[ 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. -- 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