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https://issues.apache.org/jira/browse/MADLIB-1222?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16426125#comment-16426125
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ASF GitHub Bot commented on MADLIB-1222:
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Github user fmcquillan99 commented on the issue:

    https://github.com/apache/madlib/pull/250
  
    See JIRA https://issues.apache.org/jira/browse/MADLIB-1222 for examples 
showing this works for IGD and mini-batch
    
    LGTM
    
    I think u can go ahead and merge this PR to master


> Support already encoded arrays for dependent var in MLP classification
> ----------------------------------------------------------------------
>
>                 Key: MADLIB-1222
>                 URL: https://issues.apache.org/jira/browse/MADLIB-1222
>             Project: Apache MADlib
>          Issue Type: New Feature
>          Components: Module: Neural Networks
>            Reporter: Nandish Jayaram
>            Priority: Major
>             Fix For: v1.14
>
>
> MLP currently only supports scalar dependent variables for MLP 
> classification. If a user has already one-hot encoded categorical variables 
> the dependent variable will be an array, and hence unusable with 
> mlp_classification. This feature request is to allow the use of one-hot 
> encoded array for dependent vars in MLP classification.



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