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Posted to commits@mahout.apache.org by bu...@apache.org on 2015/04/12 01:31:37 UTC

svn commit: r947233 - in /websites/staging/mahout/trunk/content: ./ index.html

Author: buildbot
Date: Sat Apr 11 23:31:37 2015
New Revision: 947233

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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--- cms:source-revision (original)
+++ cms:source-revision Sat Apr 11 23:31:37 2015
@@ -1 +1 @@
-1672944
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Modified: websites/staging/mahout/trunk/content/index.html
==============================================================================
--- websites/staging/mahout/trunk/content/index.html (original)
+++ websites/staging/mahout/trunk/content/index.html Sat Apr 11 23:31:37 2015
@@ -285,7 +285,7 @@
     </ul>
   </div>
   <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>
-  <h5><strong>11 Apr 2015 - Apache Mahout's next generation version 0.10.0 released</strong></h5>
+  <h4><strong>11 Apr 2015 - Apache Mahout's next generation version 0.10.0 released</strong></h4>
   <p><strong>Apache Mahout would like to introduce 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. It’s 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. You’ll 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>