zero323 commented on a change in pull request #35403:
URL: https://github.com/apache/spark/pull/35403#discussion_r800059103
##########
File path: python/pyspark/ml/evaluation.py
##########
@@ -130,16 +146,23 @@ def _evaluate(self, dataset):
evaluation metric
"""
self._transfer_params_to_java()
+ assert self._java_obj is not None
return self._java_obj.evaluate(dataset._jdf)
- def isLargerBetter(self):
+ def isLargerBetter(self) -> bool:
self._transfer_params_to_java()
+ assert self._java_obj is not None
return self._java_obj.isLargerBetter()
@inherit_doc
class BinaryClassificationEvaluator(
- JavaEvaluator, HasLabelCol, HasRawPredictionCol, HasWeightCol,
JavaMLReadable, JavaMLWritable
+ JavaEvaluator,
+ HasLabelCol,
+ HasRawPredictionCol,
+ HasWeightCol,
+ JavaMLReadable["BinaryClassificationEvaluator"],
Review comment:
This is currently blocked by SPARK-37415 and SPARK-37416, as we need
`MLReadable` types to be runtime generic (already tested if these three
integrate together).
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