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Posted to commits@hivemall.apache.org by my...@apache.org on 2017/09/13 14:10:34 UTC
[22/23] incubator-hivemall-site git commit: Updated userguide for
evaluation section
http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/a98b42f8/userguide/binaryclass/general.html
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diff --git a/userguide/binaryclass/general.html b/userguide/binaryclass/general.html
index 81e7625..62c8f68 100644
--- a/userguide/binaryclass/general.html
+++ b/userguide/binaryclass/general.html
@@ -244,7 +244,7 @@
<b>1.3.1.</b>
- Explicit addBias() for better prediction
+ Explicit add_bias() for better prediction
</a>
@@ -707,14 +707,14 @@
- <li class="chapter " data-level="4.1" data-path="../eval/stat_eval.html">
+ <li class="chapter " data-level="4.1" data-path="../eval/binary_classification_measures.html">
- <a href="../eval/stat_eval.html">
+ <a href="../eval/binary_classification_measures.html">
<b>4.1.</b>
- Statistical evaluation of a prediction model
+ Binary Classification Metrics
</a>
@@ -743,13 +743,43 @@
</li>
- <li class="chapter " data-level="4.2" data-path="../eval/rank.html">
+ <li class="chapter " data-level="4.2" data-path="../eval/multilabel_classification_measures.html">
- <a href="../eval/rank.html">
+ <a href="../eval/multilabel_classification_measures.html">
<b>4.2.</b>
+ Multi-label Classification Metrics
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="4.3" data-path="../eval/regression.html">
+
+ <a href="../eval/regression.html">
+
+
+ <b>4.3.</b>
+
+ Regression metrics
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="4.4" data-path="../eval/rank.html">
+
+ <a href="../eval/rank.html">
+
+
+ <b>4.4.</b>
+
Ranking Measures
</a>
@@ -758,12 +788,12 @@
</li>
- <li class="chapter " data-level="4.3" data-path="../eval/datagen.html">
+ <li class="chapter " data-level="4.5" data-path="../eval/datagen.html">
<a href="../eval/datagen.html">
- <b>4.3.</b>
+ <b>4.5.</b>
Data Generation
@@ -774,12 +804,12 @@
<ul class="articles">
- <li class="chapter " data-level="4.3.1" data-path="../eval/lr_datagen.html">
+ <li class="chapter " data-level="4.5.1" data-path="../eval/lr_datagen.html">
<a href="../eval/lr_datagen.html">
- <b>4.3.1.</b>
+ <b>4.5.1.</b>
Logistic Regression data generation
@@ -2255,8 +2285,8 @@ submit <span class="hljs-keyword">as</span> (
<span class="hljs-keyword">from</span>
a9a_train
</code></pre>
-<p>Likewise, you can generate many different classifiers based on its options.
-<div id="page-footer" class="localized-footer"><hr><!--
+<p>Likewise, you can generate many different classifiers based on its options.</p>
+<p><div id="page-footer" class="localized-footer"><hr><!--
Licensed to the Apache Software Foundation (ASF) under one
or more contributor license agreements. See the NOTICE file
distributed with this work for additional information
@@ -2311,7 +2341,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
<script>
var gitbook = gitbook || [];
gitbook.push(function() {
- gitbook.page.hasChanged({"page":{"title":"Binary Classification","level":"6.1","depth":1,"next":{"title":"a9a tutorial","level":"6.2","depth":1,"path":"binaryclass/a9a.md","ref":"binaryclass/a9a.md","articles":[{"title":"Data preparation","level":"6.2.1","depth":2,"path":"binaryclass/a9a_dataset.md","ref":"binaryclass/a9a_dataset.md","articles":[]},{"title":"Logistic Regression","level":"6.2.2","depth":2,"path":"binaryclass/a9a_lr.md","ref":"binaryclass/a9a_lr.md","articles":[]},{"title":"Mini-batch Gradient Descent","level":"6.2.3","depth":2,"path":"binaryclass/a9a_minibatch.md","ref":"binaryclass/a9a_minibatch.md","articles":[]}]},"previous":{"title":"How Prediction Works","level":"5.1","depth":1,"path":"misc/prediction.md","ref":"misc/prediction.md","articles":[]},"dir":"ltr"},"config":{"plugins":["theme-api","edit-link","github","splitter","sitemap","etoc","callouts","toggle-chapters","anchorjs","codeblock-filename","expandable-chapters","multipart","codeblock-filena
