[GitHub] [madlib] njayaram2 opened a new pull request #360: Deep Learning: Add support for one-hot encoded dep var

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njayaram2 opened a new pull request #360: Deep Learning: Add support for one-hot encoded dep var
URL: https://github.com/apache/madlib/pull/360
 
 
   The current madlib_keras_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).
   
   This commit updates madlib_keras_fit to expect a 1-hot encoded dependent var to
   train the model. We also create a new column named class_values in the model
   summary table that is passed along from the input summary table (which is
   mini-batched).  Predict then uses class_values to find the exact class label
   for test data. class_values can be NULL in case where user had already 1-hot
   encoded the data before calling minibatch_preprocessor_dl. In that case, we
   return the index of the expected class label.
   

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