svn commit: r1672940 - /mahout/site/mahout_cms/trunk/content/index.mdtext

[ap...@apache.org]

Author: apalumbo
Date: Sat Apr 11 22:21:10 2015
New Revision: 1672940

URL: http://svn.apache.org/r1672940
Log:
updated index.html featur list for Mahout v0.10.0

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=1672940&r1=1672939&r2=1672940&view=diff
==============================================================================
--- mahout/site/mahout_cms/trunk/content/index.mdtext (original)
+++ mahout/site/mahout_cms/trunk/content/index.mdtext Sat Apr 11 22:21:10 2015
@@ -2,19 +2,27 @@
 <h2>The Apache Mahout™ project's goal is to build a scalable machine learning library.</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 0.9 has</h4>
+    <h4>Latest release version 0.10.0 has</h4>
+    <h6>Mahout Samsara Environment</h3>
     <ul>
-      <li>User and Item based recommenders</li>
-      <li>Matrix factorization based recommenders</li>
-      <li>K-Means, Fuzzy K-Means clustering</li>
-      <li>Latent Dirichlet Allocation</li>
-      <li>Singular Value Decomposition</li>
-      <li>Logistic regression classifier</li>
-      <li>(Complementary) Naive Bayes classifier</li>
-      <li>Random forest classifier</li>
-      <li>High performance java collections</li>
+      <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>Integrates with compatible libraries like MLLib</li>
       <li>A vibrant community</li>
     </ul>
+    <h6>Mahout Samsara based Algorithms</h6>
+    <ul>
+      <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 Alternating Least Squares decomposition (ALS)</li>
+      <li>Collaborative Filtering: Item and Row Similarity based on cooccurrence and supporting multimodal user actions</li>
+      <li>Naive Bayes Classification</li>
+    </ul>
   </div>
   <p>With scalable we mean:</p>
   <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. However, contributions that run on a single machine are welcome as well.</p>