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

[pat]

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.
-