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}); </script> </div> http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/2d3fdeb2/userguide/tips/rand_amplify.html ---------------------------------------------------------------------- diff --git a/userguide/tips/rand_amplify.html b/userguide/tips/rand_amplify.html index e75b8c0..e4a40d2 100644 --- a/userguide/tips/rand_amplify.html +++ b/userguide/tips/rand_amplify.html @@ -1579,6 +1579,36 @@ </li> + <li class="chapter " data-level="9.2" data-path="../anomaly/sst.html"> + + <a href="../anomaly/sst.html"> + + + <b>9.2.</b> + + Change-Point Detection using Singular Spectrum Transformation (SST) + + </a> + + + + </li> + + <li class="chapter " data-level="9.3" data-path="../anomaly/changefinder.html"> + + <a href="../anomaly/changefinder.html"> + + + <b>9.3.</b> + + ChangeFinder: Detecting Outlier and Change-Point Simultaneously + + </a> + + + + </li> + @@ -1586,13 +1616,85 @@ - <li class="chapter " data-level="10.1" data-path="../spark/misc/misc.html"> + <li class="chapter " data-level="10.1" data-path="../spark/binaryclass/"> - <a href="../spark/misc/misc.html"> + <a href="../spark/binaryclass/"> <b>10.1.</b> + Binary Classification + + </a> + + + + <ul class="articles"> + + + <li class="chapter " data-level="10.1.1" data-path="../spark/binaryclass/a9a_df.html"> + + <a href="../spark/binaryclass/a9a_df.html"> + + + <b>10.1.1.</b> + + a9a Tutorial for DataFrame + + </a> + + + + </li> + + + </ul> + + </li> + + <li class="chapter " data-level="10.2" data-path="../spark/binaryclass/"> + + <a href="../spark/binaryclass/"> + + + <b>10.2.</b> + + Regression + + </a> + + + + <ul class="articles"> + + + <li class="chapter " data-level="10.2.1" data-path="../spark/regression/e2006_df.html"> + + <a href="../spark/regression/e2006_df.html"> + + + <b>10.2.1.</b> + + E2006-tfidf regression Tutorial for DataFrame + + </a> + + + + </li> + + + </ul> + + </li> + + <li class="chapter " data-level="10.3" data-path="../spark/misc/misc.html"> + + <a href="../spark/misc/misc.html"> + + + <b>10.3.</b> + Generic features </a> @@ -1602,12 +1704,12 @@ <ul class="articles"> - <li class="chapter " data-level="10.1.1" data-path="../spark/misc/topk_join.html"> + <li class="chapter " data-level="10.3.1" data-path="../spark/misc/topk_join.html"> <a href="../spark/misc/topk_join.html"> - <b>10.1.1.</b> + <b>10.3.1.</b> Top-k Join processing @@ -1879,7 +1981,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda <script> var gitbook = gitbook || []; 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}); </script> </div> http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/2d3fdeb2/userguide/tips/rowid.html ---------------------------------------------------------------------- diff --git a/userguide/tips/rowid.html b/userguide/tips/rowid.html index 9a659fa..eea3480 100644 --- a/userguide/tips/rowid.html +++ b/userguide/tips/rowid.html @@ -1579,6 +1579,36 @@ </li> + <li class="chapter " data-level="9.2" data-path="../anomaly/sst.html"> + + <a href="../anomaly/sst.html"> + + + <b>9.2.</b> + + Change-Point Detection using Singular Spectrum Transformation (SST) + + </a> + + + + </li> + + <li class="chapter " data-level="9.3" data-path="../anomaly/changefinder.html"> + + <a href="../anomaly/changefinder.html"> + + + <b>9.3.</b> + + ChangeFinder: Detecting Outlier and Change-Point Simultaneously + + </a> + + + + </li> + @@ -1586,13 +1616,85 @@ - <li class="chapter " data-level="10.1" data-path="../spark/misc/misc.html"> + <li class="chapter " data-level="10.1" data-path="../spark/binaryclass/"> - <a href="../spark/misc/misc.html"> + <a href="../spark/binaryclass/"> <b>10.1.</b> + Binary Classification + + </a> + + + + <ul class="articles"> + + + <li class="chapter " data-level="10.1.1" data-path="../spark/binaryclass/a9a_df.html"> + + <a href="../spark/binaryclass/a9a_df.html"> + + + <b>10.1.1.</b> + + a9a Tutorial for DataFrame + + </a> + + + + </li> + + + </ul> + + </li> + + <li class="chapter " data-level="10.2" data-path="../spark/binaryclass/"> + + <a href="../spark/binaryclass/"> + + + <b>10.2.</b> + + Regression + + </a> + + + + <ul class="articles"> + + + <li class="chapter " data-level="10.2.1" data-path="../spark/regression/e2006_df.html"> + + <a href="../spark/regression/e2006_df.html"> + + + <b>10.2.1.