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https://issues.apache.org/jira/browse/MAHOUT-228?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Jake Mannix updated MAHOUT-228:
-------------------------------
Attachment: MAHOUT-228.patch
*bump*
I think this is now the third time I'd brought this patch up-to-date.
Compiles, but internal tests don't pass. Not sure why, as I haven't dug into
them too deeply.
Ted, or anyone else with a desire to get Vowpal-Wabbit-style awesomeness in
Mahout, want to take this patch for a spin and see what is up with it?
Or if you, Ted, don't have time to finish it yourself, could you at least check
this patch out, and document a little about what the rest of us need to do to
get this up running (and verified as working)?
> Need sequential logistic regression implementation using SGD techniques
> -----------------------------------------------------------------------
>
> Key: MAHOUT-228
> URL: https://issues.apache.org/jira/browse/MAHOUT-228
> Project: Mahout
> Issue Type: New Feature
> Components: Classification
> Reporter: Ted Dunning
> Fix For: 0.4
>
> Attachments: logP.csv, MAHOUT-228-3.patch, MAHOUT-228.patch, r.csv,
> sgd-derivation.pdf, sgd-derivation.tex, sgd.csv
>
>
> Stochastic gradient descent (SGD) is often fast enough for highly scalable
> learning (see Vowpal Wabbit, http://hunch.net/~vw/).
> I often need to have a logistic regression in Java as well, so that is a
> reasonable place to start.
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