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+ gitbook.page.hasChanged({"page":{"title":"Binary Classification","level":"6.1","depth":1,"next":{"title":"a9a tutorial","level":"6.2","depth":1,"path":"binaryclass/a9a.md","ref":"binaryclass/a9a.md","articles":[{"title":"Data preparation","level":"6.2.1","depth":2,"path":"binaryclass/a9a_dataset.md","ref":"binaryclass/a9a_dataset.md","articles":[]},{"title":"Logistic Regression","level":"6.2.2","depth":2,"path":"binaryclass/a9a_lr.md","ref":"binaryclass/a9a_lr.md","articles":[]},{"title":"Mini-batch Gradient Descent","level":"6.2.3","depth":2,"path":"binaryclass/a9a_minibatch.md","ref":"binaryclass/a9a_minibatch.md","articles":[]}]},"previous":{"title":"How Prediction Works","level":"5.1","depth":1,"path":"misc/prediction.md","ref":"misc/prediction.md","articles":[]},"dir":"ltr"},"config":{"plugins":["theme-api","edit-link","github","splitter","sitemap","etoc","callouts","toggle-chapters","anchorjs","codeblock-filename","expandable-chapters","multipart","codeblock-filena
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http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/a98b42f8/userguide/binaryclass/kdd2010a.html
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diff --git a/userguide/binaryclass/kdd2010a.html b/userguide/binaryclass/kdd2010a.html
index fa16d99..55ae2a4 100644
--- a/userguide/binaryclass/kdd2010a.html
+++ b/userguide/binaryclass/kdd2010a.html
@@ -244,7 +244,7 @@
<b>1.3.1.</b>
- Explicit addBias() for better prediction
+ Explicit add_bias() for better prediction
</a>
@@ -707,14 +707,14 @@
- <li class="chapter " data-level="4.1" data-path="../eval/stat_eval.html">
+ <li class="chapter " data-level="4.1" data-path="../eval/binary_classification_measures.html">
- <a href="../eval/stat_eval.html">
+ <a href="../eval/binary_classification_measures.html">
<b>4.1.</b>
- Statistical evaluation of a prediction model
+ Binary Classification Metrics
</a>
@@ -743,13 +743,43 @@
</li>
- <li class="chapter " data-level="4.2" data-path="../eval/rank.html">
+ <li class="chapter " data-level="4.2" data-path="../eval/multilabel_classification_measures.html">
- <a href="../eval/rank.html">
+ <a href="../eval/multilabel_classification_measures.html">
<b>4.2.</b>
+ Multi-label Classification Metrics
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="4.3" data-path="../eval/regression.html">
+
+ <a href="../eval/regression.html">
+
+
+ <b>4.3.</b>
+
+ Regression metrics
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="4.4" data-path="../eval/rank.html">
+
+ <a href="../eval/rank.html">
+
+
+ <b>4.4.</b>
+
Ranking Measures
</a>
@@ -758,12 +788,12 @@
</li>
- <li class="chapter " data-level="4.3" data-path="../eval/datagen.html">
+ <li class="chapter " data-level="4.5" data-path="../eval/datagen.html">
<a href="../eval/datagen.html">
- <b>4.3.</b>
+ <b>4.5.</b>
Data Generation
@@ -774,12 +804,12 @@
<ul class="articles">
- <li class="chapter " data-level="4.3.1" data-path="../eval/lr_datagen.html">
+ <li class="chapter " data-level="4.5.1" data-path="../eval/lr_datagen.html">
<a href="../eval/lr_datagen.html">
- <b>4.3.1.</b>
+ <b>4.5.1.</b>
Logistic Regression data generation
@@ -2210,7 +2240,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
<script>
var gitbook = gitbook || [];
gitbook.push(function() {
