Add eval set to CatboostClassifier
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@ -30,6 +30,14 @@ class CatboostClassifier(BaseClassifierModel):
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label=data_dictionary["train_labels"],
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weight=data_dictionary["train_weights"],
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)
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if self.freqai_info.get("data_split_parameters", {}).get("test_size", 0.1) == 0:
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test_data = None
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else:
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test_data = Pool(
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data=data_dictionary["test_features"],
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label=data_dictionary["test_labels"],
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weight=data_dictionary["test_weights"],
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)
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cbr = CatBoostClassifier(
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allow_writing_files=True,
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@ -40,6 +48,6 @@ class CatboostClassifier(BaseClassifierModel):
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init_model = self.get_init_model(dk.pair)
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cbr.fit(train_data, init_model=init_model)
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cbr.fit(X=train_data, eval_set=test_data, init_model=init_model)
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return cbr
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