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Posted to commits@hivemall.apache.org by my...@apache.org on 2016/11/17 12:18:55 UTC
[12/12] incubator-hivemall-site git commit: Fixed links in the user
guide
Fixed links in the user guide
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/68241a08
Tree: http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/tree/68241a08
Diff: http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/diff/68241a08
Branch: refs/heads/asf-site
Commit: 68241a08770b72737540bd710624048e5e6903ea
Parents: 542ae78
Author: myui <yu...@gmail.com>
Authored: Thu Nov 17 21:18:30 2016 +0900
Committer: myui <yu...@gmail.com>
Committed: Thu Nov 17 21:18:30 2016 +0900
----------------------------------------------------------------------
userguide/FOOTER.md | 19 +
userguide/anomaly/lof.html | 59 +-
userguide/binaryclass/a9a.html | 37 +-
userguide/binaryclass/a9a_dataset.html | 37 +-
userguide/binaryclass/a9a_lr.html | 63 +-
userguide/binaryclass/a9a_minibatch.html | 43 +-
userguide/binaryclass/kdd2010a.html | 37 +-
userguide/binaryclass/kdd2010a_dataset.html | 46 +-
userguide/binaryclass/kdd2010a_scw.html | 37 +-
userguide/binaryclass/kdd2010b.html | 37 +-
userguide/binaryclass/kdd2010b_arow.html | 37 +-
userguide/binaryclass/kdd2010b_dataset.html | 46 +-
userguide/binaryclass/news20.html | 37 +-
userguide/binaryclass/news20_adagrad.html | 37 +-
userguide/binaryclass/news20_dataset.html | 37 +-
userguide/binaryclass/news20_pa.html | 37 +-
userguide/binaryclass/news20_scw.html | 37 +-
userguide/binaryclass/titanic_rf.html | 2081 ++++++++++++++++++
userguide/binaryclass/webspam.html | 37 +-
userguide/binaryclass/webspam_dataset.html | 37 +-
userguide/binaryclass/webspam_scw.html | 43 +-
userguide/eval/datagen.html | 37 +-
userguide/eval/lr_datagen.html | 53 +-
userguide/eval/stat_eval.html | 57 +-
userguide/ft_engineering/ft_trans.html | 37 +-
userguide/ft_engineering/hashing.html | 44 +-
userguide/ft_engineering/quantify.html | 37 +-
userguide/ft_engineering/scaling.html | 37 +-
userguide/ft_engineering/tfidf.html | 37 +-
userguide/ft_engineering/vectorizer.html | 37 +-
userguide/getting_started/index.html | 37 +-
userguide/getting_started/input-format.html | 51 +-
userguide/getting_started/installation.html | 37 +-
.../getting_started/permanent-functions.html | 38 +-
userguide/index.html | 37 +-
userguide/misc/generic_funcs.html | 268 ++-
userguide/misc/tokenizer.html | 37 +-
userguide/misc/topk.html | 41 +-
userguide/multiclass/iris.html | 37 +-
userguide/multiclass/iris_dataset.html | 39 +-
userguide/multiclass/iris_randomforest.html | 42 +-
userguide/multiclass/iris_scw.html | 41 +-
userguide/multiclass/news20.html | 39 +-
userguide/multiclass/news20_dataset.html | 37 +-
userguide/multiclass/news20_ensemble.html | 37 +-
.../multiclass/news20_one-vs-the-rest.html | 37 +-
.../news20_one-vs-the-rest_dataset.html | 37 +-
userguide/multiclass/news20_pa.html | 37 +-
userguide/multiclass/news20_scw.html | 37 +-
userguide/recommend/cf.html | 37 +-
userguide/recommend/item_based_cf.html | 41 +-
userguide/recommend/movielens.html | 37 +-
userguide/recommend/movielens_cv.html | 37 +-
userguide/recommend/movielens_dataset.html | 37 +-
userguide/recommend/movielens_fm.html | 44 +-
userguide/recommend/movielens_mf.html | 80 +-
userguide/recommend/news20.html | 37 +-
userguide/recommend/news20_bbit_minhash.html | 37 +-
userguide/recommend/news20_jaccard.html | 37 +-
userguide/recommend/news20_knn.html | 39 +-
userguide/regression/e2006.html | 37 +-
userguide/regression/e2006_arow.html | 41 +-
userguide/regression/e2006_dataset.html | 37 +-
userguide/regression/kddcup12tr2.html | 37 +-
userguide/regression/kddcup12tr2_adagrad.html | 41 +-
userguide/regression/kddcup12tr2_dataset.html | 39 +-
userguide/regression/kddcup12tr2_lr.html | 37 +-
