http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/ce452ddb/userguide/binaryclass/news20_rf.html ---------------------------------------------------------------------- diff --git a/userguide/binaryclass/news20_rf.html b/userguide/binaryclass/news20_rf.html index 9b3e93f..b9f7848 100644 --- a/userguide/binaryclass/news20_rf.html +++ b/userguide/binaryclass/news20_rf.html @@ -125,7 +125,7 @@ <li> - <a href="http://hivemall.incubator.apache.org/"; target="_blank" class="custom-link"><i class="fa fa-home"></i> Home</a> + <a href="https://hivemall.incubator.apache.org/"; target="_blank" class="custom-link"><i class="fa fa-home"></i> Home</a> </li> @@ -2283,7 +2283,7 @@ --> <p>Hivemall Random Forest supports libsvm-like sparse inputs. </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>This feature, i.e., Sparse input support in Random Forest, is supported since Hivemall v0.5.0 or later._ -<a href="http://hivemall.incubator.apache.org/userguide/ft_engineering/hashing.html#featurehashing-function"; target="_blank"><code>feature_hashing</code></a> function is useful to prepare feature vectors for Random Forest.</p></div></div> +<a href="https://hivemall.incubator.apache.org/userguide/ft_engineering/hashing.html#featurehashing-function"; target="_blank"><code>feature_hashing</code></a> function is useful to prepare feature vectors for Random Forest.</p></div></div> <!-- toc --><div id="toc" class="toc"> <ul> @@ -2405,7 +2405,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda <script> var gitbook = gitbook || []; gitbook.push(function() { - gitbook.page.hasChanged({"page":{"title":"Random Forest","level":"6.3.5","depth":2,"next":{"title":"KDD2010a Tutorial","level":"6.4","depth":1,"path":"binaryclass/kdd2010a.md","ref":"binaryclass/kdd2010a.md","articles":[{"title":"Data preparation","level":"6.4.1","depth":2,"path":"binaryclass/kdd2010a_dataset.md","ref":"binaryclass/kdd2010a_dataset.md","articles":[]},{"title":"PA, CW, AROW, SCW","level":"6.4.2","depth":2,"path":"binaryclass/kdd2010a_scw.md","ref":"binaryclass/kdd2010a_scw.md","articles":[]}]},"previous":{"title":"AdaGradRDA, AdaGrad, AdaDelta","level":"6.3.4","depth":2,"path":"binaryclass/news20_adagrad.md","ref":"binaryclass/news20_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":"s tyles/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/tree/master/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":"binaryclass/news20_rf.md","mtime":"2018-09-05T04:18:51.748Z","t ype":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-09-05T09:13:37.462Z"},"basePath":"..","book":{"language":""}}); 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}); </script> </div> http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/ce452ddb/userguide/binaryclass/titanic_rf.html ---------------------------------------------------------------------- diff --git a/userguide/binaryclass/titanic_rf.html b/userguide/binaryclass/titanic_rf.html index 4c0bac5..1c95241 100644 --- a/userguide/binaryclass/titanic_rf.html +++ b/userguide/binaryclass/titanic_rf.html @@ -125,7 +125,7 @@ <li> - <a href="http://hivemall.incubator.apache.org/"; target="_blank" class="custom-link"><i class="fa fa-home"></i> Home</a> + <a href="https://hivemall.incubator.apache.org/"; target="_blank" class="custom-link"><i class="fa fa-home"></i> Home</a> </li> @@ -2499,7 +2499,7 @@ sed -i <span class="hljs-_">-e</span> <span class="hljs-string">"1i Passeng <h1 id="graphviz-export">Graphviz export</h1> <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><code>tree_export</code> feature is supported from Hivemall v0.5.0 or later. Better to limit tree depth on training by <code>-depth</code> option to plot a Decision Tree.