svn commit: r947224 - in /websites/staging/mahout/trunk/content: ./ index.html

[bu...@apache.org]

Author: buildbot
Date: Sat Apr 11 22:57:32 2015
New Revision: 947224

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 22:57:32 2015
@@ -1 +1 @@
-1672942
+1672943

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 22:57:32 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 Mahouts mature Hadoop MapReduce algorithms.</p>
-  <p><h5> <strong>11 Apr 2015 - Apache Mahout's next generation version 0.1.10 released</strong></h5></p>
+  <p><strong>11 Apr 2015 - Apache Mahout's next generation version 0.1.10 released</strong></h5>
   <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 symbol 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 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>
@@ -296,11 +296,7 @@
   <p><strong>Scalable community</strong>. The goal of Mahout is to build a vibrant, responsive, diverse community to facilitate
     discussions not only on the project itself but also on potential use cases. Come to the mailing lists to find out
     more.</p>
-  <p>Currently Mahout supports mainly three use cases: Recommendation mining takes users' behavior and from that tries to
-    find items users might like. Clustering takes e.g. text documents and groups them into groups of topically related
-    documents. Classification learns from exisiting categorized documents what documents of a specific category look
-    like and is able to assign unlabelled documents to the (hopefully) correct category.</p></p>
-<p><p>Interested in helping? Join the <a href="https://mahout.apache.org/general/mailing-lists,-irc-and-archives.html">Mailing lists</a>.</p></p>
+  <p>Interested in helping? Join the <a href="https://mahout.apache.org/general/mailing-lists,-irc-and-archives.html">Mailing lists</a>.</p></p>
 <h1 id="mahout-news">Mahout News</h1>
 <h4 id="1-february-2014-apache-mahout-09-released">1 February 2014 - Apache Mahout 0.9 released</h4>
 <p>Apache Mahout has reached version 0.9. All developers are encouraged to begin using version 0.9. Highlights include:</p>