</b> + + E2006-tfidf regression Tutorial for DataFrame + + </a> + + + + </li> + + + </ul> + + </li> + + <li class="chapter " data-level="10.3" data-path="../spark/misc/misc.html"> + + <a href="../spark/misc/misc.html"> + + + <b>10.3.</b> + Generic features </a> @@ -1602,12 +1704,12 @@ <ul class="articles"> - <li class="chapter " data-level="10.1.1" data-path="../spark/misc/topk_join.html"> + <li class="chapter " data-level="10.3.1" data-path="../spark/misc/topk_join.html"> <a href="../spark/misc/topk_join.html"> - <b>10.1.1.</b> + <b>10.3.1.</b> Top-k Join processing @@ -1731,12 +1833,19 @@ </div><!-- tocstop --> <h1 id="rowid-generator-provided-in-hivemall">Rowid generator provided in Hivemall</h1> -<p>You can use <a href="https://github.com/myui/hivemall/blob/master/src/main/java/hivemall/tools/mapred/RowIdUDF.java"; target="_blank">rowid() function</a> to generate an unique rowid in Hivemall v0.2 or later.</p> +<p>You can use <a href="https://github.com/apache/incubator-hivemall/blob/master/core/src/main/java/hivemall/tools/mapred/RowIdUDF.java"; target="_blank">rowid() function</a> to generate an unique rowid in Hivemall v0.2 or later.</p> <pre><code class="lang-sql"><span class="hljs-keyword">select</span> - <span class="hljs-keyword">rowid</span>() <span class="hljs-keyword">as</span> <span class="hljs-keyword">rowid</span>, <span class="hljs-comment">-- returns ${task_id}-${sequence_number}</span> + <span class="hljs-keyword">rowid</span>() <span class="hljs-keyword">as</span> <span class="hljs-keyword">rowid</span>, <span class="hljs-comment">-- returns ${task_id}-${sequence_number} as string</span> * <span class="hljs-keyword">from</span> - xxx + xxx; +</code></pre> +<p>Also, <a href="https://github.com/apache/incubator-hivemall/blob/master/core/src/main/java/hivemall/tools/mapred/RowNumberUDF.java"; target="_blank">rownum()</a> is supported since Hivemall v0.5-rc.1 or later.</p> +<pre><code class="lang-sql"><span class="hljs-keyword">select</span> + <span class="hljs-keyword">rownum</span>() <span class="hljs-keyword">as</span> <span class="hljs-keyword">rowid</span>, <span class="hljs-comment">-- returns sprintf(`%d%04d`,sequence,taskId) as long</span> + * +<span class="hljs-keyword">from</span> + xxx; </code></pre> <h1 id="other-rowid-generation-schemes-using-sql">Other Rowid generation schemes using SQL</h1> <pre><code class="lang-sql"><span class="hljs-keyword">CREATE</span> <span class="hljs-keyword">TABLE</span> xxx @@ -1811,7 +1920,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda <script> var gitbook = gitbook || []; gitbook.push(function() { - gitbook.page.hasChanged({"page":{"title":"Adding rowid for each row","level":"1.4.1","depth":2,"next":{"title":"Hadoop tuning for Hivemall","level":"1.4.2","depth":2,"path":"tips/hadoop_tuning.md","ref":"tips/hadoop_tuning.md","articles":[]},"previous":{"title":"General Hive/Hadoop tips","level":"1.4","depth":1,"path":"tips/general_tips.md","ref":"tips/general_tips.md","articles":[{"title":"Adding rowid for each row","level":"1.4.1","depth":2,"path":"tips/rowid.md","ref":"tips/rowid.md","articles":[]},{"title":"Hadoop tuning for Hivemall","level":"1.4.2","depth":2,"path":"tips/hadoop_tuning.md","ref":"tips/hadoop_tuning.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.c ss","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/do cs/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":"tips/rowid.md","mtime":"2016-12-02T08:02:42.000Z","type":"markdown"},"gitbook":{"version":"3.2.2","time":"2017-02-02T05:07:49.882Z"},"basePath":". .","book":{"language":""}}); 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}); </script> </div> http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/2d3fdeb2/userguide/tips/rt_prediction.html ---------------------------------------------------------------------- diff --git a/userguide/tips/rt_prediction.html b/userguide/tips/rt_prediction.html index 61383e4..d30f074 100644 --- a/userguide/tips/rt_prediction.html +++ b/userguide/tips/rt_prediction.html @@ -1579,6 +1579,36 @@ </li> + <li class="chapter " data-level="9.2" data-path="../anomaly/sst.html"> + + <a href="../anomaly/sst.html"> + + + <b>9.2.