http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/68241a08/userguide/multiclass/news20_scw.html ---------------------------------------------------------------------- diff --git a/userguide/multiclass/news20_scw.html b/userguide/multiclass/news20_scw.html index 79b007f..6bfa72d 100644 --- a/userguide/multiclass/news20_scw.html +++ b/userguide/multiclass/news20_scw.html @@ -999,6 +999,21 @@ </li> + <li class="chapter " data-level="5.6" data-path="../binaryclass/titanic_rf.html"> + + <a href="../binaryclass/titanic_rf.html"> + + + <b>5.6.</b> + + Kaggle Titanic Tutorial + + </a> + + + + </li> + @@ -1939,7 +1954,25 @@ where actual == predicted; <span class="hljs-keyword">drop</span> <span class="hljs-keyword">table</span> news20mc_scw2_predict1; <span class="hljs-keyword">drop</span> <span class="hljs-keyword">view</span> news20mc_scw2_submit1; </code></pre> -<p><div id="page-footer"><hr><p><sub><font color="gray"> +<p><div id="page-footer"><hr><!-- + Licensed to the Apache Software Foundation (ASF) under one + or more contributor license agreements. See the NOTICE file + distributed with this work for additional information + regarding copyright ownership. The ASF licenses this file + to you under the Apache License, Version 2.0 (the + "License"); you may not use this file except in compliance + with the License. You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + + Unless required by applicable law or agreed to in writing, + software distributed under the License is distributed on an + "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY + KIND, either express or implied. See the License for the + specific language governing permissions and limitations + under the License. +--> +<p><sub><font color="gray"> Apache Hivemall is an effort undergoing incubation at The Apache Software Foundation (ASF), sponsored by the Apache Incubator. </font></sub></p> </div></p> @@ -1976,7 +2009,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda <script> var gitbook = gitbook || []; gitbook.push(function() { - gitbook.page.hasChanged({"page":{"title":"CW, AROW, SCW","level":"6.1.4","depth":2,"next":{"title":"Ensemble learning","level":"6.1.5","depth":2,"path":"multiclass/news20_ensemble.md","ref":"multiclass/news20_ensemble.md","articles":[]},"previous":{"title":"PA","level":"6.1.3","depth":2,"path":"multiclass/news20_pa.md","ref":"multiclass/news20_pa.md","articles":[]},"dir":"ltr"},"config":{"plugins":["theme-api","edit-link","github","splitter","sitemap","etoc","callouts","toggle-chapters","anchorjs","codeblock-filename","expandable-chapters","multipart","codeblock-filename","katex","emphasize","localized-footer"],"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"pluginsConfig":{"emphasize":{},"callouts":{},"etoc":{"maxdepth":3,"mindepth":1,"notoc":true},"github":{"url":"https://github.com/apache/incubator-hivemall/"},"splitter":{},"search":{},"downloadpdf ":{"base":"https://github.com/apache/incubator-hivemall/docs/gitbook","label":"PDF","multilingual":false},"multipart":{},"localized-footer":{"filename":"FOOTER.md"},"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"},"togg le-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_scw.md","mtime":"2016-11-12T07:18:00.000Z","type":"markdown"},"gitbook":{"version":"3.2.2","time":"2016-11-14T10:40:22.987Z"},"basePath":"..","book":{"language":""}}); 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http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/68241a08/userguide/recommend/cf.html ---------------------------------------------------------------------- diff --git a/userguide/recommend/cf.html b/userguide/recommend/cf.html index 8658b3f..e3037c6 100644 --- a/userguide/recommend/cf.html +++ b/userguide/recommend/cf.html @@ -999,6 +999,21 @@ </li> + <li class="chapter " data-level="5.6" data-path="../binaryclass/titanic_rf.html"> + + <a href="../binaryclass/titanic_rf.html"> + + + <b>5.6.</b> + + Kaggle Titanic Tutorial + + </a> + + + + </li> + @@ -1649,7 +1664,25 @@ specific language governing permissions and limitations under the License. --> -<p><div id="page-footer"><hr><p><sub><font color="gray"> +<p><div id="page-footer"><hr><!-- + Licensed to the Apache Software Foundation (ASF) under one + or more contributor license agreements. See the NOTICE file + distributed with this work for additional information + regarding copyright ownership. The ASF licenses this file + to you under the Apache License, Version 2.0 (the + "License"); you may not use this file except in compliance + with the License. You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + + Unless required by applicable law or agreed to in writing, + software distributed under the License is distributed on an + "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY + KIND, either express or implied. See the License for the + specific language governing permissions and limitations + under the License. +--> +<p><sub><font color="gray"> Apache Hivemall is an effort undergoing incubation at The Apache Software Foundation (ASF), sponsored by the Apache Incubator. </font></sub></p> </div></p> @@ -1686,7 +1719,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda <script> var gitbook = gitbook || []; gitbook.push(function() { - gitbook.page.hasChanged({"page":{"title":"Collaborative Filtering","level":"8.1","depth":1,"next":{"title":"Item-based Collaborative Filtering","level":"8.1.1","depth":2,"path":"recommend/item_based_cf.md","ref":"recommend/item_based_cf.md","articles":[]},"previous":{"title":"AdaGrad, AdaDelta","level":"7.2.4","depth":2,"path":"regression/kddcup12tr2_adagrad.md","ref":"regression/kddcup12tr2_adagrad.md","articles":[]},"dir":"ltr"},"config":{"plugins":["theme-api","edit-link","github","splitter","sitemap","etoc","callouts","toggle-chapters","anchorjs","codeblock-filename","expandable-chapters","multipart","codeblock-filename","katex","emphasize","localized-footer"],"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"pluginsConfig":{"emphasize":{},"callouts":{},"etoc":{"maxdepth":3,"mindepth":1,"notoc":true},"github":{"url":"https://github.com/apache/incuba tor-hivemall/"},"splitter":{},"search":{},"downloadpdf":{"base":"https://github.com/apache/incubator-hivemall/docs/gitbook","label":"PDF","multilingual":false},"multipart":{},"localized-footer":{"filename":"FOOTER.md"},"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"; 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Creating cooccurrence table</h3> <p><strong>Caution:</strong> <em>Item-Item cooccurrence matrix is a symmetric matrix that has the number of total occurrence for each diagonal element . If the size of items are <code>k</code>, then the size of expected matrix is <code>k * (k - 1) / 2</code>, usually a very large one.</em></p> -<p><em>Better to use <a href="https://github.com/myui/hivemall/wiki/Item-based-Collaborative-Filtering#limiting-size-of-elements-in-cooccurrence_upper_triangular"; target="_blank">2.2.2.</a> instead of <a href="https://github.com/myui/hivemall/wiki/Item-based-Collaborative-Filtering#221-create-cooccurrence-table-directly"; target="_blank">2.2.1.</a> for creating a <code>cooccurrence</code> table where dataset is large.</em></p> +<p><em>Better to use <a href="#222-create-cooccurrence-table-from-upper-triangular-matrix-of-cooccurrence">2.2.2.</a> instead of <a href="#221-create-cooccurrence-table-directly">2.2.1.</a> for creating a <code>cooccurrence</code> table where dataset is large.</em></p> <h3 id="221-create-cooccurrence-table-directly">2.2.1. Create cooccurrence table directly</h3> <pre><code class="lang-sql"><span class="hljs-keyword">create</span> <span class="hljs-keyword">table</span> cooccurrence <span class="hljs-keyword">as</span> <span class="hljs-comment">-- INSERT OVERWRITE TABLE cooccurrence</span> @@ -1937,7 +1952,7 @@ t2 <span class="hljs-keyword">as</span> ( <h2 id="3-computing-item-similarity-scores">3. Computing Item similarity scores</h2> <p>Item-Item similarity computation is known to be computation complexity <code>O(n^2)</code> where <code>n</code> is the number of items. Depending on your cluster size and your dataset, the optimal solution differs.</p> -<p><strong>Note:</strong> <em>Better to use <a href="https://github.com/myui/hivemall/wiki/Item-based-Collaborative-Filtering#311-similarity-computation-using-the-symmetric-property-of-item-similarity-matrix"; target="_blank">3.1.1.</a> scheme where dataset is large.</em></p> +<p><strong>Note:</strong> <em>Better to use <a href="#311-similarity-computation-using-the-symmetric-property-of-item-similarity-matrix">3.1.1.</a> scheme where dataset is large.</em></p> <h3 id="31-shuffle-heavy-similarity-computation">3.1. Shuffle heavy similarity computation</h3> <p>This version involves 3-way joins w/ large data shuffle; However, this version works in parallel where a cluster has enough task slots.</p> <pre><code class="lang-sql">WITH similarity as ( @@ -2258,7 +2273,25 @@ topk <span class="hljs-keyword">as</span> ( <span class="hljs-keyword">from</span> topk; </code></pre> -<p><div id="page-footer"><hr><p><sub><font color="gray"> +<p><div id="page-footer"><hr><!-- + Licensed to the Apache Software Foundation (ASF) under one + or more contributor license agreements. See the NOTICE file + distributed with this work for additional information + regarding copyright ownership. The ASF licenses this file + to you under the Apache License, Version 2.0 (the + "License"); you may not use this file except in compliance + with the License. You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + + Unless required by applicable law or agreed to in writing, + software distributed under the License is distributed on an + "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY + KIND, either express or implied. See the License for the + specific language governing permissions and limitations + under the License. +--> +<p><sub><font color="gray"> Apache Hivemall is an effort undergoing incubation at The Apache Software Foundation (ASF), sponsored by the Apache Incubator. </font></sub></p> </div></p> @@ -2295,7 +2328,7 @@ 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":"8.1.1","depth":2,"next":{"title":"News20 related article recommendation Tutorial","level":"8.2","depth":1,"path":"recommend/news20.md","ref":"recommend/news20.md","articles":[{"title":"Data preparation","level":"8.2.1","depth":2,"path":"multiclass/news20_dataset.md","ref":"multiclass/news20_dataset.md","articles":[]},{"title":"LSH/Minhash