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 19:40:32 UTC
[jira] Updated: (MAHOUT-525) Implement LatentFactorLogLinear models
[ https://issues.apache.org/jira/browse/MAHOUT-525?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Ted Dunning updated MAHOUT-525:
-------------------------------
Fix Version/s: 0.5
> Implement LatentFactorLogLinear models
> --------------------------------------
>
> Key: MAHOUT-525
> URL: https://issues.apache.org/jira/browse/MAHOUT-525
> Project: Mahout
> Issue Type: New Feature
> Reporter: Ted Dunning
> Fix For: 0.5
>
>
> 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.