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href="/users/clustering/spectral-clustering.html">Spectral Clustering</a></li> + <li class="nav-header">Clustering Commandline usage</li> + <li><a href="/users/clustering/k-means-commandline.html">Options for k-Means</a></li> + <li><a href="/users/clustering/canopy-commandline.html">Options for Canopy</a></li> + <li><a href="/users/clustering/fuzzy-k-means-commandline.html">Options for Fuzzy k-Means</a></li> + <li class="nav-header">Clustering Examples</li> + <li><a href="/users/clustering/clustering-of-synthetic-control-data.html">Synthetic data</a></li> + <li class="nav-header">Cluster Post processing</li> + <li><a href="/users/clustering/cluster-dumper.html">Cluster Dumper tool</a></li> + <li><a href="/users/clustering/visualizing-sample-clusters.html">Cluster visualisation</a></li> + <li class="nav-header">Recommendations</li> + <li><a href="/users/recommender/recommender-first-timer-faq.html">First Timer FAQ</a></li> + <li><a href="/users/recommender/userbased-5-minutes.html">A user-based recommender <br/>in 5 minutes</a></li> + <li><a href="/users/recommender/matrix-factorization.html">Matrix factorization-based<br/> recommenders</a></li> + <li><a href="/users/recommender/recommender-documentation.html">Overview</a></li> + <li><a href="/users/recommender/intro-itembased-hadoop.html">Intro to item-based recommendations<br/> with Hadoop</a></li> + <li><a href="/users/recommender/intro-als-hadoop.html">Intro to ALS recommendations<br/> with Hadoop</a></li> + </ul> + </li> + <!-- <li class="dropdown"> <a href="#" class="dropdown-toggle" data-toggle="dropdown">Recommendations<b class="caret"></b></a> + <ul class="dropdown-menu"> + + </ul> --> + </li> + </ul> +</div><!--/.nav-collapse --> + </div> + </div> + </div> + +</div> + + <div id="sidebar"> + <div id="sidebar-wrap"> + <h2>Twitter</h2> + <ul class="sidemenu"> + <li> +<a class="twitter-timeline" href="https://twitter.com/ApacheMahout"; data-widget-id="422861673444028416">Tweets by @ApacheMahout</a> +<script>!function(d,s,id){var js,fjs=d.getElementsByTagName(s)[0],p=/^http:/.test(d.location)?'http':'https';if(!d.getElementById(id)){js=d.createElement(s);js.id=id;js.src=p+"://platform.twitter.com/widgets.js";fjs.parentNode.insertBefore(js,fjs);}}(document,"script","twitter-wjs");</script> +</li> + </ul> + <h2>Apache Software Foundation</h2> + <ul class="sidemenu"> + <li><a href="http://www.apache.org/foundation/how-it-works.html";>How the ASF works</a></li> + <li><a href="http://www.apache.org/foundation/getinvolved.html";>Get Involved</a></li> + <li><a href="http://www.apache.org/dev/";>Developer Resources</a></li> + <li><a href="http://www.apache.org/foundation/sponsorship.html";>Sponsorship</a></li> + <li><a href="http://www.apache.org/foundation/thanks.html";>Thanks</a></li> + </ul> + <h2>Related Projects</h2> + <ul class="sidemenu"> + <li><a href="http://lucene.apache.org/";>Apache Lucene</a></li> + <li><a href="http://hadoop.apache.org/";>Apache Hadoop</a></li> + <li><a href="http://bigtop.apache.org/";>Apache Bigtop</a></li> + <li><a href="http://spark.apache.org/";>Apache Spark</a></li> + <li><a href="http://flink.apache.org/";>Apache Flink</a></li> + </ul> + </div> +</div> + + <div id="content-wrap" class="clearfix"> + <div id="main"> + + <h1 id="intro">Intro</h1> + +<p>This page is a place for info about talks (past and upcoming), tutorials, articles, books, slides, PDFs, discussions, etc. about Mahout. No endorsements are implied or +given.</p> + +<h1 id="books">Books</h1> + +<h2 id="mahout-specific">Mahout specific</h2> + +<ul> + <li><a href="http://www.weatheringthroughtechdays.com/2016/02/mahout-samsara-book-is-out.html";>Apache Mahout: Beyond MapReduce</a> by Dmitriy Lyubimov and Andrew Palumbo published Feb 2016. Covers new features in Mahout âSamsaraâ releases (0.10, 0.11+).