and Jaccard Similarity","level":"8.2.2","depth":2,"path":"recommend/news20_jaccard.md","ref":"recommend/news20_jaccard.md","articles":[]},{"title":"LSH/Minhash and Brute-Force Search","level":"8.2.3","depth":2,"path":"recommend/news20_knn.md","ref":"recommend/news20_knn.md","articles":[]},{"title":"kNN search using b-Bits Minhash","level":"8.2.4","depth":2,"path":"recommend/news20_bbit_minhash.md","ref":"recommend/news20_bbit_minhash.md","articles":[]}]},"previous":{"title":"Collaborative Filtering","level":"8.1","depth":1,"path":"recommend/cf.md","re f":"recommend/cf.md","articles":[{"title":"Item-based Collaborative Filtering","level":"8.1.1","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":{"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"},"lunr":{"maxIndexSize"; 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}); </script> </div> http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/68241a08/userguide/recommend/movielens.html ---------------------------------------------------------------------- diff --git a/userguide/recommend/movielens.html b/userguide/recommend/movielens.html index 607a798..3ae797b 100644 --- a/userguide/recommend/movielens.html +++ b/userguide/recommend/movielens.html @@ -999,6 +999,21 @@ </li> + <li class="chapter " data-level="5.6" data-path="../binaryclass/titanic_rf.html"> + + <a href="../binaryclass/titanic_rf.html"> + + + <b>5.6.</b> + + Kaggle Titanic Tutorial + + </a> + + + + </li> + @@ -1649,7 +1664,25 @@ specific language governing permissions and limitations under the License. --> -<p><div id="page-footer"><hr><p><sub><font color="gray"> +<p><div id="page-footer"><hr><!-- + Licensed to the Apache Software Foundation (ASF) under one + or more contributor license agreements. See the NOTICE file + distributed with this work for additional information + regarding copyright ownership. The ASF licenses this file + to you under the Apache License, Version 2.0 (the + "License"); you may not use this file except in compliance + with the License. You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + + Unless required by applicable law or agreed to in writing, + software distributed under the License is distributed on an + "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY + KIND, either express or implied. See the License for the + specific language governing permissions and limitations + under the License. +--> +<p><sub><font color="gray"> Apache Hivemall is an effort undergoing incubation at The Apache Software Foundation (ASF), sponsored by the Apache Incubator. </font></sub></p> </div></p> @@ -1686,7 +1719,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda <script> var gitbook = gitbook || []; gitbook.push(function() { - gitbook.page.hasChanged({"page":{"title":"MovieLens movie recommendation Tutorial","level":"8.3","depth":1,"next":{"title":"Data preparation","level":"8.3.1","depth":2,"path":"recommend/movielens_dataset.md","ref":"recommend/movielens_dataset.md","articles":[]},"previous":{"title":"kNN search using b-Bits Minhash","level":"8.2.4","depth":2,"path":"recommend/news20_bbit_minhash.md","ref":"recommend/news20_bbit_minhash.md","articles":[]},"dir":"ltr"},"config":{"plugins":["theme-api","edit-link","github","splitter","sitemap","etoc","callouts","toggle-chapters","anchorjs","codeblock-filename","expandable-chapters","multipart","codeblock-filename","katex","emphasize","localized-footer"],"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"pluginsConfig":{"emphasize":{},"callouts":{},"etoc":{"maxdepth":3,"mindepth":1,"notoc":true},"github":{"url":"https://github .com/apache/incubator-hivemall/"},"splitter":{},"search":{},"downloadpdf":{"base":"https://github.com/apache/incubator-hivemall/docs/gitbook","label":"PDF","multilingual":false},"multipart":{},"localized-footer":{"filename":"FOOTER.md"},"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/movielens.md","mtime":"2016-11-12T07:18:00.000Z","type":"markdown"},"gitbook":{"version":"3.2.2","time":"2016-11-14T10:40:22.987Z"},"basePath":"..","book":{"language":""}}); 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}); </script> </div> http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/68241a08/userguide/recommend/movielens_cv.html ---------------------------------------------------------------------- diff --git a/userguide/recommend/movielens_cv.html b/userguide/recommend/movielens_cv.html index 10f1012..f3b2f62 100644 --- a/userguide/recommend/movielens_cv.html +++ b/userguide/recommend/movielens_cv.html @@ -999,6 +999,21 @@ </li> + <li class="chapter " data-level="5.6" data-path="../binaryclass/titanic_rf.html"> + + <a href="../binaryclass/titanic_rf.html"> + + + <b>5.6.</b> + + Kaggle Titanic Tutorial + + </a> + + + + </li> + @@ -1700,7 +1715,25 @@ cluster <span class="hljs-keyword">by</span> gid, <span class="hljs-keyword">ran <p>0.8502739040257945 (RMSE)</p> </blockquote> <p><em>We recommend to use <a href="http://tez.apache.org/"; target="_blank">Tez</a> for running queries having many stages.</em> -<div id="page-footer"><hr><p><sub><font color="gray"> +<div id="page-footer"><hr><!