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Posted to commits@hivemall.apache.org by my...@apache.org on 2017/09/13 14:10:19 UTC
[07/23] incubator-hivemall-site git commit: Updated userguide for
evaluation section
http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/a98b42f8/userguide/recommend/news20_bbit_minhash.html
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diff --git a/userguide/recommend/news20_bbit_minhash.html b/userguide/recommend/news20_bbit_minhash.html
index e342fee..b391376 100644
--- a/userguide/recommend/news20_bbit_minhash.html
+++ b/userguide/recommend/news20_bbit_minhash.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
@@ -2300,7 +2330,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
<script>
var gitbook = gitbook || [];
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ovielens_cv.md","articles":[]}]},"previous":{"title":"LSH/Minhash and Brute-Force Search","level":"9.2.3","depth":2,"path":"recommend/news20_knn.md","ref":"recommend/news20_knn.md","articles":[]},"dir":"ltr"},"config":{"plugins":["theme-api","edit-link","github","splitter","sitemap","etoc","callouts","toggle-chapters","anchorjs","codeblock-filename","expandable-chapters","multipart","codeblock-filename","katex","emphasize","localized-footer"],"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"pluginsConfig":{"emphasize":{},"callouts":{},"etoc":{"h2lb":3,"header":1,"maxdepth":3,"mindepth":1,"notoc":true},"github":{"url":"https://github.com/apache/incubator-hivemall/"},"splitter":{},"search":{},"downloadpdf":{"base":"https://github.com/apache/incubator-hivemall/docs/gitbook","label":"PDF","multilingual":false},"multipart":{},"localized-footer":{"filename":"FOOTER.md",
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http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/a98b42f8/userguide/recommend/news20_jaccard.html
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diff --git a/userguide/recommend/news20_jaccard.html b/userguide/recommend/news20_jaccard.html
index 7d488cb..146f9d8 100644
--- a/userguide/recommend/news20_jaccard.html
+++ b/userguide/recommend/news20_jaccard.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
@@ -2321,7 +2351,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
<script>
var gitbook = gitbook || [];
gitbook.push(function() {
- gitbook.page.hasChanged({"page":{"title":"LSH/Minhash and Jaccard Similarity","level":"9.2.2","depth":2,"next":{"title":"LSH/Minhash and Brute-Force Search","level":"9.2.3","depth":2,"path":"recommend/news20_knn.md","ref":"recommend/news20_knn.md","articles":[]},"previous":{"title":"Data preparation","level":"9.2.1","depth":2,"path":"multiclass/news20_dataset.md","ref":"multiclass/news20_dataset.md","articles":[]},"dir":"ltr"},"config":{"plugins":["theme-api","edit-link","github","splitter","sitemap","etoc","callouts","toggle-chapters","anchorjs","codeblock-filename","expandable-chapters","multipart","codeblock-filename","katex","emphasize","localized-footer"],"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"pluginsConfig":{"emphasize":{},"callouts":{},"etoc":{"h2lb":3,"header":1,"maxdepth":3,"mindepth":1,"notoc":true},"github":{"url":"https://github.c
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http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/a98b42f8/userguide/recommend/news20_knn.html
----------------------------------------------------------------------
diff --git a/userguide/recommend/news20_knn.html b/userguide/recommend/news20_knn.html
index b860fc5..944f87e 100644
--- a/userguide/recommend/news20_knn.html
+++ b/userguide/recommend/news20_knn.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
@@ -2378,7 +2408,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
<script>
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http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/a98b42f8/userguide/regression/e2006.html
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diff --git a/userguide/regression/e2006.html b/userguide/regression/e2006.html
index 0934860..5bdeb7f 100644
--- a/userguide/regression/e2006.html
+++ b/userguide/regression/e2006.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">
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+ <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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http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/a98b42f8/userguide/regression/e2006_arow.html
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diff --git a/userguide/regression/e2006_arow.html b/userguide/regression/e2006_arow.html
