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Posted to dev@mahout.apache.org by "Sean Owen (JIRA)" <ji...@apache.org> on 2011/05/04 14:15:03 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 ]
Sean Owen updated MAHOUT-525:
-----------------------------
Affects Version/s: 0.5
0.4
Fix Version/s: (was: 0.5)
0.6
May I be so bold as to move to 0.6? There's no movement since we began the call to converge on 0.5 and it's not obviously on the cusp of resolution.
> 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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