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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> @@ -2340,7 +2340,7 @@ </blockquote> <h1 id="references">References</h1> <ul> -<li>R2 <a href="http://en.wikipedia.org/wiki/Coefficient_of_determination"; target="_blank">http://en.wikipedia.org/wiki/Coefficient_of_determination</a></li> +<li>R2 <a href="https://en.wikipedia.org/wiki/Coefficient_of_determination"; target="_blank">https://en.wikipedia.org/wiki/Coefficient_of_determination</a></li> <li>Evaluation Metrics <a href="https://www.kaggle.com/wiki/Metrics"; target="_blank">https://www.kaggle.com/wiki/Metrics</a></li> </ul> <p><div id="page-footer" class="localized-footer"><hr><!-- @@ -2398,7 +2398,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda <script> var gitbook = gitbook || []; gitbook.push(function() { - gitbook.page.hasChanged({"page":{"title":"Regression Metrics","level":"4.3","depth":1,"next":{"title":"Ranking Measures","level":"4.4","depth":1,"path":"eval/rank.md","ref":"eval/rank.md","articles":[]},"previous":{"title":"Multi-label Classification Metrics","level":"4.2","depth":1,"path":"eval/multilabel_classification_measures.md","ref":"eval/multilabel_classification_measures.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/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","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"},"; 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}); </script> </div> http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/ce452ddb/userguide/ft_engineering/polynomial.html ---------------------------------------------------------------------- diff --git a/userguide/ft_engineering/polynomial.html b/userguide/ft_engineering/polynomial.html index b0130e6..43e1d9e 100644 --- a/userguide/ft_engineering/polynomial.html +++ b/userguide/ft_engineering/polynomial.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> @@ -2289,10 +2289,10 @@ </ul> </div><!-- tocstop --> -<p><a href="http://en.wikipedia.org/wiki/Polynomial_kernel"; target="_blank">Polynomial features</a> allows you to do <a href="https://class.coursera.org/ml-005/lecture/23"; target="_blank">non-linear regression</a>/classification with a linear model.</p> +<p><a href="https://en.wikipedia.org/wiki/Polynomial_kernel"; target="_blank">Polynomial features</a> allows you to do <a href="https://class.coursera.org/ml-005/lecture/23"; target="_blank">non-linear regression</a>/classification with a linear model.</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>Polynomial Features assumes normalized inputs because <code>x**n</code> easily becomes INF/-INF where <code>n</code> is large.</p></div></div> <h1 id="polynomial-features">Polynomial Features</h1> -<p>As <a href="http://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.PolynomialFeatures.html"; target="_blank">a similar to one in Scikit-Learn</a>, <code>polynomial_feature(array<String> features, int degree [, boolean interactionOnly=false, boolean truncate=true])</code> is a function to generate polynomial and interaction features.</p> +<p>As <a href="https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.PolynomialFeatures.html"; target="_blank">a similar to one in Scikit-Learn</a>, <code>polynomial_feature(array<String> features, int degree [, boolean interactionOnly=false, boolean truncate=true])</code> is a function to generate polynomial and interaction features.</p> <pre><code class="lang-sql">select polynomial_features(array("a:0.5","b:0.2"), 2); > ["a:0.5","a^a:0.25","a^b:0.1","b:0.2","b^b:0.040000003"] @@ -2384,7 +2384,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda <script> var gitbook = gitbook || []; gitbook.push(function() { - gitbook.page.hasChanged({"page":{"title":"Polynomial features","level":"3.5.1","depth":2,"next":{"title":"Feature Transformation","level":"3.6","depth":1,"path":"ft_engineering/ft_trans.md","ref":"ft_engineering/ft_trans.md","articles":[{"title":"Feature vectorization","level":"3.6.1","depth":2,"path":"ft_engineering/vectorization.md","ref":"ft_engineering/vectorization.md","articles":[]},{"title":"Quantify non-number features","level":"3.6.2","depth":2,"path":"ft_engineering/quantify.md","ref":"ft_engineering/quantify.md","articles":[]}]},"previous":{"title":"Feature