-- + Licensed to the Apache Software Foundation (ASF) under one + or more contributor license agreements. See the NOTICE file + distributed with this work for additional information + regarding copyright ownership. The ASF licenses this file + to you under the Apache License, Version 2.0 (the + "License"); you may not use this file except in compliance + with the License. You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + + Unless required by applicable law or agreed to in writing, + software distributed under the License is distributed on an + "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY + KIND, either express or implied. See the License for the + specific language governing permissions and limitations + under the License. +--> +<p><sub><font color="gray"> Apache Hivemall is an effort undergoing incubation at The Apache Software Foundation (ASF), sponsored by the Apache Incubator. </font></sub></p> </div></p> @@ -1737,7 +1770,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda <script> var gitbook = gitbook || []; gitbook.push(function() { - gitbook.page.hasChanged({"page":{"title":"10-fold Cross Validation (Matrix Factorization)","level":"8.3.4","depth":2,"next":{"title":"Outlier Detection using Local Outlier Factor (LOF)","level":"9.1","depth":1,"path":"anomaly/lof.md","ref":"anomaly/lof.md","articles":[]},"previous":{"title":"Factorization Machine","level":"8.3.3","depth":2,"path":"recommend/movielens_fm.md","ref":"recommend/movielens_fm.md","articles":[]},"dir":"ltr"},"config":{"plugins":["theme-api","edit-link","github","splitter","sitemap","etoc","callouts","toggle-chapters","anchorjs","codeblock-filename","expandable-chapters","multipart","codeblock-filename","katex","emphasize","localized-footer"],"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"pluginsConfig":{"emphasize":{},"callouts":{},"etoc":{"maxdepth":3,"mindepth":1,"notoc":true},"github":{"url":"https://github.com/apache/in cubator-hivemall/"},"splitter":{},"search":{},"downloadpdf":{"base":"https://github.com/apache/incubator-hivemall/docs/gitbook","label":"PDF","multilingual":false},"multipart":{},"localized-footer":{"filename":"FOOTER.md"},"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},"ancho rjs":{"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/movielens_cv.md","mtime":"2016-11-12T07:18:00.000Z","type":"markdown"},"gitbook":{"version":"3.2.2","time":"2016-11-14T10:40:22.987Z"},"basePath":"..","book":{"language":""}}); 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}); </script> </div> http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/68241a08/userguide/recommend/movielens_dataset.html ---------------------------------------------------------------------- diff --git a/userguide/recommend/movielens_dataset.html b/userguide/recommend/movielens_dataset.html index 3d33fca..6d8be6c 100644 --- a/userguide/recommend/movielens_dataset.html +++ b/userguide/recommend/movielens_dataset.html @@ -999,6 +999,21 @@ </li> + <li class="chapter " data-level="5.6" data-path="../binaryclass/titanic_rf.html"> + + <a href="../binaryclass/titanic_rf.html"> + + + <b>5.6.</b> + + Kaggle Titanic Tutorial + + </a> + + + + </li> + @@ -1793,7 +1808,25 @@ u_zipcode string None <span class="hljs-keyword">order</span> <span class="hljs-keyword">by</span> rnd <span class="hljs-keyword">ASC</span> <span class="hljs-keyword">limit</span> <span class="hljs-number">200209</span>; </code></pre> -<p><div id="page-footer"><hr><p><sub><font color="gray"> +<p><div id="page-footer"><hr><!-- + Licensed to the Apache Software Foundation (ASF) under one + or more contributor license agreements. See the NOTICE file + distributed with this work for additional information + regarding copyright ownership. The ASF licenses this file + to you under the Apache License, Version 2.0 (the + "License"); you may not use this file except in compliance + with the License. You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + + Unless required by applicable law or agreed to in writing, + software distributed under the License is distributed on an + "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY + KIND, either express or implied. See the License for the + specific language governing permissions and limitations + under the License. +--> +<p><sub><font color="gray"> Apache Hivemall is an effort undergoing incubation at The Apache Software Foundation (ASF), sponsored by the Apache Incubator. </font></sub></p> </div></p> @@ -1830,7 +1863,7 @@ 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":"8.3.1","depth":2,"next":{"title":"Matrix Factorization","level":"8.3.2","depth":2,"path":"recommend/movielens_mf.md","ref":"recommend/movielens_mf.md","articles":[]},"previous":{"title":"MovieLens movie recommendation Tutorial","level":"8.3","depth":1,"path":"recommend/movielens.md","ref":"recommend/movielens.md","articles":[{"title":"Data preparation","level":"8.3.1","depth":2,"path":"recommend/movielens_dataset.md","ref":"recommend/movielens_dataset.md","articles":[]},{"title":"Matrix Factorization","level":"8.3.2","depth":2,"path":"recommend/movielens_mf.md","ref":"recommend/movielens_mf.md","articles":[]},{"title":"Factorization Machine","level":"8.3.3","depth":2,"path":"recommend/movielens_fm.md","ref":"recommend/movielens_fm.md","articles":[]},{"title":"10-fold Cross