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Posted to issues@spark.apache.org by "Feynman Liang (JIRA)" <ji...@apache.org> on 2016/01/13 18:40:39 UTC

[jira] [Created] (SPARK-12810) PySpark CrossValidatorModel should support avgMetrics

Feynman Liang created SPARK-12810:
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             Summary: PySpark CrossValidatorModel should support avgMetrics
                 Key: SPARK-12810
                 URL: https://issues.apache.org/jira/browse/SPARK-12810
             Project: Spark
          Issue Type: Improvement
          Components: ML, PySpark
            Reporter: Feynman Liang


The {CrossValidator} in Scala supports {avgMetrics} since 1.5.0, which allows the user to evaluate how well each {ParamMap} in the grid search performed and identify the best parameters. We should support this in PySpark as well.



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