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https://issues.apache.org/jira/browse/MAHOUT-703?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13044406#comment-13044406
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Hudson commented on MAHOUT-703:
-------------------------------
Integrated in Mahout-Quality #861 (See
[https://builds.apache.org/hudson/job/Mahout-Quality/861/])
MAHOUT-703 implement Gradient machine classifier
srowen : http://svn.apache.org/viewcvs.cgi/?root=Apache-SVN&view=rev&rev=1131481
Files :
*
/mahout/trunk/core/src/main/java/org/apache/mahout/classifier/sgd/GradientMachine.java
*
/mahout/trunk/core/src/test/java/org/apache/mahout/classifier/sgd/GradientMachineTest.java
*
/mahout/trunk/math/src/main/java/org/apache/mahout/math/function/Functions.java
> 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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