On Sat, Jun 16, 2012 at 3:44 AM, Paritosh Ranjan <[email protected]> wrote: > Apache Mahout has reached version 0.7. All developers are encouraged to begin > using version 0.7. Highlights include: > > -Outlier removal capability in K-Means, Fuzzy K, Canopy and Dirichlet > Clustering > -New Clustering implementation for K-Means, Fuzzy K, Canopy and Dirichlet > using Cluster Classifiers > -Collections and Math api consolidated > -(Complementary) Naive Bayes refactored and cleaned > -Watchmaker and Old Naive Bayes dropped. > -Many bug fixes, refactorings, and other small improvements > > Changes in 0.7 are detailed in the release > notes<https://issues.apache.org/jira/secure/ReleaseNote.jspa?projectId=12310751&version=12319261>. > Downloads of all releases available from Apache > mirrors<http://www.apache.org/dyn/closer.cgi/mahout/>.
Great stuff! Perhaps also of interest is that Mahout 0.7 is now compatible with Hadoop 2.X. Thanks, Roman.
