Github user jkbradley commented on a diff in the pull request:
https://github.com/apache/spark/pull/9931#discussion_r48909691
--- Diff: python/pyspark/ml/clustering.py ---
@@ -36,6 +36,14 @@ def clusterCenters(self):
"""Get the cluster centers, represented as a list of NumPy
arrays."""
return [c.toArray() for c in self._call_java("clusterCenters")]
+ @since("1.6.0")
+ def computeCost(self, dataset):
+ """
+ Return the K-means cost (sum of squared distances of points to
their nearest center)
+ for this model on the given data.
+ """
+ return self._java_obj.computeCost(dataset._jdf)
--- End diff --
Use _call_java instead of accessing the _java_obj (That seems to be the
more common pattern.)
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