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 2017/05/08 09:01:13 UTC
[19/19] incubator-hivemall-site git commit: Added feature binning
documentation
Added feature binning documentation
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/15b9991a
Tree: http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/tree/15b9991a
Diff: http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/diff/15b9991a
Branch: refs/heads/asf-site
Commit: 15b9991a5e1fdfd6a58761f008687386cf5d8261
Parents: ceeebce
Author: myui <yu...@gmail.com>
Authored: Mon May 8 18:00:39 2017 +0900
Committer: myui <yu...@gmail.com>
Committed: Mon May 8 18:00:39 2017 +0900
----------------------------------------------------------------------
userguide/anomaly/changefinder.html | 61 +-
userguide/anomaly/lof.html | 61 +-
userguide/anomaly/sst.html | 61 +-
userguide/binaryclass/a9a.html | 61 +-
userguide/binaryclass/a9a_dataset.html | 61 +-
userguide/binaryclass/a9a_lr.html | 61 +-
userguide/binaryclass/a9a_minibatch.html | 61 +-
userguide/binaryclass/kdd2010a.html | 61 +-
userguide/binaryclass/kdd2010a_dataset.html | 61 +-
userguide/binaryclass/kdd2010a_scw.html | 61 +-
userguide/binaryclass/kdd2010b.html | 61 +-
userguide/binaryclass/kdd2010b_arow.html | 61 +-
userguide/binaryclass/kdd2010b_dataset.html | 61 +-
userguide/binaryclass/news20.html | 61 +-
userguide/binaryclass/news20_adagrad.html | 61 +-
userguide/binaryclass/news20_dataset.html | 61 +-
userguide/binaryclass/news20_pa.html | 61 +-
userguide/binaryclass/news20_scw.html | 61 +-
userguide/binaryclass/titanic_rf.html | 61 +-
userguide/binaryclass/webspam.html | 61 +-
userguide/binaryclass/webspam_dataset.html | 61 +-
userguide/binaryclass/webspam_scw.html | 61 +-
userguide/clustering/lda.html | 61 +-
userguide/clustering/plsa.html | 61 +-
userguide/docker/getting_started.html | 69 +-
userguide/eval/auc.html | 61 +-
userguide/eval/datagen.html | 61 +-
userguide/eval/lr_datagen.html | 61 +-
userguide/eval/rank.html | 61 +-
userguide/eval/stat_eval.html | 63 +-
userguide/ft_engineering/binning.html | 2379 ++++++++++++++++++
userguide/ft_engineering/feature_selection.html | 2329 -----------------
userguide/ft_engineering/ft_trans.html | 63 +-
userguide/ft_engineering/hashing.html | 63 +-
userguide/ft_engineering/quantify.html | 65 +-
userguide/ft_engineering/scaling.html | 71 +-
userguide/ft_engineering/selection.html | 2344 +++++++++++++++++
userguide/ft_engineering/tfidf.html | 67 +-
userguide/ft_engineering/vectorization.html | 2175 ++++++++++++++++
userguide/ft_engineering/vectorizer.html | 2159 ----------------
userguide/geospatial/latlon.html | 61 +-
userguide/getting_started/index.html | 61 +-
userguide/getting_started/input-format.html | 61 +-
userguide/getting_started/installation.html | 61 +-
.../getting_started/permanent-functions.html | 61 +-
userguide/index.html | 61 +-
userguide/misc/generic_funcs.html | 61 +-
userguide/misc/tokenizer.html | 61 +-
userguide/misc/topk.html | 61 +-
userguide/multiclass/iris.html | 61 +-
userguide/multiclass/iris_dataset.html | 61 +-
userguide/multiclass/iris_randomforest.html | 61 +-
userguide/multiclass/iris_scw.html | 61 +-
userguide/multiclass/news20.html | 61 +-
userguide/multiclass/news20_dataset.html | 61 +-
userguide/multiclass/news20_ensemble.html | 61 +-
.../multiclass/news20_one-vs-the-rest.html | 61 +-
.../news20_one-vs-the-rest_dataset.html | 61 +-
userguide/multiclass/news20_pa.html | 61 +-
userguide/multiclass/news20_scw.html | 61 +-
userguide/recommend/cf.html | 61 +-
userguide/recommend/item_based_cf.html | 61 +-
userguide/recommend/movielens.html | 61 +-
userguide/recommend/movielens_cv.html | 61 +-
userguide/recommend/movielens_dataset.html | 61 +-
userguide/recommend/movielens_fm.html | 61 +-
userguide/recommend/movielens_mf.html | 61 +-
userguide/recommend/news20.html | 61 +-
userguide/recommend/news20_bbit_minhash.html | 61 +-
userguide/recommend/news20_jaccard.html | 61 +-
userguide/recommend/news20_knn.html | 61 +-
userguide/regression/e2006.html | 61 +-
userguide/regression/e2006_arow.html | 61 +-
userguide/regression/e2006_dataset.html | 61 +-
userguide/regression/kddcup12tr2.html | 61 +-
userguide/regression/kddcup12tr2_adagrad.html | 61 +-
userguide/regression/kddcup12tr2_dataset.html | 61 +-
userguide/regression/kddcup12tr2_lr.html | 61 +-
.../regression/kddcup12tr2_lr_amplify.html | 61 +-
userguide/search_index.json | 2 +-
userguide/sitemap.xml | 5 +-
userguide/spark/binaryclass/a9a_df.html | 61 +-
userguide/spark/binaryclass/index.html | 61 +-
userguide/spark/getting_started/index.html | 61 +-
.../spark/getting_started/installation.html | 61 +-
userguide/spark/misc/functions.html | 61 +-
userguide/spark/misc/misc.html | 61 +-
userguide/spark/misc/topk_join.html | 61 +-
userguide/spark/regression/e2006_df.html | 61 +-
userguide/tips/addbias.html | 61 +-
userguide/tips/emr.html | 61 +-
userguide/tips/ensemble_learning.html | 61 +-
userguide/tips/general_tips.html | 61 +-
userguide/tips/hadoop_tuning.html | 61 +-
userguide/tips/index.html | 61 +-
userguide/tips/mixserver.html | 61 +-
userguide/tips/rand_amplify.html | 61 +-
userguide/tips/rowid.html | 61 +-
userguide/tips/rt_prediction.html | 61 +-
userguide/troubleshooting/asterisk.html | 61 +-
userguide/troubleshooting/index.html | 61 +-
.../troubleshooting/mapjoin_classcastex.html | 61 +-
.../troubleshooting/mapjoin_task_error.html | 61 +-
userguide/troubleshooting/num_mappers.html | 61 +-
userguide/troubleshooting/oom.html | 61 +-
105 files changed, 10648 insertions(+), 6757 deletions(-)
----------------------------------------------------------------------
http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/15b9991a/userguide/anomaly/changefinder.html
----------------------------------------------------------------------
diff --git a/userguide/anomaly/changefinder.html b/userguide/anomaly/changefinder.html
index 93449fe..df18423 100644
--- a/userguide/anomaly/changefinder.html
+++ b/userguide/anomaly/changefinder.html
@@ -568,14 +568,14 @@
</li>
- <li class="chapter " data-level="3.3" data-path="../ft_engineering/tfidf.html">
+ <li class="chapter " data-level="3.3" data-path="../ft_engineering/selection.html">
- <a href="../ft_engineering/tfidf.html">
+ <a href="../ft_engineering/selection.html">
<b>3.3.</b>
- TF-IDF calculation
+ Feature Selection
</a>
@@ -583,30 +583,29 @@
</li>
- <li class="chapter " data-level="3.4" data-path="../ft_engineering/ft_trans.html">
+ <li class="chapter " data-level="3.4" data-path="../ft_engineering/binning.html">
- <a href="../ft_engineering/ft_trans.html">
+ <a href="../ft_engineering/binning.html">
<b>3.4.</b>
- FEATURE TRANSFORMATION
+ Feature Binning
</a>
- <ul class="articles">
-
+ </li>
- <li class="chapter " data-level="3.4.1" data-path="../ft_engineering/vectorizer.html">
+ <li class="chapter " data-level="3.5" data-path="../ft_engineering/tfidf.html">
- <a href="../ft_engineering/vectorizer.html">
+ <a href="../ft_engineering/tfidf.html">
- <b>3.4.1.</b>
+ <b>3.5.</b>
- Vectorize Features
+ TF-IDF Calculation
</a>
@@ -614,34 +613,45 @@
</li>
