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https://issues.apache.org/jira/browse/MAHOUT-1551?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14061011#comment-14061011
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Yexi Jiang commented on MAHOUT-1551:
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[~fschueler], you are correct, the current implementation is a simple
online/stochastic gradient descent network using back-propagation for
optimizing. The user can set the number of levels, number of neurons in each
level, and a various of parameters (such as learning rate, regularization
weight, etc.). The CLI version simplifies some parameters because basic users
do not need that many parameters.
Regards,
Yexi
> Add document to describe how to use mlp with command line
> ---------------------------------------------------------
>
> Key: MAHOUT-1551
> URL: https://issues.apache.org/jira/browse/MAHOUT-1551
> Project: Mahout
> Issue Type: Documentation
> Components: Classification, CLI, Documentation
> Affects Versions: 0.9
> Reporter: Yexi Jiang
> Labels: documentation
> Fix For: 1.0
>
> Attachments: README.md
>
>
> Add documentation about the usage of multi-layer perceptron in command line.
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