span> <span class="hljs-keyword">exists</span> purchase_history <span class="hljs-keyword">as</span>
+<span class="hljs-keyword">select</span> <span class="hljs-number">1</span> <span class="hljs-keyword">as</span> <span class="hljs-keyword">id</span>, <span class="hljs-string">"Saturday"</span> <span class="hljs-keyword">as</span> day_of_week, <span class="hljs-string">"male"</span> <span class="hljs-keyword">as</span> gender, <span class="hljs-number">600</span> <span class="hljs-keyword">as</span> price, <span class="hljs-string">"book"</span> <span class="hljs-keyword">as</span> <span class="hljs-keyword">category</span>, <span class="hljs-number">1</span> <span class="hljs-keyword">as</span> label
+<span class="hljs-keyword">union</span> all
+<span class="hljs-keyword">select</span> <span class="hljs-number">2</span> <span class="hljs-keyword">as</span> <span class="hljs-keyword">id</span>, <span class="hljs-string">"Friday"</span> <span class="hljs-keyword">as</span> day_of_week, <span class="hljs-string">"female"</span> <span class="hljs-keyword">as</span> gender, <span class="hljs-number">4800</span> <span class="hljs-keyword">as</span> price, <span class="hljs-string">"sports"</span> <span class="hljs-keyword">as</span> <span class="hljs-keyword">category</span>, <span class="hljs-number">0</span> <span class="hljs-keyword">as</span> label
+<span class="hljs-keyword">union</span> all
+<span class="hljs-keyword">select</span> <span class="hljs-number">3</span> <span class="hljs-keyword">as</span> <span class="hljs-keyword">id</span>, <span class="hljs-string">"Friday"</span> <span class="hljs-keyword">as</span> day_of_week, <span class="hljs-string">"other"</span> <span class="hljs-keyword">as</span> gender, <span class="hljs-number">18000</span> <span class="hljs-keyword">as</span> price, <span class="hljs-string">"entertainment"</span> <span class="hljs-keyword">as</span> <span class="hljs-keyword">category</span>, <span class="hljs-number">0</span> <span class="hljs-keyword">as</span> label
+<span class="hljs-keyword">union</span> all
+<span class="hljs-keyword">select</span> <span class="hljs-number">4</span> <span class="hljs-keyword">as</span> <span class="hljs-keyword">id</span>, <span class="hljs-string">"Thursday"</span> <span class="hljs-keyword">as</span> day_of_week, <span class="hljs-string">"male"</span> <span class="hljs-keyword">as</span> gender, <span class="hljs-number">200</span> <span class="hljs-keyword">as</span> price, <span class="hljs-string">"food"</span> <span class="hljs-keyword">as</span> <span class="hljs-keyword">category</span>, <span class="hljs-number">0</span> <span class="hljs-keyword">as</span> label
+<span class="hljs-keyword">union</span> all
+<span class="hljs-keyword">select</span> <span class="hljs-number">5</span> <span class="hljs-keyword">as</span> <span class="hljs-keyword">id</span>, <span class="hljs-string">"Wednesday"</span> <span class="hljs-keyword">as</span> day_of_week, <span class="hljs-string">"female"</span> <span class="hljs-keyword">as</span> gender, <span class="hljs-number">1000</span> <span class="hljs-keyword">as</span> price, <span class="hljs-string">"electronics"</span> <span class="hljs-keyword">as</span> <span class="hljs-keyword">category</span>, <span class="hljs-number">1</span> <span class="hljs-keyword">as</span> label
+;
+</code></pre>
+<p>Use Hivemall <a href="../misc/funcs.html#binary-classification"><code>train_classifier()</code></a> UDF to tackle the problem as follows.</p>
+<h3 id="step-1-feature-representation">Step 1. Feature representation</h3>
+<p>First of all, we have to convert the records into pairs of the feature vector and corresponding target value. Here, Hivemall requires you to represent input features in a specific format.</p>
+<p>To be more precise, Hivemall represents single feature in a concatenation of <strong>index</strong> (i.e., <strong>name</strong>) and its <strong>value</strong>:</p>
+<ul>
+<li>Quantitative feature: <code><index>:<value></code><ul>
+<li>e.g., <code>price:600.0</code></li>
+</ul>
+</li>
+<li>Categorical feature: <code><index>#<value></code><ul>
+<li>e.g., <code>gender#male</code></li>
+</ul>
+</li>
+</ul>
+<p>Feature index and feature value are separated by comma. When comma is omitted, the value is considered to be <code>1.0</code>. So, a categorical feature <code>gender#male</code> a <a href="https://www.quora.com/What-is-one-hot-encoding-and-when-is-it-used-in-data-science" target="_blank">one-hot representation</a> of <code>index := gender#male</code> and <code>value := 1.0</code>. Note that <code>#</code> is not a special character for categorical feature.</p>
+<p>Each of those features is a string value in Hive, and "feature vector" means an array of string values like:</p>
+<pre><code>["price:600.0", "day of week#Saturday", "gender#male", "category#book"]
+</code></pre><p>See also more detailed <a href="../getting_started/input-format.html">document for input format</a>.</p>
+<p>Therefore, what we first need to do is to convert the records into an array of feature strings, and Hivemall functions <a href="../getting_started/input-format.html#quantitative-features"><code>quantitative_features()</code></a>, <a href="../getting_started/input-format.html#categorical-features"><code>categorical_features()</code></a> and <a href="../misc/generic_funcs.html#array"><code>array_concat()</code></a> provide a simple way to create the pairs of feature vector and target value:</p>
+<pre><code class="lang-sql"><span class="hljs-keyword">create</span> <span class="hljs-keyword">table</span> <span class="hljs-keyword">if</span> <span class="hljs-keyword">not</span> <span class="hljs-keyword">exists</span> training <span class="hljs-keyword">as</span>
+<span class="hljs-keyword">select</span>
+ <span class="hljs-keyword">id</span>,
+ array_concat( <span class="hljs-comment">-- concatenate two arrays of quantitative and categorical features into single array</span>
+ quantitative_features(
+ <span class="hljs-built_in">array</span>(<span class="hljs-string">"price"</span>), <span class="hljs-comment">-- quantitative feature names</span>
+ price <span class="hljs-comment">-- corresponding column names</span>
+ ),
+ categorical_features(
+ <span class="hljs-built_in">array</span>(<span class="hljs-string">"day of week"</span>, <span class="hljs-string">"gender"</span>, <span class="hljs-string">"category"</span>), <span class="hljs-comment">-- categorical feature names</span>
+ day_of_week, gender, <span class="hljs-keyword">category</span> <span class="hljs-comment">-- corresponding column names</span>
+ )
+ ) <span class="hljs-keyword">as</span> features,
+ label
+<span class="hljs-keyword">from</span>
+ purchase_history
+;
+</code></pre>
+<p>The training table is as follows:</p>
+<table>
+<thead>
+<tr>
+<th style="text-align:center">id</th>
+<th style="text-align:left">features</th>
+<th style="text-align:left">label</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td style="text-align:center">1</td>
+<td style="text-align:left">["price:600.0","day of week#Saturday","gender#male","category#book"]</td>
+<td style="text-align:left">1</td>
+</tr>
+<tr>
+<td style="text-align:center">2</td>
+<td style="text-align:left">["price:4800.0","day of week#Friday","gender#female","category#sports"]</td>
+<td style="text-align:left">0</td>
+</tr>
+<tr>
+<td style="text-align:center">3</td>
+<td style="text-align:left">["price:18000.0","day of week#Friday","gender#other","category#entertainment"]</td>
+<td style="text-align:left">0</td>
+</tr>
+<tr>
+<td style="text-align:center">4</td>
+<td style="text-align:left">["price:200.0","day of week#Thursday","gender#male","category#food"]</td>
+<td style="text-align:left">0</td>
+</tr>
+<tr>
+<td style="text-align:center">5</td>
+<td style="text-align:left">["price:1000.0","day of week#Wednesday","gender#female","category#electronics"]</td>
+<td style="text-align:left">1</td>
+</tr>
+</tbody>
+</table>
+<p>The output table <code>training</code> will be directly used as an input to Hivemall's ML functions in the next step.</p>
+<div class="panel panel-primary"><div class="panel-heading"><h3 class="panel-title" id="note"><i class="fa fa-edit"></i> Note</h3></div><div class="panel-body"><p>You can apply extra Hivemall functions (e.g., <a href="../misc/funcs.html#feature-scaling"><code>rescale()</code></a>, <a href="../misc/funcs.html#feature-hashing"><code>feature_hashing()</code></a>, <a href="../misc/funcs.html#feature-scaling"><code>l1_normalize()</code></a>) for the features in this step to make your prediction model more accurate and stable; it is known as <em>feature engineering</em> in the context of ML. See our <a href="../ft_engineering/scaling.html">documentation</a> for more information.</p></div></div>
+<h3 id="step-2-training">Step 2. Training</h3>
+<p>Once the original table <code>purchase_history</code> has been converted into pairs of <code>features</code> and <code>label</code>, you can build a binary classifier by running the following query:</p>
+<pre><code class="lang-sql"><span class="hljs-keyword">create</span> <span class="hljs-keyword">table</span> <span class="hljs-keyword">if</span> <span class="hljs-keyword">not</span> <span class="hljs-keyword">exists</span> classifier <span class="hljs-keyword">as</span>
+<span class="hljs-keyword">select</span>
+ train_classifier(
+ features, <span class="hljs-comment">-- feature vector</span>
+ label, <span class="hljs-comment">-- target value</span>
+ <span class="hljs-string">'-loss_function logloss -optimizer SGD -regularization l1'</span> <span class="hljs-comment">-- hyper-parameters</span>
+ ) <span class="hljs-keyword">as</span> (feature, weight)
+<span class="hljs-keyword">from</span>
+ training
+;
+</code></pre>
+<p>What the above query does is to build a binary classifier with:</p>
+<ul>
+<li><code>-loss_function logloss</code><ul>
+<li>Use logistic loss i.e., logistic regression</li>
+</ul>
+</li>
+<li><code>-optimizer SGD</code><ul>
+<li>Learn model parameters with the SGD optimization</li>
+</ul>
+</li>
+<li><code>-regularization l1</code><ul>
+<li>Apply L1 regularization</li>
+</ul>
+</li>
+</ul>
+<p>Eventually, the output table <code>classifier</code> stores model parameters as:</p>
+<table>
+<thead>
+<tr>
+<th style="text-align:center">feature</th>
+<th style="text-align:center">weight</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td style="text-align:center">day of week#Wednesday</td>
+<td style="text-align:center">0.7443372011184692</td>
+</tr>
+<tr>
+<td style="text-align:center">day of week#Thursday</td>
+<td style="text-align:center">1.415687620465178e-07</td>
+</tr>
+<tr>
+<td style="text-align:center">day of week#Friday</td>
+<td style="text-align:center">-0.2697019577026367</td>
+</tr>
+<tr>
+<td style="text-align:center">day of week#Saturday</td>
+<td style="text-align:center">0.7337419390678406</td>
+</tr>
+<tr>
+<td style="text-align:center">category#book</td>
+<td style="text-align:center">0.7337419390678406</td>
+</tr>
+<tr>
+<td style="text-align:center">category#electronics</td>
+<td style="text-align:center">0.7443372011184692</td>
+</tr>
+<tr>
+<td style="text-align:center">category#entertainment</td>
+<td style="text-align:center">5.039264578954317e-07</td>
+</tr>
+<tr>
+<td style="text-align:center">category#food</td>
+<td style="text-align:center">1.415687620465178e-07</td>
+</tr>
+<tr>
+<td style="text-align:center">category#sports</td>
+<td style="text-align:center">-0.2697771489620209</td>
+</tr>
+<tr>
+<td style="text-align:center">gender#male</td>
+<td style="text-align:center">0.7336684465408325</td>
+</tr>
+<tr>
+<td style="text-align:center">gender#female</td>
+<td style="text-align:center">0.47442761063575745</td>
+</tr>
+<tr>
+<td style="text-align:center">gender#other</td>
+<td style="text-align:center">5.039264578954317e-07</td>
+</tr>
+<tr>
+<td style="text-align:center">price</td>
+<td style="text-align:center">-110.62307739257812</td>
+</tr>
+</tbody>
+</table>
+<p>Notice that weight is learned for each possible value in a categorical feature, and for every single quantitative feature.</p>
+<p>Of course, you can optimize hyper-parameters to build more accurate prediction model. Check the output of the following query to see all available options, including learning rate, number of iterations and regularization parameters, and their default values:</p>
+<pre><code class="lang-sql"><span class="hljs-keyword">select</span> train_classifier(<span class="hljs-built_in">array</span>(), <span class="hljs-number">0</span>, <span class="hljs-string">'-help'</span>);
+</code></pre>
+<h3 id="step-3-prediction">Step 3. Prediction</h3>
+<p>Now, the table <code>classifier</code> has liner coefficients for given features, and we can predict unforeseen samples by computing a weighted sum of their features.</p>
+<p>How about the probability of purchase by a <code>male</code> customer who sees a <code>food</code> product priced at <code>120</code> on <code>Friday</code>? Which product is more likely to be purchased by the customer on <code>Friday</code>?</p>
+<p>To differentiate potential purchases, create a <code>unforeseen_samples</code> table with these unknown combinations of features:</p>
+<pre><code class="lang-sql"><span class="hljs-keyword">create</span> <span class="hljs-keyword">table</span> <span class="hljs-keyword">if</span> <span class="hljs-keyword">not</span> <span class="hljs-keyword">exists</span> unforeseen_samples <span class="hljs-keyword">as</span>
+<span class="hljs-keyword">select</span> <span class="hljs-number">1</span> <span class="hljs-keyword">as</span> <span class="hljs-keyword">id</span>, <span class="hljs-built_in">array</span>(<span class="hljs-string">"gender#male"</span>, <span class="hljs-string">"category#food"</span>, <span class="hljs-string">"day of week#Friday"</span>, <span class="hljs-string">"price:120"</span>) <span class="hljs-keyword">as</span> features
+<span class="hljs-keyword">union</span> all
+<span class="hljs-keyword">select</span> <span class="hljs-number">2</span> <span class="hljs-keyword">as</span> <span class="hljs-keyword">id</span>, <span class="hljs-built_in">array</span>(<span class="hljs-string">"gender#male"</span>, <span class="hljs-string">"category#sports"</span>, <span class="hljs-string">"day of week#Friday"</span>, <span class="hljs-string">"price:1000"</span>) <span class="hljs-keyword">as</span> features
+<span class="hljs-keyword">union</span> all
+<span class="hljs-keyword">select</span> <span class="hljs-number">3</span> <span class="hljs-keyword">as</span> <span class="hljs-keyword">id</span>, <span class="hljs-built_in">array</span>(<span class="hljs-string">"gender#male"</span>, <span class="hljs-string">"category#electronics"</span>, <span class="hljs-string">"day of week#Friday"</span>, <span class="hljs-string">"price:540"</span>) <span class="hljs-keyword">as</span> features
+;
+</code></pre>
+<p>Prediction for the feature vectors can be made by join operation between <code>unforeseen_samples</code> and <code>classifier</code> on each feature as:</p>
+<pre><code class="lang-sql">with features_exploded as (
+ <span class="hljs-keyword">select</span>
+ <span class="hljs-keyword">id</span>,
+ <span class="hljs-comment">-- split feature string into its name and value</span>
+ <span class="hljs-comment">-- to join with a model table</span>
+ extract_feature(fv) <span class="hljs-keyword">as</span> feature,
+ extract_weight(fv) <span class="hljs-keyword">as</span> <span class="hljs-keyword">value</span>
+ <span class="hljs-keyword">from</span> unforeseen_samples t1 LATERAL <span class="hljs-keyword">VIEW</span> explode(features) t2 <span class="hljs-keyword">as</span> fv
+)
+<span class="hljs-keyword">select</span>
+ t1.<span class="hljs-keyword">id</span>,
+ sigmoid( <span class="hljs-keyword">sum</span>(p1.weight * t1.<span class="hljs-keyword">value</span>) ) <span class="hljs-keyword">as</span> probability
+<span class="hljs-keyword">from</span>
+ features_exploded t1
+ <span class="hljs-keyword">LEFT</span> <span class="hljs-keyword">OUTER</span> <span class="hljs-keyword">JOIN</span> classifier p1 <span class="hljs-keyword">ON</span> (t1.feature = p1.feature)
+<span class="hljs-keyword">group</span> <span class="hljs-keyword">by</span>
+ t1.<span class="hljs-keyword">id</span>
+;
+</code></pre>
+<div class="panel panel-primary"><div class="panel-heading"><h3 class="panel-title" id="note"><i class="fa fa-edit"></i> Note</h3></div><div class="panel-body"><p><code>sigmoid()</code> should be applied only for logistic loss and you can't get a probability with other loss functions for a classification. See also <a href="https://www.coursera.org/lecture/machine-learning/decision-boundary-WuL1H" target="_blank">this video</a>.</p></div></div>
+<p>Output for single sample can be:</p>
+<table>
+<thead>
+<tr>
+<th style="text-align:right">id</th>
+<th style="text-align:right">probability</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td style="text-align:right">1</td>
+<td style="text-align:right">1.0261879540562902e-10</td>
+</tr>
+</tbody>
+</table>
+<h3 id="evaluation">Evaluation</h3>
+<p>If you have test samples for evaluation, use Hivemall's <a href="../eval/binary_classification_measures.html">evaluation UDFs</a> to measure the accuracy of prediction.</p>
+<p>For instance, prediction accuracy over the <code>training</code> samples can be measured as:</p>
+<pre><code class="lang-sql">with features_exploded as (
+ <span class="hljs-keyword">select</span>
+ <span class="hljs-keyword">id</span>,
+ extract_feature(fv) <span class="hljs-keyword">as</span> feature,
+ extract_weight(fv) <span class="hljs-keyword">as</span> <span class="hljs-keyword">value</span>
+ <span class="hljs-keyword">from</span> training t1 LATERAL <span class="hljs-keyword">VIEW</span> explode(features) t2 <span class="hljs-keyword">as</span> fv
+),
+predictions <span class="hljs-keyword">as</span> (
+ <span class="hljs-keyword">select</span>
+ t1.<span class="hljs-keyword">id</span>,
+ sigmoid( <span class="hljs-keyword">sum</span>(p1.weight * t1.<span class="hljs-keyword">value</span>) ) <span class="hljs-keyword">as</span> probability
+ <span class="hljs-keyword">from</span>
+ features_exploded t1
+ <span class="hljs-keyword">LEFT</span> <span class="hljs-keyword">OUTER</span> <span class="hljs-keyword">JOIN</span> classifier p1 <span class="hljs-keyword">ON</span> (t1.feature = p1.feature)
+ <span class="hljs-keyword">group</span> <span class="hljs-keyword">by</span>
+ t1.<span class="hljs-keyword">id</span>
+)
+<span class="hljs-keyword">select</span>
+ auc(probability, label) <span class="hljs-keyword">as</span> auc,
+ logloss(probability, label) <span class="hljs-keyword">as</span> logloss
+<span class="hljs-keyword">from</span> (
+ <span class="hljs-keyword">select</span> t1.probability, t2.label
+ <span class="hljs-keyword">from</span> predictions t1
+ <span class="hljs-keyword">join</span> training t2 <span class="hljs-keyword">on</span> (t1.<span class="hljs-keyword">id</span> = t2.<span class="hljs-keyword">id</span>)
+ <span class="hljs-keyword">ORDER</span> <span class="hljs-keyword">BY</span> probability <span class="hljs-keyword">DESC</span>
+) t
+;
+</code></pre>
+<table>
+<thead>
+<tr>
+<th style="text-align:right">auc</th>
+<th style="text-align:right">logloss</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td style="text-align:right">0.5</td>
+<td style="text-align:right">9.200000003614099</td>
+</tr>
+</tbody>
+</table>
+<p>Since we are trying to solve the binary classification problem, the accuracy is measured by <a href="https://en.wikipedia.org/wiki/Receiver_operating_characteristic#Area_under_the_curve" target="_blank">Area Under the ROC Curve</a> <a href="../eval/auc.html"><code>auc()</code></a> and/or <a href="http://wiki.fast.ai/index.php/Log_Loss" target="_blank">Logarithmic Loss</a> <a href="../eval/regression.html#logarithmic-loss"><code>logloss()</code></a>.</p>
+<h2 id="regression">Regression</h2>
+<p>If you use <a href="../misc/funcs.html#regression"><code>train_regressor()</code></a> instead of <a href="../misc/funcs.html#binary-classification"><code>train_classifier()</code></a>, you can also solve a regression problem with almost same queries.</p>
+<p>Imagine the following <code>customers</code> table:</p>
+<pre><code class="lang-sql"><span class="hljs-keyword">create</span> <span class="hljs-keyword">table</span> <span class="hljs-keyword">if</span> <span class="hljs-keyword">not</span> <span class="hljs-keyword">exists</span> customers <span class="hljs-keyword">as</span>
+<span class="hljs-keyword">select</span> <span class="hljs-number">1</span> <span class="hljs-keyword">as</span> <span class="hljs-keyword">id</span>, <span class="hljs-string">"male"</span> <span class="hljs-keyword">as</span> gender, <span class="hljs-number">23</span> <span class="hljs-keyword">as</span> age, <span class="hljs-string">"Japan"</span> <span class="hljs-keyword">as</span> country, <span class="hljs-number">12</span> <span class="hljs-keyword">as</span> num_purchases
+<span class="hljs-keyword">union</span> all
+<span class="hljs-keyword">select</span> <span class="hljs-number">2</span> <span class="hljs-keyword">as</span> <span class="hljs-keyword">id</span>, <span class="hljs-string">"female"</span> <span class="hljs-keyword">as</span> gender, <span class="hljs-number">43</span> <span class="hljs-keyword">as</span> age, <span class="hljs-string">"US"</span> <span class="hljs-keyword">as</span> country, <span class="hljs-number">4</span> <span class="hljs-keyword">as</span> num_purchases
+<span class="hljs-keyword">union</span> all
+<span class="hljs-keyword">select</span> <span class="hljs-number">3</span> <span class="hljs-keyword">as</span> <span class="hljs-keyword">id</span>, <span class="hljs-string">"other"</span> <span class="hljs-keyword">as</span> gender, <span class="hljs-number">19</span> <span class="hljs-keyword">as</span> age, <span class="hljs-string">"UK"</span> <span class="hljs-keyword">as</span> country, <span class="hljs-number">2</span> <span class="hljs-keyword">as</span> num_purchases
+<span class="hljs-keyword">union</span> all
+<span class="hljs-keyword">select</span> <span class="hljs-number">4</span> <span class="hljs-keyword">as</span> <span class="hljs-keyword">id</span>, <span class="hljs-string">"male"</span> <span class="hljs-keyword">as</span> gender, <span class="hljs-number">31</span> <span class="hljs-keyword">as</span> age, <span class="hljs-string">"US"</span> <span class="hljs-keyword">as</span> country, <span class="hljs-number">20</span> <span class="hljs-keyword">as</span> num_purchases
+<span class="hljs-keyword">union</span> all
+<span class="hljs-keyword">select</span> <span class="hljs-number">5</span> <span class="hljs-keyword">as</span> <span class="hljs-keyword">id</span>, <span class="hljs-string">"female"</span> <span class="hljs-keyword">as</span> gender, <span class="hljs-number">37</span> <span class="hljs-keyword">as</span> age, <span class="hljs-string">"Australia"</span> <span class="hljs-keyword">as</span> country, <span class="hljs-number">9</span> <span class="hljs-keyword">as</span> num_purchases
+;
+</code></pre>
+<table>
+<thead>
+<tr>
+<th style="text-align:center">gender</th>
+<th style="text-align:left">age</th>
+<th style="text-align:center">country</th>
+<th style="text-align:left">num_purchases</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td style="text-align:center">male</td>
+<td style="text-align:left">23</td>
+<td style="text-align:center">Japan</td>
+<td style="text-align:left">12</td>
+</tr>
+<tr>
+<td style="text-align:center">female</td>
+<td style="text-align:left">43</td>
+<td style="text-align:center">US</td>
+<td style="text-align:left">4</td>
+</tr>
+<tr>
+<td style="text-align:center">other</td>
+<td style="text-align:left">19</td>
+<td style="text-align:center">UK</td>
+<td style="text-align:left">2</td>
+</tr>
+<tr>
+<td style="text-align:center">male</td>
+<td style="text-align:left">31</td>
+<td style="text-align:center">US</td>
+<td style="text-align:left">20</td>
+</tr>
+<tr>
+<td style="text-align:center">female</td>
+<td style="text-align:left">37</td>
+<td style="text-align:center">Australia</td>
+<td style="text-align:left">9</td>
+</tr>
+</tbody>
+</table>
+<p>Now, our goal is to build a regression model to predict the number of purchases potentially done by new customers.</p>
+<h3 id="step-1-feature-representation">Step 1. Feature representation</h3>
+<p>Same as the classification example:</p>
+<pre><code class="lang-sql"><span class="hljs-keyword">insert</span> overwrite <span class="hljs-keyword">table</span> training
+<span class="hljs-keyword">select</span>
+ <span class="hljs-keyword">id</span>,
+ array_concat(
+ quantitative_features(
+ <span class="hljs-built_in">array</span>(<span class="hljs-string">"age"</span>),
+ age
+ ),
+ categorical_features(
+ <span class="hljs-built_in">array</span>(<span class="hljs-string">"country"</span>, <span class="hljs-string">"gender"</span>),
+ country, gender
+ )
+ ) <span class="hljs-keyword">as</span> features,
+ num_purchases
+<span class="hljs-keyword">from</span>
+ customers
+;
+</code></pre>
+<h3 id="step-2-training">Step 2. Training</h3>
+<p><a href="../misc/funcs.html#regression"><code>train_regressor()</code></a> requires you to specify an appropriate loss function. One option is to replace the classifier-specific loss function <code>logloss</code> with <code>squared</code> as:</p>
+<pre><code class="lang-sql"><span class="hljs-keyword">create</span> <span class="hljs-keyword">table</span> <span class="hljs-keyword">if</span> <span class="hljs-keyword">not</span> <span class="hljs-keyword">exists</span> regressor <span class="hljs-keyword">as</
<TRUNCATED>
[06/20] incubator-hivemall-site git commit: Added criteo example and
step-by-step guide for general classifier/regressor
Posted by my...@apache.org.
http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/6c6a1b42/userguide/sitemap.xml
----------------------------------------------------------------------
diff --git a/userguide/sitemap.xml b/userguide/sitemap.xml
index 64eeb77..e79c582 100644
--- a/userguide/sitemap.xml
+++ b/userguide/sitemap.xml
@@ -43,7 +43,8 @@
<url> <loc>http://hivemall.incubator.apache.org/eval/rank.html</loc> <changefreq>weekly</changefreq> <priority>0.5</priority> </url>
<url> <loc>http://hivemall.incubator.apache.org/eval/datagen.html</loc> <changefreq>weekly</changefreq> <priority>0.5</priority> </url>
<url> <loc>http://hivemall.incubator.apache.org/eval/lr_datagen.html</loc> <changefreq>weekly</changefreq> <priority>0.5</priority> </url>
-<url> <loc>http://hivemall.incubator.apache.org/misc/prediction.html</loc> <changefreq>weekly</changefreq> <priority>0.5</priority> </url>
+<url> <loc>http://hivemall.incubator.apache.org/supervised_learning/prediction.html</loc> <changefreq>weekly</changefreq> <priority>0.5</priority> </url>
+<url> <loc>http://hivemall.incubator.apache.org/supervised_learning/tutorial.html</loc> <changefreq>weekly</changefreq> <priority>0.5</priority> </url>
<url> <loc>http://hivemall.incubator.apache.org/binaryclass/general.html</loc> <changefreq>weekly</changefreq> <priority>0.5</priority> </url>
<url> <loc>http://hivemall.incubator.apache.org/binaryclass/a9a.html</loc> <changefreq>weekly</changefreq> <priority>0.5</priority> </url>
<url> <loc>http://hivemall.incubator.apache.org/binaryclass/a9a_dataset.html</loc> <changefreq>weekly</changefreq> <priority>0.5</priority> </url>
@@ -65,6 +66,9 @@
<url> <loc>http://hivemall.incubator.apache.org/binaryclass/webspam_dataset.html</loc> <changefreq>weekly</changefreq> <priority>0.5</priority> </url>
<url> <loc>http://hivemall.incubator.apache.org/binaryclass/webspam_scw.html</loc> <changefreq>weekly</changefreq> <priority>0.5</priority> </url>
<url> <loc>http://hivemall.incubator.apache.org/binaryclass/titanic_rf.html</loc> <changefreq>weekly</changefreq> <priority>0.5</priority> </url>
+<url> <loc>http://hivemall.incubator.apache.org/binaryclass/criteo.html</loc> <changefreq>weekly</changefreq> <priority>0.5</priority> </url>
+<url> <loc>http://hivemall.incubator.apache.org/binaryclass/criteo_dataset.html</loc> <changefreq>weekly</changefreq> <priority>0.5</priority> </url>
+<url> <loc>http://hivemall.incubator.apache.org/binaryclass/criteo_ffm.html</loc> <changefreq>weekly</changefreq> <priority>0.5</priority> </url>
<url> <loc>http://hivemall.incubator.apache.org/multiclass/news20.html</loc> <changefreq>weekly</changefreq> <priority>0.5</priority> </url>
<url> <loc>http://hivemall.incubator.apache.org/multiclass/news20_dataset.html</loc> <changefreq>weekly</changefreq> <priority>0.5</priority> </url>
<url> <loc>http://hivemall.incubator.apache.org/multiclass/news20_one-vs-the-rest_dataset.html</loc> <changefreq>weekly</changefreq> <priority>0.5</priority> </url>
http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/6c6a1b42/userguide/spark/binaryclass/a9a_df.html
----------------------------------------------------------------------
diff --git a/userguide/spark/binaryclass/a9a_df.html b/userguide/spark/binaryclass/a9a_df.html
index 91d789b..1678115 100644
--- a/userguide/spark/binaryclass/a9a_df.html
+++ b/userguide/spark/binaryclass/a9a_df.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>
+
@@ -2335,7 +2401,7 @@ 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 for DataFrame","level":"13.2.1","depth":2,"next":{"title":"a9a tutorial for SQL","level":"13.2.2","depth":2,"path":"spark/binaryclass/a9a_sql.md","ref":"spark/binaryclass/a9a_sql.md","articles":[]},"previous":{"title":"Binary Classification","level":"13.2","depth":1,"path":"spark/binaryclass/index.md","ref":"spark/binaryclass/index.md","articles":[{"title":"a9a tutorial for DataFrame","level":"13.2.1","depth":2,"path":"spark/binaryclass/a9a_df.md","ref":"spark/binaryclass/a9a_df.md","articles":[]},{"title":"a9a tutorial for SQL","level":"13.2.2","depth":2,"path":"spark/binaryclass/a9a_sql.md","ref":"spark/binaryclass/a9a_sql.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":"styl
es/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","in
stapaper"]},"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":"spark/binaryclass/a9a_df.md","mtime":"2
017-12-11T08:48:01.148Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-06-06T09:01:20.330Z"},"basePath":"../..","book":{"language":""}});
+ gitbook.page.hasChanged({"page":{"title":"a9a tutorial for DataFrame","level":"13.2.1","depth":2,"next":{"title":"a9a tutorial for SQL","level":"13.2.2","depth":2,"path":"spark/binaryclass/a9a_sql.md","ref":"spark/binaryclass/a9a_sql.md","articles":[]},"previous":{"title":"Binary Classification","level":"13.2","depth":1,"path":"spark/binaryclass/index.md","ref":"spark/binaryclass/index.md","articles":[{"title":"a9a tutorial for DataFrame","level":"13.2.1","depth":2,"path":"spark/binaryclass/a9a_df.md","ref":"spark/binaryclass/a9a_df.md","articles":[]},{"title":"a9a tutorial for SQL","level":"13.2.2","depth":2,"path":"spark/binaryclass/a9a_sql.md","ref":"spark/binaryclass/a9a_sql.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":"styl
es/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","in
stapaper"]},"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":"spark/binaryclass/a9a_df.md","mtime":"2
018-08-29T08:55:00.293Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-08-31T06:54:21.013Z"},"basePath":"../..","book":{"language":""}});
});
</script>
</div>
@@ -2365,7 +2431,7 @@ 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/spark/binaryclass/a9a_sql.html
----------------------------------------------------------------------
diff --git a/userguide/spark/binaryclass/a9a_sql.html b/userguide/spark/binaryclass/a9a_sql.html
index 29e42bd..b107b25 100644
--- a/userguide/spark/binaryclass/a9a_sql.html
+++ b/userguide/spark/binaryclass/a9a_sql.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>
+
@@ -2393,7 +2459,7 @@ 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 for SQL","level":"13.2.2","depth":2,"next":{"title":"Regression","level":"13.3","depth":1,"path":"spark/binaryclass/index.md","ref":"spark/binaryclass/index.md","articles":[{"title":"E2006-tfidf regression tutorial for DataFrame","level":"13.3.1","depth":2,"path":"spark/regression/e2006_df.md","ref":"spark/regression/e2006_df.md","articles":[]},{"title":"E2006-tfidf regression tutorial for SQL","level":"13.3.2","depth":2,"path":"spark/regression/e2006_sql.md","ref":"spark/regression/e2006_sql.md","articles":[]}]},"previous":{"title":"a9a tutorial for DataFrame","level":"13.2.1","depth":2,"path":"spark/binaryclass/a9a_df.md","ref":"spark/binaryclass/a9a_df.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-foote
r"],"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":"spark/bina
ryclass/a9a_sql.md","mtime":"2017-12-11T08:48:01.148Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-06-06T09:01:20.330Z"},"basePath":"../..","book":{"language":""}});
+ gitbook.page.hasChanged({"page":{"title":"a9a tutorial for SQL","level":"13.2.2","depth":2,"next":{"title":"Regression","level":"13.3","depth":1,"path":"spark/binaryclass/index.md","ref":"spark/binaryclass/index.md","articles":[{"title":"E2006-tfidf regression tutorial for DataFrame","level":"13.3.1","depth":2,"path":"spark/regression/e2006_df.md","ref":"spark/regression/e2006_df.md","articles":[]},{"title":"E2006-tfidf regression tutorial for SQL","level":"13.3.2","depth":2,"path":"spark/regression/e2006_sql.md","ref":"spark/regression/e2006_sql.md","articles":[]}]},"previous":{"title":"a9a tutorial for DataFrame","level":"13.2.1","depth":2,"path":"spark/binaryclass/a9a_df.md","ref":"spark/binaryclass/a9a_df.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-foote
r"],"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":"spark/bina
ryclass/a9a_sql.md","mtime":"2018-08-29T08:55:00.293Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-08-31T06:54:21.013Z"},"basePath":"../..","book":{"language":""}});
});
</script>
</div>
@@ -2423,7 +2489,7 @@ 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/spark/binaryclass/index.html
----------------------------------------------------------------------
diff --git a/userguide/spark/binaryclass/index.html b/userguide/spark/binaryclass/index.html
index 6fb1d4d..cf6b3dc 100644
--- a/userguide/spark/binaryclass/index.html
+++ b/userguide/spark/binaryclass/index.html
@@ -861,9 +861,9 @@
- <li class="chapter " data-level="5.1" data-path="../../misc/prediction.html">
+ <li class="chapter " data-level="5.1" data-path="../../supervised_learning/prediction.html">
- <a href="../../misc/prediction.html">
+ <a href="../../supervised_learning/prediction.html">
<b>5.1.</b>
@@ -876,6 +876,21 @@
</li>
+ <li class="chapter " data-level="5.2" data-path="../../supervised_learning/tutorial.html">
+
+ <a href="../../supervised_learning/tutorial.html">
+
+
+ <b>5.2.</b>
+
+ Step-by-Step Tutorial on Supervised Learning
+
+ </a>
+
+
+
+ </li>
+
@@ -1228,6 +1243,57 @@
</li>
+ <li class="chapter " data-level="6.8" data-path="../../binaryclass/criteo.html">
+
+ <a href="../../binaryclass/criteo.html">
+
+
+ <b>6.8.</b>
+
+ Criteo Tutorial
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="6.8.1" data-path="../../binaryclass/criteo_dataset.html">
+
+ <a href="../../binaryclass/criteo_dataset.html">
+
+
+ <b>6.8.1.</b>
+
+ Data preparation
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="6.8.2" data-path="../../binaryclass/criteo_ffm.html">
+
+ <a href="../../binaryclass/criteo_ffm.html">
+
+
+ <b>6.8.2.</b>
+
+ Field-Aware Factorization Machines
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
@@ -2270,7 +2336,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
<script>
var gitbook = gitbook || [];
gitbook.push(function() {
- gitbook.page.hasChanged({"page":{"title":"Binary Classification","level":"13.2","depth":1,"next":{"title":"a9a tutorial for DataFrame","level":"13.2.1","depth":2,"path":"spark/binaryclass/a9a_df.md","ref":"spark/binaryclass/a9a_df.md","articles":[]},"previous":{"title":"Installation","level":"13.1.1","depth":2,"path":"spark/getting_started/installation.md","ref":"spark/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/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":"st
yles/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":"spark/binaryclass/index.md","mtime":"2017-12-11T08:48:01.149Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-06-06T09:01:20.330Z"},"basePath":"../..","book":{"language":""}});
+ gitbook.page.hasChanged({"page":{"title":"Binary Classification","level":"13.2","depth":1,"next":{"title":"a9a tutorial for DataFrame","level":"13.2.1","depth":2,"path":"spark/binaryclass/a9a_df.md","ref":"spark/binaryclass/a9a_df.md","articles":[]},"previous":{"title":"Installation","level":"13.1.1","depth":2,"path":"spark/getting_started/installation.md","ref":"spark/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/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":"st
yles/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":"spark/binaryclass/index.md","mtime":"2018-08-29T08:55:00.293Z","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/spark/getting_started/index.html
----------------------------------------------------------------------
diff --git a/userguide/spark/getting_started/index.html b/userguide/spark/getting_started/index.html
index cde2fa4..f568ded 100644
--- a/userguide/spark/getting_started/index.html
+++ b/userguide/spark/getting_started/index.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>
+
@@ -2271,7 +2337,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
<script>
var gitbook = gitbook || [];
gitbook.push(function() {
- gitbook.page.hasChanged({"page":{"title":"Getting Started","level":"13.1","depth":1,"next":{"title":"Installation","level":"13.1.1","depth":2,"path":"spark/getting_started/installation.md","ref":"spark/getting_started/installation.md","articles":[]},"previous":{"title":"Lat/Lon functions","level":"12.1","depth":1,"path":"geospatial/latlon.md","ref":"geospatial/latlon.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":tr
ue},"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":"spark/getting_started/README.md","mtime":"2017-12-11T08:48:01.149Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-06-06T09:01:20.330Z"},"basePath":"../..","book":{"language":""}});
+ gitbook.page.hasChanged({"page":{"title":"Getting Started","level":"13.1","depth":1,"next":{"title":"Installation","level":"13.1.1","depth":2,"path":"spark/getting_started/installation.md","ref":"spark/getting_started/installation.md","articles":[]},"previous":{"title":"Lat/Lon functions","level":"12.1","depth":1,"path":"geospatial/latlon.md","ref":"geospatial/latlon.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":tr
ue},"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":"spark/getting_started/README.md","mtime":"2018-08-29T08:55:00.294Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-08-31T06:54:21.013Z"},"basePath":"../..","book":{"language":""}});
});
</script>
</div>
@@ -2301,7 +2367,7 @@ 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/spark/getting_started/installation.html
----------------------------------------------------------------------
diff --git a/userguide/spark/getting_started/installation.html b/userguide/spark/getting_started/installation.html
index dba2663..aa3a46a 100644
--- a/userguide/spark/getting_started/installation.html
+++ b/userguide/spark/getting_started/installation.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>
+
@@ -2294,7 +2360,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
<script>
var gitbook = gitbook || [];
gitbook.push(function() {
- gitbook.page.hasChanged({"page":{"title":"Installation","level":"13.1.1","depth":2,"next":{"title":"Binary Classification","level":"13.2","depth":1,"path":"spark/binaryclass/index.md","ref":"spark/binaryclass/index.md","articles":[{"title":"a9a tutorial for DataFrame","level":"13.2.1","depth":2,"path":"spark/binaryclass/a9a_df.md","ref":"spark/binaryclass/a9a_df.md","articles":[]},{"title":"a9a tutorial for SQL","level":"13.2.2","depth":2,"path":"spark/binaryclass/a9a_sql.md","ref":"spark/binaryclass/a9a_sql.md","articles":[]}]},"previous":{"title":"Getting Started","level":"13.1","depth":1,"path":"spark/getting_started/README.md","ref":"spark/getting_started/README.md","articles":[{"title":"Installation","level":"13.1.1","depth":2,"path":"spark/getting_started/installation.md","ref":"spark/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/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"},"shari
ng":{"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.incu
bator.apache.org/"}},"gitbook":"3.x.x","description":"User Manual for Apache Hivemall"},"file":{"path":"spark/getting_started/installation.md","mtime":"2018-04-27T10:38:47.408Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-06-06T09:01:20.330Z"},"basePath":"../..","book":{"language":""}});
+ gitbook.page.hasChanged({"page":{"title":"Installation","level":"13.1.1","depth":2,"next":{"title":"Binary Classification","level":"13.2","depth":1,"path":"spark/binaryclass/index.md","ref":"spark/binaryclass/index.md","articles":[{"title":"a9a tutorial for DataFrame","level":"13.2.1","depth":2,"path":"spark/binaryclass/a9a_df.md","ref":"spark/binaryclass/a9a_df.md","articles":[]},{"title":"a9a tutorial for SQL","level":"13.2.2","depth":2,"path":"spark/binaryclass/a9a_sql.md","ref":"spark/binaryclass/a9a_sql.md","articles":[]}]},"previous":{"title":"Getting Started","level":"13.1","depth":1,"path":"spark/getting_started/README.md","ref":"spark/getting_started/README.md","articles":[{"title":"Installation","level":"13.1.1","depth":2,"path":"spark/getting_started/installation.md","ref":"spark/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/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"},"shari
ng":{"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.incu
bator.apache.org/"}},"gitbook":"3.x.x","description":"User Manual for Apache Hivemall"},"file":{"path":"spark/getting_started/installation.md","mtime":"2018-08-29T08:55:00.294Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-08-31T06:54:21.013Z"},"basePath":"../..","book":{"language":""}});
});
</script>
</div>
@@ -2324,7 +2390,7 @@ 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/spark/misc/functions.html
----------------------------------------------------------------------
diff --git a/userguide/spark/misc/functions.html b/userguide/spark/misc/functions.html
index 6771ef9..8903608 100644
--- a/userguide/spark/misc/functions.html
+++ b/userguide/spark/misc/functions.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>
+
@@ -2350,7 +2416,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
<script>
var gitbook = gitbook || [];
gitbook.push(function() {
- gitbook.page.hasChanged({"page":{"title":"Other utility functions","level":"13.4.2","depth":2,"next":{"title":"Getting Started","level":"14.1","depth":1,"path":"docker/getting_started.md","ref":"docker/getting_started.md","articles":[]},"previous":{"title":"Top-k join processing","level":"13.4.1","depth":2,"path":"spark/misc/topk_join.md","ref":"spark/misc/topk_join.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":tru
e},"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":"spark/misc/functions.md","mtime":"2017-12-11T08:48:01.149Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-06-06T09:01:20.330Z"},"basePath":"../..","book":{"language":""}});
+ gitbook.page.hasChanged({"page":{"title":"Other utility functions","level":"13.4.2","depth":2,"next":{"title":"Getting Started","level":"14.1","depth":1,"path":"docker/getting_started.md","ref":"docker/getting_started.md","articles":[]},"previous":{"title":"Top-k join processing","level":"13.4.1","depth":2,"path":"spark/misc/topk_join.md","ref":"spark/misc/topk_join.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":tru
e},"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":"spark/misc/functions.md","mtime":"2018-08-29T08:55:00.294Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-08-31T06:54:21.013Z"},"basePath":"../..","book":{"language":""}});
});
</script>
</div>
@@ -2380,7 +2446,7 @@ 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/spark/misc/misc.html
----------------------------------------------------------------------
diff --git a/userguide/spark/misc/misc.html b/userguide/spark/misc/misc.html
index 81adaec..7e00c3d 100644
--- a/userguide/spark/misc/misc.html
+++ b/userguide/spark/misc/misc.html
@@ -861,9 +861,9 @@
- <li class="chapter " data-level="5.1" data-path="../../misc/prediction.html">
+ <li class="chapter " data-level="5.1" data-path="../../supervised_learning/prediction.html">
- <a href="../../misc/prediction.html">
+ <a href="../../supervised_learning/prediction.html">
<b>5.1.</b>
@@ -876,6 +876,21 @@
</li>
+ <li class="chapter " data-level="5.2" data-path="../../supervised_learning/tutorial.html">
+
+ <a href="../../supervised_learning/tutorial.html">
+
+
+ <b>5.2.</b>
+
+ Step-by-Step Tutorial on Supervised Learning
+
+ </a>
+
+
+
+ </li>
+
@@ -1228,6 +1243,57 @@
</li>
+ <li class="chapter " data-level="6.8" data-path="../../binaryclass/criteo.html">
+
+ <a href="../../binaryclass/criteo.html">
+
+
+ <b>6.8.</b>
+
+ Criteo Tutorial
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="6.8.1" data-path="../../binaryclass/criteo_dataset.html">
+
+ <a href="../../binaryclass/criteo_dataset.html">
+
+
+ <b>6.8.1.</b>
+
+ Data preparation
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="6.8.2" data-path="../../binaryclass/criteo_ffm.html">
+
+ <a href="../../binaryclass/criteo_ffm.html">
+
+
+ <b>6.8.2.</b>
+
+ Field-Aware Factorization Machines
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
@@ -2270,7 +2336,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
<script>
var gitbook = gitbook || [];
gitbook.push(function() {
- gitbook.page.hasChanged({"page":{"title":"Generic features","level":"13.4","depth":1,"next":{"title":"Top-k join processing","level":"13.4.1","depth":2,"path":"spark/misc/topk_join.md","ref":"spark/misc/topk_join.md","articles":[]},"previous":{"title":"E2006-tfidf regression tutorial for SQL","level":"13.3.2","depth":2,"path":"spark/regression/e2006_sql.md","ref":"spark/regression/e2006_sql.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/ap
ache/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/pr
int.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":"spark/misc/misc.md","mtime":"2017-12-11T08:48:01.149Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-06-06T09:01:20.330Z"},"basePath":"../..","book":{"language":""}});
+ gitbook.page.hasChanged({"page":{"title":"Generic features","level":"13.4","depth":1,"next":{"title":"Top-k join processing","level":"13.4.1","depth":2,"path":"spark/misc/topk_join.md","ref":"spark/misc/topk_join.md","articles":[]},"previous":{"title":"E2006-tfidf regression tutorial for SQL","level":"13.3.2","depth":2,"path":"spark/regression/e2006_sql.md","ref":"spark/regression/e2006_sql.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/ap
ache/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/pr
int.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":"spark/misc/misc.md","mtime":"2018-08-29T08:55:00.294Z","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/spark/misc/topk_join.html
----------------------------------------------------------------------
diff --git a/userguide/spark/misc/topk_join.html b/userguide/spark/misc/topk_join.html
index 5f6c86e..ff04cc7 100644
--- a/userguide/spark/misc/topk_join.html
+++ b/userguide/spark/misc/topk_join.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>
+
@@ -2449,7 +2515,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
<script>
var gitbook = gitbook || [];
gitbook.push(function() {
- gitbook.page.hasChanged({"page":{"title":"Top-k join processing","level":"13.4.1","depth":2,"next":{"title":"Other utility functions","level":"13.4.2","depth":2,"path":"spark/misc/functions.md","ref":"spark/misc/functions.md","articles":[]},"previous":{"title":"Generic features","level":"13.4","depth":1,"path":"spark/misc/misc.md","ref":"spark/misc/misc.md","articles":[{"title":"Top-k join processing","level":"13.4.1","depth":2,"path":"spark/misc/topk_join.md","ref":"spark/misc/topk_join.md","articles":[]},{"title":"Other utility functions","level":"13.4.2","depth":2,"path":"spark/misc/functions.md","ref":"spark/misc/functions.md","articles":[]}]},"dir":"ltr"},"config":{"plugins":["theme-api","edit-link","github","splitter","sitemap","etoc","callouts","toggle-chapters","anchorjs","codeblock-filename","expandable-chapters","multipart","codeblock-filename","katex","emphasize","localized-footer"],"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles
/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"pluginsConfig":{"emphasize":{},"callouts":{},"etoc":{"h2lb":3,"header":1,"maxdepth":3,"mindepth":1,"notoc":true},"github":{"url":"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":"spark/misc/topk_join.md","mtime":"2017-12-11T08:48:01.150Z","type":"markdown"},"gitbook":{"v
ersion":"3.2.3","time":"2018-06-06T09:01:20.330Z"},"basePath":"../..","book":{"language":""}});
+ gitbook.page.hasChanged({"page":{"title":"Top-k join processing","level":"13.4.1","depth":2,"next":{"title":"Other utility functions","level":"13.4.2","depth":2,"path":"spark/misc/functions.md","ref":"spark/misc/functions.md","articles":[]},"previous":{"title":"Generic features","level":"13.4","depth":1,"path":"spark/misc/misc.md","ref":"spark/misc/misc.md","articles":[{"title":"Top-k join processing","level":"13.4.1","depth":2,"path":"spark/misc/topk_join.md","ref":"spark/misc/topk_join.md","articles":[]},{"title":"Other utility functions","level":"13.4.2","depth":2,"path":"spark/misc/functions.md","ref":"spark/misc/functions.md","articles":[]}]},"dir":"ltr"},"config":{"plugins":["theme-api","edit-link","github","splitter","sitemap","etoc","callouts","toggle-chapters","anchorjs","codeblock-filename","expandable-chapters","multipart","codeblock-filename","katex","emphasize","localized-footer"],"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles
/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"pluginsConfig":{"emphasize":{},"callouts":{},"etoc":{"h2lb":3,"header":1,"maxdepth":3,"mindepth":1,"notoc":true},"github":{"url":"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":"spark/misc/topk_join.md","mtime":"2018-08-29T08:55:00.294Z","type":"markdown"},"gitbook":{"v
ersion":"3.2.3","time":"2018-08-31T06:54:21.013Z"},"basePath":"../..","book":{"language":""}});
});
</script>
</div>
@@ -2479,7 +2545,7 @@ 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/spark/regression/e2006_df.html
----------------------------------------------------------------------
diff --git a/userguide/spark/regression/e2006_df.html b/userguide/spark/regression/e2006_df.html
index 302bdfb..6288e05 100644
--- a/userguide/spark/regression/e2006_df.html
+++ b/userguide/spark/regression/e2006_df.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>
+
@@ -2339,7 +2405,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
<script>
var gitbook = gitbook || [];
gitbook.push(function() {
- gitbook.page.hasChanged({"page":{"title":"E2006-tfidf regression tutorial for DataFrame","level":"13.3.1","depth":2,"next":{"title":"E2006-tfidf regression tutorial for SQL","level":"13.3.2","depth":2,"path":"spark/regression/e2006_sql.md","ref":"spark/regression/e2006_sql.md","articles":[]},"previous":{"title":"Regression","level":"13.3","depth":1,"path":"spark/binaryclass/index.md","ref":"spark/binaryclass/index.md","articles":[{"title":"E2006-tfidf regression tutorial for DataFrame","level":"13.3.1","depth":2,"path":"spark/regression/e2006_df.md","ref":"spark/regression/e2006_df.md","articles":[]},{"title":"E2006-tfidf regression tutorial for SQL","level":"13.3.2","depth":2,"path":"spark/regression/e2006_sql.md","ref":"spark/regression/e2006_sql.md","articles":[]}]},"dir":"ltr"},"config":{"plugins":["theme-api","edit-link","github","splitter","sitemap","etoc","callouts","toggle-chapters","anchorjs","codeblock-filename","expandable-chapters","multipart","codeblock-file
name","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,"instap
aper":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 Ap
ache Hivemall"},"file":{"path":"spark/regression/e2006_df.md","mtime":"2017-12-11T08:48:01.150Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-06-06T09:01:20.330Z"},"basePath":"../..","book":{"language":""}});
+ gitbook.page.hasChanged({"page":{"title":"E2006-tfidf regression tutorial for DataFrame","level":"13.3.1","depth":2,"next":{"title":"E2006-tfidf regression tutorial for SQL","level":"13.3.2","depth":2,"path":"spark/regression/e2006_sql.md","ref":"spark/regression/e2006_sql.md","articles":[]},"previous":{"title":"Regression","level":"13.3","depth":1,"path":"spark/binaryclass/index.md","ref":"spark/binaryclass/index.md","articles":[{"title":"E2006-tfidf regression tutorial for DataFrame","level":"13.3.1","depth":2,"path":"spark/regression/e2006_df.md","ref":"spark/regression/e2006_df.md","articles":[]},{"title":"E2006-tfidf regression tutorial for SQL","level":"13.3.2","depth":2,"path":"spark/regression/e2006_sql.md","ref":"spark/regression/e2006_sql.md","articles":[]}]},"dir":"ltr"},"config":{"plugins":["theme-api","edit-link","github","splitter","sitemap","etoc","callouts","toggle-chapters","anchorjs","codeblock-filename","expandable-chapters","multipart","codeblock-file
name","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,"instap
aper":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 Ap
ache Hivemall"},"file":{"path":"spark/regression/e2006_df.md","mtime":"2018-08-29T08:55:00.295Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-08-31T06:54:21.013Z"},"basePath":"../..","book":{"language":""}});
});
</script>
</div>
@@ -2369,7 +2435,7 @@ 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>
[18/20] incubator-hivemall-site git commit: Added criteo example and
step-by-step guide for general classifier/regressor
Posted by my...@apache.org.
http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/6c6a1b42/userguide/binaryclass/criteo_dataset.html
----------------------------------------------------------------------
diff --git a/userguide/binaryclass/criteo_dataset.html b/userguide/binaryclass/criteo_dataset.html
new file mode 100644
index 0000000..cdc58d0
--- /dev/null
+++ b/userguide/binaryclass/criteo_dataset.html
@@ -0,0 +1,2474 @@
+
+<!DOCTYPE HTML>
+<html lang="" >
+ <head>
+ <meta charset="UTF-8">
+ <meta content="text/html; charset=utf-8" http-equiv="Content-Type">
+ <title>Data preparation · Hivemall User Manual</title>
+ <meta http-equiv="X-UA-Compatible" content="IE=edge" />
+ <meta name="description" content="">
+ <meta name="generator" content="GitBook 3.2.3">
+
+
+
+
+ <link rel="stylesheet" href="../gitbook/style.css">
+
+
+
+
+ <link rel="stylesheet" href="../gitbook/gitbook-plugin-splitter/splitter.css">
+
+
+
+ <link rel="stylesheet" href="../gitbook/gitbook-plugin-etoc/plugin.css">
+
+
+
+ <link rel="stylesheet" href="../gitbook/gitbook-plugin-callouts/plugin.css">
+
+
+
+ <link rel="stylesheet" href="../gitbook/gitbook-plugin-toggle-chapters/toggle.css">
+
+
+
+ <link rel="stylesheet" href="../gitbook/gitbook-plugin-codeblock-filename/block.css">
+
+
+
+ <link rel="stylesheet" href="../gitbook/gitbook-plugin-expandable-chapters/expandable-chapters.css">
+
+
+
+ <link rel="stylesheet" href="../gitbook/gitbook-plugin-multipart/multipart.css">
+
+
+
+ <link rel="stylesheet" href="../gitbook/gitbook-plugin-katex/katex.min.css">
+
+
+
+ <link rel="stylesheet" href="../gitbook/gitbook-plugin-emphasize/plugin.css">
+
+
+
+ <link rel="stylesheet" href="../gitbook/gitbook-plugin-highlight/website.css">
+
+
+
+ <link rel="stylesheet" href="../gitbook/gitbook-plugin-search/search.css">
+
+
+
+ <link rel="stylesheet" href="../gitbook/gitbook-plugin-fontsettings/website.css">
+
+
+
+ <link rel="stylesheet" href="../gitbook/gitbook-plugin-theme-api/theme-api.css">
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+ <meta name="HandheldFriendly" content="true"/>
+ <meta name="viewport" content="width=device-width, initial-scale=1, user-scalable=no">
+ <meta name="apple-mobile-web-app-capable" content="yes">
+ <meta name="apple-mobile-web-app-status-bar-style" content="black">
+ <link rel="apple-touch-icon-precomposed" sizes="152x152" href="../gitbook/images/apple-touch-icon-precomposed-152.png">
+ <link rel="shortcut icon" href="../gitbook/images/favicon.ico" type="image/x-icon">
+
+
+ <link rel="next" href="criteo_ffm.html" />
+
+
+ <link rel="prev" href="criteo.html" />
+
+
+ </head>
+ <body>
+
+<div class="book">
+ <div class="book-summary">
+
+
+<div id="book-search-input" role="search">
+ <input type="text" placeholder="Type to search" />
+</div>
+
+
+ <nav role="navigation">
+
+
+
+<ul class="summary">
+
+
+
+
+ <li>
+ <a href="http://hivemall.incubator.apache.org/" target="_blank" class="custom-link"><i class="fa fa-home"></i> Home</a>
+ </li>
+
+
+
+
+ <li class="divider"></li>
+
+
+
+
+ <li class="header">TABLE OF CONTENTS</li>
+
+
+
+ <li class="chapter " data-level="1.1" data-path="../">
+
+ <a href="../">
+
+
+ <b>1.1.</b>
+
+ Introduction
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="1.2" data-path="../getting_started/">
+
+ <a href="../getting_started/">
+
+
+ <b>1.2.</b>
+
+ Getting Started
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="1.2.1" data-path="../getting_started/installation.html">
+
+ <a href="../getting_started/installation.html">
+
+
+ <b>1.2.1.</b>
+
+ Installation
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="1.2.2" data-path="../getting_started/permanent-functions.html">
+
+ <a href="../getting_started/permanent-functions.html">
+
+
+ <b>1.2.2.</b>
+
+ Install as permanent functions
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="1.2.3" data-path="../getting_started/input-format.html">
+
+ <a href="../getting_started/input-format.html">
+
+
+ <b>1.2.3.</b>
+
+ Input Format
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+ <li class="chapter " data-level="1.3" data-path="../misc/funcs.html">
+
+ <a href="../misc/funcs.html">
+
+
+ <b>1.3.</b>
+
+ List of Functions
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="1.4" data-path="../tips/">
+
+ <a href="../tips/">
+
+
+ <b>1.4.</b>
+
+ Tips for Effective Hivemall
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="1.4.1" data-path="../tips/addbias.html">
+
+ <a href="../tips/addbias.html">
+
+
+ <b>1.4.1.</b>
+
+ Explicit add_bias() for better prediction
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="1.4.2" data-path="../tips/rand_amplify.html">
+
+ <a href="../tips/rand_amplify.html">
+
+
+ <b>1.4.2.</b>
+
+ Use rand_amplify() to better prediction results
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="1.4.3" data-path="../tips/rt_prediction.html">
+
+ <a href="../tips/rt_prediction.html">
+
+
+ <b>1.4.3.</b>
+
+ Real-time prediction on RDBMS
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="1.4.4" data-path="../tips/ensemble_learning.html">
+
+ <a href="../tips/ensemble_learning.html">
+
+
+ <b>1.4.4.</b>
+
+ Ensemble learning for stable prediction
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="1.4.5" data-path="../tips/mixserver.html">
+
+ <a href="../tips/mixserver.html">
+
+
+ <b>1.4.5.</b>
+
+ Mixing models for a better prediction convergence (MIX server)
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="1.4.6" data-path="../tips/emr.html">
+
+ <a href="../tips/emr.html">
+
+
+ <b>1.4.6.</b>
+
+ Run Hivemall on Amazon Elastic MapReduce
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+ <li class="chapter " data-level="1.5" data-path="../tips/general_tips.html">
+
+ <a href="../tips/general_tips.html">
+
+
+ <b>1.5.</b>
+
+ General Hive/Hadoop Tips
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="1.5.1" data-path="../tips/rowid.html">
+
+ <a href="../tips/rowid.html">
+
+
+ <b>1.5.1.</b>
+
+ Adding rowid for each row
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="1.5.2" data-path="../tips/hadoop_tuning.html">
+
+ <a href="../tips/hadoop_tuning.html">
+
+
+ <b>1.5.2.</b>
+
+ Hadoop tuning for Hivemall
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+ <li class="chapter " data-level="1.6" data-path="../troubleshooting/">
+
+ <a href="../troubleshooting/">
+
+
+ <b>1.6.</b>
+
+ Troubleshooting
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="1.6.1" data-path="../troubleshooting/oom.html">
+
+ <a href="../troubleshooting/oom.html">
+
+
+ <b>1.6.1.</b>
+
+ OutOfMemoryError in training
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="1.6.2" data-path="../troubleshooting/mapjoin_task_error.html">
+
+ <a href="../troubleshooting/mapjoin_task_error.html">
+
+
+ <b>1.6.2.</b>
+
+ SemanticException generate map join task error: Cannot serialize object
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="1.6.3" data-path="../troubleshooting/asterisk.html">
+
+ <a href="../troubleshooting/asterisk.html">
+
+
+ <b>1.6.3.</b>
+
+ Asterisk argument for UDTF does not work
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="1.6.4" data-path="../troubleshooting/num_mappers.html">
+
+ <a href="../troubleshooting/num_mappers.html">
+
+
+ <b>1.6.4.</b>
+
+ The number of mappers is less than input splits in Hadoop 2.x
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="1.6.5" data-path="../troubleshooting/mapjoin_classcastex.html">
+
+ <a href="../troubleshooting/mapjoin_classcastex.html">
+
+
+ <b>1.6.5.</b>
+
+ Map-side join causes ClassCastException on Tez
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+
+
+
+ <li class="header">Part II - Generic Features</li>
+
+
+
+ <li class="chapter " data-level="2.1" data-path="../misc/generic_funcs.html">
+
+ <a href="../misc/generic_funcs.html">
+
+
+ <b>2.1.</b>
+
+ List of Generic Hivemall Functions
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="2.2" data-path="../misc/topk.html">
+
+ <a href="../misc/topk.html">
+
+
+ <b>2.2.</b>
+
+ Efficient Top-K Query Processing
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="2.3" data-path="../misc/tokenizer.html">
+
+ <a href="../misc/tokenizer.html">
+
+
+ <b>2.3.</b>
+
+ Text Tokenizer
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="2.4" data-path="../misc/approx.html">
+
+ <a href="../misc/approx.html">
+
+
+ <b>2.4.</b>
+
+ Approximate Aggregate Functions
+
+ </a>
+
+
+
+ </li>
+
+
+
+
+ <li class="header">Part III - Feature Engineering</li>
+
+
+
+ <li class="chapter " data-level="3.1" data-path="../ft_engineering/scaling.html">
+
+ <a href="../ft_engineering/scaling.html">
+
+
+ <b>3.1.</b>
+
+ Feature Scaling
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="3.2" data-path="../ft_engineering/hashing.html">
+
+ <a href="../ft_engineering/hashing.html">
+
+
+ <b>3.2.</b>
+
+ Feature Hashing
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="3.3" data-path="../ft_engineering/selection.html">
+
+ <a href="../ft_engineering/selection.html">
+
+
+ <b>3.3.</b>
+
+ Feature Selection
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="3.4" data-path="../ft_engineering/binning.html">
+
+ <a href="../ft_engineering/binning.html">
+
+
+ <b>3.4.</b>
+
+ Feature Binning
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="3.5" data-path="../ft_engineering/pairing.html">
+
+ <a href="../ft_engineering/pairing.html">
+
+
+ <b>3.5.</b>
+
+ Feature Paring
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="3.5.1" data-path="../ft_engineering/polynomial.html">
+
+ <a href="../ft_engineering/polynomial.html">
+
+
+ <b>3.5.1.</b>
+
+ Polynomial features
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+ <li class="chapter " data-level="3.6" data-path="../ft_engineering/ft_trans.html">
+
+ <a href="../ft_engineering/ft_trans.html">
+
+
+ <b>3.6.</b>
+
+ Feature Transformation
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="3.6.1" data-path="../ft_engineering/vectorization.html">
+
+ <a href="../ft_engineering/vectorization.html">
+
+
+ <b>3.6.1.</b>
+
+ Feature vectorization
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="3.6.2" data-path="../ft_engineering/quantify.html">
+
+ <a href="../ft_engineering/quantify.html">
+
+
+ <b>3.6.2.</b>
+
+ Quantify non-number features
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+ <li class="chapter " data-level="3.7" data-path="../ft_engineering/tfidf.html">
+
+ <a href="../ft_engineering/tfidf.html">
+
+
+ <b>3.7.</b>
+
+ TF-IDF Calculation
+
+ </a>
+
+
+
+ </li>
+
+
+
+
+ <li class="header">Part IV - Evaluation</li>
+
+
+
+ <li class="chapter " data-level="4.1" data-path="../eval/binary_classification_measures.html">
+
+ <a href="../eval/binary_classification_measures.html">
+
+
+ <b>4.1.</b>
+
+ Binary Classification Metrics
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="4.1.1" data-path="../eval/auc.html">
+
+ <a href="../eval/auc.html">
+
+
+ <b>4.1.1.</b>
+
+ Area under the ROC curve
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+ <li class="chapter " data-level="4.2" data-path="../eval/multilabel_classification_measures.html">
+
+ <a href="../eval/multilabel_classification_measures.html">
+
+
+ <b>4.2.</b>
+
+ Multi-label Classification Metrics
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="4.3" data-path="../eval/regression.html">
+
+ <a href="../eval/regression.html">
+
+
+ <b>4.3.</b>
+
+ Regression Metrics
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="4.4" data-path="../eval/rank.html">
+
+ <a href="../eval/rank.html">
+
+
+ <b>4.4.</b>
+
+ Ranking Measures
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="4.5" data-path="../eval/datagen.html">
+
+ <a href="../eval/datagen.html">
+
+
+ <b>4.5.</b>
+
+ Data Generation
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="4.5.1" data-path="../eval/lr_datagen.html">
+
+ <a href="../eval/lr_datagen.html">
+
+
+ <b>4.5.1.</b>
+
+ Logistic Regression data generation
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+
+
+
+ <li class="header">Part V - Supervised Learning</li>
+
+
+
+ <li class="chapter " data-level="5.1" data-path="../supervised_learning/prediction.html">
+
+ <a href="../supervised_learning/prediction.html">
+
+
+ <b>5.1.</b>
+
+ How Prediction Works
+
+ </a>
+
+
+
+ </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>
+
+
+
+
+ <li class="header">Part VI - Binary Classification</li>
+
+
+
+ <li class="chapter " data-level="6.1" data-path="general.html">
+
+ <a href="general.html">
+
+
+ <b>6.1.</b>
+
+ Binary Classification
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="6.2" data-path="a9a.html">
+
+ <a href="a9a.html">
+
+
+ <b>6.2.</b>
+
+ a9a Tutorial
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="6.2.1" data-path="a9a_dataset.html">
+
+ <a href="a9a_dataset.html">
+
+
+ <b>6.2.1.</b>
+
+ Data preparation
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="6.2.2" data-path="a9a_lr.html">
+
+ <a href="a9a_lr.html">
+
+
+ <b>6.2.2.</b>
+
+ Logistic Regression
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="6.2.3" data-path="a9a_minibatch.html">
+
+ <a href="a9a_minibatch.html">
+
+
+ <b>6.2.3.</b>
+
+ Mini-batch gradient descent
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+ <li class="chapter " data-level="6.3" data-path="news20.html">
+
+ <a href="news20.html">
+
+
+ <b>6.3.</b>
+
+ News20 Tutorial
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="6.3.1" data-path="news20_dataset.html">
+
+ <a href="news20_dataset.html">
+
+
+ <b>6.3.1.</b>
+
+ Data preparation
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="6.3.2" data-path="news20_pa.html">
+
+ <a href="news20_pa.html">
+
+
+ <b>6.3.2.</b>
+
+ Perceptron, Passive Aggressive
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="6.3.3" data-path="news20_scw.html">
+
+ <a href="news20_scw.html">
+
+
+ <b>6.3.3.</b>
+
+ CW, AROW, SCW
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="6.3.4" data-path="news20_adagrad.html">
+
+ <a href="news20_adagrad.html">
+
+
+ <b>6.3.4.</b>
+
+ AdaGradRDA, AdaGrad, AdaDelta
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="6.3.5" data-path="news20_rf.html">
+
+ <a href="news20_rf.html">
+
+
+ <b>6.3.5.</b>
+
+ Random Forest
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+ <li class="chapter " data-level="6.4" data-path="kdd2010a.html">
+
+ <a href="kdd2010a.html">
+
+
+ <b>6.4.</b>
+
+ KDD2010a Tutorial
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="6.4.1" data-path="kdd2010a_dataset.html">
+
+ <a href="kdd2010a_dataset.html">
+
+
+ <b>6.4.1.</b>
+
+ Data preparation
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="6.4.2" data-path="kdd2010a_scw.html">
+
+ <a href="kdd2010a_scw.html">
+
+
+ <b>6.4.2.</b>
+
+ PA, CW, AROW, SCW
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+ <li class="chapter " data-level="6.5" data-path="kdd2010b.html">
+
+ <a href="kdd2010b.html">
+
+
+ <b>6.5.</b>
+
+ KDD2010b Tutorial
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="6.5.1" data-path="kdd2010b_dataset.html">
+
+ <a href="kdd2010b_dataset.html">
+
+
+ <b>6.5.1.</b>
+
+ Data preparation
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="6.5.2" data-path="kdd2010b_arow.html">
+
+ <a href="kdd2010b_arow.html">
+
+
+ <b>6.5.2.</b>
+
+ AROW
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+ <li class="chapter " data-level="6.6" data-path="webspam.html">
+
+ <a href="webspam.html">
+
+
+ <b>6.6.</b>
+
+ Webspam Tutorial
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="6.6.1" data-path="webspam_dataset.html">
+
+ <a href="webspam_dataset.html">
+
+
+ <b>6.6.1.</b>
+
+ Data pareparation
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="6.6.2" data-path="webspam_scw.html">
+
+ <a href="webspam_scw.html">
+
+
+ <b>6.6.2.</b>
+
+ PA1, AROW, SCW
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+ <li class="chapter " data-level="6.7" data-path="titanic_rf.html">
+
+ <a href="titanic_rf.html">
+
+
+ <b>6.7.</b>
+
+ Kaggle Titanic Tutorial
+
+ </a>
+
+
+
+ </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 active" 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>
+
+
+
+
+ <li class="header">Part VII - Multiclass Classification</li>
+
+
+
+ <li class="chapter " data-level="7.1" data-path="../multiclass/news20.html">
+
+ <a href="../multiclass/news20.html">
+
+
+ <b>7.1.</b>
+
+ News20 Multiclass Tutorial
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="7.1.1" data-path="../multiclass/news20_dataset.html">
+
+ <a href="../multiclass/news20_dataset.html">
+
+
+ <b>7.1.1.</b>
+
+ Data preparation
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="7.1.2" data-path="../multiclass/news20_one-vs-the-rest_dataset.html">
+
+ <a href="../multiclass/news20_one-vs-the-rest_dataset.html">
+
+
+ <b>7.1.2.</b>
+
+ Data preparation for one-vs-the-rest classifiers
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="7.1.3" data-path="../multiclass/news20_pa.html">
+
+ <a href="../multiclass/news20_pa.html">
+
+
+ <b>7.1.3.</b>
+
+ PA
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="7.1.4" data-path="../multiclass/news20_scw.html">
+
+ <a href="../multiclass/news20_scw.html">
+
+
+ <b>7.1.4.</b>
+
+ CW, AROW, SCW
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="7.1.5" data-path="../multiclass/news20_ensemble.html">
+
+ <a href="../multiclass/news20_ensemble.html">
+
+
+ <b>7.1.5.</b>
+
+ Ensemble learning
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="7.1.6" data-path="../multiclass/news20_one-vs-the-rest.html">
+
+ <a href="../multiclass/news20_one-vs-the-rest.html">
+
+
+ <b>7.1.6.</b>
+
+ one-vs-the-rest classifier
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+ <li class="chapter " data-level="7.2" data-path="../multiclass/iris.html">
+
+ <a href="../multiclass/iris.html">
+
+
+ <b>7.2.</b>
+
+ Iris Tutorial
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="7.2.1" data-path="../multiclass/iris_dataset.html">
+
+ <a href="../multiclass/iris_dataset.html">
+
+
+ <b>7.2.1.</b>
+
+ Data preparation
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="7.2.2" data-path="../multiclass/iris_scw.html">
+
+ <a href="../multiclass/iris_scw.html">
+
+
+ <b>7.2.2.</b>
+
+ SCW
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="7.2.3" data-path="../multiclass/iris_randomforest.html">
+
+ <a href="../multiclass/iris_randomforest.html">
+
+
+ <b>7.2.3.</b>
+
+ Random Forest
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+
+
+
+ <li class="header">Part VIII - Regression</li>
+
+
+
+ <li class="chapter " data-level="8.1" data-path="../regression/general.html">
+
+ <a href="../regression/general.html">
+
+
+ <b>8.1.</b>
+
+ Regression
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="8.2" data-path="../regression/e2006.html">
+
+ <a href="../regression/e2006.html">
+
+
+ <b>8.2.</b>
+
+ E2006-tfidf Regression Tutorial
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="8.2.1" data-path="../regression/e2006_dataset.html">
+
+ <a href="../regression/e2006_dataset.html">
+
+
+ <b>8.2.1.</b>
+
+ Data preparation
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="8.2.2" data-path="../regression/e2006_arow.html">
+
+ <a href="../regression/e2006_arow.html">
+
+
+ <b>8.2.2.</b>
+
+ Passive Aggressive, AROW
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+ <li class="chapter " data-level="8.3" data-path="../regression/kddcup12tr2.html">
+
+ <a href="../regression/kddcup12tr2.html">
+
+
+ <b>8.3.</b>
+
+ KDDCup 2012 Track 2 CTR Prediction Tutorial
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="8.3.1" data-path="../regression/kddcup12tr2_dataset.html">
+
+ <a href="../regression/kddcup12tr2_dataset.html">
+
+
+ <b>8.3.1.</b>
+
+ Data preparation
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="8.3.2" data-path="../regression/kddcup12tr2_lr.html">
+
+ <a href="../regression/kddcup12tr2_lr.html">
+
+
+ <b>8.3.2.</b>
+
+ Logistic Regression, Passive Aggressive
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="8.3.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
+
+ <a href="../regression/kddcup12tr2_lr_amplify.html">
+
+
+ <b>8.3.3.</b>
+
+ Logistic Regression with amplifier
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="8.3.4" data-path="../regression/kddcup12tr2_adagrad.html">
+
+ <a href="../regression/kddcup12tr2_adagrad.html">
+
+
+ <b>8.3.4.</b>
+
+ AdaGrad, AdaDelta
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+
+
+
+ <li class="header">Part IX - Recommendation</li>
+
+
+
+ <li class="chapter " data-level="9.1" data-path="../recommend/cf.html">
+
+ <a href="../recommend/cf.html">
+
+
+ <b>9.1.</b>
+
+ Collaborative Filtering
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="9.1.1" data-path="../recommend/item_based_cf.html">
+
+ <a href="../recommend/item_based_cf.html">
+
+
+ <b>9.1.1.</b>
+
+ Item-based collaborative filtering
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+ <li class="chapter " data-level="9.2" data-path="../recommend/news20.html">
+
+ <a href="../recommend/news20.html">
+
+
+ <b>9.2.</b>
+
+ News20 Related Article Recommendation Tutorial
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="9.2.1" data-path="../multiclass/news20_dataset.html">
+
+ <a href="../multiclass/news20_dataset.html">
+
+
+ <b>9.2.1.</b>
+
+ Data preparation
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="9.2.2" data-path="../recommend/news20_jaccard.html">
+
+ <a href="../recommend/news20_jaccard.html">
+
+
+ <b>9.2.2.</b>
+
+ LSH/MinHash and Jaccard similarity
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="9.2.3" data-path="../recommend/news20_knn.html">
+
+ <a href="../recommend/news20_knn.html">
+
+
+ <b>9.2.3.</b>
+
+ LSH/MinHash and brute-force search
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="9.2.4" data-path="../recommend/news20_bbit_minhash.html">
+
+ <a href="../recommend/news20_bbit_minhash.html">
+
+
+ <b>9.2.4.</b>
+
+ kNN search using b-Bits MinHash
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+ <li class="chapter " data-level="9.3" data-path="../recommend/movielens.html">
+
+ <a href="../recommend/movielens.html">
+
+
+ <b>9.3.</b>
+
+ MovieLens Movie Recommendation Tutorial
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="9.3.1" data-path="../recommend/movielens_dataset.html">
+
+ <a href="../recommend/movielens_dataset.html">
+
+
+ <b>9.3.1.</b>
+
+ Data preparation
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="9.3.2" data-path="../recommend/movielens_cf.html">
+
+ <a href="../recommend/movielens_cf.html">
+
+
+ <b>9.3.2.</b>
+
+ Item-based collaborative filtering
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="9.3.3" data-path="../recommend/movielens_mf.html">
+
+ <a href="../recommend/movielens_mf.html">
+
+
+ <b>9.3.3.</b>
+
+ Matrix Factorization
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="9.3.4" data-path="../recommend/movielens_fm.html">
+
+ <a href="../recommend/movielens_fm.html">
+
+
+ <b>9.3.4.</b>
+
+ Factorization Machine
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="9.3.5" data-path="../recommend/movielens_slim.html">
+
+ <a href="../recommend/movielens_slim.html">
+
+
+ <b>9.3.5.</b>
+
+ SLIM for fast top-k recommendation
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="9.3.6" data-path="../recommend/movielens_cv.html">
+
+ <a href="../recommend/movielens_cv.html">
+
+
+ <b>9.3.6.</b>
+
+ 10-fold cross validation (Matrix Factorization)
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+
+
+
+ <li class="header">Part X - Anomaly Detection</li>
+
+
+
+ <li class="chapter " data-level="10.1" data-path="../anomaly/lof.html">
+
+ <a href="../anomaly/lof.html">
+
+
+ <b>10.1.</b>
+
+ Outlier Detection using Local Outlier Factor (LOF)
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="10.2" data-path="../anomaly/sst.html">
+
+ <a href="../anomaly/sst.html">
+
+
+ <b>10.2.</b>
+
+ Change-Point Detection using Singular Spectrum Transformation (SST)
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="10.3" data-path="../anomaly/changefinder.html">
+
+ <a href="../anomaly/changefinder.html">
+
+
+ <b>10.3.</b>
+
+ ChangeFinder: Detecting Outlier and Change-Point Simultaneously
+
+ </a>
+
+
+
+ </li>
+
+
+
+
+ <li class="header">Part XI - Clustering</li>
+
+
+
+ <li class="chapter " data-level="11.1" data-path="../clustering/lda.html">
+
+ <a href="../clustering/lda.html">
+
+
+ <b>11.1.</b>
+
+ Latent Dirichlet Allocation
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="11.2" data-path="../clustering/plsa.html">
+
+ <a href="../clustering/plsa.html">
+
+
+ <b>11.2.</b>
+
+ Probabilistic Latent Semantic Analysis
+
+ </a>
+
+
+
+ </li>
+
+
+
+
+ <li class="header">Part XII - GeoSpatial Functions</li>
+
+
+
+ <li class="chapter " data-level="12.1" data-path="../geospatial/latlon.html">
+
+ <a href="../geospatial/latlon.html">
+
+
+ <b>12.1.</b>
+
+ Lat/Lon functions
+
+ </a>
+
+
+
+ </li>
+
+
+
+
+ <li class="header">Part XIII - Hivemall on Spark</li>
+
+
+
+ <li class="chapter " data-level="13.1" data-path="../spark/getting_started/">
+
+ <a href="../spark/getting_started/">
+
+
+ <b>13.1.</b>
+
+ Getting Started
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="13.1.1" data-path="../spark/getting_started/installation.html">
+
+ <a href="../spark/getting_started/installation.html">
+
+
+ <b>13.1.1.</b>
+
+ Installation
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+ <li class="chapter " data-level="13.2" data-path="../spark/binaryclass/">
+
+ <a href="../spark/binaryclass/">
+
+
+ <b>13.2.</b>
+
+ Binary Classification
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="13.2.1" data-path="../spark/binaryclass/a9a_df.html">
+
+ <a href="../spark/binaryclass/a9a_df.html">
+
+
+ <b>13.2.1.</b>
+
+ a9a tutorial for DataFrame
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="13.2.2" data-path="../spark/binaryclass/a9a_sql.html">
+
+ <a href="../spark/binaryclass/a9a_sql.html">
+
+
+ <b>13.2.2.</b>
+
+ a9a tutorial for SQL
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+ <li class="chapter " data-level="13.3" data-path="../spark/binaryclass/">
+
+ <a href="../spark/binaryclass/">
+
+
+ <b>13.3.</b>
+
+ Regression
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="13.3.1" data-path="../spark/regression/e2006_df.html">
+
+ <a href="../spark/regression/e2006_df.html">
+
+
+ <b>13.3.1.</b>
+
+ E2006-tfidf regression tutorial for DataFrame
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="13.3.2" data-path="../spark/regression/e2006_sql.html">
+
+ <a href="../spark/regression/e2006_sql.html">
+
+
+ <b>13.3.2.</b>
+
+ E2006-tfidf regression tutorial for SQL
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+ <li class="chapter " data-level="13.4" data-path="../spark/misc/misc.html">
+
+ <a href="../spark/misc/misc.html">
+
+
+ <b>13.4.</b>
+
+ Generic features
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="13.4.1" data-path="../spark/misc/topk_join.html">
+
+ <a href="../spark/misc/topk_join.html">
+
+
+ <b>13.4.1.</b>
+
+ Top-k join processing
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="13.4.2" data-path="../spark/misc/functions.html">
+
+ <a href="../spark/misc/functions.html">
+
+
+ <b>13.4.2.</b>
+
+ Other utility functions
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+
+
+
+ <li class="header">Part XIV - Hivemall on Docker</li>
+
+
+
+ <li class="chapter " data-level="14.1" data-path="../docker/getting_started.html">
+
+ <a href="../docker/getting_started.html">
+
+
+ <b>14.1.</b>
+
+ Getting Started
+
+ </a>
+
+
+
+ </li>
+
+
+
+
+ <li class="header">Part XIV - External References</li>
+
+
+
+ <li class="chapter " data-level="15.1" >
+
+ <a target="_blank" href="https://github.com/daijyc/hivemall/wiki/PigHome">
+
+
+ <b>15.1.</b>
+
+ Hivemall on Apache Pig
+
+ </a>
+
+
+
+ </li>
+
+
+
+
+ <li class="divider"></li>
+
+ <li>
+ <a href="https://www.gitbook.com" target="blank" class="gitbook-link">
+ Published with GitBook
+ </a>
+ </li>
+</ul>
+
+
+ </nav>
+
+
+ </div>
+
+ <div class="book-body">
+
+ <div class="body-inner">
+
+
+
+<div class="book-header" role="navigation">
+
+
+ <!-- Title -->
+ <h1>
+ <i class="fa fa-circle-o-notch fa-spin"></i>
+ <a href=".." >Data preparation</a>
+ </h1>
+</div>
+
+
+
+
+ <div class="page-wrapper" tabindex="-1" role="main">
+ <div class="page-inner">
+
+<div id="book-search-results">
+ <div class="search-noresults">
+
+ <section class="normal markdown-section">
+
+ <!--
+ Licensed to the Apache Software Foundation (ASF) under one
+ or more contributor license agreements. See the NOTICE file
+ distributed with this work for additional information
+ regarding copyright ownership. The ASF licenses this file
+ to you under the Apache License, Version 2.0 (the
+ "License"); you may not use this file except in compliance
+ with the License. You may obtain a copy of the License at
+
+ http://www.apache.org/licenses/LICENSE-2.0
+
+ Unless required by applicable law or agreed to in writing,
+ software distributed under the License is distributed on an
+ "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ KIND, either express or implied. See the License for the
+ specific language governing permissions and limitations
+ under the License.
