Nandish Jayaram created MADLIB-1313:
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Summary: 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
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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