Implement Gradient machine
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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
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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