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https://issues.apache.org/jira/browse/MADLIB-1134?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16116970#comment-16116970
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ASF GitHub Bot commented on MADLIB-1134:
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GitHub user cooper-sloan opened a pull request:
https://github.com/apache/incubator-madlib/pull/162
MLP: Multilayer Perceptron Phase 2
JIRA: MADLIB-1134
Weights, warm start, n_tries,
regularization, learning rate policy,
standardization and tests.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/cooper-sloan/incubator-madlib mlp_phase2
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/incubator-madlib/pull/162.patch
To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:
This closes #162
----
commit 0d008d9995b1ffb5b35271318b878b396375456a
Author: Cooper Sloan <[email protected]>
Date: 2017-06-17T00:41:07Z
MLP: Multilayer Perceptron Phase 2
JIRA: MADLIB-1134
Weights, warm start, n_tries,
regularization, learning rate policy,
standardization and tests.
----
> 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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