Apache Mahout 0.3 has been released. Apache Mahout is a project which attempts to make machine learning both scalable and accessible. It is a sub-project of the excellent Apache Lucene project which provides open source search software.

From the project website:

The Apache Lucene project is pleased to announce the release of Apache Mahout 0.3. Highlights 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 (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

Details on what’s included can be found in the release notes. Downloads are available from the Apache Mirrors

Congratulations and thanks to all Mahout developers!