svn commit: r947254 - in /websites/staging/mahout/trunk/content: ./ index.html

[bu...@apache.org]

Author: buildbot
Date: Sun Apr 12 00:59:23 2015
New Revision: 947254

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 00:59:23 2015
@@ -1 +1 @@
-1672955
+1672956

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 00:59:23 2015
@@ -262,7 +262,7 @@
 
 <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>
@@ -276,9 +276,9 @@
     </ul>
     <h6>Mahout Samsara based Algorithms</h6>
     <ul>
-      <li>Distributed and in-core: Stochastic Singular Value Decomposition (SSVD)</li>
+      <li>Distributed and in-core Stochastic Singular Value Decomposition (SSVD)</li>
       <li>Distributed Principal Component Analysis (PCA)</li>
-      <li>Distributed Cholesky QR Reduction (QR)</li>
+      <li>Distributed and in-core 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>Naive Bayes Classification</li>
@@ -287,10 +287,10 @@
   <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 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><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. However, contributions that run on a single machine are welcome as well.</p>
+  <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