- <li class="chapter " data-level="3.4.2" data-path="../ft_engineering/quantify.html">
+ <li class="chapter " data-level="3.6" data-path="../ft_engineering/ft_trans.html">
- <a href="../ft_engineering/quantify.html">
+ <a href="../ft_engineering/ft_trans.html">
- <b>3.4.2.</b>
+ <b>3.6.</b>
- Quantify non-number features
+ FEATURE TRANSFORMATION
</a>
- </li>
+ <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>
+
- </ul>
</li>
- <li class="chapter " data-level="3.5" data-path="../ft_engineering/feature_selection.html">
+ <li class="chapter " data-level="3.6.2" data-path="../ft_engineering/quantify.html">
- <a href="../ft_engineering/feature_selection.html">
+ <a href="../ft_engineering/quantify.html">
- <b>3.5.</b>
+ <b>3.6.2.</b>
- Feature selection
+ Quantify non-number features
</a>
@@ -650,6 +660,11 @@
</li>
+ </ul>
+
+ </li>
+
+
<li class="header">Part IV - Evaluation</li>
@@ -2238,7 +2253,7 @@ 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":"9.3","depth":1,"next":{"title":"Latent Dirichlet Allocation","level":"10.1","depth":1,"path":"clustering/lda.md","ref":"clustering/lda.md","articles":[]},"previous":{"title":"Change-Point Detection using Singular Spectrum Transformation (SST)","level":"9.2","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":{"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"},"lunr":{"maxIndexSize":1000000,"ignoreSpecialCharacters":false},"katex":{},"fontsettings":{"theme":"white","family":"sans","size":2,"font":"sans"},"highlight":{},"codeblock-filename":{},"sitemap":{"hostname":"http://hivemall.incubator.apache.org/"},"theme-api":{"languages":[],"split":false,"theme":"dark"},"sharing":{"facebook":true,"twitter":true,"google":false,"weibo":false,"instapaper":false,"vk":false,"all":["facebook","google","twitter","weibo","instapaper"]},"edit-link":{"label":"Edit","base":"https://github.com/apache/incubator-hivemall/docs/gitbook"},"theme-default":{"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print
.css"},"showLevel":true},"anchorjs":{"selector":"h1,h2,h3,*:not(.callout) > h4,h5"},"toggle-chapters":{},"expandable-chapters":{}},"theme":"default","pdf":{"pageNumbers":true,"fontSize":12,"fontFamily":"Arial","paperSize":"a4","chapterMark":"pagebreak","pageBreaksBefore":"/","margin":{"right":62,"left":62,"top":56,"bottom":56}},"structure":{"langs":"LANGS.md","readme":"README.md","glossary":"GLOSSARY.md","summary":"SUMMARY.md"},"variables":{},"title":"Hivemall User Manual","links":{"sidebar":{"<i class=\"fa fa-home\"></i> Home":"http://hivemall.incubator.apache.org/"}},"gitbook":"3.x.x","description":"User Manual for Apache Hivemall"},"file":{"path":"anomaly/changefinder.md","mtime":"2017-02-08T09:17:59.000Z","type":"markdown"},"gitbook":{"version":"3.2.2","time":"2017-04-27T13:49:22.144Z"},"basePath":"..","book":{"language":""}});
+ gitbook.page.hasChanged({"page":{"title":"ChangeFinder: Detecting Outlier and Change-Point Simultaneously","level":"9.3","depth":1,"next":{"title":"Latent Dirichlet Allocation","level":"10.1","depth":1,"path":"clustering/lda.md","ref":"clustering/lda.md","articles":[]},"previous":{"title":"Change-Point Detection using Singular Spectrum Transformation (SST)","level":"9.2","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":{"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"},"lunr":{"maxIndexSize":1000000,"ignoreSpecialCharacters":false},"katex":{},"fontsettings":{"theme":"white","family":"sans","size":2,"font":"sans"},"highlight":{},"codeblock-filename":{},"sitemap":{"hostname":"http://hivemall.incubator.apache.org/"},"theme-api":{"languages":[],"split":false,"theme":"dark"},"sharing":{"facebook":true,"twitter":true,"google":false,"weibo":false,"instapaper":false,"vk":false,"all":["facebook","google","twitter","weibo","instapaper"]},"edit-link":{"label":"Edit","base":"https://github.com/apache/incubator-hivemall/docs/gitbook"},"theme-default":{"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print
.css"},"showLevel":true},"anchorjs":{"selector":"h1,h2,h3,*:not(.callout) > h4,h5"},"toggle-chapters":{},"expandable-chapters":{}},"theme":"default","pdf":{"pageNumbers":true,"fontSize":12,"fontFamily":"Arial","paperSize":"a4","chapterMark":"pagebreak","pageBreaksBefore":"/","margin":{"right":62,"left":62,"top":56,"bottom":56}},"structure":{"langs":"LANGS.md","readme":"README.md","glossary":"GLOSSARY.md","summary":"SUMMARY.md"},"variables":{},"title":"Hivemall User Manual","links":{"sidebar":{"<i class=\"fa fa-home\"></i> Home":"http://hivemall.incubator.apache.org/"}},"gitbook":"3.x.x","description":"User Manual for Apache Hivemall"},"file":{"path":"anomaly/changefinder.md","mtime":"2017-02-08T09:17:59.000Z","type":"markdown"},"gitbook":{"version":"3.2.2","time":"2017-05-08T08:42:42.226Z"},"basePath":"..","book":{"language":""}});
});
</script>
</div>
http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/15b9991a/userguide/anomaly/lof.html
----------------------------------------------------------------------
diff --git a/userguide/anomaly/lof.html b/userguide/anomaly/lof.html
index 4e64061..e20adce 100644
--- a/userguide/anomaly/lof.html
+++ b/userguide/anomaly/lof.html
@@ -568,14 +568,14 @@
</li>
- <li class="chapter " data-level="3.3" data-path="../ft_engineering/tfidf.html">
+ <li class="chapter " data-level="3.3" data-path="../ft_engineering/selection.html">
- <a href="../ft_engineering/tfidf.html">
+ <a href="../ft_engineering/selection.html">
<b>3.3.</b>
- TF-IDF calculation
+ Feature Selection
</a>
@@ -583,30 +583,29 @@
</li>
- <li class="chapter " data-level="3.4" data-path="../ft_engineering/ft_trans.html">
+ <li class="chapter " data-level="3.4" data-path="../ft_engineering/binning.html">
- <a href="../ft_engineering/ft_trans.html">
+ <a href="../ft_engineering/binning.html">
<b>3.4.</b>
- FEATURE TRANSFORMATION
+ Feature Binning
</a>
- <ul class="articles">
-
+ </li>
- <li class="chapter " data-level="3.4.1" data-path="../ft_engineering/vectorizer.html">
+ <li class="chapter " data-level="3.5" data-path="../ft_engineering/tfidf.html">
- <a href="../ft_engineering/vectorizer.html">
+ <a href="../ft_engineering/tfidf.html">
- <b>3.4.1.</b>
+ <b>3.5.</b>
- Vectorize Features
+ TF-IDF Calculation
</a>
@@ -614,34 +613,45 @@
</li>
- <li class="chapter " data-level="3.4.2" data-path="../ft_engineering/quantify.html">
+ <li class="chapter " data-level="3.6" data-path="../ft_engineering/ft_trans.html">
- <a href="../ft_engineering/quantify.html">
+ <a href="../ft_engineering/ft_trans.html">
- <b>3.4.2.</b>
+ <b>3.6.</b>
- Quantify non-number features
+ FEATURE TRANSFORMATION
</a>
- </li>
+ <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>
+
- </ul>
</li>
- <li class="chapter " data-level="3.5" data-path="../ft_engineering/feature_selection.html">
+ <li class="chapter " data-level="3.6.2" data-path="../ft_engineering/quantify.html">
- <a href="../ft_engineering/feature_selection.html">
+ <a href="../ft_engineering/quantify.html">
- <b>3.5.</b>
+ <b>3.6.2.</b>
- Feature selection
+ Quantify non-number features
</a>
@@ -650,6 +660,11 @@
</li>
+ </ul>
+
+ </li>
+
+
<li class="header">Part IV - Evaluation</li>
