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