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https://issues.apache.org/jira/browse/SPARK-9690?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiangrui Meng updated SPARK-9690:
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Target Version/s: 1.7.0 (was: 1.6.0)
> Add random seed Param to PySpark CrossValidator
> -----------------------------------------------
>
> Key: SPARK-9690
> URL: https://issues.apache.org/jira/browse/SPARK-9690
> Project: Spark
> Issue Type: Sub-task
> Components: ML, PySpark
> Affects Versions: 1.4.1
> Reporter: Martin Menestret
> Priority: Minor
> Original Estimate: 1h
> Remaining Estimate: 1h
>
> The fold in the ML CrossValidator depends on a rand whose seed is set to 0
> and it leads the sql.functions rand to call sc._jvm.functions.rand() with no
> seed.
> In order to be able to unit test a Cross Validation it would be a good idea
> to be able to set this seed so the output of the cross validation (with a
> featureSubsetStrategy set to "all") would always be the same.
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