@@ -2216,7 +2231,7 @@ 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":"9.1","depth":1,"next":{"title":"Change-Point Detection using Singular Spectrum Transformation (SST)","level":"9.2","depth":1,"path":"anomaly/sst.md","ref":"anomaly/sst.md","articles":[]},"previous":{"title":"10-fold Cross Validation (Matrix Factorization)","level":"8.3.4","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":{"header":1,"maxdepth":3,"mindepth":1,"not
oc":true},"github":{"url":"https://github.com/apache/incubator-hivemall/"},"splitter":{},"search":{},"downloadpdf":{"base":"https://github.com/apache/incubator-hivemall/docs/gitbook","label":"PDF","multilingual":false},"multipart":{},"localized-footer":{"filename":"FOOTER.md"},"lunr":{"maxIndexSize":1000000,"ignoreSpecialCharacters":false},"katex":{},"fontsettings":{"theme":"white","family":"sans","size":2,"font":"sans"},"highlight":{},"codeblock-filename":{},"sitemap":{"hostname":"http://hivemall.incubator.apache.org/"},"theme-api":{"languages":[],"split":false,"theme":"dark"},"sharing":{"facebook":true,"twitter":true,"google":false,"weibo":false,"instapaper":false,"vk":false,"all":["facebook","google","twitter","weibo","instapaper"]},"edit-link":{"label":"Edit","base":"https://github.com/apache/incubator-hivemall/docs/gitbook"},"theme-default":{"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.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":"anomaly/lof.md","mtime":"2017-02-08T09:17:59.000Z","type":"markdown"},"gitbook":{"version":"3.2.2","time":"2017-04-27T13:49:22.144Z"},"basePath":"..","book":{"language":""}});
+ gitbook.page.hasChanged({"page":{"title":"Outlier Detection using Local Outlier Factor (LOF)","level":"9.1","depth":1,"next":{"title":"Change-Point Detection using Singular Spectrum Transformation (SST)","level":"9.2","depth":1,"path":"anomaly/sst.md","ref":"anomaly/sst.md","articles":[]},"previous":{"title":"10-fold Cross Validation (Matrix Factorization)","level":"8.3.4","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":{"header":1,"maxdepth":3,"mindepth":1,"not
oc":true},"github":{"url":"https://github.com/apache/incubator-hivemall/"},"splitter":{},"search":{},"downloadpdf":{"base":"https://github.com/apache/incubator-hivemall/docs/gitbook","label":"PDF","multilingual":false},"multipart":{},"localized-footer":{"filename":"FOOTER.md"},"lunr":{"maxIndexSize":1000000,"ignoreSpecialCharacters":false},"katex":{},"fontsettings":{"theme":"white","family":"sans","size":2,"font":"sans"},"highlight":{},"codeblock-filename":{},"sitemap":{"hostname":"http://hivemall.incubator.apache.org/"},"theme-api":{"languages":[],"split":false,"theme":"dark"},"sharing":{"facebook":true,"twitter":true,"google":false,"weibo":false,"instapaper":false,"vk":false,"all":["facebook","google","twitter","weibo","instapaper"]},"edit-link":{"label":"Edit","base":"https://github.com/apache/incubator-hivemall/docs/gitbook"},"theme-default":{"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.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":"anomaly/lof.md","mtime":"2017-02-08T09:17:59.000Z","type":"markdown"},"gitbook":{"version":"3.2.2","time":"2017-05-08T08:42:42.226Z"},"basePath":"..","book":{"language":""}});
});
</script>
</div>
http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/15b9991a/userguide/anomaly/sst.html
----------------------------------------------------------------------
diff --git a/userguide/anomaly/sst.html b/userguide/anomaly/sst.html
index e3f7a0f..a5589e7 100644
--- a/userguide/anomaly/sst.html
+++ b/userguide/anomaly/sst.html
@@ -568,14 +568,14 @@
</li>
- <li class="chapter " data-level="3.3" data-path="../ft_engineering/tfidf.html">
+ <li class="chapter " data-level="3.3" data-path="../ft_engineering/selection.html">
- <a href="../ft_engineering/tfidf.html">
+ <a href="../ft_engineering/selection.html">
<b>3.3.</b>
- TF-IDF calculation
+ Feature Selection
</a>
@@ -583,30 +583,29 @@
</li>
- <li class="chapter " data-level="3.4" data-path="../ft_engineering/ft_trans.html">
+ <li class="chapter " data-level="3.4" data-path="../ft_engineering/binning.html">
- <a href="../ft_engineering/ft_trans.html">
+ <a href="../ft_engineering/binning.html">
<b>3.4.</b>
- FEATURE TRANSFORMATION
+ Feature Binning
</a>
- <ul class="articles">
-
+ </li>
- <li class="chapter " data-level="3.4.1" data-path="../ft_engineering/vectorizer.html">
+ <li class="chapter " data-level="3.5" data-path="../ft_engineering/tfidf.html">
- <a href="../ft_engineering/vectorizer.html">
+ <a href="../ft_engineering/tfidf.html">
- <b>3.4.1.</b>
+ <b>3.5.</b>
- Vectorize Features
+ TF-IDF Calculation
</a>
@@ -614,34 +613,45 @@
</li>
- <li class="chapter " data-level="3.4.2" data-path="../ft_engineering/quantify.html">
+ <li class="chapter " data-level="3.6" data-path="../ft_engineering/ft_trans.html">
- <a href="../ft_engineering/quantify.html">
+ <a href="../ft_engineering/ft_trans.html">
- <b>3.4.2.</b>
+ <b>3.6.</b>
- Quantify non-number features
+ FEATURE TRANSFORMATION
</a>
- </li>
+ <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>
+
- </ul>
</li>
- <li class="chapter " data-level="3.5" data-path="../ft_engineering/feature_selection.html">
+ <li class="chapter " data-level="3.6.2" data-path="../ft_engineering/quantify.html">
- <a href="../ft_engineering/feature_selection.html">
+ <a href="../ft_engineering/quantify.html">
- <b>3.5.</b>
+ <b>3.6.2.</b>
- Feature selection
+ Quantify non-number features
</a>
@@ -650,6 +660,11 @@
</li>
+ </ul>
+
+ </li>
+
+
<li class="header">Part IV - Evaluation</li>
@@ -2224,7 +2239,7 @@ 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":"9.2","depth":1,"next":{"title":"ChangeFinder: Detecting Outlier and Change-Point Simultaneously","level":"9.3","depth":1,"path":"anomaly/changefinder.md","ref":"anomaly/changefinder.md","articles":[]},"previous":{"title":"Outlier Detection using Local Outlier Factor (LOF)","level":"9.1","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":{"header":1,"maxdepth":3,"mindep
th":1,"notoc":true},"github":{"url":"https://github.com/apache/incubator-hivemall/"},"splitter":{},"search":{},"downloadpdf":{"base":"https://github.com/apache/incubator-hivemall/docs/gitbook","label":"PDF","multilingual":false},"multipart":{},"localized-footer":{"filename":"FOOTER.md"},"lunr":{"maxIndexSize":1000000,"ignoreSpecialCharacters":false},"katex":{},"fontsettings":{"theme":"white","family":"sans","size":2,"font":"sans"},"highlight":{},"codeblock-filename":{},"sitemap":{"hostname":"http://hivemall.incubator.apache.org/"},"theme-api":{"languages":[],"split":false,"theme":"dark"},"sharing":{"facebook":true,"twitter":true,"google":false,"weibo":false,"instapaper":false,"vk":false,"all":["facebook","google","twitter","weibo","instapaper"]},"edit-link":{"label":"Edit","base":"https://github.com/apache/incubator-hivemall/docs/gitbook"},"theme-default":{"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"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":"anomaly/sst.md","mtime":"2017-02-08T09:17:59.000Z","type":"markdown"},"gitbook":{"version":"3.2.2","time":"2017-04-27T13:49:22.144Z"},"basePath":"..","book":{"language":""}});
