You are viewing a plain text version of this content. The canonical link for it is here.
Posted to dev@mahout.apache.org by "Ted Dunning (JIRA)" <ji...@apache.org> on 2010/10/14 19:16:33 UTC
[jira] Commented: (MAHOUT-525) Implement LatentFactorLogLinear
models
[ https://issues.apache.org/jira/browse/MAHOUT-525?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12921027#action_12921027 ]
Ted Dunning commented on MAHOUT-525:
------------------------------------
See http://github.com/tdunning/LatentFactorLogLinear for work in progress
> Implement LatentFactorLogLinear models
> --------------------------------------
>
> Key: MAHOUT-525
> URL: https://issues.apache.org/jira/browse/MAHOUT-525
> Project: Mahout
> Issue Type: New Feature
> Reporter: Ted Dunning
>
> 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.
-
You can reply to this email to add a comment to the issue online.