You are viewing a plain text version of this content. The canonical link for it is here.
Posted to announce@apache.org by Robin Anil <ro...@apache.org> on 2010/03/18 08:37:05 UTC
[ANNOUNCE] Apache Mahout 0.3 Released
>
> Apache Mahout <http://lucene.apache.org/mahout> 0.3 has been released and
is now available for public
> download at http://www.apache.org/dyn/closer.cgi/lucene/mahout
>
Up-to-date maven artifacts can be found in the Apache repository at
>
https://repository.apache.org/content/repositories/releases/org/apache/mahout/
>
Apache Mahout is a subproject of Apache Lucene with the goal of
> delivering scalable machine learning algorithm implementations under
> the Apache license. http://www.apache.org/licenses/LICENSE-2.0
>
Mahout is a machine learning library meant to scale: Scale in terms of
> community to support anyone interested in using machine learning.
> Scale in terms of business by providing the library under a
> commercially friendly, free software license. Scale in terms of
> computation to the size of data we manage today.
>
Built on top of the powerful map/reduce paradigm of the Apache Hadoop
> project, Mahout lets you solve popular machine learning problem
> settings like clustering, collaborative filtering and classification
> over Terabytes of data over thousands of computers.
>
Implemented with scalability in mind the latest release brings many
> performance optimizations so that even in a single node setup the
> library performs well.
>
The complete changelist can be found here:
>
http://issues.apache.org/jira/browse/MAHOUT/fixforversion/12314281
>
New Mahout 0.3 features include:
>
* New math and collections modules based on the high performance Colt
library.
> * Faster Frequent Pattern Growth (FPGrowth) using FP-bonsai pruning
> * Parallel Dirichlet process clustering (a model-based clustering
algorithm)
> * Parallel co-occurrence based recommender
> * Parallel text document to vector conversion using LLR based ngram
generation
> * Parallel Lanczos SVD (Singular Value Decomposition) solver
> * Shell scripts for easier running of algorithms, utilities and examples
> * ...and much much more: code cleanup, many bug fixes and
> performance improvements
>
Getting started: New to Mahout?
>
* Download Mahout at http://www.apache.org/dyn/closer.cgi/lucene/mahout
> * Check out the Quick start: http://cwiki.apache.org/MAHOUT
> * Read the Mahout Wiki: http://cwiki.apache.org/MAHOUT
> * Join the community by subscribing to mahout-user@lucene.apache.org
> * Give back: http://www.apache.org/foundation/getinvolved.html
> * Consider adding yourself to the power by Wiki
> page:http://cwiki.apache.org/MAHOUT/poweredby.html
>
For more information on Apache Mahout, see http://lucene.apache.org/mahout