Equivalent Function in ml for computeCost()

[Artemis User]

The RDD-based org.apache.spark.mllib.clustering.KMeansModel class 
defines a method called computeCost that is used to calculate the WCSS 
error of K-Means clusters 
(https://spark.apache.org/docs/latest/api/scala/org/apache/spark/mllib/clustering/KMeansModel.html). 
Is there an equivalent method of computeCost in the new ml library for 
K-Means?

Thanks in advance!
-- ND

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