</b> + + Change-Point Detection using Singular Spectrum Transformation (SST) + + </a> + + + + </li> + + <li class="chapter " data-level="9.3" data-path="../anomaly/changefinder.html"> + + <a href="../anomaly/changefinder.html"> + + + <b>9.3.</b> + + ChangeFinder: Detecting Outlier and Change-Point Simultaneously + + </a> + + + + </li> + @@ -1586,13 +1616,85 @@ - <li class="chapter " data-level="10.1" data-path="../spark/misc/misc.html"> + <li class="chapter " data-level="10.1" data-path="../spark/binaryclass/"> - <a href="../spark/misc/misc.html"> + <a href="../spark/binaryclass/"> <b>10.1.</b> + Binary Classification + + </a> + + + + <ul class="articles"> + + + <li class="chapter " data-level="10.1.1" data-path="../spark/binaryclass/a9a_df.html"> + + <a href="../spark/binaryclass/a9a_df.html"> + + + <b>10.1.1.</b> + + a9a Tutorial for DataFrame + + </a> + + + + </li> + + + </ul> + + </li> + + <li class="chapter " data-level="10.2" data-path="../spark/binaryclass/"> + + <a href="../spark/binaryclass/"> + + + <b>10.2.</b> + + Regression + + </a> + + + + <ul class="articles"> + + + <li class="chapter " data-level="10.2.1" data-path="../spark/regression/e2006_df.html"> + + <a href="../spark/regression/e2006_df.html"> + + + <b>10.2.1.</b> + + E2006-tfidf regression Tutorial for DataFrame + + </a> + + + + </li> + + + </ul> + + </li> + + <li class="chapter " data-level="10.3" data-path="../spark/misc/misc.html"> + + <a href="../spark/misc/misc.html"> + + + <b>10.3.</b> + Generic features </a> @@ -1602,12 +1704,12 @@ <ul class="articles"> - <li class="chapter " data-level="10.1.1" data-path="../spark/misc/topk_join.html"> + <li class="chapter " data-level="10.3.1" data-path="../spark/misc/topk_join.html"> <a href="../spark/misc/topk_join.html"> - <b>10.1.1.</b> + <b>10.3.1.</b> Top-k Join processing @@ -1869,15 +1971,15 @@ bin/sqoop <span class="hljs-built_in">export</span> \ </code></pre> <h1 id="onlinerealtime-prediction-on-mysql">Online/realtime prediction on MySQL</h1> <p>Define sigmoid function used for a prediction of logistic regression as follows: </p> -<pre><code class="lang-sql">DROP FUNCTION IF EXISTS sigmoid; -DELIMITER {% math %} -CREATE FUNCTION sigmoid(x DOUBLE) - RETURNS DOUBLE - LANGUAGE SQL -BEGIN - RETURN 1.0 / (1.0 + EXP(-x)); -END; -{% endmath %} +<pre><code class="lang-sql"><span class="hljs-keyword">DROP</span> <span class="hljs-keyword">FUNCTION</span> <span class="hljs-keyword">IF</span> <span class="hljs-keyword">EXISTS</span> sigmoid; +DELIMITER // +<span class="hljs-keyword">CREATE</span> <span class="hljs-keyword">FUNCTION</span> sigmoid(x <span class="hljs-keyword">DOUBLE</span>) + <span class="hljs-keyword">RETURNS</span> <span class="hljs-keyword">DOUBLE</span> + <span class="hljs-keyword">LANGUAGE</span> <span class="hljs-keyword">SQL</span> +<span class="hljs-keyword">BEGIN</span> + <span class="hljs-keyword">RETURN</span> <span class="hljs-number">1.0</span> / (<span class="hljs-number">1.0</span> + <span class="hljs-keyword">EXP</span>(-x)); +<span class="hljs-keyword">END</span>; +// DELIMITER ; </code></pre> <p>We assume here that doing prediction for a 'features' having (0,1,10) and each of them is a categorical feature (i.e., the weight is 1.0). Then, you can get the probability by logistic regression simply as follows:</p> @@ -1966,7 +2068,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda <script> var gitbook = gitbook || []; gitbook.push(function() { - gitbook.page.hasChanged({"page":{"title":"Real-time Prediction on RDBMS","level":"1.3.3","depth":2,"next":{"title":"Ensemble learning for stable prediction","level":"1.3.4","depth":2,"path":"tips/ensemble_learning.md","ref":"tips/ensemble_learning.md","articles":[]},"previous":{"title":"Use rand_amplify() to better prediction results","level":"1.3.2","depth":2,"path":"tips/rand_amplify.md","ref":"tips/rand_amplify.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.co m/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":t rue},"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":"tips/rt_prediction.md","mtime":"2016-12-02T08:02:42.000Z","type":"markdown"},"gitbook":{"version":"3.2.2","time":"2017-02-02T05:07:49.882Z"},"basePath":"..","book":{"language":""}}); 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