http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/a98b42f8/userguide/multiclass/news20_pa.html ---------------------------------------------------------------------- diff --git a/userguide/multiclass/news20_pa.html b/userguide/multiclass/news20_pa.html index f8d5b03..6e3d072 100644 --- a/userguide/multiclass/news20_pa.html +++ b/userguide/multiclass/news20_pa.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 @@ -2173,7 +2203,7 @@ source /home/myui/tmp/define-all.hive; voted_avg(weight) <span class="hljs-keyword">as</span> weight <span class="hljs-keyword">from</span> (<span class="hljs-keyword">select</span> - train_multiclass_pa2(addBias(features),label) <span class="hljs-keyword">as</span> (label,feature,weight) + train_multiclass_pa2(add_bias(features),label) <span class="hljs-keyword">as</span> (label,feature,weight) <span class="hljs-keyword">from</span> news20mc_train_x3 ) t @@ -2280,7 +2310,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda <script> var gitbook = gitbook || []; gitbook.push(function() { - gitbook.page.hasChanged({"page":{"title":"PA","level":"7.1.3","depth":2,"next":{"title":"CW, AROW, SCW","level":"7.1.4","depth":2,"path":"multiclass/news20_scw.md","ref":"multiclass/news20_scw.md","articles":[]},"previous":{"title":"Data preparation for one-vs-the-rest classifiers","level":"7.1.2","depth":2,"path":"multiclass/news20_one-vs-the-rest_dataset.md","ref":"multiclass/news20_one-vs-the-rest_dataset.md","articles":[]},"dir":"ltr"},"config":{"plugins":["theme-api","edit-link","github","splitter","sitemap","etoc","callouts","toggle-chapters","anchorjs","codeblock-filename","expandable-chapters","multipart","codeblock-filename","katex","emphasize","localized-footer"],"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"pluginsConfig":{"emphasize":{},"callouts":{},"etoc":{"h2lb":3,"header":1,"maxdepth":3,"mindepth":1,"notoc":true},"github":{"url":"htt ps://github.com/apache/incubator-hivemall/"},"splitter":{},"search":{},"downloadpdf":{"base":"https://github.com/apache/incubator-hivemall/docs/gitbook","label":"PDF","multilingual":false},"multipart":{},"localized-footer":{"filename":"FOOTER.md","hline":"true"},"lunr":{"maxIndexSize":1000000,"ignoreSpecialCharacters":false},"katex":{},"fontsettings":{"theme":"white","family":"sans","size":2,"font":"sans"},"highlight":{},"codeblock-filename":{},"sitemap":{"hostname":"http://hivemall.incubator.apache.org/"},"theme-api":{"languages":[],"split":false,"theme":"dark"},"sharing":{"facebook":true,"twitter":true,"google":false,"weibo":false,"instapaper":false,"vk":false,"all":["facebook","google","twitter","weibo","instapaper"]},"edit-link":{"label":"Edit","base":"https://github.com/apache/incubator-hivemall/docs/gitbook"},"theme-default":{"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"sty les/print.css"},"showLevel":true},"anchorjs":{"selector":"h1,h2,h3,*:not(.callout) > h4,h5"},"toggle-chapters":{},"expandable-chapters":{}},"theme":"default","pdf":{"pageNumbers":true,"fontSize":12,"fontFamily":"Arial","paperSize":"a4","chapterMark":"pagebreak","pageBreaksBefore":"/","margin":{"right":62,"left":62,"top":56,"bottom":56}},"structure":{"langs":"LANGS.md","readme":"README.md","glossary":"GLOSSARY.md","summary":"SUMMARY.md"},"variables":{},"title":"Hivemall User Manual","links":{"sidebar":{"<i class=\"fa fa-home\"></i> Home":"http://hivemall.incubator.apache.org/"}},"gitbook":"3.x.x","description":"User Manual for Apache Hivemall"},"file":{"path":"multiclass/news20_pa.md","mtime":"2016-12-02T08:02:42.000Z","type":"markdown"},"gitbook":{"version":"3.2.2","time":"2017-07-14T17:59:22.591Z"},"basePath":"..","book":{"language":""}}); 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http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/a98b42f8/userguide/multiclass/news20_scw.html ---------------------------------------------------------------------- diff --git a/userguide/multiclass/news20_scw.html b/userguide/multiclass/news20_scw.html index 013fe98..022d05c 100644 --- a/userguide/multiclass/news20_scw.html +++ b/userguide/multiclass/news20_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 @@ -2205,8 +2235,8 @@ source /home/myui/tmp/define-all.hive; 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_multiclass_cw(addBias(features),label) as (label,feature,weight) -- [hivemall v0.1]</span> - train_multiclass_cw(addBias(features),label) <span class="hljs-keyword">as</span> (label,feature,weight,covar) <span class="hljs-comment">-- [hivemall v0.2 or later]</span> + <span class="hljs-comment">-- train_multiclass_cw(add_bias(features),label) as (label,feature,weight) -- [hivemall v0.1]</span> + train_multiclass_cw(add_bias(features),label) <span class="hljs-keyword">as</span> (label,feature,weight,covar) <span class="hljs-comment">-- [hivemall v0.2 or later]</span> <span class="hljs-keyword">from</span> news20mc_train_x3 ) t @@ -2268,8 +2298,8 @@ where actual == predicted; 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_multiclass_arow(addBias(features),label) as (label,feature,weight) -- [hivemall v0.1]</span> - train_multiclass_arow(addBias(features),label) <span class="hljs-keyword">as</span> (label,feature,weight,covar) <span class="hljs-comment">-- [hivemall v0.2 or later]</span> + <span class="hljs-comment">-- train_multiclass_arow(add_bias(features),label) as (label,feature,weight) -- [hivemall v0.1]</span> + train_multiclass_arow(add_bias(features),label) <span class="hljs-keyword">as</span> (label,feature,weight,covar) <span class="hljs-comment">-- [hivemall v0.2 or later]</span> <span class="hljs-keyword">from</span> news20mc_train_x3 ) t @@ -2331,8 +2361,8 @@ where actual == predicted; 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_multiclass_scw(addBias(features),label) as (label,feature,weight) -- [hivemall v0.1]</span> - train_multiclass_scw(addBias(features),label) <span class="hljs-keyword">as</span> (label,feature,weight,covar) <span class="hljs-comment">-- [hivemall v0.2 or later]</span> + <span class="hljs-comment">-- train_multiclass_scw(add_bias(features),label) as (label,feature,weight) -- [hivemall v0.1]</span> + train_multiclass_scw(add_bias(features),label) <span class="hljs-keyword">as</span> (label,feature,weight,covar) <span class="hljs-comment">-- [hivemall v0.2 or later]</span> <span class="hljs-keyword">from</span> news20mc_train_x3 ) t @@ -2394,8 +2424,8 @@ where actual == predicted; 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_multiclass_scw2(addBias(features),label) as (label,feature,weight) -- [hivemall v0.1]</span> - train_multiclass_scw2(addBias(features),label) <span class="hljs-keyword">as</span> (label,feature,weight,covar) <span class="hljs-comment">-- [hivemall v0.2 or later]</span> + <span class="hljs-comment">-- train_multiclass_scw2(add_bias(features),label) as (label,feature,weight) -- [hivemall v0.1]</span> + train_multiclass_scw2(add_bias(features),label) <span class="hljs-keyword">as</span> (label,feature,weight,covar) <span class="hljs-comment">-- [hivemall v0.2 or later]</span> <span class="hljs-keyword">from</span> news20mc_train_x3 ) t @@ -2500,7 +2530,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda <script> var gitbook = gitbook || []; 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}); </script> </div> http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/a98b42f8/userguide/recommend/cf.html ---------------------------------------------------------------------- diff --git a/userguide/recommend/cf.html b/userguide/recommend/cf.html index 4258b3d..fd4bccf 100644 --- a/userguide/recommend/cf.html +++ b/userguide/recommend/cf.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 || []; 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However, this kind of usage has a potential issue that multiple <code>rec_item</code>-s which have the exactly same <code>rank</code> will be aggregated to single arbitrary <code>rec_item</code>, because <code>to_ordered_map()</code> creates a key-value map which uses duplicated <code>rank</code> as key.