Paring","level":"3.5","depth":1,"path":"ft_engineering/pairing.md","ref":"ft_engineering/pairing.md","articles":[{"title":"Polynomial features","level":"3.5.1","depth":2,"path":"ft_engineering/polynomial.md","ref":"ft_engineering/polynomial.md","articles":[]}]},"dir":"ltr"},"config":{"plugins":["theme-api","edit-link","github","splitter","sitemap","etoc","callouts","toggle-chapters","anchorjs","codeblock-fi lename","expandable-chapters","multipart","codeblock-filename","katex","emphasize","localized-footer"],"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"pluginsConfig":{"emphasize":{},"callouts":{},"etoc":{"h2lb":3,"header":1,"maxdepth":3,"mindepth":1,"notoc":true},"github":{"url":"https://github.com/apache/incubator-hivemall/"},"splitter":{},"search":{},"downloadpdf":{"base":"https://github.com/apache/incubator-hivemall/docs/gitbook","label":"PDF","multilingual":false},"multipart":{},"localized-footer":{"filename":"FOOTER.md","hline":"true"},"lunr":{"maxIndexSize":1000000,"ignoreSpecialCharacters":false},"katex":{},"fontsettings":{"theme":"white","family":"sans","size":2,"font":"sans"},"highlight":{},"codeblock-filename":{},"sitemap":{"hostname":"http://hivemall.incubator.apache.org/"},"theme-api":{"languages":[],"split":false,"theme":"dark"},"sharing":{"facebook"; 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}); </script> </div> http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/ce452ddb/userguide/ft_engineering/scaling.html ---------------------------------------------------------------------- diff --git a/userguide/ft_engineering/scaling.html b/userguide/ft_engineering/scaling.html index 4232ace..8869b7b 100644 --- a/userguide/ft_engineering/scaling.html +++ b/userguide/ft_engineering/scaling.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> @@ -2305,7 +2305,7 @@ <p>["apple:0.8944272","banana:0.4472136"]</p> </blockquote> <h1 id="min-max-normalization">Min-Max Normalization</h1> -<p><a href="http://en.wikipedia.org/wiki/Feature_scaling#Rescaling"; target="_blank">http://en.wikipedia.org/wiki/Feature_scaling#Rescaling</a></p> +<p><a href="https://en.wikipedia.org/wiki/Feature_scaling#Rescaling"; target="_blank">https://en.wikipedia.org/wiki/Feature_scaling#Rescaling</a></p> <pre><code class="lang-sql"><span class="hljs-keyword">select</span> <span class="hljs-keyword">min</span>(target), <span class="hljs-keyword">max</span>(target) <span class="hljs-keyword">from</span> ( <span class="hljs-keyword">select</span> target <span class="hljs-keyword">from</span> e2006tfidf_train @@ -2329,7 +2329,7 @@ e2006tfidf_train; </code></pre> <h1 id="feature-scaling-by-zscore">Feature scaling by zscore</h1> -<p><a href="http://en.wikipedia.org/wiki/Standard_score"; target="_blank">http://en.wikipedia.org/wiki/Standard_score</a></p> +<p><a href="https://en.wikipedia.org/wiki/Standard_score"; target="_blank">https://en.wikipedia.org/wiki/Standard_score</a></p> <pre><code class="lang-sql"><span class="hljs-keyword">select</span> <span class="hljs-keyword">avg</span>(target), <span class="hljs-keyword">stddev_pop</span>(target) <span class="hljs-keyword">from</span> ( <span class="hljs-keyword">select</span> target <span class="hljs-keyword">from</span> e2006tfidf_train @@ -2511,7 +2511,7 @@ 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/ce452ddb/userguide/ft_engineering/selection.html ---------------------------------------------------------------------- diff --git a/userguide/ft_engineering/selection.html b/userguide/ft_engineering/selection.html index 2787632..c5a99f6 100644 --- a/userguide/ft_engineering/selection.html +++ b/userguide/ft_engineering/selection.