index 5c1e064..7696351 100644
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+++ b/userguide/regression/e2006_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 @@
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- <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
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@@ -743,13 +743,43 @@
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- <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 @@
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- <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
@@ -2167,7 +2197,7 @@
<span class="hljs-keyword">avg</span>(weight) <span class="hljs-keyword">as</span> weight
<span class="hljs-keyword">from</span>
(<span class="hljs-keyword">select</span>
- train_pa1a_regr(addBias(features),target) <span class="hljs-keyword">as</span> (feature,weight)
+ train_pa1a_regr(add_bias(features),target) <span class="hljs-keyword">as</span> (feature,weight)
<span class="hljs-keyword">from</span>
e2006tfidf_train_x3
) t
@@ -2226,7 +2256,7 @@
<span class="hljs-keyword">avg</span>(weight) <span class="hljs-keyword">as</span> weight
<span class="hljs-keyword">from</span>
(<span class="hljs-keyword">select</span>
- train_pa2a_regr(addBias(features),target) <span class="hljs-keyword">as</span> (feature,weight)
+ train_pa2a_regr(add_bias(features),target) <span class="hljs-keyword">as</span> (feature,weight)
<span class="hljs-keyword">from</span>
e2006tfidf_train_x3
) t
@@ -2285,8 +2315,8 @@
argmin_kld(weight, covar) <span class="hljs-keyword">as</span> weight <span class="hljs-comment">-- [hivemall v0.2 or later]</span>
<span class="hljs-keyword">from</span>
(<span class="hljs-keyword">select</span>
- <span class="hljs-comment">-- train_arow_regr(addBias(features),target) as (feature,weight) -- [hivemall v0.1]</span>
- train_arow_regr(addBias(features),target) <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_regr(add_bias(features),target) as (feature,weight) -- [hivemall v0.1]</span>
+ train_arow_regr(add_bias(features),target) <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>
e2006tfidf_train_x3
) t
@@ -2346,8 +2376,8 @@
argmin_kld(weight, covar) <span class="hljs-keyword">as</span> weight <span class="hljs-comment">-- [hivemall v0.2 or later]</span>
<span class="hljs-keyword">from</span>
(<span class="hljs-keyword">select</span>
- <span class="hljs-comment">-- train_arowe_regr(addBias(features),target) as (feature,weight) -- [hivemall v0.1]</span>
- train_arowe_regr(addBias(features),target) <span class="hljs-keyword">as</span> (feature,weight,covar) <span class="hljs-comment">-- [hivemall v0.2 or later]</span>
+ <span class="hljs-comment">-- train_arowe_regr(add_bias(features),target) as (feature,weight) -- [hivemall v0.1]</span>
+ train_arowe_regr(add_bias(features),target) <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>
e2006tfidf_train_x3
) t
@@ -2449,7 +2479,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
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+ gitbook.page.hasChanged({"page":{"title":"Passive Aggressive, AROW","level":"8.2.2","depth":2,"next":{"title":"KDDCup 2012 track 2 CTR prediction tutorial","level":"8.3","depth":1,"path":"regression/kddcup12tr2.md","ref":"regression/kddcup12tr2.md","articles":[{"title":"Data preparation","level":"8.3.1","depth":2,"path":"regression/kddcup12tr2_dataset.md","ref":"regression/kddcup12tr2_dataset.md","articles":[]},{"title":"Logistic Regression, Passive Aggressive","level":"8.3.2","depth":2,"path":"regression/kddcup12tr2_lr.md","ref":"regression/kddcup12tr2_lr.md","articles":[]},{"title":"Logistic Regression with Amplifier","level":"8.3.3","depth":2,"path":"regression/kddcup12tr2_lr_amplify.md","ref":"regression/kddcup12tr2_lr_amplify.md","articles":[]},{"title":"AdaGrad, AdaDelta","level":"8.3.4","depth":2,"path":"regression/kddcup12tr2_adagrad.md","ref":"regression/kddcup12tr2_adagrad.md","articles":[]}]},"previous":{"title":"Data preparation","level":"8.2.1","depth":2,"pa
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</div>
http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/a98b42f8/userguide/regression/e2006_dataset.html
----------------------------------------------------------------------
diff --git a/userguide/regression/e2006_dataset.html b/userguide/regression/e2006_dataset.html
index c8d6e7a..43c739e 100644
--- a/userguide/regression/e2006_dataset.html
+++ b/userguide/regression/e2006_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
@@ -2155,12 +2185,10 @@
specific language governing permissions and limitations
under the License.
