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https://issues.apache.org/jira/browse/SPARK-23562?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16424394#comment-16424394
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Apache Spark commented on SPARK-23562:
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User 'yogeshg' has created a pull request for this issue:
https://github.com/apache/spark/pull/20970
> 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
> Priority: Major
>
> 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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