+-->
+<!-- toc --><div id="toc" class="toc">
+
+<ul>
+<li><a href="#download-data">Download data</a></li>
+<li><a href="#convert-data-into-csv-format">Convert data into CSV format</a></li>
+<li><a href="#create-tables">Create tables</a></li>
+</ul>
+
+</div><!-- tocstop -->
+<h1 id="download-data">Download data</h1>
+<p>Get dataset of <a href="https://www.kaggle.com/c/criteo-display-ad-challenge" target="_blank">Kaggle Display Advertising Challenge</a> from one of the following sources:</p>
+<ol>
+<li><a href="http://labs.criteo.com/2014/02/kaggle-display-advertising-challenge-dataset/" target="_blank">Original competition data</a> (by Criteo Labs) [~20GB]</li>
+<li><a href="http://labs.criteo.com/2014/02/dataset/" target="_blank">Subset of the original competition data</a> (by Criteo Labs) [~30MB]</li>
+<li><a href="https://github.com/guestwalk/kaggle-2014-criteo" target="_blank">Tiny sample data</a> (by the winners of the competition) [~20bytes]</li>
+</ol>
+<p>It should be noted that you must accept and agree with <strong>CRITEO LABS DATA TERM OF USE</strong> before downloading the data.</p>
+<h1 id="convert-data-into-csv-format">Convert data into CSV format</h1>
+<p>Here, you can use a script prepared by one of the Hivemall PPMC members: <strong><a href="https://github.com/takuti/criteo-ffm" target="_blank">takuti/criteo-ffm</a></strong>.</p>
+<p>Clone the repository:</p>
+<pre><code class="lang-sh">git <span class="hljs-built_in">clone</span> git@github.com:takuti/criteo-ffm.git
+<span class="hljs-built_in">cd</span> criteo-ffm
+</code></pre>
+<p>A script <a href="https://github.com/takuti/criteo-ffm/blob/master/data.sh" target="_blank"><code>data.sh</code></a> downloads the original data and converts them into CSV format:</p>
+<pre><code class="lang-sh">./data.sh <span class="hljs-comment"># downloads the original data and generates `train.csv` and `test.csv`</span>
+ln <span class="hljs-_">-s</span> train.csv tr.csv
+ln <span class="hljs-_">-s</span> test.csv te.csv
+</code></pre>
+<p>Or, since the original data is very huge, starting from the tiny sample data bundled into the repository would be better:</p>
+<pre><code class="lang-sh">ln <span class="hljs-_">-s</span> train.tiny.csv tr.csv
+ln <span class="hljs-_">-s</span> test.tiny.csv te.csv
+</code></pre>
+<h1 id="create-tables">Create tables</h1>
+<p>Load the CSV files to Hive tables as:</p>
+<pre><code class="lang-sh">hadoop fs -put tr.csv /criteo/train
+hadoop fs -put te.csv /criteo/<span class="hljs-built_in">test</span>
+</code></pre>
+<pre><code class="lang-sql"><span class="hljs-keyword">CREATE</span> <span class="hljs-keyword">DATABASE</span> <span class="hljs-keyword">IF</span> <span class="hljs-keyword">NOT</span> <span class="hljs-keyword">EXISTS</span> criteo;
+<span class="hljs-keyword">use</span> criteo;
+</code></pre>
+<pre><code class="lang-sql"><span class="hljs-keyword">DROP</span> <span class="hljs-keyword">TABLE</span> <span class="hljs-keyword">IF</span> <span class="hljs-keyword">EXISTS</span> train;
+<span class="hljs-keyword">CREATE</span> <span class="hljs-keyword">EXTERNAL</span> <span class="hljs-keyword">TABLE</span> train (
+ <span class="hljs-keyword">id</span> <span class="hljs-built_in">bigint</span>,
+ label <span class="hljs-built_in">int</span>,
+ <span class="hljs-comment">-- quantitative features</span>
+ i1 <span class="hljs-built_in">int</span>,i2 <span class="hljs-built_in">int</span>,i3 <span class="hljs-built_in">int</span>,i4 <span class="hljs-built_in">int</span>,i5 <span class="hljs-built_in">int</span>,i6 <span class="hljs-built_in">int</span>,i7 <span class="hljs-built_in">int</span>,i8 <span class="hljs-built_in">int</span>,i9 <span class="hljs-built_in">int</span>,i10 <span class="hljs-built_in">int</span>,i11 <span class="hljs-built_in">int</span>,i12 <span class="hljs-built_in">int</span>,i13 <span class="hljs-built_in">int</span>,
+ <span class="hljs-comment">-- categorical features</span>
+ c1 <span class="hljs-keyword">string</span>,c2 <span class="hljs-keyword">string</span>,c3 <span class="hljs-keyword">string</span>,c4 <span class="hljs-keyword">string</span>,c5 <span class="hljs-keyword">string</span>,c6 <span class="hljs-keyword">string</span>,c7 <span class="hljs-keyword">string</span>,c8 <span class="hljs-keyword">string</span>,c9 <span class="hljs-keyword">string</span>,c10 <span class="hljs-keyword">string</span>,c11 <span class="hljs-keyword">string</span>,c12 <span class="hljs-keyword">string</span>,c13 <span class="hljs-keyword">string</span>,c14 <span class="hljs-keyword">string</span>,c15 <span class="hljs-keyword">string</span>,c16 <span class="hljs-keyword">string</span>,c17 <span class="hljs-keyword">string</span>,c18 <span class="hljs-keyword">string</span>,c19 <span class="hljs-keyword">string</span>,c20 <span class="hljs-keyword">string</span>,c21 <span class="hljs-keyword">string</span>,c22 <span class="hljs-keyword">string</span>,c23 <span clas
s="hljs-keyword">string</span>,c24 <span class="hljs-keyword">string</span>,c25 <span class="hljs-keyword">string</span>,c26 <span class="hljs-keyword">string</span>
+) <span class="hljs-keyword">ROW</span> <span class="hljs-keyword">FORMAT</span>
+<span class="hljs-keyword">DELIMITED</span> <span class="hljs-keyword">FIELDS</span> <span class="hljs-keyword">TERMINATED</span> <span class="hljs-keyword">BY</span> <span class="hljs-string">','</span>
+<span class="hljs-keyword">STORED</span> <span class="hljs-keyword">AS</span> TEXTFILE LOCATION <span class="hljs-string">'/criteo/train'</span>;
+</code></pre>
+<pre><code class="lang-sql"><span class="hljs-keyword">DROP</span> <span class="hljs-keyword">TABLE</span> <span class="hljs-keyword">IF</span> <span class="hljs-keyword">EXISTS</span> <span class="hljs-keyword">test</span>;
+<span class="hljs-keyword">CREATE</span> <span class="hljs-keyword">EXTERNAL</span> <span class="hljs-keyword">TABLE</span> <span class="hljs-keyword">test</span> (
+ label <span class="hljs-built_in">int</span>,
+ <span class="hljs-comment">-- quantitative features</span>
+ i1 <span class="hljs-built_in">int</span>,i2 <span class="hljs-built_in">int</span>,i3 <span class="hljs-built_in">int</span>,i4 <span class="hljs-built_in">int</span>,i5 <span class="hljs-built_in">int</span>,i6 <span class="hljs-built_in">int</span>,i7 <span class="hljs-built_in">int</span>,i8 <span class="hljs-built_in">int</span>,i9 <span class="hljs-built_in">int</span>,i10 <span class="hljs-built_in">int</span>,i11 <span class="hljs-built_in">int</span>,i12 <span class="hljs-built_in">int</span>,i13 <span class="hljs-built_in">int</span>,
+ <span class="hljs-comment">-- categorical features</span>
+ c1 <span class="hljs-keyword">string</span>,c2 <span class="hljs-keyword">string</span>,c3 <span class="hljs-keyword">string</span>,c4 <span class="hljs-keyword">string</span>,c5 <span class="hljs-keyword">string</span>,c6 <span class="hljs-keyword">string</span>,c7 <span class="hljs-keyword">string</span>,c8 <span class="hljs-keyword">string</span>,c9 <span class="hljs-keyword">string</span>,c10 <span class="hljs-keyword">string</span>,c11 <span class="hljs-keyword">string</span>,c12 <span class="hljs-keyword">string</span>,c13 <span class="hljs-keyword">string</span>,c14 <span class="hljs-keyword">string</span>,c15 <span class="hljs-keyword">string</span>,c16 <span class="hljs-keyword">string</span>,c17 <span class="hljs-keyword">string</span>,c18 <span class="hljs-keyword">string</span>,c19 <span class="hljs-keyword">string</span>,c20 <span class="hljs-keyword">string</span>,c21 <span class="hljs-keyword">string</span>,c22 <span class="hljs-keyword">string</span>,c23 <span clas
s="hljs-keyword">string</span>,c24 <span class="hljs-keyword">string</span>,c25 <span class="hljs-keyword">string</span>,c26 <span class="hljs-keyword">string</span>
+) <span class="hljs-keyword">ROW</span> <span class="hljs-keyword">FORMAT</span>
+<span class="hljs-keyword">DELIMITED</span> <span class="hljs-keyword">FIELDS</span> <span class="hljs-keyword">TERMINATED</span> <span class="hljs-keyword">BY</span> <span class="hljs-string">','</span>
+<span class="hljs-keyword">STORED</span> <span class="hljs-keyword">AS</span> TEXTFILE LOCATION <span class="hljs-string">'/criteo/test'</span>;
+</code></pre>
+<p><div id="page-footer" class="localized-footer"><hr><!--
+ Licensed to the Apache Software Foundation (ASF) under one
+ or more contributor license agreements. See the NOTICE file
+ distributed with this work for additional information
+ regarding copyright ownership. The ASF licenses this file
+ to you under the Apache License, Version 2.0 (the
+ "License"); you may not use this file except in compliance
+ with the License. You may obtain a copy of the License at
+
+ http://www.apache.org/licenses/LICENSE-2.0
+
+ Unless required by applicable law or agreed to in writing,
+ software distributed under the License is distributed on an
+ "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ KIND, either express or implied. See the License for the
+ specific language governing permissions and limitations
+ under the License.
+-->
+<p><sub><font color="gray">
+Apache Hivemall is an effort undergoing incubation at The Apache Software Foundation (ASF), sponsored by the Apache Incubator.
+</font></sub></p>
+</div></p>
+
+
+ </section>
+
+ </div>
+ <div class="search-results">
+ <div class="has-results">
+
+ <h1 class="search-results-title"><span class='search-results-count'></span> results matching "<span class='search-query'></span>"</h1>
+ <ul class="search-results-list"></ul>
+
+ </div>
+ <div class="no-results">
+
+ <h1 class="search-results-title">No results matching "<span class='search-query'></span>"</h1>
+
+ </div>
+ </div>
+</div>
+
+ </div>
+ </div>
+
+ </div>
+
+
+
+
+ </div>
+
+ <script>
+ var gitbook = gitbook || [];
+ gitbook.push(function() {
+ gitbook.page.hasChanged({"page":{"title":"Data preparation","level":"6.8.1","depth":2,"next":{"title":"Field-Aware Factorization Machines","level":"6.8.2","depth":2,"path":"binaryclass/criteo_ffm.md","ref":"binaryclass/criteo_ffm.md","articles":[]},"previous":{"title":"Criteo Tutorial","level":"6.8","depth":1,"path":"binaryclass/criteo.md","ref":"binaryclass/criteo.md","articles":[{"title":"Data preparation","level":"6.8.1","depth":2,"path":"binaryclass/criteo_dataset.md","ref":"binaryclass/criteo_dataset.md","articles":[]},{"title":"Field-Aware Factorization Machines","level":"6.8.2","depth":2,"path":"binaryclass/criteo_ffm.md","ref":"binaryclass/criteo_ffm.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-lin
k":{"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/criteo_dataset.md","mtime":"2018-08-29T08:55:00.
265Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-08-31T06:54:21.013Z"},"basePath":"..","book":{"language":""}});
+ });
+ </script>
+</div>
+
+
+ <script src="../gitbook/gitbook.js"></script>
+ <script src="../gitbook/theme.js"></script>
+
+
+ <script src="../gitbook/gitbook-plugin-edit-link/plugin.js"></script>
+
+
+
+ <script src="../gitbook/gitbook-plugin-github/plugin.js"></script>
+
+
+
+ <script src="../gitbook/gitbook-plugin-splitter/splitter.js"></script>
+
+
+
+ <script src="../gitbook/gitbook-plugin-etoc/plugin.js"></script>
+
+
+
+ <script src="../gitbook/gitbook-plugin-toggle-chapters/toggle.js"></script>
+
+
+
+ <script src="https://cdnjs.cloudflare.com/ajax/libs/anchor-js/4.1.1/anchor.min.js"></script>
+
+
+
+ <script src="../gitbook/gitbook-plugin-anchorjs/anchor-style.js"></script>
+
+
+
+ <script src="../gitbook/gitbook-plugin-expandable-chapters/expandable-chapters.js"></script>
+
+
+
+ <script src="../gitbook/gitbook-plugin-search/search-engine.js"></script>
+
+
+
+ <script src="../gitbook/gitbook-plugin-search/search.js"></script>
+
+
+
+ <script src="../gitbook/gitbook-plugin-lunr/lunr.min.js"></script>
+
+
+
+ <script src="../gitbook/gitbook-plugin-lunr/search-lunr.js"></script>
+
+
+
+ <script src="../gitbook/gitbook-plugin-sharing/buttons.js"></script>
+
+
+
+ <script src="../gitbook/gitbook-plugin-fontsettings/fontsettings.js"></script>
+
+
+
+ <script src="../gitbook/gitbook-plugin-theme-api/theme-api.js"></script>
+
+
+
+ </body>
+</html>
+
[10/20] incubator-hivemall-site git commit: Added criteo example and
step-by-step guide for general classifier/regressor
Posted by my...@apache.org.
http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/6c6a1b42/userguide/multiclass/news20_ensemble.html
----------------------------------------------------------------------
diff --git a/userguide/multiclass/news20_ensemble.html b/userguide/multiclass/news20_ensemble.html
index 272ef10..10738b7 100644
--- a/userguide/multiclass/news20_ensemble.html
+++ b/userguide/multiclass/news20_ensemble.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>
+
@@ -2462,7 +2528,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
<script>
var gitbook = gitbook || [];
gitbook.push(function() {
- gitbook.page.hasChanged({"page":{"title":"Ensemble learning","level":"7.1.5","depth":2,"next":{"title":"one-vs-the-rest classifier","level":"7.1.6","depth":2,"path":"multiclass/news20_one-vs-the-rest.md","ref":"multiclass/news20_one-vs-the-rest.md","articles":[]},"previous":{"title":"CW, AROW, SCW","level":"7.1.4","depth":2,"path":"multiclass/news20_scw.md","ref":"multiclass/news20_scw.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.c
ss"},"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":"multiclass/news20_ensemble.md","mtime":"2017-12-11T08:48:01.137Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-06-06T09:01:20.330Z"},"basePath":"..","book":{"language":""}});
+ gitbook.page.hasChanged({"page":{"title":"Ensemble learning","level":"7.1.5","depth":2,"next":{"title":"one-vs-the-rest classifier","level":"7.1.6","depth":2,"path":"multiclass/news20_one-vs-the-rest.md","ref":"multiclass/news20_one-vs-the-rest.md","articles":[]},"previous":{"title":"CW, AROW, SCW","level":"7.1.4","depth":2,"path":"multiclass/news20_scw.md","ref":"multiclass/news20_scw.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.c
ss"},"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":"multiclass/news20_ensemble.md","mtime":"2018-08-29T08:55:00.279Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-08-31T06:54:21.013Z"},"basePath":"..","book":{"language":""}});
});
</script>
</div>
@@ -2492,7 +2558,7 @@ 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/multiclass/news20_one-vs-the-rest.html
----------------------------------------------------------------------
diff --git a/userguide/multiclass/news20_one-vs-the-rest.html b/userguide/multiclass/news20_one-vs-the-rest.html
index 315c9aa..7f25e32 100644
--- a/userguide/multiclass/news20_one-vs-the-rest.html
+++ b/userguide/multiclass/news20_one-vs-the-rest.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>
+
@@ -2603,7 +2669,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
<script>
var gitbook = gitbook || [];
gitbook.push(function() {
- gitbook.page.hasChanged({"page":{"title":"one-vs-the-rest classifier","level":"7.1.6","depth":2,"next":{"title":"Iris Tutorial","level":"7.2","depth":1,"path":"multiclass/iris.md","ref":"multiclass/iris.md","articles":[{"title":"Data preparation","level":"7.2.1","depth":2,"path":"multiclass/iris_dataset.md","ref":"multiclass/iris_dataset.md","articles":[]},{"title":"SCW","level":"7.2.2","depth":2,"path":"multiclass/iris_scw.md","ref":"multiclass/iris_scw.md","articles":[]},{"title":"Random Forest","level":"7.2.3","depth":2,"path":"multiclass/iris_randomforest.md","ref":"multiclass/iris_randomforest.md","articles":[]}]},"previous":{"title":"Ensemble learning","level":"7.1.5","depth":2,"path":"multiclass/news20_ensemble.md","ref":"multiclass/news20_ensemble.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,"i
nstapaper":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 f
or Apache Hivemall"},"file":{"path":"multiclass/news20_one-vs-the-rest.md","mtime":"2017-12-11T08:48:01.137Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-06-06T09:01:20.330Z"},"basePath":"..","book":{"language":""}});
+ gitbook.page.hasChanged({"page":{"title":"one-vs-the-rest classifier","level":"7.1.6","depth":2,"next":{"title":"Iris Tutorial","level":"7.2","depth":1,"path":"multiclass/iris.md","ref":"multiclass/iris.md","articles":[{"title":"Data preparation","level":"7.2.1","depth":2,"path":"multiclass/iris_dataset.md","ref":"multiclass/iris_dataset.md","articles":[]},{"title":"SCW","level":"7.2.2","depth":2,"path":"multiclass/iris_scw.md","ref":"multiclass/iris_scw.md","articles":[]},{"title":"Random Forest","level":"7.2.3","depth":2,"path":"multiclass/iris_randomforest.md","ref":"multiclass/iris_randomforest.md","articles":[]}]},"previous":{"title":"Ensemble learning","level":"7.1.5","depth":2,"path":"multiclass/news20_ensemble.md","ref":"multiclass/news20_ensemble.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,"i
nstapaper":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 f
or Apache Hivemall"},"file":{"path":"multiclass/news20_one-vs-the-rest.md","mtime":"2018-08-29T08:55:00.279Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-08-31T06:54:21.013Z"},"basePath":"..","book":{"language":""}});
});
</script>
</div>
@@ -2633,7 +2699,7 @@ 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/multiclass/news20_one-vs-the-rest_dataset.html
----------------------------------------------------------------------
diff --git a/userguide/multiclass/news20_one-vs-the-rest_dataset.html b/userguide/multiclass/news20_one-vs-the-rest_dataset.html
index ac2c956..050a390 100644
--- a/userguide/multiclass/news20_one-vs-the-rest_dataset.html
+++ b/userguide/multiclass/news20_one-vs-the-rest_dataset.html
@@ -861,9 +861,9 @@
- <li class="chapter " data-level="5.1" data-path="../misc/prediction.html">
+ <li class="chapter " data-level="5.1" data-path="../supervised_learning/prediction.html">
- <a href="../misc/prediction.html">
+ <a href="../supervised_learning/prediction.html">
<b>5.1.</b>
@@ -876,6 +876,21 @@
</li>
+ <li class="chapter " data-level="5.2" data-path="../supervised_learning/tutorial.html">
+
+ <a href="../supervised_learning/tutorial.html">
+
+
+ <b>5.2.</b>
+
+ Step-by-Step Tutorial on Supervised Learning
+
+ </a>
+
+
+
+ </li>
+
@@ -1228,6 +1243,57 @@
</li>
+ <li class="chapter " data-level="6.8" data-path="../binaryclass/criteo.html">
+
+ <a href="../binaryclass/criteo.html">
+
+
+ <b>6.8.</b>
+
+ Criteo Tutorial
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="6.8.1" data-path="../binaryclass/criteo_dataset.html">
+
+ <a href="../binaryclass/criteo_dataset.html">
+
+
+ <b>6.8.1.</b>
+
+ Data preparation
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="6.8.2" data-path="../binaryclass/criteo_ffm.html">
+
+ <a href="../binaryclass/criteo_ffm.html">
+
+
+ <b>6.8.2.</b>
+
+ Field-Aware Factorization Machines
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
@@ -2313,7 +2379,7 @@ 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 for one-vs-the-rest classifiers","level":"7.1.2","depth":2,"next":{"title":"PA","level":"7.1.3","depth":2,"path":"multiclass/news20_pa.md","ref":"multiclass/news20_pa.md","articles":[]},"previous":{"title":"Data preparation","level":"7.1.1","depth":2,"path":"multiclass/news20_dataset.md","ref":"multiclass/news20_dataset.md","articles":[]},"dir":"ltr"},"config":{"plugins":["theme-api","edit-link","github","splitter","sitemap","etoc","callouts","toggle-chapters","anchorjs","codeblock-filename","expandable-chapters","multipart","codeblock-filename","katex","emphasize","localized-footer"],"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"pluginsConfig":{"emphasize":{},"callouts":{},"etoc":{"h2lb":3,"header":1,"maxdepth":3,"mindepth":1,"notoc":true},"github":{"url":"https://github.com/apache/incubato
r-hivemall/"},"splitter":{},"search":{},"downloadpdf":{"base":"https://github.com/apache/incubator-hivemall/docs/gitbook","label":"PDF","multilingual":false},"multipart":{},"localized-footer":{"filename":"FOOTER.md","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"},"sh
owLevel":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":"multiclass/news20_one-vs-the-rest_dataset.md","mtime":"2017-12-11T08:48:01.137Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-06-06T09:01:20.330Z"},"basePath":"..","book":{"language":""}});
+ gitbook.page.hasChanged({"page":{"title":"Data preparation for one-vs-the-rest classifiers","level":"7.1.2","depth":2,"next":{"title":"PA","level":"7.1.3","depth":2,"path":"multiclass/news20_pa.md","ref":"multiclass/news20_pa.md","articles":[]},"previous":{"title":"Data preparation","level":"7.1.1","depth":2,"path":"multiclass/news20_dataset.md","ref":"multiclass/news20_dataset.md","articles":[]},"dir":"ltr"},"config":{"plugins":["theme-api","edit-link","github","splitter","sitemap","etoc","callouts","toggle-chapters","anchorjs","codeblock-filename","expandable-chapters","multipart","codeblock-filename","katex","emphasize","localized-footer"],"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"pluginsConfig":{"emphasize":{},"callouts":{},"etoc":{"h2lb":3,"header":1,"maxdepth":3,"mindepth":1,"notoc":true},"github":{"url":"https://github.com/apache/incubato
r-hivemall/"},"splitter":{},"search":{},"downloadpdf":{"base":"https://github.com/apache/incubator-hivemall/docs/gitbook","label":"PDF","multilingual":false},"multipart":{},"localized-footer":{"filename":"FOOTER.md","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"},"sh
owLevel":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":"multiclass/news20_one-vs-the-rest_dataset.md","mtime":"2018-08-29T08:55:00.279Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-08-31T06:54:21.013Z"},"basePath":"..","book":{"language":""}});
});
</script>
</div>
@@ -2343,7 +2409,7 @@ 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/multiclass/news20_pa.html
----------------------------------------------------------------------
diff --git a/userguide/multiclass/news20_pa.html b/userguide/multiclass/news20_pa.html
index 069dc0d..9ae01f5 100644
--- a/userguide/multiclass/news20_pa.html
+++ b/userguide/multiclass/news20_pa.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>
+
@@ -2340,7 +2406,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
<script>
var gitbook = gitbook || [];
gitbook.push(function() {
- gitbook.page.hasChanged({"page":{"title":"PA","level":"7.1.3","depth":2,"next":{"title":"CW, AROW, SCW","level":"7.1.4","depth":2,"path":"multiclass/news20_scw.md","ref":"multiclass/news20_scw.md","articles":[]},"previous":{"title":"Data preparation for one-vs-the-rest classifiers","level":"7.1.2","depth":2,"path":"multiclass/news20_one-vs-the-rest_dataset.md","ref":"multiclass/news20_one-vs-the-rest_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":"htt
ps://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":"multiclass/news20_pa.md","mtime":"2017-12-11T08:48:01.137Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-06-06T09:01:20.330Z"},"basePath":"..","book":{"language":""}});
+ gitbook.page.hasChanged({"page":{"title":"PA","level":"7.1.3","depth":2,"next":{"title":"CW, AROW, SCW","level":"7.1.4","depth":2,"path":"multiclass/news20_scw.md","ref":"multiclass/news20_scw.md","articles":[]},"previous":{"title":"Data preparation for one-vs-the-rest classifiers","level":"7.1.2","depth":2,"path":"multiclass/news20_one-vs-the-rest_dataset.md","ref":"multiclass/news20_one-vs-the-rest_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":"htt
ps://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":"multiclass/news20_pa.md","mtime":"2018-08-29T08:55:00.280Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-08-31T06:54:21.013Z"},"basePath":"..","book":{"language":""}});
});
</script>
</div>
@@ -2370,7 +2436,7 @@ 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/multiclass/news20_scw.html
----------------------------------------------------------------------
diff --git a/userguide/multiclass/news20_scw.html b/userguide/multiclass/news20_scw.html
index ed1fcf4..ed3cf04 100644
--- a/userguide/multiclass/news20_scw.html
+++ b/userguide/multiclass/news20_scw.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>
+
@@ -2560,7 +2626,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
<script>
var gitbook = gitbook || [];
gitbook.push(function() {
- gitbook.page.hasChanged({"page":{"title":"CW, AROW, SCW","level":"7.1.4","depth":2,"next":{"title":"Ensemble learning","level":"7.1.5","depth":2,"path":"multiclass/news20_ensemble.md","ref":"multiclass/news20_ensemble.md","articles":[]},"previous":{"title":"PA","level":"7.1.3","depth":2,"path":"multiclass/news20_pa.md","ref":"multiclass/news20_pa.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":{},"sea
rch":{},"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":{"sele
ctor":"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":"multiclass/news20_scw.md","mtime":"2017-12-11T08:48:01.137Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-06-06T09:01:20.330Z"},"basePath":"..","book":{"language":""}});
+ gitbook.page.hasChanged({"page":{"title":"CW, AROW, SCW","level":"7.1.4","depth":2,"next":{"title":"Ensemble learning","level":"7.1.5","depth":2,"path":"multiclass/news20_ensemble.md","ref":"multiclass/news20_ensemble.md","articles":[]},"previous":{"title":"PA","level":"7.1.3","depth":2,"path":"multiclass/news20_pa.md","ref":"multiclass/news20_pa.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":{},"sea
rch":{},"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":{"sele
ctor":"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":"multiclass/news20_scw.md","mtime":"2018-08-29T08:55:00.280Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-08-31T06:54:21.013Z"},"basePath":"..","book":{"language":""}});
});
</script>
</div>
@@ -2590,7 +2656,7 @@ 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/recommend/cf.html
----------------------------------------------------------------------
diff --git a/userguide/recommend/cf.html b/userguide/recommend/cf.html
index 2e4102b..f95256f 100644
--- a/userguide/recommend/cf.html
+++ b/userguide/recommend/cf.html
@@ -861,9 +861,9 @@
- <li class="chapter " data-level="5.1" data-path="../misc/prediction.html">
+ <li class="chapter " data-level="5.1" data-path="../supervised_learning/prediction.html">
- <a href="../misc/prediction.html">
+ <a href="../supervised_learning/prediction.html">
<b>5.1.</b>
@@ -876,6 +876,21 @@
</li>
+ <li class="chapter " data-level="5.2" data-path="../supervised_learning/tutorial.html">
+
+ <a href="../supervised_learning/tutorial.html">
+
+
+ <b>5.2.</b>
+
+ Step-by-Step Tutorial on Supervised Learning
+
+ </a>
+
+
+
+ </li>
+
@@ -1228,6 +1243,57 @@
</li>
+ <li class="chapter " data-level="6.8" data-path="../binaryclass/criteo.html">
+
+ <a href="../binaryclass/criteo.html">
+
+
+ <b>6.8.</b>
+
+ Criteo Tutorial
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="6.8.1" data-path="../binaryclass/criteo_dataset.html">
+
+ <a href="../binaryclass/criteo_dataset.html">
+
+
+ <b>6.8.1.</b>
+
+ Data preparation
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="6.8.2" data-path="../binaryclass/criteo_ffm.html">
+
+ <a href="../binaryclass/criteo_ffm.html">
+
+
+ <b>6.8.2.</b>
+
+ Field-Aware Factorization Machines
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
@@ -2270,7 +2336,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
<script>
var gitbook = gitbook || [];
gitbook.push(function() {
- gitbook.page.hasChanged({"page":{"title":"Collaborative Filtering","level":"9.1","depth":1,"next":{"title":"Item-based collaborative filtering","level":"9.1.1","depth":2,"path":"recommend/item_based_cf.md","ref":"recommend/item_based_cf.md","articles":[]},"previous":{"title":"AdaGrad, AdaDelta","level":"8.3.4","depth":2,"path":"regression/kddcup12tr2_adagrad.md","ref":"regression/kddcup12tr2_adagrad.md","articles":[]},"dir":"ltr"},"config":{"plugins":["theme-api","edit-link","github","splitter","sitemap","etoc","callouts","toggle-chapters","anchorjs","codeblock-filename","expandable-chapters","multipart","codeblock-filename","katex","emphasize","localized-footer"],"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"pluginsConfig":{"emphasize":{},"callouts":{},"etoc":{"h2lb":3,"header":1,"maxdepth":3,"mindepth":1,"notoc":true},"github":{"url":"https://gith
ub.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":"recommend/cf.md","mtime":"2017-12-11T08:48:01.138Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-06-06T09:01:20.330Z"},"basePath":"..","book":{"language":""}});
+ gitbook.page.hasChanged({"page":{"title":"Collaborative Filtering","level":"9.1","depth":1,"next":{"title":"Item-based collaborative filtering","level":"9.1.1","depth":2,"path":"recommend/item_based_cf.md","ref":"recommend/item_based_cf.md","articles":[]},"previous":{"title":"AdaGrad, AdaDelta","level":"8.3.4","depth":2,"path":"regression/kddcup12tr2_adagrad.md","ref":"regression/kddcup12tr2_adagrad.md","articles":[]},"dir":"ltr"},"config":{"plugins":["theme-api","edit-link","github","splitter","sitemap","etoc","callouts","toggle-chapters","anchorjs","codeblock-filename","expandable-chapters","multipart","codeblock-filename","katex","emphasize","localized-footer"],"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"pluginsConfig":{"emphasize":{},"callouts":{},"etoc":{"h2lb":3,"header":1,"maxdepth":3,"mindepth":1,"notoc":true},"github":{"url":"https://gith
ub.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":"recommend/cf.md","mtime":"2018-08-29T08:55:00.280Z","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/recommend/item_based_cf.html
----------------------------------------------------------------------
diff --git a/userguide/recommend/item_based_cf.html b/userguide/recommend/item_based_cf.html
index dea7a35..1097726 100644
--- a/userguide/recommend/item_based_cf.html
+++ b/userguide/recommend/item_based_cf.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>
+
@@ -3031,7 +3097,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
<script>
var gitbook = gitbook || [];
gitbook.push(function() {
- gitbook.page.hasChanged({"page":{"title":"Item-based collaborative filtering","level":"9.1.1","depth":2,"next":{"title":"News20 Related Article Recommendation Tutorial","level":"9.2","depth":1,"path":"recommend/news20.md","ref":"recommend/news20.md","articles":[{"title":"Data preparation","level":"9.2.1","depth":2,"path":"multiclass/news20_dataset.md","ref":"multiclass/news20_dataset.md","articles":[]},{"title":"LSH/MinHash and Jaccard similarity","level":"9.2.2","depth":2,"path":"recommend/news20_jaccard.md","ref":"recommend/news20_jaccard.md","articles":[]},{"title":"LSH/MinHash and brute-force search","level":"9.2.3","depth":2,"path":"recommend/news20_knn.md","ref":"recommend/news20_knn.md","articles":[]},{"title":"kNN search using b-Bits MinHash","level":"9.2.4","depth":2,"path":"recommend/news20_bbit_minhash.md","ref":"recommend/news20_bbit_minhash.md","articles":[]}]},"previous":{"title":"Collaborative Filtering","level":"9.1","depth":1,"path":"recommend/cf.md","re
f":"recommend/cf.md","articles":[{"title":"Item-based collaborative filtering","level":"9.1.1","depth":2,"path":"recommend/item_based_cf.md","ref":"recommend/item_based_cf.md","articles":[]}]},"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","hl
ine":"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","c
hapterMark":"pagebreak","pageBreaksBefore":"/","margin":{"right":62,"left":62,"top":56,"bottom":56}},"structure":{"langs":"LANGS.md","readme":"README.md","glossary":"GLOSSARY.md","summary":"SUMMARY.md"},"variables":{},"title":"Hivemall User Manual","links":{"sidebar":{"<i class=\"fa fa-home\"></i> Home":"http://hivemall.incubator.apache.org/"}},"gitbook":"3.x.x","description":"User Manual for Apache Hivemall"},"file":{"path":"recommend/item_based_cf.md","mtime":"2017-12-11T08:48:01.138Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-06-06T09:01:20.330Z"},"basePath":"..","book":{"language":""}});
+ gitbook.page.hasChanged({"page":{"title":"Item-based collaborative filtering","level":"9.1.1","depth":2,"next":{"title":"News20 Related Article Recommendation Tutorial","level":"9.2","depth":1,"path":"recommend/news20.md","ref":"recommend/news20.md","articles":[{"title":"Data preparation","level":"9.2.1","depth":2,"path":"multiclass/news20_dataset.md","ref":"multiclass/news20_dataset.md","articles":[]},{"title":"LSH/MinHash and Jaccard similarity","level":"9.2.2","depth":2,"path":"recommend/news20_jaccard.md","ref":"recommend/news20_jaccard.md","articles":[]},{"title":"LSH/MinHash and brute-force search","level":"9.2.3","depth":2,"path":"recommend/news20_knn.md","ref":"recommend/news20_knn.md","articles":[]},{"title":"kNN search using b-Bits MinHash","level":"9.2.4","depth":2,"path":"recommend/news20_bbit_minhash.md","ref":"recommend/news20_bbit_minhash.md","articles":[]}]},"previous":{"title":"Collaborative Filtering","level":"9.1","depth":1,"path":"recommend/cf.md","re
f":"recommend/cf.md","articles":[{"title":"Item-based collaborative filtering","level":"9.1.1","depth":2,"path":"recommend/item_based_cf.md","ref":"recommend/item_based_cf.md","articles":[]}]},"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","hl
ine":"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","c
hapterMark":"pagebreak","pageBreaksBefore":"/","margin":{"right":62,"left":62,"top":56,"bottom":56}},"structure":{"langs":"LANGS.md","readme":"README.md","glossary":"GLOSSARY.md","summary":"SUMMARY.md"},"variables":{},"title":"Hivemall User Manual","links":{"sidebar":{"<i class=\"fa fa-home\"></i> Home":"http://hivemall.incubator.apache.org/"}},"gitbook":"3.x.x","description":"User Manual for Apache Hivemall"},"file":{"path":"recommend/item_based_cf.md","mtime":"2018-08-29T08:55:00.281Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-08-31T06:54:21.013Z"},"basePath":"..","book":{"language":""}});
});
</script>
</div>
@@ -3061,7 +3127,7 @@ 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/recommend/movielens.html
----------------------------------------------------------------------
diff --git a/userguide/recommend/movielens.html b/userguide/recommend/movielens.html
index f573993..f59cd70 100644
--- a/userguide/recommend/movielens.html
+++ b/userguide/recommend/movielens.html
@@ -861,9 +861,9 @@
- <li class="chapter " data-level="5.1" data-path="../misc/prediction.html">
+ <li class="chapter " data-level="5.1" data-path="../supervised_learning/prediction.html">
- <a href="../misc/prediction.html">
+ <a href="../supervised_learning/prediction.html">
<b>5.1.</b>
@@ -876,6 +876,21 @@
</li>
+ <li class="chapter " data-level="5.2" data-path="../supervised_learning/tutorial.html">
+
+ <a href="../supervised_learning/tutorial.html">
+
+
+ <b>5.2.</b>
+
+ Step-by-Step Tutorial on Supervised Learning
+
+ </a>
+
+
+
+ </li>
+
@@ -1228,6 +1243,57 @@
</li>
+ <li class="chapter " data-level="6.8" data-path="../binaryclass/criteo.html">
+
+ <a href="../binaryclass/criteo.html">
+
+
+ <b>6.8.</b>
+
+ Criteo Tutorial
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="6.8.1" data-path="../binaryclass/criteo_dataset.html">
+
+ <a href="../binaryclass/criteo_dataset.html">
+
+
+ <b>6.8.1.</b>
+
+ Data preparation
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="6.8.2" data-path="../binaryclass/criteo_ffm.html">
+
+ <a href="../binaryclass/criteo_ffm.html">
+
+
+ <b>6.8.2.</b>
+
+ Field-Aware Factorization Machines
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
@@ -2270,7 +2336,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
<script>
var gitbook = gitbook || [];
gitbook.push(function() {
- gitbook.page.hasChanged({"page":{"title":"MovieLens Movie Recommendation Tutorial","level":"9.3","depth":1,"next":{"title":"Data preparation","level":"9.3.1","depth":2,"path":"recommend/movielens_dataset.md","ref":"recommend/movielens_dataset.md","articles":[]},"previous":{"title":"kNN search using b-Bits MinHash","level":"9.2.4","depth":2,"path":"recommend/news20_bbit_minhash.md","ref":"recommend/news20_bbit_minhash.md","articles":[]},"dir":"ltr"},"config":{"plugins":["theme-api","edit-link","github","splitter","sitemap","etoc","callouts","toggle-chapters","anchorjs","codeblock-filename","expandable-chapters","multipart","codeblock-filename","katex","emphasize","localized-footer"],"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"pluginsConfig":{"emphasize":{},"callouts":{},"etoc":{"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/eb
ook.css","print":"styles/print.css"},"showLevel":true},"anchorjs":{"selector":"h1,h2,h3,*:not(.callout) > h4,h5"},"toggle-chapters":{},"expandable-chapters":{}},"theme":"default","pdf":{"pageNumbers":true,"fontSize":12,"fontFamily":"Arial","paperSize":"a4","chapterMark":"pagebreak","pageBreaksBefore":"/","margin":{"right":62,"left":62,"top":56,"bottom":56}},"structure":{"langs":"LANGS.md","readme":"README.md","glossary":"GLOSSARY.md","summary":"SUMMARY.md"},"variables":{},"title":"Hivemall User Manual","links":{"sidebar":{"<i class=\"fa fa-home\"></i> Home":"http://hivemall.incubator.apache.org/"}},"gitbook":"3.x.x","description":"User Manual for Apache Hivemall"},"file":{"path":"recommend/movielens.md","mtime":"2017-12-11T08:48:01.138Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-06-06T09:01:20.330Z"},"basePath":"..","book":{"language":""}});
+ gitbook.page.hasChanged({"page":{"title":"MovieLens Movie Recommendation Tutorial","level":"9.3","depth":1,"next":{"title":"Data preparation","level":"9.3.1","depth":2,"path":"recommend/movielens_dataset.md","ref":"recommend/movielens_dataset.md","articles":[]},"previous":{"title":"kNN search using b-Bits MinHash","level":"9.2.4","depth":2,"path":"recommend/news20_bbit_minhash.md","ref":"recommend/news20_bbit_minhash.md","articles":[]},"dir":"ltr"},"config":{"plugins":["theme-api","edit-link","github","splitter","sitemap","etoc","callouts","toggle-chapters","anchorjs","codeblock-filename","expandable-chapters","multipart","codeblock-filename","katex","emphasize","localized-footer"],"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"pluginsConfig":{"emphasize":{},"callouts":{},"etoc":{"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/eb
ook.css","print":"styles/print.css"},"showLevel":true},"anchorjs":{"selector":"h1,h2,h3,*:not(.callout) > h4,h5"},"toggle-chapters":{},"expandable-chapters":{}},"theme":"default","pdf":{"pageNumbers":true,"fontSize":12,"fontFamily":"Arial","paperSize":"a4","chapterMark":"pagebreak","pageBreaksBefore":"/","margin":{"right":62,"left":62,"top":56,"bottom":56}},"structure":{"langs":"LANGS.md","readme":"README.md","glossary":"GLOSSARY.md","summary":"SUMMARY.md"},"variables":{},"title":"Hivemall User Manual","links":{"sidebar":{"<i class=\"fa fa-home\"></i> Home":"http://hivemall.incubator.apache.org/"}},"gitbook":"3.x.x","description":"User Manual for Apache Hivemall"},"file":{"path":"recommend/movielens.md","mtime":"2018-08-29T08:55:00.281Z","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/recommend/movielens_cf.html
----------------------------------------------------------------------
diff --git a/userguide/recommend/movielens_cf.html b/userguide/recommend/movielens_cf.html
index 0e39435..996b6bb 100644
--- a/userguide/recommend/movielens_cf.html
+++ b/userguide/recommend/movielens_cf.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>
+
@@ -2612,7 +2678,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
<script>
var gitbook = gitbook || [];
gitbook.push(function() {
- gitbook.page.hasChanged({"page":{"title":"Item-based collaborative filtering","level":"9.3.2","depth":2,"next":{"title":"Matrix Factorization","level":"9.3.3","depth":2,"path":"recommend/movielens_mf.md","ref":"recommend/movielens_mf.md","articles":[]},"previous":{"title":"Data preparation","level":"9.3.1","depth":2,"path":"recommend/movielens_dataset.md","ref":"recommend/movielens_dataset.md","articles":[]},"dir":"ltr"},"config":{"plugins":["theme-api","edit-link","github","splitter","sitemap","etoc","callouts","toggle-chapters","anchorjs","codeblock-filename","expandable-chapters","multipart","codeblock-filename","katex","emphasize","localized-footer"],"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"pluginsConfig":{"emphasize":{},"callouts":{},"etoc":{"h2lb":3,"header":1,"maxdepth":3,"mindepth":1,"notoc":true},"github":{"url":"https://github.com/apa
che/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/pri
nt.css"},"showLevel":true},"anchorjs":{"selector":"h1,h2,h3,*:not(.callout) > h4,h5"},"toggle-chapters":{},"expandable-chapters":{}},"theme":"default","pdf":{"pageNumbers":true,"fontSize":12,"fontFamily":"Arial","paperSize":"a4","chapterMark":"pagebreak","pageBreaksBefore":"/","margin":{"right":62,"left":62,"top":56,"bottom":56}},"structure":{"langs":"LANGS.md","readme":"README.md","glossary":"GLOSSARY.md","summary":"SUMMARY.md"},"variables":{},"title":"Hivemall User Manual","links":{"sidebar":{"<i class=\"fa fa-home\"></i> Home":"http://hivemall.incubator.apache.org/"}},"gitbook":"3.x.x","description":"User Manual for Apache Hivemall"},"file":{"path":"recommend/movielens_cf.md","mtime":"2017-12-11T08:48:01.138Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-06-06T09:01:20.330Z"},"basePath":"..","book":{"language":""}});
+ gitbook.page.hasChanged({"page":{"title":"Item-based collaborative filtering","level":"9.3.2","depth":2,"next":{"title":"Matrix Factorization","level":"9.3.3","depth":2,"path":"recommend/movielens_mf.md","ref":"recommend/movielens_mf.md","articles":[]},"previous":{"title":"Data preparation","level":"9.3.1","depth":2,"path":"recommend/movielens_dataset.md","ref":"recommend/movielens_dataset.md","articles":[]},"dir":"ltr"},"config":{"plugins":["theme-api","edit-link","github","splitter","sitemap","etoc","callouts","toggle-chapters","anchorjs","codeblock-filename","expandable-chapters","multipart","codeblock-filename","katex","emphasize","localized-footer"],"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"pluginsConfig":{"emphasize":{},"callouts":{},"etoc":{"h2lb":3,"header":1,"maxdepth":3,"mindepth":1,"notoc":true},"github":{"url":"https://github.com/apa
che/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/pri
nt.css"},"showLevel":true},"anchorjs":{"selector":"h1,h2,h3,*:not(.callout) > h4,h5"},"toggle-chapters":{},"expandable-chapters":{}},"theme":"default","pdf":{"pageNumbers":true,"fontSize":12,"fontFamily":"Arial","paperSize":"a4","chapterMark":"pagebreak","pageBreaksBefore":"/","margin":{"right":62,"left":62,"top":56,"bottom":56}},"structure":{"langs":"LANGS.md","readme":"README.md","glossary":"GLOSSARY.md","summary":"SUMMARY.md"},"variables":{},"title":"Hivemall User Manual","links":{"sidebar":{"<i class=\"fa fa-home\"></i> Home":"http://hivemall.incubator.apache.org/"}},"gitbook":"3.x.x","description":"User Manual for Apache Hivemall"},"file":{"path":"recommend/movielens_cf.md","mtime":"2018-08-29T08:55:00.281Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-08-31T06:54:21.013Z"},"basePath":"..","book":{"language":""}});
});
</script>
</div>
@@ -2642,7 +2708,7 @@ 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>
[08/20] incubator-hivemall-site git commit: Added criteo example and
step-by-step guide for general classifier/regressor
Posted by my...@apache.org.
http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/6c6a1b42/userguide/regression/e2006.html
----------------------------------------------------------------------
diff --git a/userguide/regression/e2006.html b/userguide/regression/e2006.html
index ef98e5e..a4cc962 100644
--- a/userguide/regression/e2006.html
+++ b/userguide/regression/e2006.html
@@ -861,9 +861,9 @@
- <li class="chapter " data-level="5.1" data-path="../misc/prediction.html">
+ <li class="chapter " data-level="5.1" data-path="../supervised_learning/prediction.html">
- <a href="../misc/prediction.html">
+ <a href="../supervised_learning/prediction.html">
<b>5.1.</b>
@@ -876,6 +876,21 @@
</li>
+ <li class="chapter " data-level="5.2" data-path="../supervised_learning/tutorial.html">
+
+ <a href="../supervised_learning/tutorial.html">
+
+
+ <b>5.2.</b>
+
+ Step-by-Step Tutorial on Supervised Learning
+
+ </a>
+
+
+
+ </li>
+
@@ -1228,6 +1243,57 @@
</li>
+ <li class="chapter " data-level="6.8" data-path="../binaryclass/criteo.html">
+
+ <a href="../binaryclass/criteo.html">
+
+
+ <b>6.8.</b>
+
+ Criteo Tutorial
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="6.8.1" data-path="../binaryclass/criteo_dataset.html">
+
+ <a href="../binaryclass/criteo_dataset.html">
+
+
+ <b>6.8.1.</b>
+
+ Data preparation
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="6.8.2" data-path="../binaryclass/criteo_ffm.html">
+
+ <a href="../binaryclass/criteo_ffm.html">
+
+
+ <b>6.8.2.</b>
+
+ Field-Aware Factorization Machines
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
@@ -2270,7 +2336,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
<script>
var gitbook = gitbook || [];
gitbook.push(function() {
- gitbook.page.hasChanged({"page":{"title":"E2006-tfidf Regression Tutorial","level":"8.2","depth":1,"next":{"title":"Data preparation","level":"8.2.1","depth":2,"path":"regression/e2006_dataset.md","ref":"regression/e2006_dataset.md","articles":[]},"previous":{"title":"Regression","level":"8.1","depth":1,"path":"regression/general.md","ref":"regression/general.md","articles":[]},"dir":"ltr"},"config":{"plugins":["theme-api","edit-link","github","splitter","sitemap","etoc","callouts","toggle-chapters","anchorjs","codeblock-filename","expandable-chapters","multipart","codeblock-filename","katex","emphasize","localized-footer"],"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"pluginsConfig":{"emphasize":{},"callouts":{},"etoc":{"h2lb":3,"header":1,"maxdepth":3,"mindepth":1,"notoc":true},"github":{"url":"https://github.com/apache/incubator-hivemall/"},"spli
tter":{},"search":{},"downloadpdf":{"base":"https://github.com/apache/incubator-hivemall/docs/gitbook","label":"PDF","multilingual":false},"multipart":{},"localized-footer":{"filename":"FOOTER.md","hline":"true"},"lunr":{"maxIndexSize":1000000,"ignoreSpecialCharacters":false},"katex":{},"fontsettings":{"theme":"white","family":"sans","size":2,"font":"sans"},"highlight":{},"codeblock-filename":{},"sitemap":{"hostname":"http://hivemall.incubator.apache.org/"},"theme-api":{"languages":[],"split":false,"theme":"dark"},"sharing":{"facebook":true,"twitter":true,"google":false,"weibo":false,"instapaper":false,"vk":false,"all":["facebook","google","twitter","weibo","instapaper"]},"edit-link":{"label":"Edit","base":"https://github.com/apache/incubator-hivemall/tree/master/docs/gitbook"},"theme-default":{"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"showLevel":true},"anc
horjs":{"selector":"h1,h2,h3,*:not(.callout) > h4,h5"},"toggle-chapters":{},"expandable-chapters":{}},"theme":"default","pdf":{"pageNumbers":true,"fontSize":12,"fontFamily":"Arial","paperSize":"a4","chapterMark":"pagebreak","pageBreaksBefore":"/","margin":{"right":62,"left":62,"top":56,"bottom":56}},"structure":{"langs":"LANGS.md","readme":"README.md","glossary":"GLOSSARY.md","summary":"SUMMARY.md"},"variables":{},"title":"Hivemall User Manual","links":{"sidebar":{"<i class=\"fa fa-home\"></i> Home":"http://hivemall.incubator.apache.org/"}},"gitbook":"3.x.x","description":"User Manual for Apache Hivemall"},"file":{"path":"regression/e2006.md","mtime":"2017-12-11T08:48:01.140Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-06-06T09:01:20.330Z"},"basePath":"..","book":{"language":""}});
+ gitbook.page.hasChanged({"page":{"title":"E2006-tfidf Regression Tutorial","level":"8.2","depth":1,"next":{"title":"Data preparation","level":"8.2.1","depth":2,"path":"regression/e2006_dataset.md","ref":"regression/e2006_dataset.md","articles":[]},"previous":{"title":"Regression","level":"8.1","depth":1,"path":"regression/general.md","ref":"regression/general.md","articles":[]},"dir":"ltr"},"config":{"plugins":["theme-api","edit-link","github","splitter","sitemap","etoc","callouts","toggle-chapters","anchorjs","codeblock-filename","expandable-chapters","multipart","codeblock-filename","katex","emphasize","localized-footer"],"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"pluginsConfig":{"emphasize":{},"callouts":{},"etoc":{"h2lb":3,"header":1,"maxdepth":3,"mindepth":1,"notoc":true},"github":{"url":"https://github.com/apache/incubator-hivemall/"},"spli
tter":{},"search":{},"downloadpdf":{"base":"https://github.com/apache/incubator-hivemall/docs/gitbook","label":"PDF","multilingual":false},"multipart":{},"localized-footer":{"filename":"FOOTER.md","hline":"true"},"lunr":{"maxIndexSize":1000000,"ignoreSpecialCharacters":false},"katex":{},"fontsettings":{"theme":"white","family":"sans","size":2,"font":"sans"},"highlight":{},"codeblock-filename":{},"sitemap":{"hostname":"http://hivemall.incubator.apache.org/"},"theme-api":{"languages":[],"split":false,"theme":"dark"},"sharing":{"facebook":true,"twitter":true,"google":false,"weibo":false,"instapaper":false,"vk":false,"all":["facebook","google","twitter","weibo","instapaper"]},"edit-link":{"label":"Edit","base":"https://github.com/apache/incubator-hivemall/tree/master/docs/gitbook"},"theme-default":{"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"showLevel":true},"anc
horjs":{"selector":"h1,h2,h3,*:not(.callout) > h4,h5"},"toggle-chapters":{},"expandable-chapters":{}},"theme":"default","pdf":{"pageNumbers":true,"fontSize":12,"fontFamily":"Arial","paperSize":"a4","chapterMark":"pagebreak","pageBreaksBefore":"/","margin":{"right":62,"left":62,"top":56,"bottom":56}},"structure":{"langs":"LANGS.md","readme":"README.md","glossary":"GLOSSARY.md","summary":"SUMMARY.md"},"variables":{},"title":"Hivemall User Manual","links":{"sidebar":{"<i class=\"fa fa-home\"></i> Home":"http://hivemall.incubator.apache.org/"}},"gitbook":"3.x.x","description":"User Manual for Apache Hivemall"},"file":{"path":"regression/e2006.md","mtime":"2018-08-29T08:55:00.284Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-08-31T06:54:21.013Z"},"basePath":"..","book":{"language":""}});
});
</script>
</div>
@@ -2300,7 +2366,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
- <script src="https://cdnjs.cloudflare.com/ajax/libs/anchor-js/4.1.0/anchor.min.js"></script>
+ <script src="https://cdnjs.cloudflare.com/ajax/libs/anchor-js/4.1.1/anchor.min.js"></script>
http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/6c6a1b42/userguide/regression/e2006_arow.html
----------------------------------------------------------------------
diff --git a/userguide/regression/e2006_arow.html b/userguide/regression/e2006_arow.html
index 7de97ac..5f1f3cc 100644
--- a/userguide/regression/e2006_arow.html
+++ b/userguide/regression/e2006_arow.html
@@ -861,9 +861,9 @@
- <li class="chapter " data-level="5.1" data-path="../misc/prediction.html">
+ <li class="chapter " data-level="5.1" data-path="../supervised_learning/prediction.html">
- <a href="../misc/prediction.html">
+ <a href="../supervised_learning/prediction.html">
<b>5.1.</b>
@@ -876,6 +876,21 @@
</li>
+ <li class="chapter " data-level="5.2" data-path="../supervised_learning/tutorial.html">
+
+ <a href="../supervised_learning/tutorial.html">
+
+
+ <b>5.2.</b>
+
+ Step-by-Step Tutorial on Supervised Learning
+
+ </a>
+
+
+
+ </li>
+
@@ -1228,6 +1243,57 @@
</li>
+ <li class="chapter " data-level="6.8" data-path="../binaryclass/criteo.html">
+
+ <a href="../binaryclass/criteo.html">
+
+
+ <b>6.8.</b>
+
+ Criteo Tutorial
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="6.8.1" data-path="../binaryclass/criteo_dataset.html">
+
+ <a href="../binaryclass/criteo_dataset.html">
+
+
+ <b>6.8.1.</b>
+
+ Data preparation
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="6.8.2" data-path="../binaryclass/criteo_ffm.html">
+
+ <a href="../binaryclass/criteo_ffm.html">
+
+
+ <b>6.8.2.</b>
+
+ Field-Aware Factorization Machines
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
@@ -2509,7 +2575,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
<script>
var gitbook = gitbook || [];
gitbook.push(function() {
- gitbook.page.hasChanged({"page":{"title":"Passive Aggressive, AROW","level":"8.2.2","depth":2,"next":{"title":"KDDCup 2012 Track 2 CTR Prediction Tutorial","level":"8.3","depth":1,"path":"regression/kddcup12tr2.md","ref":"regression/kddcup12tr2.md","articles":[{"title":"Data preparation","level":"8.3.1","depth":2,"path":"regression/kddcup12tr2_dataset.md","ref":"regression/kddcup12tr2_dataset.md","articles":[]},{"title":"Logistic Regression, Passive Aggressive","level":"8.3.2","depth":2,"path":"regression/kddcup12tr2_lr.md","ref":"regression/kddcup12tr2_lr.md","articles":[]},{"title":"Logistic Regression with amplifier","level":"8.3.3","depth":2,"path":"regression/kddcup12tr2_lr_amplify.md","ref":"regression/kddcup12tr2_lr_amplify.md","articles":[]},{"title":"AdaGrad, AdaDelta","level":"8.3.4","depth":2,"path":"regression/kddcup12tr2_adagrad.md","ref":"regression/kddcup12tr2_adagrad.md","articles":[]}]},"previous":{"title":"Data preparation","level":"8.2.1","depth":2,"pa
th":"regression/e2006_dataset.md","ref":"regression/e2006_dataset.md","articles":[]},"dir":"ltr"},"config":{"plugins":["theme-api","edit-link","github","splitter","sitemap","etoc","callouts","toggle-chapters","anchorjs","codeblock-filename","expandable-chapters","multipart","codeblock-filename","katex","emphasize","localized-footer"],"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"pluginsConfig":{"emphasize":{},"callouts":{},"etoc":{"h2lb":3,"header":1,"maxdepth":3,"mindepth":1,"notoc":true},"github":{"url":"https://github.com/apache/incubator-hivemall/"},"splitter":{},"search":{},"downloadpdf":{"base":"https://github.com/apache/incubator-hivemall/docs/gitbook","label":"PDF","multilingual":false},"multipart":{},"localized-footer":{"filename":"FOOTER.md","hline":"true"},"lunr":{"maxIndexSize":1000000,"ignoreSpecialCharacters":false},"katex":{},"fontsettings":{"the
me":"white","family":"sans","size":2,"font":"sans"},"highlight":{},"codeblock-filename":{},"sitemap":{"hostname":"http://hivemall.incubator.apache.org/"},"theme-api":{"languages":[],"split":false,"theme":"dark"},"sharing":{"facebook":true,"twitter":true,"google":false,"weibo":false,"instapaper":false,"vk":false,"all":["facebook","google","twitter","weibo","instapaper"]},"edit-link":{"label":"Edit","base":"https://github.com/apache/incubator-hivemall/tree/master/docs/gitbook"},"theme-default":{"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"showLevel":true},"anchorjs":{"selector":"h1,h2,h3,*:not(.callout) > h4,h5"},"toggle-chapters":{},"expandable-chapters":{}},"theme":"default","pdf":{"pageNumbers":true,"fontSize":12,"fontFamily":"Arial","paperSize":"a4","chapterMark":"pagebreak","pageBreaksBefore":"/","margin":{"right":62,"left":62,"top":56,"bottom":56}},"struct
ure":{"langs":"LANGS.md","readme":"README.md","glossary":"GLOSSARY.md","summary":"SUMMARY.md"},"variables":{},"title":"Hivemall User Manual","links":{"sidebar":{"<i class=\"fa fa-home\"></i> Home":"http://hivemall.incubator.apache.org/"}},"gitbook":"3.x.x","description":"User Manual for Apache Hivemall"},"file":{"path":"regression/e2006_arow.md","mtime":"2017-12-11T08:48:01.141Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-06-06T09:01:20.330Z"},"basePath":"..","book":{"language":""}});
+ gitbook.page.hasChanged({"page":{"title":"Passive Aggressive, AROW","level":"8.2.2","depth":2,"next":{"title":"KDDCup 2012 Track 2 CTR Prediction Tutorial","level":"8.3","depth":1,"path":"regression/kddcup12tr2.md","ref":"regression/kddcup12tr2.md","articles":[{"title":"Data preparation","level":"8.3.1","depth":2,"path":"regression/kddcup12tr2_dataset.md","ref":"regression/kddcup12tr2_dataset.md","articles":[]},{"title":"Logistic Regression, Passive Aggressive","level":"8.3.2","depth":2,"path":"regression/kddcup12tr2_lr.md","ref":"regression/kddcup12tr2_lr.md","articles":[]},{"title":"Logistic Regression with amplifier","level":"8.3.3","depth":2,"path":"regression/kddcup12tr2_lr_amplify.md","ref":"regression/kddcup12tr2_lr_amplify.md","articles":[]},{"title":"AdaGrad, AdaDelta","level":"8.3.4","depth":2,"path":"regression/kddcup12tr2_adagrad.md","ref":"regression/kddcup12tr2_adagrad.md","articles":[]}]},"previous":{"title":"Data preparation","level":"8.2.1","depth":2,"pa
th":"regression/e2006_dataset.md","ref":"regression/e2006_dataset.md","articles":[]},"dir":"ltr"},"config":{"plugins":["theme-api","edit-link","github","splitter","sitemap","etoc","callouts","toggle-chapters","anchorjs","codeblock-filename","expandable-chapters","multipart","codeblock-filename","katex","emphasize","localized-footer"],"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"pluginsConfig":{"emphasize":{},"callouts":{},"etoc":{"h2lb":3,"header":1,"maxdepth":3,"mindepth":1,"notoc":true},"github":{"url":"https://github.com/apache/incubator-hivemall/"},"splitter":{},"search":{},"downloadpdf":{"base":"https://github.com/apache/incubator-hivemall/docs/gitbook","label":"PDF","multilingual":false},"multipart":{},"localized-footer":{"filename":"FOOTER.md","hline":"true"},"lunr":{"maxIndexSize":1000000,"ignoreSpecialCharacters":false},"katex":{},"fontsettings":{"the
me":"white","family":"sans","size":2,"font":"sans"},"highlight":{},"codeblock-filename":{},"sitemap":{"hostname":"http://hivemall.incubator.apache.org/"},"theme-api":{"languages":[],"split":false,"theme":"dark"},"sharing":{"facebook":true,"twitter":true,"google":false,"weibo":false,"instapaper":false,"vk":false,"all":["facebook","google","twitter","weibo","instapaper"]},"edit-link":{"label":"Edit","base":"https://github.com/apache/incubator-hivemall/tree/master/docs/gitbook"},"theme-default":{"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"showLevel":true},"anchorjs":{"selector":"h1,h2,h3,*:not(.callout) > h4,h5"},"toggle-chapters":{},"expandable-chapters":{}},"theme":"default","pdf":{"pageNumbers":true,"fontSize":12,"fontFamily":"Arial","paperSize":"a4","chapterMark":"pagebreak","pageBreaksBefore":"/","margin":{"right":62,"left":62,"top":56,"bottom":56}},"struct
ure":{"langs":"LANGS.md","readme":"README.md","glossary":"GLOSSARY.md","summary":"SUMMARY.md"},"variables":{},"title":"Hivemall User Manual","links":{"sidebar":{"<i class=\"fa fa-home\"></i> Home":"http://hivemall.incubator.apache.org/"}},"gitbook":"3.x.x","description":"User Manual for Apache Hivemall"},"file":{"path":"regression/e2006_arow.md","mtime":"2018-08-29T08:55:00.284Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-08-31T06:54:21.013Z"},"basePath":"..","book":{"language":""}});
});
</script>
</div>
@@ -2539,7 +2605,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
- <script src="https://cdnjs.cloudflare.com/ajax/libs/anchor-js/4.1.0/anchor.min.js"></script>
+ <script src="https://cdnjs.cloudflare.com/ajax/libs/anchor-js/4.1.1/anchor.min.js"></script>
http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/6c6a1b42/userguide/regression/e2006_dataset.html
----------------------------------------------------------------------
diff --git a/userguide/regression/e2006_dataset.html b/userguide/regression/e2006_dataset.html
index ab8a54a..96bc94e 100644
--- a/userguide/regression/e2006_dataset.html
+++ b/userguide/regression/e2006_dataset.html
@@ -861,9 +861,9 @@
- <li class="chapter " data-level="5.1" data-path="../misc/prediction.html">
+ <li class="chapter " data-level="5.1" data-path="../supervised_learning/prediction.html">
- <a href="../misc/prediction.html">
+ <a href="../supervised_learning/prediction.html">
<b>5.1.</b>
@@ -876,6 +876,21 @@
</li>
+ <li class="chapter " data-level="5.2" data-path="../supervised_learning/tutorial.html">
+
+ <a href="../supervised_learning/tutorial.html">
+
+
+ <b>5.2.</b>
+
+ Step-by-Step Tutorial on Supervised Learning
+
+ </a>
+
+
+
+ </li>
+
@@ -1228,6 +1243,57 @@
</li>
+ <li class="chapter " data-level="6.8" data-path="../binaryclass/criteo.html">
+
+ <a href="../binaryclass/criteo.html">
+
+
+ <b>6.8.</b>
+
+ Criteo Tutorial
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="6.8.1" data-path="../binaryclass/criteo_dataset.html">
+
+ <a href="../binaryclass/criteo_dataset.html">
+
+
+ <b>6.8.1.</b>
+
+ Data preparation
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="6.8.2" data-path="../binaryclass/criteo_ffm.html">
+
+ <a href="../binaryclass/criteo_ffm.html">
+
+
+ <b>6.8.2.</b>
+
+ Field-Aware Factorization Machines
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
@@ -2330,7 +2396,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
<script>
var gitbook = gitbook || [];
gitbook.push(function() {
- gitbook.page.hasChanged({"page":{"title":"Data preparation","level":"8.2.1","depth":2,"next":{"title":"Passive Aggressive, AROW","level":"8.2.2","depth":2,"path":"regression/e2006_arow.md","ref":"regression/e2006_arow.md","articles":[]},"previous":{"title":"E2006-tfidf Regression Tutorial","level":"8.2","depth":1,"path":"regression/e2006.md","ref":"regression/e2006.md","articles":[{"title":"Data preparation","level":"8.2.1","depth":2,"path":"regression/e2006_dataset.md","ref":"regression/e2006_dataset.md","articles":[]},{"title":"Passive Aggressive, AROW","level":"8.2.2","depth":2,"path":"regression/e2006_arow.md","ref":"regression/e2006_arow.md","articles":[]}]},"dir":"ltr"},"config":{"plugins":["theme-api","edit-link","github","splitter","sitemap","etoc","callouts","toggle-chapters","anchorjs","codeblock-filename","expandable-chapters","multipart","codeblock-filename","katex","emphasize","localized-footer"],"styles":{"website":"styles/website.css","pdf":"styles/pdf.css
","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"pluginsConfig":{"emphasize":{},"callouts":{},"etoc":{"h2lb":3,"header":1,"maxdepth":3,"mindepth":1,"notoc":true},"github":{"url":"https://github.com/apache/incubator-hivemall/"},"splitter":{},"search":{},"downloadpdf":{"base":"https://github.com/apache/incubator-hivemall/docs/gitbook","label":"PDF","multilingual":false},"multipart":{},"localized-footer":{"filename":"FOOTER.md","hline":"true"},"lunr":{"maxIndexSize":1000000,"ignoreSpecialCharacters":false},"katex":{},"fontsettings":{"theme":"white","family":"sans","size":2,"font":"sans"},"highlight":{},"codeblock-filename":{},"sitemap":{"hostname":"http://hivemall.incubator.apache.org/"},"theme-api":{"languages":[],"split":false,"theme":"dark"},"sharing":{"facebook":true,"twitter":true,"google":false,"weibo":false,"instapaper":false,"vk":false,"all":["facebook","google","twitter","weibo","instapaper"]},"edit-link":{"label":"Edi
t","base":"https://github.com/apache/incubator-hivemall/tree/master/docs/gitbook"},"theme-default":{"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"showLevel":true},"anchorjs":{"selector":"h1,h2,h3,*:not(.callout) > h4,h5"},"toggle-chapters":{},"expandable-chapters":{}},"theme":"default","pdf":{"pageNumbers":true,"fontSize":12,"fontFamily":"Arial","paperSize":"a4","chapterMark":"pagebreak","pageBreaksBefore":"/","margin":{"right":62,"left":62,"top":56,"bottom":56}},"structure":{"langs":"LANGS.md","readme":"README.md","glossary":"GLOSSARY.md","summary":"SUMMARY.md"},"variables":{},"title":"Hivemall User Manual","links":{"sidebar":{"<i class=\"fa fa-home\"></i> Home":"http://hivemall.incubator.apache.org/"}},"gitbook":"3.x.x","description":"User Manual for Apache Hivemall"},"file":{"path":"regression/e2006_dataset.md","mtime":"2017-12-11T08:48:01.141Z","type":"mark
down"},"gitbook":{"version":"3.2.3","time":"2018-06-06T09:01:20.330Z"},"basePath":"..","book":{"language":""}});
+ gitbook.page.hasChanged({"page":{"title":"Data preparation","level":"8.2.1","depth":2,"next":{"title":"Passive Aggressive, AROW","level":"8.2.2","depth":2,"path":"regression/e2006_arow.md","ref":"regression/e2006_arow.md","articles":[]},"previous":{"title":"E2006-tfidf Regression Tutorial","level":"8.2","depth":1,"path":"regression/e2006.md","ref":"regression/e2006.md","articles":[{"title":"Data preparation","level":"8.2.1","depth":2,"path":"regression/e2006_dataset.md","ref":"regression/e2006_dataset.md","articles":[]},{"title":"Passive Aggressive, AROW","level":"8.2.2","depth":2,"path":"regression/e2006_arow.md","ref":"regression/e2006_arow.md","articles":[]}]},"dir":"ltr"},"config":{"plugins":["theme-api","edit-link","github","splitter","sitemap","etoc","callouts","toggle-chapters","anchorjs","codeblock-filename","expandable-chapters","multipart","codeblock-filename","katex","emphasize","localized-footer"],"styles":{"website":"styles/website.css","pdf":"styles/pdf.css
","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"pluginsConfig":{"emphasize":{},"callouts":{},"etoc":{"h2lb":3,"header":1,"maxdepth":3,"mindepth":1,"notoc":true},"github":{"url":"https://github.com/apache/incubator-hivemall/"},"splitter":{},"search":{},"downloadpdf":{"base":"https://github.com/apache/incubator-hivemall/docs/gitbook","label":"PDF","multilingual":false},"multipart":{},"localized-footer":{"filename":"FOOTER.md","hline":"true"},"lunr":{"maxIndexSize":1000000,"ignoreSpecialCharacters":false},"katex":{},"fontsettings":{"theme":"white","family":"sans","size":2,"font":"sans"},"highlight":{},"codeblock-filename":{},"sitemap":{"hostname":"http://hivemall.incubator.apache.org/"},"theme-api":{"languages":[],"split":false,"theme":"dark"},"sharing":{"facebook":true,"twitter":true,"google":false,"weibo":false,"instapaper":false,"vk":false,"all":["facebook","google","twitter","weibo","instapaper"]},"edit-link":{"label":"Edi
t","base":"https://github.com/apache/incubator-hivemall/tree/master/docs/gitbook"},"theme-default":{"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"showLevel":true},"anchorjs":{"selector":"h1,h2,h3,*:not(.callout) > h4,h5"},"toggle-chapters":{},"expandable-chapters":{}},"theme":"default","pdf":{"pageNumbers":true,"fontSize":12,"fontFamily":"Arial","paperSize":"a4","chapterMark":"pagebreak","pageBreaksBefore":"/","margin":{"right":62,"left":62,"top":56,"bottom":56}},"structure":{"langs":"LANGS.md","readme":"README.md","glossary":"GLOSSARY.md","summary":"SUMMARY.md"},"variables":{},"title":"Hivemall User Manual","links":{"sidebar":{"<i class=\"fa fa-home\"></i> Home":"http://hivemall.incubator.apache.org/"}},"gitbook":"3.x.x","description":"User Manual for Apache Hivemall"},"file":{"path":"regression/e2006_dataset.md","mtime":"2018-08-29T08:55:00.284Z","type":"mark
down"},"gitbook":{"version":"3.2.3","time":"2018-08-31T06:54:21.013Z"},"basePath":"..","book":{"language":""}});
});
</script>
</div>
@@ -2360,7 +2426,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
- <script src="https://cdnjs.cloudflare.com/ajax/libs/anchor-js/4.1.0/anchor.min.js"></script>
+ <script src="https://cdnjs.cloudflare.com/ajax/libs/anchor-js/4.1.1/anchor.min.js"></script>
http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/6c6a1b42/userguide/regression/general.html
----------------------------------------------------------------------
diff --git a/userguide/regression/general.html b/userguide/regression/general.html
index 12a96e9..5bfaf46 100644
--- a/userguide/regression/general.html
+++ b/userguide/regression/general.html
@@ -861,9 +861,9 @@
- <li class="chapter " data-level="5.1" data-path="../misc/prediction.html">
+ <li class="chapter " data-level="5.1" data-path="../supervised_learning/prediction.html">
- <a href="../misc/prediction.html">
+ <a href="../supervised_learning/prediction.html">
<b>5.1.</b>
@@ -876,6 +876,21 @@
</li>
+ <li class="chapter " data-level="5.2" data-path="../supervised_learning/tutorial.html">
+
+ <a href="../supervised_learning/tutorial.html">
+
+
+ <b>5.2.</b>
+
+ Step-by-Step Tutorial on Supervised Learning
+
+ </a>
+
+
+
+ </li>
+
@@ -1228,6 +1243,57 @@
</li>
+ <li class="chapter " data-level="6.8" data-path="../binaryclass/criteo.html">
+
+ <a href="../binaryclass/criteo.html">
+
+
+ <b>6.8.</b>
+
+ Criteo Tutorial
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="6.8.1" data-path="../binaryclass/criteo_dataset.html">
+
+ <a href="../binaryclass/criteo_dataset.html">
+
+
+ <b>6.8.1.</b>
+
+ Data preparation
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="6.8.2" data-path="../binaryclass/criteo_ffm.html">
+
+ <a href="../binaryclass/criteo_ffm.html">
+
+
+ <b>6.8.2.</b>
+
+ Field-Aware Factorization Machines
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
@@ -2322,7 +2388,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
<script>
var gitbook = gitbook || [];
gitbook.push(function() {
- gitbook.page.hasChanged({"page":{"title":"Regression","level":"8.1","depth":1,"next":{"title":"E2006-tfidf Regression Tutorial","level":"8.2","depth":1,"path":"regression/e2006.md","ref":"regression/e2006.md","articles":[{"title":"Data preparation","level":"8.2.1","depth":2,"path":"regression/e2006_dataset.md","ref":"regression/e2006_dataset.md","articles":[]},{"title":"Passive Aggressive, AROW","level":"8.2.2","depth":2,"path":"regression/e2006_arow.md","ref":"regression/e2006_arow.md","articles":[]}]},"previous":{"title":"Random Forest","level":"7.2.3","depth":2,"path":"multiclass/iris_randomforest.md","ref":"multiclass/iris_randomforest.md","articles":[]},"dir":"ltr"},"config":{"plugins":["theme-api","edit-link","github","splitter","sitemap","etoc","callouts","toggle-chapters","anchorjs","codeblock-filename","expandable-chapters","multipart","codeblock-filename","katex","emphasize","localized-footer"],"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","ep
ub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"pluginsConfig":{"emphasize":{},"callouts":{},"etoc":{"h2lb":3,"header":1,"maxdepth":3,"mindepth":1,"notoc":true},"github":{"url":"https://github.com/apache/incubator-hivemall/"},"splitter":{},"search":{},"downloadpdf":{"base":"https://github.com/apache/incubator-hivemall/docs/gitbook","label":"PDF","multilingual":false},"multipart":{},"localized-footer":{"filename":"FOOTER.md","hline":"true"},"lunr":{"maxIndexSize":1000000,"ignoreSpecialCharacters":false},"katex":{},"fontsettings":{"theme":"white","family":"sans","size":2,"font":"sans"},"highlight":{},"codeblock-filename":{},"sitemap":{"hostname":"http://hivemall.incubator.apache.org/"},"theme-api":{"languages":[],"split":false,"theme":"dark"},"sharing":{"facebook":true,"twitter":true,"google":false,"weibo":false,"instapaper":false,"vk":false,"all":["facebook","google","twitter","weibo","instapaper"]},"edit-link":{"label":"Edit","b
ase":"https://github.com/apache/incubator-hivemall/tree/master/docs/gitbook"},"theme-default":{"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"showLevel":true},"anchorjs":{"selector":"h1,h2,h3,*:not(.callout) > h4,h5"},"toggle-chapters":{},"expandable-chapters":{}},"theme":"default","pdf":{"pageNumbers":true,"fontSize":12,"fontFamily":"Arial","paperSize":"a4","chapterMark":"pagebreak","pageBreaksBefore":"/","margin":{"right":62,"left":62,"top":56,"bottom":56}},"structure":{"langs":"LANGS.md","readme":"README.md","glossary":"GLOSSARY.md","summary":"SUMMARY.md"},"variables":{},"title":"Hivemall User Manual","links":{"sidebar":{"<i class=\"fa fa-home\"></i> Home":"http://hivemall.incubator.apache.org/"}},"gitbook":"3.x.x","description":"User Manual for Apache Hivemall"},"file":{"path":"regression/general.md","mtime":"2017-12-11T08:48:01.141Z","type":"markdown"},"git
