svn commit: r947219 - in /websites/staging/mahout/trunk/content: ./ index.html

[bu...@apache.org]

Author: buildbot
Date: Sat Apr 11 22:45:46 2015
New Revision: 947219

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 22:45:46 2015
@@ -1 +1 @@
-1672940
+1672941

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 22:45:46 2015
@@ -257,7 +257,8 @@
    <div id="main">
     <h1>What is Apache Mahout?</h1>
 
-<h2>The Apache Mahout™ project's goal is to build a scalable machine learning library.</h2>
+<h2>The Apache Mahout™ project's goal is to build an environment for quickly creating scalable preformant machine learning applications.
+</h2>
 
 <p><div class="highlights">
     <a href="http://mahout.apache.org/general/downloads.html"><img src="http://mahout.apache.org/images/download-mahout.png"/></a>
@@ -283,7 +284,12 @@
       <li>Naive Bayes Classification</li>
     </ul>
   </div>
-  <p>With scalable we mean:</p>
+  <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>
+  <h5> <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>
+<p><p>With scalable we mean:</p>
   <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>