Github user sethah commented on a diff in the pull request:
https://github.com/apache/spark/pull/13557#discussion_r90132591
--- Diff: python/pyspark/ml/clustering.py ---
@@ -316,6 +316,36 @@ def computeCost(self, dataset):
"""
return self._call_java("computeCost", dataset)
+ @property
+ @since("2.1.0")
+ def hasSummary(self):
+ """
+ Indicates whether a training summary exists for this model
instance.
+ """
+ return self._call_java("hasSummary")
+
+ @property
+ @since("2.1.0")
+ def summary(self):
+ """
+ Gets summary (e.g. cluster assignments, cluster sizes) of the
model trained on the
+ training set. An exception is thrown if no summary exists.
+ """
+ if self.hasSummary:
+ return KMeansSummary(self._call_java("summary"))
+ else:
+ raise RuntimeError("No training summary available for this %s"
%
+ self.__class__.__name__)
+
+
+class KMeansSummary(ClusteringSummary):
--- End diff --
Let's move it after the `KMeans` class like the others.
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