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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