+ gitbook.page.hasChanged({"page":{"title":"Change-Point Detection using Singular Spectrum Transformation (SST)","level":"9.2","depth":1,"next":{"title":"ChangeFinder: Detecting Outlier and Change-Point Simultaneously","level":"9.3","depth":1,"path":"anomaly/changefinder.md","ref":"anomaly/changefinder.md","articles":[]},"previous":{"title":"Outlier Detection using Local Outlier Factor (LOF)","level":"9.1","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":{"header":1,"maxdepth":3,"mindep
th":1,"notoc":true},"github":{"url":"https://github.com/apache/incubator-hivemall/"},"splitter":{},"search":{},"downloadpdf":{"base":"https://github.com/apache/incubator-hivemall/docs/gitbook","label":"PDF","multilingual":false},"multipart":{},"localized-footer":{"filename":"FOOTER.md"},"lunr":{"maxIndexSize":1000000,"ignoreSpecialCharacters":false},"katex":{},"fontsettings":{"theme":"white","family":"sans","size":2,"font":"sans"},"highlight":{},"codeblock-filename":{},"sitemap":{"hostname":"http://hivemall.incubator.apache.org/"},"theme-api":{"languages":[],"split":false,"theme":"dark"},"sharing":{"facebook":true,"twitter":true,"google":false,"weibo":false,"instapaper":false,"vk":false,"all":["facebook","google","twitter","weibo","instapaper"]},"edit-link":{"label":"Edit","base":"https://github.com/apache/incubator-hivemall/docs/gitbook"},"theme-default":{"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"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":"anomaly/sst.md","mtime":"2017-02-08T09:17:59.000Z","type":"markdown"},"gitbook":{"version":"3.2.2","time":"2017-05-08T08:42:42.226Z"},"basePath":"..","book":{"language":""}});
});
</script>
</div>
http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/15b9991a/userguide/binaryclass/a9a.html
----------------------------------------------------------------------
diff --git a/userguide/binaryclass/a9a.html b/userguide/binaryclass/a9a.html
index ab785a6..d747d2d 100644
--- a/userguide/binaryclass/a9a.html
+++ b/userguide/binaryclass/a9a.html
@@ -568,14 +568,14 @@
</li>
- <li class="chapter " data-level="3.3" data-path="../ft_engineering/tfidf.html">
+ <li class="chapter " data-level="3.3" data-path="../ft_engineering/selection.html">
- <a href="../ft_engineering/tfidf.html">
+ <a href="../ft_engineering/selection.html">
<b>3.3.</b>
- TF-IDF calculation
+ Feature Selection
</a>
@@ -583,30 +583,29 @@
</li>
- <li class="chapter " data-level="3.4" data-path="../ft_engineering/ft_trans.html">
+ <li class="chapter " data-level="3.4" data-path="../ft_engineering/binning.html">
- <a href="../ft_engineering/ft_trans.html">
+ <a href="../ft_engineering/binning.html">
<b>3.4.</b>
- FEATURE TRANSFORMATION
+ Feature Binning
</a>
- <ul class="articles">
-
+ </li>
- <li class="chapter " data-level="3.4.1" data-path="../ft_engineering/vectorizer.html">
+ <li class="chapter " data-level="3.5" data-path="../ft_engineering/tfidf.html">
- <a href="../ft_engineering/vectorizer.html">
+ <a href="../ft_engineering/tfidf.html">
- <b>3.4.1.</b>
+ <b>3.5.</b>
- Vectorize Features
+ TF-IDF Calculation
</a>
@@ -614,34 +613,45 @@
</li>
- <li class="chapter " data-level="3.4.2" data-path="../ft_engineering/quantify.html">
+ <li class="chapter " data-level="3.6" data-path="../ft_engineering/ft_trans.html">
- <a href="../ft_engineering/quantify.html">
+ <a href="../ft_engineering/ft_trans.html">
- <b>3.4.2.</b>
+ <b>3.6.</b>
- Quantify non-number features
+ FEATURE TRANSFORMATION
</a>
- </li>
+ <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>
+
- </ul>
</li>
- <li class="chapter " data-level="3.5" data-path="../ft_engineering/feature_selection.html">
+ <li class="chapter " data-level="3.6.2" data-path="../ft_engineering/quantify.html">
- <a href="../ft_engineering/feature_selection.html">
+ <a href="../ft_engineering/quantify.html">
- <b>3.5.</b>
+ <b>3.6.2.</b>
- Feature selection
+ Quantify non-number features
</a>
@@ -650,6 +660,11 @@
</li>
+ </ul>
+
+ </li>
+
+
<li class="header">Part IV - Evaluation</li>
@@ -2047,7 +2062,7 @@ 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":"5.1","depth":1,"next":{"title":"Data preparation","level":"5.1.1","depth":2,"path":"binaryclass/a9a_dataset.md","ref":"binaryclass/a9a_dataset.md","articles":[]},"previous":{"title":"Logistic Regression data generation","level":"4.3.1","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":{"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"},"lunr":{"maxIndexSize":1000000,"ignoreSpecialCharacters":false},"katex":{},"fontsettings":{"theme":"white","family":"sans","size":2,"font":"sans"},"highlight":{},"codeblock-filename":{},"sitemap":{"hostname":"http://hivemall.incubator.apache.org/"},"theme-api":{"languages":[],"split":false,"theme":"dark"},"sharing":{"facebook":true,"twitter":true,"google":false,"weibo":false,"instapaper":false,"vk":false,"all":["facebook","google","twitter","weibo","instapaper"]},"edit-link":{"label":"Edit","base":"https://github.com/apache/incubator-hivemall/docs/gitbook"},"theme-default":{"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"showLevel":true},"anchorjs":{"selector":"h1,h2,h3,*:not(.
callout) > h4,h5"},"toggle-chapters":{},"expandable-chapters":{}},"theme":"default","pdf":{"pageNumbers":true,"fontSize":12,"fontFamily":"Arial","paperSize":"a4","chapterMark":"pagebreak","pageBreaksBefore":"/","margin":{"right":62,"left":62,"top":56,"bottom":56}},"structure":{"langs":"LANGS.md","readme":"README.md","glossary":"GLOSSARY.md","summary":"SUMMARY.md"},"variables":{},"title":"Hivemall User Manual","links":{"sidebar":{"<i class=\"fa fa-home\"></i> Home":"http://hivemall.incubator.apache.org/"}},"gitbook":"3.x.x","description":"User Manual for Apache Hivemall"},"file":{"path":"binaryclass/a9a.md","mtime":"2016-12-02T08:02:42.000Z","type":"markdown"},"gitbook":{"version":"3.2.2","time":"2017-04-27T13:49:22.144Z"},"basePath":"..","book":{"language":""}});
+ gitbook.page.hasChanged({"page":{"title":"a9a Tutorial","level":"5.1","depth":1,"next":{"title":"Data preparation","level":"5.1.1","depth":2,"path":"binaryclass/a9a_dataset.md","ref":"binaryclass/a9a_dataset.md","articles":[]},"previous":{"title":"Logistic Regression data generation","level":"4.3.1","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":{"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"},"lunr":{"maxIndexSize":1000000,"ignoreSpecialCharacters":false},"katex":{},"fontsettings":{"theme":"white","family":"sans","size":2,"font":"sans"},"highlight":{},"codeblock-filename":{},"sitemap":{"hostname":"http://hivemall.incubator.apache.org/"},"theme-api":{"languages":[],"split":false,"theme":"dark"},"sharing":{"facebook":true,"twitter":true,"google":false,"weibo":false,"instapaper":false,"vk":false,"all":["facebook","google","twitter","weibo","instapaper"]},"edit-link":{"label":"Edit","base":"https://github.com/apache/incubator-hivemall/docs/gitbook"},"theme-default":{"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"showLevel":true},"anchorjs":{"selector":"h1,h2,h3,*:not(.