book":{"version":"3.2.3","time":"2018-06-06T09:01:20.330Z"},"basePath":"..","book":{"language":""}});
+ gitbook.page.hasChanged({"page":{"title":"Regression","level":"8.1","depth":1,"next":{"title":"E2006-tfidf Regression Tutorial","level":"8.2","depth":1,"path":"regression/e2006.md","ref":"regression/e2006.md","articles":[{"title":"Data preparation","level":"8.2.1","depth":2,"path":"regression/e2006_dataset.md","ref":"regression/e2006_dataset.md","articles":[]},{"title":"Passive Aggressive, AROW","level":"8.2.2","depth":2,"path":"regression/e2006_arow.md","ref":"regression/e2006_arow.md","articles":[]}]},"previous":{"title":"Random Forest","level":"7.2.3","depth":2,"path":"multiclass/iris_randomforest.md","ref":"multiclass/iris_randomforest.md","articles":[]},"dir":"ltr"},"config":{"plugins":["theme-api","edit-link","github","splitter","sitemap","etoc","callouts","toggle-chapters","anchorjs","codeblock-filename","expandable-chapters","multipart","codeblock-filename","katex","emphasize","localized-footer"],"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","ep
ub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"pluginsConfig":{"emphasize":{},"callouts":{},"etoc":{"h2lb":3,"header":1,"maxdepth":3,"mindepth":1,"notoc":true},"github":{"url":"https://github.com/apache/incubator-hivemall/"},"splitter":{},"search":{},"downloadpdf":{"base":"https://github.com/apache/incubator-hivemall/docs/gitbook","label":"PDF","multilingual":false},"multipart":{},"localized-footer":{"filename":"FOOTER.md","hline":"true"},"lunr":{"maxIndexSize":1000000,"ignoreSpecialCharacters":false},"katex":{},"fontsettings":{"theme":"white","family":"sans","size":2,"font":"sans"},"highlight":{},"codeblock-filename":{},"sitemap":{"hostname":"http://hivemall.incubator.apache.org/"},"theme-api":{"languages":[],"split":false,"theme":"dark"},"sharing":{"facebook":true,"twitter":true,"google":false,"weibo":false,"instapaper":false,"vk":false,"all":["facebook","google","twitter","weibo","instapaper"]},"edit-link":{"label":"Edit","b
ase":"https://github.com/apache/incubator-hivemall/tree/master/docs/gitbook"},"theme-default":{"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"showLevel":true},"anchorjs":{"selector":"h1,h2,h3,*:not(.callout) > h4,h5"},"toggle-chapters":{},"expandable-chapters":{}},"theme":"default","pdf":{"pageNumbers":true,"fontSize":12,"fontFamily":"Arial","paperSize":"a4","chapterMark":"pagebreak","pageBreaksBefore":"/","margin":{"right":62,"left":62,"top":56,"bottom":56}},"structure":{"langs":"LANGS.md","readme":"README.md","glossary":"GLOSSARY.md","summary":"SUMMARY.md"},"variables":{},"title":"Hivemall User Manual","links":{"sidebar":{"<i class=\"fa fa-home\"></i> Home":"http://hivemall.incubator.apache.org/"}},"gitbook":"3.x.x","description":"User Manual for Apache Hivemall"},"file":{"path":"regression/general.md","mtime":"2018-08-29T08:55:00.284Z","type":"markdown"},"git
book":{"version":"3.2.3","time":"2018-08-31T06:54:21.013Z"},"basePath":"..","book":{"language":""}});
});
</script>
</div>
@@ -2352,7 +2418,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
- <script src="https://cdnjs.cloudflare.com/ajax/libs/anchor-js/4.1.0/anchor.min.js"></script>
+ <script src="https://cdnjs.cloudflare.com/ajax/libs/anchor-js/4.1.1/anchor.min.js"></script>
http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/6c6a1b42/userguide/regression/kddcup12tr2.html
----------------------------------------------------------------------
diff --git a/userguide/regression/kddcup12tr2.html b/userguide/regression/kddcup12tr2.html
index 30a054f..18a4e01 100644
--- a/userguide/regression/kddcup12tr2.html
+++ b/userguide/regression/kddcup12tr2.html
@@ -861,9 +861,9 @@
- <li class="chapter " data-level="5.1" data-path="../misc/prediction.html">
+ <li class="chapter " data-level="5.1" data-path="../supervised_learning/prediction.html">
- <a href="../misc/prediction.html">
+ <a href="../supervised_learning/prediction.html">
<b>5.1.</b>
@@ -876,6 +876,21 @@
</li>
+ <li class="chapter " data-level="5.2" data-path="../supervised_learning/tutorial.html">
+
+ <a href="../supervised_learning/tutorial.html">
+
+
+ <b>5.2.</b>
+
+ Step-by-Step Tutorial on Supervised Learning
+
+ </a>
+
+
+
+ </li>
+
@@ -1228,6 +1243,57 @@
</li>
+ <li class="chapter " data-level="6.8" data-path="../binaryclass/criteo.html">
+
+ <a href="../binaryclass/criteo.html">
+
+
+ <b>6.8.</b>
+
+ Criteo Tutorial
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="6.8.1" data-path="../binaryclass/criteo_dataset.html">
+
+ <a href="../binaryclass/criteo_dataset.html">
+
+
+ <b>6.8.1.</b>
+
+ Data preparation
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="6.8.2" data-path="../binaryclass/criteo_ffm.html">
+
+ <a href="../binaryclass/criteo_ffm.html">
+
+
+ <b>6.8.2.</b>
+
+ Field-Aware Factorization Machines
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
@@ -2270,7 +2336,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
<script>
var gitbook = gitbook || [];
gitbook.push(function() {
- gitbook.page.hasChanged({"page":{"title":"KDDCup 2012 Track 2 CTR Prediction Tutorial","level":"8.3","depth":1,"next":{"title":"Data preparation","level":"8.3.1","depth":2,"path":"regression/kddcup12tr2_dataset.md","ref":"regression/kddcup12tr2_dataset.md","articles":[]},"previous":{"title":"Passive Aggressive, AROW","level":"8.2.2","depth":2,"path":"regression/e2006_arow.md","ref":"regression/e2006_arow.md","articles":[]},"dir":"ltr"},"config":{"plugins":["theme-api","edit-link","github","splitter","sitemap","etoc","callouts","toggle-chapters","anchorjs","codeblock-filename","expandable-chapters","multipart","codeblock-filename","katex","emphasize","localized-footer"],"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"pluginsConfig":{"emphasize":{},"callouts":{},"etoc":{"h2lb":3,"header":1,"maxdepth":3,"mindepth":1,"notoc":true},"github":{"url":"https:/
/github.com/apache/incubator-hivemall/"},"splitter":{},"search":{},"downloadpdf":{"base":"https://github.com/apache/incubator-hivemall/docs/gitbook","label":"PDF","multilingual":false},"multipart":{},"localized-footer":{"filename":"FOOTER.md","hline":"true"},"lunr":{"maxIndexSize":1000000,"ignoreSpecialCharacters":false},"katex":{},"fontsettings":{"theme":"white","family":"sans","size":2,"font":"sans"},"highlight":{},"codeblock-filename":{},"sitemap":{"hostname":"http://hivemall.incubator.apache.org/"},"theme-api":{"languages":[],"split":false,"theme":"dark"},"sharing":{"facebook":true,"twitter":true,"google":false,"weibo":false,"instapaper":false,"vk":false,"all":["facebook","google","twitter","weibo","instapaper"]},"edit-link":{"label":"Edit","base":"https://github.com/apache/incubator-hivemall/tree/master/docs/gitbook"},"theme-default":{"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","pri
nt":"styles/print.css"},"showLevel":true},"anchorjs":{"selector":"h1,h2,h3,*:not(.callout) > h4,h5"},"toggle-chapters":{},"expandable-chapters":{}},"theme":"default","pdf":{"pageNumbers":true,"fontSize":12,"fontFamily":"Arial","paperSize":"a4","chapterMark":"pagebreak","pageBreaksBefore":"/","margin":{"right":62,"left":62,"top":56,"bottom":56}},"structure":{"langs":"LANGS.md","readme":"README.md","glossary":"GLOSSARY.md","summary":"SUMMARY.md"},"variables":{},"title":"Hivemall User Manual","links":{"sidebar":{"<i class=\"fa fa-home\"></i> Home":"http://hivemall.incubator.apache.org/"}},"gitbook":"3.x.x","description":"User Manual for Apache Hivemall"},"file":{"path":"regression/kddcup12tr2.md","mtime":"2017-12-11T08:48:01.141Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-06-06T09:01:20.330Z"},"basePath":"..","book":{"language":""}});
+ gitbook.page.hasChanged({"page":{"title":"KDDCup 2012 Track 2 CTR Prediction Tutorial","level":"8.3","depth":1,"next":{"title":"Data preparation","level":"8.3.1","depth":2,"path":"regression/kddcup12tr2_dataset.md","ref":"regression/kddcup12tr2_dataset.md","articles":[]},"previous":{"title":"Passive Aggressive, AROW","level":"8.2.2","depth":2,"path":"regression/e2006_arow.md","ref":"regression/e2006_arow.md","articles":[]},"dir":"ltr"},"config":{"plugins":["theme-api","edit-link","github","splitter","sitemap","etoc","callouts","toggle-chapters","anchorjs","codeblock-filename","expandable-chapters","multipart","codeblock-filename","katex","emphasize","localized-footer"],"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"pluginsConfig":{"emphasize":{},"callouts":{},"etoc":{"h2lb":3,"header":1,"maxdepth":3,"mindepth":1,"notoc":true},"github":{"url":"https:/
/github.com/apache/incubator-hivemall/"},"splitter":{},"search":{},"downloadpdf":{"base":"https://github.com/apache/incubator-hivemall/docs/gitbook","label":"PDF","multilingual":false},"multipart":{},"localized-footer":{"filename":"FOOTER.md","hline":"true"},"lunr":{"maxIndexSize":1000000,"ignoreSpecialCharacters":false},"katex":{},"fontsettings":{"theme":"white","family":"sans","size":2,"font":"sans"},"highlight":{},"codeblock-filename":{},"sitemap":{"hostname":"http://hivemall.incubator.apache.org/"},"theme-api":{"languages":[],"split":false,"theme":"dark"},"sharing":{"facebook":true,"twitter":true,"google":false,"weibo":false,"instapaper":false,"vk":false,"all":["facebook","google","twitter","weibo","instapaper"]},"edit-link":{"label":"Edit","base":"https://github.com/apache/incubator-hivemall/tree/master/docs/gitbook"},"theme-default":{"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","pri
nt":"styles/print.css"},"showLevel":true},"anchorjs":{"selector":"h1,h2,h3,*:not(.callout) > h4,h5"},"toggle-chapters":{},"expandable-chapters":{}},"theme":"default","pdf":{"pageNumbers":true,"fontSize":12,"fontFamily":"Arial","paperSize":"a4","chapterMark":"pagebreak","pageBreaksBefore":"/","margin":{"right":62,"left":62,"top":56,"bottom":56}},"structure":{"langs":"LANGS.md","readme":"README.md","glossary":"GLOSSARY.md","summary":"SUMMARY.md"},"variables":{},"title":"Hivemall User Manual","links":{"sidebar":{"<i class=\"fa fa-home\"></i> Home":"http://hivemall.incubator.apache.org/"}},"gitbook":"3.x.x","description":"User Manual for Apache Hivemall"},"file":{"path":"regression/kddcup12tr2.md","mtime":"2018-08-29T08:55:00.284Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-08-31T06:54:21.013Z"},"basePath":"..","book":{"language":""}});
});
</script>
</div>
@@ -2300,7 +2366,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
- <script src="https://cdnjs.cloudflare.com/ajax/libs/anchor-js/4.1.0/anchor.min.js"></script>
+ <script src="https://cdnjs.cloudflare.com/ajax/libs/anchor-js/4.1.1/anchor.min.js"></script>
http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/6c6a1b42/userguide/regression/kddcup12tr2_adagrad.html
----------------------------------------------------------------------
diff --git a/userguide/regression/kddcup12tr2_adagrad.html b/userguide/regression/kddcup12tr2_adagrad.html
index 150811d..5270b12 100644
--- a/userguide/regression/kddcup12tr2_adagrad.html
+++ b/userguide/regression/kddcup12tr2_adagrad.html
@@ -861,9 +861,9 @@
- <li class="chapter " data-level="5.1" data-path="../misc/prediction.html">
+ <li class="chapter " data-level="5.1" data-path="../supervised_learning/prediction.html">
- <a href="../misc/prediction.html">
+ <a href="../supervised_learning/prediction.html">
<b>5.1.</b>
@@ -876,6 +876,21 @@
</li>
+ <li class="chapter " data-level="5.2" data-path="../supervised_learning/tutorial.html">
+
+ <a href="../supervised_learning/tutorial.html">
+
+
+ <b>5.2.</b>
+
+ Step-by-Step Tutorial on Supervised Learning
+
+ </a>
+
+
+
+ </li>
+
@@ -1228,6 +1243,57 @@
</li>
+ <li class="chapter " data-level="6.8" data-path="../binaryclass/criteo.html">
+
+ <a href="../binaryclass/criteo.html">
+
+
+ <b>6.8.</b>
+
+ Criteo Tutorial
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="6.8.1" data-path="../binaryclass/criteo_dataset.html">
+
+ <a href="../binaryclass/criteo_dataset.html">
+
+
+ <b>6.8.1.</b>
+
+ Data preparation
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="6.8.2" data-path="../binaryclass/criteo_ffm.html">
+
+ <a href="../binaryclass/criteo_ffm.html">
+
+
+ <b>6.8.2.</b>
+
+ Field-Aware Factorization Machines
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
@@ -2370,7 +2436,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
<script>
var gitbook = gitbook || [];
gitbook.push(function() {
- gitbook.page.hasChanged({"page":{"title":"AdaGrad, AdaDelta","level":"8.3.4","depth":2,"next":{"title":"Collaborative Filtering","level":"9.1","depth":1,"path":"recommend/cf.md","ref":"recommend/cf.md","articles":[{"title":"Item-based collaborative filtering","level":"9.1.1","depth":2,"path":"recommend/item_based_cf.md","ref":"recommend/item_based_cf.md","articles":[]}]},"previous":{"title":"Logistic Regression with amplifier","level":"8.3.3","depth":2,"path":"regression/kddcup12tr2_lr_amplify.md","ref":"regression/kddcup12tr2_lr_amplify.md","articles":[]},"dir":"ltr"},"config":{"plugins":["theme-api","edit-link","github","splitter","sitemap","etoc","callouts","toggle-chapters","anchorjs","codeblock-filename","expandable-chapters","multipart","codeblock-filename","katex","emphasize","localized-footer"],"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"p
luginsConfig":{"emphasize":{},"callouts":{},"etoc":{"h2lb":3,"header":1,"maxdepth":3,"mindepth":1,"notoc":true},"github":{"url":"https://github.com/apache/incubator-hivemall/"},"splitter":{},"search":{},"downloadpdf":{"base":"https://github.com/apache/incubator-hivemall/docs/gitbook","label":"PDF","multilingual":false},"multipart":{},"localized-footer":{"filename":"FOOTER.md","hline":"true"},"lunr":{"maxIndexSize":1000000,"ignoreSpecialCharacters":false},"katex":{},"fontsettings":{"theme":"white","family":"sans","size":2,"font":"sans"},"highlight":{},"codeblock-filename":{},"sitemap":{"hostname":"http://hivemall.incubator.apache.org/"},"theme-api":{"languages":[],"split":false,"theme":"dark"},"sharing":{"facebook":true,"twitter":true,"google":false,"weibo":false,"instapaper":false,"vk":false,"all":["facebook","google","twitter","weibo","instapaper"]},"edit-link":{"label":"Edit","base":"https://github.com/apache/incubator-hivemall/tree/master/docs/gitbook"},"theme-default":{"styles":
{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"showLevel":true},"anchorjs":{"selector":"h1,h2,h3,*:not(.callout) > h4,h5"},"toggle-chapters":{},"expandable-chapters":{}},"theme":"default","pdf":{"pageNumbers":true,"fontSize":12,"fontFamily":"Arial","paperSize":"a4","chapterMark":"pagebreak","pageBreaksBefore":"/","margin":{"right":62,"left":62,"top":56,"bottom":56}},"structure":{"langs":"LANGS.md","readme":"README.md","glossary":"GLOSSARY.md","summary":"SUMMARY.md"},"variables":{},"title":"Hivemall User Manual","links":{"sidebar":{"<i class=\"fa fa-home\"></i> Home":"http://hivemall.incubator.apache.org/"}},"gitbook":"3.x.x","description":"User Manual for Apache Hivemall"},"file":{"path":"regression/kddcup12tr2_adagrad.md","mtime":"2017-12-11T08:48:01.141Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-06-06T09:01:20.330Z"},"basePath":"..","book":{"languag
e":""}});
+ gitbook.page.hasChanged({"page":{"title":"AdaGrad, AdaDelta","level":"8.3.4","depth":2,"next":{"title":"Collaborative Filtering","level":"9.1","depth":1,"path":"recommend/cf.md","ref":"recommend/cf.md","articles":[{"title":"Item-based collaborative filtering","level":"9.1.1","depth":2,"path":"recommend/item_based_cf.md","ref":"recommend/item_based_cf.md","articles":[]}]},"previous":{"title":"Logistic Regression with amplifier","level":"8.3.3","depth":2,"path":"regression/kddcup12tr2_lr_amplify.md","ref":"regression/kddcup12tr2_lr_amplify.md","articles":[]},"dir":"ltr"},"config":{"plugins":["theme-api","edit-link","github","splitter","sitemap","etoc","callouts","toggle-chapters","anchorjs","codeblock-filename","expandable-chapters","multipart","codeblock-filename","katex","emphasize","localized-footer"],"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"p
luginsConfig":{"emphasize":{},"callouts":{},"etoc":{"h2lb":3,"header":1,"maxdepth":3,"mindepth":1,"notoc":true},"github":{"url":"https://github.com/apache/incubator-hivemall/"},"splitter":{},"search":{},"downloadpdf":{"base":"https://github.com/apache/incubator-hivemall/docs/gitbook","label":"PDF","multilingual":false},"multipart":{},"localized-footer":{"filename":"FOOTER.md","hline":"true"},"lunr":{"maxIndexSize":1000000,"ignoreSpecialCharacters":false},"katex":{},"fontsettings":{"theme":"white","family":"sans","size":2,"font":"sans"},"highlight":{},"codeblock-filename":{},"sitemap":{"hostname":"http://hivemall.incubator.apache.org/"},"theme-api":{"languages":[],"split":false,"theme":"dark"},"sharing":{"facebook":true,"twitter":true,"google":false,"weibo":false,"instapaper":false,"vk":false,"all":["facebook","google","twitter","weibo","instapaper"]},"edit-link":{"label":"Edit","base":"https://github.com/apache/incubator-hivemall/tree/master/docs/gitbook"},"theme-default":{"styles":
{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"showLevel":true},"anchorjs":{"selector":"h1,h2,h3,*:not(.callout) > h4,h5"},"toggle-chapters":{},"expandable-chapters":{}},"theme":"default","pdf":{"pageNumbers":true,"fontSize":12,"fontFamily":"Arial","paperSize":"a4","chapterMark":"pagebreak","pageBreaksBefore":"/","margin":{"right":62,"left":62,"top":56,"bottom":56}},"structure":{"langs":"LANGS.md","readme":"README.md","glossary":"GLOSSARY.md","summary":"SUMMARY.md"},"variables":{},"title":"Hivemall User Manual","links":{"sidebar":{"<i class=\"fa fa-home\"></i> Home":"http://hivemall.incubator.apache.org/"}},"gitbook":"3.x.x","description":"User Manual for Apache Hivemall"},"file":{"path":"regression/kddcup12tr2_adagrad.md","mtime":"2018-08-29T08:55:00.285Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-08-31T06:54:21.013Z"},"basePath":"..","book":{"languag
e":""}});
});
</script>
</div>
@@ -2400,7 +2466,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
- <script src="https://cdnjs.cloudflare.com/ajax/libs/anchor-js/4.1.0/anchor.min.js"></script>
+ <script src="https://cdnjs.cloudflare.com/ajax/libs/anchor-js/4.1.1/anchor.min.js"></script>
http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/6c6a1b42/userguide/regression/kddcup12tr2_dataset.html
----------------------------------------------------------------------
diff --git a/userguide/regression/kddcup12tr2_dataset.html b/userguide/regression/kddcup12tr2_dataset.html
index 5b4e8d5..6b48153 100644
--- a/userguide/regression/kddcup12tr2_dataset.html
+++ b/userguide/regression/kddcup12tr2_dataset.html
@@ -861,9 +861,9 @@
- <li class="chapter " data-level="5.1" data-path="../misc/prediction.html">
+ <li class="chapter " data-level="5.1" data-path="../supervised_learning/prediction.html">
- <a href="../misc/prediction.html">
+ <a href="../supervised_learning/prediction.html">
<b>5.1.</b>
@@ -876,6 +876,21 @@
</li>
+ <li class="chapter " data-level="5.2" data-path="../supervised_learning/tutorial.html">
+
+ <a href="../supervised_learning/tutorial.html">
+
+
+ <b>5.2.</b>
+
+ Step-by-Step Tutorial on Supervised Learning
+
+ </a>
+
+
+
+ </li>
+
@@ -1228,6 +1243,57 @@
</li>
+ <li class="chapter " data-level="6.8" data-path="../binaryclass/criteo.html">
+
+ <a href="../binaryclass/criteo.html">
+
+
+ <b>6.8.</b>
+
+ Criteo Tutorial
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="6.8.1" data-path="../binaryclass/criteo_dataset.html">
+
+ <a href="../binaryclass/criteo_dataset.html">
+
+
+ <b>6.8.1.</b>
+
+ Data preparation
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="6.8.2" data-path="../binaryclass/criteo_ffm.html">
+
+ <a href="../binaryclass/criteo_ffm.html">
+
+
+ <b>6.8.2.</b>
+
+ Field-Aware Factorization Machines
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
@@ -2519,7 +2585,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
<script>
var gitbook = gitbook || [];
gitbook.push(function() {
- gitbook.page.hasChanged({"page":{"title":"Data preparation","level":"8.3.1","depth":2,"next":{"title":"Logistic Regression, Passive Aggressive","level":"8.3.2","depth":2,"path":"regression/kddcup12tr2_lr.md","ref":"regression/kddcup12tr2_lr.md","articles":[]},"previous":{"title":"KDDCup 2012 Track 2 CTR Prediction Tutorial","level":"8.3","depth":1,"path":"regression/kddcup12tr2.md","ref":"regression/kddcup12tr2.md","articles":[{"title":"Data preparation","level":"8.3.1","depth":2,"path":"regression/kddcup12tr2_dataset.md","ref":"regression/kddcup12tr2_dataset.md","articles":[]},{"title":"Logistic Regression, Passive Aggressive","level":"8.3.2","depth":2,"path":"regression/kddcup12tr2_lr.md","ref":"regression/kddcup12tr2_lr.md","articles":[]},{"title":"Logistic Regression with amplifier","level":"8.3.3","depth":2,"path":"regression/kddcup12tr2_lr_amplify.md","ref":"regression/kddcup12tr2_lr_amplify.md","articles":[]},{"title":"AdaGrad, AdaDelta","level":"8.3.4","depth":2,
"path":"regression/kddcup12tr2_adagrad.md","ref":"regression/kddcup12tr2_adagrad.md","articles":[]}]},"dir":"ltr"},"config":{"plugins":["theme-api","edit-link","github","splitter","sitemap","etoc","callouts","toggle-chapters","anchorjs","codeblock-filename","expandable-chapters","multipart","codeblock-filename","katex","emphasize","localized-footer"],"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"pluginsConfig":{"emphasize":{},"callouts":{},"etoc":{"h2lb":3,"header":1,"maxdepth":3,"mindepth":1,"notoc":true},"github":{"url":"https://github.com/apache/incubator-hivemall/"},"splitter":{},"search":{},"downloadpdf":{"base":"https://github.com/apache/incubator-hivemall/docs/gitbook","label":"PDF","multilingual":false},"multipart":{},"localized-footer":{"filename":"FOOTER.md","hline":"true"},"lunr":{"maxIndexSize":1000000,"ignoreSpecialCharacters":false},"katex":{},"fo
ntsettings":{"theme":"white","family":"sans","size":2,"font":"sans"},"highlight":{},"codeblock-filename":{},"sitemap":{"hostname":"http://hivemall.incubator.apache.org/"},"theme-api":{"languages":[],"split":false,"theme":"dark"},"sharing":{"facebook":true,"twitter":true,"google":false,"weibo":false,"instapaper":false,"vk":false,"all":["facebook","google","twitter","weibo","instapaper"]},"edit-link":{"label":"Edit","base":"https://github.com/apache/incubator-hivemall/tree/master/docs/gitbook"},"theme-default":{"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"showLevel":true},"anchorjs":{"selector":"h1,h2,h3,*:not(.callout) > h4,h5"},"toggle-chapters":{},"expandable-chapters":{}},"theme":"default","pdf":{"pageNumbers":true,"fontSize":12,"fontFamily":"Arial","paperSize":"a4","chapterMark":"pagebreak","pageBreaksBefore":"/","margin":{"right":62,"left":62,"top":56,"bot
tom":56}},"structure":{"langs":"LANGS.md","readme":"README.md","glossary":"GLOSSARY.md","summary":"SUMMARY.md"},"variables":{},"title":"Hivemall User Manual","links":{"sidebar":{"<i class=\"fa fa-home\"></i> Home":"http://hivemall.incubator.apache.org/"}},"gitbook":"3.x.x","description":"User Manual for Apache Hivemall"},"file":{"path":"regression/kddcup12tr2_dataset.md","mtime":"2017-12-11T08:48:01.142Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-06-06T09:01:20.330Z"},"basePath":"..","book":{"language":""}});
+ gitbook.page.hasChanged({"page":{"title":"Data preparation","level":"8.3.1","depth":2,"next":{"title":"Logistic Regression, Passive Aggressive","level":"8.3.2","depth":2,"path":"regression/kddcup12tr2_lr.md","ref":"regression/kddcup12tr2_lr.md","articles":[]},"previous":{"title":"KDDCup 2012 Track 2 CTR Prediction Tutorial","level":"8.3","depth":1,"path":"regression/kddcup12tr2.md","ref":"regression/kddcup12tr2.md","articles":[{"title":"Data preparation","level":"8.3.1","depth":2,"path":"regression/kddcup12tr2_dataset.md","ref":"regression/kddcup12tr2_dataset.md","articles":[]},{"title":"Logistic Regression, Passive Aggressive","level":"8.3.2","depth":2,"path":"regression/kddcup12tr2_lr.md","ref":"regression/kddcup12tr2_lr.md","articles":[]},{"title":"Logistic Regression with amplifier","level":"8.3.3","depth":2,"path":"regression/kddcup12tr2_lr_amplify.md","ref":"regression/kddcup12tr2_lr_amplify.md","articles":[]},{"title":"AdaGrad, AdaDelta","level":"8.3.4","depth":2,
"path":"regression/kddcup12tr2_adagrad.md","ref":"regression/kddcup12tr2_adagrad.md","articles":[]}]},"dir":"ltr"},"config":{"plugins":["theme-api","edit-link","github","splitter","sitemap","etoc","callouts","toggle-chapters","anchorjs","codeblock-filename","expandable-chapters","multipart","codeblock-filename","katex","emphasize","localized-footer"],"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"pluginsConfig":{"emphasize":{},"callouts":{},"etoc":{"h2lb":3,"header":1,"maxdepth":3,"mindepth":1,"notoc":true},"github":{"url":"https://github.com/apache/incubator-hivemall/"},"splitter":{},"search":{},"downloadpdf":{"base":"https://github.com/apache/incubator-hivemall/docs/gitbook","label":"PDF","multilingual":false},"multipart":{},"localized-footer":{"filename":"FOOTER.md","hline":"true"},"lunr":{"maxIndexSize":1000000,"ignoreSpecialCharacters":false},"katex":{},"fo
ntsettings":{"theme":"white","family":"sans","size":2,"font":"sans"},"highlight":{},"codeblock-filename":{},"sitemap":{"hostname":"http://hivemall.incubator.apache.org/"},"theme-api":{"languages":[],"split":false,"theme":"dark"},"sharing":{"facebook":true,"twitter":true,"google":false,"weibo":false,"instapaper":false,"vk":false,"all":["facebook","google","twitter","weibo","instapaper"]},"edit-link":{"label":"Edit","base":"https://github.com/apache/incubator-hivemall/tree/master/docs/gitbook"},"theme-default":{"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"showLevel":true},"anchorjs":{"selector":"h1,h2,h3,*:not(.callout) > h4,h5"},"toggle-chapters":{},"expandable-chapters":{}},"theme":"default","pdf":{"pageNumbers":true,"fontSize":12,"fontFamily":"Arial","paperSize":"a4","chapterMark":"pagebreak","pageBreaksBefore":"/","margin":{"right":62,"left":62,"top":56,"bot
tom":56}},"structure":{"langs":"LANGS.md","readme":"README.md","glossary":"GLOSSARY.md","summary":"SUMMARY.md"},"variables":{},"title":"Hivemall User Manual","links":{"sidebar":{"<i class=\"fa fa-home\"></i> Home":"http://hivemall.incubator.apache.org/"}},"gitbook":"3.x.x","description":"User Manual for Apache Hivemall"},"file":{"path":"regression/kddcup12tr2_dataset.md","mtime":"2018-08-29T08:55:00.285Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-08-31T06:54:21.013Z"},"basePath":"..","book":{"language":""}});
});
</script>
</div>
@@ -2549,7 +2615,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
- <script src="https://cdnjs.cloudflare.com/ajax/libs/anchor-js/4.1.0/anchor.min.js"></script>
+ <script src="https://cdnjs.cloudflare.com/ajax/libs/anchor-js/4.1.1/anchor.min.js"></script>
http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/6c6a1b42/userguide/regression/kddcup12tr2_lr.html
----------------------------------------------------------------------
diff --git a/userguide/regression/kddcup12tr2_lr.html b/userguide/regression/kddcup12tr2_lr.html
index 87022b0..9fa0660 100644
--- a/userguide/regression/kddcup12tr2_lr.html
+++ b/userguide/regression/kddcup12tr2_lr.html
@@ -861,9 +861,9 @@
- <li class="chapter " data-level="5.1" data-path="../misc/prediction.html">
+ <li class="chapter " data-level="5.1" data-path="../supervised_learning/prediction.html">
- <a href="../misc/prediction.html">
+ <a href="../supervised_learning/prediction.html">
<b>5.1.</b>
@@ -876,6 +876,21 @@
</li>
+ <li class="chapter " data-level="5.2" data-path="../supervised_learning/tutorial.html">
+
+ <a href="../supervised_learning/tutorial.html">
+
+
+ <b>5.2.</b>
+
+ Step-by-Step Tutorial on Supervised Learning
+
+ </a>
+
+
+
+ </li>
+
@@ -1228,6 +1243,57 @@
</li>
+ <li class="chapter " data-level="6.8" data-path="../binaryclass/criteo.html">
+
+ <a href="../binaryclass/criteo.html">
+
+
+ <b>6.8.</b>
+
+ Criteo Tutorial
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="6.8.1" data-path="../binaryclass/criteo_dataset.html">
+
+ <a href="../binaryclass/criteo_dataset.html">
+
+
+ <b>6.8.1.</b>
+
+ Data preparation
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="6.8.2" data-path="../binaryclass/criteo_ffm.html">
+
+ <a href="../binaryclass/criteo_ffm.html">
+
+
+ <b>6.8.2.</b>
+
+ Field-Aware Factorization Machines
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
@@ -2420,7 +2486,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
<script>
var gitbook = gitbook || [];
gitbook.push(function() {
- gitbook.page.hasChanged({"page":{"title":"Logistic Regression, Passive Aggressive","level":"8.3.2","depth":2,"next":{"title":"Logistic Regression with amplifier","level":"8.3.3","depth":2,"path":"regression/kddcup12tr2_lr_amplify.md","ref":"regression/kddcup12tr2_lr_amplify.md","articles":[]},"previous":{"title":"Data preparation","level":"8.3.1","depth":2,"path":"regression/kddcup12tr2_dataset.md","ref":"regression/kddcup12tr2_dataset.md","articles":[]},"dir":"ltr"},"config":{"plugins":["theme-api","edit-link","github","splitter","sitemap","etoc","callouts","toggle-chapters","anchorjs","codeblock-filename","expandable-chapters","multipart","codeblock-filename","katex","emphasize","localized-footer"],"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"pluginsConfig":{"emphasize":{},"callouts":{},"etoc":{"h2lb":3,"header":1,"maxdepth":3,"mindepth":1,"notoc
":true},"github":{"url":"https://github.com/apache/incubator-hivemall/"},"splitter":{},"search":{},"downloadpdf":{"base":"https://github.com/apache/incubator-hivemall/docs/gitbook","label":"PDF","multilingual":false},"multipart":{},"localized-footer":{"filename":"FOOTER.md","hline":"true"},"lunr":{"maxIndexSize":1000000,"ignoreSpecialCharacters":false},"katex":{},"fontsettings":{"theme":"white","family":"sans","size":2,"font":"sans"},"highlight":{},"codeblock-filename":{},"sitemap":{"hostname":"http://hivemall.incubator.apache.org/"},"theme-api":{"languages":[],"split":false,"theme":"dark"},"sharing":{"facebook":true,"twitter":true,"google":false,"weibo":false,"instapaper":false,"vk":false,"all":["facebook","google","twitter","weibo","instapaper"]},"edit-link":{"label":"Edit","base":"https://github.com/apache/incubator-hivemall/tree/master/docs/gitbook"},"theme-default":{"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css"
,"ebook":"styles/ebook.css","print":"styles/print.css"},"showLevel":true},"anchorjs":{"selector":"h1,h2,h3,*:not(.callout) > h4,h5"},"toggle-chapters":{},"expandable-chapters":{}},"theme":"default","pdf":{"pageNumbers":true,"fontSize":12,"fontFamily":"Arial","paperSize":"a4","chapterMark":"pagebreak","pageBreaksBefore":"/","margin":{"right":62,"left":62,"top":56,"bottom":56}},"structure":{"langs":"LANGS.md","readme":"README.md","glossary":"GLOSSARY.md","summary":"SUMMARY.md"},"variables":{},"title":"Hivemall User Manual","links":{"sidebar":{"<i class=\"fa fa-home\"></i> Home":"http://hivemall.incubator.apache.org/"}},"gitbook":"3.x.x","description":"User Manual for Apache Hivemall"},"file":{"path":"regression/kddcup12tr2_lr.md","mtime":"2017-12-11T08:48:01.142Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-06-06T09:01:20.330Z"},"basePath":"..","book":{"language":""}});
+ gitbook.page.hasChanged({"page":{"title":"Logistic Regression, Passive Aggressive","level":"8.3.2","depth":2,"next":{"title":"Logistic Regression with amplifier","level":"8.3.3","depth":2,"path":"regression/kddcup12tr2_lr_amplify.md","ref":"regression/kddcup12tr2_lr_amplify.md","articles":[]},"previous":{"title":"Data preparation","level":"8.3.1","depth":2,"path":"regression/kddcup12tr2_dataset.md","ref":"regression/kddcup12tr2_dataset.md","articles":[]},"dir":"ltr"},"config":{"plugins":["theme-api","edit-link","github","splitter","sitemap","etoc","callouts","toggle-chapters","anchorjs","codeblock-filename","expandable-chapters","multipart","codeblock-filename","katex","emphasize","localized-footer"],"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"pluginsConfig":{"emphasize":{},"callouts":{},"etoc":{"h2lb":3,"header":1,"maxdepth":3,"mindepth":1,"notoc
":true},"github":{"url":"https://github.com/apache/incubator-hivemall/"},"splitter":{},"search":{},"downloadpdf":{"base":"https://github.com/apache/incubator-hivemall/docs/gitbook","label":"PDF","multilingual":false},"multipart":{},"localized-footer":{"filename":"FOOTER.md","hline":"true"},"lunr":{"maxIndexSize":1000000,"ignoreSpecialCharacters":false},"katex":{},"fontsettings":{"theme":"white","family":"sans","size":2,"font":"sans"},"highlight":{},"codeblock-filename":{},"sitemap":{"hostname":"http://hivemall.incubator.apache.org/"},"theme-api":{"languages":[],"split":false,"theme":"dark"},"sharing":{"facebook":true,"twitter":true,"google":false,"weibo":false,"instapaper":false,"vk":false,"all":["facebook","google","twitter","weibo","instapaper"]},"edit-link":{"label":"Edit","base":"https://github.com/apache/incubator-hivemall/tree/master/docs/gitbook"},"theme-default":{"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css"
,"ebook":"styles/ebook.css","print":"styles/print.css"},"showLevel":true},"anchorjs":{"selector":"h1,h2,h3,*:not(.callout) > h4,h5"},"toggle-chapters":{},"expandable-chapters":{}},"theme":"default","pdf":{"pageNumbers":true,"fontSize":12,"fontFamily":"Arial","paperSize":"a4","chapterMark":"pagebreak","pageBreaksBefore":"/","margin":{"right":62,"left":62,"top":56,"bottom":56}},"structure":{"langs":"LANGS.md","readme":"README.md","glossary":"GLOSSARY.md","summary":"SUMMARY.md"},"variables":{},"title":"Hivemall User Manual","links":{"sidebar":{"<i class=\"fa fa-home\"></i> Home":"http://hivemall.incubator.apache.org/"}},"gitbook":"3.x.x","description":"User Manual for Apache Hivemall"},"file":{"path":"regression/kddcup12tr2_lr.md","mtime":"2018-08-29T08:55:00.285Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-08-31T06:54:21.013Z"},"basePath":"..","book":{"language":""}});
});
</script>
</div>
@@ -2450,7 +2516,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
- <script src="https://cdnjs.cloudflare.com/ajax/libs/anchor-js/4.1.0/anchor.min.js"></script>
+ <script src="https://cdnjs.cloudflare.com/ajax/libs/anchor-js/4.1.1/anchor.min.js"></script>
http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/6c6a1b42/userguide/regression/kddcup12tr2_lr_amplify.html
----------------------------------------------------------------------
diff --git a/userguide/regression/kddcup12tr2_lr_amplify.html b/userguide/regression/kddcup12tr2_lr_amplify.html
index 351d392..43f35e5 100644
--- a/userguide/regression/kddcup12tr2_lr_amplify.html
+++ b/userguide/regression/kddcup12tr2_lr_amplify.html
@@ -861,9 +861,9 @@
- <li class="chapter " data-level="5.1" data-path="../misc/prediction.html">
+ <li class="chapter " data-level="5.1" data-path="../supervised_learning/prediction.html">
- <a href="../misc/prediction.html">
+ <a href="../supervised_learning/prediction.html">
<b>5.1.</b>
@@ -876,6 +876,21 @@
</li>
+ <li class="chapter " data-level="5.2" data-path="../supervised_learning/tutorial.html">
+
+ <a href="../supervised_learning/tutorial.html">
+
+
+ <b>5.2.</b>
+
+ Step-by-Step Tutorial on Supervised Learning
+
+ </a>
+
+
+
+ </li>
+
@@ -1228,6 +1243,57 @@
</li>
+ <li class="chapter " data-level="6.8" data-path="../binaryclass/criteo.html">
+
+ <a href="../binaryclass/criteo.html">
+
+
+ <b>6.8.</b>
+
+ Criteo Tutorial
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="6.8.1" data-path="../binaryclass/criteo_dataset.html">
+
+ <a href="../binaryclass/criteo_dataset.html">
+
+
+ <b>6.8.1.</b>
+
+ Data preparation
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="6.8.2" data-path="../binaryclass/criteo_ffm.html">
+
+ <a href="../binaryclass/criteo_ffm.html">
+
+
+ <b>6.8.2.</b>
+
+ Field-Aware Factorization Machines
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
@@ -2364,7 +2430,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
<script>
var gitbook = gitbook || [];
gitbook.push(function() {
- gitbook.page.hasChanged({"page":{"title":"Logistic Regression with amplifier","level":"8.3.3","depth":2,"next":{"title":"AdaGrad, AdaDelta","level":"8.3.4","depth":2,"path":"regression/kddcup12tr2_adagrad.md","ref":"regression/kddcup12tr2_adagrad.md","articles":[]},"previous":{"title":"Logistic Regression, Passive Aggressive","level":"8.3.2","depth":2,"path":"regression/kddcup12tr2_lr.md","ref":"regression/kddcup12tr2_lr.md","articles":[]},"dir":"ltr"},"config":{"plugins":["theme-api","edit-link","github","splitter","sitemap","etoc","callouts","toggle-chapters","anchorjs","codeblock-filename","expandable-chapters","multipart","codeblock-filename","katex","emphasize","localized-footer"],"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"pluginsConfig":{"emphasize":{},"callouts":{},"etoc":{"h2lb":3,"header":1,"maxdepth":3,"mindepth":1,"notoc":true},"github
":{"url":"https://github.com/apache/incubator-hivemall/"},"splitter":{},"search":{},"downloadpdf":{"base":"https://github.com/apache/incubator-hivemall/docs/gitbook","label":"PDF","multilingual":false},"multipart":{},"localized-footer":{"filename":"FOOTER.md","hline":"true"},"lunr":{"maxIndexSize":1000000,"ignoreSpecialCharacters":false},"katex":{},"fontsettings":{"theme":"white","family":"sans","size":2,"font":"sans"},"highlight":{},"codeblock-filename":{},"sitemap":{"hostname":"http://hivemall.incubator.apache.org/"},"theme-api":{"languages":[],"split":false,"theme":"dark"},"sharing":{"facebook":true,"twitter":true,"google":false,"weibo":false,"instapaper":false,"vk":false,"all":["facebook","google","twitter","weibo","instapaper"]},"edit-link":{"label":"Edit","base":"https://github.com/apache/incubator-hivemall/tree/master/docs/gitbook"},"theme-default":{"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"style
s/ebook.css","print":"styles/print.css"},"showLevel":true},"anchorjs":{"selector":"h1,h2,h3,*:not(.callout) > h4,h5"},"toggle-chapters":{},"expandable-chapters":{}},"theme":"default","pdf":{"pageNumbers":true,"fontSize":12,"fontFamily":"Arial","paperSize":"a4","chapterMark":"pagebreak","pageBreaksBefore":"/","margin":{"right":62,"left":62,"top":56,"bottom":56}},"structure":{"langs":"LANGS.md","readme":"README.md","glossary":"GLOSSARY.md","summary":"SUMMARY.md"},"variables":{},"title":"Hivemall User Manual","links":{"sidebar":{"<i class=\"fa fa-home\"></i> Home":"http://hivemall.incubator.apache.org/"}},"gitbook":"3.x.x","description":"User Manual for Apache Hivemall"},"file":{"path":"regression/kddcup12tr2_lr_amplify.md","mtime":"2017-12-11T08:48:01.142Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-06-06T09:01:20.330Z"},"basePath":"..","book":{"language":""}});
+ gitbook.page.hasChanged({"page":{"title":"Logistic Regression with amplifier","level":"8.3.3","depth":2,"next":{"title":"AdaGrad, AdaDelta","level":"8.3.4","depth":2,"path":"regression/kddcup12tr2_adagrad.md","ref":"regression/kddcup12tr2_adagrad.md","articles":[]},"previous":{"title":"Logistic Regression, Passive Aggressive","level":"8.3.2","depth":2,"path":"regression/kddcup12tr2_lr.md","ref":"regression/kddcup12tr2_lr.md","articles":[]},"dir":"ltr"},"config":{"plugins":["theme-api","edit-link","github","splitter","sitemap","etoc","callouts","toggle-chapters","anchorjs","codeblock-filename","expandable-chapters","multipart","codeblock-filename","katex","emphasize","localized-footer"],"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"pluginsConfig":{"emphasize":{},"callouts":{},"etoc":{"h2lb":3,"header":1,"maxdepth":3,"mindepth":1,"notoc":true},"github
":{"url":"https://github.com/apache/incubator-hivemall/"},"splitter":{},"search":{},"downloadpdf":{"base":"https://github.com/apache/incubator-hivemall/docs/gitbook","label":"PDF","multilingual":false},"multipart":{},"localized-footer":{"filename":"FOOTER.md","hline":"true"},"lunr":{"maxIndexSize":1000000,"ignoreSpecialCharacters":false},"katex":{},"fontsettings":{"theme":"white","family":"sans","size":2,"font":"sans"},"highlight":{},"codeblock-filename":{},"sitemap":{"hostname":"http://hivemall.incubator.apache.org/"},"theme-api":{"languages":[],"split":false,"theme":"dark"},"sharing":{"facebook":true,"twitter":true,"google":false,"weibo":false,"instapaper":false,"vk":false,"all":["facebook","google","twitter","weibo","instapaper"]},"edit-link":{"label":"Edit","base":"https://github.com/apache/incubator-hivemall/tree/master/docs/gitbook"},"theme-default":{"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"style
s/ebook.css","print":"styles/print.css"},"showLevel":true},"anchorjs":{"selector":"h1,h2,h3,*:not(.callout) > h4,h5"},"toggle-chapters":{},"expandable-chapters":{}},"theme":"default","pdf":{"pageNumbers":true,"fontSize":12,"fontFamily":"Arial","paperSize":"a4","chapterMark":"pagebreak","pageBreaksBefore":"/","margin":{"right":62,"left":62,"top":56,"bottom":56}},"structure":{"langs":"LANGS.md","readme":"README.md","glossary":"GLOSSARY.md","summary":"SUMMARY.md"},"variables":{},"title":"Hivemall User Manual","links":{"sidebar":{"<i class=\"fa fa-home\"></i> Home":"http://hivemall.incubator.apache.org/"}},"gitbook":"3.x.x","description":"User Manual for Apache Hivemall"},"file":{"path":"regression/kddcup12tr2_lr_amplify.md","mtime":"2018-08-29T08:55:00.285Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-08-31T06:54:21.013Z"},"basePath":"..","book":{"language":""}});
});
</script>
</div>
@@ -2394,7 +2460,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
- <script src="https://cdnjs.cloudflare.com/ajax/libs/anchor-js/4.1.0/anchor.min.js"></script>
+ <script src="https://cdnjs.cloudflare.com/ajax/libs/anchor-js/4.1.1/anchor.min.js"></script>
[19/20] incubator-hivemall-site git commit: Added criteo example and
step-by-step guide for general classifier/regressor
Posted by my...@apache.org.
http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/6c6a1b42/userguide/binaryclass/criteo.html
----------------------------------------------------------------------
diff --git a/userguide/binaryclass/criteo.html b/userguide/binaryclass/criteo.html
new file mode 100644
index 0000000..d8839fd
--- /dev/null
+++ b/userguide/binaryclass/criteo.html
@@ -0,0 +1,2412 @@
+
+<!DOCTYPE HTML>
+<html lang="" >
+ <head>
+ <meta charset="UTF-8">
+ <meta content="text/html; charset=utf-8" http-equiv="Content-Type">
+ <title>Criteo Tutorial · Hivemall User Manual</title>
+ <meta http-equiv="X-UA-Compatible" content="IE=edge" />
+ <meta name="description" content="">
+ <meta name="generator" content="GitBook 3.2.3">
+
+
+
+
+ <link rel="stylesheet" href="../gitbook/style.css">
+
+
+
+
+ <link rel="stylesheet" href="../gitbook/gitbook-plugin-splitter/splitter.css">
+
+
+
+ <link rel="stylesheet" href="../gitbook/gitbook-plugin-etoc/plugin.css">
+
+
+
+ <link rel="stylesheet" href="../gitbook/gitbook-plugin-callouts/plugin.css">
+
+
+
+ <link rel="stylesheet" href="../gitbook/gitbook-plugin-toggle-chapters/toggle.css">
+
+
+
+ <link rel="stylesheet" href="../gitbook/gitbook-plugin-codeblock-filename/block.css">
+
+
+
+ <link rel="stylesheet" href="../gitbook/gitbook-plugin-expandable-chapters/expandable-chapters.css">
+
+
+
+ <link rel="stylesheet" href="../gitbook/gitbook-plugin-multipart/multipart.css">
+
+
+
+ <link rel="stylesheet" href="../gitbook/gitbook-plugin-katex/katex.min.css">
+
+
+
+ <link rel="stylesheet" href="../gitbook/gitbook-plugin-emphasize/plugin.css">
+
+
+
+ <link rel="stylesheet" href="../gitbook/gitbook-plugin-highlight/website.css">
+
+
+
+ <link rel="stylesheet" href="../gitbook/gitbook-plugin-search/search.css">
+
+
+
+ <link rel="stylesheet" href="../gitbook/gitbook-plugin-fontsettings/website.css">
+
+
+
+ <link rel="stylesheet" href="../gitbook/gitbook-plugin-theme-api/theme-api.css">
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+ <meta name="HandheldFriendly" content="true"/>
+ <meta name="viewport" content="width=device-width, initial-scale=1, user-scalable=no">
+ <meta name="apple-mobile-web-app-capable" content="yes">
+ <meta name="apple-mobile-web-app-status-bar-style" content="black">
+ <link rel="apple-touch-icon-precomposed" sizes="152x152" href="../gitbook/images/apple-touch-icon-precomposed-152.png">
+ <link rel="shortcut icon" href="../gitbook/images/favicon.ico" type="image/x-icon">
+
+
+ <link rel="next" href="criteo_dataset.html" />
+
+
+ <link rel="prev" href="titanic_rf.html" />
+
+
+ </head>
+ <body>
+
+<div class="book">
+ <div class="book-summary">
+
+
+<div id="book-search-input" role="search">
+ <input type="text" placeholder="Type to search" />
+</div>
+
+
+ <nav role="navigation">
+
+
+
+<ul class="summary">
+
+
+
+
+ <li>
+ <a href="http://hivemall.incubator.apache.org/" target="_blank" class="custom-link"><i class="fa fa-home"></i> Home</a>
+ </li>
+
+
+
+
+ <li class="divider"></li>
+
+
+
+
+ <li class="header">TABLE OF CONTENTS</li>
+
+
+
+ <li class="chapter " data-level="1.1" data-path="../">
+
+ <a href="../">
+
+
+ <b>1.1.</b>
+
+ Introduction
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="1.2" data-path="../getting_started/">
+
+ <a href="../getting_started/">
+
+
+ <b>1.2.</b>
+
+ Getting Started
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="1.2.1" data-path="../getting_started/installation.html">
+
+ <a href="../getting_started/installation.html">
+
+
+ <b>1.2.1.</b>
+
+ Installation
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="1.2.2" data-path="../getting_started/permanent-functions.html">
+
+ <a href="../getting_started/permanent-functions.html">
+
+
+ <b>1.2.2.</b>
+
+ Install as permanent functions
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="1.2.3" data-path="../getting_started/input-format.html">
+
+ <a href="../getting_started/input-format.html">
+
+
+ <b>1.2.3.</b>
+
+ Input Format
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+ <li class="chapter " data-level="1.3" data-path="../misc/funcs.html">
+
+ <a href="../misc/funcs.html">
+
+
+ <b>1.3.</b>
+
+ List of Functions
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="1.4" data-path="../tips/">
+
+ <a href="../tips/">
+
+
+ <b>1.4.</b>
+
+ Tips for Effective Hivemall
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="1.4.1" data-path="../tips/addbias.html">
+
+ <a href="../tips/addbias.html">
+
+
+ <b>1.4.1.</b>
+
+ Explicit add_bias() for better prediction
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="1.4.2" data-path="../tips/rand_amplify.html">
+
+ <a href="../tips/rand_amplify.html">
+
+
+ <b>1.4.2.</b>
+
+ Use rand_amplify() to better prediction results
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="1.4.3" data-path="../tips/rt_prediction.html">
+
+ <a href="../tips/rt_prediction.html">
+
+
+ <b>1.4.3.</b>
+
+ Real-time prediction on RDBMS
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="1.4.4" data-path="../tips/ensemble_learning.html">
+
+ <a href="../tips/ensemble_learning.html">
+
+
+ <b>1.4.4.</b>
+
+ Ensemble learning for stable prediction
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="1.4.5" data-path="../tips/mixserver.html">
+
+ <a href="../tips/mixserver.html">
+
+
+ <b>1.4.5.</b>
+
+ Mixing models for a better prediction convergence (MIX server)
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="1.4.6" data-path="../tips/emr.html">
+
+ <a href="../tips/emr.html">
+
+
+ <b>1.4.6.</b>
+
+ Run Hivemall on Amazon Elastic MapReduce
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+ <li class="chapter " data-level="1.5" data-path="../tips/general_tips.html">
+
+ <a href="../tips/general_tips.html">
+
+
+ <b>1.5.</b>
+
+ General Hive/Hadoop Tips
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="1.5.1" data-path="../tips/rowid.html">
+
+ <a href="../tips/rowid.html">
+
+
+ <b>1.5.1.</b>
+
+ Adding rowid for each row
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="1.5.2" data-path="../tips/hadoop_tuning.html">
+
+ <a href="../tips/hadoop_tuning.html">
+
+
+ <b>1.5.2.</b>
+
+ Hadoop tuning for Hivemall
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+ <li class="chapter " data-level="1.6" data-path="../troubleshooting/">
+
+ <a href="../troubleshooting/">
+
+
+ <b>1.6.</b>
+
+ Troubleshooting
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="1.6.1" data-path="../troubleshooting/oom.html">
+
+ <a href="../troubleshooting/oom.html">
+
+
+ <b>1.6.1.</b>
+
+ OutOfMemoryError in training
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="1.6.2" data-path="../troubleshooting/mapjoin_task_error.html">
+
+ <a href="../troubleshooting/mapjoin_task_error.html">
+
+
+ <b>1.6.2.</b>
+
+ SemanticException generate map join task error: Cannot serialize object
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="1.6.3" data-path="../troubleshooting/asterisk.html">
+
+ <a href="../troubleshooting/asterisk.html">
+
+
+ <b>1.6.3.</b>
+
+ Asterisk argument for UDTF does not work
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="1.6.4" data-path="../troubleshooting/num_mappers.html">
+
+ <a href="../troubleshooting/num_mappers.html">
+
+
+ <b>1.6.4.</b>
+
+ The number of mappers is less than input splits in Hadoop 2.x
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="1.6.5" data-path="../troubleshooting/mapjoin_classcastex.html">
+
+ <a href="../troubleshooting/mapjoin_classcastex.html">
+
+
+ <b>1.6.5.</b>
+
+ Map-side join causes ClassCastException on Tez
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+
+
+
+ <li class="header">Part II - Generic Features</li>
+
+
+
+ <li class="chapter " data-level="2.1" data-path="../misc/generic_funcs.html">
+
+ <a href="../misc/generic_funcs.html">
+
+
+ <b>2.1.</b>
+
+ List of Generic Hivemall Functions
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="2.2" data-path="../misc/topk.html">
+
+ <a href="../misc/topk.html">
+
+
+ <b>2.2.</b>
+
+ Efficient Top-K Query Processing
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="2.3" data-path="../misc/tokenizer.html">
+
+ <a href="../misc/tokenizer.html">
+
+
+ <b>2.3.</b>
+
+ Text Tokenizer
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="2.4" data-path="../misc/approx.html">
+
+ <a href="../misc/approx.html">
+
+
+ <b>2.4.</b>
+
+ Approximate Aggregate Functions
+
+ </a>
+
+
+
+ </li>
+
+
+
+
+ <li class="header">Part III - Feature Engineering</li>
+
+
+
+ <li class="chapter " data-level="3.1" data-path="../ft_engineering/scaling.html">
+
+ <a href="../ft_engineering/scaling.html">
+
+
+ <b>3.1.</b>
+
+ Feature Scaling
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="3.2" data-path="../ft_engineering/hashing.html">
+
+ <a href="../ft_engineering/hashing.html">
+
+
+ <b>3.2.</b>
+
+ Feature Hashing
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="3.3" data-path="../ft_engineering/selection.html">
+
+ <a href="../ft_engineering/selection.html">
+
+
+ <b>3.3.</b>
+
+ Feature Selection
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="3.4" data-path="../ft_engineering/binning.html">
+
+ <a href="../ft_engineering/binning.html">
+
+
+ <b>3.4.</b>
+
+ Feature Binning
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="3.5" data-path="../ft_engineering/pairing.html">
+
+ <a href="../ft_engineering/pairing.html">
+
+
+ <b>3.5.</b>
+
+ Feature Paring
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="3.5.1" data-path="../ft_engineering/polynomial.html">
+
+ <a href="../ft_engineering/polynomial.html">
+
+
+ <b>3.5.1.</b>
+
+ Polynomial features
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+ <li class="chapter " data-level="3.6" data-path="../ft_engineering/ft_trans.html">
+
+ <a href="../ft_engineering/ft_trans.html">
+
+
+ <b>3.6.</b>
+
+ Feature Transformation
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="3.6.1" data-path="../ft_engineering/vectorization.html">
+
+ <a href="../ft_engineering/vectorization.html">
+
+
+ <b>3.6.1.</b>
+
+ Feature vectorization
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="3.6.2" data-path="../ft_engineering/quantify.html">
+
+ <a href="../ft_engineering/quantify.html">
+
+
+ <b>3.6.2.</b>
+
+ Quantify non-number features
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+ <li class="chapter " data-level="3.7" data-path="../ft_engineering/tfidf.html">
+
+ <a href="../ft_engineering/tfidf.html">
+
+
+ <b>3.7.</b>
+
+ TF-IDF Calculation
+
+ </a>
+
+
+
+ </li>
+
+
+
+
+ <li class="header">Part IV - Evaluation</li>
+
+
+
+ <li class="chapter " data-level="4.1" data-path="../eval/binary_classification_measures.html">
+
+ <a href="../eval/binary_classification_measures.html">
+
+
+ <b>4.1.</b>
+
+ Binary Classification Metrics
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="4.1.1" data-path="../eval/auc.html">
+
+ <a href="../eval/auc.html">
+
+
+ <b>4.1.1.</b>
+
+ Area under the ROC curve
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+ <li class="chapter " data-level="4.2" data-path="../eval/multilabel_classification_measures.html">
+
+ <a href="../eval/multilabel_classification_measures.html">
+
+
+ <b>4.2.</b>
+
+ Multi-label Classification Metrics
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="4.3" data-path="../eval/regression.html">
+
+ <a href="../eval/regression.html">
+
+
+ <b>4.3.</b>
+
+ Regression Metrics
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="4.4" data-path="../eval/rank.html">
+
+ <a href="../eval/rank.html">
+
+
+ <b>4.4.</b>
+
+ Ranking Measures
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="4.5" data-path="../eval/datagen.html">
+
+ <a href="../eval/datagen.html">
+
+
+ <b>4.5.</b>
+
+ Data Generation
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="4.5.1" data-path="../eval/lr_datagen.html">
+
+ <a href="../eval/lr_datagen.html">
+
+
+ <b>4.5.1.</b>
+
+ Logistic Regression data generation
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+
+
+
+ <li class="header">Part V - Supervised Learning</li>
+
+
+
+ <li class="chapter " data-level="5.1" data-path="../supervised_learning/prediction.html">
+
+ <a href="../supervised_learning/prediction.html">
+
+
+ <b>5.1.</b>
+
+ How Prediction Works
+
+ </a>
+
+
+
+ </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>
+
+
+
+
+ <li class="header">Part VI - Binary Classification</li>
+
+
+
+ <li class="chapter " data-level="6.1" data-path="general.html">
+
+ <a href="general.html">
+
+
+ <b>6.1.</b>
+
+ Binary Classification
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="6.2" data-path="a9a.html">
+
+ <a href="a9a.html">
+
+
+ <b>6.2.</b>
+
+ a9a Tutorial
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="6.2.1" data-path="a9a_dataset.html">
+
+ <a href="a9a_dataset.html">
+
+
+ <b>6.2.1.</b>
+
+ Data preparation
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="6.2.2" data-path="a9a_lr.html">
+
+ <a href="a9a_lr.html">
+
+
+ <b>6.2.2.</b>
+
+ Logistic Regression
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="6.2.3" data-path="a9a_minibatch.html">
+
+ <a href="a9a_minibatch.html">
+
+
+ <b>6.2.3.</b>
+
+ Mini-batch gradient descent
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+ <li class="chapter " data-level="6.3" data-path="news20.html">
+
+ <a href="news20.html">
+
+
+ <b>6.3.</b>
+
+ News20 Tutorial
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="6.3.1" data-path="news20_dataset.html">
+
+ <a href="news20_dataset.html">
+
+
+ <b>6.3.1.</b>
+
+ Data preparation
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="6.3.2" data-path="news20_pa.html">
+
+ <a href="news20_pa.html">
+
+
+ <b>6.3.2.</b>
+
+ Perceptron, Passive Aggressive
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="6.3.3" data-path="news20_scw.html">
+
+ <a href="news20_scw.html">
+
+
+ <b>6.3.3.</b>
+
+ CW, AROW, SCW
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="6.3.4" data-path="news20_adagrad.html">
+
+ <a href="news20_adagrad.html">
+
+
+ <b>6.3.4.</b>
+
+ AdaGradRDA, AdaGrad, AdaDelta
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="6.3.5" data-path="news20_rf.html">
+
+ <a href="news20_rf.html">
+
+
+ <b>6.3.5.</b>
+
+ Random Forest
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+ <li class="chapter " data-level="6.4" data-path="kdd2010a.html">
+
+ <a href="kdd2010a.html">
+
+
+ <b>6.4.</b>
+
+ KDD2010a Tutorial
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="6.4.1" data-path="kdd2010a_dataset.html">
+
+ <a href="kdd2010a_dataset.html">
+
+
+ <b>6.4.1.</b>
+
+ Data preparation
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="6.4.2" data-path="kdd2010a_scw.html">
+
+ <a href="kdd2010a_scw.html">
+
+
+ <b>6.4.2.</b>
+
+ PA, CW, AROW, SCW
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+ <li class="chapter " data-level="6.5" data-path="kdd2010b.html">
+
+ <a href="kdd2010b.html">
+
+
+ <b>6.5.</b>
+
+ KDD2010b Tutorial
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="6.5.1" data-path="kdd2010b_dataset.html">
+
+ <a href="kdd2010b_dataset.html">
+
+
+ <b>6.5.1.</b>
+
+ Data preparation
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="6.5.2" data-path="kdd2010b_arow.html">
+
+ <a href="kdd2010b_arow.html">
+
+
+ <b>6.5.2.</b>
+
+ AROW
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+ <li class="chapter " data-level="6.6" data-path="webspam.html">
+
+ <a href="webspam.html">
+
+
+ <b>6.6.</b>
+
+ Webspam Tutorial
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="6.6.1" data-path="webspam_dataset.html">
+
+ <a href="webspam_dataset.html">
+
+
+ <b>6.6.1.</b>
+
+ Data pareparation
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="6.6.2" data-path="webspam_scw.html">
+
+ <a href="webspam_scw.html">
+
+
+ <b>6.6.2.</b>
+
+ PA1, AROW, SCW
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+ <li class="chapter " data-level="6.7" data-path="titanic_rf.html">
+
+ <a href="titanic_rf.html">
+
+
+ <b>6.7.</b>
+
+ Kaggle Titanic Tutorial
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter active" 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>
+
+
+
+
+ <li class="header">Part VII - Multiclass Classification</li>
+
+
+
+ <li class="chapter " data-level="7.1" data-path="../multiclass/news20.html">
+
+ <a href="../multiclass/news20.html">
+
+
+ <b>7.1.</b>
+
+ News20 Multiclass Tutorial
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="7.1.1" data-path="../multiclass/news20_dataset.html">
+
+ <a href="../multiclass/news20_dataset.html">
+
+
+ <b>7.1.1.</b>
+
+ Data preparation
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="7.1.2" data-path="../multiclass/news20_one-vs-the-rest_dataset.html">
+
+ <a href="../multiclass/news20_one-vs-the-rest_dataset.html">
+
+
+ <b>7.1.2.</b>
+
+ Data preparation for one-vs-the-rest classifiers
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="7.1.3" data-path="../multiclass/news20_pa.html">
+
+ <a href="../multiclass/news20_pa.html">
+
+
+ <b>7.1.3.</b>
+
+ PA
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="7.1.4" data-path="../multiclass/news20_scw.html">
+
+ <a href="../multiclass/news20_scw.html">
+
+
+ <b>7.1.4.</b>
+
+ CW, AROW, SCW
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="7.1.5" data-path="../multiclass/news20_ensemble.html">
+
+ <a href="../multiclass/news20_ensemble.html">
+
+
+ <b>7.1.5.</b>
+
+ Ensemble learning
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="7.1.6" data-path="../multiclass/news20_one-vs-the-rest.html">
+
+ <a href="../multiclass/news20_one-vs-the-rest.html">
+
+
+ <b>7.1.6.</b>
+
+ one-vs-the-rest classifier
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+ <li class="chapter " data-level="7.2" data-path="../multiclass/iris.html">
+
+ <a href="../multiclass/iris.html">
+
+
+ <b>7.2.</b>
+
+ Iris Tutorial
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="7.2.1" data-path="../multiclass/iris_dataset.html">
+
+ <a href="../multiclass/iris_dataset.html">
+
+
+ <b>7.2.1.</b>
+
+ Data preparation
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="7.2.2" data-path="../multiclass/iris_scw.html">
+
+ <a href="../multiclass/iris_scw.html">
+
+
+ <b>7.2.2.</b>
+
+ SCW
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="7.2.3" data-path="../multiclass/iris_randomforest.html">
+
+ <a href="../multiclass/iris_randomforest.html">
+
+
+ <b>7.2.3.</b>
+
+ Random Forest
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+
+
+
+ <li class="header">Part VIII - Regression</li>
+
+
+
+ <li class="chapter " data-level="8.1" data-path="../regression/general.html">
+
+ <a href="../regression/general.html">
+
+
+ <b>8.1.</b>
+
+ Regression
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="8.2" data-path="../regression/e2006.html">
+
+ <a href="../regression/e2006.html">
+
+
+ <b>8.2.</b>
+
+ E2006-tfidf Regression Tutorial
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="8.2.1" data-path="../regression/e2006_dataset.html">
+
+ <a href="../regression/e2006_dataset.html">
+
+
+ <b>8.2.1.</b>
+
+ Data preparation
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="8.2.2" data-path="../regression/e2006_arow.html">
+
+ <a href="../regression/e2006_arow.html">
+
+
+ <b>8.2.2.</b>
+
+ Passive Aggressive, AROW
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+ <li class="chapter " data-level="8.3" data-path="../regression/kddcup12tr2.html">
+
+ <a href="../regression/kddcup12tr2.html">
+
+
+ <b>8.3.</b>
+
+ KDDCup 2012 Track 2 CTR Prediction Tutorial
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="8.3.1" data-path="../regression/kddcup12tr2_dataset.html">
+
+ <a href="../regression/kddcup12tr2_dataset.html">
+
+
+ <b>8.3.1.</b>
+
+ Data preparation
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="8.3.2" data-path="../regression/kddcup12tr2_lr.html">
+
+ <a href="../regression/kddcup12tr2_lr.html">
+
+
+ <b>8.3.2.</b>
+
+ Logistic Regression, Passive Aggressive
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="8.3.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
+
+ <a href="../regression/kddcup12tr2_lr_amplify.html">
+
+
+ <b>8.3.3.</b>
+
+ Logistic Regression with amplifier
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="8.3.4" data-path="../regression/kddcup12tr2_adagrad.html">
+
+ <a href="../regression/kddcup12tr2_adagrad.html">
+
+
+ <b>8.3.4.</b>
+
+ AdaGrad, AdaDelta
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+
+
+
+ <li class="header">Part IX - Recommendation</li>
+
+
+
+ <li class="chapter " data-level="9.1" data-path="../recommend/cf.html">
+
+ <a href="../recommend/cf.html">
+
+
+ <b>9.1.</b>
+
+ Collaborative Filtering
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="9.1.1" data-path="../recommend/item_based_cf.html">
+
+ <a href="../recommend/item_based_cf.html">
+
+
+ <b>9.1.1.</b>
+
+ Item-based collaborative filtering
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+ <li class="chapter " data-level="9.2" data-path="../recommend/news20.html">
+
+ <a href="../recommend/news20.html">
+
+
+ <b>9.2.</b>
+
+ News20 Related Article Recommendation Tutorial
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="9.2.1" data-path="../multiclass/news20_dataset.html">
+
+ <a href="../multiclass/news20_dataset.html">
+
+
+ <b>9.2.1.</b>
+
+ Data preparation
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="9.2.2" data-path="../recommend/news20_jaccard.html">
+
+ <a href="../recommend/news20_jaccard.html">
+
+
+ <b>9.2.2.</b>
+
+ LSH/MinHash and Jaccard similarity
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="9.2.3" data-path="../recommend/news20_knn.html">
+
+ <a href="../recommend/news20_knn.html">
+
+
+ <b>9.2.3.</b>
+
+ LSH/MinHash and brute-force search
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="9.2.4" data-path="../recommend/news20_bbit_minhash.html">
+
+ <a href="../recommend/news20_bbit_minhash.html">
+
+
+ <b>9.2.4.</b>
+
+ kNN search using b-Bits MinHash
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+ <li class="chapter " data-level="9.3" data-path="../recommend/movielens.html">
+
+ <a href="../recommend/movielens.html">
+
+
+ <b>9.3.</b>
+
+ MovieLens Movie Recommendation Tutorial
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="9.3.1" data-path="../recommend/movielens_dataset.html">
+
+ <a href="../recommend/movielens_dataset.html">
+
+
+ <b>9.3.1.</b>
+
+ Data preparation
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="9.3.2" data-path="../recommend/movielens_cf.html">
+
+ <a href="../recommend/movielens_cf.html">
+
+
+ <b>9.3.2.</b>
+
+ Item-based collaborative filtering
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="9.3.3" data-path="../recommend/movielens_mf.html">
+
+ <a href="../recommend/movielens_mf.html">
+
+
+ <b>9.3.3.</b>
+
+ Matrix Factorization
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="9.3.4" data-path="../recommend/movielens_fm.html">
+
+ <a href="../recommend/movielens_fm.html">
+
+
+ <b>9.3.4.</b>
+
+ Factorization Machine
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="9.3.5" data-path="../recommend/movielens_slim.html">
+
+ <a href="../recommend/movielens_slim.html">
+
+
+ <b>9.3.5.</b>
+
+ SLIM for fast top-k recommendation
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="9.3.6" data-path="../recommend/movielens_cv.html">
+
+ <a href="../recommend/movielens_cv.html">
+
+
+ <b>9.3.6.</b>
+
+ 10-fold cross validation (Matrix Factorization)
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+
+
+
+ <li class="header">Part X - Anomaly Detection</li>
+
+
+
+ <li class="chapter " data-level="10.1" data-path="../anomaly/lof.html">
+
+ <a href="../anomaly/lof.html">
+
+
+ <b>10.1.</b>
+
+ Outlier Detection using Local Outlier Factor (LOF)
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="10.2" data-path="../anomaly/sst.html">
+
+ <a href="../anomaly/sst.html">
+
+
+ <b>10.2.</b>
+
+ Change-Point Detection using Singular Spectrum Transformation (SST)
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="10.3" data-path="../anomaly/changefinder.html">
+
+ <a href="../anomaly/changefinder.html">
+
+
+ <b>10.3.</b>
+
+ ChangeFinder: Detecting Outlier and Change-Point Simultaneously
+
+ </a>
+
+
+
+ </li>
+
+
+
+
+ <li class="header">Part XI - Clustering</li>
+
+
+
+ <li class="chapter " data-level="11.1" data-path="../clustering/lda.html">
+
+ <a href="../clustering/lda.html">
+
+
+ <b>11.1.</b>
+
+ Latent Dirichlet Allocation
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="11.2" data-path="../clustering/plsa.html">
+
+ <a href="../clustering/plsa.html">
+
+
+ <b>11.2.</b>
+
+ Probabilistic Latent Semantic Analysis
+
+ </a>
+
+
+
+ </li>
+
+
+
+
+ <li class="header">Part XII - GeoSpatial Functions</li>
+
+
+
+ <li class="chapter " data-level="12.1" data-path="../geospatial/latlon.html">
+
+ <a href="../geospatial/latlon.html">
+
+
+ <b>12.1.</b>
+
+ Lat/Lon functions
+
+ </a>
+
+
+
+ </li>
+
+
+
+
+ <li class="header">Part XIII - Hivemall on Spark</li>
+
+
+
+ <li class="chapter " data-level="13.1" data-path="../spark/getting_started/">
+
+ <a href="../spark/getting_started/">
+
+
+ <b>13.1.</b>
+
+ Getting Started
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="13.1.1" data-path="../spark/getting_started/installation.html">
+
+ <a href="../spark/getting_started/installation.html">
+
+
+ <b>13.1.1.</b>
+
+ Installation
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+ <li class="chapter " data-level="13.2" data-path="../spark/binaryclass/">
+
+ <a href="../spark/binaryclass/">
+
+
+ <b>13.2.</b>
+
+ Binary Classification
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="13.2.1" data-path="../spark/binaryclass/a9a_df.html">
+
+ <a href="../spark/binaryclass/a9a_df.html">
+
+
+ <b>13.2.1.</b>
+
+ a9a tutorial for DataFrame
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="13.2.2" data-path="../spark/binaryclass/a9a_sql.html">
+
+ <a href="../spark/binaryclass/a9a_sql.html">
+
+
+ <b>13.2.2.</b>
+
+ a9a tutorial for SQL
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+ <li class="chapter " data-level="13.3" data-path="../spark/binaryclass/">
+
+ <a href="../spark/binaryclass/">
+
+
+ <b>13.3.</b>
+
+ Regression
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="13.3.1" data-path="../spark/regression/e2006_df.html">
+
+ <a href="../spark/regression/e2006_df.html">
+
+
+ <b>13.3.1.</b>
+
+ E2006-tfidf regression tutorial for DataFrame
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="13.3.2" data-path="../spark/regression/e2006_sql.html">
+
+ <a href="../spark/regression/e2006_sql.html">
+
+
+ <b>13.3.2.</b>
+
+ E2006-tfidf regression tutorial for SQL
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+ <li class="chapter " data-level="13.4" data-path="../spark/misc/misc.html">
+
+ <a href="../spark/misc/misc.html">
+
+
+ <b>13.4.</b>
+
+ Generic features
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="13.4.1" data-path="../spark/misc/topk_join.html">
+
+ <a href="../spark/misc/topk_join.html">
+
+
+ <b>13.4.1.</b>
+
+ Top-k join processing
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="13.4.2" data-path="../spark/misc/functions.html">
+
+ <a href="../spark/misc/functions.html">
+
+
+ <b>13.4.2.</b>
+
+ Other utility functions
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+
+
+
+ <li class="header">Part XIV - Hivemall on Docker</li>
+
+
+
+ <li class="chapter " data-level="14.1" data-path="../docker/getting_started.html">
+
+ <a href="../docker/getting_started.html">
+
+
+ <b>14.1.</b>
+
+ Getting Started
+
+ </a>
+
+
+
+ </li>
+
+
+
+
+ <li class="header">Part XIV - External References</li>
+
+
+
+ <li class="chapter " data-level="15.1" >
+
+ <a target="_blank" href="https://github.com/daijyc/hivemall/wiki/PigHome">
+
+
+ <b>15.1.</b>
+
+ Hivemall on Apache Pig
+
+ </a>
+
+
+
+ </li>
+
+
+
+
+ <li class="divider"></li>
+
+ <li>
+ <a href="https://www.gitbook.com" target="blank" class="gitbook-link">
+ Published with GitBook
+ </a>
+ </li>
+</ul>
+
+
+ </nav>
+
+
+ </div>
+
+ <div class="book-body">
+
+ <div class="body-inner">
+
+
+
+<div class="book-header" role="navigation">
+
+
+ <!-- Title -->
+ <h1>
+ <i class="fa fa-circle-o-notch fa-spin"></i>
+ <a href=".." >Criteo Tutorial</a>
+ </h1>
+</div>
+
+
+
+
+ <div class="page-wrapper" tabindex="-1" role="main">
+ <div class="page-inner">
+
+<div id="book-search-results">
+ <div class="search-noresults">
+
+ <section class="normal markdown-section">
+
+ <!--
+ Licensed to the Apache Software Foundation (ASF) under one
+ or more contributor license agreements. See the NOTICE file
+ distributed with this work for additional information
+ regarding copyright ownership. The ASF licenses this file
+ to you under the Apache License, Version 2.0 (the
+ "License"); you may not use this file except in compliance
+ with the License. You may obtain a copy of the License at
+
+ http://www.apache.org/licenses/LICENSE-2.0
+
+ Unless required by applicable law or agreed to in writing,
+ software distributed under the License is distributed on an
+ "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ KIND, either express or implied. See the License for the
+ specific language governing permissions and limitations
+ under the License.
