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Posted to issues@spark.apache.org by "Evan Chen (JIRA)" <ji...@apache.org> on 2015/12/12 00:51:46 UTC

[jira] [Comment Edited] (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=15053808#comment-15053808 ] 

Evan Chen edited comment on SPARK-10931 at 12/11/15 11:51 PM:
--------------------------------------------------------------

Hey Joseph,

Thanks for the suggestion. 
What model abstraction and getattr method are you referring to?
I modified every model on the Python side to reflect how it is being done on the Scala side. 
Let me know what you think.


was (Author: evanchen92):
Hey Joseph,

Thanks for the suggestion. 
I was wondering what model abstraction and getattr method are you referring to?
I modified every model on the Python side to reflect how it is being done on the Scala side. 
Let me know what you think.

> 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.



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