.../regression/kddcup12tr2_lr_amplify.html | 43 +-
userguide/resources/images/kddtrack2tables.png | Bin 0 -> 30323 bytes
userguide/search_index.json | 2 +-
userguide/sitemap.xml | 1 +
userguide/tips/addbias.html | 39 +-
userguide/tips/emr.html | 53 +-
userguide/tips/ensemble_learning.html | 37 +-
userguide/tips/general_tips.html | 37 +-
userguide/tips/hadoop_tuning.html | 48 +-
userguide/tips/index.html | 37 +-
userguide/tips/mixserver.html | 64 +-
userguide/tips/rand_amplify.html | 57 +-
userguide/tips/rowid.html | 63 +-
userguide/tips/rt_prediction.html | 66 +-
userguide/troubleshooting/asterisk.html | 37 +-
userguide/troubleshooting/index.html | 37 +-
.../troubleshooting/mapjoin_classcastex.html | 37 +-
.../troubleshooting/mapjoin_task_error.html | 37 +-
userguide/troubleshooting/num_mappers.html | 37 +-
userguide/troubleshooting/oom.html | 37 +-
87 files changed, 5327 insertions(+), 397 deletions(-)
----------------------------------------------------------------------
http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/68241a08/userguide/FOOTER.md
----------------------------------------------------------------------
diff --git a/userguide/FOOTER.md b/userguide/FOOTER.md
index 588afbb..b6f2c55 100644
--- a/userguide/FOOTER.md
+++ b/userguide/FOOTER.md
@@ -1,3 +1,22 @@
+<!--
+ 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.
+-->
+
<sub><font color="gray">
Apache Hivemall is an effort undergoing incubation at The Apache Software Foundation (ASF), sponsored by the Apache Incubator.
</font></sub>
\ No newline at end of file
http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/68241a08/userguide/anomaly/lof.html
----------------------------------------------------------------------
diff --git a/userguide/anomaly/lof.html b/userguide/anomaly/lof.html
index 4ccba15..53d6d5b 100644
--- a/userguide/anomaly/lof.html
+++ b/userguide/anomaly/lof.html
@@ -997,6 +997,21 @@
</li>
+ <li class="chapter " data-level="5.6" data-path="../binaryclass/titanic_rf.html">
+
+ <a href="../binaryclass/titanic_rf.html">
+
+
+ <b>5.6.</b>
+
+ Kaggle Titanic Tutorial
+
+ </a>
+
+
+
+ </li>
+
@@ -1648,6 +1663,18 @@
under the License.
-->
<p>This article introduce how to find outliers using <a href="http://en.wikipedia.org/wiki/Local_outlier_factor" target="_blank">Local Outlier Detection (LOF)</a> on Hivemall.</p>
+<!-- toc --><div id="toc" class="toc">
+
+<ul>
+<li><a href="#data-preparation">Data Preparation</a><ul>
+<li><a href="#apply-data-normalization">Apply Data Normalization</a></li>
+</ul>
+</li>
+<li><a href="#outlier-detection-using-local-outlier-facotor-lof">Outlier Detection using Local Outlier Facotor (LOF)</a></li>
+<li><a href="#parallelize-top-k-computation">Parallelize Top-k computation</a></li>
+</ul>
+
+</div><!-- tocstop -->
<h1 id="data-preparation">Data Preparation</h1>
<pre><code class="lang-sql"><span class="hljs-keyword">create</span> <span class="hljs-keyword">database</span> lof;
<span class="hljs-keyword">use</span> lof;
@@ -1662,8 +1689,8 @@
<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">'/dataset/lof/hundred_balls'</span>;
</code></pre>
-<p>Download <a href="https://github.com/myui/hivemall/blob/master/resources/examples/lof/hundred_balls.txt" target="_blank">hundred_balls.txt</a> that is originally provides in <a href="http://next.rikunabi.com/tech/docs/ct_s03600.jsp?p=002259" target="_blank">this article</a>.</p>
-<p>You can find outliers in <a href="http://next.rikunabi.com/tech/contents/ts_report/img/201303/002259/part1_img1.jpg" target="_blank">this picture</a>. As you can see, Rowid <code>87</code> is apparently an outlier.</p>
