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From "Jake Mannix (JIRA)" <j...@apache.org>
Subject [jira] Updated: (MAHOUT-228) Need sequential logistic regression implementation using SGD techniques
Date Mon, 08 Feb 2010 18:31:30 GMT

     [ https://issues.apache.org/jira/browse/MAHOUT-228?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Jake Mannix updated MAHOUT-228:
-------------------------------

    Fix Version/s:     (was: 0.3)
                   0.4

Pushing out to 0.4 based on Olivier's comments on mahout-dev

> 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, 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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