+-->
+<p>This tutorial tackles <a href="https://www.kaggle.com/c/criteo-display-ad-challenge" target="_blank">Kaggle Display Advertising Challenge</a>.
+<div id="page-footer" class="localized-footer"><hr><!--
+ Licensed to the Apache Software Foundation (ASF) under one
+ or more contributor license agreements. See the NOTICE file
+ distributed with this work for additional information
+ regarding copyright ownership. The ASF licenses this file
+ to you under the Apache License, Version 2.0 (the
+ "License"); you may not use this file except in compliance
+ with the License. You may obtain a copy of the License at
+
+ http://www.apache.org/licenses/LICENSE-2.0
+
+ Unless required by applicable law or agreed to in writing,
+ software distributed under the License is distributed on an
+ "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ KIND, either express or implied. See the License for the
+ specific language governing permissions and limitations
+ under the License.
+-->
+<p><sub><font color="gray">
+Apache Hivemall is an effort undergoing incubation at The Apache Software Foundation (ASF), sponsored by the Apache Incubator.
+</font></sub></p>
+</div></p>
+
+
+ </section>
+
+ </div>
+ <div class="search-results">
+ <div class="has-results">
+
+ <h1 class="search-results-title"><span class='search-results-count'></span> results matching "<span class='search-query'></span>"</h1>
+ <ul class="search-results-list"></ul>
+
+ </div>
+ <div class="no-results">
+
+ <h1 class="search-results-title">No results matching "<span class='search-query'></span>"</h1>
+
+ </div>
+ </div>
+</div>
+
+ </div>
+ </div>
+
+ </div>
+
+
+
+
+ </div>
+
+ <script>
+ var gitbook = gitbook || [];
+ gitbook.push(function() {
+ gitbook.page.hasChanged({"page":{"title":"Criteo Tutorial","level":"6.8","depth":1,"next":{"title":"Data preparation","level":"6.8.1","depth":2,"path":"binaryclass/criteo_dataset.md","ref":"binaryclass/criteo_dataset.md","articles":[]},"previous":{"title":"Kaggle Titanic Tutorial","level":"6.7","depth":1,"path":"binaryclass/titanic_rf.md","ref":"binaryclass/titanic_rf.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":t
rue},"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/criteo.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>
+
+
+ <script src="../gitbook/gitbook.js"></script>
+ <script src="../gitbook/theme.js"></script>
+
+
+ <script src="../gitbook/gitbook-plugin-edit-link/plugin.js"></script>
+
+
+
+ <script src="../gitbook/gitbook-plugin-github/plugin.js"></script>
+
+
+
+ <script src="../gitbook/gitbook-plugin-splitter/splitter.js"></script>
+
+
+
+ <script src="../gitbook/gitbook-plugin-etoc/plugin.js"></script>
+
+
+
+ <script src="../gitbook/gitbook-plugin-toggle-chapters/toggle.js"></script>
+
+
+
+ <script src="https://cdnjs.cloudflare.com/ajax/libs/anchor-js/4.1.1/anchor.min.js"></script>
+
+
+
+ <script src="../gitbook/gitbook-plugin-anchorjs/anchor-style.js"></script>
+
+
+
+ <script src="../gitbook/gitbook-plugin-expandable-chapters/expandable-chapters.js"></script>
+
+
+
+ <script src="../gitbook/gitbook-plugin-search/search-engine.js"></script>
+
+
+
+ <script src="../gitbook/gitbook-plugin-search/search.js"></script>
+
+
+
+ <script src="../gitbook/gitbook-plugin-lunr/lunr.min.js"></script>
+
+
+
+ <script src="../gitbook/gitbook-plugin-lunr/search-lunr.js"></script>
+
+
+
+ <script src="../gitbook/gitbook-plugin-sharing/buttons.js"></script>
+
+
+
+ <script src="../gitbook/gitbook-plugin-fontsettings/fontsettings.js"></script>
+
+
+
+ <script src="../gitbook/gitbook-plugin-theme-api/theme-api.js"></script>
+
+
+
+ </body>
+</html>
+
[05/20] incubator-hivemall-site git commit: Added criteo example and
step-by-step guide for general classifier/regressor
Posted by my...@apache.org.
http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/6c6a1b42/userguide/spark/regression/e2006_sql.html
----------------------------------------------------------------------
diff --git a/userguide/spark/regression/e2006_sql.html b/userguide/spark/regression/e2006_sql.html
index ab74569..a86b0ed 100644
--- a/userguide/spark/regression/e2006_sql.html
+++ b/userguide/spark/regression/e2006_sql.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>
+
@@ -2385,7 +2451,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
<script>
var gitbook = gitbook || [];
gitbook.push(function() {
- gitbook.page.hasChanged({"page":{"title":"E2006-tfidf regression tutorial for SQL","level":"13.3.2","depth":2,"next":{"title":"Generic features","level":"13.4","depth":1,"path":"spark/misc/misc.md","ref":"spark/misc/misc.md","articles":[{"title":"Top-k join processing","level":"13.4.1","depth":2,"path":"spark/misc/topk_join.md","ref":"spark/misc/topk_join.md","articles":[]},{"title":"Other utility functions","level":"13.4.2","depth":2,"path":"spark/misc/functions.md","ref":"spark/misc/functions.md","articles":[]}]},"previous":{"title":"E2006-tfidf regression tutorial for DataFrame","level":"13.3.1","depth":2,"path":"spark/regression/e2006_df.md","ref":"spark/regression/e2006_df.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","insta
paper"]},"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":"spark/regression/e2006_sql.md","mtime":"20
17-12-11T08:48:01.150Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-06-06T09:01:20.330Z"},"basePath":"../..","book":{"language":""}});
+ gitbook.page.hasChanged({"page":{"title":"E2006-tfidf regression tutorial for SQL","level":"13.3.2","depth":2,"next":{"title":"Generic features","level":"13.4","depth":1,"path":"spark/misc/misc.md","ref":"spark/misc/misc.md","articles":[{"title":"Top-k join processing","level":"13.4.1","depth":2,"path":"spark/misc/topk_join.md","ref":"spark/misc/topk_join.md","articles":[]},{"title":"Other utility functions","level":"13.4.2","depth":2,"path":"spark/misc/functions.md","ref":"spark/misc/functions.md","articles":[]}]},"previous":{"title":"E2006-tfidf regression tutorial for DataFrame","level":"13.3.1","depth":2,"path":"spark/regression/e2006_df.md","ref":"spark/regression/e2006_df.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","insta
paper"]},"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":"spark/regression/e2006_sql.md","mtime":"20
18-08-29T08:55:00.295Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-08-31T06:54:21.013Z"},"basePath":"../..","book":{"language":""}});
});
</script>
</div>
@@ -2415,7 +2481,7 @@ 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>
[15/20] incubator-hivemall-site git commit: Added criteo example and
step-by-step guide for general classifier/regressor
Posted by my...@apache.org.
http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/6c6a1b42/userguide/binaryclass/news20_dataset.html
----------------------------------------------------------------------
diff --git a/userguide/binaryclass/news20_dataset.html b/userguide/binaryclass/news20_dataset.html
index 1f61a50..5265a72 100644
--- a/userguide/binaryclass/news20_dataset.html
+++ b/userguide/binaryclass/news20_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>
+
@@ -2347,7 +2413,7 @@ 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":"6.3.1","depth":2,"next":{"title":"Perceptron, Passive Aggressive","level":"6.3.2","depth":2,"path":"binaryclass/news20_pa.md","ref":"binaryclass/news20_pa.md","articles":[]},"previous":{"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":[]}]},"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/news20_dataset.md","mtime":"2017-12-11T08:48:01.127Z","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":"6.3.1","depth":2,"next":{"title":"Perceptron, Passive Aggressive","level":"6.3.2","depth":2,"path":"binaryclass/news20_pa.md","ref":"binaryclass/news20_pa.md","articles":[]},"previous":{"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":[]}]},"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/news20_dataset.md","mtime":"2018-08-29T08:55:00.267Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-08-31T06:54:21.013Z"},"basePath":"..","book":{"language":""}});
});
</script>
</div>
@@ -2377,7 +2443,7 @@ 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/news20_pa.html
----------------------------------------------------------------------
diff --git a/userguide/binaryclass/news20_pa.html b/userguide/binaryclass/news20_pa.html
index f99c498..7068b19 100644
--- a/userguide/binaryclass/news20_pa.html
+++ b/userguide/binaryclass/news20_pa.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>
+
@@ -2470,7 +2536,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
<script>
var gitbook = gitbook || [];
gitbook.push(function() {
- gitbook.page.hasChanged({"page":{"title":"Perceptron, Passive Aggressive","level":"6.3.2","depth":2,"next":{"title":"CW, AROW, SCW","level":"6.3.3","depth":2,"path":"binaryclass/news20_scw.md","ref":"binaryclass/news20_scw.md","articles":[]},"previous":{"title":"Data preparation","level":"6.3.1","depth":2,"path":"binaryclass/news20_dataset.md","ref":"binaryclass/news20_dataset.md","articles":[]},"dir":"ltr"},"config":{"plugins":["theme-api","edit-link","github","splitter","sitemap","etoc","callouts","toggle-chapters","anchorjs","codeblock-filename","expandable-chapters","multipart","codeblock-filename","katex","emphasize","localized-footer"],"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"pluginsConfig":{"emphasize":{},"callouts":{},"etoc":{"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"},"sho
wLevel":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/news20_pa.md","mtime":"2017-12-11T08:48:01.127Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-06-06T09:01:20.330Z"},"basePath":"..","book":{"language":""}});
+ gitbook.page.hasChanged({"page":{"title":"Perceptron, Passive Aggressive","level":"6.3.2","depth":2,"next":{"title":"CW, AROW, SCW","level":"6.3.3","depth":2,"path":"binaryclass/news20_scw.md","ref":"binaryclass/news20_scw.md","articles":[]},"previous":{"title":"Data preparation","level":"6.3.1","depth":2,"path":"binaryclass/news20_dataset.md","ref":"binaryclass/news20_dataset.md","articles":[]},"dir":"ltr"},"config":{"plugins":["theme-api","edit-link","github","splitter","sitemap","etoc","callouts","toggle-chapters","anchorjs","codeblock-filename","expandable-chapters","multipart","codeblock-filename","katex","emphasize","localized-footer"],"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"pluginsConfig":{"emphasize":{},"callouts":{},"etoc":{"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"},"sho
wLevel":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/news20_pa.md","mtime":"2018-08-29T08:55:00.268Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-08-31T06:54:21.013Z"},"basePath":"..","book":{"language":""}});
});
</script>
</div>
@@ -2500,7 +2566,7 @@ 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/news20_rf.html
----------------------------------------------------------------------
diff --git a/userguide/binaryclass/news20_rf.html b/userguide/binaryclass/news20_rf.html
index 57310b2..9529d35 100644
--- a/userguide/binaryclass/news20_rf.html
+++ b/userguide/binaryclass/news20_rf.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>
+
@@ -2339,7 +2405,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
<script>
var gitbook = gitbook || [];
gitbook.push(function() {
- gitbook.page.hasChanged({"page":{"title":"Random Forest","level":"6.3.5","depth":2,"next":{"title":"KDD2010a Tutorial","level":"6.4","depth":1,"path":"binaryclass/kdd2010a.md","ref":"binaryclass/kdd2010a.md","articles":[{"title":"Data preparation","level":"6.4.1","depth":2,"path":"binaryclass/kdd2010a_dataset.md","ref":"binaryclass/kdd2010a_dataset.md","articles":[]},{"title":"PA, CW, AROW, SCW","level":"6.4.2","depth":2,"path":"binaryclass/kdd2010a_scw.md","ref":"binaryclass/kdd2010a_scw.md","articles":[]}]},"previous":{"title":"AdaGradRDA, AdaGrad, AdaDelta","level":"6.3.4","depth":2,"path":"binaryclass/news20_adagrad.md","ref":"binaryclass/news20_adagrad.md","articles":[]},"dir":"ltr"},"config":{"plugins":["theme-api","edit-link","github","splitter","sitemap","etoc","callouts","toggle-chapters","anchorjs","codeblock-filename","expandable-chapters","multipart","codeblock-filename","katex","emphasize","localized-footer"],"styles":{"website":"styles/website.css","pdf":"s
tyles/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/news20_rf.md","mtime":"2018-04-03T05:00:35.958Z","t
ype":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-06-06T09:01:20.330Z"},"basePath":"..","book":{"language":""}});
+ gitbook.page.hasChanged({"page":{"title":"Random Forest","level":"6.3.5","depth":2,"next":{"title":"KDD2010a Tutorial","level":"6.4","depth":1,"path":"binaryclass/kdd2010a.md","ref":"binaryclass/kdd2010a.md","articles":[{"title":"Data preparation","level":"6.4.1","depth":2,"path":"binaryclass/kdd2010a_dataset.md","ref":"binaryclass/kdd2010a_dataset.md","articles":[]},{"title":"PA, CW, AROW, SCW","level":"6.4.2","depth":2,"path":"binaryclass/kdd2010a_scw.md","ref":"binaryclass/kdd2010a_scw.md","articles":[]}]},"previous":{"title":"AdaGradRDA, AdaGrad, AdaDelta","level":"6.3.4","depth":2,"path":"binaryclass/news20_adagrad.md","ref":"binaryclass/news20_adagrad.md","articles":[]},"dir":"ltr"},"config":{"plugins":["theme-api","edit-link","github","splitter","sitemap","etoc","callouts","toggle-chapters","anchorjs","codeblock-filename","expandable-chapters","multipart","codeblock-filename","katex","emphasize","localized-footer"],"styles":{"website":"styles/website.css","pdf":"s
tyles/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/news20_rf.md","mtime":"2018-08-29T08:55:00.268Z","t
ype":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-08-31T06:54:21.013Z"},"basePath":"..","book":{"language":""}});
});
</script>
</div>
@@ -2369,7 +2435,7 @@ 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/news20_scw.html
----------------------------------------------------------------------
diff --git a/userguide/binaryclass/news20_scw.html b/userguide/binaryclass/news20_scw.html
index 4c8f9bd..bc96cc2 100644
--- a/userguide/binaryclass/news20_scw.html
+++ b/userguide/binaryclass/news20_scw.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>
+
@@ -2529,7 +2595,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
<script>
var gitbook = gitbook || [];
gitbook.push(function() {
- gitbook.page.hasChanged({"page":{"title":"CW, AROW, SCW","level":"6.3.3","depth":2,"next":{"title":"AdaGradRDA, AdaGrad, AdaDelta","level":"6.3.4","depth":2,"path":"binaryclass/news20_adagrad.md","ref":"binaryclass/news20_adagrad.md","articles":[]},"previous":{"title":"Perceptron, Passive Aggressive","level":"6.3.2","depth":2,"path":"binaryclass/news20_pa.md","ref":"binaryclass/news20_pa.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":"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/news20_scw.md","mtime":"2017-12-11T08:48:01.128Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-06-06T09:01:20.330Z"},"basePath":"..","book":{"language":""}});
+ gitbook.page.hasChanged({"page":{"title":"CW, AROW, SCW","level":"6.3.3","depth":2,"next":{"title":"AdaGradRDA, AdaGrad, AdaDelta","level":"6.3.4","depth":2,"path":"binaryclass/news20_adagrad.md","ref":"binaryclass/news20_adagrad.md","articles":[]},"previous":{"title":"Perceptron, Passive Aggressive","level":"6.3.2","depth":2,"path":"binaryclass/news20_pa.md","ref":"binaryclass/news20_pa.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":"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/news20_scw.md","mtime":"2018-08-29T08:55:00.268Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-08-31T06:54:21.013Z"},"basePath":"..","book":{"language":""}});
});
</script>
</div>
@@ -2559,7 +2625,7 @@ 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/titanic_rf.html
----------------------------------------------------------------------
diff --git a/userguide/binaryclass/titanic_rf.html b/userguide/binaryclass/titanic_rf.html
index 3ceda1d..7227c5c 100644
--- a/userguide/binaryclass/titanic_rf.html
+++ b/userguide/binaryclass/titanic_rf.html
@@ -97,7 +97,7 @@
<link rel="shortcut icon" href="../gitbook/images/favicon.ico" type="image/x-icon">
- <link rel="next" href="../multiclass/news20.html" />
+ <link rel="next" href="criteo.html" />
<link rel="prev" href="webspam_scw.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>
+
@@ -2613,7 +2679,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
<script>
var gitbook = gitbook || [];
gitbook.push(function() {
- gitbook.page.hasChanged({"page":{"title":"Kaggle Titanic Tutorial","level":"6.7","depth":1,"next":{"title":"News20 Multiclass Tutorial","level":"7.1","depth":1,"path":"multiclass/news20.md","ref":"multiclass/news20.md","articles":[{"title":"Data preparation","level":"7.1.1","depth":2,"path":"multiclass/news20_dataset.md","ref":"multiclass/news20_dataset.md","articles":[]},{"title":"Data preparation for one-vs-the-rest classifiers","level":"7.1.2","depth":2,"path":"multiclass/news20_one-vs-the-rest_dataset.md","ref":"multiclass/news20_one-vs-the-rest_dataset.md","articles":[]},{"title":"PA","level":"7.1.3","depth":2,"path":"multiclass/news20_pa.md","ref":"multiclass/news20_pa.md","articles":[]},{"title":"CW, AROW, SCW","level":"7.1.4","depth":2,"path":"multiclass/news20_scw.md","ref":"multiclass/news20_scw.md","articles":[]},{"title":"Ensemble learning","level":"7.1.5","depth":2,"path":"multiclass/news20_ensemble.md","ref":"multiclass/news20_ensemble.md","articles":[]},{"
title":"one-vs-the-rest classifier","level":"7.1.6","depth":2,"path":"multiclass/news20_one-vs-the-rest.md","ref":"multiclass/news20_one-vs-the-rest.md","articles":[]}]},"previous":{"title":"PA1, AROW, SCW","level":"6.6.2","depth":2,"path":"binaryclass/webspam_scw.md","ref":"binaryclass/webspam_scw.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/incu
bator-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/titanic_rf.md","mtime":"2018-04-27T10:39:21.968Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-06-06T09:01:20.330Z"},"basePath":"..","book":{"language":""}});
+ gitbook.page.hasChanged({"page":{"title":"Kaggle Titanic Tutorial","level":"6.7","depth":1,"next":{"title":"Criteo Tutorial","level":"6.8","depth":1,"path":"binaryclass/criteo.md","ref":"binaryclass/criteo.md","articles":[{"title":"Data preparation","level":"6.8.1","depth":2,"path":"binaryclass/criteo_dataset.md","ref":"binaryclass/criteo_dataset.md","articles":[]},{"title":"Field-Aware Factorization Machines","level":"6.8.2","depth":2,"path":"binaryclass/criteo_ffm.md","ref":"binaryclass/criteo_ffm.md","articles":[]}]},"previous":{"title":"PA1, AROW, SCW","level":"6.6.2","depth":2,"path":"binaryclass/webspam_scw.md","ref":"binaryclass/webspam_scw.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/titanic_rf.md","mtime":"2018-08-29T08:55:00.268Z","type":"mar
kdown"},"gitbook":{"version":"3.2.3","time":"2018-08-31T06:54:21.013Z"},"basePath":"..","book":{"language":""}});
});
</script>
</div>
@@ -2643,7 +2709,7 @@ 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/webspam.html
----------------------------------------------------------------------
diff --git a/userguide/binaryclass/webspam.html b/userguide/binaryclass/webspam.html
index e8da8cb..ddb50ee 100644
--- a/userguide/binaryclass/webspam.html
+++ b/userguide/binaryclass/webspam.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":"Webspam Tutorial","level":"6.6","depth":1,"next":{"title":"Data pareparation","level":"6.6.1","depth":2,"path":"binaryclass/webspam_dataset.md","ref":"binaryclass/webspam_dataset.md","articles":[]},"previous":{"title":"AROW","level":"6.5.2","depth":2,"path":"binaryclass/kdd2010b_arow.md","ref":"binaryclass/kdd2010b_arow.md","articles":[]},"dir":"ltr"},"config":{"plugins":["theme-api","edit-link","github","splitter","sitemap","etoc","callouts","toggle-chapters","anchorjs","codeblock-filename","expandable-chapters","multipart","codeblock-filename","katex","emphasize","localized-footer"],"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"pluginsConfig":{"emphasize":{},"callouts":{},"etoc":{"h2lb":3,"header":1,"maxdepth":3,"mindepth":1,"notoc":true},"github":{"url":"https://github.com/apache/incubator-hivemall/"},"sp
litter":{},"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},"a
nchorjs":{"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/webspam.md","mtime":"2017-12-11T08:48:01.128Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-06-06T09:01:20.330Z"},"basePath":"..","book":{"language":""}});
+ gitbook.page.hasChanged({"page":{"title":"Webspam Tutorial","level":"6.6","depth":1,"next":{"title":"Data pareparation","level":"6.6.1","depth":2,"path":"binaryclass/webspam_dataset.md","ref":"binaryclass/webspam_dataset.md","articles":[]},"previous":{"title":"AROW","level":"6.5.2","depth":2,"path":"binaryclass/kdd2010b_arow.md","ref":"binaryclass/kdd2010b_arow.md","articles":[]},"dir":"ltr"},"config":{"plugins":["theme-api","edit-link","github","splitter","sitemap","etoc","callouts","toggle-chapters","anchorjs","codeblock-filename","expandable-chapters","multipart","codeblock-filename","katex","emphasize","localized-footer"],"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"pluginsConfig":{"emphasize":{},"callouts":{},"etoc":{"h2lb":3,"header":1,"maxdepth":3,"mindepth":1,"notoc":true},"github":{"url":"https://github.com/apache/incubator-hivemall/"},"sp
litter":{},"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},"a
nchorjs":{"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/webspam.md","mtime":"2018-08-29T08:55:00.268Z","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/webspam_dataset.html
----------------------------------------------------------------------
diff --git a/userguide/binaryclass/webspam_dataset.html b/userguide/binaryclass/webspam_dataset.html
index 1047a0f..8607a06 100644
--- a/userguide/binaryclass/webspam_dataset.html
+++ b/userguide/binaryclass/webspam_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>
+
@@ -2340,7 +2406,7 @@ 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 pareparation","level":"6.6.1","depth":2,"next":{"title":"PA1, AROW, SCW","level":"6.6.2","depth":2,"path":"binaryclass/webspam_scw.md","ref":"binaryclass/webspam_scw.md","articles":[]},"previous":{"title":"Webspam Tutorial","level":"6.6","depth":1,"path":"binaryclass/webspam.md","ref":"binaryclass/webspam.md","articles":[{"title":"Data pareparation","level":"6.6.1","depth":2,"path":"binaryclass/webspam_dataset.md","ref":"binaryclass/webspam_dataset.md","articles":[]},{"title":"PA1, AROW, SCW","level":"6.6.2","depth":2,"path":"binaryclass/webspam_scw.md","ref":"binaryclass/webspam_scw.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":"sty
les/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":"ht
tps://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/webspam_dataset.md","mtime":"2017-12-11T08:48:01.128Z","type":"markdown"},"gi
tbook":{"version":"3.2.3","time":"2018-06-06T09:01:20.330Z"},"basePath":"..","book":{"language":""}});
+ gitbook.page.hasChanged({"page":{"title":"Data pareparation","level":"6.6.1","depth":2,"next":{"title":"PA1, AROW, SCW","level":"6.6.2","depth":2,"path":"binaryclass/webspam_scw.md","ref":"binaryclass/webspam_scw.md","articles":[]},"previous":{"title":"Webspam Tutorial","level":"6.6","depth":1,"path":"binaryclass/webspam.md","ref":"binaryclass/webspam.md","articles":[{"title":"Data pareparation","level":"6.6.1","depth":2,"path":"binaryclass/webspam_dataset.md","ref":"binaryclass/webspam_dataset.md","articles":[]},{"title":"PA1, AROW, SCW","level":"6.6.2","depth":2,"path":"binaryclass/webspam_scw.md","ref":"binaryclass/webspam_scw.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":"sty
les/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":"ht
tps://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/webspam_dataset.md","mtime":"2018-08-29T08:55:00.269Z","type":"markdown"},"gi
tbook":{"version":"3.2.3","time":"2018-08-31T06:54:21.013Z"},"basePath":"..","book":{"language":""}});
});
</script>
</div>
@@ -2370,7 +2436,7 @@ 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/webspam_scw.html
----------------------------------------------------------------------
diff --git a/userguide/binaryclass/webspam_scw.html b/userguide/binaryclass/webspam_scw.html
index 913292d..348e24e 100644
--- a/userguide/binaryclass/webspam_scw.html
+++ b/userguide/binaryclass/webspam_scw.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>
+
@@ -2400,7 +2466,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
<script>
var gitbook = gitbook || [];
gitbook.push(function() {
- gitbook.page.hasChanged({"page":{"title":"PA1, AROW, SCW","level":"6.6.2","depth":2,"next":{"title":"Kaggle Titanic Tutorial","level":"6.7","depth":1,"path":"binaryclass/titanic_rf.md","ref":"binaryclass/titanic_rf.md","articles":[]},"previous":{"title":"Data pareparation","level":"6.6.1","depth":2,"path":"binaryclass/webspam_dataset.md","ref":"binaryclass/webspam_dataset.md","articles":[]},"dir":"ltr"},"config":{"plugins":["theme-api","edit-link","github","splitter","sitemap","etoc","callouts","toggle-chapters","anchorjs","codeblock-filename","expandable-chapters","multipart","codeblock-filename","katex","emphasize","localized-footer"],"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"pluginsConfig":{"emphasize":{},"callouts":{},"etoc":{"h2lb":3,"header":1,"maxdepth":3,"mindepth":1,"notoc":true},"github":{"url":"https://github.com/apache/incubator-hive
mall/"},"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"},"showLeve
l":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/webspam_scw.md","mtime":"2017-12-11T08:48:01.128Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-06-06T09:01:20.330Z"},"basePath":"..","book":{"language":""}});
+ gitbook.page.hasChanged({"page":{"title":"PA1, AROW, SCW","level":"6.6.2","depth":2,"next":{"title":"Kaggle Titanic Tutorial","level":"6.7","depth":1,"path":"binaryclass/titanic_rf.md","ref":"binaryclass/titanic_rf.md","articles":[]},"previous":{"title":"Data pareparation","level":"6.6.1","depth":2,"path":"binaryclass/webspam_dataset.md","ref":"binaryclass/webspam_dataset.md","articles":[]},"dir":"ltr"},"config":{"plugins":["theme-api","edit-link","github","splitter","sitemap","etoc","callouts","toggle-chapters","anchorjs","codeblock-filename","expandable-chapters","multipart","codeblock-filename","katex","emphasize","localized-footer"],"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"pluginsConfig":{"emphasize":{},"callouts":{},"etoc":{"h2lb":3,"header":1,"maxdepth":3,"mindepth":1,"notoc":true},"github":{"url":"https://github.com/apache/incubator-hive
mall/"},"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"},"showLeve
l":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/webspam_scw.md","mtime":"2018-08-29T08:55:00.269Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-08-31T06:54:21.013Z"},"basePath":"..","book":{"language":""}});
});
</script>
</div>
@@ -2430,7 +2496,7 @@ 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/clustering/lda.html
----------------------------------------------------------------------
diff --git a/userguide/clustering/lda.html b/userguide/clustering/lda.html
index abc1e3c..63682b8 100644
--- a/userguide/clustering/lda.html
+++ b/userguide/clustering/lda.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>
+
@@ -2564,7 +2630,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
<script>
var gitbook = gitbook || [];
gitbook.push(function() {
- gitbook.page.hasChanged({"page":{"title":"Latent Dirichlet Allocation","level":"11.1","depth":1,"next":{"title":"Probabilistic Latent Semantic Analysis","level":"11.2","depth":1,"path":"clustering/plsa.md","ref":"clustering/plsa.md","articles":[]},"previous":{"title":"ChangeFinder: Detecting Outlier and Change-Point Simultaneously","level":"10.3","depth":1,"path":"anomaly/changefinder.md","ref":"anomaly/changefinder.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":{"u
rl":"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/ebo
ok.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":"clustering/lda.md","mtime":"2017-12-11T08:48:01.129Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-06-06T09:01:20.330Z"},"basePath":"..","book":{"language":""}});
+ gitbook.page.hasChanged({"page":{"title":"Latent Dirichlet Allocation","level":"11.1","depth":1,"next":{"title":"Probabilistic Latent Semantic Analysis","level":"11.2","depth":1,"path":"clustering/plsa.md","ref":"clustering/plsa.md","articles":[]},"previous":{"title":"ChangeFinder: Detecting Outlier and Change-Point Simultaneously","level":"10.3","depth":1,"path":"anomaly/changefinder.md","ref":"anomaly/changefinder.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":{"u
rl":"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/ebo
ok.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":"clustering/lda.md","mtime":"2018-08-29T08:55:00.269Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-08-31T06:54:21.013Z"},"basePath":"..","book":{"language":""}});
});
</script>
</div>
@@ -2594,7 +2660,7 @@ 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>
[11/20] incubator-hivemall-site git commit: Added criteo example and
step-by-step guide for general classifier/regressor
Posted by my...@apache.org.
http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/6c6a1b42/userguide/misc/generic_funcs.html
----------------------------------------------------------------------
diff --git a/userguide/misc/generic_funcs.html b/userguide/misc/generic_funcs.html
index d7972f6..7b596ca 100644
--- a/userguide/misc/generic_funcs.html
+++ b/userguide/misc/generic_funcs.html
@@ -861,9 +861,9 @@
- <li class="chapter " data-level="5.1" data-path="prediction.html">
+ <li class="chapter " data-level="5.1" data-path="../supervised_learning/prediction.html">
- <a href="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>
+
@@ -2862,7 +2928,7 @@ 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 Generic Hivemall Functions","level":"2.1","depth":1,"next":{"title":"Efficient Top-K Query Processing","level":"2.2","depth":1,"path":"misc/topk.md","ref":"misc/topk.md","articles":[]},"previous":{"title":"Map-side join causes ClassCastException on Tez","level":"1.6.5","depth":2,"path":"troubleshooting/mapjoin_classcastex.md","ref":"troubleshooting/mapjoin_classcastex.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/eb
ook.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":"misc/generic_funcs.md","mtime":"2018-06-06T08:56:30.932Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-06-06T09:01:20.330Z"},"basePath":"..","book":{"language":""}});
+ gitbook.page.hasChanged({"page":{"title":"List of Generic Hivemall Functions","level":"2.1","depth":1,"next":{"title":"Efficient Top-K Query Processing","level":"2.2","depth":1,"path":"misc/topk.md","ref":"misc/topk.md","articles":[]},"previous":{"title":"Map-side join causes ClassCastException on Tez","level":"1.6.5","depth":2,"path":"troubleshooting/mapjoin_classcastex.md","ref":"troubleshooting/mapjoin_classcastex.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/eb
ook.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":"misc/generic_funcs.md","mtime":"2018-08-29T08:55:00.276Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-08-31T06:54:21.013Z"},"basePath":"..","book":{"language":""}});
});
</script>
</div>
@@ -2892,7 +2958,7 @@ 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/misc/tokenizer.html
----------------------------------------------------------------------
diff --git a/userguide/misc/tokenizer.html b/userguide/misc/tokenizer.html
index d445f24..2ba3d54 100644
--- a/userguide/misc/tokenizer.html
+++ b/userguide/misc/tokenizer.html
@@ -861,9 +861,9 @@
- <li class="chapter " data-level="5.1" data-path="prediction.html">
+ <li class="chapter " data-level="5.1" data-path="../supervised_learning/prediction.html">
- <a href="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>
+
@@ -2342,7 +2408,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
<script>
var gitbook = gitbook || [];
gitbook.push(function() {
- gitbook.page.hasChanged({"page":{"title":"Text Tokenizer","level":"2.3","depth":1,"next":{"title":"Approximate Aggregate Functions","level":"2.4","depth":1,"path":"misc/approx.md","ref":"misc/approx.md","articles":[]},"previous":{"title":"Efficient Top-K Query Processing","level":"2.2","depth":1,"path":"misc/topk.md","ref":"misc/topk.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":{},"down
loadpdf":{"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":"misc/tokenizer.md","mtime":"2017-12-26T05:23:21.742Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-06-06T09:01:20.330Z"},"basePath":"..","book":{"language":""}});
+ gitbook.page.hasChanged({"page":{"title":"Text Tokenizer","level":"2.3","depth":1,"next":{"title":"Approximate Aggregate Functions","level":"2.4","depth":1,"path":"misc/approx.md","ref":"misc/approx.md","articles":[]},"previous":{"title":"Efficient Top-K Query Processing","level":"2.2","depth":1,"path":"misc/topk.md","ref":"misc/topk.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":{},"down
loadpdf":{"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":"misc/tokenizer.md","mtime":"2018-08-29T08:55:00.276Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-08-31T06:54:21.013Z"},"basePath":"..","book":{"language":""}});
});
</script>
</div>
@@ -2372,7 +2438,7 @@ 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/misc/topk.html
----------------------------------------------------------------------
diff --git a/userguide/misc/topk.html b/userguide/misc/topk.html
index 532b0b0..6ff1d6e 100644
--- a/userguide/misc/topk.html
+++ b/userguide/misc/topk.html
@@ -861,9 +861,9 @@
- <li class="chapter " data-level="5.1" data-path="prediction.html">
+ <li class="chapter " data-level="5.1" data-path="../supervised_learning/prediction.html">
- <a href="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>
+
@@ -3057,7 +3123,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
<script>
var gitbook = gitbook || [];
gitbook.push(function() {
- gitbook.page.hasChanged({"page":{"title":"Efficient Top-K Query Processing","level":"2.2","depth":1,"next":{"title":"Text Tokenizer","level":"2.3","depth":1,"path":"misc/tokenizer.md","ref":"misc/tokenizer.md","articles":[]},"previous":{"title":"List of Generic Hivemall Functions","level":"2.1","depth":1,"path":"misc/generic_funcs.md","ref":"misc/generic_funcs.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/"},"spl
itter":{},"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},"an
chorjs":{"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":"misc/topk.md","mtime":"2017-12-11T08:48:01.135Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-06-06T09:01:20.330Z"},"basePath":"..","book":{"language":""}});
+ gitbook.page.hasChanged({"page":{"title":"Efficient Top-K Query Processing","level":"2.2","depth":1,"next":{"title":"Text Tokenizer","level":"2.3","depth":1,"path":"misc/tokenizer.md","ref":"misc/tokenizer.md","articles":[]},"previous":{"title":"List of Generic Hivemall Functions","level":"2.1","depth":1,"path":"misc/generic_funcs.md","ref":"misc/generic_funcs.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/"},"spl
itter":{},"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},"an
chorjs":{"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":"misc/topk.md","mtime":"2018-08-29T08:55:00.277Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-08-31T06:54:21.013Z"},"basePath":"..","book":{"language":""}});
});
</script>
</div>
@@ -3087,7 +3153,7 @@ 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/multiclass/iris.html
----------------------------------------------------------------------
diff --git a/userguide/multiclass/iris.html b/userguide/multiclass/iris.html
index 102b5de..289f8a2 100644
--- a/userguide/multiclass/iris.html
+++ b/userguide/multiclass/iris.html
@@ -861,9 +861,9 @@
- <li class="chapter " data-level="5.1" data-path="../misc/prediction.html">
+ <li class="chapter " data-level="5.1" data-path="../supervised_learning/prediction.html">
- <a href="../misc/prediction.html">
+ <a href="../supervised_learning/prediction.html">
<b>5.1.</b>
@@ -876,6 +876,21 @@
</li>
+ <li class="chapter " data-level="5.2" data-path="../supervised_learning/tutorial.html">
+
+ <a href="../supervised_learning/tutorial.html">
+
+
+ <b>5.2.</b>
+
+ Step-by-Step Tutorial on Supervised Learning
+
+ </a>
+
+
+
+ </li>
+
@@ -1228,6 +1243,57 @@
</li>
+ <li class="chapter " data-level="6.8" data-path="../binaryclass/criteo.html">
+
+ <a href="../binaryclass/criteo.html">
+
+
+ <b>6.8.</b>
+
+ Criteo Tutorial
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="6.8.1" data-path="../binaryclass/criteo_dataset.html">
+
+ <a href="../binaryclass/criteo_dataset.html">
+
+
+ <b>6.8.1.</b>
+
+ Data preparation
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="6.8.2" data-path="../binaryclass/criteo_ffm.html">
+
+ <a href="../binaryclass/criteo_ffm.html">
+
+
+ <b>6.8.2.</b>
+
+ Field-Aware Factorization Machines
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
@@ -2270,7 +2336,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
<script>
var gitbook = gitbook || [];
gitbook.push(function() {
- gitbook.page.hasChanged({"page":{"title":"Iris Tutorial","level":"7.2","depth":1,"next":{"title":"Data preparation","level":"7.2.1","depth":2,"path":"multiclass/iris_dataset.md","ref":"multiclass/iris_dataset.md","articles":[]},"previous":{"title":"one-vs-the-rest classifier","level":"7.1.6","depth":2,"path":"multiclass/news20_one-vs-the-rest.md","ref":"multiclass/news20_one-vs-the-rest.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":"multiclass/iris.md","mtime":"2017-12-11T08:48:01.136Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-06-06T09:01:20.330Z"},"basePath":"..","book":{"language":""}});
+ gitbook.page.hasChanged({"page":{"title":"Iris Tutorial","level":"7.2","depth":1,"next":{"title":"Data preparation","level":"7.2.1","depth":2,"path":"multiclass/iris_dataset.md","ref":"multiclass/iris_dataset.md","articles":[]},"previous":{"title":"one-vs-the-rest classifier","level":"7.1.6","depth":2,"path":"multiclass/news20_one-vs-the-rest.md","ref":"multiclass/news20_one-vs-the-rest.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":"multiclass/iris.md","mtime":"2018-08-29T08:55:00.277Z","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/multiclass/iris_dataset.html
----------------------------------------------------------------------
diff --git a/userguide/multiclass/iris_dataset.html b/userguide/multiclass/iris_dataset.html
index 6fa0d7a..45d544e 100644
--- a/userguide/multiclass/iris_dataset.html
+++ b/userguide/multiclass/iris_dataset.html
@@ -861,9 +861,9 @@
- <li class="chapter " data-level="5.1" data-path="../misc/prediction.html">
+ <li class="chapter " data-level="5.1" data-path="../supervised_learning/prediction.html">
- <a href="../misc/prediction.html">
+ <a href="../supervised_learning/prediction.html">
<b>5.1.</b>
@@ -876,6 +876,21 @@
</li>
+ <li class="chapter " data-level="5.2" data-path="../supervised_learning/tutorial.html">
+
+ <a href="../supervised_learning/tutorial.html">
+
+
+ <b>5.2.</b>
+
+ Step-by-Step Tutorial on Supervised Learning
+
+ </a>
+
+
+
+ </li>
+
@@ -1228,6 +1243,57 @@
</li>
+ <li class="chapter " data-level="6.8" data-path="../binaryclass/criteo.html">
+
+ <a href="../binaryclass/criteo.html">
+
+
+ <b>6.8.</b>
+
+ Criteo Tutorial
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="6.8.1" data-path="../binaryclass/criteo_dataset.html">
+
+ <a href="../binaryclass/criteo_dataset.html">
+
+
+ <b>6.8.1.</b>
+
+ Data preparation
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="6.8.2" data-path="../binaryclass/criteo_ffm.html">
+
+ <a href="../binaryclass/criteo_ffm.html">
+
+
+ <b>6.8.2.</b>
+
+ Field-Aware Factorization Machines
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
@@ -2386,7 +2452,7 @@ 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":"7.2.1","depth":2,"next":{"title":"SCW","level":"7.2.2","depth":2,"path":"multiclass/iris_scw.md","ref":"multiclass/iris_scw.md","articles":[]},"previous":{"title":"Iris Tutorial","level":"7.2","depth":1,"path":"multiclass/iris.md","ref":"multiclass/iris.md","articles":[{"title":"Data preparation","level":"7.2.1","depth":2,"path":"multiclass/iris_dataset.md","ref":"multiclass/iris_dataset.md","articles":[]},{"title":"SCW","level":"7.2.2","depth":2,"path":"multiclass/iris_scw.md","ref":"multiclass/iris_scw.md","articles":[]},{"title":"Random Forest","level":"7.2.3","depth":2,"path":"multiclass/iris_randomforest.md","ref":"multiclass/iris_randomforest.md","articles":[]}]},"dir":"ltr"},"config":{"plugins":["theme-api","edit-link","github","splitter","sitemap","etoc","callouts","toggle-chapters","anchorjs","codeblock-filename","expandable-chapters","multipart","codeblock-filename","katex","emphasize","locali
zed-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":["fa
cebook","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":"m
ulticlass/iris_dataset.md","mtime":"2017-12-11T08:48:01.136Z","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":"7.2.1","depth":2,"next":{"title":"SCW","level":"7.2.2","depth":2,"path":"multiclass/iris_scw.md","ref":"multiclass/iris_scw.md","articles":[]},"previous":{"title":"Iris Tutorial","level":"7.2","depth":1,"path":"multiclass/iris.md","ref":"multiclass/iris.md","articles":[{"title":"Data preparation","level":"7.2.1","depth":2,"path":"multiclass/iris_dataset.md","ref":"multiclass/iris_dataset.md","articles":[]},{"title":"SCW","level":"7.2.2","depth":2,"path":"multiclass/iris_scw.md","ref":"multiclass/iris_scw.md","articles":[]},{"title":"Random Forest","level":"7.2.3","depth":2,"path":"multiclass/iris_randomforest.md","ref":"multiclass/iris_randomforest.md","articles":[]}]},"dir":"ltr"},"config":{"plugins":["theme-api","edit-link","github","splitter","sitemap","etoc","callouts","toggle-chapters","anchorjs","codeblock-filename","expandable-chapters","multipart","codeblock-filename","katex","emphasize","locali
zed-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":["fa
cebook","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":"m
ulticlass/iris_dataset.md","mtime":"2018-08-29T08:55:00.277Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-08-31T06:54:21.013Z"},"basePath":"..","book":{"language":""}});
});
</script>
</div>
@@ -2416,7 +2482,7 @@ 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/multiclass/iris_randomforest.html
----------------------------------------------------------------------
diff --git a/userguide/multiclass/iris_randomforest.html b/userguide/multiclass/iris_randomforest.html
index bc654eb..05773d3 100644
--- a/userguide/multiclass/iris_randomforest.html
+++ b/userguide/multiclass/iris_randomforest.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>
+
@@ -2631,7 +2697,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
<script>
var gitbook = gitbook || [];
gitbook.push(function() {
- gitbook.page.hasChanged({"page":{"title":"Random Forest","level":"7.2.3","depth":2,"next":{"title":"Regression","level":"8.1","depth":1,"path":"regression/general.md","ref":"regression/general.md","articles":[]},"previous":{"title":"SCW","level":"7.2.2","depth":2,"path":"multiclass/iris_scw.md","ref":"multiclass/iris_scw.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":{"ba
se":"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(.cal
lout) > 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":"multiclass/iris_randomforest.md","mtime":"2018-04-27T10:39:21.969Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-06-06T09:01:20.330Z"},"basePath":"..","book":{"language":""}});
+ gitbook.page.hasChanged({"page":{"title":"Random Forest","level":"7.2.3","depth":2,"next":{"title":"Regression","level":"8.1","depth":1,"path":"regression/general.md","ref":"regression/general.md","articles":[]},"previous":{"title":"SCW","level":"7.2.2","depth":2,"path":"multiclass/iris_scw.md","ref":"multiclass/iris_scw.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":{"ba
se":"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(.cal
lout) > 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":"multiclass/iris_randomforest.md","mtime":"2018-08-29T08:55:00.278Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-08-31T06:54:21.013Z"},"basePath":"..","book":{"language":""}});
});
</script>
</div>
@@ -2661,7 +2727,7 @@ 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/multiclass/iris_scw.html
----------------------------------------------------------------------
diff --git a/userguide/multiclass/iris_scw.html b/userguide/multiclass/iris_scw.html
index c60413a..41c2f96 100644
--- a/userguide/multiclass/iris_scw.html
+++ b/userguide/multiclass/iris_scw.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>
+
@@ -2324,7 +2390,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
<script>
var gitbook = gitbook || [];
gitbook.push(function() {
- gitbook.page.hasChanged({"page":{"title":"SCW","level":"7.2.2","depth":2,"next":{"title":"Random Forest","level":"7.2.3","depth":2,"path":"multiclass/iris_randomforest.md","ref":"multiclass/iris_randomforest.md","articles":[]},"previous":{"title":"Data preparation","level":"7.2.1","depth":2,"path":"multiclass/iris_dataset.md","ref":"multiclass/iris_dataset.md","articles":[]},"dir":"ltr"},"config":{"plugins":["theme-api","edit-link","github","splitter","sitemap","etoc","callouts","toggle-chapters","anchorjs","codeblock-filename","expandable-chapters","multipart","codeblock-filename","katex","emphasize","localized-footer"],"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"pluginsConfig":{"emphasize":{},"callouts":{},"etoc":{"h2lb":3,"header":1,"maxdepth":3,"mindepth":1,"notoc":true},"github":{"url":"https://github.com/apache/incubator-hivemall/"},"splitte
r":{},"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},"anchor
js":{"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":"multiclass/iris_scw.md","mtime":"2017-12-11T08:48:01.136Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-06-06T09:01:20.330Z"},"basePath":"..","book":{"language":""}});
+ gitbook.page.hasChanged({"page":{"title":"SCW","level":"7.2.2","depth":2,"next":{"title":"Random Forest","level":"7.2.3","depth":2,"path":"multiclass/iris_randomforest.md","ref":"multiclass/iris_randomforest.md","articles":[]},"previous":{"title":"Data preparation","level":"7.2.1","depth":2,"path":"multiclass/iris_dataset.md","ref":"multiclass/iris_dataset.md","articles":[]},"dir":"ltr"},"config":{"plugins":["theme-api","edit-link","github","splitter","sitemap","etoc","callouts","toggle-chapters","anchorjs","codeblock-filename","expandable-chapters","multipart","codeblock-filename","katex","emphasize","localized-footer"],"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"pluginsConfig":{"emphasize":{},"callouts":{},"etoc":{"h2lb":3,"header":1,"maxdepth":3,"mindepth":1,"notoc":true},"github":{"url":"https://github.com/apache/incubator-hivemall/"},"splitte
r":{},"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},"anchor
js":{"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":"multiclass/iris_scw.md","mtime":"2018-08-29T08:55:00.278Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-08-31T06:54:21.013Z"},"basePath":"..","book":{"language":""}});
});
</script>
</div>
@@ -2354,7 +2420,7 @@ 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/multiclass/news20.html
----------------------------------------------------------------------
diff --git a/userguide/multiclass/news20.html b/userguide/multiclass/news20.html
index 2622f8e..d0fead0 100644
--- a/userguide/multiclass/news20.html
+++ b/userguide/multiclass/news20.html
@@ -100,7 +100,7 @@
<link rel="next" href="news20_dataset.html" />
- <link rel="prev" href="../binaryclass/titanic_rf.html" />
+ <link rel="prev" href="../binaryclass/criteo_ffm.html" />
</head>
@@ -861,9 +861,9 @@
- <li class="chapter " data-level="5.1" data-path="../misc/prediction.html">
+ <li class="chapter " data-level="5.1" data-path="../supervised_learning/prediction.html">
- <a href="../misc/prediction.html">
+ <a href="../supervised_learning/prediction.html">
<b>5.1.</b>
@@ -876,6 +876,21 @@
</li>
+ <li class="chapter " data-level="5.2" data-path="../supervised_learning/tutorial.html">
+
+ <a href="../supervised_learning/tutorial.html">
+
+
+ <b>5.2.</b>
+
+ Step-by-Step Tutorial on Supervised Learning
+
+ </a>
+
+
+
+ </li>
+
@@ -1228,6 +1243,57 @@
</li>
+ <li class="chapter " data-level="6.8" data-path="../binaryclass/criteo.html">
+
+ <a href="../binaryclass/criteo.html">
+
+
+ <b>6.8.</b>
+
+ Criteo Tutorial
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="6.8.1" data-path="../binaryclass/criteo_dataset.html">
+
+ <a href="../binaryclass/criteo_dataset.html">
+
+
+ <b>6.8.1.</b>
+
+ Data preparation
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="6.8.2" data-path="../binaryclass/criteo_ffm.html">
+
+ <a href="../binaryclass/criteo_ffm.html">
+
+
+ <b>6.8.2.</b>
+
+ Field-Aware Factorization Machines
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
@@ -2270,7 +2336,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
<script>
var gitbook = gitbook || [];
gitbook.push(function() {
- gitbook.page.hasChanged({"page":{"title":"News20 Multiclass Tutorial","level":"7.1","depth":1,"next":{"title":"Data preparation","level":"7.1.1","depth":2,"path":"multiclass/news20_dataset.md","ref":"multiclass/news20_dataset.md","articles":[]},"previous":{"title":"Kaggle Titanic Tutorial","level":"6.7","depth":1,"path":"binaryclass/titanic_rf.md","ref":"binaryclass/titanic_rf.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"},"sho
wLevel":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":"multiclass/news20.md","mtime":"2017-12-11T08:48:01.136Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-06-06T09:01:20.330Z"},"basePath":"..","book":{"language":""}});
+ gitbook.page.hasChanged({"page":{"title":"News20 Multiclass Tutorial","level":"7.1","depth":1,"next":{"title":"Data preparation","level":"7.1.1","depth":2,"path":"multiclass/news20_dataset.md","ref":"multiclass/news20_dataset.md","articles":[]},"previous":{"title":"Field-Aware Factorization Machines","level":"6.8.2","depth":2,"path":"binaryclass/criteo_ffm.md","ref":"binaryclass/criteo_ffm.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/apa
che/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/pri
nt.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":"multiclass/news20.md","mtime":"2018-08-29T08:55:00.278Z","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/multiclass/news20_dataset.html
----------------------------------------------------------------------
diff --git a/userguide/multiclass/news20_dataset.html b/userguide/multiclass/news20_dataset.html
index 79db1df..bec5b98 100644
--- a/userguide/multiclass/news20_dataset.html
+++ b/userguide/multiclass/news20_dataset.html
@@ -861,9 +861,9 @@
- <li class="chapter " data-level="5.1" data-path="../misc/prediction.html">
+ <li class="chapter " data-level="5.1" data-path="../supervised_learning/prediction.html">
- <a href="../misc/prediction.html">
+ <a href="../supervised_learning/prediction.html">
<b>5.1.</b>
@@ -876,6 +876,21 @@
</li>
+ <li class="chapter " data-level="5.2" data-path="../supervised_learning/tutorial.html">
+
+ <a href="../supervised_learning/tutorial.html">
+
+
+ <b>5.2.</b>
+
+ Step-by-Step Tutorial on Supervised Learning
+
+ </a>
+
+
+
+ </li>
+
@@ -1228,6 +1243,57 @@
</li>
+ <li class="chapter " data-level="6.8" data-path="../binaryclass/criteo.html">
+
+ <a href="../binaryclass/criteo.html">
+
+
+ <b>6.8.</b>
+
+ Criteo Tutorial
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="6.8.1" data-path="../binaryclass/criteo_dataset.html">
+
+ <a href="../binaryclass/criteo_dataset.html">
+
+
+ <b>6.8.1.</b>
+
+ Data preparation
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="6.8.2" data-path="../binaryclass/criteo_ffm.html">
+
+ <a href="../binaryclass/criteo_ffm.html">
+
+
+ <b>6.8.2.</b>
+
+ Field-Aware Factorization Machines
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
@@ -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":"Data preparation","level":"7.1.1","depth":2,"next":{"title":"Data preparation for one-vs-the-rest classifiers","level":"7.1.2","depth":2,"path":"multiclass/news20_one-vs-the-rest_dataset.md","ref":"multiclass/news20_one-vs-the-rest_dataset.md","articles":[]},"previous":{"title":"News20 Multiclass Tutorial","level":"7.1","depth":1,"path":"multiclass/news20.md","ref":"multiclass/news20.md","articles":[{"title":"Data preparation","level":"7.1.1","depth":2,"path":"multiclass/news20_dataset.md","ref":"multiclass/news20_dataset.md","articles":[]},{"title":"Data preparation for one-vs-the-rest classifiers","level":"7.1.2","depth":2,"path":"multiclass/news20_one-vs-the-rest_dataset.md","ref":"multiclass/news20_one-vs-the-rest_dataset.md","articles":[]},{"title":"PA","level":"7.1.3","depth":2,"path":"multiclass/news20_pa.md","ref":"multiclass/news20_pa.md","articles":[]},{"title":"CW, AROW, SCW","level":"7.1.4","depth":2,"path":"multiclas
s/news20_scw.md","ref":"multiclass/news20_scw.md","articles":[]},{"title":"Ensemble learning","level":"7.1.5","depth":2,"path":"multiclass/news20_ensemble.md","ref":"multiclass/news20_ensemble.md","articles":[]},{"title":"one-vs-the-rest classifier","level":"7.1.6","depth":2,"path":"multiclass/news20_one-vs-the-rest.md","ref":"multiclass/news20_one-vs-the-rest.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":"multiclass/news20_dataset.md","mtime":"2017-12-11T08:48:01.136Z","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":"7.1.1","depth":2,"next":{"title":"Data preparation for one-vs-the-rest classifiers","level":"7.1.2","depth":2,"path":"multiclass/news20_one-vs-the-rest_dataset.md","ref":"multiclass/news20_one-vs-the-rest_dataset.md","articles":[]},"previous":{"title":"News20 Multiclass Tutorial","level":"7.1","depth":1,"path":"multiclass/news20.md","ref":"multiclass/news20.md","articles":[{"title":"Data preparation","level":"7.1.1","depth":2,"path":"multiclass/news20_dataset.md","ref":"multiclass/news20_dataset.md","articles":[]},{"title":"Data preparation for one-vs-the-rest classifiers","level":"7.1.2","depth":2,"path":"multiclass/news20_one-vs-the-rest_dataset.md","ref":"multiclass/news20_one-vs-the-rest_dataset.md","articles":[]},{"title":"PA","level":"7.1.3","depth":2,"path":"multiclass/news20_pa.md","ref":"multiclass/news20_pa.md","articles":[]},{"title":"CW, AROW, SCW","level":"7.1.4","depth":2,"path":"multiclas
s/news20_scw.md","ref":"multiclass/news20_scw.md","articles":[]},{"title":"Ensemble learning","level":"7.1.5","depth":2,"path":"multiclass/news20_ensemble.md","ref":"multiclass/news20_ensemble.md","articles":[]},{"title":"one-vs-the-rest classifier","level":"7.1.6","depth":2,"path":"multiclass/news20_one-vs-the-rest.md","ref":"multiclass/news20_one-vs-the-rest.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":"multiclass/news20_dataset.md","mtime":"2018-08-29T08:55:00.279Z","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>
[04/20] incubator-hivemall-site git commit: Added criteo example and
step-by-step guide for general classifier/regressor
Posted by my...@apache.org.
http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/6c6a1b42/userguide/supervised_learning/prediction.html
----------------------------------------------------------------------
diff --git a/userguide/supervised_learning/prediction.html b/userguide/supervised_learning/prediction.html
new file mode 100644
index 0000000..a4719e5
--- /dev/null
+++ b/userguide/supervised_learning/prediction.html
@@ -0,0 +1,2604 @@
+
+<!DOCTYPE HTML>
+<html lang="" >
+ <head>
+ <meta charset="UTF-8">
+ <meta content="text/html; charset=utf-8" http-equiv="Content-Type">
+ <title>How Prediction Works · Hivemall User Manual</title>
+ <meta http-equiv="X-UA-Compatible" content="IE=edge" />
+ <meta name="description" content="">
+ <meta name="generator" content="GitBook 3.2.3">
+
+
+
+
+ <link rel="stylesheet" href="../gitbook/style.css">
+
+
+
+
+ <link rel="stylesheet" href="../gitbook/gitbook-plugin-splitter/splitter.css">
+
+
+
+ <link rel="stylesheet" href="../gitbook/gitbook-plugin-etoc/plugin.css">
+
+
+
+ <link rel="stylesheet" href="../gitbook/gitbook-plugin-callouts/plugin.css">
+
+
+
+ <link rel="stylesheet" href="../gitbook/gitbook-plugin-toggle-chapters/toggle.css">
+
+
+
+ <link rel="stylesheet" href="../gitbook/gitbook-plugin-codeblock-filename/block.css">
+
+
+
+ <link rel="stylesheet" href="../gitbook/gitbook-plugin-expandable-chapters/expandable-chapters.css">
+
+
+
+ <link rel="stylesheet" href="../gitbook/gitbook-plugin-multipart/multipart.css">
+
+
+
+ <link rel="stylesheet" href="../gitbook/gitbook-plugin-katex/katex.min.css">
+
+
+
+ <link rel="stylesheet" href="../gitbook/gitbook-plugin-emphasize/plugin.css">
+
+
+
+ <link rel="stylesheet" href="../gitbook/gitbook-plugin-highlight/website.css">
+
+
+
+ <link rel="stylesheet" href="../gitbook/gitbook-plugin-search/search.css">
+
+
+
+ <link rel="stylesheet" href="../gitbook/gitbook-plugin-fontsettings/website.css">
+
+
+
+ <link rel="stylesheet" href="../gitbook/gitbook-plugin-theme-api/theme-api.css">
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+ <meta name="HandheldFriendly" content="true"/>
+ <meta name="viewport" content="width=device-width, initial-scale=1, user-scalable=no">
+ <meta name="apple-mobile-web-app-capable" content="yes">
+ <meta name="apple-mobile-web-app-status-bar-style" content="black">
+ <link rel="apple-touch-icon-precomposed" sizes="152x152" href="../gitbook/images/apple-touch-icon-precomposed-152.png">
+ <link rel="shortcut icon" href="../gitbook/images/favicon.ico" type="image/x-icon">
+
+
+ <link rel="next" href="tutorial.html" />
+
+
+ <link rel="prev" href="../eval/lr_datagen.html" />
+
+
+ </head>
+ <body>
+
+<div class="book">
+ <div class="book-summary">
+
+
+<div id="book-search-input" role="search">
+ <input type="text" placeholder="Type to search" />
+</div>
+
+
+ <nav role="navigation">
+
+
+
+<ul class="summary">
+
+
+
+
+ <li>
+ <a href="http://hivemall.incubator.apache.org/" target="_blank" class="custom-link"><i class="fa fa-home"></i> Home</a>
+ </li>
+
+
+
+
+ <li class="divider"></li>
+
+
+
+
+ <li class="header">TABLE OF CONTENTS</li>
+
+
+
+ <li class="chapter " data-level="1.1" data-path="../">
+
+ <a href="../">
+
+
+ <b>1.1.</b>
+
+ Introduction
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="1.2" data-path="../getting_started/">
+
+ <a href="../getting_started/">
+
+
+ <b>1.2.</b>
+
+ Getting Started
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="1.2.1" data-path="../getting_started/installation.html">
+
+ <a href="../getting_started/installation.html">
+
+
+ <b>1.2.1.</b>
+
+ Installation
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="1.2.2" data-path="../getting_started/permanent-functions.html">
+
+ <a href="../getting_started/permanent-functions.html">
+
+
+ <b>1.2.2.</b>
+
+ Install as permanent functions
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="1.2.3" data-path="../getting_started/input-format.html">
+
+ <a href="../getting_started/input-format.html">
+
+
+ <b>1.2.3.</b>
+
+ Input Format
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+ <li class="chapter " data-level="1.3" data-path="../misc/funcs.html">
+
+ <a href="../misc/funcs.html">
+
+
+ <b>1.3.</b>
+
+ List of Functions
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="1.4" data-path="../tips/">
+
+ <a href="../tips/">
+
+
+ <b>1.4.</b>
+
+ Tips for Effective Hivemall
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="1.4.1" data-path="../tips/addbias.html">
+
+ <a href="../tips/addbias.html">
+
+
+ <b>1.4.1.</b>
+
+ Explicit add_bias() for better prediction
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="1.4.2" data-path="../tips/rand_amplify.html">
+
+ <a href="../tips/rand_amplify.html">
+
+
+ <b>1.4.2.</b>
+
+ Use rand_amplify() to better prediction results
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="1.4.3" data-path="../tips/rt_prediction.html">
+
+ <a href="../tips/rt_prediction.html">
+
+
+ <b>1.4.3.</b>
+
+ Real-time prediction on RDBMS
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="1.4.4" data-path="../tips/ensemble_learning.html">
+
+ <a href="../tips/ensemble_learning.html">
+
+
+ <b>1.4.4.</b>
+
+ Ensemble learning for stable prediction
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="1.4.5" data-path="../tips/mixserver.html">
+
+ <a href="../tips/mixserver.html">
+
+
+ <b>1.4.5.</b>
+
+ Mixing models for a better prediction convergence (MIX server)
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="1.4.6" data-path="../tips/emr.html">
+
+ <a href="../tips/emr.html">
+
+
+ <b>1.4.6.</b>
+
+ Run Hivemall on Amazon Elastic MapReduce
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+ <li class="chapter " data-level="1.5" data-path="../tips/general_tips.html">
+
+ <a href="../tips/general_tips.html">
+
+
+ <b>1.5.</b>
+
+ General Hive/Hadoop Tips
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="1.5.1" data-path="../tips/rowid.html">
+
+ <a href="../tips/rowid.html">
+
+
+ <b>1.5.1.</b>
+
+ Adding rowid for each row
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="1.5.2" data-path="../tips/hadoop_tuning.html">
+
+ <a href="../tips/hadoop_tuning.html">
+
+
+ <b>1.5.2.</b>
+
+ Hadoop tuning for Hivemall
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+ <li class="chapter " data-level="1.6" data-path="../troubleshooting/">
+
+ <a href="../troubleshooting/">
+
+
+ <b>1.6.</b>
+
+ Troubleshooting
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="1.6.1" data-path="../troubleshooting/oom.html">
+
+ <a href="../troubleshooting/oom.html">
+
+
+ <b>1.6.1.</b>
+
+ OutOfMemoryError in training
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="1.6.2" data-path="../troubleshooting/mapjoin_task_error.html">
+
+ <a href="../troubleshooting/mapjoin_task_error.html">
+
+
+ <b>1.6.2.</b>
+
+ SemanticException generate map join task error: Cannot serialize object
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="1.6.3" data-path="../troubleshooting/asterisk.html">
+
+ <a href="../troubleshooting/asterisk.html">
+
+
+ <b>1.6.3.</b>
+
+ Asterisk argument for UDTF does not work
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="1.6.4" data-path="../troubleshooting/num_mappers.html">
+
+ <a href="../troubleshooting/num_mappers.html">
+
+
+ <b>1.6.4.</b>
+
+ The number of mappers is less than input splits in Hadoop 2.x
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="1.6.5" data-path="../troubleshooting/mapjoin_classcastex.html">
+
+ <a href="../troubleshooting/mapjoin_classcastex.html">
+
+
+ <b>1.6.5.</b>
+
+ Map-side join causes ClassCastException on Tez
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+
+
+
+ <li class="header">Part II - Generic Features</li>
+
+
+
+ <li class="chapter " data-level="2.1" data-path="../misc/generic_funcs.html">
+
+ <a href="../misc/generic_funcs.html">
+
+
+ <b>2.1.</b>
+
+ List of Generic Hivemall Functions
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="2.2" data-path="../misc/topk.html">
+
+ <a href="../misc/topk.html">
+
+
+ <b>2.2.</b>
+
+ Efficient Top-K Query Processing
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="2.3" data-path="../misc/tokenizer.html">
+
+ <a href="../misc/tokenizer.html">
+
+
+ <b>2.3.</b>
+
+ Text Tokenizer
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="2.4" data-path="../misc/approx.html">
+
+ <a href="../misc/approx.html">
+
+
+ <b>2.4.</b>
+
+ Approximate Aggregate Functions
+
+ </a>
+
+
+
+ </li>
+
+
+
+
+ <li class="header">Part III - Feature Engineering</li>
+
+
+
+ <li class="chapter " data-level="3.1" data-path="../ft_engineering/scaling.html">
+
+ <a href="../ft_engineering/scaling.html">
+
+
+ <b>3.1.</b>
+
+ Feature Scaling
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="3.2" data-path="../ft_engineering/hashing.html">
+
+ <a href="../ft_engineering/hashing.html">
+
+
+ <b>3.2.</b>
+
+ Feature Hashing
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="3.3" data-path="../ft_engineering/selection.html">
+
+ <a href="../ft_engineering/selection.html">
+
+
+ <b>3.3.</b>
+
+ Feature Selection
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="3.4" data-path="../ft_engineering/binning.html">
+
+ <a href="../ft_engineering/binning.html">
+
+
+ <b>3.4.</b>
+
+ Feature Binning
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="3.5" data-path="../ft_engineering/pairing.html">
+
+ <a href="../ft_engineering/pairing.html">
+
+
+ <b>3.5.</b>
+
+ Feature Paring
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="3.5.1" data-path="../ft_engineering/polynomial.html">
+
+ <a href="../ft_engineering/polynomial.html">
+
+
+ <b>3.5.1.</b>
+
+ Polynomial features
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+ <li class="chapter " data-level="3.6" data-path="../ft_engineering/ft_trans.html">
+
+ <a href="../ft_engineering/ft_trans.html">
+
+
+ <b>3.6.</b>
+
+ Feature Transformation
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="3.6.1" data-path="../ft_engineering/vectorization.html">
+
+ <a href="../ft_engineering/vectorization.html">
+
+
+ <b>3.6.1.</b>
+
+ Feature vectorization
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="3.6.2" data-path="../ft_engineering/quantify.html">
+
+ <a href="../ft_engineering/quantify.html">
+
+
+ <b>3.6.2.</b>
+
+ Quantify non-number features
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+ <li class="chapter " data-level="3.7" data-path="../ft_engineering/tfidf.html">
+
+ <a href="../ft_engineering/tfidf.html">
+
+
+ <b>3.7.</b>
+
+ TF-IDF Calculation
+
+ </a>
+
+
+
+ </li>
+
+
+
+
+ <li class="header">Part IV - Evaluation</li>
+
+
+
+ <li class="chapter " data-level="4.1" data-path="../eval/binary_classification_measures.html">
+
+ <a href="../eval/binary_classification_measures.html">
+
+
+ <b>4.1.</b>
+
+ Binary Classification Metrics
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="4.1.1" data-path="../eval/auc.html">
+
+ <a href="../eval/auc.html">
+
+
+ <b>4.1.1.</b>
+
+ Area under the ROC curve
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+ <li class="chapter " data-level="4.2" data-path="../eval/multilabel_classification_measures.html">
+
+ <a href="../eval/multilabel_classification_measures.html">
+
+
+ <b>4.2.</b>
+
+ Multi-label Classification Metrics
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="4.3" data-path="../eval/regression.html">
+
+ <a href="../eval/regression.html">
+
+
+ <b>4.3.</b>
+
+ Regression Metrics
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="4.4" data-path="../eval/rank.html">
+
+ <a href="../eval/rank.html">
+
+
+ <b>4.4.</b>
+
+ Ranking Measures
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="4.5" data-path="../eval/datagen.html">
+
+ <a href="../eval/datagen.html">
+
+
+ <b>4.5.</b>
+
+ Data Generation
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="4.5.1" data-path="../eval/lr_datagen.html">
+
+ <a href="../eval/lr_datagen.html">
+
+
+ <b>4.5.1.</b>
+
+ Logistic Regression data generation
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+
+
+
+ <li class="header">Part V - Supervised Learning</li>
+
+
+
+ <li class="chapter active" data-level="5.1" data-path="prediction.html">
+
+ <a href="prediction.html">
+
+
+ <b>5.1.</b>
+
+ How Prediction Works
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="5.2" data-path="tutorial.html">
+
+ <a href="tutorial.html">
+
+
+ <b>5.2.</b>
+
+ Step-by-Step Tutorial on Supervised Learning
+
+ </a>
+
+
+
+ </li>
+
+
+
+
+ <li class="header">Part VI - Binary Classification</li>
+
+
+
+ <li class="chapter " data-level="6.1" data-path="../binaryclass/general.html">
+
+ <a href="../binaryclass/general.html">
+
+
+ <b>6.1.</b>
+
+ Binary Classification
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="6.2" data-path="../binaryclass/a9a.html">
+
+ <a href="../binaryclass/a9a.html">
+
+
+ <b>6.2.</b>
+
+ a9a Tutorial
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="6.2.1" data-path="../binaryclass/a9a_dataset.html">
+
+ <a href="../binaryclass/a9a_dataset.html">
+
+
+ <b>6.2.1.</b>
+
+ Data preparation
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="6.2.2" data-path="../binaryclass/a9a_lr.html">
+
+ <a href="../binaryclass/a9a_lr.html">
+
+
+ <b>6.2.2.</b>
+
+ Logistic Regression
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="6.2.3" data-path="../binaryclass/a9a_minibatch.html">
+
+ <a href="../binaryclass/a9a_minibatch.html">
+
+
+ <b>6.2.3.</b>
+
+ Mini-batch gradient descent
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+ <li class="chapter " data-level="6.3" data-path="../binaryclass/news20.html">
+
+ <a href="../binaryclass/news20.html">
+
+
+ <b>6.3.</b>
+
+ News20 Tutorial
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="6.3.1" data-path="../binaryclass/news20_dataset.html">
+
+ <a href="../binaryclass/news20_dataset.html">
+
+
+ <b>6.3.1.</b>
+
+ Data preparation
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="6.3.2" data-path="../binaryclass/news20_pa.html">
+
+ <a href="../binaryclass/news20_pa.html">
+
+
+ <b>6.3.2.</b>
+
+ Perceptron, Passive Aggressive
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="6.3.3" data-path="../binaryclass/news20_scw.html">
+
+ <a href="../binaryclass/news20_scw.html">
+
+
+ <b>6.3.3.</b>
+
+ CW, AROW, SCW
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="6.3.4" data-path="../binaryclass/news20_adagrad.html">
+
+ <a href="../binaryclass/news20_adagrad.html">
+
+
+ <b>6.3.4.</b>
+
+ AdaGradRDA, AdaGrad, AdaDelta
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="6.3.5" data-path="../binaryclass/news20_rf.html">
+
+ <a href="../binaryclass/news20_rf.html">
+
+
+ <b>6.3.5.</b>
+
+ Random Forest
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+ <li class="chapter " data-level="6.4" data-path="../binaryclass/kdd2010a.html">
+
+ <a href="../binaryclass/kdd2010a.html">
+
+
+ <b>6.4.</b>
+
+ KDD2010a Tutorial
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="6.4.1" data-path="../binaryclass/kdd2010a_dataset.html">
+
+ <a href="../binaryclass/kdd2010a_dataset.html">
+
+
+ <b>6.4.1.</b>
+
+ Data preparation
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="6.4.2" data-path="../binaryclass/kdd2010a_scw.html">
+
+ <a href="../binaryclass/kdd2010a_scw.html">
+
+
+ <b>6.4.2.</b>
+
+ PA, CW, AROW, SCW
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+ <li class="chapter " data-level="6.5" data-path="../binaryclass/kdd2010b.html">
+
+ <a href="../binaryclass/kdd2010b.html">
+
+
+ <b>6.5.</b>
+
+ KDD2010b Tutorial
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="6.5.1" data-path="../binaryclass/kdd2010b_dataset.html">
+
+ <a href="../binaryclass/kdd2010b_dataset.html">
+
+
+ <b>6.5.1.</b>
+
+ Data preparation
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="6.5.2" data-path="../binaryclass/kdd2010b_arow.html">
+
+ <a href="../binaryclass/kdd2010b_arow.html">
+
+
+ <b>6.5.2.</b>
+
+ AROW
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+ <li class="chapter " data-level="6.6" data-path="../binaryclass/webspam.html">
+
+ <a href="../binaryclass/webspam.html">
+
+
+ <b>6.6.</b>
+
+ Webspam Tutorial
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="6.6.1" data-path="../binaryclass/webspam_dataset.html">
+
+ <a href="../binaryclass/webspam_dataset.html">
+
+
+ <b>6.6.1.</b>
+
+ Data pareparation
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="6.6.2" data-path="../binaryclass/webspam_scw.html">
+
+ <a href="../binaryclass/webspam_scw.html">
+
+
+ <b>6.6.2.</b>
+
+ PA1, AROW, SCW
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+ <li class="chapter " data-level="6.7" data-path="../binaryclass/titanic_rf.html">
+
+ <a href="../binaryclass/titanic_rf.html">
+
+
+ <b>6.7.</b>
+
+ Kaggle Titanic Tutorial
+
+ </a>
+
+
+
+ </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>
+
+
+
+
+ <li class="header">Part VII - Multiclass Classification</li>
+
+
+
+ <li class="chapter " data-level="7.1" data-path="../multiclass/news20.html">
+
+ <a href="../multiclass/news20.html">
+
+
+ <b>7.1.</b>
+
+ News20 Multiclass Tutorial
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="7.1.1" data-path="../multiclass/news20_dataset.html">
+
+ <a href="../multiclass/news20_dataset.html">
+
+
+ <b>7.1.1.</b>
+
+ Data preparation
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="7.1.2" data-path="../multiclass/news20_one-vs-the-rest_dataset.html">
+
+ <a href="../multiclass/news20_one-vs-the-rest_dataset.html">
+
+
+ <b>7.1.2.</b>
+
+ Data preparation for one-vs-the-rest classifiers
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="7.1.3" data-path="../multiclass/news20_pa.html">
+
+ <a href="../multiclass/news20_pa.html">
+
+
+ <b>7.1.3.</b>
+
+ PA
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="7.1.4" data-path="../multiclass/news20_scw.html">
+
+ <a href="../multiclass/news20_scw.html">
+
+
+ <b>7.1.4.</b>
+
+ CW, AROW, SCW
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="7.1.5" data-path="../multiclass/news20_ensemble.html">
+
+ <a href="../multiclass/news20_ensemble.html">
+
+
+ <b>7.1.5.</b>
+
+ Ensemble learning
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="7.1.6" data-path="../multiclass/news20_one-vs-the-rest.html">
+
+ <a href="../multiclass/news20_one-vs-the-rest.html">
+
+
+ <b>7.1.6.</b>
+
+ one-vs-the-rest classifier
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+ <li class="chapter " data-level="7.2" data-path="../multiclass/iris.html">
+
+ <a href="../multiclass/iris.html">
+
+
+ <b>7.2.</b>
+
+ Iris Tutorial
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="7.2.1" data-path="../multiclass/iris_dataset.html">
+
+ <a href="../multiclass/iris_dataset.html">
+
+
+ <b>7.2.1.</b>
+
+ Data preparation
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="7.2.2" data-path="../multiclass/iris_scw.html">
+
+ <a href="../multiclass/iris_scw.html">
+
+
+ <b>7.2.2.</b>
+
+ SCW
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="7.2.3" data-path="../multiclass/iris_randomforest.html">
+
+ <a href="../multiclass/iris_randomforest.html">
+
+
+ <b>7.2.3.</b>
+
+ Random Forest
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+
+
+
+ <li class="header">Part VIII - Regression</li>
+
+
+
+ <li class="chapter " data-level="8.1" data-path="../regression/general.html">
+
+ <a href="../regression/general.html">
+
+
+ <b>8.1.</b>
+
+ Regression
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="8.2" data-path="../regression/e2006.html">
+
+ <a href="../regression/e2006.html">
+
+
+ <b>8.2.</b>
+
+ E2006-tfidf Regression Tutorial
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="8.2.1" data-path="../regression/e2006_dataset.html">
+
+ <a href="../regression/e2006_dataset.html">
+
+
+ <b>8.2.1.</b>
+
+ Data preparation
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="8.2.2" data-path="../regression/e2006_arow.html">
+
+ <a href="../regression/e2006_arow.html">
+
+
+ <b>8.2.2.</b>
+
+ Passive Aggressive, AROW
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+ <li class="chapter " data-level="8.3" data-path="../regression/kddcup12tr2.html">
+
+ <a href="../regression/kddcup12tr2.html">
+
+
+ <b>8.3.</b>
+
+ KDDCup 2012 Track 2 CTR Prediction Tutorial
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="8.3.1" data-path="../regression/kddcup12tr2_dataset.html">
+
+ <a href="../regression/kddcup12tr2_dataset.html">
+
+
+ <b>8.3.1.</b>
+
+ Data preparation
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="8.3.2" data-path="../regression/kddcup12tr2_lr.html">
+
+ <a href="../regression/kddcup12tr2_lr.html">
+
+
+ <b>8.3.2.</b>
+
+ Logistic Regression, Passive Aggressive
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="8.3.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
+
+ <a href="../regression/kddcup12tr2_lr_amplify.html">
+
+
+ <b>8.3.3.</b>
+
+ Logistic Regression with amplifier
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="8.3.4" data-path="../regression/kddcup12tr2_adagrad.html">
+
+ <a href="../regression/kddcup12tr2_adagrad.html">
+
+
+ <b>8.3.4.</b>
+
+ AdaGrad, AdaDelta
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+
+
+
+ <li class="header">Part IX - Recommendation</li>
+
+
+
+ <li class="chapter " data-level="9.1" data-path="../recommend/cf.html">
+
+ <a href="../recommend/cf.html">
+
+
+ <b>9.1.</b>
+
+ Collaborative Filtering
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="9.1.1" data-path="../recommend/item_based_cf.html">
+
+ <a href="../recommend/item_based_cf.html">
+
+
+ <b>9.1.1.</b>
+
+ Item-based collaborative filtering
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+ <li class="chapter " data-level="9.2" data-path="../recommend/news20.html">
+
+ <a href="../recommend/news20.html">
+
+
+ <b>9.2.</b>
+
+ News20 Related Article Recommendation Tutorial
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="9.2.1" data-path="../multiclass/news20_dataset.html">
+
+ <a href="../multiclass/news20_dataset.html">
+
+
+ <b>9.2.1.</b>
+
+ Data preparation
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="9.2.2" data-path="../recommend/news20_jaccard.html">
+
+ <a href="../recommend/news20_jaccard.html">
+
+
+ <b>9.2.2.</b>
+
+ LSH/MinHash and Jaccard similarity
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="9.2.3" data-path="../recommend/news20_knn.html">
+
+ <a href="../recommend/news20_knn.html">
+
+
+ <b>9.2.3.</b>
+
+ LSH/MinHash and brute-force search
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="9.2.4" data-path="../recommend/news20_bbit_minhash.html">
+
+ <a href="../recommend/news20_bbit_minhash.html">
+
+
+ <b>9.2.4.</b>
+
+ kNN search using b-Bits MinHash
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+ <li class="chapter " data-level="9.3" data-path="../recommend/movielens.html">
+
+ <a href="../recommend/movielens.html">
+
+
+ <b>9.3.</b>
+
+ MovieLens Movie Recommendation Tutorial
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="9.3.1" data-path="../recommend/movielens_dataset.html">
+
+ <a href="../recommend/movielens_dataset.html">
+
+
+ <b>9.3.1.</b>
+
+ Data preparation
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="9.3.2" data-path="../recommend/movielens_cf.html">
+
+ <a href="../recommend/movielens_cf.html">
+
+
+ <b>9.3.2.</b>
+
+ Item-based collaborative filtering
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="9.3.3" data-path="../recommend/movielens_mf.html">
+
+ <a href="../recommend/movielens_mf.html">
+
+
+ <b>9.3.3.</b>
+
+ Matrix Factorization
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="9.3.4" data-path="../recommend/movielens_fm.html">
+
+ <a href="../recommend/movielens_fm.html">
+
+
+ <b>9.3.4.</b>
+
+ Factorization Machine
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="9.3.5" data-path="../recommend/movielens_slim.html">
+
+ <a href="../recommend/movielens_slim.html">
+
+
+ <b>9.3.5.</b>
+
+ SLIM for fast top-k recommendation
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="9.3.6" data-path="../recommend/movielens_cv.html">
+
+ <a href="../recommend/movielens_cv.html">
+
+
+ <b>9.3.6.</b>
+
+ 10-fold cross validation (Matrix Factorization)
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+
+
+
+ <li class="header">Part X - Anomaly Detection</li>
+
+
+
+ <li class="chapter " data-level="10.1" data-path="../anomaly/lof.html">
+
+ <a href="../anomaly/lof.html">
+
+
+ <b>10.1.</b>
+
+ Outlier Detection using Local Outlier Factor (LOF)
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="10.2" data-path="../anomaly/sst.html">
+
+ <a href="../anomaly/sst.html">
+
+
+ <b>10.2.</b>
+
+ Change-Point Detection using Singular Spectrum Transformation (SST)
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="10.3" data-path="../anomaly/changefinder.html">
+
+ <a href="../anomaly/changefinder.html">
+
+
+ <b>10.3.</b>
+
+ ChangeFinder: Detecting Outlier and Change-Point Simultaneously
+
+ </a>
+
+
+
+ </li>
+
+
+
+
+ <li class="header">Part XI - Clustering</li>
+
+
+
+ <li class="chapter " data-level="11.1" data-path="../clustering/lda.html">
+
+ <a href="../clustering/lda.html">
+
+
+ <b>11.1.</b>
+
+ Latent Dirichlet Allocation
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="11.2" data-path="../clustering/plsa.html">
+
+ <a href="../clustering/plsa.html">
+
+
+ <b>11.2.</b>
+
+ Probabilistic Latent Semantic Analysis
+
+ </a>
+
+
+
+ </li>
+
+
+
+
+ <li class="header">Part XII - GeoSpatial Functions</li>
+
+
+
+ <li class="chapter " data-level="12.1" data-path="../geospatial/latlon.html">
+
+ <a href="../geospatial/latlon.html">
+
+
+ <b>12.1.</b>
+
+ Lat/Lon functions
+
+ </a>
+
+
+
+ </li>
+
+
+
+
+ <li class="header">Part XIII - Hivemall on Spark</li>
+
+
+
+ <li class="chapter " data-level="13.1" data-path="../spark/getting_started/">
+
+ <a href="../spark/getting_started/">
+
+
+ <b>13.1.</b>
+
+ Getting Started
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="13.1.1" data-path="../spark/getting_started/installation.html">
+
+ <a href="../spark/getting_started/installation.html">
+
+
+ <b>13.1.1.</b>
+
+ Installation
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+ <li class="chapter " data-level="13.2" data-path="../spark/binaryclass/">
+
+ <a href="../spark/binaryclass/">
+
+
+ <b>13.2.</b>
+
+ Binary Classification
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="13.2.1" data-path="../spark/binaryclass/a9a_df.html">
+
+ <a href="../spark/binaryclass/a9a_df.html">
+
+
+ <b>13.2.1.</b>
+
+ a9a tutorial for DataFrame
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="13.2.2" data-path="../spark/binaryclass/a9a_sql.html">
+
+ <a href="../spark/binaryclass/a9a_sql.html">
+
+
+ <b>13.2.2.</b>
+
+ a9a tutorial for SQL
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+ <li class="chapter " data-level="13.3" data-path="../spark/binaryclass/">
+
+ <a href="../spark/binaryclass/">
+
+
+ <b>13.3.</b>
+
+ Regression
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="13.3.1" data-path="../spark/regression/e2006_df.html">
+
+ <a href="../spark/regression/e2006_df.html">
+
+
+ <b>13.3.1.</b>
+
+ E2006-tfidf regression tutorial for DataFrame
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="13.3.2" data-path="../spark/regression/e2006_sql.html">
+
+ <a href="../spark/regression/e2006_sql.html">
+
+
+ <b>13.3.2.</b>
+
+ E2006-tfidf regression tutorial for SQL
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+ <li class="chapter " data-level="13.4" data-path="../spark/misc/misc.html">
+
+ <a href="../spark/misc/misc.html">
+
+
+ <b>13.4.</b>
+
+ Generic features
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="13.4.1" data-path="../spark/misc/topk_join.html">
+
+ <a href="../spark/misc/topk_join.html">
+
+
+ <b>13.4.1.</b>
+
+ Top-k join processing
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="13.4.2" data-path="../spark/misc/functions.html">
+
+ <a href="../spark/misc/functions.html">
+
+
+ <b>13.4.2.</b>
+
+ Other utility functions
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+
+
+
+ <li class="header">Part XIV - Hivemall on Docker</li>
+
+
+
+ <li class="chapter " data-level="14.1" data-path="../docker/getting_started.html">
+
+ <a href="../docker/getting_started.html">
+
+
+ <b>14.1.</b>
+
+ Getting Started
+
+ </a>
+
+
+
+ </li>
+
+
+
+
+ <li class="header">Part XIV - External References</li>
+
+
+
+ <li class="chapter " data-level="15.1" >
+
+ <a target="_blank" href="https://github.com/daijyc/hivemall/wiki/PigHome">
+
+
+ <b>15.1.</b>
+
+ Hivemall on Apache Pig
+
+ </a>
+
+
+
+ </li>
+
+
+
+
+ <li class="divider"></li>
+
+ <li>
+ <a href="https://www.gitbook.com" target="blank" class="gitbook-link">
+ Published with GitBook
+ </a>
+ </li>
+</ul>
+
+
+ </nav>
+
+
+ </div>
+
+ <div class="book-body">
+
+ <div class="body-inner">
+
+
+
+<div class="book-header" role="navigation">
+
+
+ <!-- Title -->
+ <h1>
+ <i class="fa fa-circle-o-notch fa-spin"></i>
+ <a href=".." >How Prediction Works</a>
+ </h1>
+</div>
+
+
+
+
+ <div class="page-wrapper" tabindex="-1" role="main">
+ <div class="page-inner">
+
+<div id="book-search-results">
+ <div class="search-noresults">
+
+ <section class="normal markdown-section">
+
+ <!--
+ Licensed to the Apache Software Foundation (ASF) under one
+ or more contributor license agreements. See the NOTICE file
+ distributed with this work for additional information
+ regarding copyright ownership. The ASF licenses this file
+ to you under the Apache License, Version 2.0 (the
+ "License"); you may not use this file except in compliance
+ with the License. You may obtain a copy of the License at
+
+ http://www.apache.org/licenses/LICENSE-2.0
+
+ Unless required by applicable law or agreed to in writing,
+ software distributed under the License is distributed on an
+ "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ KIND, either express or implied. See the License for the
+ specific language governing permissions and limitations
+ under the License.