callout) > h4,h5"},"toggle-chapters":{},"expandable-chapters":{}},"theme":"default","pdf":{"pageNumbers":true,"fontSize":12,"fontFamily":"Arial","paperSize":"a4","chapterMark":"pagebreak","pageBreaksBefore":"/","margin":{"right":62,"left":62,"top":56,"bottom":56}},"structure":{"langs":"LANGS.md","readme":"README.md","glossary":"GLOSSARY.md","summary":"SUMMARY.md"},"variables":{},"title":"Hivemall User Manual","links":{"sidebar":{"<i class=\"fa fa-home\"></i> Home":"http://hivemall.incubator.apache.org/"}},"gitbook":"3.x.x","description":"User Manual for Apache Hivemall"},"file":{"path":"binaryclass/a9a.md","mtime":"2016-12-02T08:02:42.000Z","type":"markdown"},"gitbook":{"version":"3.2.2","time":"2017-05-08T08:42:42.226Z"},"basePath":"..","book":{"language":""}});
});
</script>
</div>
http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/15b9991a/userguide/binaryclass/a9a_dataset.html
----------------------------------------------------------------------
diff --git a/userguide/binaryclass/a9a_dataset.html b/userguide/binaryclass/a9a_dataset.html
index 4f231c9..414112c 100644
--- a/userguide/binaryclass/a9a_dataset.html
+++ b/userguide/binaryclass/a9a_dataset.html
@@ -568,14 +568,14 @@
</li>
- <li class="chapter " data-level="3.3" data-path="../ft_engineering/tfidf.html">
+ <li class="chapter " data-level="3.3" data-path="../ft_engineering/selection.html">
- <a href="../ft_engineering/tfidf.html">
+ <a href="../ft_engineering/selection.html">
<b>3.3.</b>
- TF-IDF calculation
+ Feature Selection
</a>
@@ -583,30 +583,29 @@
</li>
- <li class="chapter " data-level="3.4" data-path="../ft_engineering/ft_trans.html">
+ <li class="chapter " data-level="3.4" data-path="../ft_engineering/binning.html">
- <a href="../ft_engineering/ft_trans.html">
+ <a href="../ft_engineering/binning.html">
<b>3.4.</b>
- FEATURE TRANSFORMATION
+ Feature Binning
</a>
- <ul class="articles">
-
+ </li>
- <li class="chapter " data-level="3.4.1" data-path="../ft_engineering/vectorizer.html">
+ <li class="chapter " data-level="3.5" data-path="../ft_engineering/tfidf.html">
- <a href="../ft_engineering/vectorizer.html">
+ <a href="../ft_engineering/tfidf.html">
- <b>3.4.1.</b>
+ <b>3.5.</b>
- Vectorize Features
+ TF-IDF Calculation
</a>
@@ -614,34 +613,45 @@
</li>
- <li class="chapter " data-level="3.4.2" data-path="../ft_engineering/quantify.html">
+ <li class="chapter " data-level="3.6" data-path="../ft_engineering/ft_trans.html">
- <a href="../ft_engineering/quantify.html">
+ <a href="../ft_engineering/ft_trans.html">
- <b>3.4.2.</b>
+ <b>3.6.</b>
- Quantify non-number features
+ FEATURE TRANSFORMATION
</a>
- </li>
+ <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>
+
- </ul>
</li>
- <li class="chapter " data-level="3.5" data-path="../ft_engineering/feature_selection.html">
+ <li class="chapter " data-level="3.6.2" data-path="../ft_engineering/quantify.html">
- <a href="../ft_engineering/feature_selection.html">
+ <a href="../ft_engineering/quantify.html">
- <b>3.5.</b>
+ <b>3.6.2.</b>
- Feature selection
+ Quantify non-number features
</a>
@@ -650,6 +660,11 @@
</li>
+ </ul>
+
+ </li>
+
+
<li class="header">Part IV - Evaluation</li>
@@ -2077,7 +2092,7 @@ 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":"5.1.1","depth":2,"next":{"title":"Logistic Regression","level":"5.1.2","depth":2,"path":"binaryclass/a9a_lr.md","ref":"binaryclass/a9a_lr.md","articles":[]},"previous":{"title":"a9a Tutorial","level":"5.1","depth":1,"path":"binaryclass/a9a.md","ref":"binaryclass/a9a.md","articles":[{"title":"Data preparation","level":"5.1.1","depth":2,"path":"binaryclass/a9a_dataset.md","ref":"binaryclass/a9a_dataset.md","articles":[]},{"title":"Logistic Regression","level":"5.1.2","depth":2,"path":"binaryclass/a9a_lr.md","ref":"binaryclass/a9a_lr.md","articles":[]},{"title":"Mini-batch Gradient Descent","level":"5.1.3","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":{"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"},"lunr":{"maxIndexSize":1000000,"ignoreSpecialCharacters":false},"katex":{},"fontsettings":{"theme":"white","family":"sans","size":2,"font":"sans"},"highlight":{},"codeblock-filename":{},"sitemap":{"hostname":"http://hivemall.incubator.apache.org/"},"theme-api":{"languages":[],"split":false,"theme":"dark"},"sharing":{"facebook":true,"twitter":true,"google":false,"weibo":false,"instapaper":false,"vk":false
,"all":["facebook","google","twitter","weibo","instapaper"]},"edit-link":{"label":"Edit","base":"https://github.com/apache/incubator-hivemall/docs/gitbook"},"theme-default":{"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"showLevel":true},"anchorjs":{"selector":"h1,h2,h3,*:not(.callout) > h4,h5"},"toggle-chapters":{},"expandable-chapters":{}},"theme":"default","pdf":{"pageNumbers":true,"fontSize":12,"fontFamily":"Arial","paperSize":"a4","chapterMark":"pagebreak","pageBreaksBefore":"/","margin":{"right":62,"left":62,"top":56,"bottom":56}},"structure":{"langs":"LANGS.md","readme":"README.md","glossary":"GLOSSARY.md","summary":"SUMMARY.md"},"variables":{},"title":"Hivemall User Manual","links":{"sidebar":{"<i class=\"fa fa-home\"></i> Home":"http://hivemall.incubator.apache.org/"}},"gitbook":"3.x.x","description":"User Manual for Apache Hivemall"},"file":{"path":"bi
naryclass/a9a_dataset.md","mtime":"2016-12-02T08:02:42.000Z","type":"markdown"},"gitbook":{"version":"3.2.2","time":"2017-04-27T13:49:22.144Z"},"basePath":"..","book":{"language":""}});
+ gitbook.page.hasChanged({"page":{"title":"Data preparation","level":"5.1.1","depth":2,"next":{"title":"Logistic Regression","level":"5.1.2","depth":2,"path":"binaryclass/a9a_lr.md","ref":"binaryclass/a9a_lr.md","articles":[]},"previous":{"title":"a9a Tutorial","level":"5.1","depth":1,"path":"binaryclass/a9a.md","ref":"binaryclass/a9a.md","articles":[{"title":"Data preparation","level":"5.1.1","depth":2,"path":"binaryclass/a9a_dataset.md","ref":"binaryclass/a9a_dataset.md","articles":[]},{"title":"Logistic Regression","level":"5.1.2","depth":2,"path":"binaryclass/a9a_lr.md","ref":"binaryclass/a9a_lr.md","articles":[]},{"title":"Mini-batch Gradient Descent","level":"5.1.3","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":{"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"},"lunr":{"maxIndexSize":1000000,"ignoreSpecialCharacters":false},"katex":{},"fontsettings":{"theme":"white","family":"sans","size":2,"font":"sans"},"highlight":{},"codeblock-filename":{},"sitemap":{"hostname":"http://hivemall.incubator.apache.org/"},"theme-api":{"languages":[],"split":false,"theme":"dark"},"sharing":{"facebook":true,"twitter":true,"google":false,"weibo":false,"instapaper":false,"vk":false
