The Apache Software Foundation
Apache Mahout 0.2 has been released and is now available for public download at http://www.apache.org/dyn/closer.cgi/lucene/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
Scale in terms of computation to the
size of data you manage today. 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.
Built on top of the powerful map/reduce paradigm of the Apache Hadoop project, Mahout's goal is to solve popular machine learning problems like clustering, collaborative filtering and classification over extremely large data sets over thousands of computers.
Up to date maven artifacts can be found in the Apache repository at
https://repository.apache.org/content/repositories/releases/org/apache/mahout/
The complete changelist can be found here:
http://issues.apache.org/jira/browse/MAHOUT/fixforversion/12313278
New Mahout 0.2 features include
- New: Latent Dirichlet Allocation(LDA) implementation for topic modelling
- New: Frequent Itemset Mining for mining top-k patterns from a list of transactions
- New: Decision Forests implementation for Decision Tree classification (In Memory & Partial Data)
- New: HBase storage support for Naive Bayes model building and classification
- New: Generation of vectors from Text documents for use with Mahout Algorithms
- Performance improvements in various Vector implementations
- Tons of bug fixes and code cleanup
Getting started: New to Mahout?
1) Download Mahout at http://www.apache.org/dyn/closer.cgi/lucene/mahout
2) Check out the Quick start: http://cwiki.apache.org/MAHOUT/quickstart.html
3) Read the Mahout Wiki: http://cwiki.apache.org/MAHOUT
4) Join the community by subscribing to mahout-user@lucene.apache.org
5) Give back: http://www.apache.org/foundation/getinvolved.html (optional, but much appreciated!)
6) 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