On 2 June 2011 09:25, Sean Owen <[email protected]> wrote: > Apache Mahout has reached version 0.5. All developers are encouraged to > begin using version 0.5, as again much has changed and been fixed since > version 0.4. Many APIs have been changed, added or removed, and will > continue before version 1.0. Highlights of version 0.5 include: > > - Improved Lanczos solver: graceful restarts, better scalability > - LDA improvements: document-topic distribution output, graceful restarts > - Stochastic Singular Value Decomposition implementation > - Incremental SVD implementation > - Alternating Least Squares with Weighted Regularization collaborative > filtering implementation, both distributed and non-distributed > - SVDRecommender enhancements > - Initial work at merging clustering and classification infrastructure > - Better control over candidate item selection in item-based recommenders > - Significant removal of deprecated or dead code > - Many bug fixes, refactorings and other small improvements > > Changes in 0.5 are detailed in the release notes ( > https://issues.apache.org/jira/secure/ReleaseNote.jspa?projectId=12315255&version=12314396 > ) > > Downloads of all releases are available from Apache Mirrors ( > http://www.apache.org/dyn/closer.cgi/mahout/).
Congratulations on shipping! Lots of hard work in there... May I ask for more already? :) It seems there are quite a few SVD-related pieces of Mahout now. Just in this list we have mentions of the Lanczos solver; Stochastic and Incremental SVD implementations; and the Taste SVDRecommender. A few words on how they all fit together would go a long way. Apologies if I've missed them. I've tried tried Lanczos via Hadoop, and SVDRecommender on a single machine, and they seem quite separate components of Mahout. But if the family of SVD-related pieces is growing, it would be great to have a summary for the Wiki: do they share APIs, command line tools, ...? https://cwiki.apache.org/MAHOUT/svd-singular-value-decomposition.html or https://cwiki.apache.org/MAHOUT/dimensional-reduction.html would be a good home. I'm happy to wikify if people follow up in this thread with the raw materials. cheers, Dan