</p><p>Since such situation is possible in case that <code>each_top_k()</code> is executed for different <code>userid</code>-s who have the same <code>cnt</code> or <code>similarity</code>, we recommend you to use <code>to_ordered_list(rec_item, rank, '-reverse')</code> instead of <code>map_values(to_ordered_map(rank, rec_item, true))</code>. The alternative approach is available from Hivemall v0.5-rc.1 or later.</p></div></div> <h3 id="cooccurrence-based">Cooccurrence-based</h3> <pre><code class="lang-sql">WITH topk as ( <span class="hljs-keyword">select</span> @@ -2968,7 +2999,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda <script> var gitbook = gitbook || []; gitbook.push(function() { - gitbook.page.hasChanged({"page":{"title":"Item-based Collaborative Filtering","level":"9.1.1","depth":2,"next":{"title":"News20 related article recommendation Tutorial","level":"9.2","depth":1,"path":"recommend/news20.md","ref":"recommend/news20.md","articles":[{"title":"Data preparation","level":"9.2.1","depth":2,"path":"multiclass/news20_dataset.md","ref":"multiclass/news20_dataset.md","articles":[]},{"title":"LSH/Minhash and Jaccard Similarity","level":"9.2.2","depth":2,"path":"recommend/news20_jaccard.md","ref":"recommend/news20_jaccard.md","articles":[]},{"title":"LSH/Minhash and Brute-Force Search","level":"9.2.3","depth":2,"path":"recommend/news20_knn.md","ref":"recommend/news20_knn.md","articles":[]},{"title":"kNN search using b-Bits Minhash","level":"9.2.4","depth":2,"path":"recommend/news20_bbit_minhash.md","ref":"recommend/news20_bbit_minhash.md","articles":[]}]},"previous":{"title":"Collaborative Filtering","level":"9.1","depth":1,"path":"recommend/cf.md","re f":"recommend/cf.md","articles":[{"title":"Item-based Collaborative Filtering","level":"9.1.1","depth":2,"path":"recommend/item_based_cf.md","ref":"recommend/item_based_cf.md","articles":[]}]},"dir":"ltr"},"config":{"plugins":["theme-api","edit-link","github","splitter","sitemap","etoc","callouts","toggle-chapters","anchorjs","codeblock-filename","expandable-chapters","multipart","codeblock-filename","katex","emphasize","localized-footer"],"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"pluginsConfig":{"emphasize":{},"callouts":{},"etoc":{"h2lb":3,"header":1,"maxdepth":3,"mindepth":1,"notoc":true},"github":{"url":"https://github.com/apache/incubator-hivemall/"},"splitter":{},"search":{},"downloadpdf":{"base":"https://github.com/apache/incubator-hivemall/docs/gitbook","label":"PDF","multilingual":false},"multipart":{},"localized-footer":{"filename":"FOOTER.md","hl ine":"true"},"lunr":{"maxIndexSize":1000000,"ignoreSpecialCharacters":false},"katex":{},"fontsettings":{"theme":"white","family":"sans","size":2,"font":"sans"},"highlight":{},"codeblock-filename":{},"sitemap":{"hostname":"http://hivemall.incubator.apache.org/"},"theme-api":{"languages":[],"split":false,"theme":"dark"},"sharing":{"facebook":true,"twitter":true,"google":false,"weibo":false,"instapaper":false,"vk":false,"all":["facebook","google","twitter","weibo","instapaper"]},"edit-link":{"label":"Edit","base":"https://github.com/apache/incubator-hivemall/docs/gitbook"},"theme-default":{"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"showLevel":true},"anchorjs":{"selector":"h1,h2,h3,*:not(.callout) > h4,h5"},"toggle-chapters":{},"expandable-chapters":{}},"theme":"default","pdf":{"pageNumbers":true,"fontSize":12,"fontFamily":"Arial","paperSize":"a4","chapterMark": "pagebreak","pageBreaksBefore":"/","margin":{"right":62,"left":62,"top":56,"bottom":56}},"structure":{"langs":"LANGS.md","readme":"README.md","glossary":"GLOSSARY.md","summary":"SUMMARY.md"},"variables":{},"title":"Hivemall User Manual","links":{"sidebar":{"<i class=\"fa fa-home\"></i> Home":"http://hivemall.incubator.apache.org/"}},"gitbook":"3.x.x","description":"User Manual for Apache Hivemall"},"file":{"path":"recommend/item_based_cf.md","mtime":"2017-06-07T07:59:33.000Z","type":"markdown"},"gitbook":{"version":"3.2.2","time":"2017-07-14T17:59:22.591Z"},"basePath":"..","book":{"language":""}}); 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