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Posted to commits@mahout.apache.org by pa...@apache.org on 2015/04/12 18:57:25 UTC

svn commit: r1673030 - /mahout/site/mahout_cms/trunk/content/index.mdtext

Author: pat
Date: Sun Apr 12 16:57:25 2015
New Revision: 1673030

URL: http://svn.apache.org/r1673030
Log:
CMS commit to mahout by pat

Modified:
    mahout/site/mahout_cms/trunk/content/index.mdtext

Modified: mahout/site/mahout_cms/trunk/content/index.mdtext
URL: http://svn.apache.org/viewvc/mahout/site/mahout_cms/trunk/content/index.mdtext?rev=1673030&r1=1673029&r2=1673030&view=diff
==============================================================================
--- mahout/site/mahout_cms/trunk/content/index.mdtext (original)
+++ mahout/site/mahout_cms/trunk/content/index.mdtext Sun Apr 12 16:57:25 2015
@@ -3,50 +3,45 @@
 </h2>
   <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>**11 April 2015 - Apache Mahout's next generation version 0.10.0 released**</h4>
+  <h4>**11 Apr 2015 - Apache Mahout's next generation version 0.10.0 released**</h4>
   <p>**Apache Mahout introduces a new math** [**environment we call Samsara**](http://mahout.apache.org/users/sparkbindings/home.html), 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>[**Mahout Algorithms**](http://mahout.apache.org/users/basics/algorithms.html) 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>[**Mahout Algorithms**](http://mahout.apache.org/users/basics/algorithms.html) 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>**Mahout MapReduce** includes the best of Hadoop MapReduce algorithms from Mahout v 0.9 but now with dependency updates and full Hadoop 2 support.</p>
 
-  <h4>By scalable we mean:</h4>
-  <p>**Scalable to large data sets**. Our [core algorithms](http://mahout.apache.org/users/basics/algorithms.html) for clustering, classfication and collaborative filtering are implemented on top of scalable, distributed systems.</p>
-  <p>**Scalable to support your business case**. Mahout is distributed under a commercially friendly Apache Software
-    license.</p>
-  <p>**Scalable community**. 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>
 
 # Mahout News
 
 #### 1 February 2014 - Apache Mahout 0.9 released
 
-Visit our [release notes](http://mahout.apache.org/general/release-notes.html) page for details.
+Visit our [release notes](http://svn.apache.org/viewvc/mahout/trunk/CHANGELOG?view=markup&pathrev=1563661) page for details.
+
+
 
 ####25 July 2013 - Apache Mahout 0.8 released
 
@@ -65,4 +60,3 @@ Visit our [release notes](http://mahout.
 The book Mahout in Action is available in print. Sean Owen, Robin Anil, Ted Dunning and Ellen Friedman thank the community (especially those who were reviewers) for input during the process and hope it is enjoyable.
 
 Find it at your favorite bookstore, or [order print and eBook copies from Manning](http://manning.com/owen/) -- use discount code "mahout37" for 37% off.
-