</li> + <li><a href="http://www.packtpub.com/apache-mahout-cookbook/book";>Apache Mahout cookbook</a>- Book by Piero Giacomelli published Dec 2013 by Packtpub.</li> + <li><a href="http://www.manning.com/owen/";>Mahout in Action</a> - Book by Sean Owen, Robin Anil, Ted Dunning and Ellen Friedman published Oct 2011 by Manning Publications.</li> + <li><a href="http://www.manning.com/ingersoll/";>Taming Text</a> - By Grant Ingersoll and Tom Morton, published by Manning Publications. Will have some Mahout coverage, but by no means as complete as Mahout in Action.</li> +</ul> + +<h2 id="engineering-oriented-machine-learning-books">Engineering oriented machine learning books</h2> + +<ul> + <li><a href="http://www.amazon.com/Collective-Intelligence-Action-Satnam-Alag/dp/1933988312/ref=pd_bbs_sr_3?ie=UTF8&s=books&qid=1214545249&sr=1-3";>Collective Intelligence in Action</a></li> + <li><a href="http://www.amazon.com/Programming-Collective-Intelligence-Building-Applications/dp/0596529325/ref=pd_bbs_sr_1/104-1017533-9408723?ie=UTF8&s=books&qid=1214593516&sr=1-1";>Programming Collective Intelligence</a></li> + <li><a href="http://www.amazon.com/Algorithms-Intelligent-Web-Haralambos-Marmanis/dp/1933988665/ref=sr_1_1?s=books&ie=UTF8&qid=1298005918&sr=1-1";>Algorithms of the Intelligent Web</a></li> +</ul> + +<h2 id="scientific-background">Scientific background</h2> + +<ul> + <li><a href="http://www.cs.waikato.ac.nz/~ml/weka/book.html";>Data Mining: Practical Machine Learning Tools and Techniques</a></li> + <li><a href="http://www-nlp.stanford.edu/IR-book/";>Introduction to Information Retrieval</a></li> + <li><a href="http://www.amazon.com/Machine-Learning-Mcgraw-Hill-International-Edit/dp/0071154671/ref=pd_bbs_sr_1?ie=UTF8&s=books&qid=1214593709&sr=8-1";>Machine Learning</a></li> + <li><a href="http://www.amazon.com/Pattern-Recognition-Learning-Information-Statistics/dp/0387310738/ref=pd_bbs_sr_2?ie=UTF8&s=books&qid=1214593709&sr=8-2";>Pattern Recognition and Machine Learning (Information Science and Statistics) </a></li> +</ul> + +<h1 id="news-articles-and-tutorials">News, Articles and Tutorials</h1> + +<ul> + <li><a href="http://www.weatheringthroughtechdays.com/2015/04/mahout-010x-first-mahout-release-as.html";>Mahout 0.10.x: first Mahout release as a programming environment</a></li> + <li><a href="http://soleami.com/blog/comparing-document-classification-functions-of-lucene-and-mahout.html";>Comparing Document Classification Functions of Lucene and Mahout</a></li> + <li><a href="http://www.ibm.com/developerworks/java/library/j-mahout-scaling/";>Apache Mahout: Scalable Machine Learning for Everyone</a></li> + <li><a href="http://emmaespina.wordpress.com/2011/04/26/ham-spam-and-elephants-or-how-to-build-a-spam-filter-server-with-mahout/";>How to build a spam filter server with Mahout</a> - Applying classification on a live server - April 2011</li> + <li><a href="http://ssc.io/deploying-a-massively-scalable-recommender-system-with-apache-mahout/";>Deploying a massively scalable recommender system with Apache Mahout</a> - Blogpost of Sebastian Schelter in April 2011</li> + <li><a href="http://www.redmonk.com/cote/2010/11/04/makeall013/";>Apache Mahout & the commoditization of machine learning </a> - Podcast interview with Grant Ingersoll at ApacheCon 2010</li> + <li><a href="http://isabel-drost.de/hadoop/slides/devoxx.pdf";>Apache Mahout 0.4 mit neuen Algorithmen</a> - published after the 0.4 release by heise Open/ Developer, November 2010</li> + <li><a href="http://www.infoq.com/news/2009/04/mahout";>Mahout on InfoQ</a> - Interview with Grant Ingersoll on InfoQ</li> + <li><a href="http://www.cloudera.com/blog/2009/04/21/hadoop-uk-user-group-meeting/";>Mahout in the Cloudera weblog</a> - published after the Hadoop user group UK.