http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/a98b42f8/userguide/recommend/news20_bbit_minhash.html ---------------------------------------------------------------------- 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 || []; gitbook.push(function() { - gitbook.page.hasChanged({"page":{"title":"kNN search using b-Bits Minhash","level":"9.2.4","depth":2,"next":{"title":"MovieLens movie recommendation Tutorial","level":"9.3","depth":1,"path":"recommend/movielens.md","ref":"recommend/movielens.md","articles":[{"title":"Data preparation","level":"9.3.1","depth":2,"path":"recommend/movielens_dataset.md","ref":"recommend/movielens_dataset.md","articles":[]},{"title":"Item-based Collaborative Filtering","level":"9.3.2","depth":2,"path":"recommend/movielens_cf.md","ref":"recommend/movielens_cf.md","articles":[]},{"title":"Matrix Factorization","level":"9.3.3","depth":2,"path":"recommend/movielens_mf.md","ref":"recommend/movielens_mf.md","articles":[]},{"title":"Factorization Machine","level":"9.3.4","depth":2,"path":"recommend/movielens_fm.md","ref":"recommend/movielens_fm.md","articles":[]},{"title":"10-fold Cross Validation (Matrix Factorization)","level":"9.3.5","depth":2,"path":"recommend/movielens_cv.md","ref":"recommend/m 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";, "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":"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","chapterMar k":"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/news20_bbit_minhash.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":""}}); + gitbook.page.hasChanged({"page":{"title":"kNN search using b-Bits Minhash","level":"9.2.4","depth":2,"next":{"title":"MovieLens movie recommendation Tutorial","level":"9.3","depth":1,"path":"recommend/movielens.md","ref":"recommend/movielens.md","articles":[{"title":"Data preparation","level":"9.3.1","depth":2,"path":"recommend/movielens_dataset.md","ref":"recommend/movielens_dataset.md","articles":[]},{"title":"Item-based Collaborative Filtering","level":"9.3.2","depth":2,"path":"recommend/movielens_cf.md","ref":"recommend/movielens_cf.md","articles":[]},{"title":"Matrix Factorization","level":"9.3.3","depth":2,"path":"recommend/movielens_mf.md","ref":"recommend/movielens_mf.md","articles":[]},{"title":"Factorization Machine","level":"9.3.4","depth":2,"path":"recommend/movielens_fm.md","ref":"recommend/movielens_fm.md","articles":[]},{"title":"10-fold Cross Validation (Matrix Factorization)","level":"9.3.5","depth":2,"path":"recommend/movielens_cv.md","ref":"recommend/m 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";, "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":"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","chapterMar k":"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/news20_bbit_minhash.md","mtime":"2017-07-20T11:24:46.000Z","type":"markdown"},"gitbook":{"version":"3.2.2","time":"2017-09-13T14:07:31.053Z"},"basePath":"..","book":{"language":""}}); }); </script> </div>
http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/a98b42f8/userguide/recommend/news20_jaccard.html ---------------------------------------------------------------------- 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 om/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":"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/news20_jaccard.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":""}}); + 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 om/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":"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/news20_jaccard.md","mtime":"2017-07-20T11:24:46.000Z","type":"markdown"},"gitbook":{"version":"3.2.2","time":"2017-09-13T14:07:31.053Z"},"basePath":"..","book":{"language":""}}); }); </script> </div> 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> var gitbook = gitbook || []; gitbook.push(function() { - gitbook.page.hasChanged({"page":{"title":"LSH/Minhash and Brute-Force Search","level":"9.2.3","depth":2,"next":{"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":"LSH/Minhash and Jaccard Similarity","level":"9.2.2","depth":2,"path":"recommend/news20_jaccard.md","ref":"recommend/news20_jaccard.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},"g ithub":{"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","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":"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/news20_knn.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":""}}); + gitbook.page.hasChanged({"page":{"title":"LSH/Minhash and Brute-Force Search","level":"9.2.3","depth":2,"next":{"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":"LSH/Minhash and Jaccard Similarity","level":"9.2.2","depth":2,"path":"recommend/news20_jaccard.md","ref":"recommend/news20_jaccard.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},"g ithub":{"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","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":"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/news20_knn.md","mtime":"2017-07-20T09:43:22.000Z","type":"markdown"},"gitbook":{"version":"3.2.2","time":"2017-09-13T14:07:31.053Z"},"basePath":"..","book":{"language":""}}); }); </script> </div> http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/a98b42f8/userguide/regression/e2006.html ---------------------------------------------------------------------- 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"> - <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":"E2006-tfidf regression tutorial","level":"8.2","depth":1,"next":{"title":"Data preparation","level":"8.2.1","depth":2,"path":"regression/e2006_dataset.md","ref":"regression/e2006_dataset.md","articles":[]},"previous":{"title":"Regression","level":"8.1","depth":1,"path":"regression/general.md","ref":"regression/general.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/"},"spli tter":{},"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":"styles/print.css"},"showLevel":true},"anchorjs":{"sel ector":"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":"regression/e2006.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":""}}); + gitbook.page.hasChanged({"page":{"title":"E2006-tfidf regression tutorial","level":"8.2","depth":1,"next":{"title":"Data preparation","level":"8.2.1","depth":2,"path":"regression/e2006_dataset.md","ref":"regression/e2006_dataset.md","articles":[]},"previous":{"title":"Regression","level":"8.1","depth":1,"path":"regression/general.md","ref":"regression/general.