,"all":["facebook","google","twitter","weibo","instapaper"]},"edit-link":{"label":"Edit","base":"https://github.com/apache/incubator-hivemall/docs/gitbook"},"theme-default":{"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"showLevel":true},"anchorjs":{"selector":"h1,h2,h3,*:not(.callout) > h4,h5"},"toggle-chapters":{},"expandable-chapters":{}},"theme":"default","pdf":{"pageNumbers":true,"fontSize":12,"fontFamily":"Arial","paperSize":"a4","chapterMark":"pagebreak","pageBreaksBefore":"/","margin":{"right":62,"left":62,"top":56,"bottom":56}},"structure":{"langs":"LANGS.md","readme":"README.md","glossary":"GLOSSARY.md","summary":"SUMMARY.md"},"variables":{},"title":"Hivemall User Manual","links":{"sidebar":{"<i class=\"fa fa-home\"></i> Home":"http://hivemall.incubator.apache.org/"}},"gitbook":"3.x.x","description":"User Manual for Apache Hivemall"},"file":{"path":"bi
naryclass/a9a_dataset.md","mtime":"2016-12-02T08:02:42.000Z","type":"markdown"},"gitbook":{"version":"3.2.2","time":"2017-05-08T08:42:42.226Z"},"basePath":"..","book":{"language":""}});
});
</script>
</div>
http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/15b9991a/userguide/binaryclass/a9a_lr.html
----------------------------------------------------------------------
diff --git a/userguide/binaryclass/a9a_lr.html b/userguide/binaryclass/a9a_lr.html
index 37977ff..05af423 100644
--- a/userguide/binaryclass/a9a_lr.html
+++ b/userguide/binaryclass/a9a_lr.html
@@ -568,14 +568,14 @@
</li>
- <li class="chapter " data-level="3.3" data-path="../ft_engineering/tfidf.html">
+ <li class="chapter " data-level="3.3" data-path="../ft_engineering/selection.html">
- <a href="../ft_engineering/tfidf.html">
+ <a href="../ft_engineering/selection.html">
<b>3.3.</b>
- TF-IDF calculation
+ Feature Selection
</a>
@@ -583,30 +583,29 @@
</li>
- <li class="chapter " data-level="3.4" data-path="../ft_engineering/ft_trans.html">
+ <li class="chapter " data-level="3.4" data-path="../ft_engineering/binning.html">
- <a href="../ft_engineering/ft_trans.html">
+ <a href="../ft_engineering/binning.html">
<b>3.4.</b>
- FEATURE TRANSFORMATION
+ Feature Binning
</a>
- <ul class="articles">
-
+ </li>
- <li class="chapter " data-level="3.4.1" data-path="../ft_engineering/vectorizer.html">
+ <li class="chapter " data-level="3.5" data-path="../ft_engineering/tfidf.html">
- <a href="../ft_engineering/vectorizer.html">
+ <a href="../ft_engineering/tfidf.html">
- <b>3.4.1.</b>
+ <b>3.5.</b>
- Vectorize Features
+ TF-IDF Calculation
</a>
@@ -614,34 +613,45 @@
</li>
- <li class="chapter " data-level="3.4.2" data-path="../ft_engineering/quantify.html">
+ <li class="chapter " data-level="3.6" data-path="../ft_engineering/ft_trans.html">
- <a href="../ft_engineering/quantify.html">
+ <a href="../ft_engineering/ft_trans.html">
- <b>3.4.2.</b>
+ <b>3.6.</b>
- Quantify non-number features
+ FEATURE TRANSFORMATION
</a>
- </li>
+ <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>
+
- </ul>
</li>
- <li class="chapter " data-level="3.5" data-path="../ft_engineering/feature_selection.html">
+ <li class="chapter " data-level="3.6.2" data-path="../ft_engineering/quantify.html">
- <a href="../ft_engineering/feature_selection.html">
+ <a href="../ft_engineering/quantify.html">
- <b>3.5.</b>
+ <b>3.6.2.</b>
- Feature selection
+ Quantify non-number features
</a>
@@ -650,6 +660,11 @@
</li>
+ </ul>
+
+ </li>
+
+
<li class="header">Part IV - Evaluation</li>
@@ -2118,7 +2133,7 @@ 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":"5.1.2","depth":2,"next":{"title":"Mini-batch Gradient Descent","level":"5.1.3","depth":2,"path":"binaryclass/a9a_minibatch.md","ref":"binaryclass/a9a_minibatch.md","articles":[]},"previous":{"title":"Data preparation","level":"5.1.1","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":{"header":1,"maxdepth":3,"mindepth":1,"notoc":true},"github":{"url":"https://github.com/apache/incubator-hivem
all/"},"splitter":{},"search":{},"downloadpdf":{"base":"https://github.com/apache/incubator-hivemall/docs/gitbook","label":"PDF","multilingual":false},"multipart":{},"localized-footer":{"filename":"FOOTER.md"},"lunr":{"maxIndexSize":1000000,"ignoreSpecialCharacters":false},"katex":{},"fontsettings":{"theme":"white","family":"sans","size":2,"font":"sans"},"highlight":{},"codeblock-filename":{},"sitemap":{"hostname":"http://hivemall.incubator.apache.org/"},"theme-api":{"languages":[],"split":false,"theme":"dark"},"sharing":{"facebook":true,"twitter":true,"google":false,"weibo":false,"instapaper":false,"vk":false,"all":["facebook","google","twitter","weibo","instapaper"]},"edit-link":{"label":"Edit","base":"https://github.com/apache/incubator-hivemall/docs/gitbook"},"theme-default":{"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"showLevel":true},"anchorjs":{"select
or":"h1,h2,h3,*:not(.callout) > h4,h5"},"toggle-chapters":{},"expandable-chapters":{}},"theme":"default","pdf":{"pageNumbers":true,"fontSize":12,"fontFamily":"Arial","paperSize":"a4","chapterMark":"pagebreak","pageBreaksBefore":"/","margin":{"right":62,"left":62,"top":56,"bottom":56}},"structure":{"langs":"LANGS.md","readme":"README.md","glossary":"GLOSSARY.md","summary":"SUMMARY.md"},"variables":{},"title":"Hivemall User Manual","links":{"sidebar":{"<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":"2016-12-02T08:02:42.000Z","type":"markdown"},"gitbook":{"version":"3.2.2","time":"2017-04-27T13:49:22.144Z"},"basePath":"..","book":{"language":""}});
+ gitbook.page.hasChanged({"page":{"title":"Logistic Regression","level":"5.1.2","depth":2,"next":{"title":"Mini-batch Gradient Descent","level":"5.1.3","depth":2,"path":"binaryclass/a9a_minibatch.md","ref":"binaryclass/a9a_minibatch.md","articles":[]},"previous":{"title":"Data preparation","level":"5.1.1","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":{"header":1,"maxdepth":3,"mindepth":1,"notoc":true},"github":{"url":"https://github.com/apache/incubator-hivem
all/"},"splitter":{},"search":{},"downloadpdf":{"base":"https://github.com/apache/incubator-hivemall/docs/gitbook","label":"PDF","multilingual":false},"multipart":{},"localized-footer":{"filename":"FOOTER.md"},"lunr":{"maxIndexSize":1000000,"ignoreSpecialCharacters":false},"katex":{},"fontsettings":{"theme":"white","family":"sans","size":2,"font":"sans"},"highlight":{},"codeblock-filename":{},"sitemap":{"hostname":"http://hivemall.incubator.apache.org/"},"theme-api":{"languages":[],"split":false,"theme":"dark"},"sharing":{"facebook":true,"twitter":true,"google":false,"weibo":false,"instapaper":false,"vk":false,"all":["facebook","google","twitter","weibo","instapaper"]},"edit-link":{"label":"Edit","base":"https://github.com/apache/incubator-hivemall/docs/gitbook"},"theme-default":{"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"showLevel":true},"anchorjs":{"select
