mahout-dev mailing list archives

Site index · List index
Message view « Date » · « Thread »
Top « Date » · « Thread »
From "Ted Dunning (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (MAHOUT-525) Implement LatentFactorLogLinear models
Date Wed, 04 May 2011 16:20:03 GMT

    [ 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.

--
This message is automatically generated by JIRA.
For more information on JIRA, see: http://www.atlassian.com/software/jira

Mime
View raw message