For stochastic SVD, i have a tex-ified help document here. http://weatheringthrutechdays.blogspot.com/2011/03/ssvd-command-line-usage.html. let me know if it doesn't open/save.
if we had mathjax setup on wiki, i probably could drop a little bit more details there. -d On Thu, Jun 2, 2011 at 2:23 AM, Dan Brickley <[email protected]> wrote: > 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 >
