Nice work dima!

Can you write a paragraph showing just what your current intended algorithm.  I 
can run a few checks in r. 

Sent from my iPhone

On Oct 10, 2010, at 9:53 AM, "Dmitriy Lyubimov (JIRA)" <[email protected]> wrote:

> 
>    [ 
> https://issues.apache.org/jira/browse/MAHOUT-376?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12919567#action_12919567
>  ] 
> 
> Dmitriy Lyubimov edited comment on MAHOUT-376 at 10/10/10 12:52 PM:
> --------------------------------------------------------------------
> 
> ok, i got to BBt normalized for rank deficiences in Q blocks. 
> 
> What eigensolver should i use in context of Mahout? I know there's something 
> in that Cern library but it is all deprecateed. There's also a solver in 
> apache commons, but it is not readily imported into the mahout core.
> 
> Thanks.
> 
> PS. 
> 
> so i got to singular values now. I run a unit test so that k+p=n.  When i 
> parameterize algorithm so that only one Q-block is produced , the eigenvalues 
> match the stock result at least as good as 10E-5.  Which is expected under 
> the circumstances. however as soon as i increase number of Q-blocks >1, the 
> singular values go astray as much as 10%. Not good. In both cases, the entire 
> Q passes the orthonormality test. I guess it means that as i thought before, 
> doing block orthonormalization this way does result in a subspace different 
> from original span by Y.I need to research on doing orthonormalization with 
> blocks.  I think that's the only showstopper here that is still left. It may 
> result in a rewrite that splits one job producing both Q and Bt, into several 
> though.
> 
>      was (Author: dlyubimov2):
>    ok, i got to BBt normalized for rank deficiences in Q blocks. 
> 
> What eigensolver should i use in context of Mahout? I know there's something 
> in that Cern library but it is all deprecateed. There's also a solver in 
> apache commons, but it is not readily imported into the mahout core.
> 
> Thanks.
> 
> PS. i tried EigenvalueDecomposition from cern library. I know i am quite 
> likely providing an ill-conditioned matrix in my unit test but strange thing 
> is that eigen values are not always in descending order. i thought they were 
> supposed to come out in descending order?
> 
>> Implement Map-reduce version of stochastic SVD
>> ----------------------------------------------
>> 
>>                Key: MAHOUT-376
>>                URL: https://issues.apache.org/jira/browse/MAHOUT-376
>>            Project: Mahout
>>         Issue Type: Improvement
>>         Components: Math
>>           Reporter: Ted Dunning
>>           Assignee: Ted Dunning
>>            Fix For: 0.5
>> 
>>        Attachments: MAHOUT-376.patch, sd-bib.bib, sd.pdf, sd.tex, Stochastic 
>> SVD using eigensolver trick.pdf
>> 
>> 
>> See attached pdf for outline of proposed method.
>> All comments are welcome.
> 
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