Github user jkbradley commented on a diff in the pull request:
https://github.com/apache/spark/pull/10150#discussion_r49493664
--- Diff: python/pyspark/mllib/clustering.py ---
@@ -136,7 +258,10 @@ def predict(self, x):
def computeCost(self, rdd):
"""
Return the K-means cost (sum of squared distances of points to
- their nearest center) for this model on the given data.
+ their nearest center) for this model on the given
+ data.
+
+ :param point: the point or RDD of points to compute the cost(s).
--- End diff --
This is only for RDDs, not single points.
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