+<p>Download <a href="https://gist.githubusercontent.com/myui/f8b44ab925bc198e6d11b18fdd21269d/raw/bed05f811e4c351ed959e0159405690f2f11e577/hundred_balls.txt" target="_blank">hundred_balls.txt</a> that is originally provides in <a href="http://next.rikunabi.com/tech/docs/ct_s03600.jsp?p=002259" target="_blank">this article</a>.</p>
+<p>In this example, Rowid <code>87</code> is apparently an outlier.</p>
<pre><code class="lang-sh">awk <span class="hljs-string">'{FS=" "; OFS=" "; print NR,$0}'</span> hundred_balls.txt | \
hadoop fs -put - /dataset/lof/hundred_balls/hundred_balls.txt
</code></pre>
@@ -1753,9 +1780,9 @@ norm_fv <span class="hljs-keyword">as</span> (
t1.<span class="hljs-keyword">rowid</span> != t2.<span class="hljs-keyword">rowid</span>
;
</code></pre>
-<p><em>Note: <code>list_neighbours</code> table SHOULD be created because <code>list_neighbours</code> is used multiple times.</em></p>
-<p><em>Note: <a href="https://github.com/myui/hivemall/pull/196" target="_blank"><code>each_top_k</code></a> is supported from Hivemall v0.3.2-3 or later.</em></p>
-<p><em>Note: To parallelize a top-k computation, break LEFT-hand table into piece as describe in <a href="https://github.com/myui/hivemall/wiki/Efficient-Top-k-computation-on-Apache-Hive-using-Hivemall-UDTF#parallelization-of-similarity-computation-using-with-clause" target="_blank">this page</a>.</em></p>
+<div class="panel panel-warning"><div class="panel-heading"><h3 class="panel-title" id="caution"><i class="fa fa-exclamation-triangle"></i> Caution</h3></div><div class="panel-body"><p><code>list_neighbours</code> table SHOULD be created because <code>list_neighbours</code> is used multiple times.</p></div></div>
+<h1 id="parallelize-top-k-computation">Parallelize Top-k computation</h1>
+<div class="panel panel-info"><div class="panel-heading"><h3 class="panel-title" id="info"><i class="fa fa-info"></i> Info</h3></div><div class="panel-body"><p>To parallelize a top-k computation, break LEFT-hand table into piece as describe in <a href="../misc/topk.html">this page</a>.</p></div></div>
<pre><code class="lang-sql">WITH k_distance as (
<span class="hljs-keyword">select</span>
target,
@@ -1804,7 +1831,25 @@ neighbours_lrd <span class="hljs-keyword">as</span> (
<pre><code>> 87 3.031143749957831
> 16 1.9755564408378874
> 1 1.8415763570939774
-</code></pre><p><div id="page-footer"><hr><p><sub><font color="gray">
+</code></pre><p><div id="page-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>
@@ -1841,7 +1886,7 @@ 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":"Hivemall on Apache Spark","level":"10.1","depth":1,"url":"https://github.com/maropu/hivemall-spark","ref":"https://github.com/maropu/hivemall-spark","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":{"maxdepth":3,"mindepth":1,"notoc
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+ gitbook.page.hasChanged({"page":{"title":"Outlier Detection using Local Outlier Factor (LOF)","level":"9.1","depth":1,"next":{"title":"Hivemall on Apache Spark","level":"10.1","depth":1,"url":"https://github.com/maropu/hivemall-spark","ref":"https://github.com/maropu/hivemall-spark","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":{"maxdepth":3,"mindepth":1,"notoc
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</div>
http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/68241a08/userguide/binaryclass/a9a.html
----------------------------------------------------------------------
diff --git a/userguide/binaryclass/a9a.html b/userguide/binaryclass/a9a.html
index 70b0d67..36d53ea 100644
--- a/userguide/binaryclass/a9a.html
+++ b/userguide/binaryclass/a9a.html
@@ -999,6 +999,21 @@
</li>
+ <li class="chapter " data-level="5.6" data-path="titanic_rf.html">
+
+ <a href="titanic_rf.html">
+
+
+ <b>5.6.</b>
+
+ Kaggle Titanic Tutorial
+
+ </a>
+
+
+
+ </li>
+
@@ -1649,7 +1664,25 @@
specific language governing permissions and limitations
under the License.
