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https://issues.apache.org/jira/browse/MADLIB-1222?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16414347#comment-16414347
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ASF GitHub Bot commented on MADLIB-1222:
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GitHub user njayaram2 opened a pull request:
https://github.com/apache/madlib/pull/250
MLP: Allow one-hot encoded dependent var for classification
JIRA:MADLIB-1222
MLP currently automatically encodes categorical variables for
classification but does not allow already encoded arrays for dependent
variables in mlp_classification. This commit lets users have an already
encoded array for the dependent variable and train a model.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/madlib/madlib
feature/mlp/support-encoded-dep-var
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/madlib/pull/250.patch
To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:
This closes #250
----
commit f5a87dee6bc8f27c1a13a4921ea726b391b1813d
Author: Nandish Jayaram <njayaram@...>
Date: 2018-03-20T22:43:25Z
MLP: Allow one-hot encoded dependent var for classification
JIRA:MADLIB-1222
MLP currently automatically encodes categorical variables for
classification but does not allow already encoded arrays for dependent
variables in mlp_classification. This commit lets users have an already
encoded array for the dependent variable and train a model.
----
> 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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