Github user sethah commented on a diff in the pull request:
https://github.com/apache/spark/pull/13557#discussion_r86653603
--- Diff: python/pyspark/ml/clustering.py ---
@@ -201,7 +202,74 @@ def computeCost(self, dataset):
"""
return self._call_java("computeCost", dataset)
+ @since("2.1.0")
+ def hasSummary(self):
+ """
+ Return true if there exists summary of model.
+ """
+ return self.summary is not None
--- End diff --
Good point. Other summaries have implemented this method by calling:
````python
return self._call_java("hasSummary")
````
About the unit test - how can you create a situation where the model does
not have a summary?
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