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Posted to issues@madlib.apache.org by "Frank McQuillan (JIRA)" <ji...@apache.org> on 2019/06/06 00:37:00 UTC
[jira] [Closed] (MADLIB-1313) Add 1-hot encoding support for
dependent var in fit
[ https://issues.apache.org/jira/browse/MADLIB-1313?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Frank McQuillan closed MADLIB-1313.
-----------------------------------
Resolution: Fixed
> 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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