You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Evan Chen (JIRA)" <ji...@apache.org> on 2016/01/12 21:06:39 UTC

[jira] [Commented] (SPARK-10931) PySpark ML Models should contain Param values

    [ https://issues.apache.org/jira/browse/SPARK-10931?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15094671#comment-15094671 ] 

Evan Chen commented on SPARK-10931:
-----------------------------------

Hey Joseph,

Please advise on which method is preferred.

Thank you

> PySpark ML Models should contain Param values
> ---------------------------------------------
>
>                 Key: SPARK-10931
>                 URL: https://issues.apache.org/jira/browse/SPARK-10931
>             Project: Spark
>          Issue Type: Improvement
>          Components: ML, PySpark
>            Reporter: Joseph K. Bradley
>
> PySpark spark.ml Models are generally wrappers around Java objects and do not even contain Param values.  This JIRA is for copying the Param values from the Estimator to the model.
> This can likely be solved by modifying Estimator.fit to copy Param values, but should also include proper unit tests.



--
This message was sent by Atlassian JIRA
(v6.3.4#6332)

---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org