</li> + <li><a href="http://blog.athico.com/2008/08/machine-learning-and-apache-mahout.html";>Mahout in the Drools weblog</a> - Michael Neale published an article on Mahout in the drools weblog</li> + <li><a href="https://www.ibm.com/developerworks/java/library/j-mahout/index.html";>Introducing Apache Mahout</a> - Grant Ingersoll - Intro to Apache Mahout focused on clustering, classification and collaborative filtering. Japanese translation available at: <a href="http://www.ibm.com/developerworks/jp/java/library/j-mahout/";>http://www.ibm.com/developerworks/jp/java/library/j-mahout/</a></li> + <li><a href="http://philippeadjiman.com/blog/2009/11/11/flexible-collaborative-filtering-in-java-with-mahout-taste/";>Flexible Collaborative Filtering In Java With Mahout Taste</a> - Philippe Adjiman - Quick starting guide on how to use the collaborative filtering package of Mahout (called Taste) to quickly and flexibly create, test and compare tailored recommendation engines.</li> + <li><a href="http://www.lucidimagination.com/blog/2010/03/16/integrating-apache-mahout-with-apache-lucene-and-solr-part-i-of-3/";>Integrating Mahout with Lucene and Solr</a> Three part series on ways to integrate Mahout with Lucene and Solr</li> + <li><a href="https://www.youtube.com/watch?v=yD40rVKUwPI";>Mahout Item Recommender Tutorial using Java and Eclipse</a> - YouTube video tutorial by Steve Cook</li> +</ul> + +<h1 id="courseworklectures">Coursework/Lectures</h1> + +<ul> + <li><a href="http://videolectures.net/mlss05us_chicago/";>http://videolectures.net/mlss05us_chicago/</a></li> + <li><a href="http://videolectures.net/mlas06_pittsburgh/";>http://videolectures.net/mlas06_pittsburgh/</a></li> + <li><a href="http://see.stanford.edu/see/lecturelist.aspx?coll=348ca38a-3a6d-4052-937d-cb017338d7b1";>Stanford Lectures on Machine Learning by Andrew Ng</a></li> + <li><a href="https://docs.google.com/open?id=0ByhGL2_SCeitMDQ3OTczNjItM2ZjYi00ZDg5LWE0MzItZGQxODQ5NzkzYjNj";>CMU@Qatar Introduction to Mahout lecture</a></li> +</ul> + +<h1 id="talks">Talks</h1> + +<p>In reverse chronological order, so that most recent talks are at the top</p> + +<ul> + <li>[Distributed Machine Learning with Apache Mahout] Suneel Marthi at Apache Big Data North America, Vancouver, Canada, May 11, 2016 and MapR Washington DC Big Data Everywhere, Tysons, VA, June 2 2016</li> + <li><a href="http://www.slideshare.net/FlinkForward/sebastian-schelter-distributed-machine-learing-with-the-samsara-dsl";>Declarative Machine Learning with the Samsara DSL</a> Sebastian Schelter at Flink Forward Conference, Berlin Germany, October 2015.</li> + <li><a href="http://www.slideshare.net/sscdotopen/bringing-algebraic-semantics-to-mahout";>Bringing Algebraic Semantics to Mahout</a> Sebastian Schelter at HPI Infolunch, Potsdam Germany, May 2014</li> + <li>Mahout Spark and Scala bindings: Bringing Algebraic Semantics (<a href="http://www.slideshare.net/DmitriyLyubimov/mahout-scala-and-spark-bindings";>slides</a>/<a href="http://youtu.be/h9dpmvNW1Dw";>video</a>) - Dmitriy Lyubimov at Mahout Meetup, April 17, 2014.