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