</p></div></div> -<p>Hivemall provide <code>tree_export</code> to export a decision tree into <a href="http://www.graphviz.org/"; target="_blank">Graphviz</a> or human-readable Javascript format. You can find the usage by issuing the following query:</p> +<p>Hivemall provide <code>tree_export</code> to export a decision tree into <a href="https://www.graphviz.org/"; target="_blank">Graphviz</a> or human-readable Javascript format. You can find the usage by issuing the following query:</p> <pre><code>> select tree_export("","-help"); usage: tree_export(string model, const string options, optional @@ -2523,7 +2523,7 @@ usage: tree_export(string model, const string options, optional <span class="hljs-comment">-- limit 1</span> ; </code></pre> -<p><a href="https://gist.github.com/myui/a83ba3795bad9b278cf8bcc59f946e2c#file-titanic-dot"; target="_blank">Here is an example</a> plotting a decision tree using Graphviz or <a href="http://viz-js.com/"; target="_blank">Vis.js</a>.</p> +<p><a href="https://gist.github.com/myui/a83ba3795bad9b278cf8bcc59f946e2c#file-titanic-dot"; target="_blank">Here is an example</a> plotting a decision tree using Graphviz or <a href="https://viz-js.com/"; target="_blank">Vis.js</a>.</p> <hr> <h1 id="test-by-dividing-training-dataset">Test by dividing training dataset</h1> <pre><code class="lang-sql"><span class="hljs-keyword">drop</span> <span class="hljs-keyword">table</span> train_rf_07; @@ -2679,7 +2679,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda <script> var gitbook = gitbook || []; 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target="_blank" class="custom-link"><i class="fa fa-home"></i> Home</a> + <a href="https://hivemall.incubator.apache.org/"; target="_blank" class="custom-link"><i class="fa fa-home"></i> Home</a> </li> @@ -2282,7 +2282,7 @@ under the License. --> <p>Get the dataset from -<a href="http://www.csie.ntu.edu.tw/~cjlin/libsvmtools/datasets/binary.html#webspam"; target="_blank">http://www.csie.ntu.edu.tw/~cjlin/libsvmtools/datasets/binary.html#webspam</a></p> +<a href="https://www.csie.ntu.edu.tw/~cjlin/libsvmtools/datasets/binary.html#webspam"; target="_blank">https://www.csie.ntu.edu.tw/~cjlin/libsvmtools/datasets/binary.html#webspam</a></p> <h1 id="putting-data-on-hdfs">Putting data on HDFS</h1> <pre><code class="lang-sql">hadoop fs -mkdir -p /dataset/webspam/raw @@ -2406,7 +2406,7 @@ 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 pareparation","level":"6.6.1","depth":2,"next":{"title":"PA1, AROW, SCW","level":"6.6.2","depth":2,"path":"binaryclass/webspam_scw.md","ref":"binaryclass/webspam_scw.md","articles":[]},"previous":{"title":"Webspam Tutorial","level":"6.6","depth":1,"path":"binaryclass/webspam.md","ref":"binaryclass/webspam.md","articles":[{"title":"Data pareparation","level":"6.6.1","depth":2,"path":"binaryclass/webspam_dataset.md","ref":"binaryclass/webspam_dataset.md","articles":[]},{"title":"PA1, AROW, SCW","level":"6.6.2","depth":2,"path":"binaryclass/webspam_scw.md","ref":"binaryclass/webspam_scw.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":"sty les/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":"ht tps://github.com/apache/incubator-hivemall/tree/master/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":"binaryclass/webspam_dataset.md","mtime":"2018-08-29T08:55:00.269Z","type":"markdown"},"gi tbook":{"version":"3.2.3","time":"2018-09-05T09:13:37.462Z"},"basePath":"..","book":{"language":""}}); 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}); </script> </div> http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/ce452ddb/userguide/clustering/plsa.html ---------------------------------------------------------------------- diff --git a/userguide/clustering/plsa.html b/userguide/clustering/plsa.html index 5ab863b..1734722 100644 --- a/userguide/clustering/plsa.html +++ b/userguide/clustering/plsa.html @@ -125,7 +125,7 @@ <li> - <a href="http://hivemall.incubator.apache.org/"; target="_blank" class="custom-link"><i class="fa fa-home"></i> Home</a> + <a href="https://hivemall.incubator.apache.org/"; target="_blank" class="custom-link"><i class="fa fa-home"></i> Home</a> </li> @@ -2283,12 +2283,12 @@ --> <p>As described in <a href="lda.html">our user guide for Latent Dirichlet Allocation (LDA)</a>, Hivemall enables you to apply clustering for your data based on a topic modeling technique. While LDA is one of the most popular techniques, there is another approach named <strong>Probabilistic Latent Semantic Analysis</strong> (pLSA). In fact, pLSA is the predecessor of LDA, but it has an advantage in terms of running time.