[
https://issues.apache.org/jira/browse/SPARK-15741?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Bryan Cutler reopened SPARK-15741:
----------------------------------
Reopened as I feel this still should be cleaned up.
> 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
>
> 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: [email protected]
For additional commands, e-mail: [email protected]
