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

Xiangrui Meng resolved SPARK-15741.
-----------------------------------
       Resolution: Fixed
    Fix Version/s: 2.0.0

Issue resolved by pull request 13672
[https://github.com/apache/spark/pull/13672]

> 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
>            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.



--
This message was sent by Atlassian JIRA
(v6.3.4#6332)

---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org
For additional commands, e-mail: issues-h...@spark.apache.org

Reply via email to