spark-issues mailing list archives

Site index · List index
Message view « Date » · « Thread »
Top « Date » · « Thread »
From "Evan Chen (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (SPARK-10931) PySpark ML Models should contain Param values
Date Fri, 11 Dec 2015 23:51:46 GMT

    [ https://issues.apache.org/jira/browse/SPARK-10931?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15053808#comment-15053808
] 

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

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.



--
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


Mime
View raw message