</li> + <li>Mahout Future Directions - Ted Dunning, Suneel Marthi, Sebastian Schelter at Hadoop Summit Europe 2014, Amsterdam, April 3, 2014</li> + <li>Building Recommender Systems for Mere-Mortals - Sebastian Schelter at Researchgate Developer Day, Berlin, November 2013</li> + <li>Recommendations with Apache Mahout - Sebastian Schelter at IBM Almaden Research Center, San Jose, September 2013</li> + <li><a href="http://de.slideshare.net/sscdotopen/next-directions-in-mahouts-recommenders";>Next Directions in Mahoutâs Recommenders</a> - Sebastian Schelter at Bay Area Mahout Meetup, Redwood City, August 2013</li> + <li><a href="http://de.slideshare.net/sscdotopen/new-directions-in-mahouts-recommenders";>New Directions in Mahoutâs Recommenders</a> - Sebastian Schelter at Recommender Systems Get Together Berlin, April 2013</li> + <li><a href="http://www.slideshare.net/VaradMeru/introduction-to-mahout-and-machine-learning";>Introduction to Mahout and Machine Learning</a> - Slides by Varad Meru, Software Development Engineer at Orzota. July 27th, 2013.</li> + <li><a href="http://de.slideshare.net/sscdotopen/introduction-to-collaborative-filtering-with-apache-mahout";>An Introduction to Collaborative Filtering with Apache Mahout</a> - Sebastian Schelter at Recommender Systems Challenge Workshop in conjunction with ACM RecSys 2012, Dublin, September 2012</li> + <li><a href="https://github.com/ManuelB/facebook-recommender-demo/raw/master/docs/Talk-BedCon-Berlin-2012.pdf";>How to build a recommender system based on Mahout and JavaEE</a> - Slides by Manuel Blechschmidt at Berlin Expert Days March, 2012.</li> + <li><a href="http://lanyrd.com/2011/apachecon-north-america/skdtb/";>Apache Mahout for intelligent data analysis</a> - Slides from Isabel Drost at Apache Con NA November, 2011.</li> + <li><a href="http://lanyrd.com/2011/apachecon-north-america/skdrk/";>Dr. Mahout: Analyzing clinical data using scalable and distributed computing</a> - Slides from Shannon Quinn at Apache Con NA November, 2011.</li> + <li>Frank Scholten at Berlin Buzzwords on June 7, 2011.</li> + <li>Introduction to Collaborative Filtering using Mahout (updated) - Talk by Sean Owen at the London Hadoop User Group on April 14, 2011.</li> + <li><a href="http://www.meetup.com/LA-HUG/pages/Video_from_March_16th_LA-HUG_Ted_Dunning_Mahout";>Cool Tricks with Classifiers</a> - Talk by Ted Dunning at the Los Angeles HUG talking about Mahout classifiers on March 16, 2011.</li> + <li>First Mahout Hackathon, Berlin, March 2011</li> + <li><a href="http://blog.jteam.nl/2011/01/13/announcement-lucene-nl-mahout-meetup-with-isabel-drost-feb-7/";>Mahout meetup</a> - there were two talks at the Apache Mahout meetup at JTeam in Amsterdam, February 2011. <a href="http://isabel-drost.de/hadoop/slides/jteam.pdf";>intro slides</a></li> + <li><a href="http://www.fosdem.org/2011/schedule/event/mahoutclustering.html";>Mahout clustering </a> - Talk on Mahout clustering at data dev room FOSDEM, February 2011.</li> + <li>Scaling Data Analysis with Apache Mahout - talk on Mahout at OâReilly Strata, February 2011.</li> + <li><a href="http://www.slideshare.net/jaganadhg/mahout-tutorial-fossmeet-nitc";>Practical Machine Learning</a> - Slides from Biju B and Jaganadh G, FOSSMEET-NITC, Calicut, India, February 2011.</li> + <li><a href="http://www.javaedge.com/jedge/pdf/Mahout.pdf";>Mahout at AlphaCSPs The Edge 2010 (pdf)</a> - <a href="http://www.slideshare.net/arikogan/mahouts-presentation-at-alphacsps-the-edge-2010";>slideshare</a> - Slides from <a href="http://il.linkedin.com/in/arielkogan";>Ariel Kogan</a> AlphaCSPâs The Edge, December 2010.</li> + <li><a href="http://isabel-drost.de/hadoop/slides/devoxx.pdf";>Intelligent data analysis with Apache Mahout</a> - Slides from Isabel Drost, Devoxx Antwerp, November 2010.</li> + <li><a href="http://isabel-drost.de/hadoop/slides/codebits.pdf";>Apache Mahout introduction</a> - Slides from Isabel Drost, codebits Lisbon, November 2010.</li> + <li><a href="http://isabel-drost.de/hadoop/slides/apachecon_2010.pdf";>Apache Mahout - Making Data Analysis Easy</a> - Slides from Isabel Drost, Apache Con US Atlanta, November 2010.