Validation (Matrix Factorization)","level":"8.3.4","depth":2,"path":"recommend/movielens_cv.md","ref":"recommend/movielens_cv.md","a rticles":[]}]},"dir":"ltr"},"config":{"plugins":["theme-api","edit-link","github","splitter","sitemap","etoc","callouts","toggle-chapters","anchorjs","codeblock-filename","expandable-chapters","multipart","codeblock-filename","katex","emphasize","localized-footer"],"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"pluginsConfig":{"emphasize":{},"callouts":{},"etoc":{"maxdepth":3,"mindepth":1,"notoc":true},"github":{"url":"https://github.com/apache/incubator-hivemall/"},"splitter":{},"search":{},"downloadpdf":{"base":"https://github.com/apache/incubator-hivemall/docs/gitbook","label":"PDF","multilingual":false},"multipart":{},"localized-footer":{"filename":"FOOTER.md"},"lunr":{"maxIndexSize":1000000,"ignoreSpecialCharacters":false},"katex":{},"fontsettings":{"theme":"white","family":"sans","size":2,"font":"sans"},"highlight":{},"codeblock-filename":{},"sitemap":{"ho stname":"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/movielens_dataset.md","mtime":"2016-11-12T07:18:00.000Z","type":"markdown"},"gitbook":{"version":"3.2.2","time":"2016-11-14T10:40:22.987Z"},"basePath":"..","book":{"language":""}}); + gitbook.page.hasChanged({"page":{"title":"Data preparation","level":"8.3.1","depth":2,"next":{"title":"Matrix Factorization","level":"8.3.2","depth":2,"path":"recommend/movielens_mf.md","ref":"recommend/movielens_mf.md","articles":[]},"previous":{"title":"MovieLens movie recommendation Tutorial","level":"8.3","depth":1,"path":"recommend/movielens.md","ref":"recommend/movielens.md","articles":[{"title":"Data preparation","level":"8.3.1","depth":2,"path":"recommend/movielens_dataset.md","ref":"recommend/movielens_dataset.md","articles":[]},{"title":"Matrix Factorization","level":"8.3.2","depth":2,"path":"recommend/movielens_mf.md","ref":"recommend/movielens_mf.md","articles":[]},{"title":"Factorization Machine","level":"8.3.3","depth":2,"path":"recommend/movielens_fm.md","ref":"recommend/movielens_fm.md","articles":[]},{"title":"10-fold Cross Validation (Matrix Factorization)","level":"8.3.4","depth":2,"path":"recommend/movielens_cv.md","ref":"recommend/movielens_cv.md","a rticles":[]}]},"dir":"ltr"},"config":{"plugins":["theme-api","edit-link","github","splitter","sitemap","etoc","callouts","toggle-chapters","anchorjs","codeblock-filename","expandable-chapters","multipart","codeblock-filename","katex","emphasize","localized-footer"],"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"pluginsConfig":{"emphasize":{},"callouts":{},"etoc":{"maxdepth":3,"mindepth":1,"notoc":true},"github":{"url":"https://github.com/apache/incubator-hivemall/"},"splitter":{},"search":{},"downloadpdf":{"base":"https://github.com/apache/incubator-hivemall/docs/gitbook","label":"PDF","multilingual":false},"multipart":{},"localized-footer":{"filename":"FOOTER.md"},"lunr":{"maxIndexSize":1000000,"ignoreSpecialCharacters":false},"katex":{},"fontsettings":{"theme":"white","family":"sans","size":2,"font":"sans"},"highlight":{},"codeblock-filename":{},"sitemap":{"ho stname":"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/movielens_dataset.md","mtime":"2016-11-16T08:39:12.000Z","type":"markdown"},"gitbook":{"version":"3.2.2","time":"2016-11-17T12:16:14.647Z"},"basePath":"..","book":{"language":""}}); }); </script> </div> http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/68241a08/userguide/recommend/movielens_fm.html ---------------------------------------------------------------------- diff --git a/userguide/recommend/movielens_fm.html b/userguide/recommend/movielens_fm.html index 3bff761..b540384 100644 --- a/userguide/recommend/movielens_fm.html +++ b/userguide/recommend/movielens_fm.html @@ -999,6 +999,21 @@ </li> + <li class="chapter " data-level="5.6" data-path="../binaryclass/titanic_rf.html"> + + <a href="../binaryclass/titanic_rf.html"> + + + <b>5.6.</b> + + Kaggle Titanic Tutorial + + </a> + + + + </li> + @@ -1651,8 +1666,7 @@ --> <p><em>Caution: Factorization Machine is supported from Hivemall v0.4 or later.</em></p> <h1 id="data-preparation">Data preparation</h1> -<p>First of all, please create <code>ratings</code> table described in the following page: -<a href="https://github.com/myui/hivemall/wiki/MovieLens-Dataset"; target="_blank">https://github.com/myui/hivemall/wiki/MovieLens-Dataset</a></p> +<p>First of all, please create <code>ratings</code> table described in <a href="movielens_dataset.html">this article</a>.