Github user BryanCutler commented on a diff in the pull request:
https://github.com/apache/spark/pull/11621#discussion_r56697758
--- Diff: python/pyspark/ml/classification.py ---
@@ -231,6 +232,210 @@ def intercept(self):
"""
return self._call_java("intercept")
+ @property
+ @since("2.0.0")
+ def summary(self):
+ """
+ Gets summary (e.g. residuals, mse, r-squared ) of model on
+ training set. An exception is thrown if
+ `trainingSummary == None`.
+ """
+ java_blrt_summary = self._call_java("summary")
+ return BinaryLogisticRegressionTrainingSummary(java_blrt_summary)
+
+ @property
+ @since("2.0.0")
+ def hasSummary(self):
+ """
+ Indicates whether a training summary exists for this model
+ instance.
+ """
+ return self._call_java("hasSummary")
+
+ """
--- End diff --
Sure I can remove this if that's preferable. I just didn't want to ignore
it without knowing the status of the Scala API. @mengxr @jkbradley is
`evaluate` going to public soon or is it best to not include this at all?
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