</li> + <li><a href="http://www.slideshare.net/jaganadhg/bck9";>Practical Machine Learning</a> - Slides from Jaganadh G, BarCamp Kerala 9, November 2010.</li> + <li><a href="http://www.slideshare.net/tdunning/sdforum-11042010";>Mahout and its new classification framework</a> - Slides from Ted Dunning, SDForum, November 2010.</li> + <li><a href="http://www.slideshare.net/sscdotopen/mahoutcf";>Distributed Item-based Collaborative Filtering with Apache Mahout</a> - Slides from Sebastian Schelter, Hadoop Get Together Berlin, October 2010.</li> + <li><a href="http://isabel-drost.de/hadoop/slides/HMM.pdf";>Hidden Markov Models for Mahout</a> - Slides from Max Heimel, Hadoop Get Together Berlin, October 2010.</li> + <li><a href="http://www.slideshare.net/robinanil/oscon-apache-mahout-mammoth-scale-machine-learning";>Apache Mahout Mammoth Scale Machine Learning </a> - Slides from Robin Anil, OSCON 2010.</li> + <li><a href="http://slidesha.re/9LxOIu";>Intro to Apache Mahout</a> - Slides from Grant Ingersoll, RTP Semantic Web Group.</li> + <li><a href="http://www.slideshare.net/ydn/3-biometric-hadoopsummit2010";>Case study: Biometric Databases and Hadoop </a> - Slides from Jason Trost, Hadoop Summit 2010.</li> + <li><a href="http://www.slideshare.net/hadoopusergroup/mail-antispam?from=ss_embed";>Spam Fighting at Yahoo</a></li> + <li><a href="http://www.slideshare.net/hadoopusergroup/bixo-hug-talk?from=ss_embed";>Web Mining with Ken Krugler</a></li> + <li><a href="http://berlinbuzzwords.wikidot.com/local--files/links-to-slides/ingersoll_bbuzz2010.pdf";>Keynote on intelligent search</a> - Slides from Grant Ingersoll, Berlin Buzzwords, June 2010.</li> + <li><a href="http://berlinbuzzwords.wikidot.com/local--files/links-to-slides/owen_bbuzz2010.pdf";>Simple co-occurrence-based recommendation on Hadoop</a> - Slides from Sean Owen, Berlin Buzzwords, June, 2010.</li> + <li><a href="http://berlinbuzzwords.wikidot.com/local--files/links-to-slides/scholten_bbuzz2010.odp";>Introduction to Collaborative Filtering using Mahout</a> - Slides from Frank Scholten, Berlin Buzzwords, June, 2010.</li> + <li><a href="http://lucene.grantingersoll.com/2010/02/16/trijug-intro-to-mahout-slides-and-demo-examples/";>Introduction to Scalable Machine Learning</a> - Slides and demos from Grant Ingersoll, March, 2010.</li> + <li>Mahout @ India Hadoop Summit - Slides from a 1 hour talk on Mahout at the India Hadoop Summit by Robin Anil, February 2010.</li> + <li><a href="http://www.isabel-drost.de/hadoop/slides/opensourceexpo09.pdf";>Mahout in 10 minutes</a> - Slides from a 10 min intro to Mahout at the Map Reduce tutorial by David Zülke at Open Source Expo in Karlsruhe, Isabel Drost, November 2009.</li> + <li><a href="http://www.isabel-drost.de/hadoop/slides/apacheconus2009.pdf";>Mahout at Apache Con US </a> - Slides from a talk on âGoing from raw data to informationâ (with Mahout) at Apache Con US in Oakland, Isabel Drost, November 2009.</li> + <li><a href="http://www.isabel-drost.de/hadoop/slides/froscon2009.pdf";>Mahout at FrOSCon</a> - Slides from a talk on Mahout at FrOSCon in Sankt Augustin, Isabel Drost, August 2009.</li> + <li><a href="http://www.isabel-drost.de/hadoop/slides/dai.pdf";>Mahout at DAI group TU Berlin</a> - Slides from a talk on Mahout at the DAI Laboratories TU Berlin, Isabel Drost, July 2009.</li> + <li><a href="http://www.isabel-drost.de/hadoop/slides/ulf.pdf";>Mahout at Machine Learning Group TU Berlin</a> - Slides from a talk on Hadoop with some detour to Mahout at the Machine</li> + <li>Learning Group of Prof. Dr. Klaus-Robert Müller at TU Berlin, Isabel Drost, June 2009.