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https://issues.apache.org/jira/browse/SPARK-10931?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15061051#comment-15061051
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Joseph K. Bradley commented on SPARK-10931:
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I'd very strongly prefer not to modify every model. I believe we can save a
lot of code by using a generic, shared implementation. Check out {{getattr}}
here: [https://docs.python.org/2/library/functions.html]
In the wrapper.py file in spark.ml, there are some abstractions defined. I'm
hoping one of those can be modified to provide access to Params.
> 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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