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Posted to issues@spark.apache.org by "Apache Spark (Jira)" <ji...@apache.org> on 2020/07/14 21:41:00 UTC

[jira] [Assigned] (SPARK-32310) ML params default value parity

     [ https://issues.apache.org/jira/browse/SPARK-32310?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Apache Spark reassigned SPARK-32310:
------------------------------------

    Assignee: Apache Spark

> ML params default value parity
> ------------------------------
>
>                 Key: SPARK-32310
>                 URL: https://issues.apache.org/jira/browse/SPARK-32310
>             Project: Spark
>          Issue Type: Improvement
>          Components: ML, PySpark
>    Affects Versions: 3.0.1, 3.1.0
>            Reporter: Huaxin Gao
>            Assignee: Apache Spark
>            Priority: Major
>
> Make sure ML has the same default param values between estimator and its corresponding transformer, and also between Scala and Python.



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