</p> <pre><code class="lang-sql"><span class="hljs-keyword">use</span> movielens; <span class="hljs-keyword">SET</span> hivevar:<span class="hljs-keyword">seed</span>=<span class="hljs-number">31</span>; @@ -1819,7 +1833,7 @@ CLUSTER <span class="hljs-keyword">BY</span> <span class="hljs-keyword">rand</sp 1000] </code></pre><h1 id="prediction">Prediction</h1> <pre><code class="lang-sql"><span class="hljs-comment">-- workaround for a bug </span> -<span class="hljs-comment">-- https://github.com/myui/hivemall/wiki/Map-side-Join-causes-ClassCastException-on-Tez:-LazyBinaryArray-cannot-be-cast-to-%5BLjava.lang.Object;</span> +<span class="hljs-comment">-- https://issues.apache.org/jira/browse/HIVE-11051</span> <span class="hljs-keyword">set</span> hive.mapjoin.optimized.hashtable=<span class="hljs-literal">false</span>; <span class="hljs-keyword">drop</span> <span class="hljs-keyword">table</span> fm_predict; @@ -1847,7 +1861,7 @@ CLUSTER <span class="hljs-keyword">BY</span> <span class="hljs-keyword">rand</sp </blockquote> <h1 id="fast-factorization-machines-training-using-int-features">Fast Factorization Machines Training using Int Features</h1> <p>Training of Factorization Machines (FM) can be done more efficietly, in term of speed, by using INT features. -In this section, we show how to run FM training by using int features, more specifically by using <a href="https://github.com/myui/hivemall/wiki/Feature-hashing"; target="_blank">feature hashing</a>.</p> +In this section, we show how to run FM training by using int features, more specifically by using <a href="../ft_engineering/hashing.html">feature hashing</a>.</p> <pre><code class="lang-sql"><span class="hljs-keyword">set</span> hivevar:factor=<span class="hljs-number">10</span>; <span class="hljs-keyword">set</span> hivevar:iters=<span class="hljs-number">50</span>; @@ -1887,7 +1901,25 @@ WITH predicted as ( testing_fm <span class="hljs-keyword">as</span> t <span class="hljs-keyword">JOIN</span> predicted <span class="hljs-keyword">as</span> p <span class="hljs-keyword">on</span> (t.<span class="hljs-keyword">rowid</span> = p.<span class="hljs-keyword">rowid</span>); </code></pre> -<p><div id="page-footer"><hr><p><sub><font color="gray"> +<p><div id="page-footer"><hr><!-- + Licensed to the Apache Software Foundation (ASF) under one + or more contributor license agreements. See the NOTICE file + distributed with this work for additional information + regarding copyright ownership. The ASF licenses this file + to you under the Apache License, Version 2.0 (the + "License"); you may not use this file except in compliance + with the License. You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + + Unless required by applicable law or agreed to in writing, + software distributed under the License is distributed on an + "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY + KIND, either express or implied. See the License for the + specific language governing permissions and limitations + under the License. +--> +<p><sub><font color="gray"> Apache Hivemall is an effort undergoing incubation at The Apache Software Foundation (ASF), sponsored by the Apache Incubator. </font></sub></p> </div></p> @@ -1924,7 +1956,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda <script> var gitbook = gitbook || []; gitbook.push(function() { - gitbook.page.hasChanged({"page":{"title":"Factorization Machine","level":"8.3.3","depth":2,"next":{"title":"10-fold Cross Validation (Matrix Factorization)","level":"8.3.4","depth":2,"path":"recommend/movielens_cv.md","ref":"recommend/movielens_cv.md","articles":[]},"previous":{"title":"Matrix Factorization","level":"8.3.2","depth":2,"path":"recommend/movielens_mf.md","ref":"recommend/movielens_mf.md","articles":[]},"dir":"ltr"},"config":{"plugins":["theme-api","edit-link","github","splitter","sitemap","etoc","callouts","toggle-chapters","anchorjs","codeblock-filename","expandable-chapters","multipart","codeblock-filename","katex","emphasize","localized-footer"],"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"pluginsConfig":{"emphasize":{},"callouts":{},"etoc":{"maxdepth":3,"mindepth":1,"notoc":true},"github":{"url":"https://github.com/apache/incubato r-hivemall/"},"splitter":{},"search":{},"downloadpdf":{"base":"https://github.com/apache/incubator-hivemall/docs/gitbook","label":"PDF","multilingual":false},"multipart":{},"localized-footer":{"filename":"FOOTER.md"},"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/movielens_fm.md","mtime":"2016-11-12T07:18:00.000Z","type":"markdown"},"gitbook":{"version":"3.2.2","time":"2016-11-14T10:40:22.987Z"},"basePath":"..","book":{"language":""}}); + gitbook.page.hasChanged({"page":{"title":"Factorization Machine","level":"8.3.3","depth":2,"next":{"title":"10-fold Cross Validation (Matrix Factorization)","level":"8.3.4","depth":2,"path":"recommend/movielens_cv.md","ref":"recommend/movielens_cv.md","articles":[]},"previous":{"title":"Matrix Factorization","level":"8.3.2","depth":2,"path":"recommend/movielens_mf.md","ref":"recommend/movielens_mf.md","articles":[]},"dir":"ltr"},"config":{"plugins":["theme-api","edit-link","github","splitter","sitemap","etoc","callouts","toggle-chapters","anchorjs","codeblock-filename","expandable-chapters","multipart","codeblock-filename","katex","emphasize","localized-footer"],"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"pluginsConfig":{"emphasize":{},"callouts":{},"etoc":{"maxdepth":3,"mindepth":1,"notoc":true},"github":{"url":"https://github.com/apache/incubato r-hivemall/"},"splitter":{},"search":{},"downloadpdf":{"base":"https://github.com/apache/incubator-hivemall/docs/gitbook","label":"PDF","multilingual":false},"multipart":{},"localized-footer":{"filename":"FOOTER.md"},"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/movielens_fm.md","mtime":"2016-11-17T11:25:17.000Z","type":"markdown"},"gitbook":{"version":"3.2.2","time":"2016-11-17T12:16:14.647Z"},"basePath":"..","book":{"language":""}}); }); </script> </div> http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/68241a08/userguide/recommend/movielens_mf.html ---------------------------------------------------------------------- diff --git a/userguide/recommend/movielens_mf.html b/userguide/recommend/movielens_mf.html index 50f026f..65ed675 100644 --- a/userguide/recommend/movielens_mf.html +++ b/userguide/recommend/movielens_mf.html @@ -999,6 +999,21 @@ </li> + <li class="chapter " data-level="5.6" data-path="../binaryclass/titanic_rf.html"> + + <a href="../binaryclass/titanic_rf.html"> + + + <b>5.6.