</li> + <li><a href="http://www.isabel-drost.de/hadoop/slides/google.pdf";>Mahout at Google Zürich</a> - Slides from a Google tech-talk on the past, present and future of Mahout, Isabel Drost, May 2009.</li> + <li><a href="http://static.last.fm/johan/huguk-20090414/isabel_drost-introducing_apache_mahout.pdf";>Hadoop user group UK</a> - Slides from a talk on April 14, 2009 at the Hadoop User Group UK in London, Isabel Drost, April 2009.</li> + <li><a href="http://cwiki.apache.org/confluence/download/attachments/88410/SDForum.pdf";>BI Over Petabytes: Meet Apache Mahout</a> - Slides from a talk by Jeff Eastman on April 21, 2009 at the Bay Area SD Forum Business Intelligence SIG meeting at SAP in Palo Alto, CA.</li> + <li>Lucene Meetup and Apache Barcamp in Amsterdam, March 2009.</li> + <li>BarCampRDU - (Raleigh) on Aug. 2, 2008</li> + <li>Introducing Mahout: Apache Machine Learning - Committer Grant Ingersoll gave a gentle introduction to Mahout and Machine Learning at ApacheCon in November (3rd through 7th) in New Orleans, USA.</li> + <li>Mahout: Scaling Machine Learning - Introduction to Mahout and machine learning at FrOSCon in Sankt Augustin/Germany, Isabel Drost, August 2008. (<a href="http://cwiki.apache.org/confluence/download/attachments/88410/froscon.pdf";>slides</a>)</li> + <li>Mahout: Scalable Machine Learning - An introduction to Mahout and machine learning at the first German Hadoop gathering in newthinking store/ Berlin, Isabel Drost, July 2008.</li> + <li>Apache Mahout: Industrial Strength Machine Learning - Committer Jeff Eastman gave an introduction to Mahout at Yahoo!, May 2008</li> + <li><a href="http://people.apache.org/~berndf/openexpode08-lucene-talk.pdf";>Apache Lucene - Machâs wie Google</a> - Bernd Fondermann presented an overview of the Apache Lucene project,</li> + <li>including Mahout at Open Source Expo 2008 in Karlsruhe, May 2008.</li> + <li>Apache Mahout: Bringing Machine Learning to Industrial Strength - Committer Isabel Drost gave a Fast Feather introduction the the new project Mahout at Apache Con EU April, 2008</li> +</ul> + + </div> + </div> +</div> + <footer class="footer" align="center"> + <div class="container"> + <p> + Copyright © 2014-2016 The Apache Software Foundation, Licensed under + the <a href="http://www.apache.org/licenses/LICENSE-2.0";>Apache License, Version 2.0</a>. + <br /> + Apache Mahout, Mahout, Apache, the Apache feather logo, and the elephant rider logo are either registered trademarks or trademarks of <a href="http://www.apache.org/foundation/marks/";>The Apache Software Foundation</a> in the United States and other countries. + </p> + </div> + </footer> + + <script src="/assets/themes/mahout-retro/js/jquery-1.9.1.min.js"></script> + <script src="/assets/themes/mahout-retro/js/bootstrap.min.js"></script> + <script> + (function() { + var cx = '012254517474945470291:vhsfv7eokdc'; + var gcse = document.createElement('script'); + gcse.type = 'text/javascript'; + gcse.async = true; + gcse.src = (document.location.protocol == 'https:' ? 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href="http://bigtop.apache.org/";>Apache Bigtop</a></li> + <li><a href="http://spark.apache.org/";>Apache Spark</a></li> + <li><a href="http://flink.apache.org/";>Apache Flink</a></li> + </ul> + </div> +</div> + + <div id="content-wrap" class="clearfix"> + <div id="main"> + + <p><a name="Downloads-OfficialRelease"></a></p> +<h1 id="official-release">Official Release</h1> +<p>Apache Mahout is an official Apache project and thus available from any of +the Apache mirrors. The latest Mahout release is available for download at:</p> + +<ul> + <li><a href="http://www.apache.org/dyn/closer.cgi/mahout/";>Download Latest</a></li> + <li><a href="http://archive.apache.org/dist/mahout/";>Release