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> @@ -2306,7 +2306,7 @@ <h1 id="supported-feature-selection-algorithms">Supported Feature Selection algorithms</h1> <ul> <li>Chi-square (Chi2)<ul> -<li>In statistics, the <span class="katex"><span class="katex-mathml"><math><semantics><mrow><msup><mi>χ</mi><mn>2</mn></msup></mrow><annotation encoding="application/x-tex">\chi^2</annotation></semantics></math></span><span class="katex-html" aria-hidden="true"><span class="strut" style="height:0.8141079999999999em;"></span><span class="strut bottom" style="height:1.008548em;vertical-align:-0.19444em;"></span><span class="base textstyle uncramped"><span class="mord"><span class="mord mathit">χ</span><span class="msupsub"><span class="vlist"><span style="top:-0.363em;margin-right:0.05em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="reset-textstyle scriptstyle uncramped mtight"><span class="mord mathrm mtight">2</span></span></span><span class="baseline-fix"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span>​</span></span></span></span></span></spa n></span> test is applied to test the independence of two even events. Chi-square statistics between every feature variable and the target variable can be applied to Feature Selection. Refer <a href="http://nlp.stanford.edu/IR-book/html/htmledition/feature-selectionchi2-feature-selection-1.html"; target="_blank">this article</a> for Mathematical details.</li> +<li>In statistics, the <span class="katex"><span class="katex-mathml"><math><semantics><mrow><msup><mi>χ</mi><mn>2</mn></msup></mrow><annotation encoding="application/x-tex">\chi^2</annotation></semantics></math></span><span class="katex-html" aria-hidden="true"><span class="strut" style="height:0.8141079999999999em;"></span><span class="strut bottom" style="height:1.008548em;vertical-align:-0.19444em;"></span><span class="base textstyle uncramped"><span class="mord"><span class="mord mathit">χ</span><span class="msupsub"><span class="vlist"><span style="top:-0.363em;margin-right:0.05em;"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span><span class="reset-textstyle scriptstyle uncramped mtight"><span class="mord mathrm mtight">2</span></span></span><span class="baseline-fix"><span class="fontsize-ensurer reset-size5 size5"><span style="font-size:0em;">​</span></span>​</span></span></span></span></span></spa n></span> test is applied to test the independence of two even events. Chi-square statistics between every feature variable and the target variable can be applied to Feature Selection. Refer <a href="https://nlp.stanford.edu/IR-book/html/htmledition/feature-selectionchi2-feature-selection-1.html"; target="_blank">this article</a> for Mathematical details.</li> </ul> </li> <li>Signal Noise Ratio (SNR)<ul> @@ -2543,7 +2543,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda <script> var gitbook = gitbook || []; gitbook.push(function() { - gitbook.page.hasChanged({"page":{"title":"Feature Selection","level":"3.3","depth":1,"next":{"title":"Feature Binning","level":"3.4","depth":1,"path":"ft_engineering/binning.md","ref":"ft_engineering/binning.md","articles":[]},"previous":{"title":"Feature Hashing","level":"3.2","depth":1,"path":"ft_engineering/hashing.md","ref":"ft_engineering/hashing.md","articles":[]},"dir":"ltr"},"config":{"plugins":["theme-api","edit-link","github","splitter","sitemap","etoc","callouts","toggle-chapters","anchorjs","codeblock-filename","expandable-chapters","multipart","codeblock-filename","katex","emphasize","localized-footer"],"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"pluginsConfig":{"emphasize":{},"callouts":{},"etoc":{"h2lb":3,"header":1,"maxdepth":3,"mindepth":1,"notoc":true},"github":{"url":"https://github.com/apache/incubator-hivemall/"},"splitter":{} ,"search":{},"downloadpdf":{"base":"https://github.com/apache/incubator-hivemall/docs/gitbook","label":"PDF","multilingual":false},"multipart":{},"localized-footer":{"filename":"FOOTER.md","hline":"true"},"lunr":{"maxIndexSize":1000000,"ignoreSpecialCharacters":false},"katex":{},"fontsettings":{"theme":"white","family":"sans","size":2,"font":"sans"},"highlight":{},"codeblock-filename":{},"sitemap":{"hostname":"http://hivemall.incubator.apache.org/"},"theme-api":{"languages":[],"split":false,"theme":"dark"},"sharing":{"facebook":true,"twitter":true,"google":false,"weibo":false,"instapaper":false,"vk":false,"all":["facebook","google","twitter","weibo","instapaper"]},"edit-link":{"label":"Edit","base":"https://github.com/apache/incubator-hivemall/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":"ft_engineering/selection.md","mtime":"2018-08-29T08:55:00.273Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-09-05T09:13:37.462Z"},"basePath":"..","book":{"language":""}}); 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