Bago Amirbekian created SPARK-23562:
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Summary: RFormula handleInvalid should handle invalid values in
non-string columns.
Key: SPARK-23562
URL: https://issues.apache.org/jira/browse/SPARK-23562
Project: Spark
Issue Type: Improvement
Components: ML
Affects Versions: 2.3.0
Reporter: Bago Amirbekian
Currently when handleInvalid is set to 'keep' or 'skip' this only applies to
String fields. Numeric fields that are null will either cause the transformer
to fail or might be null in the resulting label column.
I'm not sure what the semantics of keep might be for numeric columns with null
values, but we should be able to at least support skip for these types.
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