not sure about numerical stability with 100% streaming though.

On Tue, Oct 26, 2010 at 12:22 PM, Dmitriy Lyubimov <[email protected]>wrote:

> Just an update.
>
> I am still working out a version that would do 100% mapreduce version of Q
> orhonormalization . I think i made some progress with the prototype, and
> basically there seems also to be a way to drastically cut on the output of
> the first map reduce (i.e. reduce amount of partial B^t outer products)
> depending on how much one wants to compromise the stochastic effect produced
> by Y. The algorithm also significantly simplifies the orthogonolization
> process by basically getting rid of Y-blocking entirely inside the same
> mapper (i.e. it's 100% streaming, 1 Q-block per mapper with memory
> requirements still constant to size of a row of A).
>
> It's slow due to my family situtation (i had just several hours to work on
> non-mr prototype so far, which passed Q orthogonality test, everything else
> is just a thought experiment)
>
>
> On Sun, Oct 24, 2010 at 12:11 AM, Ted Dunning (JIRA) <[email protected]>wrote:
>
>>
>>     [
>> https://issues.apache.org/jira/browse/MAHOUT-376?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel]
>>
>> Ted Dunning updated MAHOUT-376:
>> -------------------------------
>>
>>    Attachment: sd.tex
>>                sd.pdf
>>
>> Updated version.
>>
>> I think that this is actually a feasible algorithm.
>>
>> > 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, Modified stochastic svd algorithm
>> for mapreduce.pdf, sd-bib.bib, sd.pdf, sd.pdf, sd.pdf, sd.pdf, sd.tex,
>> sd.tex, sd.tex, sd.tex, Stochastic SVD using eigensolver trick.pdf
>> >
>> >
>> > See attached pdf for outline of proposed method.
>> > All comments are welcome.
>>
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>

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