+-->
+<!-- toc --><div id="toc" class="toc">
+
+<ul>
+<li><a href="#what-is-prediction-problem">What is "prediction problem"?</a></li>
+<li><a href="#regression">Regression</a></li>
+<li><a href="#classification">Classification</a></li>
+<li><a href="#mathematical-formulation-of-generic-prediction-model">Mathematical formulation of generic prediction model</a></li>
+</ul>
+
+</div><!-- tocstop -->
+<h1 id="what-is-prediction-problem">What is "prediction problem"?</h1>
+<p>In a context of machine learning, numerous tasks can be seen as <strong>prediction problem</strong>. For example, this user guide provides solutions for:</p>
+<ul>
+<li><a href="../binaryclass/webspam.html">spam detection</a></li>
+<li><a href="../multiclass/news20.html">news article classification</a></li>
+<li><a href="../regression/kddcup12tr2.html">click-through-rate estimation</a></li>
+</ul>
+<p>For any kinds of prediction problems, we generally provide a set of input-output pairs as:</p>
+<ul>
+<li><strong>Input:</strong> Set of features<ul>
+<li>e.g., <code>["1:0.001","4:0.23","35:0.0035",...]</code></li>
+</ul>
+</li>
+<li><strong>Output:</strong> Target value<ul>
+<li>e.g., 1, 0, 0.54, 42.195, ...</li>
+</ul>
+</li>
+</ul>
+<p>Once a prediction model has been constructed based on the samples, the model can make prediction for unforeseen inputs. </p>
+<p>In order to train prediction models, an algorithm so-called <strong><em>stochastic gradient descent</em></strong> (SGD) is normally applied. You can learn more about this from the following external resources:</p>
+<ul>
+<li><a href="http://scikit-learn.org/stable/modules/sgd.html" target="_blank">scikit-learn documentation</a></li>
+<li><a href="http://spark.apache.org/docs/latest/mllib-optimization.html" target="_blank">Spark MLlib documentation</a></li>
+</ul>
+<p>Importantly, depending on types of output value, prediction problem can be categorized into <strong>regression</strong> and <strong>classification</strong> problem.</p>
+<h1 id="regression">Regression</h1>
+<p>The goal of regression is to predict <strong>real values</strong> as shown below:</p>
+<table>
+<thead>
+<tr>
+<th style="text-align:left">features (input)</th>
+<th style="text-align:center">target real value (output)</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td style="text-align:left">["1:0.001","4:0.23","35:0.0035",...]</td>
+<td style="text-align:center">21.3</td>
+</tr>
+<tr>
+<td style="text-align:left">["1:0.2","3:0.1","13:0.005",...]</td>
+<td style="text-align:center">6.2</td>
+</tr>
+<tr>
+<td style="text-align:left">["5:1.3","22:0.0.089","77:0.0001",...]</td>
+<td style="text-align:center">17.1</td>
+</tr>
+<tr>
+<td style="text-align:left">...</td>
+<td style="text-align:center">...</td>
+</tr>
+</tbody>
+</table>
+<p>In practice, target values could be any of small/large float/int negative/positive values. <a href="../regression/kddcup12tr2.html">Our CTR prediction tutorial</a> solves regression problem with small floating point target values in a 0-1 range, for example.</p>
+<p>While there are several ways to realize regression by using Hivemall, <code>train_regressor()</code> is one of the most flexible functions. This feature is explained in <a href="../regression/general.html">this page</a>.</p>
+<h1 id="classification">Classification</h1>
+<p>In contrast to regression, output for classification problems should be (integer) <strong>labels</strong>:</p>
+<table>
+<thead>
+<tr>
+<th style="text-align:left">features (input)</th>
+<th style="text-align:center">label (output)</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td style="text-align:left">["1:0.001","4:0.23","35:0.0035",...]</td>
+<td style="text-align:center">0</td>
+</tr>
+<tr>
+<td style="text-align:left">["1:0.2","3:0.1","13:0.005",...]</td>
+<td style="text-align:center">1</td>
+</tr>
+<tr>
+<td style="text-align:left">["5:1.3","22:0.0.089","77:0.0001",...]</td>
+<td style="text-align:center">1</td>
+</tr>
+<tr>
+<td style="text-align:left">...</td>
+<td style="text-align:center">...</td>
+</tr>
+</tbody>
+</table>
+<p>In case the number of possible labels is 2 (0/1 or -1/1), the problem is <strong>binary classification</strong>, and Hivemall's <code>train_classifier()</code> function enables you to build binary classifiers. <a href="../binaryclass/general.html">Binary Classification</a> demonstrates how to use the function.</p>
+<p>Another type of classification problems is <strong>multi-class classification</strong>. This task assumes that the number of possible labels is more than 2. We need to use different functions for the multi-class problems, and our <a href="../multiclass/news20.html">news20</a> and <a href="../multiclass/iris.html">iris</a> tutorials would be helpful.</p>
+<h1 id="mathematical-formulation-of-generic-prediction-model">Mathematical formulation of generic prediction model</h1>
+<p>Here, we briefly explain about how prediction model is constructed.</p>
+<p>First and foremost, we represent <strong>input</strong> and <strong>output</strong> for prediction models as follows:</p>
+<ul>
+<li><strong>Input:</strong> a vector <span class="katex"><span class="katex-mathml"><math><semantics><mrow><mrow><mi mathvariant="bold">x</mi></mrow></mrow><annotation encoding="application/x-tex">\mathbf{x}</annotation></semantics></math></span><span class="katex-html" aria-hidden="true"><span class="strut" style="height:0.44444em;"></span><span class="strut bottom" style="height:0.44444em;vertical-align:0em;"></span><span class="base textstyle uncramped"><span class="mord textstyle uncramped"><span class="mord mathbf">x</span></span></span></span></span></li>
+<li><strong>Output:</strong> a value <span class="katex"><span class="katex-mathml"><math><semantics><mrow><mi>y</mi></mrow><annotation encoding="application/x-tex">y</annotation></semantics></math></span><span class="katex-html" aria-hidden="true"><span class="strut" style="height:0.43056em;"></span><span class="strut bottom" style="height:0.625em;vertical-align:-0.19444em;"></span><span class="base textstyle uncramped"><span class="mord mathit" style="margin-right:0.03588em;">y</span></span></span></span></li>
+</ul>
+<p>For a set of samples <span class="katex"><span class="katex-mathml"><math><semantics><mrow><mo>(</mo><msub><mrow><mi mathvariant="bold">x</mi></mrow><mn>1</mn></msub><mo separator="true">,</mo><msub><mi>y</mi><mn>1</mn></msub><mo>)</mo><mo separator="true">,</mo><mo>(</mo><msub><mrow><mi mathvariant="bold">x</mi></mrow><mn>2</mn></msub><mo separator="true">,</mo><msub><mi>y</mi><mn>2</mn></msub><mo>)</mo><mo separator="true">,</mo><mo>⋯</mo><mo separator="true">,</mo><mo>(</mo><msub><mrow><mi mathvariant="bold">x</mi></mrow><mi>n</mi></msub><mo separator="true">,</mo><msub><mi>y</mi><mi>n</mi></msub><mo>)</mo></mrow><annotation encoding="application/x-tex">(\mathbf{x}_1, y_1), (\mathbf{x}_2, y_2), \cdots, (\mathbf{x}_n, y_n)</annotation></semantics></math></span><span class="katex-html" aria-hidden="true"><span class="strut" style="height:0.75em;"></span><span class="strut bottom" style="height:1em;vertical-align:-0.25em;"></span><span class="base textstyle uncramped"><spa
n class="mopen">(</span><span class="mord"><span class="mord textstyle uncramped"><span class="mord mathbf">x</span></span><span class="msupsub"><span class="vlist"><span style="top:0.15em;margin-right:0.05em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="reset-textstyle scriptstyle cramped mtight"><span class="mord mathrm mtight">1</span></span></span><span class="baseline-fix"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span>​</span></span></span></span><span class="mpunct">,</span><span class="mord"><span class="mord mathit" style="margin-right:0.03588em;">y</span><span class="msupsub"><span class="vlist"><span style="top:0.15em;margin-right:0.05em;margin-left:-0.03588em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="reset-textstyle scriptstyle cramped mtight"><span class="mord mathrm mtig
ht">1</span></span></span><span class="baseline-fix"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span>​</span></span></span></span><span class="mclose">)</span><span class="mpunct">,</span><span class="mopen">(</span><span class="mord"><span class="mord textstyle uncramped"><span class="mord mathbf">x</span></span><span class="msupsub"><span class="vlist"><span style="top:0.15em;margin-right:0.05em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="reset-textstyle scriptstyle cramped mtight"><span class="mord mathrm mtight">2</span></span></span><span class="baseline-fix"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span>​</span></span></span></span><span class="mpunct">,</span><span class="mord"><span class="mord mathit" style="margin-right:0.03588em;">y</span><span class="msupsub"><span class="vlist"><spa
n style="top:0.15em;margin-right:0.05em;margin-left:-0.03588em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="reset-textstyle scriptstyle cramped mtight"><span class="mord mathrm mtight">2</span></span></span><span class="baseline-fix"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span>​</span></span></span></span><span class="mclose">)</span><span class="mpunct">,</span><span class="minner">⋯</span><span class="mpunct">,</span><span class="mopen">(</span><span class="mord"><span class="mord textstyle uncramped"><span class="mord mathbf">x</span></span><span class="msupsub"><span class="vlist"><span style="top:0.15em;margin-right:0.05em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="reset-textstyle scriptstyle cramped mtight"><span class="mord mathit mtight">n</span></span></span><span c
lass="baseline-fix"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span>​</span></span></span></span><span class="mpunct">,</span><span class="mord"><span class="mord mathit" style="margin-right:0.03588em;">y</span><span class="msupsub"><span class="vlist"><span style="top:0.15em;margin-right:0.05em;margin-left:-0.03588em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="reset-textstyle scriptstyle cramped mtight"><span class="mord mathit mtight">n</span></span></span><span class="baseline-fix"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span>​</span></span></span></span><span class="mclose">)</span></span></span></span>, the goal of prediction algorithms is to find a weight vector (i.e., parameters) <span class="katex"><span class="katex-mathml"><math><semantics><mrow><mrow><mi mathvariant="bold">w</mi></mr
ow></mrow><annotation encoding="application/x-tex">\mathbf{w}</annotation></semantics></math></span><span class="katex-html" aria-hidden="true"><span class="strut" style="height:0.44444em;"></span><span class="strut bottom" style="height:0.44444em;vertical-align:0em;"></span><span class="base textstyle uncramped"><span class="mord textstyle uncramped"><span class="mord mathbf" style="margin-right:0.01597em;">w</span></span></span></span></span> by minimizing the following error:</p>
+<p><span class="katex-display"><span class="katex"><span class="katex-mathml"><math><semantics><mrow><mi>E</mi><mo>(</mo><mrow><mi mathvariant="bold">w</mi></mrow><mo>)</mo><mo>:</mo><mo>=</mo><mfrac><mrow><mn>1</mn></mrow><mrow><mi>n</mi></mrow></mfrac><msubsup><mo>∑</mo><mrow><mi>i</mi><mo>=</mo><mn>1</mn></mrow><mrow><mi>n</mi></mrow></msubsup><mi>L</mi><mo>(</mo><mrow><mi mathvariant="bold">w</mi></mrow><mo separator="true">;</mo><msub><mrow><mi mathvariant="bold">x</mi></mrow><mi>i</mi></msub><mo separator="true">,</mo><msub><mi>y</mi><mi>i</mi></msub><mo>)</mo><mo>+</mo><mi>λ</mi><mi>R</mi><mo>(</mo><mrow><mi mathvariant="bold">w</mi></mrow><mo>)</mo></mrow><annotation encoding="application/x-tex">
+E(\mathbf{w}) := \frac{1}{n} \sum_{i=1}^{n} L(\mathbf{w}; \mathbf{x}_i, y_i) + \lambda R(\mathbf{w})
+</annotation></semantics></math></span><span class="katex-html" aria-hidden="true"><span class="strut" style="height:1.6513970000000002em;"></span><span class="strut bottom" style="height:2.929066em;vertical-align:-1.277669em;"></span><span class="base displaystyle textstyle uncramped"><span class="mord mathit" style="margin-right:0.05764em;">E</span><span class="mopen">(</span><span class="mord displaystyle textstyle uncramped"><span class="mord mathbf" style="margin-right:0.01597em;">w</span></span><span class="mclose">)</span><span class="mrel">:</span><span class="mrel">=</span><span class="mord reset-textstyle displaystyle textstyle uncramped"><span class="mopen sizing reset-size5 size5 reset-textstyle textstyle uncramped nulldelimiter"></span><span class="mfrac"><span class="vlist"><span style="top:0.686em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="reset-textstyle textstyle cramped"><span class="mord texts
tyle cramped"><span class="mord mathit">n</span></span></span></span><span style="top:-0.22999999999999998em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="reset-textstyle textstyle uncramped frac-line"></span></span><span style="top:-0.677em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="reset-textstyle textstyle uncramped"><span class="mord textstyle uncramped"><span class="mord mathrm">1</span></span></span></span><span class="baseline-fix"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span>​</span></span></span><span class="mclose sizing reset-size5 size5 reset-textstyle textstyle uncramped nulldelimiter"></span></span><span class="mop op-limits"><span class="vlist"><span style="top:1.1776689999999999em;margin-left:0em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-siz
e:0em;">​</span></span><span class="reset-textstyle scriptstyle cramped mtight"><span class="mord scriptstyle cramped mtight"><span class="mord mathit mtight">i</span><span class="mrel mtight">=</span><span class="mord mathrm mtight">1</span></span></span></span><span style="top:-0.000005000000000143778em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span><span class="mop op-symbol large-op">∑</span></span></span><span style="top:-1.2500050000000003em;margin-left:0em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="reset-textstyle scriptstyle uncramped mtight"><span class="mord scriptstyle uncramped mtight"><span class="mord mathit mtight">n</span></span></span></span><span class="baseline-fix"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span>​</span></span></span><span class="mord mathit">L
</span><span class="mopen">(</span><span class="mord displaystyle textstyle uncramped"><span class="mord mathbf" style="margin-right:0.01597em;">w</span></span><span class="mpunct">;</span><span class="mord"><span class="mord displaystyle textstyle uncramped"><span class="mord mathbf">x</span></span><span class="msupsub"><span class="vlist"><span style="top:0.15em;margin-right:0.05em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="reset-textstyle scriptstyle cramped mtight"><span class="mord mathit mtight">i</span></span></span><span class="baseline-fix"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span>​</span></span></span></span><span class="mpunct">,</span><span class="mord"><span class="mord mathit" style="margin-right:0.03588em;">y</span><span class="msupsub"><span class="vlist"><span style="top:0.15em;margin-right:0.05em;margin-left:-0.03588em;"><span cl
ass="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="reset-textstyle scriptstyle cramped mtight"><span class="mord mathit mtight">i</span></span></span><span class="baseline-fix"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span>​</span></span></span></span><span class="mclose">)</span><span class="mbin">+</span><span class="mord mathit">λ</span><span class="mord mathit" style="margin-right:0.00773em;">R</span><span class="mopen">(</span><span class="mord displaystyle textstyle uncramped"><span class="mord mathbf" style="margin-right:0.01597em;">w</span></span><span class="mclose">)</span></span></span></span></span></p>
+<p>In the above formulation, there are two auxiliary functions we have to know: </p>
+<ul>
+<li><span class="katex"><span class="katex-mathml"><math><semantics><mrow><mi>L</mi><mo>(</mo><mrow><mi mathvariant="bold">w</mi></mrow><mo separator="true">;</mo><msub><mrow><mi mathvariant="bold">x</mi></mrow><mi>i</mi></msub><mo separator="true">,</mo><msub><mi>y</mi><mi>i</mi></msub><mo>)</mo></mrow><annotation encoding="application/x-tex">L(\mathbf{w}; \mathbf{x}_i, y_i)</annotation></semantics></math></span><span class="katex-html" aria-hidden="true"><span class="strut" style="height:0.75em;"></span><span class="strut bottom" style="height:1em;vertical-align:-0.25em;"></span><span class="base textstyle uncramped"><span class="mord mathit">L</span><span class="mopen">(</span><span class="mord textstyle uncramped"><span class="mord mathbf" style="margin-right:0.01597em;">w</span></span><span class="mpunct">;</span><span class="mord"><span class="mord textstyle uncramped"><span class="mord mathbf">x</span></span><span class="msupsub"><span class="vlist"><span style="top:0.15em;ma
rgin-right:0.05em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="reset-textstyle scriptstyle cramped mtight"><span class="mord mathit mtight">i</span></span></span><span class="baseline-fix"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span>​</span></span></span></span><span class="mpunct">,</span><span class="mord"><span class="mord mathit" style="margin-right:0.03588em;">y</span><span class="msupsub"><span class="vlist"><span style="top:0.15em;margin-right:0.05em;margin-left:-0.03588em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="reset-textstyle scriptstyle cramped mtight"><span class="mord mathit mtight">i</span></span></span><span class="baseline-fix"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span>​</span></span></span></span><s
pan class="mclose">)</span></span></span></span><ul>
+<li><strong>Loss function</strong> for a single sample <span class="katex"><span class="katex-mathml"><math><semantics><mrow><mo>(</mo><msub><mrow><mi mathvariant="bold">x</mi></mrow><mi>i</mi></msub><mo separator="true">,</mo><msub><mi>y</mi><mi>i</mi></msub><mo>)</mo></mrow><annotation encoding="application/x-tex">(\mathbf{x}_i, y_i)</annotation></semantics></math></span><span class="katex-html" aria-hidden="true"><span class="strut" style="height:0.75em;"></span><span class="strut bottom" style="height:1em;vertical-align:-0.25em;"></span><span class="base textstyle uncramped"><span class="mopen">(</span><span class="mord"><span class="mord textstyle uncramped"><span class="mord mathbf">x</span></span><span class="msupsub"><span class="vlist"><span style="top:0.15em;margin-right:0.05em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="reset-textstyle scriptstyle cramped mtight"><span class="mord mathit mtight">i</spa
n></span></span><span class="baseline-fix"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span>​</span></span></span></span><span class="mpunct">,</span><span class="mord"><span class="mord mathit" style="margin-right:0.03588em;">y</span><span class="msupsub"><span class="vlist"><span style="top:0.15em;margin-right:0.05em;margin-left:-0.03588em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="reset-textstyle scriptstyle cramped mtight"><span class="mord mathit mtight">i</span></span></span><span class="baseline-fix"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span>​</span></span></span></span><span class="mclose">)</span></span></span></span> and given <span class="katex"><span class="katex-mathml"><math><semantics><mrow><mrow><mi mathvariant="bold">w</mi></mrow></mrow><annotation encoding="application/x-te
x">\mathbf{w}</annotation></semantics></math></span><span class="katex-html" aria-hidden="true"><span class="strut" style="height:0.44444em;"></span><span class="strut bottom" style="height:0.44444em;vertical-align:0em;"></span><span class="base textstyle uncramped"><span class="mord textstyle uncramped"><span class="mord mathbf" style="margin-right:0.01597em;">w</span></span></span></span></span>.</li>
+<li>If this function produces small values, it means the parameter <span class="katex"><span class="katex-mathml"><math><semantics><mrow><mrow><mi mathvariant="bold">w</mi></mrow></mrow><annotation encoding="application/x-tex">\mathbf{w}</annotation></semantics></math></span><span class="katex-html" aria-hidden="true"><span class="strut" style="height:0.44444em;"></span><span class="strut bottom" style="height:0.44444em;vertical-align:0em;"></span><span class="base textstyle uncramped"><span class="mord textstyle uncramped"><span class="mord mathbf" style="margin-right:0.01597em;">w</span></span></span></span></span> is successfully learnt. </li>
+</ul>
+</li>
+<li><span class="katex"><span class="katex-mathml"><math><semantics><mrow><mi>R</mi><mo>(</mo><mrow><mi mathvariant="bold">w</mi></mrow><mo>)</mo></mrow><annotation encoding="application/x-tex">R(\mathbf{w})</annotation></semantics></math></span><span class="katex-html" aria-hidden="true"><span class="strut" style="height:0.75em;"></span><span class="strut bottom" style="height:1em;vertical-align:-0.25em;"></span><span class="base textstyle uncramped"><span class="mord mathit" style="margin-right:0.00773em;">R</span><span class="mopen">(</span><span class="mord textstyle uncramped"><span class="mord mathbf" style="margin-right:0.01597em;">w</span></span><span class="mclose">)</span></span></span></span><ul>
+<li><strong>Regularization function</strong> for the current parameter <span class="katex"><span class="katex-mathml"><math><semantics><mrow><mrow><mi mathvariant="bold">w</mi></mrow></mrow><annotation encoding="application/x-tex">\mathbf{w}</annotation></semantics></math></span><span class="katex-html" aria-hidden="true"><span class="strut" style="height:0.44444em;"></span><span class="strut bottom" style="height:0.44444em;vertical-align:0em;"></span><span class="base textstyle uncramped"><span class="mord textstyle uncramped"><span class="mord mathbf" style="margin-right:0.01597em;">w</span></span></span></span></span>.</li>
+<li>It prevents failing to a negative condition so-called <strong>over-fitting</strong>.</li>
+</ul>
+</li>
+</ul>
+<p>(<span class="katex"><span class="katex-mathml"><math><semantics><mrow><mi>λ</mi></mrow><annotation encoding="application/x-tex">\lambda</annotation></semantics></math></span><span class="katex-html" aria-hidden="true"><span class="strut" style="height:0.69444em;"></span><span class="strut bottom" style="height:0.69444em;vertical-align:0em;"></span><span class="base textstyle uncramped"><span class="mord mathit">λ</span></span></span></span> is a small value which controls the effect of regularization function.)</p>
+<p>Eventually, minimizing the function <span class="katex"><span class="katex-mathml"><math><semantics><mrow><mi>E</mi><mo>(</mo><mrow><mi mathvariant="bold">w</mi></mrow><mo>)</mo></mrow><annotation encoding="application/x-tex">E(\mathbf{w})</annotation></semantics></math></span><span class="katex-html" aria-hidden="true"><span class="strut" style="height:0.75em;"></span><span class="strut bottom" style="height:1em;vertical-align:-0.25em;"></span><span class="base textstyle uncramped"><span class="mord mathit" style="margin-right:0.05764em;">E</span><span class="mopen">(</span><span class="mord textstyle uncramped"><span class="mord mathbf" style="margin-right:0.01597em;">w</span></span><span class="mclose">)</span></span></span></span> can be implemented by the SGD technique as described before, and <span class="katex"><span class="katex-mathml"><math><semantics><mrow><mrow><mi mathvariant="bold">w</mi></mrow></mrow><annotation encoding="application/x-tex">\mathbf{w}</annotation><
/semantics></math></span><span class="katex-html" aria-hidden="true"><span class="strut" style="height:0.44444em;"></span><span class="strut bottom" style="height:0.44444em;vertical-align:0em;"></span><span class="base textstyle uncramped"><span class="mord textstyle uncramped"><span class="mord mathbf" style="margin-right:0.01597em;">w</span></span></span></span></span> itself is used as a "model" for future prediction.</p>
+<p>Interestingly, depending on a choice of loss and regularization function, prediction model you obtained will behave differently; even if one combination could work as a classifier, another choice might be appropriate for regression.</p>
+<p>Below we list possible options for <code>train_regressor</code> and <code>train_classifier</code>, and this is the reason why these two functions are the most flexible in Hivemall:</p>
+<ul>
+<li><p>Loss function: <code>-loss</code>, <code>-loss_function</code></p>
+<ul>
+<li>For <code>train_regressor</code><ul>
+<li>SquaredLoss (synonym: squared)</li>
+<li>QuantileLoss (synonym: quantile)</li>
+<li>EpsilonInsensitiveLoss (synonym: epsilon_insensitive)</li>
+<li>SquaredEpsilonInsensitiveLoss (synonym: squared_epsilon_insensitive)</li>
+<li>HuberLoss (synonym: huber)</li>
+</ul>
+</li>
+<li>For <code>train_classifier</code><ul>
+<li>HingeLoss (synonym: hinge)</li>
+<li>LogLoss (synonym: log, logistic)</li>
+<li>SquaredHingeLoss (synonym: squared_hinge)</li>
+<li>ModifiedHuberLoss (synonym: modified_huber)</li>
+<li>The following losses are mainly designed for regression but can sometimes be useful in classification as well:<ul>
+<li>SquaredLoss (synonym: squared)</li>
+<li>QuantileLoss (synonym: quantile)</li>
+<li>EpsilonInsensitiveLoss (synonym: epsilon_insensitive)</li>
+<li>SquaredEpsilonInsensitiveLoss (synonym: squared_epsilon_insensitive)</li>
+<li>HuberLoss (synonym: huber)</li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+</li>
+<li><p>Regularization function: <code>-reg</code>, <code>-regularization</code></p>
+<ul>
+<li>L1</li>
+<li>L2</li>
+<li>ElasticNet</li>
+<li>RDA</li>
+</ul>
+</li>
+</ul>
+<p>Additionally, there are several variants of the SGD technique, and it is also configurable as:</p>
+<ul>
+<li>Optimizer: <code>-opt</code>, <code>-optimizer</code><ul>
+<li>SGD</li>
+<li>AdaGrad</li>
+<li>AdaDelta</li>
+<li>Adam</li>
+</ul>
+</li>
+</ul>
+<div class="panel panel-primary"><div class="panel-heading"><h3 class="panel-title" id="note"><i class="fa fa-edit"></i> Note</h3></div><div class="panel-body"><p>Option values are case insensitive and you can use <code>sgd</code> or <code>rda</code>, or <code>huberloss</code> in lower-case letters.</p></div></div>
+<p>Furthermore, optimizer offers to set auxiliary options such as:</p>
+<ul>
+<li>Number of iterations: <code>-iter</code>, <code>-iterations</code> [default: 10]<ul>
+<li>Repeat optimizer's learning procedure more than once to diligently find better result.</li>
+</ul>
+</li>
+<li>Convergence rate: <code>-cv_rate</code>, <code>-convergence_rate</code> [default: 0.005]<ul>
+<li>Define a stopping criterion for the iterative training.</li>
+<li>If the criterion is too small or too large, you may encounter over-fitting or under-fitting depending on value of <code>-iter</code> option.</li>
+</ul>
+</li>
+<li>Mini-batch size: <code>-mini_batch</code>, <code>-mini_batch_size</code> [default: 1]<ul>
+<li>Instead of learning samples one-by-one, this option enables optimizer to utilize multiple samples at once to minimize the error function.</li>
+<li>Appropriate mini-batch size leads efficient training and effective prediction model.</li>
+</ul>
+</li>
+</ul>
+<p>For details of available options, following queries might be helpful to list all of them:</p>
+<pre><code class="lang-sql"><span class="hljs-keyword">select</span> train_regressor(<span class="hljs-built_in">array</span>(), <span class="hljs-number">0</span>, <span class="hljs-string">'-help'</span>);
+<span class="hljs-keyword">select</span> train_classifier(<span class="hljs-built_in">array</span>(), <span class="hljs-number">0</span>, <span class="hljs-string">'-help'</span>);
+</code></pre>
+<p>In practice, you can try different combinations of the options in order to achieve higher prediction accuracy.</p>
+<p><div id="page-footer" class="localized-footer"><hr><!--
+ Licensed to the Apache Software Foundation (ASF) under one
+ or more contributor license agreements. See the NOTICE file
+ distributed with this work for additional information
+ regarding copyright ownership. The ASF licenses this file
+ to you under the Apache License, Version 2.0 (the
+ "License"); you may not use this file except in compliance
+ with the License. You may obtain a copy of the License at
+
+ http://www.apache.org/licenses/LICENSE-2.0
+
+ Unless required by applicable law or agreed to in writing,
+ software distributed under the License is distributed on an
+ "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ KIND, either express or implied. See the License for the
+ specific language governing permissions and limitations
+ under the License.
+-->
+<p><sub><font color="gray">
+Apache Hivemall is an effort undergoing incubation at The Apache Software Foundation (ASF), sponsored by the Apache Incubator.
+</font></sub></p>
+</div></p>
+
+
+ </section>
+
+ </div>
+ <div class="search-results">
+ <div class="has-results">
+
+ <h1 class="search-results-title"><span class='search-results-count'></span> results matching "<span class='search-query'></span>"</h1>
+ <ul class="search-results-list"></ul>
+
+ </div>
+ <div class="no-results">
+
+ <h1 class="search-results-title">No results matching "<span class='search-query'></span>"</h1>
+
+ </div>
+ </div>
+</div>
+
+
<TRUNCATED>
[13/20] incubator-hivemall-site git commit: Added criteo example and
step-by-step guide for general classifier/regressor
Posted by my...@apache.org.
http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/6c6a1b42/userguide/ft_engineering/binning.html
----------------------------------------------------------------------
diff --git a/userguide/ft_engineering/binning.html b/userguide/ft_engineering/binning.html
index 44e09ac..7253292 100644
--- a/userguide/ft_engineering/binning.html
+++ b/userguide/ft_engineering/binning.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>
+
@@ -2512,7 +2578,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
<script>
var gitbook = gitbook || [];
gitbook.push(function() {
- gitbook.page.hasChanged({"page":{"title":"Feature Binning","level":"3.4","depth":1,"next":{"title":"Feature Paring","level":"3.5","depth":1,"path":"ft_engineering/pairing.md","ref":"ft_engineering/pairing.md","articles":[{"title":"Polynomial features","level":"3.5.1","depth":2,"path":"ft_engineering/polynomial.md","ref":"ft_engineering/polynomial.md","articles":[]}]},"previous":{"title":"Feature Selection","level":"3.3","depth":1,"path":"ft_engineering/selection.md","ref":"ft_engineering/selection.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":"st
yles/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":"ft_engineering/binning.md","mtime":"2017-12-11T08:48:01.131Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-06-06T09:01:20.330Z"},"basePath":"..","book":{"language":""}});
+ gitbook.page.hasChanged({"page":{"title":"Feature Binning","level":"3.4","depth":1,"next":{"title":"Feature Paring","level":"3.5","depth":1,"path":"ft_engineering/pairing.md","ref":"ft_engineering/pairing.md","articles":[{"title":"Polynomial features","level":"3.5.1","depth":2,"path":"ft_engineering/polynomial.md","ref":"ft_engineering/polynomial.md","articles":[]}]},"previous":{"title":"Feature Selection","level":"3.3","depth":1,"path":"ft_engineering/selection.md","ref":"ft_engineering/selection.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":"st
yles/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":"ft_engineering/binning.md","mtime":"2018-08-29T08:55:00.272Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-08-31T06:54:21.013Z"},"basePath":"..","book":{"language":""}});
});
</script>
</div>
@@ -2542,7 +2608,7 @@ 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/ft_engineering/ft_trans.html
----------------------------------------------------------------------
diff --git a/userguide/ft_engineering/ft_trans.html b/userguide/ft_engineering/ft_trans.html
index e342185..c196596 100644
--- a/userguide/ft_engineering/ft_trans.html
+++ b/userguide/ft_engineering/ft_trans.html
@@ -861,9 +861,9 @@
- <li class="chapter " data-level="5.1" data-path="../misc/prediction.html">
+ <li class="chapter " data-level="5.1" data-path="../supervised_learning/prediction.html">
- <a href="../misc/prediction.html">
+ <a href="../supervised_learning/prediction.html">
<b>5.1.</b>
@@ -876,6 +876,21 @@
</li>
+ <li class="chapter " data-level="5.2" data-path="../supervised_learning/tutorial.html">
+
+ <a href="../supervised_learning/tutorial.html">
+
+
+ <b>5.2.</b>
+
+ Step-by-Step Tutorial on Supervised Learning
+
+ </a>
+
+
+
+ </li>
+
@@ -1228,6 +1243,57 @@
</li>
+ <li class="chapter " data-level="6.8" data-path="../binaryclass/criteo.html">
+
+ <a href="../binaryclass/criteo.html">
+
+
+ <b>6.8.</b>
+
+ Criteo Tutorial
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="6.8.1" data-path="../binaryclass/criteo_dataset.html">
+
+ <a href="../binaryclass/criteo_dataset.html">
+
+
+ <b>6.8.1.</b>
+
+ Data preparation
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="6.8.2" data-path="../binaryclass/criteo_ffm.html">
+
+ <a href="../binaryclass/criteo_ffm.html">
+
+
+ <b>6.8.2.</b>
+
+ Field-Aware Factorization Machines
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
@@ -2270,7 +2336,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
<script>
var gitbook = gitbook || [];
gitbook.push(function() {
- gitbook.page.hasChanged({"page":{"title":"Feature Transformation","level":"3.6","depth":1,"next":{"title":"Feature vectorization","level":"3.6.1","depth":2,"path":"ft_engineering/vectorization.md","ref":"ft_engineering/vectorization.md","articles":[]},"previous":{"title":"Polynomial features","level":"3.5.1","depth":2,"path":"ft_engineering/polynomial.md","ref":"ft_engineering/polynomial.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":"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":"ft_engineering/ft_trans.md","mtime":"2017-12-11T08:48:01.132Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-06-06T09:01:20.330Z"},"basePath":"..","book":{"language":""}});
+ gitbook.page.hasChanged({"page":{"title":"Feature Transformation","level":"3.6","depth":1,"next":{"title":"Feature vectorization","level":"3.6.1","depth":2,"path":"ft_engineering/vectorization.md","ref":"ft_engineering/vectorization.md","articles":[]},"previous":{"title":"Polynomial features","level":"3.5.1","depth":2,"path":"ft_engineering/polynomial.md","ref":"ft_engineering/polynomial.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":"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":"ft_engineering/ft_trans.md","mtime":"2018-08-29T08:55:00.272Z","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/ft_engineering/hashing.html
----------------------------------------------------------------------
diff --git a/userguide/ft_engineering/hashing.html b/userguide/ft_engineering/hashing.html
index 8bfab33..6a5c284 100644
--- a/userguide/ft_engineering/hashing.html
+++ b/userguide/ft_engineering/hashing.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>
+
@@ -2381,7 +2447,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
<script>
var gitbook = gitbook || [];
gitbook.push(function() {
- gitbook.page.hasChanged({"page":{"title":"Feature Hashing","level":"3.2","depth":1,"next":{"title":"Feature Selection","level":"3.3","depth":1,"path":"ft_engineering/selection.md","ref":"ft_engineering/selection.md","articles":[]},"previous":{"title":"Feature Scaling","level":"3.1","depth":1,"path":"ft_engineering/scaling.md","ref":"ft_engineering/scaling.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},"anchorj
s":{"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":"ft_engineering/hashing.md","mtime":"2017-12-11T08:48:01.132Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-06-06T09:01:20.330Z"},"basePath":"..","book":{"language":""}});
+ gitbook.page.hasChanged({"page":{"title":"Feature Hashing","level":"3.2","depth":1,"next":{"title":"Feature Selection","level":"3.3","depth":1,"path":"ft_engineering/selection.md","ref":"ft_engineering/selection.md","articles":[]},"previous":{"title":"Feature Scaling","level":"3.1","depth":1,"path":"ft_engineering/scaling.md","ref":"ft_engineering/scaling.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},"anchorj
s":{"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":"ft_engineering/hashing.md","mtime":"2018-08-29T08:55:00.272Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-08-31T06:54:21.013Z"},"basePath":"..","book":{"language":""}});
});
</script>
</div>
@@ -2411,7 +2477,7 @@ 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/ft_engineering/pairing.html
----------------------------------------------------------------------
diff --git a/userguide/ft_engineering/pairing.html b/userguide/ft_engineering/pairing.html
index 23870ff..18fe968 100644
--- a/userguide/ft_engineering/pairing.html
+++ b/userguide/ft_engineering/pairing.html
@@ -861,9 +861,9 @@
- <li class="chapter " data-level="5.1" data-path="../misc/prediction.html">
+ <li class="chapter " data-level="5.1" data-path="../supervised_learning/prediction.html">
- <a href="../misc/prediction.html">
+ <a href="../supervised_learning/prediction.html">
<b>5.1.</b>
@@ -876,6 +876,21 @@
</li>
+ <li class="chapter " data-level="5.2" data-path="../supervised_learning/tutorial.html">
+
+ <a href="../supervised_learning/tutorial.html">
+
+
+ <b>5.2.</b>
+
+ Step-by-Step Tutorial on Supervised Learning
+
+ </a>
+
+
+
+ </li>
+
@@ -1228,6 +1243,57 @@
</li>
+ <li class="chapter " data-level="6.8" data-path="../binaryclass/criteo.html">
+
+ <a href="../binaryclass/criteo.html">
+
+
+ <b>6.8.</b>
+
+ Criteo Tutorial
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="6.8.1" data-path="../binaryclass/criteo_dataset.html">
+
+ <a href="../binaryclass/criteo_dataset.html">
+
+
+ <b>6.8.1.</b>
+
+ Data preparation
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="6.8.2" data-path="../binaryclass/criteo_ffm.html">
+
+ <a href="../binaryclass/criteo_ffm.html">
+
+
+ <b>6.8.2.</b>
+
+ Field-Aware Factorization Machines
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
@@ -2270,7 +2336,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
<script>
var gitbook = gitbook || [];
gitbook.push(function() {
- gitbook.page.hasChanged({"page":{"title":"Feature Paring","level":"3.5","depth":1,"next":{"title":"Polynomial features","level":"3.5.1","depth":2,"path":"ft_engineering/polynomial.md","ref":"ft_engineering/polynomial.md","articles":[]},"previous":{"title":"Feature Binning","level":"3.4","depth":1,"path":"ft_engineering/binning.md","ref":"ft_engineering/binning.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/"},"spl
itter":{},"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},"an
chorjs":{"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":"ft_engineering/pairing.md","mtime":"2017-12-11T08:48:01.132Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-06-06T09:01:20.330Z"},"basePath":"..","book":{"language":""}});
+ gitbook.page.hasChanged({"page":{"title":"Feature Paring","level":"3.5","depth":1,"next":{"title":"Polynomial features","level":"3.5.1","depth":2,"path":"ft_engineering/polynomial.md","ref":"ft_engineering/polynomial.md","articles":[]},"previous":{"title":"Feature Binning","level":"3.4","depth":1,"path":"ft_engineering/binning.md","ref":"ft_engineering/binning.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/"},"spl
itter":{},"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},"an
chorjs":{"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":"ft_engineering/pairing.md","mtime":"2018-08-29T08:55:00.272Z","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/ft_engineering/polynomial.html
----------------------------------------------------------------------
diff --git a/userguide/ft_engineering/polynomial.html b/userguide/ft_engineering/polynomial.html
index e11330e..ece0396 100644
--- a/userguide/ft_engineering/polynomial.html
+++ b/userguide/ft_engineering/polynomial.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>
+
@@ -2318,7 +2384,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
<script>
var gitbook = gitbook || [];
gitbook.push(function() {
- gitbook.page.hasChanged({"page":{"title":"Polynomial features","level":"3.5.1","depth":2,"next":{"title":"Feature Transformation","level":"3.6","depth":1,"path":"ft_engineering/ft_trans.md","ref":"ft_engineering/ft_trans.md","articles":[{"title":"Feature vectorization","level":"3.6.1","depth":2,"path":"ft_engineering/vectorization.md","ref":"ft_engineering/vectorization.md","articles":[]},{"title":"Quantify non-number features","level":"3.6.2","depth":2,"path":"ft_engineering/quantify.md","ref":"ft_engineering/quantify.md","articles":[]}]},"previous":{"title":"Feature Paring","level":"3.5","depth":1,"path":"ft_engineering/pairing.md","ref":"ft_engineering/pairing.md","articles":[{"title":"Polynomial features","level":"3.5.1","depth":2,"path":"ft_engineering/polynomial.md","ref":"ft_engineering/polynomial.md","articles":[]}]},"dir":"ltr"},"config":{"plugins":["theme-api","edit-link","github","splitter","sitemap","etoc","callouts","toggle-chapters","anchorjs","codeblock-fi
lename","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.or
g/"}},"gitbook":"3.x.x","description":"User Manual for Apache Hivemall"},"file":{"path":"ft_engineering/polynomial.md","mtime":"2017-12-11T08:48:01.132Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-06-06T09:01:20.330Z"},"basePath":"..","book":{"language":""}});
+ gitbook.page.hasChanged({"page":{"title":"Polynomial features","level":"3.5.1","depth":2,"next":{"title":"Feature Transformation","level":"3.6","depth":1,"path":"ft_engineering/ft_trans.md","ref":"ft_engineering/ft_trans.md","articles":[{"title":"Feature vectorization","level":"3.6.1","depth":2,"path":"ft_engineering/vectorization.md","ref":"ft_engineering/vectorization.md","articles":[]},{"title":"Quantify non-number features","level":"3.6.2","depth":2,"path":"ft_engineering/quantify.md","ref":"ft_engineering/quantify.md","articles":[]}]},"previous":{"title":"Feature Paring","level":"3.5","depth":1,"path":"ft_engineering/pairing.md","ref":"ft_engineering/pairing.md","articles":[{"title":"Polynomial features","level":"3.5.1","depth":2,"path":"ft_engineering/polynomial.md","ref":"ft_engineering/polynomial.md","articles":[]}]},"dir":"ltr"},"config":{"plugins":["theme-api","edit-link","github","splitter","sitemap","etoc","callouts","toggle-chapters","anchorjs","codeblock-fi
lename","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.or
g/"}},"gitbook":"3.x.x","description":"User Manual for Apache Hivemall"},"file":{"path":"ft_engineering/polynomial.md","mtime":"2018-08-29T08:55:00.273Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-08-31T06:54:21.013Z"},"basePath":"..","book":{"language":""}});
});
</script>
</div>
@@ -2348,7 +2414,7 @@ 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/ft_engineering/quantify.html
----------------------------------------------------------------------
diff --git a/userguide/ft_engineering/quantify.html b/userguide/ft_engineering/quantify.html
index 75ef94e..56c80e2 100644
--- a/userguide/ft_engineering/quantify.html
+++ b/userguide/ft_engineering/quantify.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>
+
@@ -2418,7 +2484,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
<script>
var gitbook = gitbook || [];
gitbook.push(function() {
- gitbook.page.hasChanged({"page":{"title":"Quantify non-number features","level":"3.6.2","depth":2,"next":{"title":"TF-IDF Calculation","level":"3.7","depth":1,"path":"ft_engineering/tfidf.md","ref":"ft_engineering/tfidf.md","articles":[]},"previous":{"title":"Feature vectorization","level":"3.6.1","depth":2,"path":"ft_engineering/vectorization.md","ref":"ft_engineering/vectorization.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/inc
ubator-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":"ft_engineering/quantify.md","mtime":"2017-12-11T08:48:01.132Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-06-06T09:01:20.330Z"},"basePath":"..","book":{"language":""}});
+ gitbook.page.hasChanged({"page":{"title":"Quantify non-number features","level":"3.6.2","depth":2,"next":{"title":"TF-IDF Calculation","level":"3.7","depth":1,"path":"ft_engineering/tfidf.md","ref":"ft_engineering/tfidf.md","articles":[]},"previous":{"title":"Feature vectorization","level":"3.6.1","depth":2,"path":"ft_engineering/vectorization.md","ref":"ft_engineering/vectorization.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/inc
ubator-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":"ft_engineering/quantify.md","mtime":"2018-08-29T08:55:00.273Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-08-31T06:54:21.013Z"},"basePath":"..","book":{"language":""}});
});
</script>
</div>
@@ -2448,7 +2514,7 @@ 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/ft_engineering/scaling.html
----------------------------------------------------------------------
diff --git a/userguide/ft_engineering/scaling.html b/userguide/ft_engineering/scaling.html
index 57c2184..fce003d 100644
--- a/userguide/ft_engineering/scaling.html
+++ b/userguide/ft_engineering/scaling.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>
+
@@ -2445,7 +2511,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
<script>
var gitbook = gitbook || [];
gitbook.push(function() {
- gitbook.page.hasChanged({"page":{"title":"Feature Scaling","level":"3.1","depth":1,"next":{"title":"Feature Hashing","level":"3.2","depth":1,"path":"ft_engineering/hashing.md","ref":"ft_engineering/hashing.md","articles":[]},"previous":{"title":"Approximate Aggregate Functions","level":"2.4","depth":1,"path":"misc/approx.md","ref":"misc/approx.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":{"selecto
r":"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":"ft_engineering/scaling.md","mtime":"2017-12-26T05:22:28.146Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-06-06T09:01:20.330Z"},"basePath":"..","book":{"language":""}});
+ gitbook.page.hasChanged({"page":{"title":"Feature Scaling","level":"3.1","depth":1,"next":{"title":"Feature Hashing","level":"3.2","depth":1,"path":"ft_engineering/hashing.md","ref":"ft_engineering/hashing.md","articles":[]},"previous":{"title":"Approximate Aggregate Functions","level":"2.4","depth":1,"path":"misc/approx.md","ref":"misc/approx.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":{"selecto
r":"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":"ft_engineering/scaling.md","mtime":"2018-08-29T08:55:00.273Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-08-31T06:54:21.013Z"},"basePath":"..","book":{"language":""}});
});
</script>
</div>
@@ -2475,7 +2541,7 @@ 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/ft_engineering/selection.html
----------------------------------------------------------------------
diff --git a/userguide/ft_engineering/selection.html b/userguide/ft_engineering/selection.html
index 2afa706..ce67253 100644
--- a/userguide/ft_engineering/selection.html
+++ b/userguide/ft_engineering/selection.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>
+
@@ -2477,7 +2543,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
<script>
var gitbook = gitbook || [];
gitbook.push(function() {
- gitbook.page.hasChanged({"page":{"title":"Feature Selection","level":"3.3","depth":1,"next":{"title":"Feature Binning","level":"3.4","depth":1,"path":"ft_engineering/binning.md","ref":"ft_engineering/binning.md","articles":[]},"previous":{"title":"Feature Hashing","level":"3.2","depth":1,"path":"ft_engineering/hashing.md","ref":"ft_engineering/hashing.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":"ft_engineering/selection.md","mtime":"2017-12-11T08:48:01.133Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-06-06T09:01:20.330Z"},"basePath":"..","book":{"language":""}});
+ gitbook.page.hasChanged({"page":{"title":"Feature Selection","level":"3.3","depth":1,"next":{"title":"Feature Binning","level":"3.4","depth":1,"path":"ft_engineering/binning.md","ref":"ft_engineering/binning.md","articles":[]},"previous":{"title":"Feature Hashing","level":"3.2","depth":1,"path":"ft_engineering/hashing.md","ref":"ft_engineering/hashing.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":"ft_engineering/selection.md","mtime":"2018-08-29T08:55:00.273Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-08-31T06:54:21.013Z"},"basePath":"..","book":{"language":""}});
});
</script>
</div>
@@ -2507,7 +2573,7 @@ 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/ft_engineering/tfidf.html
----------------------------------------------------------------------
diff --git a/userguide/ft_engineering/tfidf.html b/userguide/ft_engineering/tfidf.html
index 41909ed..fadf009 100644
--- a/userguide/ft_engineering/tfidf.html
+++ b/userguide/ft_engineering/tfidf.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>
+
@@ -2411,7 +2477,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
<script>
var gitbook = gitbook || [];
gitbook.push(function() {
- gitbook.page.hasChanged({"page":{"title":"TF-IDF Calculation","level":"3.7","depth":1,"next":{"title":"Binary Classification Metrics","level":"4.1","depth":1,"path":"eval/binary_classification_measures.md","ref":"eval/binary_classification_measures.md","articles":[{"title":"Area under the ROC curve","level":"4.1.1","depth":2,"path":"eval/auc.md","ref":"eval/auc.md","articles":[]}]},"previous":{"title":"Quantify non-number features","level":"3.6.2","depth":2,"path":"ft_engineering/quantify.md","ref":"ft_engineering/quantify.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":"sty
les/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":"ft_engineering/tfidf.md","mtime":"2017-12-11T08:48:01.133Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-06-06T09:01:20.330Z"},"basePath":"..","book":{"language":""}});
+ gitbook.page.hasChanged({"page":{"title":"TF-IDF Calculation","level":"3.7","depth":1,"next":{"title":"Binary Classification Metrics","level":"4.1","depth":1,"path":"eval/binary_classification_measures.md","ref":"eval/binary_classification_measures.md","articles":[{"title":"Area under the ROC curve","level":"4.1.1","depth":2,"path":"eval/auc.md","ref":"eval/auc.md","articles":[]}]},"previous":{"title":"Quantify non-number features","level":"3.6.2","depth":2,"path":"ft_engineering/quantify.md","ref":"ft_engineering/quantify.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":"sty
les/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":"ft_engineering/tfidf.md","mtime":"2018-08-29T08:55:00.273Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-08-31T06:54:21.013Z"},"basePath":"..","book":{"language":""}});
});
</script>
</div>
@@ -2441,7 +2507,7 @@ 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>
[17/20] incubator-hivemall-site git commit: Added criteo example and
step-by-step guide for general classifier/regressor
Posted by my...@apache.org.
http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/6c6a1b42/userguide/binaryclass/criteo_ffm.html
----------------------------------------------------------------------
diff --git a/userguide/binaryclass/criteo_ffm.html b/userguide/binaryclass/criteo_ffm.html
new file mode 100644
index 0000000..acaec48
--- /dev/null
+++ b/userguide/binaryclass/criteo_ffm.html
@@ -0,0 +1,2708 @@
+
+<!DOCTYPE HTML>
+<html lang="" >
+ <head>
+ <meta charset="UTF-8">
+ <meta content="text/html; charset=utf-8" http-equiv="Content-Type">
+ <title>Field-Aware Factorization Machines · Hivemall User Manual</title>
+ <meta http-equiv="X-UA-Compatible" content="IE=edge" />
+ <meta name="description" content="">
+ <meta name="generator" content="GitBook 3.2.3">
+
+
+
+
+ <link rel="stylesheet" href="../gitbook/style.css">
+
+
+
+
+ <link rel="stylesheet" href="../gitbook/gitbook-plugin-splitter/splitter.css">
+
+
+
+ <link rel="stylesheet" href="../gitbook/gitbook-plugin-etoc/plugin.css">
+
+
+
+ <link rel="stylesheet" href="../gitbook/gitbook-plugin-callouts/plugin.css">
+
+
+
+ <link rel="stylesheet" href="../gitbook/gitbook-plugin-toggle-chapters/toggle.css">
+
+
+
+ <link rel="stylesheet" href="../gitbook/gitbook-plugin-codeblock-filename/block.css">
+
+
+
+ <link rel="stylesheet" href="../gitbook/gitbook-plugin-expandable-chapters/expandable-chapters.css">
+
+
+
+ <link rel="stylesheet" href="../gitbook/gitbook-plugin-multipart/multipart.css">
+
+
+
+ <link rel="stylesheet" href="../gitbook/gitbook-plugin-katex/katex.min.css">
+
+
+
+ <link rel="stylesheet" href="../gitbook/gitbook-plugin-emphasize/plugin.css">
+
+
+
+ <link rel="stylesheet" href="../gitbook/gitbook-plugin-highlight/website.css">
+
+
+
+ <link rel="stylesheet" href="../gitbook/gitbook-plugin-search/search.css">
+
+
+
+ <link rel="stylesheet" href="../gitbook/gitbook-plugin-fontsettings/website.css">
+
+
+
+ <link rel="stylesheet" href="../gitbook/gitbook-plugin-theme-api/theme-api.css">
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+ <meta name="HandheldFriendly" content="true"/>
+ <meta name="viewport" content="width=device-width, initial-scale=1, user-scalable=no">
+ <meta name="apple-mobile-web-app-capable" content="yes">
+ <meta name="apple-mobile-web-app-status-bar-style" content="black">
+ <link rel="apple-touch-icon-precomposed" sizes="152x152" href="../gitbook/images/apple-touch-icon-precomposed-152.png">
+ <link rel="shortcut icon" href="../gitbook/images/favicon.ico" type="image/x-icon">
+
+
+ <link rel="next" href="../multiclass/news20.html" />
+
+
+ <link rel="prev" href="criteo_dataset.html" />
+
+
+ </head>
+ <body>
+
+<div class="book">
+ <div class="book-summary">
+
+
+<div id="book-search-input" role="search">
+ <input type="text" placeholder="Type to search" />
+</div>
+
+
+ <nav role="navigation">
+
+
+
+<ul class="summary">
+
+
+
+
+ <li>
+ <a href="http://hivemall.incubator.apache.org/" target="_blank" class="custom-link"><i class="fa fa-home"></i> Home</a>
+ </li>
+
+
+
+
+ <li class="divider"></li>
+
+
+
+
+ <li class="header">TABLE OF CONTENTS</li>
+
+
+
+ <li class="chapter " data-level="1.1" data-path="../">
+
+ <a href="../">
+
+
+ <b>1.1.</b>
+
+ Introduction
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="1.2" data-path="../getting_started/">
+
+ <a href="../getting_started/">
+
+
+ <b>1.2.</b>
+
+ Getting Started
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="1.2.1" data-path="../getting_started/installation.html">
+
+ <a href="../getting_started/installation.html">
+
+
+ <b>1.2.1.</b>
+
+ Installation
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="1.2.2" data-path="../getting_started/permanent-functions.html">
+
+ <a href="../getting_started/permanent-functions.html">
+
+
+ <b>1.2.2.</b>
+
+ Install as permanent functions
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="1.2.3" data-path="../getting_started/input-format.html">
+
+ <a href="../getting_started/input-format.html">
+
+
+ <b>1.2.3.</b>
+
+ Input Format
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+ <li class="chapter " data-level="1.3" data-path="../misc/funcs.html">
+
+ <a href="../misc/funcs.html">
+
+
+ <b>1.3.</b>
+
+ List of Functions
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="1.4" data-path="../tips/">
+
+ <a href="../tips/">
+
+
+ <b>1.4.</b>
+
+ Tips for Effective Hivemall
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="1.4.1" data-path="../tips/addbias.html">
+
+ <a href="../tips/addbias.html">
+
+
+ <b>1.4.1.</b>
+
+ Explicit add_bias() for better prediction
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="1.4.2" data-path="../tips/rand_amplify.html">
+
+ <a href="../tips/rand_amplify.html">
+
+
+ <b>1.4.2.</b>
+
+ Use rand_amplify() to better prediction results
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="1.4.3" data-path="../tips/rt_prediction.html">
+
+ <a href="../tips/rt_prediction.html">
+
+
+ <b>1.4.3.</b>
+
+ Real-time prediction on RDBMS
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="1.4.4" data-path="../tips/ensemble_learning.html">
+
+ <a href="../tips/ensemble_learning.html">
+
+
+ <b>1.4.4.</b>
+
+ Ensemble learning for stable prediction
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="1.4.5" data-path="../tips/mixserver.html">
+
+ <a href="../tips/mixserver.html">
+
+
+ <b>1.4.5.</b>
+
+ Mixing models for a better prediction convergence (MIX server)
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="1.4.6" data-path="../tips/emr.html">
+
+ <a href="../tips/emr.html">
+
+
+ <b>1.4.6.</b>
+
+ Run Hivemall on Amazon Elastic MapReduce
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+ <li class="chapter " data-level="1.5" data-path="../tips/general_tips.html">
+
+ <a href="../tips/general_tips.html">
+
+
+ <b>1.5.</b>
+
+ General Hive/Hadoop Tips
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="1.5.1" data-path="../tips/rowid.html">
+
+ <a href="../tips/rowid.html">
+
+
+ <b>1.5.1.</b>
+
+ Adding rowid for each row
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="1.5.2" data-path="../tips/hadoop_tuning.html">
+
+ <a href="../tips/hadoop_tuning.html">
+
+
+ <b>1.5.2.</b>
+
+ Hadoop tuning for Hivemall
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+ <li class="chapter " data-level="1.6" data-path="../troubleshooting/">
+
+ <a href="../troubleshooting/">
+
+
+ <b>1.6.</b>
+
+ Troubleshooting
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="1.6.1" data-path="../troubleshooting/oom.html">
+
+ <a href="../troubleshooting/oom.html">
+
+
+ <b>1.6.1.</b>
+
+ OutOfMemoryError in training
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="1.6.2" data-path="../troubleshooting/mapjoin_task_error.html">
+
+ <a href="../troubleshooting/mapjoin_task_error.html">
+
+
+ <b>1.6.2.</b>
+
+ SemanticException generate map join task error: Cannot serialize object
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="1.6.3" data-path="../troubleshooting/asterisk.html">
+
+ <a href="../troubleshooting/asterisk.html">
+
+
+ <b>1.6.3.</b>
+
+ Asterisk argument for UDTF does not work
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="1.6.4" data-path="../troubleshooting/num_mappers.html">
+
+ <a href="../troubleshooting/num_mappers.html">
+
+
+ <b>1.6.4.</b>
+
+ The number of mappers is less than input splits in Hadoop 2.x
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="1.6.5" data-path="../troubleshooting/mapjoin_classcastex.html">
+
+ <a href="../troubleshooting/mapjoin_classcastex.html">
+
+
+ <b>1.6.5.</b>
+
+ Map-side join causes ClassCastException on Tez
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+
+
+
+ <li class="header">Part II - Generic Features</li>
+
+
+
+ <li class="chapter " data-level="2.1" data-path="../misc/generic_funcs.html">
+
+ <a href="../misc/generic_funcs.html">
+
+
+ <b>2.1.</b>
+
+ List of Generic Hivemall Functions
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="2.2" data-path="../misc/topk.html">
+
+ <a href="../misc/topk.html">
+
+
+ <b>2.2.</b>
+
+ Efficient Top-K Query Processing
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="2.3" data-path="../misc/tokenizer.html">
+
+ <a href="../misc/tokenizer.html">
+
+
+ <b>2.3.</b>
+
+ Text Tokenizer
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="2.4" data-path="../misc/approx.html">
+
+ <a href="../misc/approx.html">
+
+
+ <b>2.4.</b>
+
+ Approximate Aggregate Functions
+
+ </a>
+
+
+
+ </li>
+
+
+
+
+ <li class="header">Part III - Feature Engineering</li>
+
+
+
+ <li class="chapter " data-level="3.1" data-path="../ft_engineering/scaling.html">
+
+ <a href="../ft_engineering/scaling.html">
+
+
+ <b>3.1.</b>
+
+ Feature Scaling
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="3.2" data-path="../ft_engineering/hashing.html">
+
+ <a href="../ft_engineering/hashing.html">
+
+
+ <b>3.2.</b>
+
+ Feature Hashing
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="3.3" data-path="../ft_engineering/selection.html">
+
+ <a href="../ft_engineering/selection.html">
+
+
+ <b>3.3.</b>
+
+ Feature Selection
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="3.4" data-path="../ft_engineering/binning.html">
+
+ <a href="../ft_engineering/binning.html">
+
+
+ <b>3.4.</b>
+
+ Feature Binning
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="3.5" data-path="../ft_engineering/pairing.html">
+
+ <a href="../ft_engineering/pairing.html">
+
+
+ <b>3.5.</b>
+
+ Feature Paring
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="3.5.1" data-path="../ft_engineering/polynomial.html">
+
+ <a href="../ft_engineering/polynomial.html">
+
+
+ <b>3.5.1.</b>
+
+ Polynomial features
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+ <li class="chapter " data-level="3.6" data-path="../ft_engineering/ft_trans.html">
+
+ <a href="../ft_engineering/ft_trans.html">
+
+
+ <b>3.6.</b>
+
+ Feature Transformation
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="3.6.1" data-path="../ft_engineering/vectorization.html">
+
+ <a href="../ft_engineering/vectorization.html">
+
+
+ <b>3.6.1.</b>
+
+ Feature vectorization
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="3.6.2" data-path="../ft_engineering/quantify.html">
+
+ <a href="../ft_engineering/quantify.html">
+
+
+ <b>3.6.2.</b>
+
+ Quantify non-number features
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+ <li class="chapter " data-level="3.7" data-path="../ft_engineering/tfidf.html">
+
+ <a href="../ft_engineering/tfidf.html">
+
+
+ <b>3.7.</b>
+
+ TF-IDF Calculation
+
+ </a>
+
+
+
+ </li>
+
+
+
+
+ <li class="header">Part IV - Evaluation</li>
+
+
+
+ <li class="chapter " data-level="4.1" data-path="../eval/binary_classification_measures.html">
+
+ <a href="../eval/binary_classification_measures.html">
+
+
+ <b>4.1.</b>
+
+ Binary Classification Metrics
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="4.1.1" data-path="../eval/auc.html">
+
+ <a href="../eval/auc.html">
+
+
+ <b>4.1.1.</b>
+
+ Area under the ROC curve
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+ <li class="chapter " data-level="4.2" data-path="../eval/multilabel_classification_measures.html">
+
+ <a href="../eval/multilabel_classification_measures.html">
+
+
+ <b>4.2.</b>
+
+ Multi-label Classification Metrics
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="4.3" data-path="../eval/regression.html">
+
+ <a href="../eval/regression.html">
+
+
+ <b>4.3.</b>
+
+ Regression Metrics
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="4.4" data-path="../eval/rank.html">
+
+ <a href="../eval/rank.html">
+
+
+ <b>4.4.</b>
+
+ Ranking Measures
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="4.5" data-path="../eval/datagen.html">
+
+ <a href="../eval/datagen.html">
+
+
+ <b>4.5.</b>
+
+ Data Generation
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="4.5.1" data-path="../eval/lr_datagen.html">
+
+ <a href="../eval/lr_datagen.html">
+
+
+ <b>4.5.1.</b>
+
+ Logistic Regression data generation
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+
+
+
+ <li class="header">Part V - Supervised Learning</li>
+
+
+
+ <li class="chapter " data-level="5.1" data-path="../supervised_learning/prediction.html">
+
+ <a href="../supervised_learning/prediction.html">
+
+
+ <b>5.1.</b>
+
+ How Prediction Works
+
+ </a>
+
+
+
+ </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>
+
+
+
+
+ <li class="header">Part VI - Binary Classification</li>
+
+
+
+ <li class="chapter " data-level="6.1" data-path="general.html">
+
+ <a href="general.html">
+
+
+ <b>6.1.</b>
+
+ Binary Classification
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="6.2" data-path="a9a.html">
+
+ <a href="a9a.html">
+
+
+ <b>6.2.</b>
+
+ a9a Tutorial
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="6.2.1" data-path="a9a_dataset.html">
+
+ <a href="a9a_dataset.html">
+
+
+ <b>6.2.1.</b>
+
+ Data preparation
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="6.2.2" data-path="a9a_lr.html">
+
+ <a href="a9a_lr.html">
+
+
+ <b>6.2.2.</b>
+
+ Logistic Regression
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="6.2.3" data-path="a9a_minibatch.html">
+
+ <a href="a9a_minibatch.html">
+
+
+ <b>6.2.3.</b>
+
+ Mini-batch gradient descent
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+ <li class="chapter " data-level="6.3" data-path="news20.html">
+
+ <a href="news20.html">
+
+
+ <b>6.3.</b>
+
+ News20 Tutorial
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="6.3.1" data-path="news20_dataset.html">
+
+ <a href="news20_dataset.html">
+
+
+ <b>6.3.1.</b>
+
+ Data preparation
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="6.3.2" data-path="news20_pa.html">
+
+ <a href="news20_pa.html">
+
+
+ <b>6.3.2.</b>
+
+ Perceptron, Passive Aggressive
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="6.3.3" data-path="news20_scw.html">
+
+ <a href="news20_scw.html">
+
+
+ <b>6.3.3.</b>
+
+ CW, AROW, SCW
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="6.3.4" data-path="news20_adagrad.html">
+
+ <a href="news20_adagrad.html">
+
+
+ <b>6.3.4.</b>
+
+ AdaGradRDA, AdaGrad, AdaDelta
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="6.3.5" data-path="news20_rf.html">
+
+ <a href="news20_rf.html">
+
+
+ <b>6.3.5.</b>
+
+ Random Forest
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+ <li class="chapter " data-level="6.4" data-path="kdd2010a.html">
+
+ <a href="kdd2010a.html">
+
+
+ <b>6.4.</b>
+
+ KDD2010a Tutorial
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="6.4.1" data-path="kdd2010a_dataset.html">
+
+ <a href="kdd2010a_dataset.html">
+
+
+ <b>6.4.1.</b>
+
+ Data preparation
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="6.4.2" data-path="kdd2010a_scw.html">
+
+ <a href="kdd2010a_scw.html">
+
+
+ <b>6.4.2.</b>
+
+ PA, CW, AROW, SCW
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+ <li class="chapter " data-level="6.5" data-path="kdd2010b.html">
+
+ <a href="kdd2010b.html">
+
+
+ <b>6.5.</b>
+
+ KDD2010b Tutorial
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="6.5.1" data-path="kdd2010b_dataset.html">
+
+ <a href="kdd2010b_dataset.html">
+
+
+ <b>6.5.1.</b>
+
+ Data preparation
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="6.5.2" data-path="kdd2010b_arow.html">
+
+ <a href="kdd2010b_arow.html">
+
+
+ <b>6.5.2.</b>
+
+ AROW
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+ <li class="chapter " data-level="6.6" data-path="webspam.html">
+
+ <a href="webspam.html">
+
+
+ <b>6.6.</b>
+
+ Webspam Tutorial
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="6.6.1" data-path="webspam_dataset.html">
+
+ <a href="webspam_dataset.html">
+
+
+ <b>6.6.1.</b>
+
+ Data pareparation
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="6.6.2" data-path="webspam_scw.html">
+
+ <a href="webspam_scw.html">
+
+
+ <b>6.6.2.</b>
+
+ PA1, AROW, SCW
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+ <li class="chapter " data-level="6.7" data-path="titanic_rf.html">
+
+ <a href="titanic_rf.html">
+
+
+ <b>6.7.</b>
+
+ Kaggle Titanic Tutorial
+
+ </a>
+
+
+
+ </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 active" 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>
+
+
+
+
+ <li class="header">Part VII - Multiclass Classification</li>
+
+
+
+ <li class="chapter " data-level="7.1" data-path="../multiclass/news20.html">
+
+ <a href="../multiclass/news20.html">
+
+
+ <b>7.1.</b>
+
+ News20 Multiclass Tutorial
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="7.1.1" data-path="../multiclass/news20_dataset.html">
+
+ <a href="../multiclass/news20_dataset.html">
+
+
+ <b>7.1.1.</b>
+
+ Data preparation
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="7.1.2" data-path="../multiclass/news20_one-vs-the-rest_dataset.html">
+
+ <a href="../multiclass/news20_one-vs-the-rest_dataset.html">
+
+
+ <b>7.1.2.</b>
+
+ Data preparation for one-vs-the-rest classifiers
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="7.1.3" data-path="../multiclass/news20_pa.html">
+
+ <a href="../multiclass/news20_pa.html">
+
+
+ <b>7.1.3.</b>
+
+ PA
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="7.1.4" data-path="../multiclass/news20_scw.html">
+
+ <a href="../multiclass/news20_scw.html">
+
+
+ <b>7.1.4.</b>
+
+ CW, AROW, SCW
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="7.1.5" data-path="../multiclass/news20_ensemble.html">
+
+ <a href="../multiclass/news20_ensemble.html">
+
+
+ <b>7.1.5.</b>
+
+ Ensemble learning
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="7.1.6" data-path="../multiclass/news20_one-vs-the-rest.html">
+
+ <a href="../multiclass/news20_one-vs-the-rest.html">
+
+
+ <b>7.1.6.</b>
+
+ one-vs-the-rest classifier
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+ <li class="chapter " data-level="7.2" data-path="../multiclass/iris.html">
+
+ <a href="../multiclass/iris.html">
+
+
+ <b>7.2.</b>
+
+ Iris Tutorial
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="7.2.1" data-path="../multiclass/iris_dataset.html">
+
+ <a href="../multiclass/iris_dataset.html">
+
+
+ <b>7.2.1.</b>
+
+ Data preparation
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="7.2.2" data-path="../multiclass/iris_scw.html">
+
+ <a href="../multiclass/iris_scw.html">
+
+
+ <b>7.2.2.</b>
+
+ SCW
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="7.2.3" data-path="../multiclass/iris_randomforest.html">
+
+ <a href="../multiclass/iris_randomforest.html">
+
+
+ <b>7.2.3.</b>
+
+ Random Forest
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+
+
+
+ <li class="header">Part VIII - Regression</li>
+
+
+
+ <li class="chapter " data-level="8.1" data-path="../regression/general.html">
+
+ <a href="../regression/general.html">
+
+
+ <b>8.1.</b>
+
+ Regression
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="8.2" data-path="../regression/e2006.html">
+
+ <a href="../regression/e2006.html">
+
+
+ <b>8.2.</b>
+
+ E2006-tfidf Regression Tutorial
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="8.2.1" data-path="../regression/e2006_dataset.html">
+
+ <a href="../regression/e2006_dataset.html">
+
+
+ <b>8.2.1.</b>
+
+ Data preparation
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="8.2.2" data-path="../regression/e2006_arow.html">
+
+ <a href="../regression/e2006_arow.html">
+
+
+ <b>8.2.2.</b>
+
+ Passive Aggressive, AROW
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+ <li class="chapter " data-level="8.3" data-path="../regression/kddcup12tr2.html">
+
+ <a href="../regression/kddcup12tr2.html">
+
+
+ <b>8.3.</b>
+
+ KDDCup 2012 Track 2 CTR Prediction Tutorial
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="8.3.1" data-path="../regression/kddcup12tr2_dataset.html">
+
+ <a href="../regression/kddcup12tr2_dataset.html">
+
+
+ <b>8.3.1.</b>
+
+ Data preparation
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="8.3.2" data-path="../regression/kddcup12tr2_lr.html">
+
+ <a href="../regression/kddcup12tr2_lr.html">
+
+
+ <b>8.3.2.</b>
+
+ Logistic Regression, Passive Aggressive
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="8.3.3" data-path="../regression/kddcup12tr2_lr_amplify.html">
+
+ <a href="../regression/kddcup12tr2_lr_amplify.html">
+
+
+ <b>8.3.3.</b>
+
+ Logistic Regression with amplifier
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="8.3.4" data-path="../regression/kddcup12tr2_adagrad.html">
+
+ <a href="../regression/kddcup12tr2_adagrad.html">
+
+
+ <b>8.3.4.</b>
+
+ AdaGrad, AdaDelta
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+
+
+
+ <li class="header">Part IX - Recommendation</li>
+
+
+
+ <li class="chapter " data-level="9.1" data-path="../recommend/cf.html">
+
+ <a href="../recommend/cf.html">
+
+
+ <b>9.1.</b>
+
+ Collaborative Filtering
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="9.1.1" data-path="../recommend/item_based_cf.html">
+
+ <a href="../recommend/item_based_cf.html">
+
+
+ <b>9.1.1.</b>
+
+ Item-based collaborative filtering
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+ <li class="chapter " data-level="9.2" data-path="../recommend/news20.html">
+
+ <a href="../recommend/news20.html">
+
+
+ <b>9.2.</b>
+
+ News20 Related Article Recommendation Tutorial
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="9.2.1" data-path="../multiclass/news20_dataset.html">
+
+ <a href="../multiclass/news20_dataset.html">
+
+
+ <b>9.2.1.</b>
+
+ Data preparation
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="9.2.2" data-path="../recommend/news20_jaccard.html">
+
+ <a href="../recommend/news20_jaccard.html">
+
+
+ <b>9.2.2.</b>
+
+ LSH/MinHash and Jaccard similarity
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="9.2.3" data-path="../recommend/news20_knn.html">
+
+ <a href="../recommend/news20_knn.html">
+
+
+ <b>9.2.3.</b>
+
+ LSH/MinHash and brute-force search
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="9.2.4" data-path="../recommend/news20_bbit_minhash.html">
+
+ <a href="../recommend/news20_bbit_minhash.html">
+
+
+ <b>9.2.4.</b>
+
+ kNN search using b-Bits MinHash
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+ <li class="chapter " data-level="9.3" data-path="../recommend/movielens.html">
+
+ <a href="../recommend/movielens.html">
+
+
+ <b>9.3.</b>
+
+ MovieLens Movie Recommendation Tutorial
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="9.3.1" data-path="../recommend/movielens_dataset.html">
+
+ <a href="../recommend/movielens_dataset.html">
+
+
+ <b>9.3.1.</b>
+
+ Data preparation
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="9.3.2" data-path="../recommend/movielens_cf.html">
+
+ <a href="../recommend/movielens_cf.html">
+
+
+ <b>9.3.2.</b>
+
+ Item-based collaborative filtering
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="9.3.3" data-path="../recommend/movielens_mf.html">
+
+ <a href="../recommend/movielens_mf.html">
+
+
+ <b>9.3.3.</b>
+
+ Matrix Factorization
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="9.3.4" data-path="../recommend/movielens_fm.html">
+
+ <a href="../recommend/movielens_fm.html">
+
+
+ <b>9.3.4.</b>
+
+ Factorization Machine
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="9.3.5" data-path="../recommend/movielens_slim.html">
+
+ <a href="../recommend/movielens_slim.html">
+
+
+ <b>9.3.5.</b>
+
+ SLIM for fast top-k recommendation
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="9.3.6" data-path="../recommend/movielens_cv.html">
+
+ <a href="../recommend/movielens_cv.html">
+
+
+ <b>9.3.6.</b>
+
+ 10-fold cross validation (Matrix Factorization)
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+
+
+
+ <li class="header">Part X - Anomaly Detection</li>
+
+
+
+ <li class="chapter " data-level="10.1" data-path="../anomaly/lof.html">
+
+ <a href="../anomaly/lof.html">
+
+
+ <b>10.1.</b>
+
+ Outlier Detection using Local Outlier Factor (LOF)
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="10.2" data-path="../anomaly/sst.html">
+
+ <a href="../anomaly/sst.html">
+
+
+ <b>10.2.</b>
+
+ Change-Point Detection using Singular Spectrum Transformation (SST)
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="10.3" data-path="../anomaly/changefinder.html">
+
+ <a href="../anomaly/changefinder.html">
+
+
+ <b>10.3.</b>
+
+ ChangeFinder: Detecting Outlier and Change-Point Simultaneously
+
+ </a>
+
+
+
+ </li>
+
+
+
+
+ <li class="header">Part XI - Clustering</li>
+
+
+
+ <li class="chapter " data-level="11.1" data-path="../clustering/lda.html">
+
+ <a href="../clustering/lda.html">
+
+
+ <b>11.1.</b>
+
+ Latent Dirichlet Allocation
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="11.2" data-path="../clustering/plsa.html">
+
+ <a href="../clustering/plsa.html">
+
+
+ <b>11.2.</b>
+
+ Probabilistic Latent Semantic Analysis
+
+ </a>
+
+
+
+ </li>
+
+
+
+
+ <li class="header">Part XII - GeoSpatial Functions</li>
+
+
+
+ <li class="chapter " data-level="12.1" data-path="../geospatial/latlon.html">
+
+ <a href="../geospatial/latlon.html">
+
+
+ <b>12.1.</b>
+
+ Lat/Lon functions
+
+ </a>
+
+
+
+ </li>
+
+
+
+
+ <li class="header">Part XIII - Hivemall on Spark</li>
+
+
+
+ <li class="chapter " data-level="13.1" data-path="../spark/getting_started/">
+
+ <a href="../spark/getting_started/">
+
+
+ <b>13.1.</b>
+
+ Getting Started
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="13.1.1" data-path="../spark/getting_started/installation.html">
+
+ <a href="../spark/getting_started/installation.html">
+
+
+ <b>13.1.1.</b>
+
+ Installation
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+ <li class="chapter " data-level="13.2" data-path="../spark/binaryclass/">
+
+ <a href="../spark/binaryclass/">
+
+
+ <b>13.2.</b>
+
+ Binary Classification
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="13.2.1" data-path="../spark/binaryclass/a9a_df.html">
+
+ <a href="../spark/binaryclass/a9a_df.html">
+
+
+ <b>13.2.1.</b>
+
+ a9a tutorial for DataFrame
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="13.2.2" data-path="../spark/binaryclass/a9a_sql.html">
+
+ <a href="../spark/binaryclass/a9a_sql.html">
+
+
+ <b>13.2.2.</b>
+
+ a9a tutorial for SQL
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+ <li class="chapter " data-level="13.3" data-path="../spark/binaryclass/">
+
+ <a href="../spark/binaryclass/">
+
+
+ <b>13.3.</b>
+
+ Regression
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="13.3.1" data-path="../spark/regression/e2006_df.html">
+
+ <a href="../spark/regression/e2006_df.html">
+
+
+ <b>13.3.1.</b>
+
+ E2006-tfidf regression tutorial for DataFrame
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="13.3.2" data-path="../spark/regression/e2006_sql.html">
+
+ <a href="../spark/regression/e2006_sql.html">
+
+
+ <b>13.3.2.</b>
+
+ E2006-tfidf regression tutorial for SQL
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+ <li class="chapter " data-level="13.4" data-path="../spark/misc/misc.html">
+
+ <a href="../spark/misc/misc.html">
+
+
+ <b>13.4.</b>
+
+ Generic features
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="13.4.1" data-path="../spark/misc/topk_join.html">
+
+ <a href="../spark/misc/topk_join.html">
+
+
+ <b>13.4.1.</b>
+
+ Top-k join processing
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="13.4.2" data-path="../spark/misc/functions.html">
+
+ <a href="../spark/misc/functions.html">
+
+
+ <b>13.4.2.</b>
+
+ Other utility functions
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
+
+
+
+ <li class="header">Part XIV - Hivemall on Docker</li>
+
+
+
+ <li class="chapter " data-level="14.1" data-path="../docker/getting_started.html">
+
+ <a href="../docker/getting_started.html">
+
+
+ <b>14.1.</b>
+
+ Getting Started
+
+ </a>
+
+
+
+ </li>
+
+
+
+
+ <li class="header">Part XIV - External References</li>
+
+
+
+ <li class="chapter " data-level="15.1" >
+
+ <a target="_blank" href="https://github.com/daijyc/hivemall/wiki/PigHome">
+
+
+ <b>15.1.</b>
+
+ Hivemall on Apache Pig
+
+ </a>
+
+
+
+ </li>
+
+
+
+
+ <li class="divider"></li>
+
+ <li>
+ <a href="https://www.gitbook.com" target="blank" class="gitbook-link">
+ Published with GitBook
+ </a>
+ </li>
+</ul>
+
+
+ </nav>
+
+
+ </div>
+
+ <div class="book-body">
+
+ <div class="body-inner">
+
+
+
+<div class="book-header" role="navigation">
+
+
+ <!-- Title -->
+ <h1>
+ <i class="fa fa-circle-o-notch fa-spin"></i>
+ <a href=".." >Field-Aware Factorization Machines</a>
+ </h1>
+</div>
+
+
+
+
+ <div class="page-wrapper" tabindex="-1" role="main">
+ <div class="page-inner">
+
+<div id="book-search-results">
+ <div class="search-noresults">
+
+ <section class="normal markdown-section">
+
+ <!--
+ Licensed to the Apache Software Foundation (ASF) under one
+ or more contributor license agreements. See the NOTICE file
+ distributed with this work for additional information
+ regarding copyright ownership. The ASF licenses this file
+ to you under the Apache License, Version 2.0 (the
+ "License"); you may not use this file except in compliance
+ with the License. You may obtain a copy of the License at
+
+ http://www.apache.org/licenses/LICENSE-2.0
+
+ Unless required by applicable law or agreed to in writing,
+ software distributed under the License is distributed on an
+ "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ KIND, either express or implied. See the License for the
+ specific language governing permissions and limitations
+ under the License.
