[jira] [Resolved] (SPARK-14714) PySpark Param TypeConverter arg is not passed by name in some cases

["Joseph K. Bradley (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-14714?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Joseph K. Bradley resolved SPARK-14714.
---------------------------------------
       Resolution: Fixed
    Fix Version/s: 2.0.0

Issue resolved by pull request 12480
[https://github.com/apache/spark/pull/12480]

> PySpark Param TypeConverter arg is not passed by name in some cases
> -------------------------------------------------------------------
>
>                 Key: SPARK-14714
>                 URL: https://issues.apache.org/jira/browse/SPARK-14714
>             Project: Spark
>          Issue Type: Bug
>          Components: ML, PySpark
>    Affects Versions: 2.0.0
>            Reporter: Joseph K. Bradley
>            Assignee: Joseph K. Bradley
>            Priority: Minor
>             Fix For: 2.0.0
>
>
> PySpark Param constructors need to pass the TypeConverter argument by name, partly to make sure it is not mistaken for the expectedType arg and partly because we will remove the expectedType arg in 2.1.  In several places, this is not being done correctly.



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