or":"h1,h2,h3,*:not(.callout) > h4,h5"},"toggle-chapters":{},"expandable-chapters":{}},"theme":"default","pdf":{"pageNumbers":true,"fontSize":12,"fontFamily":"Arial","paperSize":"a4","chapterMark":"pagebreak","pageBreaksBefore":"/","margin":{"right":62,"left":62,"top":56,"bottom":56}},"structure":{"langs":"LANGS.md","readme":"README.md","glossary":"GLOSSARY.md","summary":"SUMMARY.md"},"variables":{},"title":"Hivemall User Manual","links":{"sidebar":{"<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":"2016-12-02T08:02:42.000Z","type":"markdown"},"gitbook":{"version":"3.2.2","time":"2017-05-08T08:42:42.226Z"},"basePath":"..","book":{"language":""}});
});
</script>
</div>
http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/15b9991a/userguide/binaryclass/a9a_minibatch.html
----------------------------------------------------------------------
diff --git a/userguide/binaryclass/a9a_minibatch.html b/userguide/binaryclass/a9a_minibatch.html
index a30a085..71e3430 100644
--- a/userguide/binaryclass/a9a_minibatch.html
+++ b/userguide/binaryclass/a9a_minibatch.html
@@ -568,14 +568,14 @@
</li>
- <li class="chapter " data-level="3.3" data-path="../ft_engineering/tfidf.html">
+ <li class="chapter " data-level="3.3" data-path="../ft_engineering/selection.html">
- <a href="../ft_engineering/tfidf.html">
+ <a href="../ft_engineering/selection.html">
<b>3.3.</b>
- TF-IDF calculation
+ Feature Selection
</a>
@@ -583,30 +583,29 @@
</li>
- <li class="chapter " data-level="3.4" data-path="../ft_engineering/ft_trans.html">
+ <li class="chapter " data-level="3.4" data-path="../ft_engineering/binning.html">
- <a href="../ft_engineering/ft_trans.html">
+ <a href="../ft_engineering/binning.html">
<b>3.4.</b>
- FEATURE TRANSFORMATION
+ Feature Binning
</a>
- <ul class="articles">
-
+ </li>
- <li class="chapter " data-level="3.4.1" data-path="../ft_engineering/vectorizer.html">
+ <li class="chapter " data-level="3.5" data-path="../ft_engineering/tfidf.html">
- <a href="../ft_engineering/vectorizer.html">
+ <a href="../ft_engineering/tfidf.html">
- <b>3.4.1.</b>
+ <b>3.5.</b>
- Vectorize Features
+ TF-IDF Calculation
</a>
@@ -614,34 +613,45 @@
</li>
- <li class="chapter " data-level="3.4.2" data-path="../ft_engineering/quantify.html">
+ <li class="chapter " data-level="3.6" data-path="../ft_engineering/ft_trans.html">
- <a href="../ft_engineering/quantify.html">
+ <a href="../ft_engineering/ft_trans.html">
- <b>3.4.2.</b>
+ <b>3.6.</b>
- Quantify non-number features
+ FEATURE TRANSFORMATION
</a>
- </li>
+ <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>
+
- </ul>
</li>
- <li class="chapter " data-level="3.5" data-path="../ft_engineering/feature_selection.html">
+ <li class="chapter " data-level="3.6.2" data-path="../ft_engineering/quantify.html">
- <a href="../ft_engineering/feature_selection.html">
+ <a href="../ft_engineering/quantify.html">
- <b>3.5.</b>
+ <b>3.6.2.</b>
- Feature selection
+ Quantify non-number features
</a>
@@ -650,6 +660,11 @@
</li>
+ </ul>
+
+ </li>
+
+
<li class="header">Part IV - Evaluation</li>
@@ -2085,7 +2100,7 @@ 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":"5.1.3","depth":2,"next":{"title":"News20 Tutorial","level":"5.2","depth":1,"path":"binaryclass/news20.md","ref":"binaryclass/news20.md","articles":[{"title":"Data preparation","level":"5.2.1","depth":2,"path":"binaryclass/news20_dataset.md","ref":"binaryclass/news20_dataset.md","articles":[]},{"title":"Perceptron, Passive Aggressive","level":"5.2.2","depth":2,"path":"binaryclass/news20_pa.md","ref":"binaryclass/news20_pa.md","articles":[]},{"title":"CW, AROW, SCW","level":"5.2.3","depth":2,"path":"binaryclass/news20_scw.md","ref":"binaryclass/news20_scw.md","articles":[]},{"title":"AdaGradRDA, AdaGrad, AdaDelta","level":"5.2.4","depth":2,"path":"binaryclass/news20_adagrad.md","ref":"binaryclass/news20_adagrad.md","articles":[]}]},"previous":{"title":"Logistic Regression","level":"5.1.2","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":{"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"},"lunr":{"maxIndexSize":1000000,"ignoreSpecialCharacters":false},"katex":{},"fontsettings":{"theme":"white","family":"sans","size":2,"font":"sans"},"highlight":{},"codeblock-filename":{},"sitemap":{"hostname":"http://hivemall.
incubator.apache.org/"},"theme-api":{"languages":[],"split":false,"theme":"dark"},"sharing":{"facebook":true,"twitter":true,"google":false,"weibo":false,"instapaper":false,"vk":false,"all":["facebook","google","twitter","weibo","instapaper"]},"edit-link":{"label":"Edit","base":"https://github.com/apache/incubator-hivemall/docs/gitbook"},"theme-default":{"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"showLevel":true},"anchorjs":{"selector":"h1,h2,h3,*:not(.callout) > h4,h5"},"toggle-chapters":{},"expandable-chapters":{}},"theme":"default","pdf":{"pageNumbers":true,"fontSize":12,"fontFamily":"Arial","paperSize":"a4","chapterMark":"pagebreak","pageBreaksBefore":"/","margin":{"right":62,"left":62,"top":56,"bottom":56}},"structure":{"langs":"LANGS.md","readme":"README.md","glossary":"GLOSSARY.md","summary":"SUMMARY.md"},"variables":{},"title":"Hivemall User Manual","
links":{"sidebar":{"<i class=\"fa fa-home\"></i> Home":"http://hivemall.incubator.apache.org/"}},"gitbook":"3.x.x","description":"User Manual for Apache Hivemall"},"file":{"path":"binaryclass/a9a_minibatch.md","mtime":"2016-12-02T08:02:42.000Z","type":"markdown"},"gitbook":{"version":"3.2.2","time":"2017-04-27T13:49:22.144Z"},"basePath":"..","book":{"language":""}});
+ gitbook.page.hasChanged({"page":{"title":"Mini-batch Gradient Descent","level":"5.1.3","depth":2,"next":{"title":"News20 Tutorial","level":"5.2","depth":1,"path":"binaryclass/news20.md","ref":"binaryclass/news20.md","articles":[{"title":"Data preparation","level":"5.2.1","depth":2,"path":"binaryclass/news20_dataset.md","ref":"binaryclass/news20_dataset.md","articles":[]},{"title":"Perceptron, Passive Aggressive","level":"5.2.2","depth":2,"path":"binaryclass/news20_pa.md","ref":"binaryclass/news20_pa.md","articles":[]},{"title":"CW, AROW, SCW","level":"5.2.3","depth":2,"path":"binaryclass/news20_scw.md","ref":"binaryclass/news20_scw.md","articles":[]},{"title":"AdaGradRDA, AdaGrad, AdaDelta","level":"5.2.4","depth":2,"path":"binaryclass/news20_adagrad.md","ref":"binaryclass/news20_adagrad.md","articles":[]}]},"previous":{"title":"Logistic Regression","level":"5.1.2","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":{"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"},"lunr":{"maxIndexSize":1000000,"ignoreSpecialCharacters":false},"katex":{},"fontsettings":{"theme":"white","family":"sans","size":2,"font":"sans"},"highlight":{},"codeblock-filename":{},"sitemap":{"hostname":"http://hivemall.
