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Date: Wed, 4 May 2011 16:20:03 +0000 (UTC)
From: "Ted Dunning (JIRA)" <jira@apache.org>
To: dev@mahout.apache.org
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 <93257182.21956.1304526003508.JavaMail.tomcat@hel.zones.apache.org>
Subject: [jira] [Commented] (MAHOUT-525) Implement LatentFactorLogLinear
 models
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    [ https://issues.apache.org/jira/browse/MAHOUT-525?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13028808#comment-13028808 ] 

Ted Dunning commented on MAHOUT-525:
------------------------------------

Please, lets move to 0.6 on this.

There has been some motion, but mostly just cherry picking out bits of this work into other topics.

> Implement LatentFactorLogLinear models
> --------------------------------------
>
>                 Key: MAHOUT-525
>                 URL: https://issues.apache.org/jira/browse/MAHOUT-525
>             Project: Mahout
>          Issue Type: New Feature
>    Affects Versions: 0.4, 0.5
>            Reporter: Ted Dunning
>             Fix For: 0.6
>
>
> The approach is based on the paper http://arxiv.org/abs/1006.2156
> For integration into Mahout, the idea would be to build an OnlineLearner that accept feature vectors where the first two elements are assumed to be the row
> and column id's.  The learning will proceed by stochastic gradient descent.

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