-->
-<p><div id="page-footer"><hr><p><sub><font color="gray">
+<p><div id="page-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>
@@ -1686,7 +1719,7 @@ 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":"4.2.1","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":{"maxdepth":3,"mindepth":1,"notoc":true},"github":{"url":"https://github.com/apache/incubator-hivemall/"},"splitter":{},"search":{}
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+ 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":"4.2.1","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":{"maxdepth":3,"mindepth":1,"notoc":true},"github":{"url":"https://github.com/apache/incubator-hivemall/"},"splitter":{},"search":{}
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http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/68241a08/userguide/binaryclass/a9a_dataset.html
----------------------------------------------------------------------
diff --git a/userguide/binaryclass/a9a_dataset.html b/userguide/binaryclass/a9a_dataset.html
index 5f23143..9220b9c 100644
--- a/userguide/binaryclass/a9a_dataset.html
+++ b/userguide/binaryclass/a9a_dataset.html
@@ -999,6 +999,21 @@
</li>
+ <li class="chapter " data-level="5.6" data-path="titanic_rf.html">
+
+ <a href="titanic_rf.html">
+
+
+ <b>5.6.</b>
+
+ Kaggle Titanic Tutorial
+
+ </a>
+
+
+
+ </li>
+
@@ -1679,7 +1694,25 @@ hadoop fs -copyFromLocal a9a.test /dataset/a9a/test
features <span class="hljs-built_in">ARRAY</span><<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">'\t'</span> COLLECTION ITEMS <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">'/dataset/a9a/test'</span>;
</code></pre>
-<p><div id="page-footer"><hr><p><sub><font color="gray">
+<p><div id="page-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>
@@ -1716,7 +1749,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
<script>
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+ 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
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http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/68241a08/userguide/binaryclass/a9a_lr.html
----------------------------------------------------------------------
diff --git a/userguide/binaryclass/a9a_lr.html b/userguide/binaryclass/a9a_lr.html
index a1820e1..f5519e6 100644
--- a/userguide/binaryclass/a9a_lr.html
+++ b/userguide/binaryclass/a9a_lr.html
@@ -999,6 +999,21 @@
</li>
+ <li class="chapter " data-level="5.6" data-path="titanic_rf.html">
+
+ <a href="titanic_rf.html">
+
+
+ <b>5.6.</b>
+
+ Kaggle Titanic Tutorial
+
+ </a>
+
+
+
+ </li>
+
@@ -1649,11 +1664,17 @@
specific language governing permissions and limitations
under the License.
-->
-<h1 id="a9a">a9a</h1>
-<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>
-<p><em>Training with iterations is OBSOLUTE in Hivemall.</em><br><em>Using amplifier and shuffling inputs is RECOMMENDED in Hivemall.</em></p>
-<hr>
-<h2 id="udf-preparation">UDF preparation</h2>
+<!-- toc --><div id="toc" class="toc">
+
+<ul>
+<li><a href="#udf-preparation">UDF preparation</a></li>
+<li><a href="#training">training</a></li>
+<li><a href="#prediction">prediction</a></li>
+<li><a href="#evaluation">evaluation</a></li>
+</ul>
+
+</div><!-- tocstop -->
+<h1 id="udf-preparation">UDF preparation</h1>
<pre><code class="lang-sql"><span class="hljs-keyword">select</span> <span class="hljs-keyword">count</span>(<span class="hljs-number">1</span>) <span class="hljs-keyword">from</span> a9atrain;
<span class="hljs-comment">-- set total_steps ideally be "count(1) / #map tasks"</span>
<span class="hljs-keyword">set</span> hivevar:total_steps=<span class="hljs-number">32561</span>;
@@ -1661,7 +1682,7 @@
<span class="hljs-keyword">select</span> <span class="hljs-keyword">count</span>(<span class="hljs-number">1</span>) <span class="hljs-keyword">from</span> a9atest;
