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From Dmitriy Lyubimov <dlie...@gmail.com>
Subject Re: Apache Mahout 0.5 released
Date Fri, 03 Jun 2011 21:58:08 GMT
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 <danbri@danbri.org> wrote:
> On 2 June 2011 09:25, Sean Owen <srowen@apache.org> 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
>

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