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https://issues.apache.org/jira/browse/MAHOUT-792?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13123652#comment-13123652
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Dan Brickley commented on MAHOUT-792:
-------------------------------------
Looking to try this, I tried applying the last patch per
https://cwiki.apache.org/MAHOUT/how-to-contribute.html#HowToContribute-Applyingapatch
i.e. 'patch -p 0 -i MAHOUT-792.patch', and get a pile of 'Reversed (or
previously applied) patch detected' and a 'can't find file to patch'. Is some
but not all of this now committed?
Per "Github branch MAHOUT-792 available at
git://github.com/tdunning/mahout.git" I'm looking around
https://github.com/tdunning/mahout but there's no branch listed of that name.
Presumably https://github.com/tdunning/mahout/tree/new-stochastic is the place
to go?
> Add new stochastic decomposition code
> -------------------------------------
>
> Key: MAHOUT-792
> URL: https://issues.apache.org/jira/browse/MAHOUT-792
> Project: Mahout
> Issue Type: New Feature
> Reporter: Ted Dunning
> Attachments: MAHOUT-792.patch, MAHOUT-792.patch, sd-2.pdf
>
>
> I have figured out some simplification for our SSVD algorithms. This
> eliminates the QR decomposition and makes life easier.
> I will produce a patch that contains the following:
> - a CholeskyDecomposition implementation that does pivoting (and thus
> rank-revealing) or not. This should actually be useful for solution of large
> out-of-core least squares problems.
> - an in-memory SSVD implementation that should work for matrices up to
> about 1/3 of available memory.
> - an out-of-core SSVD threaded implementation that should work for very
> large matrices. It should take time about equal to the cost of reading the
> input matrix 4 times and will require working disk roughly equal to the size
> of the input.
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