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From "Ted Dunning (JIRA)" <j...@apache.org>
Subject [jira] Commented: (MAHOUT-228) Need sequential logistic regression implementation using SGD techniques
Date Tue, 29 Dec 2009 20:29:29 GMT

    [ https://issues.apache.org/jira/browse/MAHOUT-228?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12795138#action_12795138
] 

Ted Dunning commented on MAHOUT-228:
------------------------------------


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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