[jira] [Created] (SPARK-8983) ML Tuning Cross-Validation Improvements

["Feynman Liang (JIRA)" <ji...@apache.org>]

Feynman Liang created SPARK-8983:
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             Summary: ML Tuning Cross-Validation Improvements
                 Key: SPARK-8983
                 URL: https://issues.apache.org/jira/browse/SPARK-8983
             Project: Spark
          Issue Type: Umbrella
          Components: ML
            Reporter: Feynman Liang


This is an umbrella for grouping together various improvements to pipelines tuning features, centralizing developer communication, and encouraging code reuse and common interfaces.

We currently only support k-fold CV in {{CrossValidator}} while competing packages (e.g. [R caret|http://topepo.github.io/caret/splitting.html]) are much more feature rich, supporting balanced class labels, hold-out for time-series data, etc.



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