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https://issues.apache.org/jira/browse/SPARK-9961?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Hyukjin Kwon resolved SPARK-9961.
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Resolution: Incomplete
> ML prediction abstractions should have defaultEvaluator fields
> --------------------------------------------------------------
>
> Key: SPARK-9961
> URL: https://issues.apache.org/jira/browse/SPARK-9961
> Project: Spark
> Issue Type: New Feature
> Components: ML
> Reporter: Joseph K. Bradley
> Priority: Major
> Labels: bulk-closed
>
> Predictor and PredictionModel should have abstract defaultEvaluator methods
> which return Evaluators. Subclasses like Regressor, Classifier, etc. should
> all provide natural evaluators, set to use the correct input columns and
> metrics. Concrete classes may later be modified to use other evaluators or
> evaluator options.
> The initial implementation should be marked as DeveloperApi since we may need
> to change the defaults later on.
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