</p> <ul> -<li>T. Hofmann. <a href="http://dl.acm.org/citation.cfm?id=312649"; target="_blank">Probabilistic Latent Semantic Indexing</a>. SIGIR 1999, pp. 50-57.</li> -<li>T. Hofmann. <a href="http://www.iro.umontreal.ca/~nie/IFT6255/Hofmann-UAI99.pdf"; target="_blank">Probabilistic Latent Semantic Analysis</a>. UAI 1999, pp. 289-296.</li> +<li>T. Hofmann. <a href="https://dl.acm.org/citation.cfm?id=312649"; target="_blank">Probabilistic Latent Semantic Indexing</a>. SIGIR 1999, pp. 50-57.</li> +<li>T. Hofmann. <a href="https://www.iro.umontreal.ca/~nie/IFT6255/Hofmann-UAI99.pdf"; target="_blank">Probabilistic Latent Semantic Analysis</a>. UAI 1999, pp. 289-296.</li> </ul> <p>In order to efficiently handle large-scale data, our pLSA implementation is based on the following incremental variant of the original pLSA algorithm:</p> <ul> -<li>H. Wu, et al. <a href="http://dl.acm.org/citation.cfm?id=1454026"; target="_blank">Incremental Probabilistic Latent Semantic Analysis for Automatic Question Recommendation</a>. RecSys 2008, pp. 99-106.</li> +<li>H. Wu, et al. <a href="https://dl.acm.org/citation.cfm?id=1454026"; target="_blank">Incremental Probabilistic Latent Semantic Analysis for Automatic Question Recommendation</a>. RecSys 2008, pp. 99-106.</li> </ul> <!-- toc --><div id="toc" class="toc"> @@ -2585,7 +2585,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda <script> var gitbook = gitbook || []; gitbook.push(function() { - gitbook.page.hasChanged({"page":{"title":"Probabilistic Latent Semantic Analysis","level":"11.2","depth":1,"next":{"title":"Lat/Lon functions","level":"12.1","depth":1,"path":"geospatial/latlon.md","ref":"geospatial/latlon.md","articles":[]},"previous":{"title":"Latent Dirichlet Allocation","level":"11.1","depth":1,"path":"clustering/lda.md","ref":"clustering/lda.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/"},"; 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}); </script> </div> http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/ce452ddb/userguide/eval/binary_classification_measures.html ---------------------------------------------------------------------- diff --git a/userguide/eval/binary_classification_measures.html b/userguide/eval/binary_classification_measures.html index 43f0600..58f6a5a 100644 --- a/userguide/eval/binary_classification_measures.html +++ b/userguide/eval/binary_classification_measures.html @@ -125,7 +125,7 @@ <li> - <a href="http://hivemall.incubator.apache.org/"; target="_blank" class="custom-link"><i class="fa fa-home"></i> Home</a> + <a href="https://hivemall.incubator.apache.org/"; target="_blank" class="custom-link"><i class="fa fa-home"></i> Home</a> </li> @@ -2419,7 +2419,7 @@ F1-score is computed by the following equation:</p> <div class="panel panel-warning"><div class="panel-heading"><h3 class="panel-title" id="caution"><i class="fa fa-exclamation-triangle"></i> Caution</h3></div><div class="panel-body"><p>Hivemall also provides <code>f1score</code> function, but it is old function to obtain F1-score. The value of <code>f1score</code> is based on set operation. So, we recommend to use <code>fmeasure</code> function to get F1-score based on this article.</p></div></div> <p>You can learn more about this from the following external resource:</p> <ul> -<li><a href="http://scikit-learn.org/stable/modules/generated/sklearn.metrics.f1_score.html"; target="_blank">scikit-learn's F1-score</a></li> +<li><a href="https://scikit-learn.org/stable/modules/generated/sklearn.metrics.f1_score.html"; target="_blank">scikit-learn's F1-score</a></li> </ul> <h3 id="micro-average">Micro average</h3> <p>If <code>micro</code> is passed to <code>average</code>, @@ -2478,7 +2478,7 @@ if <span class="katex"><span class="katex-mathml"><math><semantics><mrow><mi>&#x </blockquote> <p>You can learn more about this from the following external resource:</p> <ul> -<li><a href="http://scikit-learn.org/stable/modules/generated/sklearn.metrics.fbeta_score.html"; target="_blank">scikit-learn's FMeasure</a></li> +<li><a href="https://scikit-learn.org/stable/modules/generated/sklearn.metrics.fbeta_score.html"; 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