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Posted to commits@mahout.apache.org by bu...@apache.org on 2015/04/12 02:59:47 UTC
svn commit: r947255 - in /websites/staging/mahout/trunk/content: ./
index.html
Author: buildbot
Date: Sun Apr 12 00:59:46 2015
New Revision: 947255
Log:
Staging update by buildbot for mahout
Modified:
websites/staging/mahout/trunk/content/ (props changed)
websites/staging/mahout/trunk/content/index.html
Propchange: websites/staging/mahout/trunk/content/
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Modified: websites/staging/mahout/trunk/content/index.html
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<p>The three major components of Mahout are an environment for building scalable algorithms, many new Scala + Spark (H2O in progress) algorithms, and Mahout's mature Hadoop MapReduce algorithms.</p>
- <h4><strong>11 Apr 2015 - Apache Mahout's next generation version 0.10.0 released</strong></h4>
+ <h4><strong>11 April 2015 - Apache Mahout's next generation version 0.10.0 released</strong></h4>
<p><strong>Apache Mahout introduces a new math</strong> <a href="http://mahout.apache.org/users/sparkbindings/home.html"><strong>environment we call Samsara</strong></a>, for its theme of universal renewal. It reflects a fundamental rethinking of how scalable machine learning algorithms are built and customized. Mahout-Samsara is here to help people create their own math while providing some off-the-shelf algorithm implementations. At its base are general linear algebra and statistical operations along with the data structures to support them. Itâs written in Scala with Mahout-specific extensions, and runs most fully on Spark.</p></p>
<p><p><a href="http://mahout.apache.org/users/basics/algorithms.html"><strong>Mahout Algorithms</strong></a> include many new implementations built for speed on Mahout-Samsara. They run on Spark and some on H2O, which means as much as a 10x speed increase. Youâll find robust matrix decomposition algorithms as well as a Naive Bayes classifier and collaborative filtering.</p></p>
<p><p><strong>Mahout MapReduce</strong> includes the best of Hadoop MapReduce algorithms from Mahout v 0.9 but now with dependency updates and full Hadoop 2 support.</p></p>