[jira] [Created] (MADLIB-1261) DT/RF- drop a categorical variable if it only has a single level

["Frank McQuillan (JIRA)" <ji...@apache.org>]

Frank McQuillan created MADLIB-1261:
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             Summary: DT/RF- drop a categorical variable if it only has a single level
                 Key: MADLIB-1261
                 URL: https://issues.apache.org/jira/browse/MADLIB-1261
             Project: Apache MADlib
          Issue Type: Improvement
          Components: Module: Decision Tree, Module: Random Forest
            Reporter: Frank McQuillan


Follow on from
https://issues.apache.org/jira/browse/MADLIB-1258

In the JIRA 1258, for DT/RF we decided *not* to drop a categorical variable if it only has a single level.  This avoided having to update `predict` (and other downstream functions) to handle the varying cat features across groups.   However this is not the most efficient implementation.  The alternative is drop a categorical variable if it only has a single level, and to make the necessary downstream changes including to `predict` .






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