<span class="hljs-keyword">set</span> hivevar:num_test_instances=<span class="hljs-number">16281</span>;
</code></pre>
-<h2 id="training">training</h2>
+<h1 id="training">training</h1>
<pre><code class="lang-sql"><span class="hljs-keyword">create</span> <span class="hljs-keyword">table</span> a9a_model1
<span class="hljs-keyword">as</span>
<span class="hljs-keyword">select</span>
@@ -1676,7 +1697,7 @@
<span class="hljs-keyword">group</span> <span class="hljs-keyword">by</span> feature;
</code></pre>
<p><em>"-total_steps" option is optional for logress() function.</em><br><em>I recommend you NOT to use options (e.g., total_steps and eta0) if you are not familiar with those options. Hivemall then uses an autonomic ETA (learning rate) estimator.</em></p>
-<h2 id="prediction">prediction</h2>
+<h1 id="prediction">prediction</h1>
<pre><code class="lang-sql"><span class="hljs-keyword">create</span> <span class="hljs-keyword">or</span> <span class="hljs-keyword">replace</span> <span class="hljs-keyword">view</span> a9a_predict1
<span class="hljs-keyword">as</span>
<span class="hljs-keyword">WITH</span> a9atest_exploded <span class="hljs-keyword">as</span> (
@@ -1698,7 +1719,7 @@
<span class="hljs-keyword">group</span> <span class="hljs-keyword">by</span>
t.<span class="hljs-keyword">rowid</span>;
</code></pre>
-<h2 id="evaluation">evaluation</h2>
+<h1 id="evaluation">evaluation</h1>
<pre><code class="lang-sql"><span class="hljs-keyword">create</span> <span class="hljs-keyword">or</span> <span class="hljs-keyword">replace</span> <span class="hljs-keyword">view</span> a9a_submit1 <span class="hljs-keyword">as</span>
<span class="hljs-keyword">select</span>
t.label <span class="hljs-keyword">as</span> actual,
@@ -1712,12 +1733,30 @@
<span class="hljs-keyword">where</span> actual == predicted;
</code></pre>
<blockquote>
-<p>0.8430071862907684
-<div id="page-footer"><hr><p><sub><font color="gray">
+<p>0.8430071862907684</p>
+</blockquote>
+<p><div id="page-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>
-</blockquote>
</section>
@@ -1751,7 +1790,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
<script>
var gitbook = gitbook || [];
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+ 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":{"maxdepth":3,"mindepth":1,"notoc":true},"github":{"url":"https://github.com/apache/incubator-hivemall/"},"spl
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http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/68241a08/userguide/binaryclass/a9a_minibatch.html
----------------------------------------------------------------------
diff --git a/userguide/binaryclass/a9a_minibatch.html b/userguide/binaryclass/a9a_minibatch.html
index 5ac7cf9..db85d8a 100644
--- a/userguide/binaryclass/a9a_minibatch.html
+++ b/userguide/binaryclass/a9a_minibatch.html
@@ -999,6 +999,21 @@
</li>
+ <li class="chapter " data-level="5.6" data-path="titanic_rf.html">
+
+ <a href="titanic_rf.html">
+
+
+ <b>5.6.</b>
+
+ Kaggle Titanic Tutorial
+
+ </a>
+
+
+
+ </li>
+
@@ -1649,10 +1664,10 @@
specific language governing permissions and limitations
under the License.
-->
-<p>This page explains how to apply <a href="https://class.coursera.org/ml-003/lecture/106" target="_blank">Mini-Batch Gradient Descent</a> for the training of logistic regression explained in <a href="https://github.com/myui/hivemall/wiki/a9a-binary-classification-(logistic-regression" target="_blank">this example</a>). </p>
-<p>See <a href="https://github.com/myui/hivemall/wiki/a9a-binary-classification-(logistic-regression" target="_blank">this page</a>) first. This content depends on it.</p>
+<p>This page explains how to apply <a href="https://class.coursera.org/ml-003/lecture/106" target="_blank">Mini-Batch Gradient Descent</a> for the training of logistic regression explained in <a href="a9a_lr.html">this example</a>.