+-->
+<p><a href="https://dl.acm.org/citation.cfm?id=2959134" target="_blank">Field-aware factorization machines</a> (FFM) is a factorization model which has been used by the <a href="https://www.kaggle.com/c/criteo-display-ad-challenge/discussion/10555" target="_blank">#1 solution</a> of the Criteo competition.</p>
+<p>This page guides you to try the factorization technique with Hivemall's <code>train_ffm</code> and <code>ffm_predict</code> UDFs.</p>
+<!-- toc --><div id="toc" class="toc">
+
+<ul>
+<li><a href="#preprocess-data-and-convert-into-libffm-format">Preprocess data and convert into LIBFFM format</a></li>
+<li><a href="#insert-preprocessed-data-into-tables">Insert preprocessed data into tables</a></li>
+<li><a href="#training">Training</a></li>
+<li><a href="#prediction-and-evaluation">Prediction and evaluation</a></li>
+</ul>
+
+</div><!-- tocstop -->
+<div class="panel panel-primary"><div class="panel-heading"><h3 class="panel-title" id="note"><i class="fa fa-edit"></i> Note</h3></div><div class="panel-body"><p>This feature is supported from Hivemall v0.5.1 or later.</p></div></div>
+<h1 id="preprocess-data-and-convert-into-libffm-format">Preprocess data and convert into LIBFFM format</h1>
+<p>Since FFM is a relatively complex factor-based model which requires us to spend a significant amount of time for feature engineering, preprocessing data outside of Hive can be a reasonable option.</p>
+<p>You can again use the repository <strong><a href="https://github.com/takuti/criteo-ffm" target="_blank">takuti/criteo-ffm</a></strong> cloned in the <a href="criteo_dataset.html">data preparation guide</a> to preprocess the data as the winning solution did:</p>
+<pre><code class="lang-sh"><span class="hljs-built_in">cd</span> criteo-ffm
+<span class="hljs-comment"># create the CSV files `tr.csv` and `te.csv`</span>
+make preprocess
+</code></pre>
+<p>Task <code>make preprocess</code> executes some Python scripts which are originally taken from <a href="https://github.com/guestwalk/kaggle-2014-criteo" target="_blank">guestwalk/kaggle-2014-criteo</a> and <a href="https://github.com/chenhuang-learn/ffm" target="_blank">chenhuang-learn/ffm</a>.</p>
+<p>Eventually, you will obtain the following files in so-called LIBFFM format:</p>
+<ul>
+<li><code>tr.ffm</code> - Labeled training samples<ul>
+<li><code>tr.sp</code> - 80% of the labeled training samples randomly picked from <code>tr.ffm</code></li>
+<li><code>va.sp</code> - Remaining 20% of samples for evaluation</li>
+</ul>
+</li>
+<li><code>te.ffm</code> - Unlabeled test samples</li>
+</ul>
+<pre><code><label> <field1>:<feature1>:<value1> <field2>:<feature2>:<value2> ...
+.
+.
+.
+</code></pre><p>See <a href="https://github.com/guestwalk/libffm" target="_blank">LIBFFM official README</a> for detail.</p>
+<p>In order to evaluate the accuracy of prediction at the end of this tutorial, later sections use <code>tr.sp</code> and <code>va.sp</code>.</p>
+<h1 id="insert-preprocessed-data-into-tables">Insert preprocessed data into tables</h1>
+<p>Create new tables used by the FFM UDFs:</p>
+<pre><code class="lang-sh">hadoop fs -put tr.sp /criteo/ffm/train
+hadoop fs -put va.sp /criteo/ffm/<span class="hljs-built_in">test</span>
+</code></pre>
+<pre><code class="lang-sql"><span class="hljs-keyword">use</span> criteo;
+</code></pre>
+<pre><code class="lang-sql"><span class="hljs-keyword">DROP</span> <span class="hljs-keyword">TABLE</span> <span class="hljs-keyword">IF</span> <span class="hljs-keyword">EXISTS</span> train_ffm;
+<span class="hljs-keyword">CREATE</span> <span class="hljs-keyword">EXTERNAL</span> <span class="hljs-keyword">TABLE</span> train_ffm (
+ label <span class="hljs-built_in">int</span>,
+ <span class="hljs-comment">-- quantitative features</span>
+ i1 <span class="hljs-keyword">string</span>,i2 <span class="hljs-keyword">string</span>,i3 <span class="hljs-keyword">string</span>,i4 <span class="hljs-keyword">string</span>,i5 <span class="hljs-keyword">string</span>,i6 <span class="hljs-keyword">string</span>,i7 <span class="hljs-keyword">string</span>,i8 <span class="hljs-keyword">string</span>,i9 <span class="hljs-keyword">string</span>,i10 <span class="hljs-keyword">string</span>,i11 <span class="hljs-keyword">string</span>,i12 <span class="hljs-keyword">string</span>,i13 <span class="hljs-keyword">string</span>,
+ <span class="hljs-comment">-- categorical features</span>
+ c1 <span class="hljs-keyword">string</span>,c2 <span class="hljs-keyword">string</span>,c3 <span class="hljs-keyword">string</span>,c4 <span class="hljs-keyword">string</span>,c5 <span class="hljs-keyword">string</span>,c6 <span class="hljs-keyword">string</span>,c7 <span class="hljs-keyword">string</span>,c8 <span class="hljs-keyword">string</span>,c9 <span class="hljs-keyword">string</span>,c10 <span class="hljs-keyword">string</span>,c11 <span class="hljs-keyword">string</span>,c12 <span class="hljs-keyword">string</span>,c13 <span class="hljs-keyword">string</span>,c14 <span class="hljs-keyword">string</span>,c15 <span class="hljs-keyword">string</span>,c16 <span class="hljs-keyword">string</span>,c17 <span class="hljs-keyword">string</span>,c18 <span class="hljs-keyword">string</span>,c19 <span class="hljs-keyword">string</span>,c20 <span class="hljs-keyword">string</span>,c21 <span class="hljs-keyword">string</span>,c22 <span class="hljs-keyword">string</span>,c23 <span clas
s="hljs-keyword">string</span>,c24 <span class="hljs-keyword">string</span>,c25 <span class="hljs-keyword">string</span>,c26 <span class="hljs-keyword">string</span>
+) <span class="hljs-keyword">ROW</span> <span class="hljs-keyword">FORMAT</span>
+<span class="hljs-keyword">DELIMITED</span> <span class="hljs-keyword">FIELDS</span> <span class="hljs-keyword">TERMINATED</span> <span class="hljs-keyword">BY</span> <span class="hljs-string">' '</span>
+<span class="hljs-keyword">STORED</span> <span class="hljs-keyword">AS</span> TEXTFILE LOCATION <span class="hljs-string">'/criteo/ffm/train'</span>;
+</code></pre>
+<pre><code class="lang-sql"><span class="hljs-keyword">DROP</span> <span class="hljs-keyword">TABLE</span> <span class="hljs-keyword">IF</span> <span class="hljs-keyword">EXISTS</span> test_ffm;
+<span class="hljs-keyword">CREATE</span> <span class="hljs-keyword">EXTERNAL</span> <span class="hljs-keyword">TABLE</span> test_ffm (
+ label <span class="hljs-built_in">int</span>,
+ <span class="hljs-comment">-- quantitative features</span>
+ i1 <span class="hljs-keyword">string</span>,i2 <span class="hljs-keyword">string</span>,i3 <span class="hljs-keyword">string</span>,i4 <span class="hljs-keyword">string</span>,i5 <span class="hljs-keyword">string</span>,i6 <span class="hljs-keyword">string</span>,i7 <span class="hljs-keyword">string</span>,i8 <span class="hljs-keyword">string</span>,i9 <span class="hljs-keyword">string</span>,i10 <span class="hljs-keyword">string</span>,i11 <span class="hljs-keyword">string</span>,i12 <span class="hljs-keyword">string</span>,i13 <span class="hljs-keyword">string</span>,
+ <span class="hljs-comment">-- categorical features</span>
+ c1 <span class="hljs-keyword">string</span>,c2 <span class="hljs-keyword">string</span>,c3 <span class="hljs-keyword">string</span>,c4 <span class="hljs-keyword">string</span>,c5 <span class="hljs-keyword">string</span>,c6 <span class="hljs-keyword">string</span>,c7 <span class="hljs-keyword">string</span>,c8 <span class="hljs-keyword">string</span>,c9 <span class="hljs-keyword">string</span>,c10 <span class="hljs-keyword">string</span>,c11 <span class="hljs-keyword">string</span>,c12 <span class="hljs-keyword">string</span>,c13 <span class="hljs-keyword">string</span>,c14 <span class="hljs-keyword">string</span>,c15 <span class="hljs-keyword">string</span>,c16 <span class="hljs-keyword">string</span>,c17 <span class="hljs-keyword">string</span>,c18 <span class="hljs-keyword">string</span>,c19 <span class="hljs-keyword">string</span>,c20 <span class="hljs-keyword">string</span>,c21 <span class="hljs-keyword">string</span>,c22 <span class="hljs-keyword">string</span>,c23 <span clas
s="hljs-keyword">string</span>,c24 <span class="hljs-keyword">string</span>,c25 <span class="hljs-keyword">string</span>,c26 <span class="hljs-keyword">string</span>
+) <span class="hljs-keyword">ROW</span> <span class="hljs-keyword">FORMAT</span>
+<span class="hljs-keyword">DELIMITED</span> <span class="hljs-keyword">FIELDS</span> <span class="hljs-keyword">TERMINATED</span> <span class="hljs-keyword">BY</span> <span class="hljs-string">' '</span>
+<span class="hljs-keyword">STORED</span> <span class="hljs-keyword">AS</span> TEXTFILE LOCATION <span class="hljs-string">'/criteo/ffm/test'</span>;
+</code></pre>
+<p>Vectorize the LIBFFM-formatted features with <code>rowid</code>:</p>
+<pre><code class="lang-sql"><span class="hljs-keyword">DROP</span> <span class="hljs-keyword">TABLE</span> <span class="hljs-keyword">IF</span> <span class="hljs-keyword">EXISTS</span> train_vectorized;
+<span class="hljs-keyword">CREATE</span> <span class="hljs-keyword">TABLE</span> train_vectorized <span class="hljs-keyword">AS</span>
+<span class="hljs-keyword">SELECT</span>
+ row_number() <span class="hljs-keyword">OVER</span> () <span class="hljs-keyword">AS</span> <span class="hljs-keyword">rowid</span>,
+ <span class="hljs-built_in">array</span>(
+ i1, i2, i3, i4, i5, i6, i7, i8, i9, i10, i11, i12, i13,
+ c1, c2, c3, c4, c5, c6, c7, c8, c9, c10, c11, c12, c13, c14, c15, c16, c17, c18, c19, c20, c21, c22, c23, c24, c25, c26
+ ) <span class="hljs-keyword">AS</span> features,
+ label
+<span class="hljs-keyword">FROM</span>
+ train_ffm
+;
+</code></pre>
+<pre><code class="lang-sql"><span class="hljs-keyword">DROP</span> <span class="hljs-keyword">TABLE</span> <span class="hljs-keyword">IF</span> <span class="hljs-keyword">EXISTS</span> test_vectorized;
+<span class="hljs-keyword">CREATE</span> <span class="hljs-keyword">TABLE</span> test_vectorized <span class="hljs-keyword">AS</span>
+<span class="hljs-keyword">SELECT</span>
+ row_number() <span class="hljs-keyword">OVER</span> () <span class="hljs-keyword">AS</span> <span class="hljs-keyword">rowid</span>,
+ <span class="hljs-built_in">array</span>(
+ i1, i2, i3, i4, i5, i6, i7, i8, i9, i10, i11, i12, i13,
+ c1, c2, c3, c4, c5, c6, c7, c8, c9, c10, c11, c12, c13, c14, c15, c16, c17, c18, c19, c20, c21, c22, c23, c24, c25, c26
+ ) <span class="hljs-keyword">AS</span> features,
+ label
+<span class="hljs-keyword">FROM</span>
+ test_ffm
+;
+</code></pre>
+<h1 id="training">Training</h1>
+<pre><code class="lang-sql"><span class="hljs-keyword">DROP</span> <span class="hljs-keyword">TABLE</span> <span class="hljs-keyword">IF</span> <span class="hljs-keyword">EXISTS</span> criteo.ffm_model;
+<span class="hljs-keyword">CREATE</span> <span class="hljs-keyword">TABLE</span> criteo.ffm_model (
+ model_id <span class="hljs-built_in">int</span>,
+ i <span class="hljs-built_in">int</span>,
+ Wi <span class="hljs-built_in">float</span>,
+ Vi <span class="hljs-built_in">array</span><<span class="hljs-built_in">float</span>>
+);
+</code></pre>
+<pre><code class="lang-sql"><span class="hljs-keyword">INSERT</span> OVERWRITE <span class="hljs-keyword">TABLE</span> criteo.ffm_model
+<span class="hljs-keyword">SELECT</span>
+ train_ffm(
+ features,
+ label,
+ <span class="hljs-string">'-init_v random -max_init_value 0.5 -classification -iterations 15 -factors 4 -eta 0.2 -optimizer adagrad -lambda 0.00002'</span>
+ )
+<span class="hljs-keyword">FROM</span> (
+ <span class="hljs-keyword">SELECT</span>
+ features, label
+ <span class="hljs-keyword">FROM</span>
+ criteo.train_vectorized
+ CLUSTER <span class="hljs-keyword">BY</span> <span class="hljs-keyword">rand</span>(<span class="hljs-number">1</span>)
+) t
+;
+</code></pre>
+<p>The third argument of <code>train_ffm</code> accepts a variety of options:</p>
+<pre><code>hive> SELECT train_ffm(array(), 0, '-help');
+usage: train_ffm(array<string> x, double y [, const string options]) -
+ Returns a prediction model [-alpha <arg>] [-auto_stop] [-beta
+ <arg>] [-c] [-cv_rate <arg>] [-disable_cv] [-enable_norm]
+ [-enable_wi] [-eps <arg>] [-eta <arg>] [-eta0 <arg>] [-f <arg>]
+ [-feature_hashing <arg>] [-help] [-init_v <arg>] [-int_feature]
+ [-iters <arg>] [-l1 <arg>] [-l2 <arg>] [-lambda0 <arg>] [-lambdaV
+ <arg>] [-lambdaW0 <arg>] [-lambdaWi <arg>] [-max <arg>] [-maxval
+ <arg>] [-min <arg>] [-min_init_stddev <arg>] [-no_norm]
+ [-num_fields <arg>] [-opt <arg>] [-p <arg>] [-power_t <arg>] [-seed
+ <arg>] [-sigma <arg>] [-t <arg>] [-va_ratio <arg>] [-va_threshold
+ <arg>] [-w0]
+ -alpha,--alphaFTRL <arg> Alpha value (learning rate)
+ of
+ Follow-The-Regularized-Reade
+ r [default: 0.2]
+ -auto_stop,--early_stopping Stop at the iteration that
+ achieves the best validation
+ on partial samples [default:
+ OFF]
+ -beta,--betaFTRL <arg> Beta value (a learning
+ smoothing parameter) of
+ Follow-The-Regularized-Reade
+ r [default: 1.0]
+ -c,--classification Act as classification
+ -cv_rate,--convergence_rate <arg> Threshold to determine
+ convergence [default: 0.005]
+ -disable_cv,--disable_cvtest Whether to disable
+ convergence check [default:
+ OFF]
+ -enable_norm,--l2norm Enable instance-wise L2
+ normalization
+ -enable_wi,--linear_term Include linear term
+ [default: OFF]
+ -eps <arg> A constant used in the
+ denominator of AdaGrad
+ [default: 1.0]
+ -eta <arg> The initial learning rate
+ -eta0 <arg> The initial learning rate
+ [default 0.1]
+ -f,--factors <arg> The number of the latent
+ variables [default: 5]
+ -feature_hashing <arg> The number of bits for
+ feature hashing in range
+ [18,31] [default: -1]. No
+ feature hashing for -1.
+ -help Show function help
+ -init_v <arg> Initialization strategy of
+ matrix V [random,
+ gaussian](default: 'random'
+ for regression / 'gaussian'
+ for classification)
+ -int_feature,--feature_as_integer Parse a feature as integer
+ [default: OFF]
+ -iters,--iterations <arg> The number of iterations
+ [default: 10]
+ -l1,--lambda1 <arg> L1 regularization value of
+ Follow-The-Regularized-Reade
+ r that controls model
+ Sparseness [default: 0.001]
+ -l2,--lambda2 <arg> L2 regularization value of
+ Follow-The-Regularized-Reade
+ r [default: 0.0001]
+ -lambda0,--lambda <arg> The initial lambda value for
+ regularization [default:
+ 0.0001]
+ -lambdaV,--lambda_v <arg> The initial lambda value for
+ V regularization [default:
+ 0.0001]
+ -lambdaW0,--lambda_w0 <arg> The initial lambda value for
+ W0 regularization [default:
+ 0.0001]
+ -lambdaWi,--lambda_wi <arg> The initial lambda value for
+ Wi regularization [default:
+ 0.0001]
+ -max,--max_target <arg> The maximum value of target
+ variable
+ -maxval,--max_init_value <arg> The maximum initial value in
+ the matrix V [default: 0.5]
+ -min,--min_target <arg> The minimum value of target
+ variable
+ -min_init_stddev <arg> The minimum standard
+ deviation of initial matrix
+ V [default: 0.1]
+ -no_norm,--disable_norm Disable instance-wise L2
+ normalization
+ -num_fields <arg> The number of fields
+ [default: 256]
+ -opt,--optimizer <arg> Gradient Descent optimizer
+ [default: ftrl, adagrad,
+ sgd]
+ -p,--num_features <arg> The size of feature
+ dimensions [default: -1]
+ -power_t <arg> The exponent for inverse
+ scaling learning rate
+ [default 0.1]
+ -seed <arg> Seed value [default: -1
+ (random)]
+ -sigma <arg> The standard deviation for
+ initializing V [default:
+ 0.1]
+ -t,--total_steps <arg> The total number of training
+ examples
+ -va_ratio,--validation_ratio <arg> Ratio of training data used
+ for validation [default:
+ 0.05f]
+ -va_threshold,--validation_threshold <arg> Threshold to start
+ validation. At least N
+ training examples are used
+ before validation [default:
+ 1000]
+ -w0,--global_bias Whether to include global
+ bias term w0 [default: OFF]
+</code></pre><p>Note that debug log describes the change of cumulative loss over iterations as follows:</p>
+<pre><code>Iteration #2 | average loss=0.5407147187026483, current cumulative loss=858.114258581103, previous cumulative loss=1682.1101438997914, change rate=0.48985846040280256, #trainingExamples=1587
+Iteration #3 | average loss=0.5105058761578417, current cumulative loss=810.1728254624949, previous cumulative loss=858.114258581103, change rate=0.05586835626980435, #trainingExamples=1587
+Iteration #4 | average loss=0.49045915570992393, current cumulative loss=778.3586801116493, previous cumulative loss=810.1728254624949, change rate=0.039268344174200345, #trainingExamples=1587
+Iteration #5 | average loss=0.4752751205770395, current cumulative loss=754.2616163557617, previous cumulative loss=778.3586801116493, change rate=0.030958816766109738, #trainingExamples=1587
+Iteration #6 | average loss=0.46308523885164105, current cumulative loss=734.9162740575543, previous cumulative loss=754.2616163557617, change rate=0.02564805351182389, #trainingExamples=1587
+Iteration #7 | average loss=0.4529012395753083, current cumulative loss=718.7542672060143, previous cumulative loss=734.9162740575543, change rate=0.02199163009727323, #trainingExamples=1587
+Iteration #8 | average loss=0.44411358945347845, current cumulative loss=704.8082664626703, previous cumulative loss=718.7542672060143, change rate=0.019403016273636577, #trainingExamples=1587
+Iteration #9 | average loss=0.4363264696377158, current cumulative loss=692.450107315055, previous cumulative loss=704.8082664626703, change rate=0.017534072365012268, #trainingExamples=1587
+Iteration #10 | average loss=0.4292753045556725, current cumulative loss=681.2599083298522, previous cumulative loss=692.450107315055, change rate=0.01616029641267912, #trainingExamples=1587
+Iteration #11 | average loss=0.42277515600757143, current cumulative loss=670.9441725840159, previous cumulative loss=681.2599083298522, change rate=0.015142144165104322, #trainingExamples=1587
+Iteration #12 | average loss=0.416689617663307, current cumulative loss=661.2864232316682, previous cumulative loss=670.9441725840159, change rate=0.014394266687126348, #trainingExamples=1587
+Iteration #13 | average loss=0.4109140194740033, current cumulative loss=652.1205489052433, previous cumulative loss=661.2864232316682, change rate=0.013860672175351585, #trainingExamples=1587
+Iteration #14 | average loss=0.4053667348634373, current cumulative loss=643.317008228275, previous cumulative loss=652.1205489052433, change rate=0.013499866998129951, #trainingExamples=1587
+Iteration #15 | average loss=0.3999840450561501, current cumulative loss=634.7746795041102, previous cumulative loss=643.317008228275, change rate=0.013278568131893133, #trainingExamples=1587
+Performed 15 iterations of 1,587 training examples on memory (thus 23,805 training updates in total)
+</code></pre><h1 id="prediction-and-evaluation">Prediction and evaluation</h1>
+<pre><code class="lang-sql"><span class="hljs-keyword">DROP</span> <span class="hljs-keyword">TABLE</span> <span class="hljs-keyword">IF</span> <span class="hljs-keyword">EXISTS</span> criteo.test_exploded;
+<span class="hljs-keyword">CREATE</span> <span class="hljs-keyword">TABLE</span> criteo.test_exploded <span class="hljs-keyword">AS</span>
+<span class="hljs-keyword">SELECT</span>
+ t1.<span class="hljs-keyword">rowid</span>,
+ t2.i,
+ t2.j,
+ t2.Xi,
+ t2.Xj
+<span class="hljs-keyword">from</span>
+ criteo.test_vectorized t1
+ LATERAL <span class="hljs-keyword">VIEW</span> feature_pairs(t1.features, <span class="hljs-string">'-ffm'</span>) t2 <span class="hljs-keyword">AS</span> i, j, Xi, Xj
+;
+</code></pre>
+<pre><code class="lang-sql">WITH predicted AS (
+ <span class="hljs-keyword">SELECT</span>
+ <span class="hljs-keyword">rowid</span>,
+ <span class="hljs-keyword">avg</span>(score) <span class="hljs-keyword">AS</span> predicted
+ <span class="hljs-keyword">FROM</span> (
+ <span class="hljs-keyword">SELECT</span>
+ t1.<span class="hljs-keyword">rowid</span>,
+ p1.model_id,
+ sigmoid(ffm_predict(p1.Wi, p1.Vi, p2.Vi, t1.Xi, t1.Xj)) <span class="hljs-keyword">AS</span> score
+ <span class="hljs-keyword">FROM</span>
+ criteo.test_exploded t1
+ <span class="hljs-keyword">JOIN</span> criteo.ffm_model p1 <span class="hljs-keyword">ON</span> (p1.i = t1.i) <span class="hljs-comment">-- at least p1.i = 0 and t1.i = 0 exists</span>
+ <span class="hljs-keyword">LEFT</span> <span class="hljs-keyword">OUTER</span> <span class="hljs-keyword">JOIN</span> criteo.ffm_model p2 <span class="hljs-keyword">ON</span> (p2.model_id = p1.model_id <span class="hljs-keyword">and</span> p2.i = t1.j)
+ <span class="hljs-keyword">WHERE</span>
+ p1.Wi <span class="hljs-keyword">is</span> <span class="hljs-keyword">not</span> <span class="hljs-literal">null</span> <span class="hljs-keyword">OR</span> p2.Vi <span class="hljs-keyword">is</span> <span class="hljs-keyword">not</span> <span class="hljs-literal">null</span>
+ <span class="hljs-keyword">GROUP</span> <span class="hljs-keyword">BY</span>
+ t1.<span class="hljs-keyword">rowid</span>, p1.model_id
+ ) t
+ <span class="hljs-keyword">GROUP</span> <span class="hljs-keyword">BY</span>
+ <span class="hljs-keyword">rowid</span>
+)
+<span class="hljs-keyword">SELECT</span>
+ logloss(t1.predicted, t2.label)
+<span class="hljs-keyword">FROM</span>
+ predicted t1
+<span class="hljs-keyword">JOIN</span>
+ criteo.test_vectorized t2
+ <span class="hljs-keyword">ON</span> t1.<span class="hljs-keyword">rowid</span> = t2.<span class="hljs-keyword">rowid</span>
+;
+</code></pre>
+<blockquote>
+<p>0.47276208106423234</p>
+</blockquote>
+<p><br></p>
+<div class="panel panel-primary"><div class="panel-heading"><h3 class="panel-title" id="note"><i class="fa fa-edit"></i> Note</h3></div><div class="panel-body"><p>The accuracy varies depending on the random separation of <code>tr.sp</code> and <code>va.sp</code>.</p></div></div>
+<p>Notice that LogLoss around 0.45 is reasonable accuracy compared to the <a href="https://github.com/guestwalk/libffm" target="_blank">competition leaderboard</a> and output from <a href="https://github.com/guestwalk/libffm" target="_blank">LIBFFM</a>.
+<div id="page-footer" class="localized-footer"><hr><!--
+ Licensed to the Apache Software Foundation (ASF) under one
+ or more contributor license agreements. See the NOTICE file
+ distributed with this work for additional information
+ regarding copyright ownership. The ASF licenses this file
+ to you under the Apache License, Version 2.0 (the
+ "License"); you may not use this file except in compliance
+ with the License. You may obtain a copy of the License at
+
+ http://www.apache.org/licenses/LICENSE-2.0
+
+ Unless required by applicable law or agreed to in writing,
+ software distributed under the License is distributed on an
+ "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ KIND, either express or implied. See the License for the
+ specific language governing permissions and limitations
+ under the License.
+-->
+<p><sub><font color="gray">
+Apache Hivemall is an effort undergoing incubation at The Apache Software Foundation (ASF), sponsored by the Apache Incubator.
+</font></sub></p>
+</div></p>
+
+
+ </section>
+
+ </div>
+ <div class="search-results">
+ <div class="has-results">
+
+ <h1 class="search-results-title"><span class='search-results-count'></span> results matching "<span class='search-query'></span>"</h1>
+ <ul class="search-results-list"></ul>
+
+ </div>
+ <div class="no-results">
+
+ <h1 class="search-results-title">No results matching "<span class='search-query'></span>"</h1>
+
+ </div>
+ </div>
+</div>
+
+ </div>
+ </div>
+
+ </div>
+
+
+
+
+ </div>
+
+ <script>
+ var gitbook = gitbook || [];
+ gitbook.push(function() {
+ gitbook.page.hasChanged({"page":{"title":"Field-Aware Factorization Machines","level":"6.8.2","depth":2,"next":{"title":"News20 Multiclass Tutorial","level":"7.1","depth":1,"path":"multiclass/news20.md","ref":"multiclass/news20.md","articles":[{"title":"Data preparation","level":"7.1.1","depth":2,"path":"multiclass/news20_dataset.md","ref":"multiclass/news20_dataset.md","articles":[]},{"title":"Data preparation for one-vs-the-rest classifiers","level":"7.1.2","depth":2,"path":"multiclass/news20_one-vs-the-rest_dataset.md","ref":"multiclass/news20_one-vs-the-rest_dataset.md","articles":[]},{"title":"PA","level":"7.1.3","depth":2,"path":"multiclass/news20_pa.md","ref":"multiclass/news20_pa.md","articles":[]},{"title":"CW, AROW, SCW","level":"7.1.4","depth":2,"path":"multiclass/news20_scw.md","ref":"multiclass/news20_scw.md","articles":[]},{"title":"Ensemble learning","level":"7.1.5","depth":2,"path":"multiclass/news20_ensemble.md","ref":"multiclass/news20_ensemble.md","art
icles":[]},{"title":"one-vs-the-rest classifier","level":"7.1.6","depth":2,"path":"multiclass/news20_one-vs-the-rest.md","ref":"multiclass/news20_one-vs-the-rest.md","articles":[]}]},"previous":{"title":"Data preparation","level":"6.8.1","depth":2,"path":"binaryclass/criteo_dataset.md","ref":"binaryclass/criteo_dataset.md","articles":[]},"dir":"ltr"},"config":{"plugins":["theme-api","edit-link","github","splitter","sitemap","etoc","callouts","toggle-chapters","anchorjs","codeblock-filename","expandable-chapters","multipart","codeblock-filename","katex","emphasize","localized-footer"],"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"pluginsConfig":{"emphasize":{},"callouts":{},"etoc":{"h2lb":3,"header":1,"maxdepth":3,"mindepth":1,"notoc":true},"github":{"url":"https://github.com/apache/incubator-hivemall/"},"splitter":{},"search":{},"downloadpdf":{"base":"https://g
ithub.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/criteo_ffm.md","mtime":"2018-08-29T08:55:00.265Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-08-31T06:54:21.013Z"},"basePath":"..","book":{"language":""}});
+ });
+ </script>
+</div>
+
+
+ <script src="../gitbook/gitbook.js"></script>
+
<TRUNCATED>
[02/20] incubator-hivemall-site git commit: Added criteo example and
step-by-step guide for general classifier/regressor
Posted by my...@apache.org.
http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/6c6a1b42/userguide/tips/addbias.html
----------------------------------------------------------------------
diff --git a/userguide/tips/addbias.html b/userguide/tips/addbias.html
index b5d8b23..254fe44 100644
--- a/userguide/tips/addbias.html
+++ b/userguide/tips/addbias.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>
+
@@ -2304,7 +2370,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
<script>
var gitbook = gitbook || [];
gitbook.push(function() {
- gitbook.page.hasChanged({"page":{"title":"Explicit add_bias() for better prediction","level":"1.4.1","depth":2,"next":{"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":[]},"previous":{"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/ensemb
le_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":[]}]},"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"},"to
ggle-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":"tips/addbias.md","mtime":"2017-12-11T08:48:01.151Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-06-06T09:01:20.330Z"},"basePath":"..","book":{"language":""}});
+ gitbook.page.hasChanged({"page":{"title":"Explicit add_bias() for better prediction","level":"1.4.1","depth":2,"next":{"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":[]},"previous":{"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/ensemb
le_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":[]}]},"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"},"to
ggle-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":"tips/addbias.md","mtime":"2018-08-29T08:55:00.296Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-08-31T06:54:21.013Z"},"basePath":"..","book":{"language":""}});
});
</script>
</div>
@@ -2334,7 +2400,7 @@ 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/tips/emr.html
----------------------------------------------------------------------
diff --git a/userguide/tips/emr.html b/userguide/tips/emr.html
index 1dbd41b..ba42b69 100644
--- a/userguide/tips/emr.html
+++ b/userguide/tips/emr.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>
+
@@ -2446,7 +2512,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
<script>
var gitbook = gitbook || [];
gitbook.push(function() {
- gitbook.page.hasChanged({"page":{"title":"Run Hivemall on Amazon Elastic MapReduce","level":"1.4.6","depth":2,"next":{"title":"General Hive/Hadoop Tips","level":"1.5","depth":1,"path":"tips/general_tips.md","ref":"tips/general_tips.md","articles":[{"title":"Adding rowid for each row","level":"1.5.1","depth":2,"path":"tips/rowid.md","ref":"tips/rowid.md","articles":[]},{"title":"Hadoop tuning for Hivemall","level":"1.5.2","depth":2,"path":"tips/hadoop_tuning.md","ref":"tips/hadoop_tuning.md","articles":[]}]},"previous":{"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":[]},"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":"tips/emr.md","mtime":"2017-12-11T08:48:01.151Z","type":"
markdown"},"gitbook":{"version":"3.2.3","time":"2018-06-06T09:01:20.330Z"},"basePath":"..","book":{"language":""}});
+ gitbook.page.hasChanged({"page":{"title":"Run Hivemall on Amazon Elastic MapReduce","level":"1.4.6","depth":2,"next":{"title":"General Hive/Hadoop Tips","level":"1.5","depth":1,"path":"tips/general_tips.md","ref":"tips/general_tips.md","articles":[{"title":"Adding rowid for each row","level":"1.5.1","depth":2,"path":"tips/rowid.md","ref":"tips/rowid.md","articles":[]},{"title":"Hadoop tuning for Hivemall","level":"1.5.2","depth":2,"path":"tips/hadoop_tuning.md","ref":"tips/hadoop_tuning.md","articles":[]}]},"previous":{"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":[]},"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":"tips/emr.md","mtime":"2018-08-29T08:55:00.296Z","type":"
markdown"},"gitbook":{"version":"3.2.3","time":"2018-08-31T06:54:21.013Z"},"basePath":"..","book":{"language":""}});
});
</script>
</div>
@@ -2476,7 +2542,7 @@ 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/tips/ensemble_learning.html
----------------------------------------------------------------------
diff --git a/userguide/tips/ensemble_learning.html b/userguide/tips/ensemble_learning.html
index cb0b1cc..dca607d 100644
--- a/userguide/tips/ensemble_learning.html
+++ b/userguide/tips/ensemble_learning.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>
+
@@ -2481,7 +2547,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
<script>
var gitbook = gitbook || [];
gitbook.push(function() {
- gitbook.page.hasChanged({"page":{"title":"Ensemble learning for stable prediction","level":"1.4.4","depth":2,"next":{"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":[]},"previous":{"title":"Real-time prediction on RDBMS","level":"1.4.3","depth":2,"path":"tips/rt_prediction.md","ref":"tips/rt_prediction.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":{"ur
l":"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/eboo
k.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":"tips/ensemble_learning.md","mtime":"2017-12-11T08:48:01.151Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-06-06T09:01:20.330Z"},"basePath":"..","book":{"language":""}});
+ gitbook.page.hasChanged({"page":{"title":"Ensemble learning for stable prediction","level":"1.4.4","depth":2,"next":{"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":[]},"previous":{"title":"Real-time prediction on RDBMS","level":"1.4.3","depth":2,"path":"tips/rt_prediction.md","ref":"tips/rt_prediction.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":{"ur
l":"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/eboo
k.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":"tips/ensemble_learning.md","mtime":"2018-08-29T08:55:00.296Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-08-31T06:54:21.013Z"},"basePath":"..","book":{"language":""}});
});
</script>
</div>
@@ -2511,7 +2577,7 @@ 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/tips/general_tips.html
----------------------------------------------------------------------
diff --git a/userguide/tips/general_tips.html b/userguide/tips/general_tips.html
index e3a111b..8e86a6f 100644
--- a/userguide/tips/general_tips.html
+++ b/userguide/tips/general_tips.html
@@ -861,9 +861,9 @@
- <li class="chapter " data-level="5.1" data-path="../misc/prediction.html">
+ <li class="chapter " data-level="5.1" data-path="../supervised_learning/prediction.html">
- <a href="../misc/prediction.html">
+ <a href="../supervised_learning/prediction.html">
<b>5.1.</b>
@@ -876,6 +876,21 @@
</li>
+ <li class="chapter " data-level="5.2" data-path="../supervised_learning/tutorial.html">
+
+ <a href="../supervised_learning/tutorial.html">
+
+
+ <b>5.2.</b>
+
+ Step-by-Step Tutorial on Supervised Learning
+
+ </a>
+
+
+
+ </li>
+
@@ -1228,6 +1243,57 @@
</li>
+ <li class="chapter " data-level="6.8" data-path="../binaryclass/criteo.html">
+
+ <a href="../binaryclass/criteo.html">
+
+
+ <b>6.8.</b>
+
+ Criteo Tutorial
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="6.8.1" data-path="../binaryclass/criteo_dataset.html">
+
+ <a href="../binaryclass/criteo_dataset.html">
+
+
+ <b>6.8.1.</b>
+
+ Data preparation
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="6.8.2" data-path="../binaryclass/criteo_ffm.html">
+
+ <a href="../binaryclass/criteo_ffm.html">
+
+
+ <b>6.8.2.</b>
+
+ Field-Aware Factorization Machines
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
@@ -2270,7 +2336,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
<script>
var gitbook = gitbook || [];
gitbook.push(function() {
- gitbook.page.hasChanged({"page":{"title":"General Hive/Hadoop Tips","level":"1.5","depth":1,"next":{"title":"Adding rowid for each row","level":"1.5.1","depth":2,"path":"tips/rowid.md","ref":"tips/rowid.md","articles":[]},"previous":{"title":"Run Hivemall on Amazon Elastic MapReduce","level":"1.4.6","depth":2,"path":"tips/emr.md","ref":"tips/emr.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":{},"sear
ch":{},"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":{"selec
tor":"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":"tips/general_tips.md","mtime":"2017-12-11T08:48:01.151Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-06-06T09:01:20.330Z"},"basePath":"..","book":{"language":""}});
+ gitbook.page.hasChanged({"page":{"title":"General Hive/Hadoop Tips","level":"1.5","depth":1,"next":{"title":"Adding rowid for each row","level":"1.5.1","depth":2,"path":"tips/rowid.md","ref":"tips/rowid.md","articles":[]},"previous":{"title":"Run Hivemall on Amazon Elastic MapReduce","level":"1.4.6","depth":2,"path":"tips/emr.md","ref":"tips/emr.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":{},"sear
ch":{},"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":{"selec
tor":"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":"tips/general_tips.md","mtime":"2018-08-29T08:55:00.296Z","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/tips/hadoop_tuning.html
----------------------------------------------------------------------
diff --git a/userguide/tips/hadoop_tuning.html b/userguide/tips/hadoop_tuning.html
index 7b904dc..f60154e 100644
--- a/userguide/tips/hadoop_tuning.html
+++ b/userguide/tips/hadoop_tuning.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>
+
@@ -2339,7 +2405,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
<script>
var gitbook = gitbook || [];
gitbook.push(function() {
- gitbook.page.hasChanged({"page":{"title":"Hadoop tuning for Hivemall","level":"1.5.2","depth":2,"next":{"title":"Troubleshooting","level":"1.6","depth":1,"path":"troubleshooting/README.md","ref":"troubleshooting/README.md","articles":[{"title":"OutOfMemoryError in training","level":"1.6.1","depth":2,"path":"troubleshooting/oom.md","ref":"troubleshooting/oom.md","articles":[]},{"title":"SemanticException generate map join task error: Cannot serialize object","level":"1.6.2","depth":2,"path":"troubleshooting/mapjoin_task_error.md","ref":"troubleshooting/mapjoin_task_error.md","articles":[]},{"title":"Asterisk argument for UDTF does not work","level":"1.6.3","depth":2,"path":"troubleshooting/asterisk.md","ref":"troubleshooting/asterisk.md","articles":[]},{"title":"The number of mappers is less than input splits in Hadoop 2.x","level":"1.6.4","depth":2,"path":"troubleshooting/num_mappers.md","ref":"troubleshooting/num_mappers.md","articles":[]},{"title":"Map-side join causes
ClassCastException on Tez","level":"1.6.5","depth":2,"path":"troubleshooting/mapjoin_classcastex.md","ref":"troubleshooting/mapjoin_classcastex.md","articles":[]}]},"previous":{"title":"Adding rowid for each row","level":"1.5.1","depth":2,"path":"tips/rowid.md","ref":"tips/rowid.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-chapt
ers":{}},"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":"tips/hadoop_tuning.md","mtime":"2017-12-11T08:48:01.151Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-06-06T09:01:20.330Z"},"basePath":"..","book":{"language":""}});
+ gitbook.page.hasChanged({"page":{"title":"Hadoop tuning for Hivemall","level":"1.5.2","depth":2,"next":{"title":"Troubleshooting","level":"1.6","depth":1,"path":"troubleshooting/README.md","ref":"troubleshooting/README.md","articles":[{"title":"OutOfMemoryError in training","level":"1.6.1","depth":2,"path":"troubleshooting/oom.md","ref":"troubleshooting/oom.md","articles":[]},{"title":"SemanticException generate map join task error: Cannot serialize object","level":"1.6.2","depth":2,"path":"troubleshooting/mapjoin_task_error.md","ref":"troubleshooting/mapjoin_task_error.md","articles":[]},{"title":"Asterisk argument for UDTF does not work","level":"1.6.3","depth":2,"path":"troubleshooting/asterisk.md","ref":"troubleshooting/asterisk.md","articles":[]},{"title":"The number of mappers is less than input splits in Hadoop 2.x","level":"1.6.4","depth":2,"path":"troubleshooting/num_mappers.md","ref":"troubleshooting/num_mappers.md","articles":[]},{"title":"Map-side join causes
ClassCastException on Tez","level":"1.6.5","depth":2,"path":"troubleshooting/mapjoin_classcastex.md","ref":"troubleshooting/mapjoin_classcastex.md","articles":[]}]},"previous":{"title":"Adding rowid for each row","level":"1.5.1","depth":2,"path":"tips/rowid.md","ref":"tips/rowid.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-chapt
ers":{}},"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":"tips/hadoop_tuning.md","mtime":"2018-08-29T08:55:00.296Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-08-31T06:54:21.013Z"},"basePath":"..","book":{"language":""}});
});
</script>
</div>
@@ -2369,7 +2435,7 @@ 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/tips/index.html
----------------------------------------------------------------------
diff --git a/userguide/tips/index.html b/userguide/tips/index.html
index 77e3531..ede6c59 100644
--- a/userguide/tips/index.html
+++ b/userguide/tips/index.html
@@ -861,9 +861,9 @@
- <li class="chapter " data-level="5.1" data-path="../misc/prediction.html">
+ <li class="chapter " data-level="5.1" data-path="../supervised_learning/prediction.html">
- <a href="../misc/prediction.html">
+ <a href="../supervised_learning/prediction.html">
<b>5.1.</b>
@@ -876,6 +876,21 @@
</li>
+ <li class="chapter " data-level="5.2" data-path="../supervised_learning/tutorial.html">
+
+ <a href="../supervised_learning/tutorial.html">
+
+
+ <b>5.2.</b>
+
+ Step-by-Step Tutorial on Supervised Learning
+
+ </a>
+
+
+
+ </li>
+
@@ -1228,6 +1243,57 @@
</li>
+ <li class="chapter " data-level="6.8" data-path="../binaryclass/criteo.html">
+
+ <a href="../binaryclass/criteo.html">
+
+
+ <b>6.8.</b>
+
+ Criteo Tutorial
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="6.8.1" data-path="../binaryclass/criteo_dataset.html">
+
+ <a href="../binaryclass/criteo_dataset.html">
+
+
+ <b>6.8.1.</b>
+
+ Data preparation
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="6.8.2" data-path="../binaryclass/criteo_ffm.html">
+
+ <a href="../binaryclass/criteo_ffm.html">
+
+
+ <b>6.8.2.</b>
+
+ Field-Aware Factorization Machines
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
@@ -2270,7 +2336,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
<script>
var gitbook = gitbook || [];
gitbook.push(function() {
- gitbook.page.hasChanged({"page":{"title":"Tips for Effective Hivemall","level":"1.4","depth":1,"next":{"title":"Explicit add_bias() for better prediction","level":"1.4.1","depth":2,"path":"tips/addbias.md","ref":"tips/addbias.md","articles":[]},"previous":{"title":"List of Functions","level":"1.3","depth":1,"path":"misc/funcs.md","ref":"misc/funcs.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":{},"se
arch":{},"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":{"sel
ector":"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":"tips/README.md","mtime":"2017-12-11T08:48:01.151Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-06-06T09:01:20.330Z"},"basePath":"..","book":{"language":""}});
+ gitbook.page.hasChanged({"page":{"title":"Tips for Effective Hivemall","level":"1.4","depth":1,"next":{"title":"Explicit add_bias() for better prediction","level":"1.4.1","depth":2,"path":"tips/addbias.md","ref":"tips/addbias.md","articles":[]},"previous":{"title":"List of Functions","level":"1.3","depth":1,"path":"misc/funcs.md","ref":"misc/funcs.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":{},"se
arch":{},"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":{"sel
ector":"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":"tips/README.md","mtime":"2018-08-29T08:55:00.295Z","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/tips/mixserver.html
----------------------------------------------------------------------
diff --git a/userguide/tips/mixserver.html b/userguide/tips/mixserver.html
index 99c23a5..dcb348c 100644
--- a/userguide/tips/mixserver.html
+++ b/userguide/tips/mixserver.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>
+
@@ -2325,7 +2391,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
<script>
var gitbook = gitbook || [];
gitbook.push(function() {
- gitbook.page.hasChanged({"page":{"title":"Mixing models for a better prediction convergence (MIX server)","level":"1.4.5","depth":2,"next":{"title":"Run Hivemall on Amazon Elastic MapReduce","level":"1.4.6","depth":2,"path":"tips/emr.md","ref":"tips/emr.md","articles":[]},"previous":{"title":"Ensemble learning for stable prediction","level":"1.4.4","depth":2,"path":"tips/ensemble_learning.md","ref":"tips/ensemble_learning.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},"githu
b":{"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":"styl
es/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":"tips/mixserver.md","mtime":"2017-12-11T08:48:01.152Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-06-06T09:01:20.330Z"},"basePath":"..","book":{"language":""}});
+ gitbook.page.hasChanged({"page":{"title":"Mixing models for a better prediction convergence (MIX server)","level":"1.4.5","depth":2,"next":{"title":"Run Hivemall on Amazon Elastic MapReduce","level":"1.4.6","depth":2,"path":"tips/emr.md","ref":"tips/emr.md","articles":[]},"previous":{"title":"Ensemble learning for stable prediction","level":"1.4.4","depth":2,"path":"tips/ensemble_learning.md","ref":"tips/ensemble_learning.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},"githu
b":{"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":"styl
es/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":"tips/mixserver.md","mtime":"2018-08-29T08:55:00.297Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-08-31T06:54:21.013Z"},"basePath":"..","book":{"language":""}});
});
</script>
</div>
@@ -2355,7 +2421,7 @@ 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/tips/rand_amplify.html
----------------------------------------------------------------------
diff --git a/userguide/tips/rand_amplify.html b/userguide/tips/rand_amplify.html
index 6f01841..da99451 100644
--- a/userguide/tips/rand_amplify.html
+++ b/userguide/tips/rand_amplify.html
@@ -861,9 +861,9 @@
- <li class="chapter " data-level="5.1" data-path="../misc/prediction.html">
+ <li class="chapter " data-level="5.1" data-path="../supervised_learning/prediction.html">
- <a href="../misc/prediction.html">
+ <a href="../supervised_learning/prediction.html">
<b>5.1.</b>
@@ -876,6 +876,21 @@
</li>
+ <li class="chapter " data-level="5.2" data-path="../supervised_learning/tutorial.html">
+
+ <a href="../supervised_learning/tutorial.html">
+
+
+ <b>5.2.</b>
+
+ Step-by-Step Tutorial on Supervised Learning
+
+ </a>
+
+
+
+ </li>
+
@@ -1228,6 +1243,57 @@
</li>
+ <li class="chapter " data-level="6.8" data-path="../binaryclass/criteo.html">
+
+ <a href="../binaryclass/criteo.html">
+
+
+ <b>6.8.</b>
+
+ Criteo Tutorial
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="6.8.1" data-path="../binaryclass/criteo_dataset.html">
+
+ <a href="../binaryclass/criteo_dataset.html">
+
+
+ <b>6.8.1.</b>
+
+ Data preparation
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="6.8.2" data-path="../binaryclass/criteo_ffm.html">
+
+ <a href="../binaryclass/criteo_ffm.html">
+
+
+ <b>6.8.2.</b>
+
+ Field-Aware Factorization Machines
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
@@ -2372,7 +2438,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
<script>
var gitbook = gitbook || [];
gitbook.push(function() {
- gitbook.page.hasChanged({"page":{"title":"Use rand_amplify() to better prediction results","level":"1.4.2","depth":2,"next":{"title":"Real-time prediction on RDBMS","level":"1.4.3","depth":2,"path":"tips/rt_prediction.md","ref":"tips/rt_prediction.md","articles":[]},"previous":{"title":"Explicit add_bias() for better prediction","level":"1.4.1","depth":2,"path":"tips/addbias.md","ref":"tips/addbias.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://githu
b.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":"s
tyles/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":"tips/rand_amplify.md","mtime":"2017-12-11T08:48:01.152Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-06-06T09:01:20.330Z"},"basePath":"..","book":{"language":""}});
+ gitbook.page.hasChanged({"page":{"title":"Use rand_amplify() to better prediction results","level":"1.4.2","depth":2,"next":{"title":"Real-time prediction on RDBMS","level":"1.4.3","depth":2,"path":"tips/rt_prediction.md","ref":"tips/rt_prediction.md","articles":[]},"previous":{"title":"Explicit add_bias() for better prediction","level":"1.4.1","depth":2,"path":"tips/addbias.md","ref":"tips/addbias.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://githu
b.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":"s
tyles/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":"tips/rand_amplify.md","mtime":"2018-08-29T08:55:00.297Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-08-31T06:54:21.013Z"},"basePath":"..","book":{"language":""}});
});
</script>
</div>
@@ -2402,7 +2468,7 @@ 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/tips/rowid.html
----------------------------------------------------------------------
diff --git a/userguide/tips/rowid.html b/userguide/tips/rowid.html
index a461539..9469b8b 100644
--- a/userguide/tips/rowid.html
+++ b/userguide/tips/rowid.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>
+
@@ -2311,7 +2377,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
<script>
var gitbook = gitbook || [];
gitbook.push(function() {
- gitbook.page.hasChanged({"page":{"title":"Adding rowid for each row","level":"1.5.1","depth":2,"next":{"title":"Hadoop tuning for Hivemall","level":"1.5.2","depth":2,"path":"tips/hadoop_tuning.md","ref":"tips/hadoop_tuning.md","articles":[]},"previous":{"title":"General Hive/Hadoop Tips","level":"1.5","depth":1,"path":"tips/general_tips.md","ref":"tips/general_tips.md","articles":[{"title":"Adding rowid for each row","level":"1.5.1","depth":2,"path":"tips/rowid.md","ref":"tips/rowid.md","articles":[]},{"title":"Hadoop tuning for Hivemall","level":"1.5.2","depth":2,"path":"tips/hadoop_tuning.md","ref":"tips/hadoop_tuning.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.c
ss","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://gith
ub.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":"tips/rowid.md","mtime":"2017-12-11T08:48:01.152Z","type":"markdown"},"gitbook":{"version":"3.2.3","
time":"2018-06-06T09:01:20.330Z"},"basePath":"..","book":{"language":""}});
+ gitbook.page.hasChanged({"page":{"title":"Adding rowid for each row","level":"1.5.1","depth":2,"next":{"title":"Hadoop tuning for Hivemall","level":"1.5.2","depth":2,"path":"tips/hadoop_tuning.md","ref":"tips/hadoop_tuning.md","articles":[]},"previous":{"title":"General Hive/Hadoop Tips","level":"1.5","depth":1,"path":"tips/general_tips.md","ref":"tips/general_tips.md","articles":[{"title":"Adding rowid for each row","level":"1.5.1","depth":2,"path":"tips/rowid.md","ref":"tips/rowid.md","articles":[]},{"title":"Hadoop tuning for Hivemall","level":"1.5.2","depth":2,"path":"tips/hadoop_tuning.md","ref":"tips/hadoop_tuning.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.c
ss","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://gith
ub.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":"tips/rowid.md","mtime":"2018-08-29T08:55:00.297Z","type":"markdown"},"gitbook":{"version":"3.2.3","
time":"2018-08-31T06:54:21.013Z"},"basePath":"..","book":{"language":""}});
});
</script>
</div>
@@ -2341,7 +2407,7 @@ 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>
[14/20] incubator-hivemall-site git commit: Added criteo example and
step-by-step guide for general classifier/regressor
Posted by my...@apache.org.
http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/6c6a1b42/userguide/clustering/plsa.html
----------------------------------------------------------------------
diff --git a/userguide/clustering/plsa.html b/userguide/clustering/plsa.html
index 1c5fa14..c394723 100644
--- a/userguide/clustering/plsa.html
+++ b/userguide/clustering/plsa.html
@@ -861,9 +861,9 @@
- <li class="chapter " data-level="5.1" data-path="../misc/prediction.html">
+ <li class="chapter " data-level="5.1" data-path="../supervised_learning/prediction.html">
- <a href="../misc/prediction.html">
+ <a href="../supervised_learning/prediction.html">
<b>5.1.</b>
@@ -876,6 +876,21 @@
</li>
+ <li class="chapter " data-level="5.2" data-path="../supervised_learning/tutorial.html">
+
+ <a href="../supervised_learning/tutorial.html">
+
+
+ <b>5.2.</b>
+
+ Step-by-Step Tutorial on Supervised Learning
+
+ </a>
+
+
+
+ </li>
+
@@ -1228,6 +1243,57 @@
</li>
+ <li class="chapter " data-level="6.8" data-path="../binaryclass/criteo.html">
+
+ <a href="../binaryclass/criteo.html">
+
+
+ <b>6.8.</b>
+
+ Criteo Tutorial
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="6.8.1" data-path="../binaryclass/criteo_dataset.html">
+
+ <a href="../binaryclass/criteo_dataset.html">
+
+
+ <b>6.8.1.</b>
+
+ Data preparation
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="6.8.2" data-path="../binaryclass/criteo_ffm.html">
+
+ <a href="../binaryclass/criteo_ffm.html">
+
+
+ <b>6.8.2.</b>
+
+ Field-Aware Factorization Machines
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
@@ -2519,7 +2585,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
<script>
var gitbook = gitbook || [];
gitbook.push(function() {
- gitbook.page.hasChanged({"page":{"title":"Probabilistic Latent Semantic Analysis","level":"11.2","depth":1,"next":{"title":"Lat/Lon functions","level":"12.1","depth":1,"path":"geospatial/latlon.md","ref":"geospatial/latlon.md","articles":[]},"previous":{"title":"Latent Dirichlet Allocation","level":"11.1","depth":1,"path":"clustering/lda.md","ref":"clustering/lda.md","articles":[]},"dir":"ltr"},"config":{"plugins":["theme-api","edit-link","github","splitter","sitemap","etoc","callouts","toggle-chapters","anchorjs","codeblock-filename","expandable-chapters","multipart","codeblock-filename","katex","emphasize","localized-footer"],"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"pluginsConfig":{"emphasize":{},"callouts":{},"etoc":{"h2lb":3,"header":1,"maxdepth":3,"mindepth":1,"notoc":true},"github":{"url":"https://github.com/apache/incubator-hivemall/"},"
splitter":{},"search":{},"downloadpdf":{"base":"https://github.com/apache/incubator-hivemall/docs/gitbook","label":"PDF","multilingual":false},"multipart":{},"localized-footer":{"filename":"FOOTER.md","hline":"true"},"lunr":{"maxIndexSize":1000000,"ignoreSpecialCharacters":false},"katex":{},"fontsettings":{"theme":"white","family":"sans","size":2,"font":"sans"},"highlight":{},"codeblock-filename":{},"sitemap":{"hostname":"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":"clustering/plsa.md","mtime":"2017-12-11T08:48:01.129Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-06-06T09:01:20.330Z"},"basePath":"..","book":{"language":""}});
+ gitbook.page.hasChanged({"page":{"title":"Probabilistic Latent Semantic Analysis","level":"11.2","depth":1,"next":{"title":"Lat/Lon functions","level":"12.1","depth":1,"path":"geospatial/latlon.md","ref":"geospatial/latlon.md","articles":[]},"previous":{"title":"Latent Dirichlet Allocation","level":"11.1","depth":1,"path":"clustering/lda.md","ref":"clustering/lda.md","articles":[]},"dir":"ltr"},"config":{"plugins":["theme-api","edit-link","github","splitter","sitemap","etoc","callouts","toggle-chapters","anchorjs","codeblock-filename","expandable-chapters","multipart","codeblock-filename","katex","emphasize","localized-footer"],"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"pluginsConfig":{"emphasize":{},"callouts":{},"etoc":{"h2lb":3,"header":1,"maxdepth":3,"mindepth":1,"notoc":true},"github":{"url":"https://github.com/apache/incubator-hivemall/"},"
splitter":{},"search":{},"downloadpdf":{"base":"https://github.com/apache/incubator-hivemall/docs/gitbook","label":"PDF","multilingual":false},"multipart":{},"localized-footer":{"filename":"FOOTER.md","hline":"true"},"lunr":{"maxIndexSize":1000000,"ignoreSpecialCharacters":false},"katex":{},"fontsettings":{"theme":"white","family":"sans","size":2,"font":"sans"},"highlight":{},"codeblock-filename":{},"sitemap":{"hostname":"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":"clustering/plsa.md","mtime":"2018-08-29T08:55:00.269Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-08-31T06:54:21.013Z"},"basePath":"..","book":{"language":""}});
});
</script>
</div>
@@ -2549,7 +2615,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
- <script src="https://cdnjs.cloudflare.com/ajax/libs/anchor-js/4.1.0/anchor.min.js"></script>
+ <script src="https://cdnjs.cloudflare.com/ajax/libs/anchor-js/4.1.1/anchor.min.js"></script>
http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/6c6a1b42/userguide/docker/getting_started.html
----------------------------------------------------------------------
diff --git a/userguide/docker/getting_started.html b/userguide/docker/getting_started.html
index 40ef66b..cb34eb7 100644
--- a/userguide/docker/getting_started.html
+++ b/userguide/docker/getting_started.html
@@ -859,9 +859,9 @@
- <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>
@@ -874,6 +874,21 @@
</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>
+
@@ -1226,6 +1241,57 @@
</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>
+
@@ -2361,7 +2427,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
<script>
var gitbook = gitbook || [];
gitbook.push(function() {
- gitbook.page.hasChanged({"page":{"title":"Getting Started","level":"14.1","depth":1,"next":{"title":"Hivemall on Apache Pig","level":"15.1","depth":1,"url":"https://github.com/daijyc/hivemall/wiki/PigHome","ref":"https://github.com/daijyc/hivemall/wiki/PigHome","articles":[]},"previous":{"title":"Other utility functions","level":"13.4.2","depth":2,"path":"spark/misc/functions.md","ref":"spark/misc/functions.md","articles":[]},"dir":"ltr"},"config":{"plugins":["theme-api","edit-link","github","splitter","sitemap","etoc","callouts","toggle-chapters","anchorjs","codeblock-filename","expandable-chapters","multipart","codeblock-filename","katex","emphasize","localized-footer"],"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"pluginsConfig":{"emphasize":{},"callouts":{},"etoc":{"h2lb":3,"header":1,"maxdepth":3,"mindepth":1,"notoc":true},"github":{"url":"http
s://github.com/apache/incubator-hivemall/"},"splitter":{},"search":{},"downloadpdf":{"base":"https://github.com/apache/incubator-hivemall/docs/gitbook","label":"PDF","multilingual":false},"multipart":{},"localized-footer":{"filename":"FOOTER.md","hline":"true"},"lunr":{"maxIndexSize":1000000,"ignoreSpecialCharacters":false},"katex":{},"fontsettings":{"theme":"white","family":"sans","size":2,"font":"sans"},"highlight":{},"codeblock-filename":{},"sitemap":{"hostname":"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":"docker/getting_started.md","mtime":"2017-12-11T08:48:01.130Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-06-06T09:01:20.330Z"},"basePath":"..","book":{"language":""}});
+ gitbook.page.hasChanged({"page":{"title":"Getting Started","level":"14.1","depth":1,"next":{"title":"Hivemall on Apache Pig","level":"15.1","depth":1,"url":"https://github.com/daijyc/hivemall/wiki/PigHome","ref":"https://github.com/daijyc/hivemall/wiki/PigHome","articles":[]},"previous":{"title":"Other utility functions","level":"13.4.2","depth":2,"path":"spark/misc/functions.md","ref":"spark/misc/functions.md","articles":[]},"dir":"ltr"},"config":{"plugins":["theme-api","edit-link","github","splitter","sitemap","etoc","callouts","toggle-chapters","anchorjs","codeblock-filename","expandable-chapters","multipart","codeblock-filename","katex","emphasize","localized-footer"],"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"pluginsConfig":{"emphasize":{},"callouts":{},"etoc":{"h2lb":3,"header":1,"maxdepth":3,"mindepth":1,"notoc":true},"github":{"url":"http
s://github.com/apache/incubator-hivemall/"},"splitter":{},"search":{},"downloadpdf":{"base":"https://github.com/apache/incubator-hivemall/docs/gitbook","label":"PDF","multilingual":false},"multipart":{},"localized-footer":{"filename":"FOOTER.md","hline":"true"},"lunr":{"maxIndexSize":1000000,"ignoreSpecialCharacters":false},"katex":{},"fontsettings":{"theme":"white","family":"sans","size":2,"font":"sans"},"highlight":{},"codeblock-filename":{},"sitemap":{"hostname":"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":"docker/getting_started.md","mtime":"2018-08-29T08:55:00.270Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-08-31T06:54:21.013Z"},"basePath":"..","book":{"language":""}});
});
</script>
</div>
@@ -2391,7 +2457,7 @@ 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/eval/auc.html
----------------------------------------------------------------------
diff --git a/userguide/eval/auc.html b/userguide/eval/auc.html
index 135900c..62b25d3 100644
--- a/userguide/eval/auc.html
+++ b/userguide/eval/auc.html
@@ -861,9 +861,9 @@
- <li class="chapter " data-level="5.1" data-path="../misc/prediction.html">
+ <li class="chapter " data-level="5.1" data-path="../supervised_learning/prediction.html">
- <a href="../misc/prediction.html">
+ <a href="../supervised_learning/prediction.html">
<b>5.1.</b>
@@ -876,6 +876,21 @@
</li>
+ <li class="chapter " data-level="5.2" data-path="../supervised_learning/tutorial.html">
+
+ <a href="../supervised_learning/tutorial.html">
+
+
+ <b>5.2.</b>
+
+ Step-by-Step Tutorial on Supervised Learning
+
+ </a>
+
+
+
+ </li>
+
@@ -1228,6 +1243,57 @@
</li>
+ <li class="chapter " data-level="6.8" data-path="../binaryclass/criteo.html">
+
+ <a href="../binaryclass/criteo.html">
+
+
+ <b>6.8.</b>
+
+ Criteo Tutorial
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="6.8.1" data-path="../binaryclass/criteo_dataset.html">
+
+ <a href="../binaryclass/criteo_dataset.html">
+
+
+ <b>6.8.1.</b>
+
+ Data preparation
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="6.8.2" data-path="../binaryclass/criteo_ffm.html">
+
+ <a href="../binaryclass/criteo_ffm.html">
+
+
+ <b>6.8.2.</b>
+
+ Field-Aware Factorization Machines
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
@@ -2370,7 +2436,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
<script>
var gitbook = gitbook || [];
gitbook.push(function() {
- gitbook.page.hasChanged({"page":{"title":"Area under the ROC curve","level":"4.1.1","depth":2,"next":{"title":"Multi-label Classification Metrics","level":"4.2","depth":1,"path":"eval/multilabel_classification_measures.md","ref":"eval/multilabel_classification_measures.md","articles":[]},"previous":{"title":"Binary Classification Metrics","level":"4.1","depth":1,"path":"eval/binary_classification_measures.md","ref":"eval/binary_classification_measures.md","articles":[{"title":"Area under the ROC curve","level":"4.1.1","depth":2,"path":"eval/auc.md","ref":"eval/auc.md","articles":[]}]},"dir":"ltr"},"config":{"plugins":["theme-api","edit-link","github","splitter","sitemap","etoc","callouts","toggle-chapters","anchorjs","codeblock-filename","expandable-chapters","multipart","codeblock-filename","katex","emphasize","localized-footer"],"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","
print":"styles/print.css"},"pluginsConfig":{"emphasize":{},"callouts":{},"etoc":{"h2lb":3,"header":1,"maxdepth":3,"mindepth":1,"notoc":true},"github":{"url":"https://github.com/apache/incubator-hivemall/"},"splitter":{},"search":{},"downloadpdf":{"base":"https://github.com/apache/incubator-hivemall/docs/gitbook","label":"PDF","multilingual":false},"multipart":{},"localized-footer":{"filename":"FOOTER.md","hline":"true"},"lunr":{"maxIndexSize":1000000,"ignoreSpecialCharacters":false},"katex":{},"fontsettings":{"theme":"white","family":"sans","size":2,"font":"sans"},"highlight":{},"codeblock-filename":{},"sitemap":{"hostname":"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":"eval/auc.md","mtime":"2017-12-11T08:48:01.130Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-06-06T09:01:20.330Z"},"basePath":"..","book":{"
language":""}});
+ gitbook.page.hasChanged({"page":{"title":"Area under the ROC curve","level":"4.1.1","depth":2,"next":{"title":"Multi-label Classification Metrics","level":"4.2","depth":1,"path":"eval/multilabel_classification_measures.md","ref":"eval/multilabel_classification_measures.md","articles":[]},"previous":{"title":"Binary Classification Metrics","level":"4.1","depth":1,"path":"eval/binary_classification_measures.md","ref":"eval/binary_classification_measures.md","articles":[{"title":"Area under the ROC curve","level":"4.1.1","depth":2,"path":"eval/auc.md","ref":"eval/auc.md","articles":[]}]},"dir":"ltr"},"config":{"plugins":["theme-api","edit-link","github","splitter","sitemap","etoc","callouts","toggle-chapters","anchorjs","codeblock-filename","expandable-chapters","multipart","codeblock-filename","katex","emphasize","localized-footer"],"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","
print":"styles/print.css"},"pluginsConfig":{"emphasize":{},"callouts":{},"etoc":{"h2lb":3,"header":1,"maxdepth":3,"mindepth":1,"notoc":true},"github":{"url":"https://github.com/apache/incubator-hivemall/"},"splitter":{},"search":{},"downloadpdf":{"base":"https://github.com/apache/incubator-hivemall/docs/gitbook","label":"PDF","multilingual":false},"multipart":{},"localized-footer":{"filename":"FOOTER.md","hline":"true"},"lunr":{"maxIndexSize":1000000,"ignoreSpecialCharacters":false},"katex":{},"fontsettings":{"theme":"white","family":"sans","size":2,"font":"sans"},"highlight":{},"codeblock-filename":{},"sitemap":{"hostname":"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":"eval/auc.md","mtime":"2018-08-29T08:55:00.270Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-08-31T06:54:21.013Z"},"basePath":"..","book":{"
language":""}});
});
</script>
</div>
@@ -2400,7 +2466,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
- <script src="https://cdnjs.cloudflare.com/ajax/libs/anchor-js/4.1.0/anchor.min.js"></script>
+ <script src="https://cdnjs.cloudflare.com/ajax/libs/anchor-js/4.1.1/anchor.min.js"></script>
http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/6c6a1b42/userguide/eval/binary_classification_measures.html
----------------------------------------------------------------------
diff --git a/userguide/eval/binary_classification_measures.html b/userguide/eval/binary_classification_measures.html
index 089cd69..2054fd4 100644
--- a/userguide/eval/binary_classification_measures.html
+++ b/userguide/eval/binary_classification_measures.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>
+
@@ -2469,7 +2535,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
<script>
var gitbook = gitbook || [];
gitbook.push(function() {
- gitbook.page.hasChanged({"page":{"title":"Binary Classification Metrics","level":"4.1","depth":1,"next":{"title":"Area under the ROC curve","level":"4.1.1","depth":2,"path":"eval/auc.md","ref":"eval/auc.md","articles":[]},"previous":{"title":"TF-IDF Calculation","level":"3.7","depth":1,"path":"ft_engineering/tfidf.md","ref":"ft_engineering/tfidf.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":{},"sear
ch":{},"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":{"selec
tor":"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":"eval/binary_classification_measures.md","mtime":"2017-12-11T08:48:01.130Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-06-06T09:01:20.330Z"},"basePath":"..","book":{"language":""}});
+ gitbook.page.hasChanged({"page":{"title":"Binary Classification Metrics","level":"4.1","depth":1,"next":{"title":"Area under the ROC curve","level":"4.1.1","depth":2,"path":"eval/auc.md","ref":"eval/auc.md","articles":[]},"previous":{"title":"TF-IDF Calculation","level":"3.7","depth":1,"path":"ft_engineering/tfidf.md","ref":"ft_engineering/tfidf.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":{},"sear
ch":{},"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":{"selec
tor":"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":"eval/binary_classification_measures.md","mtime":"2018-08-29T08:55:00.270Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-08-31T06:54:21.013Z"},"basePath":"..","book":{"language":""}});
});
</script>
</div>
@@ -2499,7 +2565,7 @@ 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/eval/datagen.html
----------------------------------------------------------------------
diff --git a/userguide/eval/datagen.html b/userguide/eval/datagen.html
index 146fbfd..58689de 100644
--- a/userguide/eval/datagen.html
+++ b/userguide/eval/datagen.html
@@ -861,9 +861,9 @@
- <li class="chapter " data-level="5.1" data-path="../misc/prediction.html">
+ <li class="chapter " data-level="5.1" data-path="../supervised_learning/prediction.html">
- <a href="../misc/prediction.html">
+ <a href="../supervised_learning/prediction.html">
<b>5.1.</b>
@@ -876,6 +876,21 @@
</li>
+ <li class="chapter " data-level="5.2" data-path="../supervised_learning/tutorial.html">
+
+ <a href="../supervised_learning/tutorial.html">
+
+
+ <b>5.2.</b>
+
+ Step-by-Step Tutorial on Supervised Learning
+
+ </a>
+
+
+
+ </li>
+
@@ -1228,6 +1243,57 @@
</li>
+ <li class="chapter " data-level="6.8" data-path="../binaryclass/criteo.html">
+
+ <a href="../binaryclass/criteo.html">
+
+
+ <b>6.8.</b>
+
+ Criteo Tutorial
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="6.8.1" data-path="../binaryclass/criteo_dataset.html">
+
+ <a href="../binaryclass/criteo_dataset.html">
+
+
+ <b>6.8.1.</b>
+
+ Data preparation
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="6.8.2" data-path="../binaryclass/criteo_ffm.html">
+
+ <a href="../binaryclass/criteo_ffm.html">
+
+
+ <b>6.8.2.</b>
+
+ Field-Aware Factorization Machines
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
@@ -2270,7 +2336,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
<script>
var gitbook = gitbook || [];
gitbook.push(function() {
- gitbook.page.hasChanged({"page":{"title":"Data Generation","level":"4.5","depth":1,"next":{"title":"Logistic Regression data generation","level":"4.5.1","depth":2,"path":"eval/lr_datagen.md","ref":"eval/lr_datagen.md","articles":[]},"previous":{"title":"Ranking Measures","level":"4.4","depth":1,"path":"eval/rank.md","ref":"eval/rank.md","articles":[]},"dir":"ltr"},"config":{"plugins":["theme-api","edit-link","github","splitter","sitemap","etoc","callouts","toggle-chapters","anchorjs","codeblock-filename","expandable-chapters","multipart","codeblock-filename","katex","emphasize","localized-footer"],"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"pluginsConfig":{"emphasize":{},"callouts":{},"etoc":{"h2lb":3,"header":1,"maxdepth":3,"mindepth":1,"notoc":true},"github":{"url":"https://github.com/apache/incubator-hivemall/"},"splitter":{},"search":{},"downl
oadpdf":{"base":"https://github.com/apache/incubator-hivemall/docs/gitbook","label":"PDF","multilingual":false},"multipart":{},"localized-footer":{"filename":"FOOTER.md","hline":"true"},"lunr":{"maxIndexSize":1000000,"ignoreSpecialCharacters":false},"katex":{},"fontsettings":{"theme":"white","family":"sans","size":2,"font":"sans"},"highlight":{},"codeblock-filename":{},"sitemap":{"hostname":"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,h
3,*: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":"eval/datagen.md","mtime":"2017-12-11T08:48:01.130Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-06-06T09:01:20.330Z"},"basePath":"..","book":{"language":""}});
+ gitbook.page.hasChanged({"page":{"title":"Data Generation","level":"4.5","depth":1,"next":{"title":"Logistic Regression data generation","level":"4.5.1","depth":2,"path":"eval/lr_datagen.md","ref":"eval/lr_datagen.md","articles":[]},"previous":{"title":"Ranking Measures","level":"4.4","depth":1,"path":"eval/rank.md","ref":"eval/rank.md","articles":[]},"dir":"ltr"},"config":{"plugins":["theme-api","edit-link","github","splitter","sitemap","etoc","callouts","toggle-chapters","anchorjs","codeblock-filename","expandable-chapters","multipart","codeblock-filename","katex","emphasize","localized-footer"],"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"pluginsConfig":{"emphasize":{},"callouts":{},"etoc":{"h2lb":3,"header":1,"maxdepth":3,"mindepth":1,"notoc":true},"github":{"url":"https://github.com/apache/incubator-hivemall/"},"splitter":{},"search":{},"downl
oadpdf":{"base":"https://github.com/apache/incubator-hivemall/docs/gitbook","label":"PDF","multilingual":false},"multipart":{},"localized-footer":{"filename":"FOOTER.md","hline":"true"},"lunr":{"maxIndexSize":1000000,"ignoreSpecialCharacters":false},"katex":{},"fontsettings":{"theme":"white","family":"sans","size":2,"font":"sans"},"highlight":{},"codeblock-filename":{},"sitemap":{"hostname":"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,h
3,*: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":"eval/datagen.md","mtime":"2018-08-29T08:55:00.270Z","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/eval/lr_datagen.html
----------------------------------------------------------------------
diff --git a/userguide/eval/lr_datagen.html b/userguide/eval/lr_datagen.html
index 574a135..05d1c6f 100644
--- a/userguide/eval/lr_datagen.html
+++ b/userguide/eval/lr_datagen.html
@@ -97,7 +97,7 @@
<link rel="shortcut icon" href="../gitbook/images/favicon.ico" type="image/x-icon">
- <link rel="next" href="../misc/prediction.html" />
+ <link rel="next" href="../supervised_learning/prediction.html" />
<link rel="prev" href="datagen.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>
+
@@ -2358,7 +2424,7 @@ 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 data generation","level":"4.5.1","depth":2,"next":{"title":"How Prediction Works","level":"5.1","depth":1,"path":"misc/prediction.md","ref":"misc/prediction.md","articles":[]},"previous":{"title":"Data Generation","level":"4.5","depth":1,"path":"eval/datagen.md","ref":"eval/datagen.md","articles":[{"title":"Logistic Regression data generation","level":"4.5.1","depth":2,"path":"eval/lr_datagen.md","ref":"eval/lr_datagen.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","e
pub":"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":"eval/lr_datagen.md","mtime":"2017-12-11T08:48:01.130Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-06-06T09:01:20.330Z"},"basePath":"..","book":{"language":""}});
+ gitbook.page.hasChanged({"page":{"title":"Logistic Regression data generation","level":"4.5.1","depth":2,"next":{"title":"How Prediction Works","level":"5.1","depth":1,"path":"supervised_learning/prediction.md","ref":"supervised_learning/prediction.md","articles":[]},"previous":{"title":"Data Generation","level":"4.5","depth":1,"path":"eval/datagen.md","ref":"eval/datagen.md","articles":[{"title":"Logistic Regression data generation","level":"4.5.1","depth":2,"path":"eval/lr_datagen.md","ref":"eval/lr_datagen.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":"eval/lr_datagen.md","mtime":"2018-08-29T08:55:00.271Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-08-31T06:54:21.013Z"},"basePath":"..","book":{"language":""}});
});
</script>
</div>
@@ -2388,7 +2454,7 @@ 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/eval/multilabel_classification_measures.html
----------------------------------------------------------------------
diff --git a/userguide/eval/multilabel_classification_measures.html b/userguide/eval/multilabel_classification_measures.html
index dbd090c..351c856 100644
--- a/userguide/eval/multilabel_classification_measures.html
+++ b/userguide/eval/multilabel_classification_measures.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>
+
@@ -2409,7 +2475,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
<script>
var gitbook = gitbook || [];
gitbook.push(function() {
- gitbook.page.hasChanged({"page":{"title":"Multi-label Classification Metrics","level":"4.2","depth":1,"next":{"title":"Regression Metrics","level":"4.3","depth":1,"path":"eval/regression.md","ref":"eval/regression.md","articles":[]},"previous":{"title":"Area under the ROC curve","level":"4.1.1","depth":2,"path":"eval/auc.md","ref":"eval/auc.md","articles":[]},"dir":"ltr"},"config":{"plugins":["theme-api","edit-link","github","splitter","sitemap","etoc","callouts","toggle-chapters","anchorjs","codeblock-filename","expandable-chapters","multipart","codeblock-filename","katex","emphasize","localized-footer"],"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"pluginsConfig":{"emphasize":{},"callouts":{},"etoc":{"h2lb":3,"header":1,"maxdepth":3,"mindepth":1,"notoc":true},"github":{"url":"https://github.com/apache/incubator-hivemall/"},"splitter":{},"search":{
},"downloadpdf":{"base":"https://github.com/apache/incubator-hivemall/docs/gitbook","label":"PDF","multilingual":false},"multipart":{},"localized-footer":{"filename":"FOOTER.md","hline":"true"},"lunr":{"maxIndexSize":1000000,"ignoreSpecialCharacters":false},"katex":{},"fontsettings":{"theme":"white","family":"sans","size":2,"font":"sans"},"highlight":{},"codeblock-filename":{},"sitemap":{"hostname":"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":"eval/multilabel_classification_measures.md","mtime":"2017-12-11T08:48:01.131Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-06-06T09:01:20.330Z"},"basePath":"..","book":{"language":""}});
+ gitbook.page.hasChanged({"page":{"title":"Multi-label Classification Metrics","level":"4.2","depth":1,"next":{"title":"Regression Metrics","level":"4.3","depth":1,"path":"eval/regression.md","ref":"eval/regression.md","articles":[]},"previous":{"title":"Area under the ROC curve","level":"4.1.1","depth":2,"path":"eval/auc.md","ref":"eval/auc.md","articles":[]},"dir":"ltr"},"config":{"plugins":["theme-api","edit-link","github","splitter","sitemap","etoc","callouts","toggle-chapters","anchorjs","codeblock-filename","expandable-chapters","multipart","codeblock-filename","katex","emphasize","localized-footer"],"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"pluginsConfig":{"emphasize":{},"callouts":{},"etoc":{"h2lb":3,"header":1,"maxdepth":3,"mindepth":1,"notoc":true},"github":{"url":"https://github.com/apache/incubator-hivemall/"},"splitter":{},"search":{
},"downloadpdf":{"base":"https://github.com/apache/incubator-hivemall/docs/gitbook","label":"PDF","multilingual":false},"multipart":{},"localized-footer":{"filename":"FOOTER.md","hline":"true"},"lunr":{"maxIndexSize":1000000,"ignoreSpecialCharacters":false},"katex":{},"fontsettings":{"theme":"white","family":"sans","size":2,"font":"sans"},"highlight":{},"codeblock-filename":{},"sitemap":{"hostname":"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":"eval/multilabel_classification_measures.md","mtime":"2018-08-29T08:55:00.271Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-08-31T06:54:21.013Z"},"basePath":"..","book":{"language":""}});
});
</script>
</div>
@@ -2439,7 +2505,7 @@ 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/eval/rank.html
----------------------------------------------------------------------
diff --git a/userguide/eval/rank.html b/userguide/eval/rank.html
index e11062f..4094feb 100644
--- a/userguide/eval/rank.html
+++ b/userguide/eval/rank.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>
+
@@ -2705,7 +2771,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
<script>
var gitbook = gitbook || [];
gitbook.push(function() {
- gitbook.page.hasChanged({"page":{"title":"Ranking Measures","level":"4.4","depth":1,"next":{"title":"Data Generation","level":"4.5","depth":1,"path":"eval/datagen.md","ref":"eval/datagen.md","articles":[{"title":"Logistic Regression data generation","level":"4.5.1","depth":2,"path":"eval/lr_datagen.md","ref":"eval/lr_datagen.md","articles":[]}]},"previous":{"title":"Regression Metrics","level":"4.3","depth":1,"path":"eval/regression.md","ref":"eval/regression.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":"eval/rank.md","mtime":"2017-12-11T08:48:01.131Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-06-06T09:01:20.330Z"},"basePath":"..","book":{"language":""}});
+ gitbook.page.hasChanged({"page":{"title":"Ranking Measures","level":"4.4","depth":1,"next":{"title":"Data Generation","level":"4.5","depth":1,"path":"eval/datagen.md","ref":"eval/datagen.md","articles":[{"title":"Logistic Regression data generation","level":"4.5.1","depth":2,"path":"eval/lr_datagen.md","ref":"eval/lr_datagen.md","articles":[]}]},"previous":{"title":"Regression Metrics","level":"4.3","depth":1,"path":"eval/regression.md","ref":"eval/regression.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":"eval/rank.md","mtime":"2018-08-29T08:55:00.271Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-08-31T06:54:21.013Z"},"basePath":"..","book":{"language":""}});
});
</script>
</div>
@@ -2735,7 +2801,7 @@ 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/eval/regression.html
----------------------------------------------------------------------
diff --git a/userguide/eval/regression.html b/userguide/eval/regression.html
index 2ad021e..789bf46 100644
--- a/userguide/eval/regression.html
+++ b/userguide/eval/regression.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>
+
@@ -2332,7 +2398,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
<script>
var gitbook = gitbook || [];
gitbook.push(function() {
- gitbook.page.hasChanged({"page":{"title":"Regression Metrics","level":"4.3","depth":1,"next":{"title":"Ranking Measures","level":"4.4","depth":1,"path":"eval/rank.md","ref":"eval/rank.md","articles":[]},"previous":{"title":"Multi-label Classification Metrics","level":"4.2","depth":1,"path":"eval/multilabel_classification_measures.md","ref":"eval/multilabel_classification_measures.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":"eval/regression.md","mtime":"2017-12-11T08:48:01.131Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-06-06T09:01:20.330Z"},"basePath":"..","book":{"language":""}});
+ gitbook.page.hasChanged({"page":{"title":"Regression Metrics","level":"4.3","depth":1,"next":{"title":"Ranking Measures","level":"4.4","depth":1,"path":"eval/rank.md","ref":"eval/rank.md","articles":[]},"previous":{"title":"Multi-label Classification Metrics","level":"4.2","depth":1,"path":"eval/multilabel_classification_measures.md","ref":"eval/multilabel_classification_measures.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":"eval/regression.md","mtime":"2018-08-29T08:55:00.272Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-08-31T06:54:21.013Z"},"basePath":"..","book":{"language":""}});
});
</script>
</div>
@@ -2362,7 +2428,7 @@ 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>
[07/20] incubator-hivemall-site git commit: Added criteo example and
step-by-step guide for general classifier/regressor
Posted by my...@apache.org.
