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 - Major performance enhancements in Collaborative Filtering, Classification and Clustering - 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 firstname.lastname@example.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/mahoutFor those wanting to read more, check out my IBM developerWorks article on Apache Mahout, as well.
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