[jira] [Updated] (MAHOUT-703) Implement Gradient machine

["Ted Dunning (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/MAHOUT-703?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Ted Dunning updated MAHOUT-703:
-------------------------------

    Fix Version/s: 0.6

> Implement Gradient machine
> --------------------------
>
>                 Key: MAHOUT-703
>                 URL: https://issues.apache.org/jira/browse/MAHOUT-703
>             Project: Mahout
>          Issue Type: New Feature
>          Components: Classification
>    Affects Versions: 0.6
>            Reporter: Hector Yee
>            Priority: Minor
>              Labels: features
>             Fix For: 0.6
>
>   Original Estimate: 72h
>  Remaining Estimate: 72h
>
> Implement a gradient machine (aka 'neural network) that can be used for classification or auto-encoding.
> It will just have an input layer, identity, sigmoid or tanh hidden layer and an output layer.
> Training done by stochastic gradient descent (possibly mini-batch later).
> Sparsity will be optionally enforced by tweaking the bias in the hidden unit.
> For now it will go in classifier/sgd and the auto-encoder will wrap it in the filter unit later on.

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