- gitbook.page.hasChanged({"page":{"title":"KDD2010a tutorial","level":"6.4","depth":1,"next":{"title":"Data preparation","level":"6.4.1","depth":2,"path":"binaryclass/kdd2010a_dataset.md","ref":"binaryclass/kdd2010a_dataset.md","articles":[]},"previous":{"title":"Random Forest","level":"6.3.5","depth":2,"path":"binaryclass/news20_rf.md","ref":"binaryclass/news20_rf.md","articles":[]},"dir":"ltr"},"config":{"plugins":["theme-api","edit-link","github","splitter","sitemap","etoc","callouts","toggle-chapters","anchorjs","codeblock-filename","expandable-chapters","multipart","codeblock-filename","katex","emphasize","localized-footer"],"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"pluginsConfig":{"emphasize":{},"callouts":{},"etoc":{"h2lb":3,"header":1,"maxdepth":3,"mindepth":1,"notoc":true},"github":{"url":"https://github.com/apache/incubator-hivemall/"},
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http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/a98b42f8/userguide/binaryclass/kdd2010a_dataset.html
----------------------------------------------------------------------
diff --git a/userguide/binaryclass/kdd2010a_dataset.html b/userguide/binaryclass/kdd2010a_dataset.html
index 41e49d2..7c63cd4 100644
--- a/userguide/binaryclass/kdd2010a_dataset.html
+++ b/userguide/binaryclass/kdd2010a_dataset.html
@@ -244,7 +244,7 @@
<b>1.3.1.</b>
- Explicit addBias() for better prediction
+ Explicit add_bias() for better prediction
</a>
@@ -707,14 +707,14 @@
- <li class="chapter " data-level="4.1" data-path="../eval/stat_eval.html">
+ <li class="chapter " data-level="4.1" data-path="../eval/binary_classification_measures.html">
- <a href="../eval/stat_eval.html">
+ <a href="../eval/binary_classification_measures.html">
<b>4.1.</b>
- Statistical evaluation of a prediction model
+ Binary Classification Metrics
</a>
@@ -743,13 +743,43 @@
</li>
- <li class="chapter " data-level="4.2" data-path="../eval/rank.html">
+ <li class="chapter " data-level="4.2" data-path="../eval/multilabel_classification_measures.html">
- <a href="../eval/rank.html">
+ <a href="../eval/multilabel_classification_measures.html">
<b>4.2.</b>
+ Multi-label Classification Metrics
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="4.3" data-path="../eval/regression.html">
+
+ <a href="../eval/regression.html">
+
+
+ <b>4.3.</b>
+
+ Regression metrics
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="4.4" data-path="../eval/rank.html">
+
+ <a href="../eval/rank.html">
+
+
+ <b>4.4.</b>
+
Ranking Measures
</a>
@@ -758,12 +788,12 @@
</li>
- <li class="chapter " data-level="4.3" data-path="../eval/datagen.html">
+ <li class="chapter " data-level="4.5" data-path="../eval/datagen.html">
<a href="../eval/datagen.html">
- <b>4.3.</b>
+ <b>4.5.</b>
Data Generation
@@ -774,12 +804,12 @@
<ul class="articles">
- <li class="chapter " data-level="4.3.1" data-path="../eval/lr_datagen.html">
+ <li class="chapter " data-level="4.5.1" data-path="../eval/lr_datagen.html">
<a href="../eval/lr_datagen.html">
- <b>4.3.1.</b>
+ <b>4.5.1.</b>
Logistic Regression data generation
@@ -2210,7 +2240,7 @@ CLUSTER <span class="hljs-keyword">BY</span> <span class="hljs-keyword">rand</sp
<span class="hljs-keyword">split</span>(feature,<span class="hljs-string">":"</span>)[<span class="hljs-number">0</span>] <span class="hljs-keyword">as</span> feature,
<span class="hljs-keyword">cast</span>(<span class="hljs-keyword">split</span>(feature,<span class="hljs-string">":"</span>)[<span class="hljs-number">1</span>] <span class="hljs-keyword">as</span> <span class="hljs-built_in">float</span>) <span class="hljs-keyword">as</span> <span class="hljs-keyword">value</span>
<span class="hljs-keyword">from</span>
- kdd10a_test LATERAL <span class="hljs-keyword">VIEW</span> explode(addBias(features)) t <span class="hljs-keyword">AS</span> feature;
+ kdd10a_test LATERAL <span class="hljs-keyword">VIEW</span> explode(add_bias(features)) t <span class="hljs-keyword">AS</span> feature;
<span class="hljs-keyword">set</span> hivevar:xtimes=<span class="hljs-number">3</span>;
