svn commit: r947238 - in /websites/staging/mahout/trunk/content: ./ index.html

[bu...@apache.org]

Author: buildbot
Date: Sat Apr 11 23:53:50 2015
New Revision: 947238

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/
------------------------------------------------------------------------------
--- cms:source-revision (original)
+++ cms:source-revision Sat Apr 11 23:53:50 2015
@@ -1 +1 @@
-1672947
+1672948

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 23:53:50 2015
@@ -289,7 +289,7 @@
   <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. 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>
-<p><h5>By scalable we mean:</h5>
+<p><h4>By scalable we mean:</h4>
   <p><strong>Scalable to large data sets</strong>. Our <a href="http://mahout.apache.org/users/basics/algorithms.html">core algorithms</a> for clustering, classfication and collaborative filtering are implemented on top of scalable, distributed systems. However, contributions that run on a single machine are welcome as well.</p>
   <p><strong>Scalable to support your business case</strong>. Mahout is distributed under a commercially friendly Apache Software
     license.</p>