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/
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--- 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
âthinâ AâA</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. Itâs 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. Youâll 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. Youâll 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&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>