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From "Xiangrui Meng (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (SPARK-15741) PySpark Cleanup of _setDefault with seed=None
Date Tue, 21 Jun 2016 18:44:58 GMT

     [ https://issues.apache.org/jira/browse/SPARK-15741?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Xiangrui Meng updated SPARK-15741:
----------------------------------
    Target Version/s: 2.0.0

> PySpark Cleanup of _setDefault with seed=None
> ---------------------------------------------
>
>                 Key: SPARK-15741
>                 URL: https://issues.apache.org/jira/browse/SPARK-15741
>             Project: Spark
>          Issue Type: Improvement
>          Components: ML, PySpark
>            Reporter: Bryan Cutler
>            Assignee: Bryan Cutler
>            Priority: Minor
>             Fix For: 2.0.0
>
>
> Several places in PySpark ML have Params._setDefault with a seed param equal to {{None}}.
 This is unnecessary as it will translate to a {{0}} even though the param has a fixed value
based by on the hashed classname by default.  Currently, the ALS doc test output depends on
this happening and would be more clear and stable if it was explicitly set to {{0}}.  These
should be cleaned up for stability and consistency.



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