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href="http://github.com/apache/mahout";>Github</a></li>--> - </div><!-- /.container-fluid --> + + + <!--</ul>--> + </div><!-- /.navbar-collapse --> + </div> </nav> -<body> + <div class="container mt-5 pb-4"> -<div id="wrap"> - <body class=""> + <div class="row"> - <div class="container"> - <p>Mahout has a Top K Parallel FPGrowth Implementation. Its based on the paper <a href="http://infolab.stanford.edu/~echang/recsys08-69.pdf";>http://infolab.stanford.edu/~echang/recsys08-69.pdf</a> + <div class="col-lg-8"> + <p>Mahout has a Top K Parallel FPGrowth Implementation. Its based on the paper <a href="http://infolab.stanford.edu/~echang/recsys08-69.pdf";>http://infolab.stanford.edu/~echang/recsys08-69.pdf</a> with some optimisations in mining the data.</p> <p>Given a huge transaction list, the algorithm finds all unique features(sets @@ -217,7 +177,7 @@ creating Iterators, Convertors and TopKPatternWritable for that particular object. For more information please refer the package org.apache.mahout.fpm.pfpgrowth.convertors.string</p> -<pre><code>e.g: +<div class="highlighter-rouge"><pre class="highlight"><code>e.g: FPGrowth<String> fp = new FPGrowth<String>(); Set<String> features = new HashSet<String>(); fp.generateTopKStringFrequentPatterns( @@ -230,6 +190,7 @@ org.apache.mahout.fpm.pfpgrowth.convertors.string</p> new StringOutputConvertor(new SequenceFileOutputCollector<Text, TopKStringPatterns>(writer)) ); </code></pre> +</div> <ul> <li>The first argument is the iterator of transaction in this case its @@ -384,30 +345,26 @@ Open questions: how does one experiment and monitor with these various parameters? </TOKEN2></TOKEN1></optional> - </div> - + </div> -</div> -<div id="footer"> - <div class="container"> - <p>© 2017 Apache Mahout - with help from <a href="http://jekyllbootstrap.com"; target="_blank" title="The Definitive Jekyll Blogging Framework">Jekyll Bootstrap</a> - and <a href="http://getbootstrap.com"; 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Given training @@ -239,30 +199,26 @@ planned to provide unit tests and at least one example based on the WebKB dataset by the end of November for the serial version. 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