[
https://issues.apache.org/jira/browse/MAHOUT-228?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12878115#action_12878115
]
Hudson commented on MAHOUT-228:
-------------------------------
Integrated in Mahout-Quality #70 (See
[http://hudson.zones.apache.org/hudson/job/Mahout-Quality/70/])
MAHOUT-228 - test case for recent bug
> 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,
> MAHOUT-228.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.
--
This message is automatically generated by JIRA.
-
You can reply to this email to add a comment to the issue online.
