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From "Ted Dunning (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (MAHOUT-703) Implement Gradient machine
Date Thu, 02 Jun 2011 04:12:47 GMT

    [ https://issues.apache.org/jira/browse/MAHOUT-703?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13042598#comment-13042598
] 

Ted Dunning commented on MAHOUT-703:
------------------------------------

You can make the auto-encoder depend on this bug and just go forward.  It might even help
to drop things on github 
so that you can keep rebasing two branches.

> 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
>
>         Attachments: MAHOUT-703.patch
>
>   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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