<span class="hljs-keyword">set</span> hivevar:shufflebuffersize=<span class="hljs-number">1000</span>;
@@ -2277,7 +2307,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
<script>
var gitbook = gitbook || [];
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diff --git a/userguide/binaryclass/kdd2010a_scw.html b/userguide/binaryclass/kdd2010a_scw.html
index 84f6374..6b53b4b 100644
--- a/userguide/binaryclass/kdd2010a_scw.html
+++ b/userguide/binaryclass/kdd2010a_scw.html
@@ -244,7 +244,7 @@
<b>1.3.1.</b>
- Explicit addBias() for better prediction
+ Explicit add_bias() for better prediction
</a>
@@ -707,14 +707,14 @@
- <li class="chapter " data-level="4.1" data-path="../eval/stat_eval.html">
+ <li class="chapter " data-level="4.1" data-path="../eval/binary_classification_measures.html">
- <a href="../eval/stat_eval.html">
+ <a href="../eval/binary_classification_measures.html">
<b>4.1.</b>
- Statistical evaluation of a prediction model
+ Binary Classification Metrics
</a>
@@ -743,13 +743,43 @@
</li>
- <li class="chapter " data-level="4.2" data-path="../eval/rank.html">
+ <li class="chapter " data-level="4.2" data-path="../eval/multilabel_classification_measures.html">
- <a href="../eval/rank.html">
+ <a href="../eval/multilabel_classification_measures.html">
<b>4.2.</b>
+ Multi-label Classification Metrics
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="4.3" data-path="../eval/regression.html">
+
+ <a href="../eval/regression.html">
+
+
+ <b>4.3.</b>
+
+ Regression metrics
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="4.4" data-path="../eval/rank.html">
+
+ <a href="../eval/rank.html">
+
+
+ <b>4.4.</b>
+
Ranking Measures
</a>
@@ -758,12 +788,12 @@
</li>
- <li class="chapter " data-level="4.3" data-path="../eval/datagen.html">
+ <li class="chapter " data-level="4.5" data-path="../eval/datagen.html">
<a href="../eval/datagen.html">
- <b>4.3.</b>
+ <b>4.5.</b>
Data Generation
@@ -774,12 +804,12 @@
<ul class="articles">
- <li class="chapter " data-level="4.3.1" data-path="../eval/lr_datagen.html">
+ <li class="chapter " data-level="4.5.1" data-path="../eval/lr_datagen.html">
<a href="../eval/lr_datagen.html">
- <b>4.3.1.</b>
+ <b>4.5.1.</b>
Logistic Regression data generation
@@ -2165,7 +2195,7 @@
voted_avg(weight) <span class="hljs-keyword">as</span> weight
<span class="hljs-keyword">from</span>
(<span class="hljs-keyword">select</span>
- train_pa1(addBias(features),label) <span class="hljs-keyword">as</span> (feature,weight)
+ train_pa1(add_bias(features),label) <span class="hljs-keyword">as</span> (feature,weight)
<span class="hljs-keyword">from</span>
kdd10a_train_x3
) t
@@ -2209,7 +2239,7 @@
argmin_kld(weight, covar) <span class="hljs-keyword">as</span> weight
<span class="hljs-keyword">from</span>
(<span class="hljs-keyword">select</span>
- train_cw(addBias(features),label) <span class="hljs-keyword">as</span> (feature,weight,covar)
+ train_cw(add_bias(features),label) <span class="hljs-keyword">as</span> (feature,weight,covar)
<span class="hljs-keyword">from</span>
kdd10a_train_x3
) t
@@ -2252,8 +2282,8 @@
argmin_kld(weight, covar) <span class="hljs-keyword">as</span> weight <span class="hljs-comment">-- [hivemall v0.2alpha3 or later]</span>
<span class="hljs-keyword">from</span>
(<span class="hljs-keyword">select</span>
- <span class="hljs-comment">-- train_arow(addBias(features),label) as (feature,weight) -- [hivemall v0.1]</span>
- train_arow(addBias(features),label) <span class="hljs-keyword">as</span> (feature,weight,covar) <span class="hljs-comment">-- [hivemall v0.2 or later]</span>
+ <span class="hljs-comment">-- train_arow(add_bias(features),label) as (feature,weight) -- [hivemall v0.1]</span>
+ train_arow(add_bias(features),label) <span class="hljs-keyword">as</span> (feature,weight,covar) <span class="hljs-comment">-- [hivemall v0.2 or later]</span>
<span class="hljs-keyword">from</span>
