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https://issues.apache.org/jira/browse/SPARK-13625?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15176715#comment-15176715
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Apache Spark commented on SPARK-13625:
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User 'BryanCutler' has created a pull request for this issue:
https://github.com/apache/spark/pull/11476
> PySpark-ML method to get list of params for an obj should not check property
> attr
> ---------------------------------------------------------------------------------
>
> Key: SPARK-13625
> URL: https://issues.apache.org/jira/browse/SPARK-13625
> Project: Spark
> Issue Type: Improvement
> Components: ML, PySpark
> Reporter: Bryan Cutler
>
> In PySpark params.__init__.py, the method {{Param.params()}} returns a list
> of Params belonging to that object. This method should not check an
> attribute to be an instance of {{Param}} if it is a property (uses the
> {{@property}} decorator). This causes the property to be invoked to 'get'
> the attribute, and that can lead to an error, depending on the property. If
> an attribute is a property it will not be an ML {{Param}}, so no need to
> check it.
> I came across this in working on SPARK-13430 while adding
> {{LinearRegressionModel.summary}} as a property to give a training summary,
> similar to the Scala API. It is possible that a training summary does not
> exist and will then raise an exception if the {{summary}} property is
> invoked.
> Calling {{getattr(self, x)}} will cause the property to be invoked if {{x}}
> is a property. To fix this, just need to check if it a class property before
> making the call to {{getattr()}} in {{Param.params()}}.
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