[
https://issues.apache.org/jira/browse/SPARK-13047?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Apache Spark reassigned SPARK-13047:
------------------------------------
Assignee: (was: Apache Spark)
> 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
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
