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https://issues.apache.org/jira/browse/MADLIB-1313?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Nandish Jayaram reassigned MADLIB-1313:
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Assignee: Nandish Jayaram
> Add 1-hot encoding support for dependent var in fit
> ---------------------------------------------------
>
> Key: MADLIB-1313
> URL: https://issues.apache.org/jira/browse/MADLIB-1313
> Project: Apache MADlib
> Issue Type: New Feature
> Components: Deep Learning
> Reporter: Nandish Jayaram
> Assignee: Nandish Jayaram
> Priority: Major
> Fix For: v1.16
>
>
> The current fit function for DL assumes dependent variable is not one-hot
> encoded. But fit uses data obtained after running minibatch_preprocessor_dl
> that returns a 1-hot encoded array for each dependent var
> (https://issues.apache.org/jira/browse/MADLIB-1303).
> Fit should be able to work with this 1-hot encoded data to train the model,
> and also create a column called class_values in the model summary table to
> map 1-hot index with a class value.
> Predict should then be able to use class_values to figure out the label for a
> given row in the test table.
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