Archive</a></li> +</ul> + +<h1 id="source-code-for-the-current-snapshot">Source code for the current snapshot</h1> + +<p>Apache Mahout is mirrored to <a href="https://github.com/apache/mahout";>Github</a>. To get all source:</p> + +<div class="highlighter-rouge"><pre class="highlight"><code>git clone https://github.com/apache/mahout.git mahout +</code></pre> +</div> + +<h1 id="environment">Environment</h1> + +<p>Whether you are using Mahoutâs Shell, running command line jobs or using it as a library to build your own apps +youâll need to setup several environment variables. +Edit your environment in <code class="highlighter-rouge">~/.bash_profile</code> for Mac or <code class="highlighter-rouge">~/.bashrc</code> for many linux distributions. Add the following</p> + +<div class="highlighter-rouge"><pre class="highlight"><code>export MAHOUT_HOME=/path/to/mahout +export MAHOUT_LOCAL=true # for running standalone on your dev machine, +# unset MAHOUT_LOCAL for running on a cluster +</code></pre> +</div> + +<p>If you are running on Spark you will also need $SPARK_HOME</p> + +<p>Make sure to have $JAVA_HOME set also</p> + +<h1 id="using-mahout-as-a-library">Using Mahout as a Library</h1> + +<p>Running any application that uses Mahout will require installing a binary or source version and setting the environment.<br /> +Then add the appropriate setting to your pom.xml or build.sbt following the template below.</p> + +<p>If you only need the math part of Mahout:</p> + +<div class="highlighter-rouge"><pre class="highlight"><code><dependency> + <groupId>org.apache.mahout</groupId> + <artifactId>mahout-math</artifactId> + <version>${mahout.version}</version> +</dependency> +</code></pre> +</div> + +<p>In case you would like to use some of our integration tooling (e.g. for generating vectors from Lucene):</p> + +<div class="highlighter-rouge"><pre class="highlight"><code><dependency> + <groupId>org.apache.mahout</groupId> + <artifactId>mahout-hdfs</artifactId> + <version>${mahout.version}</version> +</dependency> +</code></pre> +</div> + +<p>In case you are using Ivy, Gradle, Buildr, Grape or SBT you might want to directly head over to the official <a href="http://mvnrepository.com/artifact/org.apache.mahout/mahout-core";>Maven Repository search</a>.</p> + +<p><a name="Downloads-FutureReleases"></a></p> +<h1 id="future-releases">Future Releases</h1> + +<p>Official releases are usually created when the developers feel there are +sufficient changes, improvements and bug fixes to warrant a release. Watch +the <a href="https://mahout.apache.org/general/mailing-lists,-irc-and-archives.html";>Mailing lists</a> + for latest release discussions and check the Github repo.</p> + + + </div> + </div> +</div> + <footer class="footer" align="center"> + <div class="container"> + <p> + Copyright © 2014-2016 The Apache Software Foundation, Licensed under + the <a href="http://www.apache.org/licenses/LICENSE-2.0";>Apache License, Version 2.0</a>. + <br /> + Apache Mahout, Mahout, Apache, the Apache feather logo, and the elephant rider logo are either registered trademarks or trademarks of <a href="http://www.apache.org/foundation/marks/";>The Apache Software Foundation</a> in the United States and other countries. + </p> + </div> + </footer> + + <script src="/assets/themes/mahout-retro/js/jquery-1.9.1.min.js"></script> + <script src="/assets/themes/mahout-retro/js/bootstrap.min.js"></script> + <script> + (function() { + var cx = '012254517474945470291:vhsfv7eokdc'; + var gcse = document.createElement('script'); + gcse.type = 'text/javascript'; + gcse.async = true; + gcse.src = (document.location.protocol == 'https:' ? 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