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Posted to commits@mahout.apache.org by bu...@apache.org on 2015/06/01 18:51:24 UTC
svn commit: r953447 - in /websites/staging/mahout/trunk/content: ./
general/release-notes.html
Author: buildbot
Date: Mon Jun 1 16:51:24 2015
New Revision: 953447
Log:
Staging update by buildbot for mahout
Modified:
websites/staging/mahout/trunk/content/ (props changed)
websites/staging/mahout/trunk/content/general/release-notes.html
Propchange: websites/staging/mahout/trunk/content/
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--- cms:source-revision (original)
+++ cms:source-revision Mon Jun 1 16:51:24 2015
@@ -1 +1 @@
-1682808
+1682951
Modified: websites/staging/mahout/trunk/content/general/release-notes.html
==============================================================================
--- websites/staging/mahout/trunk/content/general/release-notes.html (original)
+++ websites/staging/mahout/trunk/content/general/release-notes.html Mon Jun 1 16:51:24 2015
@@ -263,7 +263,44 @@
<div id="content-wrap" class="clearfix">
<div id="main">
<h1 id="release-notes">Release Notes</h1>
-<h4 id="1-february-2014-apache-mahout-09-releasedwzxhzdk0">1 February 2014 - Apache Mahout 0.9 released</h2></h4>
+<h4 id="31-may-2015-apache-mahout-0101-released">31 May 2015 - Apache Mahout 0.10.1 released</h4>
+<p>Highlights include:</p>
+<ul>
+<li>Major memory use improvements in cooccurrence analysis including the spark-itemsimilarity driver <a href="https://issues.apache.org/jira/browse/MAHOUT-1707">MAHOUT-1707</a></li>
+<li>Support for Spark version 1.2.2 or less.</li>
+<li>Some minor fixes to Mahout-Samsara QR Decomposition and matrix ops.</li>
+<li>Trim down packages size to < 200MB MAHOUT-1704 and MAHOUT-1706</li>
+<li>Minor testing indicates binary compatibility with Spark 1.3 with the exception of the Mahout Shell.</li>
+</ul>
+<h4 id="11-april-2015-apache-mahout-0100-released">11 April 2015 - Apache Mahout 0.10.0 released</h4>
+<p>Mahout 0.10.0 was a major release, which separates out a ML environment (we call Mahout-Samsara) including an
+extended version of Scala that is largely backend independent but runs fully on Spark. The Hadoop MapReduce versions of
+Mahout algorithms are still maintained but no new MapReduce contributions are accepted. From this release onwards
+contributions must be Mahout Samsara based or at least run on Spark. </p>
+<p>Highlights include:</p>
+<p>New Mahout Samsara Environment</p>
+<ul>
+<li>Distributed Algebraic optimizer</li>
+<li>R-Like DSL Scala API</li>
+<li>Linear algebra operations</li>
+<li>Ops are extensions to Scala</li>
+<li>Scala REPL based interactive shell running on Spark</li>
+<li>Integrates with compatible libraries like MLlib</li>
+<li>Run on distributed Spark</li>
+<li>H2O in progress</li>
+</ul>
+<p>New Mahout Samsara based Algorithms</p>
+<ul>
+<li>Stochastic Singular Value Decomposition (ssvd, dssvd)</li>
+<li>Stochastic Principal Component Analysis (spca, dspca)</li>
+<li>Distributed Cholesky QR (thinQR)</li>
+<li>Distributed regularized Alternating Least Squares (dals)</li>
+<li>Collaborative Filtering: Item and Row Similarity</li>
+<li>Naive Bayes Classification</li>
+<li>Distributed and in-core</li>
+</ul>
+<p>Changes in 0.10.0 are detailed <a href="https://github.com/apache/mahout/blob/mahout-0.10.0/CHANGELOG">here</a></p>
+<h4 id="1-february-2014-apache-mahout-09-released">1 February 2014 - Apache Mahout 0.9 released</h4>
<p><p>Highlights include:</p></p>
<p><ul>
<li>New and improved Mahout website based on Apache CMS - <a href="https://issues.apache.org/jira/browse/MAHOUT-1245">MAHOUT-1245</a></li>
@@ -277,7 +314,7 @@
<li>Upgrade to Lucene 4.6.1 - <a href="https://issues.apache.org/jira/browse/MAHOUT-1364">MAHOUT-1364</a></li>
</ul></p>
<p><p>Changes in 0.9 are detailed <a href="http://svn.apache.org/viewvc/mahout/trunk/CHANGELOG?view=markup&pathrev=1563661">here</a>.</p></p>
-<h4 id="25-july-2013-apache-mahout-08-releasedwzxhzdk50">25 July 2013 - Apache Mahout 0.8 released</h2></h4>
+<h4 id="25-july-2013-apache-mahout-08-released">25 July 2013 - Apache Mahout 0.8 released</h4>
<p><p>Highlights include:</p></p>
<p><ul>
<li>Numerous performance improvements to Vector and Matrix implementations, API's and their iterators</li>