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https://issues.apache.org/jira/browse/MAHOUT-703?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Sean Owen updated MAHOUT-703:
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Resolution: Fixed
Assignee: Ted Dunning
Status: Resolved (was: Patch Available)
> 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
> Assignee: Ted Dunning
> 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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