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11 changes: 4 additions & 7 deletions python/pyspark/ml/tests/test_tuning.py
Original file line number Diff line number Diff line change
Expand Up @@ -101,7 +101,6 @@ def test_copy(self):
lambda x: x.getEstimator().uid,
# SPARK-32092: CrossValidator.copy() needs to copy all existing params
lambda x: x.getNumFolds(),
lambda x: x.getFoldCol(),
lambda x: x.getCollectSubModels(),
lambda x: x.getParallelism(),
lambda x: x.getSeed()
Expand All @@ -116,7 +115,6 @@ def test_copy(self):
# SPARK-32092: CrossValidatorModel.copy() needs to copy all existing params
for param in [
lambda x: x.getNumFolds(),
lambda x: x.getFoldCol(),
lambda x: x.getSeed()
]:
self.assertEqual(param(cvModel), param(cvModelCopied))
Expand All @@ -127,9 +125,9 @@ def test_copy(self):
'foo',
"Changing the original avgMetrics should not affect the copied model"
)
cvModel.subModels[0] = 'foo'
cvModel.subModels[0][0].getInducedError = lambda: 'foo'
self.assertNotEqual(
cvModelCopied.subModels[0],
cvModelCopied.subModels[0][0].getInducedError(),
'foo',
"Changing the original subModels should not affect the copied model"
)
Expand Down Expand Up @@ -224,7 +222,6 @@ def test_save_load_trained_model(self):
loadedCvModel = CrossValidatorModel.load(cvModelPath)
for param in [
lambda x: x.getNumFolds(),
lambda x: x.getFoldCol(),
lambda x: x.getSeed(),
lambda x: len(x.subModels)
]:
Expand Down Expand Up @@ -780,9 +777,9 @@ def test_copy(self):
'foo',
"Changing the original validationMetrics should not affect the copied model"
)
tvsModel.subModels[0] = 'foo'
tvsModel.subModels[0].getInducedError = lambda: 'foo'
self.assertNotEqual(
tvsModelCopied.subModels[0],
tvsModelCopied.subModels[0].getInducedError(),
'foo',
"Changing the original subModels should not affect the copied model"
)
Expand Down
7 changes: 4 additions & 3 deletions python/pyspark/ml/tuning.py
Original file line number Diff line number Diff line change
Expand Up @@ -480,7 +480,10 @@ def copy(self, extra=None):
extra = dict()
bestModel = self.bestModel.copy(extra)
avgMetrics = list(self.avgMetrics)
subModels = [model.copy() for model in self.subModels]
subModels = [
[sub_model.copy() for sub_model in fold_sub_models]
for fold_sub_models in self.subModels
]
return self._copyValues(CrossValidatorModel(bestModel, avgMetrics, subModels), extra=extra)

@since("2.3.0")
Expand Down Expand Up @@ -511,7 +514,6 @@ def _from_java(cls, java_stage):
"estimator": estimator,
"estimatorParamMaps": epms,
"numFolds": java_stage.getNumFolds(),
"foldCol": java_stage.getFoldCol(),
"seed": java_stage.getSeed(),
}
for param_name, param_val in params.items():
Expand Down Expand Up @@ -544,7 +546,6 @@ def _to_java(self):
"estimator": estimator,
"estimatorParamMaps": epms,
"numFolds": self.getNumFolds(),
"foldCol": self.getFoldCol(),
"seed": self.getSeed(),
}
for param_name, param_val in params.items():
Expand Down