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https://issues.apache.org/jira/browse/SPARK-13047?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Seth Hendrickson updated SPARK-13047:
-------------------------------------
Description:
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
was: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.
> 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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