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https://issues.apache.org/jira/browse/MADLIB-1315?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16824355#comment-16824355
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Frank McQuillan commented on MADLIB-1315:
-----------------------------------------
https://github.com/apache/madlib/pull/370
> Define the output of madlib_keras_predict
> -----------------------------------------
>
> Key: MADLIB-1315
> URL: https://issues.apache.org/jira/browse/MADLIB-1315
> Project: Apache MADlib
> Issue Type: New Feature
> Components: Deep Learning
> Reporter: Nandish Jayaram
> Priority: Major
> Fix For: v1.16
>
>
> Currently, we only give class label as output in output table. The following
> output format can be more informative, following the output format in MLP
> (http://madlib.apache.org/docs/latest/group__grp__nn.html#predict).
> Requirements:
> 1. Update predict interface to have a new optional param named `pred_type`.
> It takes two values, `response` or `prob`, and default can be `response`.
> 1. If `pred_type=response`, create one output column for the predicted class
> label. Following the convention in MLP, this column is to be named
> `estimated_COL_NAME` where COL_NAME is the name of the column being predicted.
> 1. If `pred_type=prob`, create one output column for each distinct class
> value found in training data (this is captured in `class_values` column from
> model summary table). The new columns should be named `prob_CLASS` where
> CLASS is the corresponding class value.
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