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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2015/08/14 09:35:45 UTC

[jira] [Assigned] (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 ]

Apache Spark reassigned SPARK-9961:
-----------------------------------

    Assignee: Apache Spark

> 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
>            Assignee: Apache Spark
>
> 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 
> The initial implementation should be marked as DeveloperApi since we may need to change the defaults later on.



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