Apache Mahout has reached version 0.6. All developers are encouraged to begin using version 0.6, as much has changed and will continue to do so as we march inexorably toward a 1.0 release. Highlights of 0.6 include:
-Improved Decision Tree performance and added support for regression problems -New LDA implementation using Collapsed Variational Bayes 0th Derivative Approximation -Reduced runtime of LanczosSolver tests -K-Trusses, Top-Down and Bottom-Up clustering, Random Walk with Restarts implementation -Reduced runtime of dot product between vectors -Added MongoDB and Cassandra DataModel support -Increased efficiency of parallel ALS matrix factorization -SSVD enhancements -Performance improvements in RowSimilarityJob, TransposeJob -Added numerous clustering display examples -Many bug fixes, refactorings, and other small improvements Changes in 0.6 are detailed in the release notes ( https://issues.apache.org/jira/secure/ReleaseNote.jspa?projectId=12310751&version=12316364). Downloads of all releases available from Apache mirrors. ( http://www.apache.org/dyn/closer.cgi/mahout/ ) Enjoy! Regards, Shannon
