> > 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-u...@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