[jira] [Commented] (SPARK-13047) Pyspark Params.hasParam should not throw an error

["Seth Hendrickson (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/SPARK-13047?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15120278#comment-15120278 ] 

Seth Hendrickson commented on SPARK-13047:
------------------------------------------

cc [~mengxr] who wrote the initial implementation.

> Pyspark Params.hasParam should not throw an error
> -------------------------------------------------
>
>                 Key: SPARK-13047
>                 URL: https://issues.apache.org/jira/browse/SPARK-13047
>             Project: Spark
>          Issue Type: Bug
>          Components: ML, PySpark
>            Reporter: Seth Hendrickson
>            Priority: Minor
>
> Pyspark {{Params}} class has a method {{hasParam(paramName)}} which returns True if the class has a parameter by that name, but throws an {{AttributeError}} otherwise. There is not currently a way of getting a Boolean to indicate if a class has a parameter. With Spark 2.0 we could modify the existing behavior of {{hasParam}} or add an additional method with this functionality.
> In Python:
> {code}
> from pyspark.ml.classification import NaiveBayes
> nb = NaiveBayes(smoothing=0.5)
> print nb.hasParam("smoothing")
> print nb.hasParam("notAParam")
> {code}
> produces:
> > True
> > AttributeError: 'NaiveBayes' object has no attribute 'notAParam'
> However, in Scala:
> {code}
> import org.apache.spark.ml.classification.NaiveBayes
> val nb  = new NaiveBayes()
> nb.hasParam("smoothing")
> nb.hasParam("notAParam")
> {code}
> produces:
> > true
> > false



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