Hector,

You are working on a variety of things here that have interdependencies.

What would you think about a github repo where you can keep track of them
with multiple branches and we can all avoid problems with patches not
applying.

If you like, I can help out keeping your branches up to date relative to
trunk.

On Sat, May 21, 2011 at 1:54 AM, Hector Yee (JIRA) <j...@apache.org> wrote:

>
>    [
> https://issues.apache.org/jira/browse/MAHOUT-703?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13037289#comment-13037289]
>
> Hector Yee commented on MAHOUT-703:
> -----------------------------------
>
> Note: This patch requires 702 for the OnlineBaseTest.
>
> > 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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