-->
-<p><a href="http://www.csie.ntu.edu.tw/~cjlin/libsvmtools/datasets/regression.html#E2006-tfidf" target="_blank">http://www.csie.ntu.edu.tw/~cjlin/libsvmtools/datasets/regression.html#E2006-tfidf</a></p>
<h1 id="prerequisite">Prerequisite</h1>
<ul>
-<li><a href="https://github.com/myui/hivemall/tree/master/target/hivemall.jar" target="_blank">hivemall.jar</a></li>
-<li><a href="https://github.com/myui/hivemall/tree/master/scripts/misc/conv.awk" target="_blank">conv.awk</a></li>
-<li><a href="https://github.com/myui/hivemall/tree/master/scripts/ddl/define-all.hive" target="_blank">define-all.hive</a></li>
+<li><a href="http://www.csie.ntu.edu.tw/~cjlin/libsvmtools/datasets/regression.html#E2006-tfidf" target="_blank">E2006-tfidf Dataset</a></li>
+<li><a href="https://github.com/apache/incubator-hivemall/blob/master/resources/misc/conv.awk" target="_blank">conv.awk</a></li>
</ul>
<h1 id="data-preparation">Data preparation</h1>
<pre><code class="lang-sh"><span class="hljs-built_in">cd</span> /mnt/archive/datasets/regression/E2006-tfidf
@@ -2175,12 +2203,7 @@ hadoop fs -put E2006.test.tsv /dataset/E2006-tfidf/<span class="hljs-built_in">t
<pre><code class="lang-sql"><span class="hljs-keyword">create</span> <span class="hljs-keyword">database</span> E2006;
<span class="hljs-keyword">use</span> E2006;
-<span class="hljs-keyword">delete</span> jar /home/myui/tmp/hivemall.jar;
-add jar /home/myui/tmp/hivemall.jar;
-
-source /home/myui/tmp/define-all.hive;
-
-<span class="hljs-keyword">Create</span> <span class="hljs-keyword">external</span> <span class="hljs-keyword">table</span> e2006tfidf_train (
+<span class="hljs-keyword">create</span> <span class="hljs-keyword">external</span> <span class="hljs-keyword">table</span> e2006tfidf_train (
<span class="hljs-keyword">rowid</span> <span class="hljs-built_in">int</span>,
target <span class="hljs-built_in">float</span>,
features <span class="hljs-built_in">ARRAY</span><<span class="hljs-keyword">STRING</span>>
@@ -2188,7 +2211,7 @@ source /home/myui/tmp/define-all.hive;
<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/E2006-tfidf/train'</span>;
-<span class="hljs-keyword">Create</span> <span class="hljs-keyword">external</span> <span class="hljs-keyword">table</span> e2006tfidf_test (
+<span class="hljs-keyword">create</span> <span class="hljs-keyword">external</span> <span class="hljs-keyword">table</span> e2006tfidf_test (
<span class="hljs-keyword">rowid</span> <span class="hljs-built_in">int</span>,
target <span class="hljs-built_in">float</span>,
features <span class="hljs-built_in">ARRAY</span><<span class="hljs-keyword">STRING</span>>
@@ -2200,23 +2223,26 @@ source /home/myui/tmp/define-all.hive;
<span class="hljs-keyword">select</span>
<span class="hljs-keyword">rowid</span>,
target,
- <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-comment">-- split(feature,":")[0] as feature,</span>
+ <span class="hljs-comment">-- cast(split(feature,":")[1] as float) as value</span>
<span class="hljs-comment">-- hivemall v0.3.1 or later</span>
- <span class="hljs-comment">-- extract_feature(feature) as feature,</span>
- <span class="hljs-comment">-- extract_weight(feature) as value</span>
+ extract_feature(feature) <span class="hljs-keyword">as</span> feature,
+ extract_weight(feature) <span class="hljs-keyword">as</span> <span class="hljs-keyword">value</span>
<span class="hljs-keyword">from</span>
- e2006tfidf_test LATERAL <span class="hljs-keyword">VIEW</span> explode(addBias(features)) t <span class="hljs-keyword">AS</span> feature;
