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https://issues.apache.org/jira/browse/SPARK-7425?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14991287#comment-14991287
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Stefano Baghino commented on SPARK-7425:
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Thank you for the feedback, [~josephkb].
I agree with what you say, it's just that the edit proposed by [~gweidner]
would result in regressions when the SchemaUtils.checkColumnType routine is
called with non-NumericTypes (I've checked usages throughout the code). I'm
checking if there's another way to work on the issue without causing unwanted
regressions. I actually implemented a solution and "just" need to write proper
tests, I'll need a little time as I'm doing this in my spare time. :)
> spark.ml Predictor should support other numeric types for label
> ---------------------------------------------------------------
>
> Key: SPARK-7425
> URL: https://issues.apache.org/jira/browse/SPARK-7425
> Project: Spark
> Issue Type: Sub-task
> Components: ML
> Reporter: Joseph K. Bradley
> Priority: Minor
> Labels: starter
>
> Currently, the Predictor abstraction expects the input labelCol type to be
> DoubleType, but we should support other numeric types. This will involve
> updating the PredictorParams.validateAndTransformSchema method.
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