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/"},"spli tter":{},"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":"styles/print.css"},"showLevel":true},"anchorjs":{"sel ector":"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":"regression/e2006.md","mtime":"2017-07-20T09:43:22.000Z","type":"markdown"},"gitbook":{"version":"3.2.2","time":"2017-09-13T14:07:31.053Z"},"basePath":"..","book":{"language":""}}); }); </script> </div> http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/a98b42f8/userguide/regression/e2006_arow.html ---------------------------------------------------------------------- diff --git a/userguide/regression/e2006_arow.html b/userguide/regression/e2006_arow.html index 5c1e064..7696351 100644 --- a/userguide/regression/e2006_arow.html +++ 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 @@ - <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 @@ -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 <script> var gitbook = gitbook || []; gitbook.push(function() { - 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 th":"regression/e2006_dataset.md","ref":"regression/e2006_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.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":{"the me":"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":"regression/e2006_arow.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":""}}); + 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 th":"regression/e2006_dataset.md","ref":"regression/e2006_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.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":{"the me":"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":"regression/e2006_arow.md","mtime":"2017-07-20T11:24:46.000Z","type":"markdown"},"gitbook":{"version":"3.2.2","time":"2017-09-13T14:07:31.053Z"},"basePath":"..","book":{"language":""}}); }); </script> </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 || []; gitbook.push(function() { - gitbook.page.hasChanged({"page":{"title":"Data preparation","level":"8.2.1","depth":2,"next":{"title":"Passive Aggressive, AROW","level":"8.2.2","depth":2,"path":"regression/e2006_arow.md","ref":"regression/e2006_arow.md","articles":[]},"previous":{"title":"E2006-tfidf regression tutorial","level":"8.2","depth":1,"path":"regression/e2006.md","ref":"regression/e2006.md","articles":[{"title":"Data preparation","level":"8.2.1","depth":2,"path":"regression/e2006_dataset.md","ref":"regression/e2006_dataset.md","articles":[]},{"title":"Passive Aggressive, AROW","level":"8.2.2","depth":2,"path":"regression/e2006_arow.md","ref":"regression/e2006_arow.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","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":"Edi t","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":"regression/e2006_dataset.md","mtime":"2016-12-02T08:02:42.000Z","type":"markdown"},"gitb ook":{"version":"3.2.2","time":"2017-07-14T17:59:22.591Z"},"basePath":"..","book":{"language":""}}); + gitbook.page.hasChanged({"page":{"title":"Data preparation","level":"8.2.1","depth":2,"next":{"title":"Passive Aggressive, AROW","level":"8.2.2","depth":2,"path":"regression/e2006_arow.md","ref":"regression/e2006_arow.md","articles":[]},"previous":{"title":"E2006-tfidf regression tutorial","level":"8.2","depth":1,"path":"regression/e2006.md","ref":"regression/e2006.md","articles":[{"title":"Data preparation","level":"8.2.1","depth":2,"path":"regression/e2006_dataset.md","ref":"regression/e2006_dataset.md","articles":[]},{"title":"Passive Aggressive, AROW","level":"8.2.2","depth":2,"path":"regression/e2006_arow.md","ref":"regression/e2006_arow.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","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":"Edi t","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":"regression/e2006_dataset.md","mtime":"2017-07-20T11:24:46.000Z","type":"markdown"},"gitb ook":{"version":"3.2.2","time":"2017-09-13T14:07:31.053Z"},"basePath":"..","book":{"language":""}}); }); </script> </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 <script> var gitbook = gitbook || []; gitbook.push(function() { - gitbook.page.hasChanged({"page":{"title":"Regression","level":"8.1","depth":1,"next":{"title":"E2006-tfidf regression tutorial","level":"8.2","depth":1,"path":"regression/e2006.md","ref":"regression/e2006.md","articles":[{"title":"Data preparation","level":"8.2.1","depth":2,"path":"regression/e2006_dataset.md","ref":"regression/e2006_dataset.md","articles":[]},{"title":"Passive Aggressive, AROW","level":"8.2.2","depth":2,"path":"regression/e2006_arow.md","ref":"regression/e2006_arow.md","articles":[]}]},"previous":{"title":"Random Forest","level":"7.2.3","depth":2,"path":"multiclass/iris_randomforest.md","ref":"multiclass/iris_randomforest.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","ep ub":"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","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","b ase":"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":"regression/general.md","mtime":"2017-06-07T10:03:19.000Z","type":"markdown"},"gitbook":{"vers ion":"3.2.2","time":"2017-07-14T17:59:22.591Z"},"basePath":"..","book":{"language":""}}); + gitbook.page.hasChanged({"page":{"title":"Regression","level":"8.1","depth":1,"next":{"title":"E2006-tfidf regression tutorial","level":"8.2","depth":1,"path":"regression/e2006.md","ref":"regression/e2006.md","articles":[{"title":"Data preparation","level":"8.2.1","depth":2,"path":"regression/e2006_dataset.md","ref":"regression/e2006_dataset.md","articles":[]},{"title":"Passive Aggressive, AROW","level":"8.2.2","depth":2,"path":"regression/e2006_arow.md","ref":"regression/e2006_arow.md","articles":[]}]},"previous":{"title":"Random Forest","level":"7.2.3","depth":2,"path":"multiclass/iris_randomforest.md","ref":"multiclass/iris_randomforest.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","ep ub":"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","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","b ase":"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":"regression/general.md","mtime":"2017-07-20T11:24:46.000Z","type":"markdown"},"gitbook":{"vers ion":"3.2.2","time":"2017-09-13T14:07:31.053Z"},"basePath":"..","book":{"language":""}}); }); </script> </div>
