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Posted to issues@spark.apache.org by "Joseph K. Bradley (JIRA)" <ji...@apache.org> on 2015/05/15 23:56:00 UTC

[jira] [Updated] (SPARK-7511) PySpark ML seed Param should be varied per class

     [ https://issues.apache.org/jira/browse/SPARK-7511?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Joseph K. Bradley updated SPARK-7511:
-------------------------------------
    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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