kdd10a_train_x3
) t
@@ -2295,7 +2325,7 @@
argmin_kld(weight, covar) <span class="hljs-keyword">as</span> weight
<span class="hljs-keyword">from</span>
(<span class="hljs-keyword">select</span>
- train_scw(addBias(features),label) <span class="hljs-keyword">as</span> (feature,weight,covar)
+ train_scw(add_bias(features),label) <span class="hljs-keyword">as</span> (feature,weight,covar)
<span class="hljs-keyword">from</span>
kdd10a_train_x3
) t
@@ -2410,7 +2440,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
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----------------------------------------------------------------------
diff --git a/userguide/binaryclass/kdd2010b.html b/userguide/binaryclass/kdd2010b.html
index 3ac8fe0..7fd9327 100644
--- a/userguide/binaryclass/kdd2010b.html
+++ b/userguide/binaryclass/kdd2010b.html
@@ -244,7 +244,7 @@
<b>1.3.1.</b>
- Explicit addBias() for better prediction
+ Explicit add_bias() for better prediction
</a>
@@ -707,14 +707,14 @@
- <li class="chapter " data-level="4.1" data-path="../eval/stat_eval.html">
+ <li class="chapter " data-level="4.1" data-path="../eval/binary_classification_measures.html">
- <a href="../eval/stat_eval.html">
+ <a href="../eval/binary_classification_measures.html">
<b>4.1.</b>
- Statistical evaluation of a prediction model
+ Binary Classification Metrics
</a>
@@ -743,13 +743,43 @@
</li>
- <li class="chapter " data-level="4.2" data-path="../eval/rank.html">
+ <li class="chapter " data-level="4.2" data-path="../eval/multilabel_classification_measures.html">
- <a href="../eval/rank.html">
+ <a href="../eval/multilabel_classification_measures.html">
<b>4.2.</b>
+ Multi-label Classification Metrics
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="4.3" data-path="../eval/regression.html">
+
+ <a href="../eval/regression.html">
+
+
+ <b>4.3.</b>
+
+ Regression metrics
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="4.4" data-path="../eval/rank.html">
+
+ <a href="../eval/rank.html">
+
+
+ <b>4.4.</b>
+
Ranking Measures
</a>
@@ -758,12 +788,12 @@
</li>
- <li class="chapter " data-level="4.3" data-path="../eval/datagen.html">
+ <li class="chapter " data-level="4.5" data-path="../eval/datagen.html">
<a href="../eval/datagen.html">
- <b>4.3.</b>
+ <b>4.5.</b>
Data Generation
@@ -774,12 +804,12 @@
<ul class="articles">
- <li class="chapter " data-level="4.3.1" data-path="../eval/lr_datagen.html">
+ <li class="chapter " data-level="4.5.1" data-path="../eval/lr_datagen.html">
<a href="../eval/lr_datagen.html">
- <b>4.3.1.</b>
+ <b>4.5.1.</b>
Logistic Regression data generation
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diff --git a/userguide/binaryclass/kdd2010b_arow.html b/userguide/binaryclass/kdd2010b_arow.html
index 80beba8..f57a467 100644
--- a/userguide/binaryclass/kdd2010b_arow.html
+++ b/userguide/binaryclass/kdd2010b_arow.html
@@ -244,7 +244,7 @@
<b>1.3.1.</b>
- Explicit addBias() for better prediction
+ Explicit add_bias() for better prediction
</a>
@@ -707,14 +707,14 @@
- <li class="chapter " data-level="4.1" data-path="../eval/stat_eval.html">
+ <li class="chapter " data-level="4.1" data-path="../eval/binary_classification_measures.html">
- <a href="../eval/stat_eval.html">
+ <a href="../eval/binary_classification_measures.html">
<b>4.1.</b>
- Statistical evaluation of a prediction model
+ Binary Classification Metrics
</a>
@@ -743,13 +743,43 @@
</li>
- <li class="chapter " data-level="4.2" data-path="../eval/rank.html">
+ <li class="chapter " data-level="4.2" data-path="../eval/multilabel_classification_measures.html">
- <a href="../eval/rank.html">
+ <a href="../eval/multilabel_classification_measures.html">
<b>4.2.</b>
+ Multi-label Classification Metrics
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="4.3" data-path="../eval/regression.html">
