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Posted to issues@spark.apache.org by "Hyukjin Kwon (JIRA)" <ji...@apache.org> on 2019/05/21 04:37:57 UTC

[jira] [Resolved] (SPARK-9961) ML prediction abstractions should have defaultEvaluator fields

     [ https://issues.apache.org/jira/browse/SPARK-9961?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Hyukjin Kwon resolved SPARK-9961.
---------------------------------
    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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