http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/6c6a1b42/userguide/search_index.json
----------------------------------------------------------------------
diff --git a/userguide/search_index.json b/userguide/search_index.json
index e5fc83d..8e69da9 100644
--- a/userguide/search_index.json
+++ b/userguide/search_index.json
@@ -1 +1 @@
-{"index":{"version":"0.5.12","fields":[{"name":"title","boost":10},{"name":"keywords","boost":15},{"name":"body","boost":1}],"ref":"url","documentStore":{"store":{"./":["(asf),","adadelta.","adapt","algorithm","analyt","anomali","apach","architectur","art","batch","build","built","classification,","collect","confid","consid","conversely,","cross","data","design","detection,","eas","effort","engineering.","factor","featur","foundat","function","functionalities:","functions.","hive","hive/pig.","hivemal","incub","incubator.","interface.","introduct","k","learn","learning;","librari","machin","machines,","mainli","model","nearest","neighbor,","number","offer","pig","platform","predict","provid","queri","recommendation,","regression,","regular","run","runtime.","soft","softwar","spark","spark/pig,","sponsor","state","such","support","through","thus,","udf/udaf/udtf","undergo","us","varieti","vectors,","versatil","weight","weighted,"],"getting_started/":["(asf),","apach","effort","founda
t","get","hivemal","incub","incubator.","softwar","sponsor","start","summari","undergo"],"getting_started/installation.html":["$","$home/.hiverc","(asf),","(of","./target.","/home/myui/tmp/defin","/home/myui/tmp/hivemal","/tmp/defin","/tmp/hivemal","7","add","all.hiv","all.hive;","alternatively,","apach","automat","bin/build.sh","build","cd","choic","clone","command","defin","docker","e.g.,","each","effort","file.","find","follow","foundat","function","git","given","hadoop","hive","hivemal","hivemall.git","https://github.com/apache/incub","incub","incubator.","instal","jar","java","later","line","load","note","pig","platforms:","prerequisit","run","session.","softwar","sourc","spark","sponsor","start","test","then,","time","time.","two","undergo","v0.13","v0.5.0)","v2.4.0","version,","xxx.jar","xxx.jar;"],"getting_started/permanent-functions.html":["\"hivemall.\"","\"hivemall.*\";","(asf),","/apps/hivemal","/tmp/defin",">","apach","auxiliari","avoid","call","case","cautiony","confir
m","creat","databas","database.","databases,","ddl","default","defin","each","effort","exist","first,","follow","follows:","foundat","fs","function","hadoop","hdf","hive","hivemal","hivemall.","hivemall.adadelta","hivemall.adagrad","hivemall;","hiveserv","hivevar:hivemall_jar=hdfs:///apps/hivemall/hivemal","incub","incubator.","instal","jar","later","live","load","mkdir","need","non","p","perman","permanent.hive,","permanent.hive;","prefix","put","queri","scheme,","script","session.","sessions.","set","show","softwar","sourc","specifi","sponsor","step","support","then,","through","udf","udfs.","undergo","us","v0.13","xxx.jar","xxx.jar.jar;"],"getting_started/input-format.html":["\"0\"","\"0:1.0\"","\":\",","\"dog\"","\"height:1.5\"","\"length:2.0\"","\"length:2.0\")","\"name\"),","\"weight\"),","\"xxxxxxx","(","(+1)","(=16777216)","(a.k.a.","(asf),","(binari","(call","(cf.","(e.g.,","(for","(i.e.,","(int","(or","(v0.3.1","(we","(weight)",")","),",");",",\"","..","0","0,","0.0","0.0f
","1","1)","1),","1,","1,180.3,70.2","1,cast(nul","1.","1.0","1.0,","1.0.","1.0f","10:3.4","123:0.5","16777216.","2","2^24","3)","34567:0.231","43352:55.3","55.0","55.0);",":","::=","[\"1:3.0\",\"2:4.0\",\"3:5.0\"]","[\"apple:1.0\",\"height:180.3\",\"weight:70.2\"]","[\"apple:1.0\",null,\"weight:70.2\"]","[\"is_cat#1\",\"is_dog#0\",\"is_lion#1.0\",\"is_pengin#true\",\"species#dog\"]","[\"is_cat#1\",\"is_dog#0\",\"is_lion#1.0\",\"is_pengin#true\",null]","[,","[10,7,9]","accept","actual","ad","add_bia","add_feature_index","add_feature_index(array(3,4.0,5))","addit","alternatively,","apach","append","appli","argument","arguments:","array","array<int|bigint|text>","array(\"apple\",\"height\",\"weight\"),","array(\"bias:1.0\"),","array(\"height\",","array(\"height:1.5\",","array(\"id\",","array(\"is_cat\",\"is_dog\",\"is_lion\",\"is_pengin\",\"species\"),","articl","befor","between","bia","bias/dummi","bigint)","bigint,","binari","call","cast","cast(target","categor","categorical_feat
ures(","categorical_features(array","class","class)","classif","classifi","click_or_not","column","column.","common","compat","compress","concat(\"weight\",\":\",55.0);","concat(mhash(extract_feature(\"xxxxxxx","concat_array(","consid","const","convert_label(","convert_label(0.0f),","convert_label(1),","convert_label(1.0f)","creat","data","default","denot","describ","detail.","dimens","don't","doubl","double),70.2","dual;","dummi","e.g.","each","ebnf","effort","element","emit_null\"","entry.","exampl","example,","example.","example:","examples.","except","explain","explanatori","explicitli","extract_feature(\"weight:55.0\"),","extract_weight(\"weight:55.0\");","extract_weight(\"xxxxxxx","featur","feature(\"weight\",","feature(mhash(extract_feature(\"xxxxxxx","feature1,","feature2,","feature_index(array(\"10:0.2\",\"7:0.3\",\"9\"));","featurenames,","features)","features,","features.","first","fit","float","float)","follow","follows:","format","format.","format:","foundat","function"
,"function)","function.","gener","general,","hand,","happens.","hash","hashing/hash","height,","helper","here","here,","hivemal","hivemall.","huge","hyperparameters).","id,","import","incub","incubator.","index","index)","index.","input","instanc","int","int,","label","label,","label.","large.","later","later)","later,","learning.","less","libsvm","logist","long","machin","memori","mention","mhash","model","multi","name","need","neg","normal","notat","note","note:","null","number","number.","numbers,","omit","option","options])","outofmemori","page","pleas","posit","predict","prepar","primit","probabl","produc","provid","quantit","quantitative_features(","quantitative_features(array","rang","real","refer","regress","regression)","regression,","regression.","repres","reserv","respectively.","respons","response/predictor","row","rowid()","rowid,","scheme","select","setting.","similar","softwar","spaces,","spars","specif","specifi","sponsor","start","statistics).","statistics,","storag
e)","string","support","tabl","table.","table;","take","target","target)","target.","text","text.","through","train","trick","true,","two","type","typically,","undergo","us","usual","v0.3","v0.3,","v0.3.2","v0.4.0","valu","variabl","variable,","variable.","variables.","vector","veri","vowpal","wabbit.","weight","weight.","weight:55.0","weight:55.3\")","weight:55.3\"))","weight:55.3\")),","yyyyyi","|"],"misc/funcs.html":["(","(...,","(1.0","(:)*","(arow)","(asf),","(coeffici","(cw)","(f1score","(i.e.,","(pa","(pa)","(scw","(select","(sst).","(string","(sum(1.0","(sum(mean","(zscore)",")","),","*","*)","+",",","..","...","...)","..]","/","0","1","1)","1.0","10')","1296","1;","1k","1st","2","2)","2770","2:v2,","2^2n","2^zoom","3","4","4.0","5","5008","5824","5925","::","=",">",">=","@nonnul","@nullabl","[,","[,int","[1:v1,","[const","[or","[string","])","absolut","actual)","actual,","adapt","add_bias(feature_vector","add_feature_index(array[double]:","add_field_indices(array","aggreg",
"aggress","algorithm","amplif","amplifi","amplify(const","angular","angular_distance(ftvec1,","angular_similarity(ftvec1,","anomali","apach","approx_count_distinct(expr","approxim","argmin_kld(float","argument","arow","array","array(l.id))","array)","array,","array:","array>","array[int])","array_hash_values(array","array|int|","attribut","auc","auc(array","augment","auto_shrink","averag","average_precision(array","avg(rating)","b","b])","bag","base","bbit_minhash(array<>","beta=1.0)","between","bf","bf2)","bi","bi[,","bi])","bia","bin","binari","binarize_label(int/long","bins:","bit","bloom","bloom(id)","bloom(movieid)","bloom(str","bloom)","bloom,","bloom1,","bloom2)","bloom_and(bf1,","bloom_and(str","bloom_contains(r.movies,","bloom_contains(str","bloom_contains_any(r.bf,","bloom_contains_any(str","bloom_not(bf)","bloom_not(str","bloom_or(bf1,","bloom_or(str","bloomfilt","boolean","bpr_sampling(int","bprmf_predict(list","bu,","build","build_bins(numb","categor","categorical_featu
res(array","chang","changefinder(double|array","changefinder.","chi2(array>","chi2_val","class","classif","classifi","classification=false])","classnames=null)","classweights])","clusterid)","cnt","coeffici","col1,","col2,","colnorm","column","compare,","comput","confid","consid","consist","const","constant","construct","contain","conv2dense(int","convers","correctitem","cosin","cosine_distance(ftvec1,","cosine_similarity(ftvec1,","count(distinct","covar","covar)","covar)))","creat","cross","d)","data","data1","data2","dataset","decis","degre","dens","depth","describ","detail","detect","determination)","differ","differences:","dimensions)","dimsum_mapper(array","distanc","distance),","distance2similarity(float","distribut","diverg","doubl","dual","dual;","each","effort","element","encod","ensembl","error","euclid","euclid_distance(ftvec1,","euclid_similarity(ftvec1,","evalu","exist","expected)","explode(array(1,2,3,4,5))","explode(array(1,3,5,6,8))","export","extract_feature(feature
_vector","extract_weight(feature_vector","f","f1","f1score(array[int],","factor","fals","false])","featur","feature(","feature,","feature1,","feature2,","feature_binning(array","feature_hashing(array","feature_index(feature_vector","feature_pairs(feature_vector","feature_vector)","feature_vector,","featurenames,","featurenames=null,","features)","features,","ffm_features(const","ffm_predict(float","field","filter","float","fm_predict(float","fmeasure(array|int|boolean","forest","format","formula","foundat","frequenc","ftvec2)","func(lat,lon,zoom)","func(numb","func(str","function","functions.","gener","geospati","given","googl","group","guess_attribute_types(*)","guess_attribute_types(any,","ham","hamming_distance(a,","hash","have","haversin","haversine_distance(doubl","hing","hitrat","hitrate(array","hivemal","hivemall_version()","hivemall_version();","hot","http://tile.openstreetmap.org/${zoom}/${xtile}/${ytile}.png","http://wiki.openstreetmap.org/wiki/slippy_map_tilenam","https:/
/www.google.com/maps/@${lat},${lon},${zoom}z","hyperloglogplu","i,","id","identifi","includ","incub","incubator.","index","index,","indexed_features(doubl","indic","input","int","int/long","intercept,","int|str","item","item,","item_pairs_sampling(array","items,","j,","jaccard","jaccard_distance(a,","jaccard_similarity(a,","javascript/dot]","join","k","k])","key","key(s).","key)","keygroup","keys)","kl","kld(doubl","km","kpa_predict(@nonnul","l","l.*","l.movieid)","l.rate","l.rating,","l.rating;","l.userid)","l1","l1_normalize(ftvec","l2","l2_normalize(ftvec","label","label)","label,","lambda[,","lat,","lat1,","lat2,","lat2tiley(doubl","latitud","latlon_distance(lat1,","lda_predict(str","learn","level","level.","libffm","limit","list","local","locat","logic","logist","logloss(doubl","logrithm","lon,","lon1,","lon2)","lon2,","lon2tilex(doubl","longitud","loss","lr_datagen('","lr_datagen(opt","m1,","machin","mae(doubl","manhattan_distance(list","map","map)","map>","map_url(doubl","map
s:","matrix","max","max)","max_item_id","max_label(doubl","maximum","maxrow(ani","mean","mean,","measur","mf_predict(list","mhash(str","mile=false])::doubl","miles]","min","min,","minhash","minhash(ani","minhashes(array<>","minim","minkowski_distance(list","model","model,","model_id,","model_weight=1.0]])","modelid,","more","movi","movieid","mrr","mrr(array","mse(doubl","mu2,","mu]])","mu]]>","multiclass","murmurhash3","n","n_exampl","n_featur","ndcg","ndcg(array","ndims)","negative,","negitem","nois","non","normal","noweight]])","null.","num_of_bins[,","number","numfeatures])","numfeatures],","numhashes,","numhashes])","observed,","on","onehot","onehot_encoding(primit","oob_error_rate>","oob_errors,","oob_tests>","openstreetmap:","option","option])","options,","options])","options],","other","outlier/chang","output,","p)","p_val","page","pare","partial","passiv","perceptron","plsa_predict(str","point","polynomi","polynomial_features(feature_vector","popcnt(a","popcount","populate_n
ot_in(list","pos_items,","posit","positem","positem,","positive,","positive/neg","posteriori>","power","powered_features(feature_vector","precis","precision_at(array","pred_model","pred_model>","pred_models,","predict","predicted)","predicted,","prefix","prefixed_hash_values(array","preprocess","prob[,","proba","probabilities>","probability)","pu,","purpos","q,q,c,c,c,c,q,c,c,c,q,c,q,q,q,q,c,q","qi","qi[,","quantified_features(boolean","quantify(boolean","quantil","quantiles)","quantiles_map)","quantitative_features(array","r","r2(doubl","r_i,","r_j","rand_amplify(const","random","randomforest","rank","rankitem","rankitems,","rankitems.s","rankitems.size])","rate","ratio","recal","recall_at(array","recommend","recommends","record","refer","regress","regressor","regular","relat","repres","rescal","rescale(value,","result","return","rf_ensemble(int","rmse(doubl","root","row","row,","rowid,","satisfied_movi","scale","score","score,","see","select","sensit","set","sha","sha1(str","shrin
kage,","side","sigma","sigma1,","signal","signatur","similar","similarity,","singular","sketch","snr(array","soft","softwar","sort","sort_by_feature(map","space","spars","special","specifi","spectrum","sponsor","sqrt(sum((x","squar","sst(double|array","standard","start","stddev)","string","string)","string[]","such","sum","sum(|x","t","t;","tabl","take","target","term","text)","tf(string","tile","tile(doubl","tilex2lon(int","tiley2lat(int","time","to_dense_features(array","to_sparse_features(array","topic","topkratesofi,","train","train_arow(list","train_arow_regr(array","train_arowe2_regr(array","train_arowe_regr(array","train_arowh(list","train_bprmf(int","train_classifier(list","train_cw(list","train_ffm(array","train_fm(array","train_gradient_tree_boosting_classifier(array","train_kpa(array","train_lda(array","train_mf_adagrad(int","train_mf_sgd(int","train_multiclass_arow(list","train_multiclass_arowh(list","train_multiclass_cw(list","train_multiclass_pa(list","train_multiclass
_pa1(list","train_multiclass_pa2(list","train_multiclass_perceptron(list","train_multiclass_scw(list","train_multiclass_scw2(list","train_multiclass_xgboost_classifier(string[]","train_pa(list","train_pa1(list","train_pa1_regr(array","train_pa1a_regr(array","train_pa2(list","train_pa2_regr(array","train_pa2a_regr(array","train_perceptron(list","train_plsa(array","train_randomforest_classifier(array","train_randomforest_regression(array","train_regressor(list","train_scw(list","train_scw2(list","train_slim(","train_xgboost_classifier(string[]","train_xgboost_regr(string[]","transform","tree","tree_export(str","tree_predict(str","true","truncate])","tupl","two","type","udfs.","undergo","url","us","usage:","useindexasprefix])","user,","userid,","v1,","v2,","valu","value)","value,","values,","var_importance,","variabl","vector","vector)","vectorhav","vectorize_features(array","version","vifj,","vjf,","vjfi,","voted_avg(doubl","w0,","w1,","w2,","w3)","weight","weight,","weight_voted_avg(
expr)","wi,","wise","wj,","word","word)","word,","words[,","x","x)","x,","xgboost","xgboost_multiclass_predict(str","xgboost_predict(str","xh,","xi,","xj)","xk,","xtile(lon,zoom)","xtime","xtimes,","xxx;","y","y)","y)^2))","y,","yhat","ytile(lat,zoom)","y|)","y|^p)^(1/p)","zero","zoom","zoom)::bigint","zoom)::doubl","zoom)::int","zscore(value,","{int|string}","|"],"tips/":["(asf),","apach","effect","effort","foundat","hivemal","incub","incubator.","softwar","sponsor","tip","undergo"],"tips/addbias.html":["\"0\"","(\"","(0,0).","(1,1)","(2,2)","(asf),","(feature,weight)","(or","(select",")","1\"","_b","ad","add","add_bias()","addbias()","addbiasudf","alway","apach","avg(weight)","b,","becuas","befor","better","bia","both(important!)","cast(split(feature,\":\")[1]","claus","clause,","consid","creat","cross","data","dataset","default.","detail.","divid","e2006tfidf_pa1a_model","e2006tfidf_test","e2006tfidf_test_explod","e2006tfidf_train_x3","effort","enabl","examples.","exist","explici
t","explode(add_bias(features))","express","extract_feature(feature)","extract_weight(feature)","f(x)","f(x).","f(x)=wx+b","f(x)=y,","featur","feature,","feature;","float)","follow","follows.","form","found","foundat","function","group","hivemal","hivemall,","hyperplan","incub","incubator.","label","later","learn","make","model","note","origin","origin.","pa1a_regress(add_bias(features),target)","point","predict","regularization),","rowid,","see","select","softwar","split(feature,\":\")[0]","sponsor","t","tabl","target,","test","then,","train","trainer","training/test","undergo","us","v0.3)","v0.3.1","valu","vector.","view","w,","weight","without","x","y","y=f(x)=wx"],"tips/rand_amplify.html":["${shufflebuffersize}","${shufflebuffersize},","${xtimes}","(","(0.743392)","(0.746214)","(a","(asf),","(copy)","(e.g.,","(external)","(feature,weight)","(rowid,","(sec)","(select",")","*","*)","0.734805","0.743392","0.746214","1","100","116.424","2","2012,","3.","479.855","89.718","abov","acc
uraci","actual","algorithm","amplifi","amplifier+clust","amplify(${xtimes},","amplify()","apach","argument","articl","auc","avoid","becom","below:","better","bottleneck","bottleneck.","buffer","cast(avg(weight)","caus","claus","cluster","conclus","converg","creat","cup","data,","deal","definit","descent)","distribut","each","effect","effici","effort","elaps","enumer","even","exampl","example)","example,","example.","examples,","execut","explain","factor","factor.in","feature,","feature;","features)","file","filled.","first","float)","follow","follows:","foundat","function","good","gradient","group","hdfs.","higher","hivemal","hivevar:shufflebuffersize=1000;","hivevar:xtimes=3;","however,","improv","in/out","incub","incubator.","input","instance.","instead","involv","iter","iterations.","job","job.","kdd","key","key.","known","label,","larg","learn","local","logress(features,label)","lr_model_x3","m/r","machin","mandatori","map","mapreduc","merg","method","models.","more","multipl","
need","note","oper","order","output","phase","plain","predict","problem","problem.","provid","queri","rand();","rand_amplifi","rand_amplify(${xtimes},","rand_amplify()","rand_amplify(),","random","randomli","reason","recommend","record","reduc","replac","requir","result","return","row","row.","score.","select","set","sever","show","shown","shuffl","shuffled.","similar","singl","slow","small","so,","softwar","sort!","spark","specifi","sponsor","stage","steps.","stochast","suit","t","tabl","task","task.","tasks,","techniqu","then,","through","time","time.","track","train","training_orcfil","training_orcfile;","training_x3","trainning_x3","udtf","undergo","us","user","variants.","veri","view","weight","within","without"],"tips/rt_prediction.html":["\"\\n\"","\"\\t\"","$sqoop_home/lib.","'\\n'","'\\t'","'a9a_model1_tsv'","'features'","'sqoop';","'sqoop'@'%'","'t'","(","(/etc/mysql/my.conf)","(0,1,10)","(0,1,10);","(0.00","(1.0","(asf),","(feature);","(i.e.,","(jdbc","(option","(rowid)",
"(t.featur",");","*","+","/","//","/user/hive/warehouse/a9a.db/a9a_model1_tsv","/user/hive/warehouse/a9a.db/a9atest_exploded_tsv","0","0.0","0.0)","0.05595205126313402","0.1310696931351625","0.21053194999694824","0.5,","0.5761121511459351","1","1.0","1.0).","1.0,","1.4.5","1.5259535312652588","10","10;","12427","12427;","12428","16","2.6.","3","3;","5","67","7","73","74","76","82","83",";","=",">","\\","a9a","a9a.*","a9a;","a9a_model1","a9a_model1;","a9a_model1_feature_index","a9a_model1_tsv","a9a_model1_tsv;","a9atest","a9atest_explod","a9atest_exploded_rowid_index","a9atest_exploded_tsv","a9atest_exploded_tsv;","abov","access","achiev","add","alreadi","alternatively,","apach","article,","assum","batch","be","begin","better","bigint,","bin/sqoop","binari","bind_address","boost","btree;","build","build.xml","carri","categor","check","classif","column","configur","connect","connector","creat","data","databas","dbms.","defin","delimit","desc","dir","directori","do","doubl","double)","
driver)","drop","each","edit","effort","end;","entri","exist","exp(","explain","explode(add_bias(features))","export","exported.","extend","extract_feature(feature)","extract_weight(feature)","featur","feature,","feature;","field","file","find","finishes,","flush","follows:","forget","format","foundat","function","grant","hadoop","hadoop.","hadoop_common_home=${hadoop_home}","hadoop_conf_dir=${hadoop_home}/etc/hadoop/","hadoop_home=/opt/hadoop","have","hdf","here","hive","hive,","hive.","hivemal","however,","id","identifi","if(sigmoid(sum(t.valu","import","incub","incubator.","index","input","int,","itself","ivy.xml","java.jar","jdbc:mysql://${mysql_host}/a9a","join","label,","languag","later","learn","left","limit","line","list","locat","location:hdfs://dm01:9000/user/hive/warehouse/a9a.db/a9a_model1_tsv","location:hdfs://dm01:9000/user/hive/warehouse/a9a.db/a9atest_exploded_tsv,","logist","lookup","m","m.featur","m.feature)","m.weight))","master","model","mysql","mysql.","mysql>",
"mysql_host=dm01","need","node","onlin","online/r","online/realtim","outer","packag","particular","password","patch.","predict","prediction.","prepar","prerequisit","privileg","privileges;","prob","prob,","probabl","process","process;","provid","put","query.","rdbm","read","real","recommend","regress","relat","return","row","rowid","rowid,","rowids.","run","scheme","sec)","select","server","set","shown","sigmoid","sigmoid(sum(m.weight))","sigmoid(sum(t.valu","sigmoid(x","sigmoid;","similar","simpli","slave","so,","softwar","sponsor","sql","sqoop","sqoop.","step)","store","successfulli","support","t","t.rowid","tabl","table,","tables.","target","task.","termin","test","textfil","then,","time","transact","tsv","undergo","uniqu","us","user","usernam","v2.6.0.","valu","view","way","weight","x));","|"],"tips/ensemble_learning.html":["(","(asf),","(label,feature,weight)","(label,feature,weight,covar)","(select","(t.featur","(t.rowid",")","*","/home/myui/tmp/defin","/home/myui/tmp/hivemall
.jar;","0.8474830954169797","0.8482344102178813","0.8494866015527173","0.8499874780866516","0.850488354620586","1;",":","=","==","[case1]","[case2]","accuraci","actual","actual,","add","algorithm","all.hive;","apach","argmin_kld(feature,","arow","better","broth","case","cast(featur","clean","cnt","cook","count(1)","count(1)/3993","covar)","creat","cw","default","delet","drop","effort","ensembl","ensemble(model)","ensemble(prediction)","ensemble/mix","evalu","exampl","explain","feature,","feature;","foundat","group","head","hive.exec.parallel.thread.number=8;","hive.exec.parallel=false;","hive.exec.parallel=true;","hivemal","hivemall.two","incub","incubator.","int)","jar","join","label","label)","label,","later","learn","learning.","left","let'","m","m.col0","m.col1","m.feature)","m.label","m.label,","mani","mapred.reduce.tasks=","mapred.reduce.tasks=4;","maxrow(cnt,","maxrow(score,","model","news20mc_arow_predict1","news20mc_cw_predict1","news20mc_ensemble_model1","news20mc_ensemble
_model1;","news20mc_ensemble_predict1","news20mc_ensemble_predict1;","news20mc_ensemble_submit1","news20mc_ensemble_submit1;","news20mc_pred_ensemble_predict1","news20mc_pred_ensemble_submit1","news20mc_scw2_predict1","news20mc_test","news20mc_test_explod","news20mc_train_x3","one?","outer","pd","pd.label","pd.rowid);","predict","predicted;","prepar","replac","reset","rowid","rowid,","run","score","score,","scw2","select","set","softwar","sourc","spoil","sponsor","stabl","sum(m.weight","t","t.label","t.rowid,","t.value)","t1","t2","t2;","t3;","tabl","train","train_multiclass_arow(add_bias(features),label)","train_multiclass_cw(add_bias(features),label)","train_multiclass_scw(add_bias(features),label)","udf","undergo","unfortunately,","union","v0.1","v0.2","verifi","view","voted_avg(weight)","weight"],"tips/mixserver.html":["\"","#","(3","(asf),","(feature,weight)","(mix","(netty,jsr305)","(select","(w/","(w/o",")","./run_mixserv.sh","0.844835019263103","0.8678096499719774","11212","
32","5","abov","access","accuraci","ad","apach","assum","asynchron","better","bin/run_mixserv.sh","block","brief","cast(voted_avg(weight)","caution:","certain","classifiers.","cluster","commun","configur","contain","converg","creat","current","dataset.","default","dependencies.jar","design","detail","due","effect","effici","effort","enabl","enough","exampl","experience,","explain","explan","fast","faster","feature,","feature;","file","find","first,","float)","follow","follows:","foundat","furthermore,","gbe","group","hadoop","handl","hive.","hivemal","hivemall.","horizont","host01,","host01,host02,host03\")","host03","host03.","i/o.","improv","incub","incubator.","instal","installation.","intern","jar","kdd10a_pa1_model1","kdd10a_train_x3","kdd2010;","kdd2010a","larg","later","make","minimum","mix","mix\"","mix)","mix).","mixing.","mixserv.jar","mixserver.java","model","multipl","neglig","networking.","node","nodes.","nodes:","non","normal","now,","option","options.","overhead","pa1
","page,","perform","port","port\"","predict","prerequisit","protocol","put","query.","recommend","requir","run","run_mixserv.sh.","scalabl","see","seen","select","server","server(s)","server)","servers.","set","simpl","size","size).","slide.","softwar","sponsor","standard","sure","t","tabl","target/hivemal","though.","through","throughput","thu","time","train","train_pa1(add_bias(features),label,\"","undergo","us","v0.3","weight","worker"],"tips/emr.html":["\"","\",\"","\"hive","\"hivemal","\"instal","\"instance.ismaster=true,s3://${s3bucket}/emr/conf/emr_hivemall_bootstrap.sh\"","\"instance.ismaster=true,s3://mybucket/emr/conf/emr_hivemall_bootstrap.sh\"","${s3bucket}/datasets/news20b/[train|test].","${s3bucket}/emr/conf","${s3bucket}/emr/log","${s3bucket}/emr/output","'\\n'","'\\t'","'s3://${s3bucket}/emr/outputs/news20b_arow_model1';","'s3n://${s3bucket}/datasets/news20b/test';","'s3n://${s3bucket}/datasets/news20b/train';","(","(arow)","(asf),","(emr).http://docs.aws.amazon.com
/elasticmapreduce/latest/developerguide/emr","(feature,weight)","(rowid,","(select","(t.featur","(t.rowid",")","*","*)","./elast","./tmp/defin","./tmp/hivemall.jar;","0.0","0.175","0.35","0.7","0.9659727782225781","1","100","1000,","1a","2","3","3.0.0\".","8","=","==",">","\\","action","actions/configur","actions/instal","actions/run","actual","actual,","adapt","add","aliv","all.hive;","amazon","ami","amplify(3,","ap","apach","arg","array","avail","befor","best","bid","bootstrap","both","c,fs.s3n.multipart.uploads.enable=true,","c,fs.s3n.multipart.uploads.split.size=67108864\"","case","cast(rand(47)","cast(rand(49)","cast(rand(50)","cast(split(feature,\":\")[0]","cast(split(feature,\":\")[1]","cast(voted_avg(weight)","cheap","clean","cli","client","cluster","cluster\"","collect","core","core/task","count","count(1)/4996","creat","data","databas","debug","default","delimit","drop","e.g.,","effort","elast","emr","emr_hivemall_bootstrap.sh","enabl","end","evalu","exist","explode(add_bi
as(features))","extern","featur","feature,","feature;","features)","field","float","float)","follows.","follows:","format","foundat","ganglia","ganglia\"","group","gui","hadoop","hadoop,","hive","hive.html","hivemal","hivevar:s3bucket=your_bucket_name;","i'm","incub","incubator.","input","insert","instanc","instead","int)","int),","int);","int,","interact","item","jar","job","job,","join","label","label,","larg","later","latest","launch","learn","left","line","locat","log","lunch","m","m,mapred.child.java.opts=","m,mapred.tasktracker.map.tasks.maximum=7,","m,mapred.tasktracker.reduce.tasks.maximum=2,","m.feature)","m1.larg","m1.medium","m1.xlarg","mapred.max.split.size=67108864;","mapreduc","master","mode.","money.","name","news20;","news20b_arow_model1","news20b_arow_model1;","news20b_arow_predict1","news20b_arow_predict1;","news20b_arow_submit1","news20b_arow_submit1;","news20b_test","news20b_test_explod","news20b_train","news20b_train;","news20b_train_x3","northeast","old","optio
nally,","or,","outer","output","overwrit","pd","pd.label","pd.rowid);","predict","predicted;","prepar","prerequisit","price","put","rand_amplify(3,","recommend","regular","replac","row","rowid","rowid,","run","s3,","s3://elasticmapreduce/bootstrap","s3://mybucket/emr/log","s3n://${s3bucket}/emr/log","save","select","set","setup\"","site.xml","site=s3://${s3bucket}/emr/conf/h","size","softwar","sourc","specifi","split","sponsor","spot","store","string,","sum(m.weight","t","t.label","t.rowid,","t.rowid;","t.value)","tabl","task","termin","test","textfil","then,","through","tip","total_weight,","train","train_arow(add_bias(features),label)","tsv","type","undergo","uri","us","user","usual","valu","vector","version","view","way","weight","wizard.","work","xmx1536m,","yarn","yarn.","zone"],"tips/general_tips.html":["(asf),","apach","effort","foundat","gener","hive/hadoop","hivemal","incub","incubator.","softwar","sponsor","tip","undergo"],"tips/rowid.html":["${sequence_number}","${task_id
}","'","'')","',","()","(asf),","*","..;","a9atest;","ad","also,","anoth","apach","becom","creat","dataset","each","effort","execut","foundat","function","gener","hivemal","however,","incub","incubator.","larg","later.","long","option","over","provid","queri","rc.1","reducer.","regexp_replace(reflect('java.util.uuid','randomuuid'),","return","row","row_number()","row_number().","rowid","rowid()","rowid,","rownum()","scheme","select","singl","slow","softwar","sponsor","sprintf(`%d%04d`,sequence,taskid)","sql","string","support","tabl","undergo","uniqu","us","v0.2","v0.5","xxx","xxx;"],"tips/hadoop_tuning.html":["\"","(1","(2^24","(asf),","(assum","(e.g.,","(float)","(heuristics)","(iff","(mr","(short)","(use","(yarn)","*","0.5","0.6)","1.2","1024mb","161mb","2","2048","2048mb","2^24","2^25","2^25)","4","820","820mb","=","abov","amplify()).","apach","avail","byte","calculated)","case.","chang","compon","configur","consum","covari","default)","default.","dens","densemodel\"","effort","
engin","estim","execut","feature_dimens","follow","follows:","formula","foundat","guid","hadoop","hash","here","hive","hive.execution.engine=mr;","hive.execution.engine=tez;","hivemal","hivemall.","http://hadoopbook.com/","http://www.slideshare.net/cloudera/mr","import","incub","incubator.","io.sort.mb=1024","larg","make","mapper","mapper.","mapred.job.reduce.input.buffer.percent=0.2","mapred.map.child.java.opts=\"","mapred.reduce.child.java.opts=\"","mapred.reduce.shuffle.input.buffer.percent=0.6","mapreduc","mapreduce.framework.name=yarn","mapreduce.framework.name=yarn;","mapreduce.map.java.opt","mapreduce.map.java.opts=\"","mapreduce.reduce.input.buffer.percent)","mapreduce.reduce.input.buffer.percent=0.2","mapreduce.reduce.java.opt","mapreduce.reduce.java.opts=\"","mapreduce.reduce.shuffle.input.buffer.percent=0.6","mapreduce.task.io.sort.mb","mapreduce.task.io.sort.mb=1024","max","mb","memori","model","model,","model.","moreover,","note:","old","option","perf","plain","pleas","
possible.","predict","prerequisit","queries.","rand_amplify()).","recommend","reduc","reducer.","refer","represent","run","set","setting:","side","so,","softwar","spaceefficientdensemodel","spaces.","spars","sponsor","table)","tez","tez;","train","tune","tuning:","undergo","us","used,","v1)","xmx2048m","xx:+printgcdetails\"","≈"],"troubleshooting/":["(asf),","apach","effort","foundat","hivemal","incub","incubator.","softwar","sponsor","troubleshoot","undergo"],"troubleshooting/oom.html":["(a","(asf),","(mapred.child.java.opts/mapred.map.child.java.opts)","amplify(),","apach","befor","caus","certain","cloud","default","due","dure","each","effort","error","exampl","first","fit","foundat","hadoop","happen","hivemal","hivemall.","increases)","incub","incubator.","input","instead.","larg","larger","mapper","mapred.max.split.s","mapred.max.split.size=67108864;","mapred.reduce.task","mapred.reduce.tasks=64;","memory.","merg","middl","model","number","oom","outofmemoryerror","parameters."
,"possible.","rand_amplify()","reduc","revis","set","setting,","shuffle/merg","shuffle/reduc","size","smaller","softwar","split","sponsor","step,","still","that,","then,","train","trainer","training.","tri","undergo","us","valu"],"troubleshooting/mapjoin_task_error.html":["(asf),","0.11.0,","apach","auto","befor","complex","convers","default.","disabl","effort","enabl","error:","except","execut","follows.","foundat","gener","hive","hive.auto.convert.join","hive.auto.convert.join=false;","hivemal","incub","incubator.","join","map","object","object.","queri","semanticexcept","semanticexception,","serial","set","softwar","sometim","sponsor","task","throw","undergo","us","views,","workaround"],"troubleshooting/asterisk.html":["(asf),","4181","alia","alias,","apach","argument","asterisk","effort","explicitly.","fix","foundat","hive","hivemal","incub","incubator.","name","part","possibl","release.","see","softwar","specifi","sponsor","tabl","udtf","undergo","us","v0.12","without","work","
workaround","working."],"troubleshooting/num_mappers.html":["#","(asf),","(i.e.,","2.x","apach","block","configur","control","default","default.","effort","foundat","give","hadoop","hdfs)","hive.input.format","hive.input.format.","hive.input.format=org.apache.hadoop.hive.ql.io.hiveinputformat;","hive.tez.input.format;","hive.tez.input.format=org.apache.hadoop.hive.ql.io.hiveinputformat","hivemal","incub","incubator.","input","less","mapper","mapreduce.job.maps=128;","maximum","note","number","org.apache.hadoop.hive.ql.io.combinehiveinputformat.","org.apache.hadoop.hive.ql.io.hiveinputformat","set","setting:","size","softwar","split","sponsor","table.","tez","tri","undergo","us","via"],"troubleshooting/mapjoin_classcastex.html":["(asf),","1.3.0.","[workaround]","apach","array","caus","caution:","classcastexcept","column(s).","contain","detail.","effort","fix","follows:","foundat","hive","hive.mapjoin.optimized.hasht","hive.mapjoin.optimized.hashtable=false;","hive_11051","hivemal","i
ncub","incubator.","join","map","refer","serial","set","side","softwar","sponsor","tabl","tez","tri","undergo"],"misc/generic_funcs.html":["\"456\",","\"a\",\"b\",\"c\"","\"age\"","\"age\",","\"apple\"","\"city\",","\"eight\",","\"five\",","\"four\",","\"japan\",","\"john\",","\"makoto\"","\"name\"","\"nine\",","\"one\"","\"one\",","\"osaka\")","\"person\"","\"seven\",","\"six\")","\"six\",","\"ten\"),","\"three\")","\"three\",","\"tokyo\")","\"tokyo\"),","\"two\"","\"two\",","<=","'","');","'[0.1,1.1,2.2]',","'age')","'apple'","'array'","'array')","'array>'),","'banana'","'candy'","'donut'","'egg'","'map')","'price","'struct',","'ti,si,i,bi'","'{","(","(1.0","(alphabetically)","(asf),","(banana","(banana,","(default),","(matrix0.#cols,","(natur","(natural)","(no","(or","(revers","(reverse)","(select","(tail","(top","(株)トンドルiii",")","),","),'array>'),","),'array>');",");","*)","+",",","..)","...","...)","/","0)","0,","0.0')","0.0);","0.0,","0.0f|1.0f","0.0f|1.0f,","04",
"1","1)","1),","1,","1,2,3","1,9]","1.0","1.5","10","10,","100'),","100)","100),","1|1","2","2'),","2)","2),","2);","2,","2,1,3,10]","2,10));","2,4),","2.0","20","2018","21","22","23","3","3)","3),","3);","3,","3.0","31)","31),","3600,","37","4","4));","4,","4.0","4]","5","5.0","5]","6","6,","6.0","7","789,","9223372036854775808]",":","=",">","[","[\"aaa\"]","[\"eight\",\"nine\",\"ten\"]","[\"eight\",\"nine\"]","[\"machine\",\"machin","[\"six\",\"seven\",\"eight\",\"nine\",\"ten\"]","[\"six\",\"seven\",\"eight\"]","[\"zero\",\"one\"]","[,","[0.1,1.1,2.2]","[1,2,3,4,5,6,7,8]","[1,2,3,4]","[1,2,3,5]","[1,2,3]","[1,2]","[14,","[2,","[2,3,4]","[2.0,4.0,6.0]","[3,4]","[3.0,5.0,7.0]","[3]","[5,","[apple,","[donut,","[egg,","[{\"city\":\"tokyo\"},{\"city\":\"osaka\"}]","[{\"country\":\"japan\",\"city\":\"tokyo\"},{\"country\":\"japan\",\"city\":\"osaka\"}]","[{\"key\":\"one\",\"value\":1},{\"key\":\"two\",\"value\":2}]","aa+=kaim|wtt!+wbgaa","aaaaaaaaaaaaaaaabbbbccc","accord","add","aggreg
","apach","append","apple]","argument","arr","arr,","array","array(","array(\"four\",","array(\"one\",","array(\"zero\",","array('age')","array('city')","array('name',","array('person')","array('ti','si','i','bi')","array()","array(2,","array(314,007))","array(314,007)),","array(true,","array,","array2,","array>,","array_append(array","array_append(array('a','b'),'c');","array_append(array(1,2),3);","array_avg(array)","array_concat(array","array_concat(array(1),array(2,3));","array_flatten(array(array(1,2,3),array(4,5),array(6,7,8)));","array_flatten(array>)","array_intersect(array","array_intersect(array(1,3,4),array(2,3,4),array(3,5));","array_remove(array","array_remove(array(\"aaa\",\"bbb\"),\"bbb\");","array_remove(array(1,null,3),array(null));","array_slice(","array_slice(array","array_slice(array(1,2,3,4,5,6),","array_sum(array)","array_to_str(array","array_to_str(array(1,2,3),'","array_union(array(1,2),array(1,2));","array_union(array(1,2),array(2,3),array(2,5));","array_uni
on(array1,","array|const","assert(boolean","assert(pric","averag","b1,","b2,","banana),","base91","base91(binari","base91(deflate('aaaaaaaaaaaaaaaabbbbccc'));","bin)","binari","bits_collect(int|long","bits_or(array","bitset","bitset)","boolean","c","c1,","c2,","candy,","candy]","cast","check","cmpkey,","column","columnnames])","compress","compresseddata)","compressionlevel])","concaten","condit","condition)","condition,","conditional_emit(","conditional_emit(array","conditions,","const","contain","convert","convert_label(const","count(1)","data","date_add(current_date(),value),valu","datetim","decompress","default_valu","deflate(text","deflater.","desc","describ","dimens","distcache_gets(filepath,","distribut","donut]","dot","dot(matrix0.t,","doubl","dunut]","duplic","each","each_top_k(int","effort","egg","egg)]","egg,","elem)","element","element_at(array","element_at(array(1,2,3,4),","element_at(array(1,2,3,4),0);","elimin","emit","end","end)","end.","english","englishtext","entri"
,"entry.","errmsg)","error","exist","exp(","expect","explicitli","explode(array(1.0,2.0,3.0,4.0,5.0,6.0,7.0))","fails.","false),","false,","featur","features)","filter","filteringkeys)","first","first_element(array('a','b','c'));","first_element(array());","first_element(x)","five","flattened.","float)","float_array(ndims)","form","form.","form])","foundat","four","from_json(","from_json(str","from_json(to_json(","fun!',","fun\",\"fun\"]","func(boolean","func(str","function","functions.","gener","generate_ser","generate_series(1,3))","generate_series(2,4);","generate_series(4,3);","generate_series(5,1,","generate_series(c1,","generate_series(const","give","given","gram","group,","have","hive","hiveexcept","hivemal","id","importance,","incub","incubator.","index","indexes)","inflat","inflate(binari","inflate(unbase91(base91(deflate('aaaaaaaaaaaaaaaabbbbccc'))));","input","input;","int","intersect","int|bigint","int|const","int|text","int|text|array","invalid","ip_addr","ip_addr)","ip
_addr,","ipaddr","is\",\"is\",\"i","is_stopword(str","itself","jobconf","jobconf_gets()","jobid()","json","jsonstring,","k","k)","k,","key","key)","key),","key,","keys)","k|const","l2","l2_norm(doubl","last","last_element(array('a','b','c'));","last_element(x)","learn","learning\",\"learning\",\"learn","length","length])","less","level","list","list,","logic","long","long[]","machin","map","map('a',10,'b',20,'c',30)","map,","map_exclude_keys(map","map_exclude_keys(map(1,'one',2,'two',3,'three'),array(2,3));","map_get_sum(map","map_include_keys(map","map_include_keys(map(1,'one',2,'two',3,'three'),array(2,3));","map_index(a,","map_index(map(\"one\",1,\"two\",2),key)","map_key_values(map(\"one\",1,\"two\",2));","map_key_values(map)","map_tail_n(map","mapred.job.id","mapred.task.partit","mapreduc","maps.","map|value_typ","math","matrix","matrix0_row,","matrix1)","matrix1.#cols)","matrix1_row)","maxsiz","maxsize])","mean","merge_maps(m)","merge_maps(x)","met","minsiz","minsize,","more",
"move","moving_avg(numb","moving_avg(x,","msg)","n","n)","named_struct(\"country\",","named_struct(\"name\",","ndim","nfc","nfd,","nfkc,","nfkd","norm","normal","normalize_unicode('㈱㌧㌦ⅲ','nfkc');","normalize_unicode('ﾊﾝｶｸｶﾅ','nfkc');","normalize_unicode(str","note","null","null,","number","object","object.","offset","on","operation.","options])","order","order)","origin","original,","other","output","page","pairs.","parameters.","parsekey])","perform","pos)","posit","postgresql'","price","price,","primit","process","product.","product_id,","pseudo","queri","raise_error('found","raise_error()","rang","record')","regex])","relat","remov","replac","represent","retriev","return","return)","returntyp","reverse'),","reverseorder=false])","row","rowid()","rownum()","rownum,","saniti","see","select","select_k_best(array","sep=','])","sequenc","seri","series;","session.select","session_id,","sessionize(long","sessionize(time,","set","shape","sigmoid(x)","similar","singula
r","singularize(lower(\"apples\"));","singularize(str","slice","softwar","sort","sort_and_uniq_array(array(3,1,1,","sort_and_uniq_array(array)","specif","specifi","sperat","split","split_words(str","sponsor","sprintf(%d%04d,sequence,taskid)","src","src,","start","start,","step","step)","stock_pric","stopword","str","string","struct(\"123\",","subarray_endwith(array","subarray_endwith(array(1,2,3,4),","subarray_startwith(array","subarray_startwith(array(1,2,3,4),","subject])","sum","t","t1","t;","tail","take","target","target)","taskid()","text","th","three","thresholdinsec","throw","time","time,","timeinsec,","timeseri","tmp","tmp;","to_bits(array(1,2,3,128));","to_bits(int[]","to_json(","to_json(ani","to_map(key,","to_ordered_list(key)","to_ordered_list(key,","to_ordered_list(primit","to_ordered_list(value,","to_ordered_map(key,","to_string_array(array)","token","tokenize(str","tolowercase])","top","transform","transpose_and_dot(array","true)","true),","true,","try_cast(ani","try_c
ast(array(1.0,2.0,3.0),","try_cast(map('a',10,'b',20,'c',30),","two","type.","typename)","unbase91(string)","unbits(bits_or(to_bits(array(1,4)),to_bits(array(2,3))));","unbits(long[]","unbits(to_bits(array(1,4,2,3)));","undergo","union","up","us","uuid","valu","value)","value),","value,","values,","variou","vector","vector_add(array","vector_add(array(1.0,2.0,3.0),","vector_dot(array","vector_dot(array(1.0,2.0,3.0),2);","vector_dot(array(1.0,2.0,3.0),array(2.0,3.0,4.0));","weblog","whether","windowselect","windowsize)","word","word)","word_ngrams(array","word_ngrams(tokenize('machin","words,","x)","x))","x,","x1,","x2,","x_rank(key)","xi)","xxx","y)","{","{\"age\":31}","{\"city\":\"tokyo\"}","{\"col1\":\"123\",\"col2\":\"456\",\"col3\":789,\"col4\":[314,7]}","{\"country\":\"japan\",\"city\":\"tokyo\"}","{\"name\":\"john\",\"age\":31}","{\"name\":\"makoto\",\"age\":37}","{\"ti\":\"123\",\"si\":\"456\",\"i\":789,\"bi\":[314,7]}","{10:\"apple\",4:\"candy\",3:\"banana\"}","{10:\"apple\"
,4:\"candy\"}","{10:\"apple\"}","{1:\"one\"}","{2:\"two\",3:\"three\"}","{3:\"banana\",4:\"candy\",10:\"apple\"}","{3:\"banana\",4:\"candy\"}","{3:\"banana\"}","{sequence_number}","{task_id}","{}","|","}","}',","ハンカクカナ"],"misc/topk.html":["${k},","'","(","(asf),","(e.g.,","(int","(partit","(rank,",")","),","*","..","..,","...,","0","0,","0.2","0.4","0.4383084177970886","0.43862903118133545","0.4398220181465149","0.44030147790908813","0.4408798813819885","0.44112563133239746","0.4415401816368103","0.44166821241378784","0.4422193765640259","0.4424300789833069","0.44254064559936523","0.44283604621887207","0.4429032802581787","0.4432108402252197","0.44323229789733887","0.4435907006263733","0.4442034363746643","0.44569307565689087","0.4460843801498413","0.4464914798736572","0.45163780450820923","0.45244503021240234","0.4525672197341919","0.4527127146720886","0.45314133167266846","0.6","0.8","0.8205751180648804","0.822281539440155","0.8241575956344604","0.8255619406700134","0.
8271955251693726","0.8301891088485718","0.8328862190246582","0.8340602517127991","0.8344510793685913","0.8390793800354004","0.8438876867294312","0.8439178466796875","0.8463355302810669","0.8467264771461487","0.8499397039413452","0.8516314029693604","0.8562054634094238","0.856602132320404","0.8585299849510193","0.8594650626182556","0.9480557441711426","0.9493276476860046","0.9531533122062683","0.9536819458007812","0.9761330485343933","1","1,","10","10')","10').","10)","10,","100),","10143","10242","10514","10922","10;","11073","11719","12","14073","15173","17218","17582","17782","18541","18556","19468","2","2,","20400","21009","21115","21125","21595","21657","22006","22853","23150","23386","24289","24413","25","2513","25141","25364","25977","26220","27121","3","34","3786","4","5","50","6","60","6598","7","70","7041","7326","7503","8","80","8018","8477","8697","9","90","900","9008","943","9881","=","`each_top_k`","accept","addit","aggreg","altern","alway","amount","angular_similarity(
features1,","angular_similarity(t2.features,","apach","appli","approach","arg1,","arg2,","argn)","argn).","argn.","argument","as:","asc,","assum","avoid","b","base_id","base_id,","behav","benef","by)","case","cases.","caution","cautioneach_top_k","cautionin","certain","class","class,","claus","click","clicks,","cluster","collect_list(value)","column","compar","comparison.","complex","comput","consid","consist","cost","creat","cross","crucial","data.","dense_rank","desc)","desc;","differ","distribut","doubl","duplic","each","each_top_k","each_top_k(","each_top_k(${k},","each_top_k(int","each_top_k,","each_top_k.","effici","efficiently.","effort","element","ensur","environ","explicit","explode(m)","extens","fast","featur","features1,","features2),","features2,","follow","follows:","foundat","function","get","group","group,","group.","hanld","help","hive","hive.","hivemal","hivevar:k=","hivevar:k=10;","hivevar:k=5;","http://stackoverflow.com/questions/9390698/h","id","id)","id,","id1",
"id1,","id2,","if(valu","incub","incubator.","input","instead","instead.","interact","involv","item","join","k","k,","k.","key","key,","larg","large.","later","later.","left","length","less","limit","list","long","m","mandatori","mani","map.","mapper","massiv","method","mytabl","n","neighbor_id","neighbor_id,","note","noteclust","null","null,","null.","number","o(nm).","or,","order","other_id,","outer","output","over","page","parallel","particularli","process","pseudo","queri","query/32559050#32559050","rand(31)","rank","rank()","rank,","rank/distribut","record","reduc","relat","repres","requir","result","result:","return","revers","rnd","rnd,","run","s01","s02","s03","s04","s05","s05;","same","scheme","score","score,","select","semant","set","shuffling,","side","signatur","similar","similarity,","similarity/dist","similarli","slightli","softwar","sort","sponsor","sql","sql'","standard","student","student)","student,","support","suppos","synonym","t","t01","t02","t03","t04","t05","t
1","t1.featur","t1.features),","t1.i","t1.id","t1.id,","t1;","t2","t2.featur","t2.id","t2.id,","t;","tabl","tail","take","test","test_hivemal","test_rnd","that.","then,","third","timestamp","to_ordered_list","to_ordered_list(value,","to_ordered_map","to_ordered_map(key,","top","top/tail","topk","train_hivemal","type","udtf","undergo","union","uniqu","us","usag","user","util","v0.3.2","valu","value)","value,","value.","variabl","veri","view","way","whre","window","x","y","y)"],"misc/tokenizer.html":["\"https://raw.githubusercontent.com/atilika/kuromoji/909fd6b32bf4e9dc86b7599de5c9b50ca8f004a1/kuromoji","\"kuromoji\"","\"normal\",","\"分かち書き\"","\"日本経済新聞,日本","\"関西国際空港,関西","(a","(asf),","));","/path/to/defin","/path/to/hivemal","0,","2,","=","[\"kuromoji\",\"使う\",\"分かち書き\",\"テスト\",\"第\",\"二\",\"引数\",\"normal\",\"search\",\"extended\",\"指定\",\"デフォルト\",\"normal\",\"モード\"]","[\"を\",\"使う\",\"た\
",\"の\",\"テスト\",\"です\"]","[\"日本\",\"経済\",\"新聞\",\"関西\",\"国際\",\"空港\"]","[smartcn,","add","addition,","additional.hive;","all,","allow","amazon","apach","apach,","apis,","argument","array","array(","array(\"kuromoji\"),","array(\"名詞","basic","boolean","chines","const","core/src/test/resources/userdict.txt\");","custom","ddl","default","defin","dependencies.jar.","dependencies.jar;","detail","dictionari","each","effort","enabl","english","example,","explicitli","extern","false)","fifth","file","file,","first","follow","follows.","follows:","format:","foundat","fourth","hivemal","ictcla,","ignor","includ","incub","incubator.","indic","input,","issu","japanes","japaneseanalyz","jar","java,","javadoc","kuromoji","kuromoji'","kuromoji.","larg","later.","line,","list","mode","modul","module.","moreover,","need","nlp","non","note","notetokenize_ja","noun","null","null,","offici","option","pass","pleas","provid","queri","rc.1","refer","regist","respect
","s3:","select","signatur","simpl","simpli","smartchineseanalyz","smartchineseanalyzer.","softwar","somewher","sourc","sponsor","stop","stoptags,","stopwords)","stopwords,","string","support","syntax:","tag):","tags.","text","third","token","tokenize(text","tokenize_cn(\"smartcn为apache2.0协议的开源中文分词系统，java语言编写，修改的中科院计算所ictclas分词系统。\");","tokenize_cn(str","tokenize_ja(\"kuromojiを使った分かち書きのテストです。\",","tokenize_ja(\"kuromojiを使った分かち書きのテストです。第二引数にはnormal/search/extendedを指定できます。デフォルトではnormalモードです。\");","tokenize_ja(\"日本経済新聞＆関西国際空港\",","tokenize_ja(text","tolowercas","udf","undergo","url","us","usag","user","userdict","userdict)","userdicturl","v0.4.1,","v0.5","well.","word","word)","xxx","クウコウ,テスト名詞\"","ケイザイ","コクサイ","シンブン,カスタム名詞\",",
"一般\"));","中文,","中科院,","为,","修改,","分词,","协议,","国際","开源,","所,","新聞,ニホン","的,","空港,カンサイ","系统,","系统]","経済","编写,","计算,","语言,"],"misc/approx.html":["'","(asf),","14')","15","15')","16')","24')","25","25')","38033066","4')","45051015","45567770","45614484","45831359","45832280","45840617","49332600","6","6')","[","[4,32]","[4,sp]","]","`p`","`sp`","accur","actual","actual,","aggreg","algorithm","apach","approx_count_distinct","approx_count_distinct(rowid)","approx_count_distinct(rowid,","approx_count_distinct.","approxim","better","cardin","caus","consumpt","control","count","count(distinct","data","defaul","default","default_p","distinct","effici","effort","element","error","exhaust","expect","expression),","find","follows:","foundat","function","gener","help","help')","help]","hivemal","hllevalu","huge","hyperloglog","hyperloglog++","implement","incub","incubator.","inform","input","input.","large.","le
ss","memori","more","multiset.","normal","notep","number","option","p","p14","p14,","p15","p15,","p15_sp15","p16","p16,","p24","p24,","p25","p25,","p4","p4,","p6_sp6","p6_sp6,","p=15","paper.","perform","precis","rang","regist","rowid)","select","set.","show","signatur","size","softwar","sp","spars","sponsor","tradeoff","train;","undergo","us","usag","usage:","valu","value)","well.","work"],"ft_engineering/scaling.html":["\":\",","\"age\"","\"balance\"","\"campaign\"","\"day\"","\"duration\"","\"pdays\"","\"previous\"","${max_target})","${mean_target},","${min_target},","${stddev_target})","'banana:0.5'))","(","(asf),","(t1.featur",")","),","...","0,","0.51940954","0.51940954;","0.6278076335455348","1","1,","2","3","3.566241460963296","3.566241460963296;","3;","7.899578","7.899578;",";","=","[\"apple:0.6666667\",\"banana:0.33333334\"]","[\"apple:0.8944272\",\"banana:0.4472136\"]","[\"reflectance:0.5252967\",\"specific_heat:0.19863537\",\"weight:0.0\"]","[\"reflectance:0.5950446\",\"
specific_heat:0.09166764\",\"weight:0.052084323\"]","[\"reflectance:0.6797837\",\"specific_heat:0.12567581\",\"weight:0.13255163\"]","[\"weight:69.613\",\"specific_heat:129.07\",\"reflectance:52.111\"]","[\"weight:70.67\",\"specific_heat:128.161\",\"reflectance:52.446\"]","[\"weight:72.303\",\"specific_heat:128.45\",\"reflectance:52.853\"]","ag","apach","appli","avg(target),","avg(value)","balanc","befor","both","campaign","collect_list(","collect_list(feature)","complex","concat(feature,","creat","data.","day","durat","e2006tfidf_test","e2006tfidf_train","e2006tfidf_train;","e2006tfidf_train_sc","each","effort","ensur","explod","explode(features)","extract_feature(feature)","extract_weight(feature)","fals","featur","feature(","feature(feature,","feature,","follow","follows:","foundat","fv","group","hivemal","hivevar:max_target=","hivevar:mean_target=","hivevar:min_target=","hivevar:stddev_target=0.6278076335455348;","http://en.wikipedia.org/wiki/feature_scaling#resc","http://en.wik
ipedia.org/wiki/standard_scor","id,","if(pday","if(t1.minmax,rescale(t1.value,","incub","incubator.","join","l1","l1/l2","l1_normalize(array('apple:1.0',","l2","l2_normalize(array('apple:1.0',","later","length:","limit","max","max(target)","max(value)","mean,","min","min(target),","min(value)","min,","minmax","minmax)","minmax,","more","norm","norm_fv","normal","pdays)","previou","quant","quantative_norm","quantative_stat","replac","rescale(t1.value,","rescale(target,","rowid","rowid,","scale","select","set","softwar","sponsor","stat","stddev","stddev,","stddev_pop(target)","stddev_pop(value)","t1","t1.feature,","t1.id","t1.id,","t2","t2.feature)","t2.max)","t2.max),zscore(t1.value,","t2.mean,","t2.min,","t2.stddev)","t2.stddev))","t;","tabl","target","target,","tip","train","train_norm","true","undergo","union","unit","us","v0.3.2","valu","vector","view","zscore","zscore(t1.value,","zscore(target,","zscore)"],"ft_engineering/hashing.html":["\"movieid#2331\"));","(2^24).","(2^24)]",
"(a.k.a.","(asf),","(it'","(or","+1'd","0","1","1.","10');","16777216","16777217","2","2746618","2;","3');","3874068","4063537","9566153","[","[\"11293631\",\"3322224\",\"4331412\"]","[\"11293631:0.1\",\"3322224:0.2\",\"4331412:0.3\"]","[\"1803454\",\"6630176\"]","[\"1828616\",\"6238429\"]","[\"1828616:3.3\",\"6238429:4.999\",\"6238429\"]","[\"4063537\",\"8459207\"]","[\"4063537:1.0\",\"4063537\",\"8459207:2.0\"]","[\"7\",\"1\"]","[\"userid#4505\",\"movieid#2331\"]","[\"userid#5689\",\"movieid#3072\"]","[,","[default:","]","alway","apach","appli","array","bia","clause.","consid","const","control","default","describ","differ","effort","element","examples.","extend","featur","feature_hash","feature_hashing('aaa');","feature_hashing('aaa','","feature_hashing(array","feature_hashing(array(\"userid#4505:3.3\",\"movieid#2331:4.999\",","feature_hashing(array('1','2','3'));","feature_hashing(array('1:0.1','2:0.2','3:0.3'));","feature_hashing(array('aaa','bbb'));","feature_hashing(array('aaa
','bbb'),'","feature_hashing(array('aaa:1.0','aaa','bbb:2.0'));","feature_hashing(array(1,2,3));","feature_hashing(features),","feature_hashing(null,'","features)","features,","features.","find","follow","foundat","function","functions.","hash","help","help');","help]","hivemal","hivevar:num_features=16777216;","hivevar:num_features=1;","incub","incubator.","int","limit","mhash","mhash('aaa');","mhash('aaa',${num_features});","mhash('aaa:2.0');","mhash(array('aaa','bbb'));","mhash(array('bbb','aaa'));","mhash(str","mhash;","murmurhash3","never","note:","noteth","num_featur","number","number).","option.","options])","order","reserv","return","scalar","select","sentitive.","set","show","softwar","sponsor","start","string","support","system","through","training_fm","trick)","undergo","usage:","valu","value.","values.","vector","word)"],"ft_engineering/selection.html":["#features)","${k})","(","(#classes,","(1,","(\\sigma_{1}","(asf),","(chi2)","(n_class,","(n_classes,","(snr)","(x.#col
s,",")","),",");","+","/","1)","2)","3)","=","[udaf]","[udf]","\\mu_{2}|","\\sigma_{2})∣μ1−μ2∣/(σ1+σ2),","aggreg","algorithm","apach","appli","array","array)","array,","array>","array>,","array_avg(y)","array_sum(x)","articl","base","best","between","binar","binari","both","chi","chi2","chi2(observed::array>,","chi2(r.observed,","class","class_prob","classif","classification.","clearly,","col","construction.","creat","criterion","cross","defin","details.","deviat","dot","dot(class_prob.t,","dot(x.t,","each","effort","element","even","events.","expect","expected::array>)::struct,","featur","feature_count)","feature_count,","features,","foundat","function","hivemal","hivevar:k=2;","hot","import","importance_list","importance_list::array,","improv","incub","incubator.","independ","input","int","join","k","k::int)::array","kkk,","kkk.","know","l","l.expected)","label","larger","later.","list","mathemat","matrix","mean","metric,","model","n_c
lass","n_featur","n_features)","nois","note:","number","observ","observed,","omit","on","output","p","predict","prediction.","problems.","process","product","r","r.v.chi2,","r;","rank","ratio","rc.1","redund","refer","relev","result","row","score","select","select_k_best(l.x,","select_k_best(x,","select_k_best(x::array,","selection.","set","shape","shorten","signal","signatur","snr","snr(x,","snr(x::array,","snr,","snr;","softwar","sponsor","squar","standard","stat","statist","statistics,","struct,","subset","support","tabl","target","techniqu","test","time,","top","train","transpose_and_dot(class_prob,","transpose_and_dot(x::array,","transpose_and_dot(y,","two","undergo","univari","us","usag","v","v0.5","valu","variabl","vector","vector,","x","x)","y","y)","y.#cols)","y::array)::array","y::array)::array>","μk\\mu_{k}μk","σk\\sigma_{k}σk","χ2\\chi^2χ2","∣μ1−μ2∣/(σ1+σ2)|\\mu_{1}"],"ft_engineering/binning.html":["'female'),","'female');","'ge
nder'),","'male'),","(","('emma',","('ethan',","('isabella',","('jacob',","('mason',","('noah',","('sophia',","(asf),","(bin","(user",")","),",");","0","1","15","15,","2","20","20,","22","22,","3)","3))","35","35,","46","46,","55","55,","=","[\"name#emma\",\"gender#female\",\"age:0\"]","[\"name#ethan\",\"gender#male\",\"age:2\"]","[\"name#isabella\",\"gender#female\",\"age:1\"]","[\"name#jacob\",\"gender#male\",\"age:1\"]","[\"name#mason\",\"gender#male\",\"age:1\"]","[\"name#noah\",\"gender#male\",\"age:2\"]","[\"name#sophia\",\"gender#female\",\"age:2\"]","[auto_shrink:","[udaf]","[udf]","a.","ag","age,","age:int","apach","appli","array","array('age'),","array('name',","array_concat(","auto_shrink","auto_shrink])","b","b.","behavior","bin","bin:","bins.","bins;","boolean","build_bins(age,","build_bins(weight,","categor","categorical_features(","col","creat","cross","data","data.","defin","divid","duplic","effort","entry::","exception.","f=>except","false]","featur","feature_binnin
g(age,","feature_binning(features,","features:","few","first","follows:","foundat","function","gender","group","hivemal","id)","incub","incubator.","input","insert","int","int,","int|bigint|float|doubl","join","key:","later.","mani","map","map('age',","map>","method","name","name,","not,","note:","notether","num_of_bin","num_of_bins:","num_of_bins[,","number","output","possibl","pre","prepar","quantil","quantiles)","quantiles.","quantiles:","quantiles_map","quantiles_map)","quantiles_map)/(weight,","quantiles_map:","quantit","quantitative_features(","rc.1","repeat","repeated:","result","sampl","select","separ","serial","signatur","skip","softwar","sponsor","string","string,","support","t","t=>skip,","tabl","table)","throw","trasform","true,","undergo","usag","user","v0.5","val:","valu","values.","variabl","variation:","vector","weight","weight:"],"ft_engineering/pairing.html":["(asf),","apach","effort","featur","foundat","hivemal","incub","incubator.","pare","softwar","sponsor","und
ergo"],"ft_engineering/polynomial.html":["\"c:0.3\"),","(asf),",")","+","2);","3);","3,",">","[\"a:0.5\",\"a^2:0.25\",\"a^3:0.125\",\"b:0.2\",\"b^2:0.040000003\",\"b^3:0.008\"]","[\"a:0.5\",\"a^a:0.25\",\"a^a^a:0.125\",\"a^a^b:0.05\",\"a^b:0.1\",\"a^b^b:0.020000001\",\"b:0.2\",\"b^b:0.040000003\",\"b^b^b:0.008\"]","[\"a:0.5\",\"a^a:0.25\",\"a^a^a:0.125\",\"a^a^b:0.25\",\"a^a^c:0.075\",\"a^b:0.5\",\"a^b^b:0.5\",\"a^b^c:0.15\",\"a^c:0.15\",\"a^c^c:0.045\",\"b:1.0\",\"b^b:1.0\",\"b^b^b:1.0\",\"b^b^c:0.3\",\"b^c:0.3\",\"b^c^c:0.09\",\"c:0.3\",\"c^c:0.09\",\"c^c^c:0.027000003\"]","[\"a:0.5\",\"a^a:0.25\",\"a^a^a:0.125\",\"a^a^c:0.075\",\"a^c:0.15\",\"a^c^c:0.045\",\"b:1.0\",\"c:0.3\",\"c^c:0.09\",\"c^c^c:0.027000003\"]","[\"a:0.5\",\"a^a:0.25\",\"a^b:0.1\",\"b:0.2\",\"b^b:0.040000003\"]","[\"a:0.5\",\"a^b:0.1\",\"a^b^c:0.030000001\",\"a^c:0.15\",\"b:0.2\",\"b^c:0.060000002\",\"c:0.3\"]","[\"a:0.5\",\"a^b:0.1\",\"b:0.2\"]","[\"a:0.5\",\"a^b:0.5\",\"a^b^c:0.15\",\"a^c:0.15\",\"b:1.0\",\"b^
c:0.3\",\"c:0.3\"]","[\"a:0.5\",\"a^c:0.15\",\"b:1.0\",\"c:0.3\"]","[,","allow","apach","assum","becom","boolean","cautionpolynomi","combinations.","degre","easili","effort","elimin","false);","false,","featur","features,","features.","foundat","function","gener","hivemal","incub","incubator.","inf","inf/","input","int","interact","interactiononly=false,","large.","learn,","linear","model.","n","non","normal","note:","on","polynomi","polynomial_feature(array","polynomial_features(array(\"a:0.5\",\"b:0.2\"),","polynomial_features(array(\"a:0.5\",\"b:0.2\",\"c:0.3\"),","polynomial_features(array(\"a:0.5\",\"b:1.0\",","polynomial_features(array(\"a:0.5\",\"b:1.0\",\"c:0.3\"),","power","powered_features(array","powered_features(array(\"a:0.5\",\"b:0.2\"),","regression/classif","scikit","select","similar","softwar","sponsor","true);","true,","truncat","truncate=true]","truncate=true])","undergo","unnecessari","us","x**n"],"ft_engineering/ft_trans.html":["(asf),","apach","effort","featur"
,"foundat","hivemal","incub","incubator.","softwar","sponsor","transform","undergo"],"ft_engineering/vectorization.html":["(a","(asf),",")","*","...)","1","1.0","1.0\",\"poutcome#unknown\"]","2","2;",">",">[\"a:0.2\",\"b:0.3\"]","[\"a:0.2\",\"b:0.3\",\"bool:1.0\"]","[\"a:0.2\",\"b:0.3\",\"weather#sunny\"]","[\"a:0.2\"]","[\"a:1.0\"]","[\"age:39.0\",\"job#blu","[\"age:51.0\",\"job#entrepreneur\",\"marital#married\",\"education#primary\",\"default#no\",\"balance:1443.0\",\"housing#no\",\"loan#no\",\"contact#cellular\",\"day:18.0\",\"month#feb\",\"duration:172.0\",\"campaign:10.0\",\"pdays:","age,job,marital,education,default,balance,housing,loan,contact,day,month,duration,campaign,pdays,previous,poutcom","apach","array","array(\"age\",\"job\",\"marital\",\"education\",\"default\",\"balance\",\"housing\",\"loan\",\"contact\",\"day\",\"month\",\"duration\",\"campaign\",\"pdays\",\"previous\",\"poutcome\"),","avoid","boolean","categor","collar\",\"marital#married\",\"education#secondary\
",\"default#no\",\"balance:1756.0\",\"housing#yes\",\"loan#no\",\"contact#cellular\",\"day:3.0\",\"month#apr\",\"duration:939.0\",\"campaign:1.0\",\"pdays:","column","dual;","each","effort","exampl","featur","featurenames,","features,","foundat","gener","hivemal","id,","incub","incubator.","limit","name)","row,","select","softwar","sponsor","tabl","table.","train","treat","true","undergo","us","valu","vector","vectorize_feature(array","vectorize_features(","vectorize_features(array(\"a\"),*)","vectorize_features(array(\"a\",\"b\"),\"0.2\",\"0.3\")","vectorize_features(array(\"a\",\"b\"),\"0.2\",0)","vectorize_features(array(\"a\",\"b\",\"bool\"),0.2,0.3,true)","vectorize_features(array(\"a\",\"b\",\"weather\"),\"0.2\",\"0.3\",\"sunny\")","w/","weight","y","zero"],"ft_engineering/quantify.html":["${output_row},","(","(asf),","(id,",")","*","*)","0","1","1,0,pdays),","10","102","1028","1029","10;","121","1294","13","14","140","1443","1466","150","16","172","1756","176","18","181","181
5","185","2","20","230","235","24","25","26","260","266","27","29","295","3","30","31","32","324","34","354","36","37","38","39","4","404","41","423","426","43","436","442","474","476","476,0,0,1,27,5,92,4,0,0,0]","486","5","502","51","52","54","567","572","572,0,1,1,5,3,26,24,0,0,0]","574","595","6","62","6217","63","7","707","8","895","9","908","92","939","[1.0,39.0,0.0,0.0,0.0,0.0,1756.0,0.0,0.0,0.0,3.0,0.0,939.0,1.0,0.0,0.0,0.0,1.0]","[10.0,32.0,7.0,1.0,2.0,0.0,1815.0,1.0,0.0,2.0,10.0,6.0,235.0,1.0,6.0,2.0,1.0,1.0]","[2.0,51.0,1.0,0.0,1.0,0.0,1443.0,1.0,0.0,0.0,18.0,1.0,172.0,10.0,0.0,0.0,0.0,1.0]","[3.0,36.0,2.0,1.0,2.0,0.0,436.0,1.0,0.0,0.0,13.0,0.0,567.0,1.0,1.0,2.0,1.0,1.0]","[30,2,1,2,0,1028,1,0,0,4,1,1294,2,0,0,0]","[32,2,0,0,0,6217,0,1,0,18,9,486,2,181,2,1]","[34,5,1,0,0,","[37,1,0,1,0,62,1,0,0,31,8,404,2,0,0,0]","[38,5,1,2,0,","[39,7,1,2,0,426,1,0,1,18,3,1029,1,0,0,0]","[4.0,63.0,3.0,0.0,0.0,0.0,474.0,1.0,0.0,0.0,25.0,2.0,423.0,1.0,0.0,0.0,0.0,1.0]","[41,0,0,0,0,121,0,0,
0,13,5,16,6,176,5,3]","[43,4,0,1,0,574,0,0,0,8,5,140,1,0,0,0]","[5.0,31.0,2.0,1.0,2.0,0.0,354.0,1.0,0.0,0.0,30.0,0.0,502.0,1.0,2.0,2.0,2.0,1.0]","[52,8,0,1,0,1466,1,1,0,20,9,150,1,0,0,0]","[54,5,0,0,0,324,0,0,2,13,5,51,1,0,0,0]","[6.0,29.0,0.0,1.0,0.0,0.0,260.0,0.0,0.0,1.0,2.0,3.0,707.0,14.0,0.0,0.0,0.0,1.0]","[7.0,37.0,4.0,0.0,0.0,0.0,52.0,0.0,0.0,0.0,6.0,4.0,908.0,1.0,3.0,9.0,2.0,1.0]","[8.0,32.0,5.0,1.0,0.0,0.0,230.0,0.0,0.0,0.0,18.0,5.0,442.0,1.0,4.0,8.0,1.0,1.0]","[9.0,31.0,6.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,7.0,5.0,895.0,2.0,5.0,2.0,1.0,1.0]","admin.","ag","age,","apach","apr","array(age,","asc","aug","balanc","balance,","blue","campaign","campaign,","cast(pday","cellular","collar","column","contact","contact,","dataset","day","day,","default","default,","desc","durat","duration,","educ","education,","effort","employ","entrepreneur","failur","fals","featur","feb","forc","foundat","hivemal","hivevar:output_row=true;","hous","housemaid","housing,","id","id,","if(pdays==","incub","i
ncubator.","index","int","jan","job","job,","jul","jun","later.","limit","loan","loan,","manag","marit","marital,","marri","month","month,","non","note:","nov","number","numbers.","order","output_row,","pday","pdays,","poutcom","poutcome)","poutcome,","previou","previous,","primari","quantifi","quantified_featur","quantified_features(","quantify(","quantify(${output_row},","quantify()","reduc","retir","run","secondari","select","self","sep","servic","set","singl","softwar","sponsor","string","string),","success","support","t","t0","t1","t2","technician","telephon","tertiari","test","train","train;","train_first,","transform","true","undergo","union","unknown","us","v0.4","valu","y","y)","ye"],"ft_engineering/tfidf.html":["\":\",","\"realm:0.03282491756638329\",\"divided:0.03282491756638329\",\"concepts:0.03282491756638329\",\"attainment:0.032824","${n_docs})","&","'/home/myui/tmp/tfidf_test.tsv'","'|'","(","(asf),","(docid,","(docid,word)","(log(10,","(tf.word",")","*","+","...",".0
4200326112968063\",\"judgement:0.035169554338885474\",\"apply:0.035169554338885474\",\"disposition:0.035169554338","0.014001086678120098","0.017584777169442737","0.03282491756638329\",\"moral:0.03282491756638329\",\"numerous:0.03282491756638329\",\"philosophical:0.032824917566","0.06564983513276658","0.07033910867777095","0.09484606645205085","0.12","0.13","0.1641245850805637","1","1,","1.0)","1.0);","2","2,","3","38329\",\"application:0.03282491756638329\",\"perspectives:0.03282491756638329\",\"procedural:0.03282491756638329\",","56638329\",\"equity:0.03282491756638329\",\"includes:0.03282491756638329\",\"theology:0.03282491756638329\",\"ethics:","64983513276658\",\"based:0.06564983513276658\",\"religion:0.06564983513276658\",\"viewpoints:0.03282491756638329\",\"","82491756638329\",\"rightness:0.03282491756638329\",\"general:0.03282491756638329\",\"many:0.03282491756638329\",\"dif","885474\",\"given:0.035169554338885474\"","91756638329\",\"fields:0.03282491756638329\",\"often:0.026
135361945200226\",\"philosophy:0.026135361945200226\",\"stu","=","[\"action:0.07033910867777095\",\"wisdom:0.05275433288400458\",\"one:0.05275433288400458\",\"understanding:0","[\"justice:0.1641245850805637\",\"found:0.06564983513276658\",\"discussion:0.06564983513276658\",\"law:0.065","abov","act","action","apach","appropri","befor","beta3","calcul","cast(${n_docs}","cast(n_doc","cd","collect_all(concat(word,","collect_list(concat(word,","collect_list(feature(word,","compos","comput","consid","consist","count(distinct","creat","data","defin","delimit","desc;","df","df.docs,","df.word)","df_t","discuss","doc","docid","docid)","docid,","docid/word","docid;","document","document_frequ","download","dy:0.026135361945200226\"]","each","effort","entri","experi","explain","explode(tokenize(page,true))","explode(word2freq)","extern","featur","fering:0.03282491756638329\",\"fairness:0.03282491756638329\",\"social:0.03282491756638329\",\"broadest:0.032824917","field","find","float)/max2(1,df.