</b> + + Kaggle Titanic Tutorial + + </a> + + + + </li> + @@ -1649,8 +1664,21 @@ specific language governing permissions and limitations under the License. --> -<p>This page explains how to run matrix factorization on <a href="https://github.com/myui/hivemall/wiki/MovieLens-Dataset"; target="_blank">MovieLens 1M dataset</a>.</p> -<p><em>Caution:</em> Matrix factorization is supported in Hivemall v0.3 or later.</p> +<p>This page explains how to run matrix factorization on <a href="movielens_dataset.html">MovieLens 1M dataset</a>.</p> +<!-- toc --><div id="toc" class="toc"> + +<ul> +<li><a href="#calculate-the-mean-rating-in-the-training-dataset">Calculate the mean rating in the training dataset</a></li> +<li><a href="#set-variables-hyperparameters-for-training">Set variables (hyperparameters) for training</a></li> +<li><a href="#training">Training</a><ul> +<li><a href="#predict">Predict</a></li> +<li><a href="#evaluate-computes-mae-and-rmse">Evaluate (computes MAE and RMSE)</a></li> +<li><a href="#item-recommendation">Item Recommendation</a></li> +</ul> +</li> +</ul> + +</div><!-- tocstop --> <h2 id="calculate-the-mean-rating-in-the-training-dataset">Calculate the mean rating in the training dataset</h2> <pre><code class="lang-sql"><span class="hljs-keyword">use</span> movielens; @@ -1667,8 +1695,7 @@ <span class="hljs-comment">-- maximum number of training iterations</span> <span class="hljs-keyword">set</span> hivevar:iters=<span class="hljs-number">50</span>; </code></pre> -<p>See <a href="https://github.com/myui/hivemall/wiki/List-of-parameters-of-Matrix-Factorization"; target="_blank">this article</a> or <a href="https://github.com/myui/hivemall/blob/master/src/main/java/hivemall/mf/OnlineMatrixFactorizationUDTF.java#L123"; target="_blank">OnlineMatrixFactorizationUDTF#getOption()</a> to get the details of options.</p> -<p>Note that there are no need to set an exact value for $mu. It actually works without setting $mu but recommended to set one for getting a better prediction.</p> +<p>Note that there are no need to set an exact value for <code>$mu</code>. It actually works without setting <code>$mu</code> but recommended to set one for getting a better prediction.</p> <p><em>Due to <a href="https://issues.apache.org/jira/browse/HIVE-8396"; target="_blank">a bug</a> in Hive, do not issue comments in CLI.</em></p> <h2 id="training">Training</h2> <pre><code class="lang-sql"><span class="hljs-keyword">create</span> <span class="hljs-keyword">table</span> sgd_model @@ -1681,13 +1708,14 @@ <span class="hljs-keyword">avg</span>(m_bias) <span class="hljs-keyword">as</span> Bi <span class="hljs-keyword">from</span> ( <span class="hljs-keyword">select</span> - train_mf_sgd(userid, movieid, rating, <span class="hljs-string">"-factor ${factor} -mu ${mu} -iter ${iters}"</span>) <span class="hljs-keyword">as</span> (idx, u_rank, m_rank, u_bias, m_bias) + train_mf_sgd(userid, movieid, rating, <span class="hljs-string">'-factor ${factor} -mu ${mu} -iter ${iters}'</span>) <span class="hljs-keyword">as</span> (idx, u_rank, m_rank, u_bias, m_bias) <span class="hljs-keyword">from</span> training ) t <span class="hljs-keyword">group</span> <span class="hljs-keyword">by</span> idx; </code></pre> -<p>Note: Hivemall also provides <em>train_mf_adagrad</em> for training using AdaGrad.</p> +<div class="panel panel-primary"><div class="panel-heading"><h3 class="panel-title" id="note"><i class="fa fa-edit"></i> Note</h3></div><div class="panel-body"><p>Hivemall also provides <em>train_mf_adagrad</em> for training using AdaGrad. +<code>-help</code> option shows a complete list of hyperparameters.</p></div></div> <h1 id="predict">Predict</h1> <pre><code class="lang-sql"><span class="hljs-keyword">select</span> t2.actual, @@ -1729,10 +1757,20 @@ <span class="hljs-keyword">ON</span> (t2.movieid = p2.idx) ) t; </code></pre> -<blockquote> -<p>0.6728969407733578 (MAE) </p> -<p>0.8584162122694449 (RMSE)</p> -</blockquote> +<table> +<thead> +<tr> +<th style="text-align:center">MAE</th> +<th style="text-align:center">RMSE</th> +</tr> +</thead> +<tbody> +<tr> +<td style="text-align:center">0.6728969407733578</td> +<td style="text-align:center">0.8584162122694449</td> +</tr> +</tbody> +</table> <h1 id="item-recommendation">Item Recommendation</h1> <p>Recommend top-k movies that a user have not ever seen.</p> <pre><code class="lang-sql"><span class="hljs-keyword">set</span> hivevar:userid=<span class="hljs-number">1</span>; @@ -1794,7 +1832,25 @@ </tr> </tbody> </table> -<p><div id="page-footer"><hr><p><sub><font color="gray"> +<p><div id="page-footer"><hr><!