incubator.apache.org/"},"theme-api":{"languages":[],"split":false,"theme":"dark"},"sharing":{"facebook":true,"twitter":true,"google":false,"weibo":false,"instapaper":false,"vk":false,"all":["facebook","google","twitter","weibo","instapaper"]},"edit-link":{"label":"Edit","base":"https://github.com/apache/incubator-hivemall/docs/gitbook"},"theme-default":{"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"showLevel":true},"anchorjs":{"selector":"h1,h2,h3,*:not(.callout) > h4,h5"},"toggle-chapters":{},"expandable-chapters":{}},"theme":"default","pdf":{"pageNumbers":true,"fontSize":12,"fontFamily":"Arial","paperSize":"a4","chapterMark":"pagebreak","pageBreaksBefore":"/","margin":{"right":62,"left":62,"top":56,"bottom":56}},"structure":{"langs":"LANGS.md","readme":"README.md","glossary":"GLOSSARY.md","summary":"SUMMARY.md"},"variables":{},"title":"Hivemall User Manual","
links":{"sidebar":{"<i class=\"fa fa-home\"></i> Home":"http://hivemall.incubator.apache.org/"}},"gitbook":"3.x.x","description":"User Manual for Apache Hivemall"},"file":{"path":"binaryclass/a9a_minibatch.md","mtime":"2016-12-02T08:02:42.000Z","type":"markdown"},"gitbook":{"version":"3.2.2","time":"2017-05-08T08:42:42.226Z"},"basePath":"..","book":{"language":""}});
});
</script>
</div>
http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/15b9991a/userguide/binaryclass/kdd2010a.html
----------------------------------------------------------------------
diff --git a/userguide/binaryclass/kdd2010a.html b/userguide/binaryclass/kdd2010a.html
index 33aa918..eed6a98 100644
--- a/userguide/binaryclass/kdd2010a.html
+++ b/userguide/binaryclass/kdd2010a.html
@@ -568,14 +568,14 @@
</li>
- <li class="chapter " data-level="3.3" data-path="../ft_engineering/tfidf.html">
+ <li class="chapter " data-level="3.3" data-path="../ft_engineering/selection.html">
- <a href="../ft_engineering/tfidf.html">
+ <a href="../ft_engineering/selection.html">
<b>3.3.</b>
- TF-IDF calculation
+ Feature Selection
</a>
@@ -583,30 +583,29 @@
</li>
- <li class="chapter " data-level="3.4" data-path="../ft_engineering/ft_trans.html">
+ <li class="chapter " data-level="3.4" data-path="../ft_engineering/binning.html">
- <a href="../ft_engineering/ft_trans.html">
+ <a href="../ft_engineering/binning.html">
<b>3.4.</b>
- FEATURE TRANSFORMATION
+ Feature Binning
</a>
- <ul class="articles">
-
+ </li>
- <li class="chapter " data-level="3.4.1" data-path="../ft_engineering/vectorizer.html">
+ <li class="chapter " data-level="3.5" data-path="../ft_engineering/tfidf.html">
- <a href="../ft_engineering/vectorizer.html">
+ <a href="../ft_engineering/tfidf.html">
- <b>3.4.1.</b>
+ <b>3.5.</b>
- Vectorize Features
+ TF-IDF Calculation
</a>
@@ -614,34 +613,45 @@
</li>
- <li class="chapter " data-level="3.4.2" data-path="../ft_engineering/quantify.html">
+ <li class="chapter " data-level="3.6" data-path="../ft_engineering/ft_trans.html">
- <a href="../ft_engineering/quantify.html">
+ <a href="../ft_engineering/ft_trans.html">
- <b>3.4.2.</b>
+ <b>3.6.</b>
- Quantify non-number features
+ FEATURE TRANSFORMATION
</a>
- </li>
+ <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>
+
- </ul>
</li>
- <li class="chapter " data-level="3.5" data-path="../ft_engineering/feature_selection.html">
+ <li class="chapter " data-level="3.6.2" data-path="../ft_engineering/quantify.html">
- <a href="../ft_engineering/feature_selection.html">
+ <a href="../ft_engineering/quantify.html">
- <b>3.5.</b>
+ <b>3.6.2.</b>
- Feature selection
+ Quantify non-number features
</a>
@@ -650,6 +660,11 @@
</li>
+ </ul>
+
+ </li>
+
+
<li class="header">Part IV - Evaluation</li>
@@ -2047,7 +2062,7 @@ 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":"5.3","depth":1,"next":{"title":"Data preparation","level":"5.3.1","depth":2,"path":"binaryclass/kdd2010a_dataset.md","ref":"binaryclass/kdd2010a_dataset.md","articles":[]},"previous":{"title":"AdaGradRDA, AdaGrad, AdaDelta","level":"5.2.4","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":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"pluginsConfig":{"emphasize":{},"callouts":{},"etoc":{"header":1,"maxdepth":3,"mindepth":1,"notoc":true},"github":{"url":"https://github.com/apache/incub
ator-hivemall/"},"splitter":{},"search":{},"downloadpdf":{"base":"https://github.com/apache/incubator-hivemall/docs/gitbook","label":"PDF","multilingual":false},"multipart":{},"localized-footer":{"filename":"FOOTER.md"},"lunr":{"maxIndexSize":1000000,"ignoreSpecialCharacters":false},"katex":{},"fontsettings":{"theme":"white","family":"sans","size":2,"font":"sans"},"highlight":{},"codeblock-filename":{},"sitemap":{"hostname":"http://hivemall.incubator.apache.org/"},"theme-api":{"languages":[],"split":false,"theme":"dark"},"sharing":{"facebook":true,"twitter":true,"google":false,"weibo":false,"instapaper":false,"vk":false,"all":["facebook","google","twitter","weibo","instapaper"]},"edit-link":{"label":"Edit","base":"https://github.com/apache/incubator-hivemall/docs/gitbook"},"theme-default":{"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"showLevel":true},"anchorjs
":{"selector":"h1,h2,h3,*:not(.callout) > h4,h5"},"toggle-chapters":{},"expandable-chapters":{}},"theme":"default","pdf":{"pageNumbers":true,"fontSize":12,"fontFamily":"Arial","paperSize":"a4","chapterMark":"pagebreak","pageBreaksBefore":"/","margin":{"right":62,"left":62,"top":56,"bottom":56}},"structure":{"langs":"LANGS.md","readme":"README.md","glossary":"GLOSSARY.md","summary":"SUMMARY.md"},"variables":{},"title":"Hivemall User Manual","links":{"sidebar":{"<i class=\"fa fa-home\"></i> Home":"http://hivemall.incubator.apache.org/"}},"gitbook":"3.x.x","description":"User Manual for Apache Hivemall"},"file":{"path":"binaryclass/kdd2010a.md","mtime":"2016-12-02T08:02:42.000Z","type":"markdown"},"gitbook":{"version":"3.2.2","time":"2017-04-27T13:49:22.144Z"},"basePath":"..","book":{"language":""}});
+ gitbook.page.hasChanged({"page":{"title":"KDD2010a Tutorial","level":"5.3","depth":1,"next":{"title":"Data preparation","level":"5.3.1","depth":2,"path":"binaryclass/kdd2010a_dataset.md","ref":"binaryclass/kdd2010a_dataset.md","articles":[]},"previous":{"title":"AdaGradRDA, AdaGrad, AdaDelta","level":"5.2.4","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":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"pluginsConfig":{"emphasize":{},"callouts":{},"etoc":{"header":1,"maxdepth":3,"mindepth":1,"notoc":true},"github":{"url":"https://github.com/apache/incub
ator-hivemall/"},"splitter":{},"search":{},"downloadpdf":{"base":"https://github.com/apache/incubator-hivemall/docs/gitbook","label":"PDF","multilingual":false},"multipart":{},"localized-footer":{"filename":"FOOTER.md"},"lunr":{"maxIndexSize":1000000,"ignoreSpecialCharacters":false},"katex":{},"fontsettings":{"theme":"white","family":"sans","size":2,"font":"sans"},"highlight":{},"codeblock-filename":{},"sitemap":{"hostname":"http://hivemall.incubator.apache.org/"},"theme-api":{"languages":[],"split":false,"theme":"dark"},"sharing":{"facebook":true,"twitter":true,"google":false,"weibo":false,"instapaper":false,"vk":false,"all":["facebook","google","twitter","weibo","instapaper"]},"edit-link":{"label":"Edit","base":"https://github.com/apache/incubator-hivemall/docs/gitbook"},"theme-default":{"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"showLevel":true},"anchorjs
":{"selector":"h1,h2,h3,*:not(.callout) > h4,h5"},"toggle-chapters":{},"expandable-chapters":{}},"theme":"default","pdf":{"pageNumbers":true,"fontSize":12,"fontFamily":"Arial","paperSize":"a4","chapterMark":"pagebreak","pageBreaksBefore":"/","margin":{"right":62,"left":62,"top":56,"bottom":56}},"structure":{"langs":"LANGS.md","readme":"README.md","glossary":"GLOSSARY.md","summary":"SUMMARY.md"},"variables":{},"title":"Hivemall User Manual","links":{"sidebar":{"<i class=\"fa fa-home\"></i> Home":"http://hivemall.incubator.apache.org/"}},"gitbook":"3.x.x","description":"User Manual for Apache Hivemall"},"file":{"path":"binaryclass/kdd2010a.md","mtime":"2016-12-02T08:02:42.000Z","type":"markdown"},"gitbook":{"version":"3.2.2","time":"2017-05-08T08:42:42.226Z"},"basePath":"..","book":{"language":""}});
});
</script>
</div>