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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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Joseph K. Bradley updated SPARK-9961:
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Description:
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.
was:
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.
> 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
>
> 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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