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https://issues.apache.org/jira/browse/SPARK-7511?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Joseph K. Bradley updated SPARK-7511:
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Summary: PySpark ML seed Param should be varied per class (was: PySpark ML
seed Param should be random by default)
> PySpark ML seed Param should be varied per class
> ------------------------------------------------
>
> Key: SPARK-7511
> URL: https://issues.apache.org/jira/browse/SPARK-7511
> Project: Spark
> Issue Type: Improvement
> Components: ML, PySpark
> Reporter: Joseph K. Bradley
> Priority: Minor
>
> Currently, Scala's HasSeed mix-in uses a random Long as the default value for
> seed. Python should too. (Currently, it seems to use "42")
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