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https://issues.apache.org/jira/browse/MADLIB-1135?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Frank McQuillan updated MADLIB-1135:
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Description:
Follow on from https://issues.apache.org/jira/browse/MADLIB-413 and
https://issues.apache.org/jira/browse/MADLIB-1134
Story
As a MADlib developer, I want to get 3nd phase implementation of NN going with
training and prediction functions, so that I can have a more advanced and
performant version of NN
Features to add:
* other algos (e.g., resilient backpropagation)
* momentum
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 3
> -------------------------------
>
> Key: MADLIB-1135
> URL: https://issues.apache.org/jira/browse/MADLIB-1135
> Project: Apache MADlib
> Issue Type: Improvement
> Components: Module: Neural Networks
> Reporter: Frank McQuillan
> Fix For: v2.0
>
>
> Follow on from https://issues.apache.org/jira/browse/MADLIB-413 and
> https://issues.apache.org/jira/browse/MADLIB-1134
> Story
> As a MADlib developer, I want to get 3nd phase implementation of NN going
> with training and prediction functions, so that I can have a more advanced
> and performant version of NN
> Features to add:
> * other algos (e.g., resilient backpropagation)
> * momentum
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