docs))","float)/max2(1,df_t))","float,","follows:","format","found","foundat","freq","freq;","group","hive","hive/hivemall.","hivemal","hivevar:n_docs=3;","https://gist.githubusercontent.com/myui/190b91a3a792ccfceda0/raw/327acd192da4f96da8276dcdff01b19947a4373c/tfidf_test.tsv","idf","idf(df_t","idf,","if(x>y,x,y);","incub","incubator.","inpath","int)","int,","is_stopword(word);","join","justic","justice,","knowledg","knowledge,","later","later.","law","link.","load","local","macro","max2(x","n_doc","need","notethi","number","order","page","pair","pair,","prepar","query.","rationality:0.03282491756638329\",\"including:0.03282491756638329\",\"context:0.03282491756638329\",\"concept:0.032","relat","religion","replac","respectively.","result","row","select","set","softwar","sponsor","store","string","support","t","t2","tabl","table/view","temporari","term_frequ","termin","textfile;","tf","tf(word)","tf.docid,","tf.freq","tf.word,","tf/df","tfidf","tfidf(tf","tfidf(tf.freq,","tfidf))","t
otal","tuples.","undergo","us","v0.3","v0.3.4","valu","vector","view","views,","virtu","well","wget","wikipag","wikipage;","wikipage_explod","wikipedia","willing","wisdom,","word","word)","word,","word2freq","word;","y","~/tmp"],"eval/binary_classification_measures.html":["\"matched\"","'","(1+\\beta^2)","(:","(asf),","(fn):","(fp):","(int","(tn):","(tp):","*","+","0","0.4","0.45454545454545453","0.5","0/1","1","1.0,","2","2.","4",";","=","\\frac{1}{2}precision=21.","\\frac{1}{3}precision=31.","\\frac{\\mathrm{\\#tp}","\\frac{\\mathrm{\\#tp}}{\\mathrm{\\#tp}","\\frac{\\mathrm{precision}","\\mathrm{\\#fn}","\\mathrm{\\#fn}}","\\mathrm{\\#fp}","\\mathrm{\\#fp}}","\\mathrm{\\#tn}}","\\mathrm{\\#tn}}{\\mathrm{\\#tp}","\\mathrm{f}_1","\\mathrm{f}_{\\beta}","\\mathrm{precision}","\\mathrm{recall}","\\mathrm{recall}}","\\mathrm{recall}}{\\beta^2","\\mathrm{recall}}{\\mathrm{precision}","abov","advertis","apach","appropriate.","area","argument","argument.","arr
ay(predicted))","article.","averag","average,","average.","base","beta","between","binari","binary')","boolean).","calcul","case","case,","categories.","cautionhivemal","center","classif","classifi","classification'","classification,","click","column","comput","consid","correct","count","creat","curv","data","data;","deal","default","descript","detail","determin","each","effort","element","equation:","equival","evalu","exampl","example,","examples,","explanation.","extern","f","f1","f1=2precision∗recallprecision+recal","f1score","f1score(array(truth),","f1score(truth,","fals","fmeasur","fmeasure(truth,","fn","fn:","focus","follow","follows:","foundat","fp","fp:","function","function,","fβ=(1+β2)precision∗recallβ2precision+recal","f1=2precision+recallprecision∗recall","fβ=(1+β2)β2precision+recallprecision∗recall","gener","given","hand,","harmon","hivemal","hivemall'","ignor","illustr","includ","incorrect"
,"incub","incubator.","indic","information.","int,","introduc","know","label","label,","label.","labels,","labels.","larger","learn","learn'","leftmost","mean","measur","metric","metrics,","micro","micro')","micro'.","micro(default)","modifi","more","neg","negative.","new","note","number","obtain","old","omitted,","ones.","onlin","operation.","option","output","page","paramet","pass","pleas","posit","precis","precision.","precision=#tp#tp+#fp","precision=#tp+#tn#tp+#fp+#tn","precision=12\\mathrm{precision}","precision=13\\mathrm{precision}","precision=#tp+#fp+#tn#tp+#tn","precision=#tp+#fp#tp","predict","predicted)","predicted,","prediction.","preliminari","previou","probabl","problem","problems.","provid","queri","rate","reach","recal","recall.","recall=#tp#tp+#fn","recall=#tp+#tn#tp+#fn+#tn","recall=#tp+#fn+#tn#tp+#tn","recall=#tp+#fn#tp","recommend","repres","resource:","roc","row","same","sampl","scikit","score","score)
.","score.","select","set","sever","show","simpli","smaller","so,","softwar","special","sponsor","such","switch","tabl","table.","task","that,","those","tn","tn:","to:","toy","tp:","tr","true","truth","truth,","tutori","two","type","under","undergo","union","us","valu","value'","value:","values:","want","weight","wikipedia","β=1\\beta=1β=1","β=1\\beta=1β=1.","β=2\\beta=2β=2","β\\betaβ"],"eval/auc.html":["(","(asf),","(auc)","(i.e.,","(label=0)","(label=1)","(rows)",")","/","0","0.2","0.2)","0.3","0.5","0.54001","0.7","0.8","0.83333","1","1]","5","[0,","abov","above,","above:","allow","anoth","apach","approxim","area","assum","auc","auc(doubl","auc(prob,","auc.","base","better.","between","bin","binari","both","call","case.","classif","classifi","classification.","claus","column","compar","comput","contain","curv","data","desc","descend","differ","distribut","effort","evalu","example,","floor(prob","follow","follows:","foundat","function","gener","give","hand,","henc","higher
","hive'","hivemal","hivemall,","incub","incubator.","input","instance,","int","label","label)","label.","labels.","large,","larger","logarithm","logist","logloss(prob,","loss","mani","mean","meanwhile,","mention","metric","need","neg","negative)","node","note","now","on","onc","one.","order","order,","order.","pair","pairs.","parallel","parallel:","perform","posit","positive/neg","predict","prob","prob,","probabilities)","probability(predict","probability.","probabl","problem","produc","provid","queri","range.","rank","regression.","rel","respect","return","roc","row","rows,","sampl","samples.","score","score)","score,","select","sequenti","shown","simpli","singl","smaller","softwar","sort","sponsor","such","t;","tabl","truth","ultimately,","under","undergo","union","us","way","well.","wide"],"eval/multilabel_classification_measures.html":["\"bird\")","\"cat\")","\"dog\")","\"dog\",","'","(","(1+\\beta^2)","(:","(\\sum_i","(asf),","(no",")","+","0.6779661016949152","0.6956521739130
435","0≤li≤∣l∣0","1.0,","2","2*","2.')",";","=","\\beta^2","\\cap","\\frac","\\leq","\\mathrm{f}_1","\\mathrm{f}_{\\beta}","\\sum_i","actual,","anim","apach","array(\"bird\")","array(\"bird\",","array(\"cat\")","array(\"cat\",","array(\"dog\")","array(\"dog\",","array()","article.","base","beta","bird","bird,","blog","calcul","case","cat","cat,","categories.","cautionhivemal","classif","classification'","classifier.","column","comput","data","dataset","dataset,","defin","determin","document.","dog","dog,","each","effort","equation:","equival","evalu","exampl","explanation.","f","f1","f1=2∑i∣li∩pi∣2∗∑i∣li∩pi∣+∑i∣li−pi∣+∑i∣pi−li∣","f1score","fmeasur","fmeasure(actual,","focus","follow","foundat","function","function,","fβ=(1+β2)∑i∣li∩pi∣β2(∑i∣li∩pi∣+∑i∣li−pi∣)+∑i∣li∩pi∣+∑i∣pi−li∣","f1=22∗∑i∣li∩pi∣+∑i∣li−pi∣+∑i�
��∣pi−li∣∑i∣li∩pi∣","fβ=(1+β2)β2(∑i∣li∩pi∣+∑i∣li−pi∣)+∑i∣li∩pi∣+∑i∣pi−li∣∑i∣li∩pi∣","gener","given","ground","hand,","harmon","hivemal","iii","incub","incubator.","introduc","l_i","l_i|","l_i|}","label","label)","labels,","larger","left","lil_ili","lll","manner,","mean","measur","measure.","metric","micro","more","multi","name","obtain","old","omitted,","operation.","p_i","p_i|","p_i|)","page","paramet","pip_ipi","posit","post","posts,","posts.","precision.","predict","predicted)","predicted,","prediction.","problem","problems.","provid","queri","reach","recal","recall.","recommend","repres","right","same","sampl","score","score).","score.","select","set","show","smaller","so,","
softwar","special","sponsor","such","suppos","tabl","tag","task","th","toy","truth","two","undergo","union","uniqu","us","valu","weight","{","{\\sum_i","|","|l_i","|l|0≤li≤∣l∣.","|p_i","|}","}","β=1\\beta=1β=1","β=1\\beta=1β=1.","β=2\\beta=2β=2.","β\\betaβ"],"eval/regression.html":["${mean_actual},2.0))","(","(asf),","(r^2)",")","/","0","0.01","0.02","0.14852283792484033","0.2466732002711477","0.38538660838804495","0.48623913673053565","1","1.9610366706408238","3.8200363760415414","3.8200363760415414;","3.9124877451612488","absolut","actual)","actual))/count(1)","actual)*ln(1","actual,","actual,2.0))/count(1)","actual,2.0))/count(1))","alpha.5","apach","avg(actual),","avg(predicted)","coeffici","comput","determin","e2006","e2006tfidf_pa2a_submit;","effort","error","evalu","example,","explain","follows:","foundat","hive.","hivemal","hivevar:mean_actual=","http://en.wikipedia.org/wiki/coefficient_of_determin","https://www.kaggle.com/wiki/metr","incub","incubat
or.","logarithm","logloss(predicted,","logloss1,","logloss2","loss","mae(predicted,","mae,","mean","metric","model","mse(predicted,","mse,","predict","predicted)","predicted))/count(1)","predicted,2.0))","r2","r2(actual,","rc.1","refer","regress","rmse(predicted,","rmse,","root","score","select","set","softwar","sponsor","sqrt(sum(pow(predict","squar","sum(abs(predict","sum(actual*ln(predicted)+(1","sum(pow(actu","sum(pow(predict","support","t","t;","tfidf","undergo","union","us","v0.4.1","v0.4.2"],"eval/rank.html":["\"","&","'","(","(1","(2^{\\mathrm{rel}_n}","(\\mathrm{otherwise})","(asf),","(auc)","(i+,i−)(i^+,","(i.e.,","(i_n","(itemid","(map)","(max_k)","(mrr)","(n","(ndcg)","(precision@k)","(recall@k)","(scores)","(t1.userid","(the","(userid",")",")(i+,i−)","),","+",",",".","...,","/","0","0.3333333333333333","0.333recall@2=1/3≈0.333.","0.5","0.5555555555555555","0.5precision@2=1/2=0.5","0.6131471927654585","0.613ndcg2=dcg2/idcg2
≈0.613.","0.6666666666666666","0.7039180890341349","0.75","0.8128912838590544","0.9187707805346093","1","1)","1,","1.0","1.631idcg2=1/log22+1/log23≈1.631.","1/1","1/\\log_2","10.0","1dcg2=1/log22=1.","1mrr=1/1=1,","1}^{|\\mathcal{i}|}","2","2)","2),","2,","2.0","3","3)","3,","3.0","3\\}i2(u)={1,3}","3\\}u={1,2,3},","4","4)","4,","4.0","4\\}iu+={1,2,4},","4\\}iu+={1,2,4}.","5,","5.0","5\\})","6","6,","6.0","6\\}i={1,2,3,4,5,6}","8.0",";","=","=>",">","[","[1,2,4]","[1,3,2,6],","\\\\","\\approx","\\begin{array}{ll}","\\cap","\\cdot","\\end{array}","\\frac{1}{n_{\\mathrm{tp}}}.","\\frac{1}{|\\mathcal{i}^+_u|}","\\frac{2}{3}","\\frac{3}{4}}{3}","\\frac{3}{5}}{3}","\\frac{\\frac{1}{1}","\\frac{\\mathrm{dcg}_k}{\\mathrm{idcg}_k}","\\frac{\\sum_{n=1}^{|\\mathcal{i}|}","\\frac{|\\mathcal{i}^+_u","\\in","\\left[","\\left[i_n","\\left\\{","\\leq","\\log_2(n","\\mathbf{0.756},","\\mathbf{0.806}.","\\mathcal{i}
^","\\mathcal{i}^+_u","\\mathcal{i}^+_u)","\\mathcal{i}^+_u\\right]}{\\sum_{n=1}^{|\\mathcal{i}|}","\\mathcal{i}^+_ui+∈iu+","\\mathcal{i}ik(u)⊂i,","\\mathcal{u}u∈u,","\\mathrm{dcg}_2","\\mathrm{idcg}_2","\\mathrm{map}","\\mathrm{map}(\\mathcal{i}^+_u,","\\mathrm{mrr}","\\mathrm{ndcg}_k","\\mathrm{precision@}k","\\mathrm{precision@}n","\\mathrm{recall@}k","\\mathrm{rel}_n","\\right.","\\right]ntp∈[1,∣i∣],","\\subset","\\sum_{n","\\time","\\{1,","].","_ui−∈iu−,","_u|∣iu+∣×∣iu−∣","abov","above,","above.","accord","accuraci","addit","addition","additionally,","aggreg","allow","altern","and/or","apach","applic","approach","arbitrari","area","argument:","as:","assess","assign","assum","auc","auc(t1.rec,","auc,","auc_at_2,","avail","averag","average_precision(t1.rec,","average_precision,","average_precision_at_2,","base","basically,","be","be:","before.","behind","best","better"
,"between","binari","built","by:","case","cast(count(itemid)","cautionbefor","cautionin","chapter,","choic","chosen","classif","collabor","collect_set(itemid)","combin","compar","complet","comput","concept","consid","consist","contain","context","convincing,","correct","correspond","count(itemid)","cover","coverag","creat","cumul","curv","d_k(n)","d_k(n)},","dcg2=1/log22=1\\mathrm{dcg}_2","dcgk\\mathrm{dcg}_kdcgk","demonstr","denot","depict","describ","determin","differ","directli","discount","dk(n)={(2reln−1)/log2(n+1)(1≤n≤k)0(n>k).","done","dummi","dummy_rec","dummy_rec?","dummy_recrel","dummy_truth","duplic","dk(n)={(2reln−1)/log2(n+1)0(1≤n≤k)(n>k).","each","easi","effici","effort","emphasi","empty.","enabl","equation:","evalu","even","exactli","example,","exist","expect","figur","filter","final","first","fit","fix","focus","follow","follows:","formul","formulation,","foundat","function","gain","gene
r","give","grade","group","handl","hence,","here","here,","higher","highest","hive","hivemal","hivemall'","hivemall.","however,","i(u)i(u)i(u)","i(u)i(u)i(u)),","i(u)i(u)i(u),","i+i^+i+","i+∈iu+i^+","i2(u)={1,3}i_2(u)","i2(u)i_2(u)i2(u)","i={1,2,3,4,5,6}\\mathcal{i}","i\\mathcal{i}i,","i^","i_k(u)|}{|\\mathcal{i}^+_u|}.","i_k(u)|}{|i_k(u)|}.","i_k(u)|∣iu+∩ik(u)∣","i_n","idcg2=1/log22+1/log23≈1.631\\mathrm{idcg}_2","idcgk\\mathrm{idcg}_kidcgk","ik(u)i_k(u)ik(u)","ik(u)i_k(u)ik(u),","ik(u)⊂ii_k(u)","implement","importantly,","incorpor","incub","incubator.","indic","inform","ini_nin","input","instead","int)","interest","intern","interpret","introduc","inverse:","is,","issu","item","itemid","itemid),","itemid,","items,","items.","items:","iu+={1,2,4}\\mathcal{i}^+_u","iu+\\mathcal{i}^+_uiu+","iu+\\mathcal{i}^+_uiu+.","iu+\\mathcal{i}^+_uiu+;","i−.","i−i
^","i−∈iu−i^","join","k","k)","key","key)","key,","key.hence,","keyword","kind","label","later.","latest","launch","lead","learn","length","list","list,","lists.","machin","map","map(iu+,{1,3,2,4,6,5})=11+23+343≈0.806.","map(iu+,{1,3,2,6,4,5})=11+23+353≈0.756,","map(iu+,{1,3,2,4,6,5})=311+32+43≈0.806.","map(iu+,{1,3,2,6,4,5})=311+32+53≈0.756,","map.","map=1∣iu+∣∑n=1∣i∣precision@n⋅[in∈iu+].","map=∣iu+∣1n=1∑∣i∣precision@n⋅[in∈iu+].","map_values(to_ordered_map(key,","map_values(to_ordered_map(score,","match","max_k","mean","meanwhile,","measur","measure,","measures,","metric","metric.","more","mpr","mrr","mrr(t1.rec,","mrr,","mrr=1/1=1\\mathrm{mrr}","mrr=1ntp.","mrr=ntp1.","mrr_at_2,","much","multipl","n","name","name
s.","ndcg","ndcg()","ndcg(t1.rec,","ndcg,","ndcg2=dcg2/idcg2≈0.613\\mathrm{ndcg}_2","ndcg_at_2","ndcgk=dcgkidcgk=∑n=1∣i∣dk(n)[in∈iu+]∑n=1∣i∣dk(n),","ndcgk=idcgkdcgk=∑n=1∣i∣dk(n)∑n=1∣i∣dk(n)[in∈iu+],","newer","nnn","non","normal","notation.","notic","now,","ntp∈[1,∣i∣]n_{\\mathrm{tp}}","number","observations.","obtain","on","order","origin","out","output","over","page","pair","pairs.","pairs:","permutation,","place","portion","posit","positive,","positives.","possibl","potenti","practic","precis","precise,","precision(),","precision().","precision,","precision@1,","precision@2,","precision@2=1/2=0.5\\mathrm{precision@}2","precision@k","precision@k=∣ik(u)∣∣iu+∩ik(u)∣.","precision@k=∣iu+∩ik(u)∣∣ik(u)∣.","precision@∣i∣|\\mathcal{i}|∣i∣,","precision_at()","precis
ion_at(t1.rec,","precision_at_2,","prediction:","problem","problem,","problem.","problems.","process","provid","quantit","queri","query:","rank","rc.1","rc.1,","reason","rec","rec,","recal","recall()","recall,","recall@2=1/3≈0.333\\mathrm{recall@}2","recall@k","recall@k,","recall@k=∣iu+∣∣iu+∩ik(u)∣.","recall@k=∣iu+∩ik(u)∣∣iu+∣.","recall_at()","recall_at(t1.rec,","recall_at_2,","reciproc","recommend","recommendation,","recommendation.","regist","relev","reln={1(in∈iu+)0(otherwise).","reln\\mathrm{rel}_nreln","reln\\mathrm{rel}_nreln,","relscore(expected)","reln={10(in∈iu+)(otherwise).","renam","replac","reserv","respect","respons","responses,","responses.","result","retriev","return","reverse\")","reverse')","roc","s","same","sampl","samples.","score","score(predicted)","score,","second","select","separ","set","setting,","show","simpl","sim
pli","singl","six","size","softwar","solv","specifi","sponsor","still","strongli","such","suggest","sum","system,","t1","t1.max_k)","t2","t2.truth,","t2.userid)","tabl","table,","tables,","tackl","take","target","th","that,","three","thus,","to_ordered_list(itemid,","to_ordered_list(relscore,","to_ordered_list(struct(relscore,","to_ordered_list(value,","to_ordered_map()","top","true","true))","true)).","truth","two","u={1,2,3}\\mathcal{u}","under","undergo","unlik","us","usag","user","userid","userid,","u∈uu","v0.5","v2.2.0,","valu","value,","values)","values,","version","way","well","within","words,","zero","|\\mathcal{i}^","|\\mathcal{i}|","∣iu+∣×∣iu−∣|\\mathcal{i}^+_u|","∣iu+∩ik(u)∣|\\mathcal{i}^+_u","∣i∣|\\mathcal{i}|∣i∣."],"eval/datagen.html":["(asf),","apach","data","effort","foundat","gener","hivemal","incub","incubator.","softwar","sponsor","undergo"],"eval/lr_datagen.html":["\"","(","(asf),","(at","(label,features)","(recommended)",")",");","*","0
.0","0.044","0.046","0.13126314\",\"190:0.18610542\",\"131:1.7232913\",\"24:","0.19020283\",\"21:","0.54811275\"]","0.5568947\",\"10:0.621897\",\"6:","0.7220096","0.7274741","0.7346627","0.9842969\",\"177:0.062993184\",\"176:","0/1","1","1.0","10","100","100\")","100')","1000","10k","1;","2","2.7551131\",\"113:","2;","5;","9999","[\"139:1.9607254\",\"110:2.958568\",\"186:3.2524762\",\"31:3.9243593\",\"167:0.72854257\",\"26:1.8355447\",\"117:2.7663715\",\"3:2.1551287\",\"179:3.1099443\",\"19:3.6411424\"]","[\"140:2.8347101\",\"165:3.0056276\",\"179:4.030076\",\"112:3.3919246\",\"99:3.98914\",\"16:3.5653272\",\"128:3.046535\",\"124:2.7708225\",\"78:2.4960368\",\"6:1.7866131\"]","[\"34:2.9269936\",\"35:0.37033868\",\"39:3.771989\",\"47:2.2087111\",\"28:2.9445739\",\"55:4.134555\",\"14:2.4297745\",\"164:3.0913055\",\"52:2.0519433\",\"128:2.9108515\"]","[\"73:3.4391513\",\"198:4.42387\",\"164:4.248151\",\"66:3.5224934\",\"84:1.9026604\",\"76:0.79803777\",\"18:2.2168183\",\"163:2.248695\"
,\"119:1.5906067\",\"72:2.0267224\"]","[\"84:","[\"84:3.4227803\",\"80:3.8875976\",\"58:3.2909582\",\"123:3.1056073\",\"194:3.3360343\",\"199:2.20207\",\"75:3.5469763\",\"74:3.3869767\",\"126:0.9969454\",\"93:2.5352612\"]","[\"98:4.2451696\",\"4:3.486905\",\"133:2.4589922\",\"26:2.7301126\",\"103:2.6827147\",\"2:3.6198254\",\"34:3.7042716\",\"47:2.5515237\",\"68:2.4294896\",\"197:4.4958663\"]","[4.061373,3.9373128,3.5195694,3.3604698,3.7698417,4.2518,3.8796813,1.6020582,4.937072,1.5513933,3.0289552,2.6674519,3.432688,2.980945,1.8897587,2.9770515,3.3435504,1.7867403,3.4057906,1.2151588,5.0587463,2.1410913,2.8097973,2.4518871,3.175268,3.3347685,3.728993,3.1443396,3.5506077,3.6357877,4.248151,3.5224934,3.2423255,2.5188355,1.8626233,2.8432152,2.2762651,4.57472,2.2168183,2.248695,3.3636255,2.8359523,2.0327945,1.5917025,2.9269936,0.37033868,2.6151125,4.545956,2.0863252,3.7857852,2.9445739,4.134555,3.0660007,3.4279037,2.0519433,2.9108515,3.5171766,3.4708095,3.161707,2.39229,2.4589922,2.730
1126,3.5303073,2.7398396,3.7042716,2.5515237,3.0943663,0.41565156,4.672767,3.1461313,3.0443575,3.4023938,2.2205734,1.8950733,2.1664586,4.8654623,2.787029,4.0460386,2.4455893,3.464298,1.062505,3.0513604,4.382525,2.771433,3.2828436,3.803544,2.178681,4.2466116,3.5440445,3.1546876,3.4248536,0.9067459,3.0134914,1.9528451,1.7175893,2.7029774,2.5759792,3.643847,3.0799,3.735559]","apach","array","cl\"","cl\")","classif","count(*)+1","count(1)","creat","data","dataset","dataset.","default","default,","dens","desc","detail","distribut","dual","dual;","dummi","effort","featur","fetched:","find","float","follows:","foundat","gener","generate_series(1,${n_parallel_datagen})","generated.","help').","hive>","hivemal","hivevar:n_parallel_datagen=10;","incub","incubator.","insert","int","label","label.","limit","logist","lr_datagen(\"","lr_datagen('","lrdata1k","lrdata1k;","mapred.reduce.tasks=","mapred.reduce.tasks=${n_parallel_datagen};","max)","multipl","n_dim","n_exampl","n_featur","none","ok","
option","option,","parallel","reduc","reducers.","regress","regression_data1","regression_data1;","regression_data_dens","regression_data_dense;","replac","reset","row(s)","run","scalabl","seconds,","seed","select","seq10","seq10;","set","singl","softwar","spars","sponsor","t","tabl","taken:","task","time","undergo","us","value;","view","well"],"misc/prediction.html":["\"model\"","\"predict","'","(0/1","(\\mathbf{x}_2,","(\\mathbf{x}_n,","(asf),","(i.e.,","(input)","(integer)","(output)","(sgd)","(synonym:","(x1,y1),(x2,y2),⋯,(xn,yn)(\\mathbf{x}_1,","(xi,yi)(\\mathbf{x}_i,","(λ\\lambdaλ","+","...","0","0,","0.005]","0.54,","1","1,","1/1),","10]","17.1","1]","2","2.","21.3","42.195,","6.2",":=","[\"1:0.001\",\"4:0.23\",\"35:0.0035\",...]","[\"1:0.2\",\"3:0.1\",\"13:0.005\",...]","[\"5:1.3\",\"22:0.0.089\",\"77:0.0001\",...]","[default:","\\cdots,","\\frac{1}{n}","\\lambda","\\mathbf{x}_i,","\\sum_{i=1}^{n}","abov","accuracy.","achiev","adadelta","adagrad","adam","additionally,","
algorithm","anoth","apach","applied.","appropri","articl","as:","assum","auxiliari","avail","base","batch","before,","behav","below","below:","better","binari","briefli","build","call","case","categor","choic","class","classif","classification,","classification.","classifier,","classifiers.","click","combin","condit","configur","construct","constructed.","context",
<TRUNCATED>
[09/20] incubator-hivemall-site git commit: Added criteo example and
step-by-step guide for general classifier/regressor
Posted by my...@apache.org.
http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/6c6a1b42/userguide/recommend/movielens_cv.html
----------------------------------------------------------------------
diff --git a/userguide/recommend/movielens_cv.html b/userguide/recommend/movielens_cv.html
index 8303b48..7d0394d 100644
--- a/userguide/recommend/movielens_cv.html
+++ b/userguide/recommend/movielens_cv.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>
+
@@ -2321,7 +2387,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
<script>
var gitbook = gitbook || [];
gitbook.push(function() {
- gitbook.page.hasChanged({"page":{"title":"10-fold cross validation (Matrix Factorization)","level":"9.3.6","depth":2,"next":{"title":"Outlier Detection using Local Outlier Factor (LOF)","level":"10.1","depth":1,"path":"anomaly/lof.md","ref":"anomaly/lof.md","articles":[]},"previous":{"title":"SLIM for fast top-k recommendation","level":"9.3.5","depth":2,"path":"recommend/movielens_slim.md","ref":"recommend/movielens_slim.md","articles":[]},"dir":"ltr"},"config":{"plugins":["theme-api","edit-link","github","splitter","sitemap","etoc","callouts","toggle-chapters","anchorjs","codeblock-filename","expandable-chapters","multipart","codeblock-filename","katex","emphasize","localized-footer"],"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"pluginsConfig":{"emphasize":{},"callouts":{},"etoc":{"h2lb":3,"header":1,"maxdepth":3,"mindepth":1,"notoc":true},"github
":{"url":"https://github.com/apache/incubator-hivemall/"},"splitter":{},"search":{},"downloadpdf":{"base":"https://github.com/apache/incubator-hivemall/docs/gitbook","label":"PDF","multilingual":false},"multipart":{},"localized-footer":{"filename":"FOOTER.md","hline":"true"},"lunr":{"maxIndexSize":1000000,"ignoreSpecialCharacters":false},"katex":{},"fontsettings":{"theme":"white","family":"sans","size":2,"font":"sans"},"highlight":{},"codeblock-filename":{},"sitemap":{"hostname":"http://hivemall.incubator.apache.org/"},"theme-api":{"languages":[],"split":false,"theme":"dark"},"sharing":{"facebook":true,"twitter":true,"google":false,"weibo":false,"instapaper":false,"vk":false,"all":["facebook","google","twitter","weibo","instapaper"]},"edit-link":{"label":"Edit","base":"https://github.com/apache/incubator-hivemall/tree/master/docs/gitbook"},"theme-default":{"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"style
s/ebook.css","print":"styles/print.css"},"showLevel":true},"anchorjs":{"selector":"h1,h2,h3,*:not(.callout) > h4,h5"},"toggle-chapters":{},"expandable-chapters":{}},"theme":"default","pdf":{"pageNumbers":true,"fontSize":12,"fontFamily":"Arial","paperSize":"a4","chapterMark":"pagebreak","pageBreaksBefore":"/","margin":{"right":62,"left":62,"top":56,"bottom":56}},"structure":{"langs":"LANGS.md","readme":"README.md","glossary":"GLOSSARY.md","summary":"SUMMARY.md"},"variables":{},"title":"Hivemall User Manual","links":{"sidebar":{"<i class=\"fa fa-home\"></i> Home":"http://hivemall.incubator.apache.org/"}},"gitbook":"3.x.x","description":"User Manual for Apache Hivemall"},"file":{"path":"recommend/movielens_cv.md","mtime":"2017-12-11T08:48:01.139Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-06-06T09:01:20.330Z"},"basePath":"..","book":{"language":""}});
+ gitbook.page.hasChanged({"page":{"title":"10-fold cross validation (Matrix Factorization)","level":"9.3.6","depth":2,"next":{"title":"Outlier Detection using Local Outlier Factor (LOF)","level":"10.1","depth":1,"path":"anomaly/lof.md","ref":"anomaly/lof.md","articles":[]},"previous":{"title":"SLIM for fast top-k recommendation","level":"9.3.5","depth":2,"path":"recommend/movielens_slim.md","ref":"recommend/movielens_slim.md","articles":[]},"dir":"ltr"},"config":{"plugins":["theme-api","edit-link","github","splitter","sitemap","etoc","callouts","toggle-chapters","anchorjs","codeblock-filename","expandable-chapters","multipart","codeblock-filename","katex","emphasize","localized-footer"],"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"pluginsConfig":{"emphasize":{},"callouts":{},"etoc":{"h2lb":3,"header":1,"maxdepth":3,"mindepth":1,"notoc":true},"github
":{"url":"https://github.com/apache/incubator-hivemall/"},"splitter":{},"search":{},"downloadpdf":{"base":"https://github.com/apache/incubator-hivemall/docs/gitbook","label":"PDF","multilingual":false},"multipart":{},"localized-footer":{"filename":"FOOTER.md","hline":"true"},"lunr":{"maxIndexSize":1000000,"ignoreSpecialCharacters":false},"katex":{},"fontsettings":{"theme":"white","family":"sans","size":2,"font":"sans"},"highlight":{},"codeblock-filename":{},"sitemap":{"hostname":"http://hivemall.incubator.apache.org/"},"theme-api":{"languages":[],"split":false,"theme":"dark"},"sharing":{"facebook":true,"twitter":true,"google":false,"weibo":false,"instapaper":false,"vk":false,"all":["facebook","google","twitter","weibo","instapaper"]},"edit-link":{"label":"Edit","base":"https://github.com/apache/incubator-hivemall/tree/master/docs/gitbook"},"theme-default":{"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"style
s/ebook.css","print":"styles/print.css"},"showLevel":true},"anchorjs":{"selector":"h1,h2,h3,*:not(.callout) > h4,h5"},"toggle-chapters":{},"expandable-chapters":{}},"theme":"default","pdf":{"pageNumbers":true,"fontSize":12,"fontFamily":"Arial","paperSize":"a4","chapterMark":"pagebreak","pageBreaksBefore":"/","margin":{"right":62,"left":62,"top":56,"bottom":56}},"structure":{"langs":"LANGS.md","readme":"README.md","glossary":"GLOSSARY.md","summary":"SUMMARY.md"},"variables":{},"title":"Hivemall User Manual","links":{"sidebar":{"<i class=\"fa fa-home\"></i> Home":"http://hivemall.incubator.apache.org/"}},"gitbook":"3.x.x","description":"User Manual for Apache Hivemall"},"file":{"path":"recommend/movielens_cv.md","mtime":"2018-08-29T08:55:00.281Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-08-31T06:54:21.013Z"},"basePath":"..","book":{"language":""}});
});
</script>
</div>
@@ -2351,7 +2417,7 @@ 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/recommend/movielens_dataset.html
----------------------------------------------------------------------
diff --git a/userguide/recommend/movielens_dataset.html b/userguide/recommend/movielens_dataset.html
index b75352f..8398a9e 100644
--- a/userguide/recommend/movielens_dataset.html
+++ b/userguide/recommend/movielens_dataset.html
@@ -861,9 +861,9 @@
- <li class="chapter " data-level="5.1" data-path="../misc/prediction.html">
+ <li class="chapter " data-level="5.1" data-path="../supervised_learning/prediction.html">
- <a href="../misc/prediction.html">
+ <a href="../supervised_learning/prediction.html">
<b>5.1.</b>
@@ -876,6 +876,21 @@
</li>
+ <li class="chapter " data-level="5.2" data-path="../supervised_learning/tutorial.html">
+
+ <a href="../supervised_learning/tutorial.html">
+
+
+ <b>5.2.</b>
+
+ Step-by-Step Tutorial on Supervised Learning
+
+ </a>
+
+
+
+ </li>
+
@@ -1228,6 +1243,57 @@
</li>
+ <li class="chapter " data-level="6.8" data-path="../binaryclass/criteo.html">
+
+ <a href="../binaryclass/criteo.html">
+
+
+ <b>6.8.</b>
+
+ Criteo Tutorial
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="6.8.1" data-path="../binaryclass/criteo_dataset.html">
+
+ <a href="../binaryclass/criteo_dataset.html">
+
+
+ <b>6.8.1.</b>
+
+ Data preparation
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="6.8.2" data-path="../binaryclass/criteo_ffm.html">
+
+ <a href="../binaryclass/criteo_ffm.html">
+
+
+ <b>6.8.2.</b>
+
+ Field-Aware Factorization Machines
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
@@ -2414,7 +2480,7 @@ 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":"9.3.1","depth":2,"next":{"title":"Item-based collaborative filtering","level":"9.3.2","depth":2,"path":"recommend/movielens_cf.md","ref":"recommend/movielens_cf.md","articles":[]},"previous":{"title":"MovieLens Movie Recommendation Tutorial","level":"9.3","depth":1,"path":"recommend/movielens.md","ref":"recommend/movielens.md","articles":[{"title":"Data preparation","level":"9.3.1","depth":2,"path":"recommend/movielens_dataset.md","ref":"recommend/movielens_dataset.md","articles":[]},{"title":"Item-based collaborative filtering","level":"9.3.2","depth":2,"path":"recommend/movielens_cf.md","ref":"recommend/movielens_cf.md","articles":[]},{"title":"Matrix Factorization","level":"9.3.3","depth":2,"path":"recommend/movielens_mf.md","ref":"recommend/movielens_mf.md","articles":[]},{"title":"Factorization Machine","level":"9.3.4","depth":2,"path":"recommend/movielens_fm.md","ref":"recommend/movielens_fm.md","
articles":[]},{"title":"SLIM for fast top-k recommendation","level":"9.3.5","depth":2,"path":"recommend/movielens_slim.md","ref":"recommend/movielens_slim.md","articles":[]},{"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,"mindepth":1,"notoc":true},"github":{"url":"https://github.com/apache/incubator-hivemall/"},"splitter":{},"search":{},"downloadpdf":{"base":"http
s://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) > h
4,h5"},"toggle-chapters":{},"expandable-chapters":{}},"theme":"default","pdf":{"pageNumbers":true,"fontSize":12,"fontFamily":"Arial","paperSize":"a4","chapterMark":"pagebreak","pageBreaksBefore":"/","margin":{"right":62,"left":62,"top":56,"bottom":56}},"structure":{"langs":"LANGS.md","readme":"README.md","glossary":"GLOSSARY.md","summary":"SUMMARY.md"},"variables":{},"title":"Hivemall User Manual","links":{"sidebar":{"<i class=\"fa fa-home\"></i> Home":"http://hivemall.incubator.apache.org/"}},"gitbook":"3.x.x","description":"User Manual for Apache Hivemall"},"file":{"path":"recommend/movielens_dataset.md","mtime":"2017-12-11T08:48:01.139Z","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":"9.3.1","depth":2,"next":{"title":"Item-based collaborative filtering","level":"9.3.2","depth":2,"path":"recommend/movielens_cf.md","ref":"recommend/movielens_cf.md","articles":[]},"previous":{"title":"MovieLens Movie Recommendation Tutorial","level":"9.3","depth":1,"path":"recommend/movielens.md","ref":"recommend/movielens.md","articles":[{"title":"Data preparation","level":"9.3.1","depth":2,"path":"recommend/movielens_dataset.md","ref":"recommend/movielens_dataset.md","articles":[]},{"title":"Item-based collaborative filtering","level":"9.3.2","depth":2,"path":"recommend/movielens_cf.md","ref":"recommend/movielens_cf.md","articles":[]},{"title":"Matrix Factorization","level":"9.3.3","depth":2,"path":"recommend/movielens_mf.md","ref":"recommend/movielens_mf.md","articles":[]},{"title":"Factorization Machine","level":"9.3.4","depth":2,"path":"recommend/movielens_fm.md","ref":"recommend/movielens_fm.md","
articles":[]},{"title":"SLIM for fast top-k recommendation","level":"9.3.5","depth":2,"path":"recommend/movielens_slim.md","ref":"recommend/movielens_slim.md","articles":[]},{"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,"mindepth":1,"notoc":true},"github":{"url":"https://github.com/apache/incubator-hivemall/"},"splitter":{},"search":{},"downloadpdf":{"base":"http
s://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) > h
4,h5"},"toggle-chapters":{},"expandable-chapters":{}},"theme":"default","pdf":{"pageNumbers":true,"fontSize":12,"fontFamily":"Arial","paperSize":"a4","chapterMark":"pagebreak","pageBreaksBefore":"/","margin":{"right":62,"left":62,"top":56,"bottom":56}},"structure":{"langs":"LANGS.md","readme":"README.md","glossary":"GLOSSARY.md","summary":"SUMMARY.md"},"variables":{},"title":"Hivemall User Manual","links":{"sidebar":{"<i class=\"fa fa-home\"></i> Home":"http://hivemall.incubator.apache.org/"}},"gitbook":"3.x.x","description":"User Manual for Apache Hivemall"},"file":{"path":"recommend/movielens_dataset.md","mtime":"2018-08-29T08:55:00.281Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-08-31T06:54:21.013Z"},"basePath":"..","book":{"language":""}});
});
</script>
</div>
@@ -2444,7 +2510,7 @@ 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/recommend/movielens_fm.html
----------------------------------------------------------------------
diff --git a/userguide/recommend/movielens_fm.html b/userguide/recommend/movielens_fm.html
index 3a38c4f..9da7a9b 100644
--- a/userguide/recommend/movielens_fm.html
+++ b/userguide/recommend/movielens_fm.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>
+
@@ -2523,7 +2589,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
<script>
var gitbook = gitbook || [];
gitbook.push(function() {
- gitbook.page.hasChanged({"page":{"title":"Factorization Machine","level":"9.3.4","depth":2,"next":{"title":"SLIM for fast top-k recommendation","level":"9.3.5","depth":2,"path":"recommend/movielens_slim.md","ref":"recommend/movielens_slim.md","articles":[]},"previous":{"title":"Matrix Factorization","level":"9.3.3","depth":2,"path":"recommend/movielens_mf.md","ref":"recommend/movielens_mf.md","articles":[]},"dir":"ltr"},"config":{"plugins":["theme-api","edit-link","github","splitter","sitemap","etoc","callouts","toggle-chapters","anchorjs","codeblock-filename","expandable-chapters","multipart","codeblock-filename","katex","emphasize","localized-footer"],"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"pluginsConfig":{"emphasize":{},"callouts":{},"etoc":{"h2lb":3,"header":1,"maxdepth":3,"mindepth":1,"notoc":true},"github":{"url":"https://github.com/apac
he/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/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":"http://hivemall.incubator.apache.org/"}},"gitbook":"3.x.x","description":"User Manual for Apache Hivemall"},"file":{"path":"recommend/movielens_fm.md","mtime":"2017-12-11T08:48:01.139Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-06-06T09:01:20.330Z"},"basePath":"..","book":{"language":""}});
+ gitbook.page.hasChanged({"page":{"title":"Factorization Machine","level":"9.3.4","depth":2,"next":{"title":"SLIM for fast top-k recommendation","level":"9.3.5","depth":2,"path":"recommend/movielens_slim.md","ref":"recommend/movielens_slim.md","articles":[]},"previous":{"title":"Matrix Factorization","level":"9.3.3","depth":2,"path":"recommend/movielens_mf.md","ref":"recommend/movielens_mf.md","articles":[]},"dir":"ltr"},"config":{"plugins":["theme-api","edit-link","github","splitter","sitemap","etoc","callouts","toggle-chapters","anchorjs","codeblock-filename","expandable-chapters","multipart","codeblock-filename","katex","emphasize","localized-footer"],"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"pluginsConfig":{"emphasize":{},"callouts":{},"etoc":{"h2lb":3,"header":1,"maxdepth":3,"mindepth":1,"notoc":true},"github":{"url":"https://github.com/apac
he/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/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":"http://hivemall.incubator.apache.org/"}},"gitbook":"3.x.x","description":"User Manual for Apache Hivemall"},"file":{"path":"recommend/movielens_fm.md","mtime":"2018-08-29T08:55:00.282Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-08-31T06:54:21.013Z"},"basePath":"..","book":{"language":""}});
});
</script>
</div>
@@ -2553,7 +2619,7 @@ 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/recommend/movielens_mf.html
----------------------------------------------------------------------
diff --git a/userguide/recommend/movielens_mf.html b/userguide/recommend/movielens_mf.html
index 3857dd7..39dd7fc 100644
--- a/userguide/recommend/movielens_mf.html
+++ b/userguide/recommend/movielens_mf.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>
+
@@ -2438,7 +2504,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
<script>
var gitbook = gitbook || [];
gitbook.push(function() {
- gitbook.page.hasChanged({"page":{"title":"Matrix Factorization","level":"9.3.3","depth":2,"next":{"title":"Factorization Machine","level":"9.3.4","depth":2,"path":"recommend/movielens_fm.md","ref":"recommend/movielens_fm.md","articles":[]},"previous":{"title":"Item-based collaborative filtering","level":"9.3.2","depth":2,"path":"recommend/movielens_cf.md","ref":"recommend/movielens_cf.md","articles":[]},"dir":"ltr"},"config":{"plugins":["theme-api","edit-link","github","splitter","sitemap","etoc","callouts","toggle-chapters","anchorjs","codeblock-filename","expandable-chapters","multipart","codeblock-filename","katex","emphasize","localized-footer"],"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"pluginsConfig":{"emphasize":{},"callouts":{},"etoc":{"h2lb":3,"header":1,"maxdepth":3,"mindepth":1,"notoc":true},"github":{"url":"https://github.com/apache/i
ncubator-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.cs
s"},"showLevel":true},"anchorjs":{"selector":"h1,h2,h3,*:not(.callout) > h4,h5"},"toggle-chapters":{},"expandable-chapters":{}},"theme":"default","pdf":{"pageNumbers":true,"fontSize":12,"fontFamily":"Arial","paperSize":"a4","chapterMark":"pagebreak","pageBreaksBefore":"/","margin":{"right":62,"left":62,"top":56,"bottom":56}},"structure":{"langs":"LANGS.md","readme":"README.md","glossary":"GLOSSARY.md","summary":"SUMMARY.md"},"variables":{},"title":"Hivemall User Manual","links":{"sidebar":{"<i class=\"fa fa-home\"></i> Home":"http://hivemall.incubator.apache.org/"}},"gitbook":"3.x.x","description":"User Manual for Apache Hivemall"},"file":{"path":"recommend/movielens_mf.md","mtime":"2017-12-11T08:48:01.139Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-06-06T09:01:20.330Z"},"basePath":"..","book":{"language":""}});
+ gitbook.page.hasChanged({"page":{"title":"Matrix Factorization","level":"9.3.3","depth":2,"next":{"title":"Factorization Machine","level":"9.3.4","depth":2,"path":"recommend/movielens_fm.md","ref":"recommend/movielens_fm.md","articles":[]},"previous":{"title":"Item-based collaborative filtering","level":"9.3.2","depth":2,"path":"recommend/movielens_cf.md","ref":"recommend/movielens_cf.md","articles":[]},"dir":"ltr"},"config":{"plugins":["theme-api","edit-link","github","splitter","sitemap","etoc","callouts","toggle-chapters","anchorjs","codeblock-filename","expandable-chapters","multipart","codeblock-filename","katex","emphasize","localized-footer"],"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"pluginsConfig":{"emphasize":{},"callouts":{},"etoc":{"h2lb":3,"header":1,"maxdepth":3,"mindepth":1,"notoc":true},"github":{"url":"https://github.com/apache/i
ncubator-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.cs
s"},"showLevel":true},"anchorjs":{"selector":"h1,h2,h3,*:not(.callout) > h4,h5"},"toggle-chapters":{},"expandable-chapters":{}},"theme":"default","pdf":{"pageNumbers":true,"fontSize":12,"fontFamily":"Arial","paperSize":"a4","chapterMark":"pagebreak","pageBreaksBefore":"/","margin":{"right":62,"left":62,"top":56,"bottom":56}},"structure":{"langs":"LANGS.md","readme":"README.md","glossary":"GLOSSARY.md","summary":"SUMMARY.md"},"variables":{},"title":"Hivemall User Manual","links":{"sidebar":{"<i class=\"fa fa-home\"></i> Home":"http://hivemall.incubator.apache.org/"}},"gitbook":"3.x.x","description":"User Manual for Apache Hivemall"},"file":{"path":"recommend/movielens_mf.md","mtime":"2018-08-29T08:55:00.282Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-08-31T06:54:21.013Z"},"basePath":"..","book":{"language":""}});
});
</script>
</div>
@@ -2468,7 +2534,7 @@ 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/recommend/movielens_slim.html
----------------------------------------------------------------------
diff --git a/userguide/recommend/movielens_slim.html b/userguide/recommend/movielens_slim.html
index 9e237f2..2931933 100644
--- a/userguide/recommend/movielens_slim.html
+++ b/userguide/recommend/movielens_slim.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>
+
@@ -2889,7 +2955,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
<script>
var gitbook = gitbook || [];
gitbook.push(function() {
- gitbook.page.hasChanged({"page":{"title":"SLIM for fast top-k recommendation","level":"9.3.5","depth":2,"next":{"title":"10-fold cross validation (Matrix Factorization)","level":"9.3.6","depth":2,"path":"recommend/movielens_cv.md","ref":"recommend/movielens_cv.md","articles":[]},"previous":{"title":"Factorization Machine","level":"9.3.4","depth":2,"path":"recommend/movielens_fm.md","ref":"recommend/movielens_fm.md","articles":[]},"dir":"ltr"},"config":{"plugins":["theme-api","edit-link","github","splitter","sitemap","etoc","callouts","toggle-chapters","anchorjs","codeblock-filename","expandable-chapters","multipart","codeblock-filename","katex","emphasize","localized-footer"],"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"pluginsConfig":{"emphasize":{},"callouts":{},"etoc":{"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.cs
s","print":"styles/print.css"},"showLevel":true},"anchorjs":{"selector":"h1,h2,h3,*:not(.callout) > h4,h5"},"toggle-chapters":{},"expandable-chapters":{}},"theme":"default","pdf":{"pageNumbers":true,"fontSize":12,"fontFamily":"Arial","paperSize":"a4","chapterMark":"pagebreak","pageBreaksBefore":"/","margin":{"right":62,"left":62,"top":56,"bottom":56}},"structure":{"langs":"LANGS.md","readme":"README.md","glossary":"GLOSSARY.md","summary":"SUMMARY.md"},"variables":{},"title":"Hivemall User Manual","links":{"sidebar":{"<i class=\"fa fa-home\"></i> Home":"http://hivemall.incubator.apache.org/"}},"gitbook":"3.x.x","description":"User Manual for Apache Hivemall"},"file":{"path":"recommend/movielens_slim.md","mtime":"2017-12-11T08:48:01.140Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-06-06T09:01:20.330Z"},"basePath":"..","book":{"language":""}});
+ gitbook.page.hasChanged({"page":{"title":"SLIM for fast top-k recommendation","level":"9.3.5","depth":2,"next":{"title":"10-fold cross validation (Matrix Factorization)","level":"9.3.6","depth":2,"path":"recommend/movielens_cv.md","ref":"recommend/movielens_cv.md","articles":[]},"previous":{"title":"Factorization Machine","level":"9.3.4","depth":2,"path":"recommend/movielens_fm.md","ref":"recommend/movielens_fm.md","articles":[]},"dir":"ltr"},"config":{"plugins":["theme-api","edit-link","github","splitter","sitemap","etoc","callouts","toggle-chapters","anchorjs","codeblock-filename","expandable-chapters","multipart","codeblock-filename","katex","emphasize","localized-footer"],"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"pluginsConfig":{"emphasize":{},"callouts":{},"etoc":{"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.cs
s","print":"styles/print.css"},"showLevel":true},"anchorjs":{"selector":"h1,h2,h3,*:not(.callout) > h4,h5"},"toggle-chapters":{},"expandable-chapters":{}},"theme":"default","pdf":{"pageNumbers":true,"fontSize":12,"fontFamily":"Arial","paperSize":"a4","chapterMark":"pagebreak","pageBreaksBefore":"/","margin":{"right":62,"left":62,"top":56,"bottom":56}},"structure":{"langs":"LANGS.md","readme":"README.md","glossary":"GLOSSARY.md","summary":"SUMMARY.md"},"variables":{},"title":"Hivemall User Manual","links":{"sidebar":{"<i class=\"fa fa-home\"></i> Home":"http://hivemall.incubator.apache.org/"}},"gitbook":"3.x.x","description":"User Manual for Apache Hivemall"},"file":{"path":"recommend/movielens_slim.md","mtime":"2018-08-29T08:55:00.283Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-08-31T06:54:21.013Z"},"basePath":"..","book":{"language":""}});
});
</script>
</div>
@@ -2919,7 +2985,7 @@ 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/recommend/news20.html
----------------------------------------------------------------------
diff --git a/userguide/recommend/news20.html b/userguide/recommend/news20.html
index fae45f2..4dfc986 100644
--- a/userguide/recommend/news20.html
+++ b/userguide/recommend/news20.html
@@ -861,9 +861,9 @@
- <li class="chapter " data-level="5.1" data-path="../misc/prediction.html">
+ <li class="chapter " data-level="5.1" data-path="../supervised_learning/prediction.html">
- <a href="../misc/prediction.html">
+ <a href="../supervised_learning/prediction.html">
<b>5.1.</b>
@@ -876,6 +876,21 @@
</li>
+ <li class="chapter " data-level="5.2" data-path="../supervised_learning/tutorial.html">
+
+ <a href="../supervised_learning/tutorial.html">
+
+
+ <b>5.2.</b>
+
+ Step-by-Step Tutorial on Supervised Learning
+
+ </a>
+
+
+
+ </li>
+
@@ -1228,6 +1243,57 @@
</li>
+ <li class="chapter " data-level="6.8" data-path="../binaryclass/criteo.html">
+
+ <a href="../binaryclass/criteo.html">
+
+
+ <b>6.8.</b>
+
+ Criteo Tutorial
+
+ </a>
+
+
+
+ <ul class="articles">
+
+
+ <li class="chapter " data-level="6.8.1" data-path="../binaryclass/criteo_dataset.html">
+
+ <a href="../binaryclass/criteo_dataset.html">
+
+
+ <b>6.8.1.</b>
+
+ Data preparation
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="6.8.2" data-path="../binaryclass/criteo_ffm.html">
+
+ <a href="../binaryclass/criteo_ffm.html">
+
+
+ <b>6.8.2.</b>
+
+ Field-Aware Factorization Machines
+
+ </a>
+
+
+
+ </li>
+
+
+ </ul>
+
+ </li>
+
@@ -2270,7 +2336,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
<script>
var gitbook = gitbook || [];
gitbook.push(function() {
- gitbook.page.hasChanged({"page":{"title":"News20 Related Article Recommendation Tutorial","level":"9.2","depth":1,"next":{"title":"Data preparation","level":"9.2.1","depth":2,"path":"multiclass/news20_dataset.md","ref":"multiclass/news20_dataset.md","articles":[]},"previous":{"title":"Item-based collaborative filtering","level":"9.1.1","depth":2,"path":"recommend/item_based_cf.md","ref":"recommend/item_based_cf.md","articles":[]},"dir":"ltr"},"config":{"plugins":["theme-api","edit-link","github","splitter","sitemap","etoc","callouts","toggle-chapters","anchorjs","codeblock-filename","expandable-chapters","multipart","codeblock-filename","katex","emphasize","localized-footer"],"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"pluginsConfig":{"emphasize":{},"callouts":{},"etoc":{"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.cs
s","print":"styles/print.css"},"showLevel":true},"anchorjs":{"selector":"h1,h2,h3,*:not(.callout) > h4,h5"},"toggle-chapters":{},"expandable-chapters":{}},"theme":"default","pdf":{"pageNumbers":true,"fontSize":12,"fontFamily":"Arial","paperSize":"a4","chapterMark":"pagebreak","pageBreaksBefore":"/","margin":{"right":62,"left":62,"top":56,"bottom":56}},"structure":{"langs":"LANGS.md","readme":"README.md","glossary":"GLOSSARY.md","summary":"SUMMARY.md"},"variables":{},"title":"Hivemall User Manual","links":{"sidebar":{"<i class=\"fa fa-home\"></i> Home":"http://hivemall.incubator.apache.org/"}},"gitbook":"3.x.x","description":"User Manual for Apache Hivemall"},"file":{"path":"recommend/news20.md","mtime":"2017-12-11T08:48:01.140Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-06-06T09:01:20.330Z"},"basePath":"..","book":{"language":""}});
+ gitbook.page.hasChanged({"page":{"title":"News20 Related Article Recommendation Tutorial","level":"9.2","depth":1,"next":{"title":"Data preparation","level":"9.2.1","depth":2,"path":"multiclass/news20_dataset.md","ref":"multiclass/news20_dataset.md","articles":[]},"previous":{"title":"Item-based collaborative filtering","level":"9.1.1","depth":2,"path":"recommend/item_based_cf.md","ref":"recommend/item_based_cf.md","articles":[]},"dir":"ltr"},"config":{"plugins":["theme-api","edit-link","github","splitter","sitemap","etoc","callouts","toggle-chapters","anchorjs","codeblock-filename","expandable-chapters","multipart","codeblock-filename","katex","emphasize","localized-footer"],"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"pluginsConfig":{"emphasize":{},"callouts":{},"etoc":{"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.cs
s","print":"styles/print.css"},"showLevel":true},"anchorjs":{"selector":"h1,h2,h3,*:not(.callout) > h4,h5"},"toggle-chapters":{},"expandable-chapters":{}},"theme":"default","pdf":{"pageNumbers":true,"fontSize":12,"fontFamily":"Arial","paperSize":"a4","chapterMark":"pagebreak","pageBreaksBefore":"/","margin":{"right":62,"left":62,"top":56,"bottom":56}},"structure":{"langs":"LANGS.md","readme":"README.md","glossary":"GLOSSARY.md","summary":"SUMMARY.md"},"variables":{},"title":"Hivemall User Manual","links":{"sidebar":{"<i class=\"fa fa-home\"></i> Home":"http://hivemall.incubator.apache.org/"}},"gitbook":"3.x.x","description":"User Manual for Apache Hivemall"},"file":{"path":"recommend/news20.md","mtime":"2018-08-29T08:55:00.283Z","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/recommend/news20_bbit_minhash.html
----------------------------------------------------------------------
diff --git a/userguide/recommend/news20_bbit_minhash.html b/userguide/recommend/news20_bbit_minhash.html
index 7c2383b..1c5ff76 100644
--- a/userguide/recommend/news20_bbit_minhash.html
+++ b/userguide/recommend/news20_bbit_minhash.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>
+
@@ -2360,7 +2426,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
<script>
var gitbook = gitbook || [];
gitbook.push(function() {
- gitbook.page.hasChanged({"page":{"title":"kNN search using b-Bits MinHash","level":"9.2.4","depth":2,"next":{"title":"MovieLens Movie Recommendation Tutorial","level":"9.3","depth":1,"path":"recommend/movielens.md","ref":"recommend/movielens.md","articles":[{"title":"Data preparation","level":"9.3.1","depth":2,"path":"recommend/movielens_dataset.md","ref":"recommend/movielens_dataset.md","articles":[]},{"title":"Item-based collaborative filtering","level":"9.3.2","depth":2,"path":"recommend/movielens_cf.md","ref":"recommend/movielens_cf.md","articles":[]},{"title":"Matrix Factorization","level":"9.3.3","depth":2,"path":"recommend/movielens_mf.md","ref":"recommend/movielens_mf.md","articles":[]},{"title":"Factorization Machine","level":"9.3.4","depth":2,"path":"recommend/movielens_fm.md","ref":"recommend/movielens_fm.md","articles":[]},{"title":"SLIM for fast top-k recommendation","level":"9.3.5","depth":2,"path":"recommend/movielens_slim.md","ref":"recommend/movielens_sl
im.md","articles":[]},{"title":"10-fold cross validation (Matrix Factorization)","level":"9.3.6","depth":2,"path":"recommend/movielens_cv.md","ref":"recommend/movielens_cv.md","articles":[]}]},"previous":{"title":"LSH/MinHash and brute-force search","level":"9.2.3","depth":2,"path":"recommend/news20_knn.md","ref":"recommend/news20_knn.md","articles":[]},"dir":"ltr"},"config":{"plugins":["theme-api","edit-link","github","splitter","sitemap","etoc","callouts","toggle-chapters","anchorjs","codeblock-filename","expandable-chapters","multipart","codeblock-filename","katex","emphasize","localized-footer"],"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"pluginsConfig":{"emphasize":{},"callouts":{},"etoc":{"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(.c
allout) > h4,h5"},"toggle-chapters":{},"expandable-chapters":{}},"theme":"default","pdf":{"pageNumbers":true,"fontSize":12,"fontFamily":"Arial","paperSize":"a4","chapterMark":"pagebreak","pageBreaksBefore":"/","margin":{"right":62,"left":62,"top":56,"bottom":56}},"structure":{"langs":"LANGS.md","readme":"README.md","glossary":"GLOSSARY.md","summary":"SUMMARY.md"},"variables":{},"title":"Hivemall User Manual","links":{"sidebar":{"<i class=\"fa fa-home\"></i> Home":"http://hivemall.incubator.apache.org/"}},"gitbook":"3.x.x","description":"User Manual for Apache Hivemall"},"file":{"path":"recommend/news20_bbit_minhash.md","mtime":"2017-12-11T08:48:01.140Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-06-06T09:01:20.330Z"},"basePath":"..","book":{"language":""}});
+ gitbook.page.hasChanged({"page":{"title":"kNN search using b-Bits MinHash","level":"9.2.4","depth":2,"next":{"title":"MovieLens Movie Recommendation Tutorial","level":"9.3","depth":1,"path":"recommend/movielens.md","ref":"recommend/movielens.md","articles":[{"title":"Data preparation","level":"9.3.1","depth":2,"path":"recommend/movielens_dataset.md","ref":"recommend/movielens_dataset.md","articles":[]},{"title":"Item-based collaborative filtering","level":"9.3.2","depth":2,"path":"recommend/movielens_cf.md","ref":"recommend/movielens_cf.md","articles":[]},{"title":"Matrix Factorization","level":"9.3.3","depth":2,"path":"recommend/movielens_mf.md","ref":"recommend/movielens_mf.md","articles":[]},{"title":"Factorization Machine","level":"9.3.4","depth":2,"path":"recommend/movielens_fm.md","ref":"recommend/movielens_fm.md","articles":[]},{"title":"SLIM for fast top-k recommendation","level":"9.3.5","depth":2,"path":"recommend/movielens_slim.md","ref":"recommend/movielens_sl
im.md","articles":[]},{"title":"10-fold cross validation (Matrix Factorization)","level":"9.3.6","depth":2,"path":"recommend/movielens_cv.md","ref":"recommend/movielens_cv.md","articles":[]}]},"previous":{"title":"LSH/MinHash and brute-force search","level":"9.2.3","depth":2,"path":"recommend/news20_knn.md","ref":"recommend/news20_knn.md","articles":[]},"dir":"ltr"},"config":{"plugins":["theme-api","edit-link","github","splitter","sitemap","etoc","callouts","toggle-chapters","anchorjs","codeblock-filename","expandable-chapters","multipart","codeblock-filename","katex","emphasize","localized-footer"],"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"pluginsConfig":{"emphasize":{},"callouts":{},"etoc":{"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(.c
allout) > h4,h5"},"toggle-chapters":{},"expandable-chapters":{}},"theme":"default","pdf":{"pageNumbers":true,"fontSize":12,"fontFamily":"Arial","paperSize":"a4","chapterMark":"pagebreak","pageBreaksBefore":"/","margin":{"right":62,"left":62,"top":56,"bottom":56}},"structure":{"langs":"LANGS.md","readme":"README.md","glossary":"GLOSSARY.md","summary":"SUMMARY.md"},"variables":{},"title":"Hivemall User Manual","links":{"sidebar":{"<i class=\"fa fa-home\"></i> Home":"http://hivemall.incubator.apache.org/"}},"gitbook":"3.x.x","description":"User Manual for Apache Hivemall"},"file":{"path":"recommend/news20_bbit_minhash.md","mtime":"2018-08-29T08:55:00.283Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-08-31T06:54:21.013Z"},"basePath":"..","book":{"language":""}});
});
</script>
</div>
@@ -2390,7 +2456,7 @@ 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/recommend/news20_jaccard.html
----------------------------------------------------------------------
diff --git a/userguide/recommend/news20_jaccard.html b/userguide/recommend/news20_jaccard.html
index ecf497b..ec4acba 100644
--- a/userguide/recommend/news20_jaccard.html
+++ b/userguide/recommend/news20_jaccard.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>
+
@@ -2381,7 +2447,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
<script>
var gitbook = gitbook || [];
gitbook.push(function() {
- gitbook.page.hasChanged({"page":{"title":"LSH/MinHash and Jaccard similarity","level":"9.2.2","depth":2,"next":{"title":"LSH/MinHash and brute-force search","level":"9.2.3","depth":2,"path":"recommend/news20_knn.md","ref":"recommend/news20_knn.md","articles":[]},"previous":{"title":"Data preparation","level":"9.2.1","depth":2,"path":"multiclass/news20_dataset.md","ref":"multiclass/news20_dataset.md","articles":[]},"dir":"ltr"},"config":{"plugins":["theme-api","edit-link","github","splitter","sitemap","etoc","callouts","toggle-chapters","anchorjs","codeblock-filename","expandable-chapters","multipart","codeblock-filename","katex","emphasize","localized-footer"],"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"pluginsConfig":{"emphasize":{},"callouts":{},"etoc":{"h2lb":3,"header":1,"maxdepth":3,"mindepth":1,"notoc":true},"github":{"url":"https://github.c
om/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":"styl
es/print.css"},"showLevel":true},"anchorjs":{"selector":"h1,h2,h3,*:not(.callout) > h4,h5"},"toggle-chapters":{},"expandable-chapters":{}},"theme":"default","pdf":{"pageNumbers":true,"fontSize":12,"fontFamily":"Arial","paperSize":"a4","chapterMark":"pagebreak","pageBreaksBefore":"/","margin":{"right":62,"left":62,"top":56,"bottom":56}},"structure":{"langs":"LANGS.md","readme":"README.md","glossary":"GLOSSARY.md","summary":"SUMMARY.md"},"variables":{},"title":"Hivemall User Manual","links":{"sidebar":{"<i class=\"fa fa-home\"></i> Home":"http://hivemall.incubator.apache.org/"}},"gitbook":"3.x.x","description":"User Manual for Apache Hivemall"},"file":{"path":"recommend/news20_jaccard.md","mtime":"2017-12-11T08:48:01.140Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-06-06T09:01:20.330Z"},"basePath":"..","book":{"language":""}});
+ gitbook.page.hasChanged({"page":{"title":"LSH/MinHash and Jaccard similarity","level":"9.2.2","depth":2,"next":{"title":"LSH/MinHash and brute-force search","level":"9.2.3","depth":2,"path":"recommend/news20_knn.md","ref":"recommend/news20_knn.md","articles":[]},"previous":{"title":"Data preparation","level":"9.2.1","depth":2,"path":"multiclass/news20_dataset.md","ref":"multiclass/news20_dataset.md","articles":[]},"dir":"ltr"},"config":{"plugins":["theme-api","edit-link","github","splitter","sitemap","etoc","callouts","toggle-chapters","anchorjs","codeblock-filename","expandable-chapters","multipart","codeblock-filename","katex","emphasize","localized-footer"],"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"pluginsConfig":{"emphasize":{},"callouts":{},"etoc":{"h2lb":3,"header":1,"maxdepth":3,"mindepth":1,"notoc":true},"github":{"url":"https://github.c
om/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":"styl
es/print.css"},"showLevel":true},"anchorjs":{"selector":"h1,h2,h3,*:not(.callout) > h4,h5"},"toggle-chapters":{},"expandable-chapters":{}},"theme":"default","pdf":{"pageNumbers":true,"fontSize":12,"fontFamily":"Arial","paperSize":"a4","chapterMark":"pagebreak","pageBreaksBefore":"/","margin":{"right":62,"left":62,"top":56,"bottom":56}},"structure":{"langs":"LANGS.md","readme":"README.md","glossary":"GLOSSARY.md","summary":"SUMMARY.md"},"variables":{},"title":"Hivemall User Manual","links":{"sidebar":{"<i class=\"fa fa-home\"></i> Home":"http://hivemall.incubator.apache.org/"}},"gitbook":"3.x.x","description":"User Manual for Apache Hivemall"},"file":{"path":"recommend/news20_jaccard.md","mtime":"2018-08-29T08:55:00.283Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-08-31T06:54:21.013Z"},"basePath":"..","book":{"language":""}});
});
</script>
</div>
@@ -2411,7 +2477,7 @@ 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/recommend/news20_knn.html
----------------------------------------------------------------------
diff --git a/userguide/recommend/news20_knn.html b/userguide/recommend/news20_knn.html
index 3e88fc3..082ab6c 100644
--- a/userguide/recommend/news20_knn.html
+++ b/userguide/recommend/news20_knn.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>
+
@@ -2438,7 +2504,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
<script>
var gitbook = gitbook || [];
gitbook.push(function() {
- gitbook.page.hasChanged({"page":{"title":"LSH/MinHash and brute-force search","level":"9.2.3","depth":2,"next":{"title":"kNN search using b-Bits MinHash","level":"9.2.4","depth":2,"path":"recommend/news20_bbit_minhash.md","ref":"recommend/news20_bbit_minhash.md","articles":[]},"previous":{"title":"LSH/MinHash and Jaccard similarity","level":"9.2.2","depth":2,"path":"recommend/news20_jaccard.md","ref":"recommend/news20_jaccard.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},"g
ithub":{"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":"recommend/news20_knn.md","mtime":"2017-12-11T08:48:01.140Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-06-06T09:01:20.330Z"},"basePath":"..","book":{"language":""}});
+ gitbook.page.hasChanged({"page":{"title":"LSH/MinHash and brute-force search","level":"9.2.3","depth":2,"next":{"title":"kNN search using b-Bits MinHash","level":"9.2.4","depth":2,"path":"recommend/news20_bbit_minhash.md","ref":"recommend/news20_bbit_minhash.md","articles":[]},"previous":{"title":"LSH/MinHash and Jaccard similarity","level":"9.2.2","depth":2,"path":"recommend/news20_jaccard.md","ref":"recommend/news20_jaccard.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},"g
ithub":{"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":"recommend/news20_knn.md","mtime":"2018-08-29T08:55:00.283Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-08-31T06:54:21.013Z"},"basePath":"..","book":{"language":""}});
});
</script>
</div>
@@ -2468,7 +2534,7 @@ 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>