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From "Sean Owen (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (MAHOUT-525) Implement LatentFactorLogLinear models
Date Wed, 04 May 2011 12:15:03 GMT

     [ 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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