Github user holdenk commented on a diff in the pull request:
https://github.com/apache/spark/pull/18826#discussion_r197496908
--- Diff: python/pyspark/ml/classification.py ---
@@ -562,6 +564,11 @@ def evaluate(self, dataset):
java_blr_summary = self._call_java("evaluate", dataset)
return BinaryLogisticRegressionSummary(java_blr_summary)
+ def __repr__(self):
--- End diff --
So my question here is why we aren't calling the Java/Scala toString method
directly as we do in the mllib one and in many of the other models in
`regression.py` for the ml one?
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