+
+ <a href="../eval/regression.html">
+
+
+ <b>4.3.</b>
+
+ Regression metrics
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="4.4" data-path="../eval/rank.html">
+
+ <a href="../eval/rank.html">
+
+
+ <b>4.4.</b>
+
Ranking Measures
</a>
@@ -758,12 +788,12 @@
</li>
- <li class="chapter " data-level="4.3" data-path="../eval/datagen.html">
+ <li class="chapter " data-level="4.5" data-path="../eval/datagen.html">
<a href="../eval/datagen.html">
- <b>4.3.</b>
+ <b>4.5.</b>
Data Generation
@@ -774,12 +804,12 @@
<ul class="articles">
- <li class="chapter " data-level="4.3.1" data-path="../eval/lr_datagen.html">
+ <li class="chapter " data-level="4.5.1" data-path="../eval/lr_datagen.html">
<a href="../eval/lr_datagen.html">
- <b>4.3.1.</b>
+ <b>4.5.1.</b>
Logistic Regression data generation
@@ -2165,8 +2195,8 @@
argmin_kld(weight, covar) <span class="hljs-keyword">as</span> weight <span class="hljs-comment">-- [hivemall v0.2alpha3 or later]</span>
<span class="hljs-keyword">from</span>
(<span class="hljs-keyword">select</span>
- <span class="hljs-comment">-- train_arow(addBias(features),label) as (feature,weight) -- [hivemall v0.1]</span>
- train_arow(addBias(features),label) <span class="hljs-keyword">as</span> (feature,weight,covar) <span class="hljs-comment">-- [hivemall v0.2 or later]</span>
+ <span class="hljs-comment">-- train_arow(add_bias(features),label) as (feature,weight) -- [hivemall v0.1]</span>
+ train_arow(add_bias(features),label) <span class="hljs-keyword">as</span> (feature,weight,covar) <span class="hljs-comment">-- [hivemall v0.2 or later]</span>
<span class="hljs-keyword">from</span>
kdd10b_train_x3
) t
@@ -2199,8 +2229,9 @@
<span class="hljs-keyword">where</span> actual = predicted;
</code></pre>
<blockquote>
-<p>0.8565808971393678
-<div id="page-footer" class="localized-footer"><hr><!--
+<p>0.8565808971393678</p>
+</blockquote>
+<p><div id="page-footer" class="localized-footer"><hr><!--
Licensed to the Apache Software Foundation (ASF) under one
or more contributor license agreements. See the NOTICE file
distributed with this work for additional information
@@ -2222,7 +2253,6 @@
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>
@@ -2256,7 +2286,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
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diff --git a/userguide/binaryclass/kdd2010b_dataset.html b/userguide/binaryclass/kdd2010b_dataset.html
index 8a40536..a1506e2 100644
--- a/userguide/binaryclass/kdd2010b_dataset.html
+++ b/userguide/binaryclass/kdd2010b_dataset.html
@@ -244,7 +244,7 @@
<b>1.3.1.</b>
- Explicit addBias() for better prediction
+ Explicit add_bias() for better prediction
</a>
@@ -707,14 +707,14 @@
- <li class="chapter " data-level="4.1" data-path="../eval/stat_eval.html">
+ <li class="chapter " data-level="4.1" data-path="../eval/binary_classification_measures.html">
- <a href="../eval/stat_eval.html">
+ <a href="../eval/binary_classification_measures.html">
<b>4.1.</b>
- Statistical evaluation of a prediction model
+ Binary Classification Metrics
</a>
@@ -743,13 +743,43 @@
</li>
- <li class="chapter " data-level="4.2" data-path="../eval/rank.html">
+ <li class="chapter " data-level="4.2" data-path="../eval/multilabel_classification_measures.html">
- <a href="../eval/rank.html">
+ <a href="../eval/multilabel_classification_measures.html">
<b>4.2.</b>
+ Multi-label Classification Metrics
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="4.3" data-path="../eval/regression.html">
+
+ <a href="../eval/regression.html">
+
+
+ <b>4.3.</b>
+
+ Regression metrics
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="4.4" data-path="../eval/rank.html">
+
+ <a href="../eval/rank.html">
+
+
+ <b>4.4.</b>
+
Ranking Measures
</a>
@@ -758,12 +788,12 @@
</li>
- <li class="chapter " data-level="4.3" data-path="../eval/datagen.html">