+ e2006tfidf_test LATERAL <span class="hljs-keyword">VIEW</span> explode(add_bias(features)) t <span class="hljs-keyword">AS</span> feature;
</code></pre>
<h2 id="amplify-training-examples-global-shuffle">Amplify training examples (global shuffle)</h2>
<pre><code class="lang-sql"><span class="hljs-comment">-- set mapred.reduce.tasks=32;</span>
<span class="hljs-keyword">set</span> hivevar:<span class="hljs-keyword">seed</span>=<span class="hljs-number">31</span>;
<span class="hljs-keyword">set</span> hivevar:xtimes=<span class="hljs-number">3</span>;
+
<span class="hljs-keyword">create</span> <span class="hljs-keyword">or</span> <span class="hljs-keyword">replace</span> <span class="hljs-keyword">view</span> e2006tfidf_train_x3 <span class="hljs-keyword">as</span>
<span class="hljs-keyword">select</span> * <span class="hljs-keyword">from</span> (
-<span class="hljs-keyword">select</span> amplify(${xtimes}, *) <span class="hljs-keyword">as</span> (<span class="hljs-keyword">rowid</span>, target, features) <span class="hljs-keyword">from</span> e2006tfidf_train
+ <span class="hljs-keyword">select</span> amplify(${xtimes}, *) <span class="hljs-keyword">as</span> (<span class="hljs-keyword">rowid</span>, target, features)
+ <span class="hljs-keyword">from</span> e2006tfidf_train
) t
CLUSTER <span class="hljs-keyword">BY</span> <span class="hljs-keyword">rand</span>(${<span class="hljs-keyword">seed</span>});
+
<span class="hljs-comment">-- set mapred.reduce.tasks=-1;</span>
</code></pre>
<p><div id="page-footer" class="localized-footer"><hr><!--
@@ -2274,7 +2300,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
<script>
var gitbook = gitbook || [];
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</div>
http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/a98b42f8/userguide/regression/general.html
----------------------------------------------------------------------
diff --git a/userguide/regression/general.html b/userguide/regression/general.html
index a422c67..dc76088 100644
--- a/userguide/regression/general.html
+++ b/userguide/regression/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
@@ -2162,7 +2192,7 @@
<li><a href="e2006_arow.html#arow">AROW</a></li>
<li><a href="e2006_arow.html#arowe">AROWe</a></li>
</ul>
-<p>Our <code>train_regression</code> function enables you to solve the regression problems with flexible configureable options. Let us try the function below.</p>
+<p>Our <code>train_regressor</code> function enables you to solve the regression problems with flexible configurable options. Let us try the function below.</p>
<p>It should be noted that the sample queries require you to prepare <a href="http://www.csie.ntu.edu.tw/~cjlin/libsvmtools/datasets/regression.html#E2006-tfidf" target="_blank">E2006-tfidf data</a>. See <a href="e2006_dataset.html">our E2006-tfidf tutorial page</a> for further instructions.</p>
<!-- toc --><div id="toc" class="toc">
@@ -2180,7 +2210,7 @@
<span class="hljs-keyword">avg</span>(weight) <span class="hljs-keyword">as</span> weight
<span class="hljs-keyword">from</span> (
<span class="hljs-keyword">select</span>
- train_regression(features,target,<span class="hljs-string">'-loss squaredloss -opt AdaGrad -reg no'</span>) <span class="hljs-keyword">as</span> (feature,weight)
+ train_regressor(features,target,<span class="hljs-string">'-loss squaredloss -opt AdaGrad -reg no'</span>) <span class="hljs-keyword">as</span> (feature,weight)
<span class="hljs-keyword">from</span>
e2006tfidf_train_x3
) t
@@ -2262,7 +2292,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda
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