-- + Licensed to the Apache Software Foundation (ASF) under one + or more contributor license agreements. See the NOTICE file + distributed with this work for additional information + regarding copyright ownership. The ASF licenses this file + to you under the Apache License, Version 2.0 (the + "License"); you may not use this file except in compliance + with the License. You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + + Unless required by applicable law or agreed to in writing, + software distributed under the License is distributed on an + "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY + KIND, either express or implied. See the License for the + specific language governing permissions and limitations + under the License. +--> +<p><sub><font color="gray"> Apache Hivemall is an effort undergoing incubation at The Apache Software Foundation (ASF), sponsored by the Apache Incubator. </font></sub></p> </div></p> @@ -1831,7 +1887,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda <script> var gitbook = gitbook || []; gitbook.push(function() { - gitbook.page.hasChanged({"page":{"title":"Matrix Factorization","level":"8.3.2","depth":2,"next":{"title":"Factorization Machine","level":"8.3.3","depth":2,"path":"recommend/movielens_fm.md","ref":"recommend/movielens_fm.md","articles":[]},"previous":{"title":"Data preparation","level":"8.3.1","depth":2,"path":"recommend/movielens_dataset.md","ref":"recommend/movielens_dataset.md","articles":[]},"dir":"ltr"},"config":{"plugins":["theme-api","edit-link","github","splitter","sitemap","etoc","callouts","toggle-chapters","anchorjs","codeblock-filename","expandable-chapters","multipart","codeblock-filename","katex","emphasize","localized-footer"],"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"pluginsConfig":{"emphasize":{},"callouts":{},"etoc":{"maxdepth":3,"mindepth":1,"notoc":true},"github":{"url":"https://github.com/apache/incubator-hivemall/"},"splitt er":{},"search":{},"downloadpdf":{"base":"https://github.com/apache/incubator-hivemall/docs/gitbook","label":"PDF","multilingual":false},"multipart":{},"localized-footer":{"filename":"FOOTER.md"},"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/movielens_mf.md","mtime":"2016-11-12T07:18:00.000Z","type":"markdown"},"gitbook":{"version":"3.2.2","time":"2016-11-14T10:40:22.987Z"},"basePath":"..","book":{"language":""}}); 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}); </script> </div> http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/68241a08/userguide/recommend/news20.html ---------------------------------------------------------------------- diff --git a/userguide/recommend/news20.html b/userguide/recommend/news20.html index 82e0297..4b4d44b 100644 --- a/userguide/recommend/news20.html +++ b/userguide/recommend/news20.html @@ -999,6 +999,21 @@ </li> + <li class="chapter " data-level="5.6" data-path="../binaryclass/titanic_rf.html"> + + <a href="../binaryclass/titanic_rf.html"> + + + <b>5.6.</b> + + Kaggle Titanic Tutorial + + </a> + + + + </li> + @@ -1649,7 +1664,25 @@ specific language governing permissions and limitations under the License. --> -<p><div id="page-footer"><hr><p><sub><font color="gray"> +<p><div id="page-footer"><hr><!-- + Licensed to the Apache Software Foundation (ASF) under one + or more contributor license agreements. See the NOTICE file + distributed with this work for additional information + regarding copyright ownership. The ASF licenses this file + to you under the Apache License, Version 2.0 (the + "License"); you may not use this file except in compliance + with the License. You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + + Unless required by applicable law or agreed to in writing, + software distributed under the License is distributed on an + "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY + KIND, either express or implied. See the License for the + specific language governing permissions and limitations + under the License. +--> +<p><sub><font color="gray"> Apache Hivemall is an effort undergoing incubation at The Apache Software Foundation (ASF), sponsored by the Apache Incubator. </font></sub></p> </div></p> @@ -1686,7 +1719,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda <script> var gitbook = gitbook || []; gitbook.push(function() { - gitbook.page.hasChanged({"page":{"title":"News20 related article recommendation Tutorial","level":"8.2","depth":1,"next":{"title":"Data preparation","level":"8.2.1","depth":2,"path":"multiclass/news20_dataset.md","ref":"multiclass/news20_dataset.md","articles":[]},"previous":{"title":"Item-based Collaborative Filtering","level":"8.1.1","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":{"maxdepth":3,"mindepth":1,"notoc":true},"github":{"url":"https://github.com/a pache/incubator-hivemall/"},"splitter":{},"search":{},"downloadpdf":{"base":"https://github.com/apache/incubator-hivemall/docs/gitbook","label":"PDF","multilingual":false},"multipart":{},"localized-footer":{"filename":"FOOTER.md"},"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.md","mtime":"2016-11-12T07:18:00.000Z","type":"markdown"},"gitbook":{"version":"3.2.2","time":"2016-11-14T10:40:22.987Z"},"basePath":"..","book":{"language":""}}); 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