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:
from pyspark.ml.classification import NaiveBayes nb = NaiveBayes(smoothing=0.5) print nb.hasParam("smoothing") print nb.hasParam("notAParam")
produces:
> True
> AttributeError: 'NaiveBayes' object has no attribute 'notAParam'
However, in Scala:
import org.apache.spark.ml.classification.NaiveBayes val nb = new NaiveBayes() nb.hasParam("smoothing") nb.hasParam("notAParam")
produces:
> true
> false
