Author: buildbot
Date: Sun Apr 12 16:57:29 2015
New Revision: 947316

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 Sun Apr 12 16:57:29 2015
@@ -1 +1 @@
-1672959
+1673030

Modified: websites/staging/mahout/trunk/content/index.html
==============================================================================
--- websites/staging/mahout/trunk/content/index.html (original)
+++ websites/staging/mahout/trunk/content/index.html Sun Apr 12 16:57:29 2015
@@ -262,44 +262,37 @@
 
 <p><div class="highlights">
     <a href="http://mahout.apache.org/general/downloads.html";><img 
src="http://mahout.apache.org/images/download-mahout.png"/></a>
-    <h4>Latest release version 0.10.0 has:</h4>
+    <h4>Latest release version 0.10.0 has</h4>
     <h6>Mahout Samsara Environment</h3>
     <ul>
-      <li>Spark and H2O back end Bindings</li>
       <li>Distributed BLAS optimizer</li>
-      <li>R-Like operators, e.g. A.t %*% A, which performs an optimized 
‘thin’ A’A</li>
-      <li>Linear algebra operations, multiply, transpose, slice, row and 
column iterators</li>
-      <li>Packaged as extensions to Scala</li>
-      <li>Includes a Scala REPL based interactive shell that runs on Spark</li>
+      <li>R-Like operators</li>
+      <li>Linear algebra operations</li>
+      <li>Ops are extensions to Scala</li>
+      <li>IScala REPL based interactive shell</li>
       <li>Integrates with compatible libraries like MLLib</li>
-      <li>A vibrant community</li>
+      <li>Run on distributed Spark</li>
+      <li>H2O in progress</li>
     </ul>
     <h6>Mahout Samsara based Algorithms</h6>
     <ul>
-      <li>Distributed and in-core Stochastic Singular Value Decomposition 
(SSVD)</li>
+      <li>Stochastic Singular Value Decomposition (SSVD)</li>
       <li>Distributed Principal Component Analysis (PCA)</li>
-      <li>Distributed and in-core QR Reduction (QR)</li>
+      <li>Distributed Cholesky QR Reduction (QR)</li>
       <li>Distributed Alternating Least Squares (ALS) method</li>
-      <li>Collaborative Filtering: Item and Row Similarity based on 
co-occurrence and supporting multimodal user actions</li>
+      <li>Collaborative Filtering: Item and Row Similarity</li>
       <li>Naive Bayes Classification</li>
+      <li>Distributed and in-core</li>
     </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>
-  <h4><strong>11 April 2015 - Apache Mahout's next generation version 0.10.0 
released</strong></h4>
+  <h4><strong>11 Apr 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. 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><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.</p>
-  <p><strong>Scalable to support your business case</strong>. Mahout is 
distributed under a commercially friendly Apache Software
-    license.</p>
-  <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>Interested in helping? Join the <a 
href="https://mahout.apache.org/general/mailing-lists,-irc-and-archives.html";>Mailing
 lists</a>.</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>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>Visit our <a 
href="http://mahout.apache.org/general/release-notes.html";>release notes</a> 
page for details.</p>
+<p>Visit our <a 
href="http://svn.apache.org/viewvc/mahout/trunk/CHANGELOG?view=markup&amp;pathrev=1563661";>release
 notes</a> page for details.</p>
 <h4 id="25-july-2013-apache-mahout-08-released">25 July 2013 - Apache Mahout 
0.8 released</h4>
 <p>Visit our <a 
href="http://mahout.apache.org/general/release-notes.html";>release notes</a> 
page for details.</p>
 <h4 id="16-june-2012-apache-mahout-07-released">16 June 2012 - Apache Mahout 
0.7 released</h4>


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