Github user holdenk commented on a diff in the pull request:
https://github.com/apache/spark/pull/12675#discussion_r62555155
--- Diff: python/pyspark/ml/clustering.py ---
@@ -58,6 +58,124 @@ def gaussiansDF(self):
"""
return self._call_java("gaussiansDF")
+ @property
+ @since("2.0.0")
+ def summary(self):
+ """
+ Gets summary of model on training set. An exception is thrown if
+ `trainingSummary is None`.
+ """
+ java_gmt_summary = self._call_java("summary")
+ return GaussianMixtureTrainingSummary(java_gmt_summary)
+
+ @property
+ @since("2.0.0")
+ def hasSummary(self):
+ """
+ Indicates whether a training summary exists for this model
+ instance.
+ """
+ return self._call_java("hasSummary")
+
+ @since("2.0.0")
+ def evaluate(self, dataset):
--- End diff --
This function doesn't appear to be present in the Scala
`GaussianMixtureModel` - can you double check your functions against the
Scaladoc to make sure your wrapping the correct methods?
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