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Frank McQuillan updated MADLIB-1135: ------------------------------------ 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 in order of priority: * dynamic structs * other algos (e.g., resilient backpropagation) * multiple loss functions was: 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 in order of priority: * mini-batching * momentum * dynamic structs * other algos (e.g., resilient backpropagation) * multiple loss functions > 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 > Priority: Major > 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 in order of priority: > * dynamic structs > * other algos (e.g., resilient backpropagation) > * multiple loss functions -- This message was sent by Atlassian JIRA (v7.6.3#76005)