+ <li class="chapter " data-level="4.5" data-path="../eval/datagen.html">
<a href="../eval/datagen.html">
- <b>4.3.</b>
+ <b>4.5.</b>
Data Generation
@@ -774,12 +804,12 @@
<ul class="articles">
- <li class="chapter " data-level="4.3.1" data-path="../eval/lr_datagen.html">
+ <li class="chapter " data-level="4.5.1" data-path="../eval/lr_datagen.html">
<a href="../eval/lr_datagen.html">
- <b>4.3.1.</b>
+ <b>4.5.1.</b>
Logistic Regression data generation
@@ -2198,7 +2228,7 @@ awk <span class="hljs-_">-f</span> conv.awk kddb.t | hadoop fs -put - /dataset/k
<span class="hljs-keyword">split</span>(feature,<span class="hljs-string">":"</span>)[<span class="hljs-number">0</span>] <span class="hljs-keyword">as</span> feature,
<span class="hljs-keyword">cast</span>(<span class="hljs-keyword">split</span>(feature,<span class="hljs-string">":"</span>)[<span class="hljs-number">1</span>] <span class="hljs-keyword">as</span> <span class="hljs-built_in">float</span>) <span class="hljs-keyword">as</span> <span class="hljs-keyword">value</span>
<span class="hljs-keyword">from</span>
- kdd10b_test LATERAL <span class="hljs-keyword">VIEW</span> explode(addBias(features)) t <span class="hljs-keyword">AS</span> feature;
+ kdd10b_test LATERAL <span class="hljs-keyword">VIEW</span> explode(add_bias(features)) t <span class="hljs-keyword">AS</span> feature;
<span class="hljs-keyword">set</span> hivevar:xtimes=<span class="hljs-number">3</span>;
<span class="hljs-keyword">set</span> hivevar:shufflebuffersize=<span class="hljs-number">1000</span>;
@@ -2264,7 +2294,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
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----------------------------------------------------------------------
diff --git a/userguide/binaryclass/news20.html b/userguide/binaryclass/news20.html
index 5dd7cf7..4bc45c2 100644
--- a/userguide/binaryclass/news20.html
+++ b/userguide/binaryclass/news20.html
@@ -244,7 +244,7 @@
<b>1.3.1.</b>
- Explicit addBias() for better prediction
+ Explicit add_bias() for better prediction
</a>
@@ -707,14 +707,14 @@
- <li class="chapter " data-level="4.1" data-path="../eval/stat_eval.html">
+ <li class="chapter " data-level="4.1" data-path="../eval/binary_classification_measures.html">
- <a href="../eval/stat_eval.html">
+ <a href="../eval/binary_classification_measures.html">
<b>4.1.</b>
- Statistical evaluation of a prediction model
+ Binary Classification Metrics
</a>
@@ -743,13 +743,43 @@
</li>
- <li class="chapter " data-level="4.2" data-path="../eval/rank.html">
+ <li class="chapter " data-level="4.2" data-path="../eval/multilabel_classification_measures.html">
- <a href="../eval/rank.html">
+ <a href="../eval/multilabel_classification_measures.html">
<b>4.2.</b>
+ Multi-label Classification Metrics
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="4.3" data-path="../eval/regression.html">
+
+ <a href="../eval/regression.html">
+
+
+ <b>4.3.</b>
+
+ Regression metrics
+
+ </a>
+
+
+
+ </li>
+
+ <li class="chapter " data-level="4.4" data-path="../eval/rank.html">
+
+ <a href="../eval/rank.html">
+
+
+ <b>4.4.</b>
+
Ranking Measures
</a>
@@ -758,12 +788,12 @@
</li>
- <li class="chapter " data-level="4.3" data-path="../eval/datagen.html">
+ <li class="chapter " data-level="4.5" data-path="../eval/datagen.html">
<a href="../eval/datagen.html">
- <b>4.3.</b>
+ <b>4.5.</b>
Data Generation
@@ -774,12 +804,12 @@
<ul class="articles">
- <li class="chapter " data-level="4.3.1" data-path="../eval/lr_datagen.html">
+ <li class="chapter " data-level="4.5.1" data-path="../eval/lr_datagen.html">
<a href="../eval/lr_datagen.html">
- <b>4.3.1.</b>
+ <b>4.5.1.</b>
Logistic Regression data generation
@@ -2210,7 +2240,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
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