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https://issues.apache.org/jira/browse/MAHOUT-228?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12795138#action_12795138
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Ted Dunning commented on MAHOUT-228:
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This is the time. The MurmurHash and Randomizer classes both seem ripe for
promotion to other packages.
What I will do is file some additional JIRA's that include just those classes
(one JIRA for Murmur, one for Randomizer/Vectorizer). Those patches will
probably make it in before this one does because they are simpler. At that
point, I will rework the patch on this JIRA to not include those classes.
Where would you recommend these others go?
> 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: 0.3
>
> Attachments: logP.csv, MAHOUT-228-3.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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