Author: buildbot
Date: Sun Apr 12 17:21:25 2015
New Revision: 947320
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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Modified: websites/staging/mahout/trunk/content/index.html
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--- websites/staging/mahout/trunk/content/index.html (original)
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<p><strong>Apache Mahout introduces a new math environment we call</strong>
<a
href="http://mahout.apache.org/users/sparkbindings/home.html";><strong>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. Itâs written in Scala
with Mahout-specific extensions that look something like R,
- and runs most fully on Spark. Mahout-Samsara comes with an interactive
shell that runs distributed operations on a Spark cluster.
- This make prototyping or task submission much easier than before and allows
users to customize algorithms with
- a whole ne degree of freedom.</p></p>
+ some off-the-shelf algorithm implementations. At its core are general
linear algebra and statistical operations
+ along with the data structures to support them. You can use is as a library
or customize it in Scala with Mahout-specific extensions
+ that look something like R.
+ Mahout-Samsara comes with an interactive shell that runs distributed
operations on a Spark cluster.
+ This make prototyping or task submission much easier and allows users to
customize algorithms with
+ a whole new degree of freedom.</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. Youâll find robust matrix decomposition
algorithms as well as a <strong><a
href="http://mahout.apache.org/users/algorithms/spark-naive-bayes.html";>Naive
Bayes</a></strong>
