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

["Joseph K. Bradley (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-8983?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Joseph K. Bradley updated SPARK-8983:
-------------------------------------
    Target Version/s: 1.6.0  (was: 1.5.0)

> 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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