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Posted to issues@madlib.apache.org by "Nandish Jayaram (JIRA)" <ji...@apache.org> on 2018/03/23 20:25:00 UTC

[jira] [Updated] (MADLIB-1222) Support already encoded arrays for dependent var in MLP classification

     [ https://issues.apache.org/jira/browse/MADLIB-1222?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Nandish Jayaram updated MADLIB-1222:
------------------------------------
    Summary: Support already encoded arrays for dependent var in MLP classification  (was: Support already encoded arrays for dependent var in classification)

> 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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