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https://issues.apache.org/jira/browse/MADLIB-1134?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16105769#comment-16105769
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Cooper Sloan edited comment on MADLIB-1134 at 7/28/17 10:06 PM:
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Let's do something like this:
[https://github.com/scikit-learn/scikit-learn/blob/master/sklearn/neural_network/tests/test_mlp.py#L79
for ensuring correctness of our backprop.
was (Author: coopersloan):
Let's do something like
[https://github.com/scikit-learn/scikit-learn/blob/master/sklearn/neural_network/tests/test_mlp.py#L79](this)
for ensuring correctness of our backprop.
> Neural Networks - MLP - Phase 2
> -------------------------------
>
> Key: MADLIB-1134
> URL: https://issues.apache.org/jira/browse/MADLIB-1134
> Project: Apache MADlib
> Issue Type: Improvement
> Components: Module: Neural Networks
> Reporter: Frank McQuillan
> Assignee: Cooper Sloan
> Fix For: v1.12
>
>
> Follow on from https://issues.apache.org/jira/browse/MADLIB-413
> Story
> As a MADlib developer, I want to get 2nd phase implementation of NN going
> with training and prediction functions, so that I can use this to build to an
> MVP version for GA.
> Features to add:
> * weights for inputs
> * logic for n_tries
> * normalize inputs
> * L2 regularization
> * learning rate policy
> * warm start
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