+So, refer <a href="a9a_lr.html">this page</a> first. This content depends on it.</p>
<h1 id="training">Training</h1>
-<p>Replace <code>a9a_model1</code> of <a href="https://github.com/myui/hivemall/wiki/a9a-binary-classification-(logistic-regression" target="_blank">this example</a>).</p>
+<p>Replace <code>a9a_model1</code> of <a href="a9a_lr.html">this example</a>.</p>
<pre><code class="lang-sql"><span class="hljs-keyword">set</span> hivevar:total_steps=<span class="hljs-number">32561</span>;
<span class="hljs-keyword">set</span> hivevar:mini_batch_size=<span class="hljs-number">10</span>;
@@ -1687,7 +1702,25 @@
</tr>
</tbody>
</table>
-<p><div id="page-footer"><hr><p><sub><font color="gray">
+<p><div id="page-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>
@@ -1724,7 +1757,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
<script>
var gitbook = gitbook || [];
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- 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"
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+ 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"
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http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/68241a08/userguide/binaryclass/kdd2010a.html
----------------------------------------------------------------------
diff --git a/userguide/binaryclass/kdd2010a.html b/userguide/binaryclass/kdd2010a.html
index 1429b50..851d032 100644
--- a/userguide/binaryclass/kdd2010a.html
+++ b/userguide/binaryclass/kdd2010a.html
@@ -999,6 +999,21 @@
</li>
+ <li class="chapter " data-level="5.6" data-path="titanic_rf.html">
+
+ <a href="titanic_rf.html">
+
+
+ <b>5.6.</b>
+
+ Kaggle Titanic Tutorial
+
+ </a>
+
+
+
+ </li>
+
@@ -1649,7 +1664,25 @@
specific language governing permissions and limitations
under the License.
-->
-<p><div id="page-footer"><hr><p><sub><font color="gray">
+<p><div id="page-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>
@@ -1686,7 +1719,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
<script>
var gitbook = gitbook || [];
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+ 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":{"maxdepth":3,"mindepth":1,"notoc":true},"github":{"url":"https://github.com/apache/incubator-hivema
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http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/68241a08/userguide/binaryclass/kdd2010a_dataset.html
----------------------------------------------------------------------
diff --git a/userguide/binaryclass/kdd2010a_dataset.html b/userguide/binaryclass/kdd2010a_dataset.html
index 9dded23..8b6d26c 100644
--- a/userguide/binaryclass/kdd2010a_dataset.html
+++ b/userguide/binaryclass/kdd2010a_dataset.html
@@ -999,6 +999,21 @@
</li>
+ <li class="chapter " data-level="5.6" data-path="titanic_rf.html">
+
+ <a href="titanic_rf.html">
+
+
+ <b>5.6.</b>
+
+ Kaggle Titanic Tutorial
+
+ </a>
+
+
+
+ </li>
+
@@ -1651,12 +1666,9 @@
-->
<p><a href="http://www.csie.ntu.edu.tw/~cjlin/libsvmtools/datasets/binary.html#kdd2010 (algebra" target="_blank">http://www.csie.ntu.edu.tw/~cjlin/libsvmtools/datasets/binary.html#kdd2010 (algebra)</a>)</p>
<ul>
-<li><h1 id="of-classes-2">of classes: 2</h1>
-</li>
-<li><h1 id="of-data-8407752-training--510302-testing">of data: 8,407,752 (training) / 510,302 (testing)</h1>
-</li>
-<li><h1 id="of-features-20216830-in-about-273-gb-training--20216830-testing">of features: 20,216,830 in about 2.73 GB (training) / 20,216,830 (testing)</h1>
-</li>
+<li>the number of classes: 2</li>
+<li>the number of data: 8,407,752 (training) / 510,302 (testing)</li>
+<li>the number of features: 20,216,830 in about 2.73 GB (training) / 20,216,830 (testing) </li>
</ul>
<hr>
<h1 id="define-trainingtesting-tables">Define training/testing tables</h1>
@@ -1719,7 +1731,25 @@ CLUSTER <span class="hljs-keyword">BY</span> <span class="hljs-keyword">rand</sp
<span class="hljs-keyword">from</span>
kdd10a_train_orcfile;
</code></pre>
-<p><div id="page-footer"><hr><p><sub><font color="gray">
+<p><div id="page-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>
@@ -1756,7 +1786,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
<script>
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diff --git a/userguide/binaryclass/kdd2010a_scw.html b/userguide/binaryclass/kdd2010a_scw.html
index dc0251d..6923897 100644
--- a/userguide/binaryclass/kdd2010a_scw.html
+++ b/userguide/binaryclass/kdd2010a_scw.html
@@ -999,6 +999,21 @@
</li>
+ <li class="chapter " data-level="5.6" data-path="titanic_rf.html">
+
+ <a href="titanic_rf.html">
+
+
+ <b>5.6.</b>
+
+ Kaggle Titanic Tutorial
+
+ </a>
+
+
+
+ </li>
+
@@ -1849,7 +1864,25 @@
</tr>
</tbody>
</table>
-<p><div id="page-footer"><hr><p><sub><font color="gray">
+<p><div id="page-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>
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@@ -1886,7 +1919,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
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