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https://issues.apache.org/jira/browse/MADLIB-1134?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Frank McQuillan updated MADLIB-1134:
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Description:
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
* multiple loss functions
* normalize inputs
* L2 regularization
was:
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
* multiple loss functions
* normalize inputs
* L2 regularization
> 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
> * multiple loss functions
> * normalize inputs
> * L2 regularization
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