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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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