[jira] [Assigned] (SPARK-15741) PySpark Cleanup of _setDefault with seed=None
[
https://issues.apache.org/jira/browse/SPARK-15741?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Apache Spark reassigned SPARK-15741:
Assignee: (was: Apache Spark)
> 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.
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[jira] [Assigned] (SPARK-15741) PySpark Cleanup of _setDefault with seed=None
[
https://issues.apache.org/jira/browse/SPARK-15741?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Apache Spark reassigned SPARK-15741:
Assignee: Apache Spark
> 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: Apache Spark
>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.
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