Thanks in advance!
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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?
- Equivalent Function in ml for computeCost() Artemis User
