cheat flake8 for now until we can refactor save into the model class
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@@ -446,7 +446,7 @@ class FreqaiDataDrawer:
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dump(model, save_path / f"{dk.model_filename}_model.joblib")
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elif self.model_type == 'keras':
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model.save(save_path / f"{dk.model_filename}_model.h5")
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elif self.model_type in ["stable_baselines", "sb3_contrib", "pytorch"]:
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elif self.model_type in ["stable_baselines3", "sb3_contrib", "pytorch"]:
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model.save(save_path / f"{dk.model_filename}_model.zip")
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if dk.svm_model is not None:
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@@ -496,7 +496,7 @@ class FreqaiDataDrawer:
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dk.training_features_list = dk.data["training_features_list"]
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dk.label_list = dk.data["label_list"]
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def load_data(self, coin: str, dk: FreqaiDataKitchen) -> Any:
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def load_data(self, coin: str, dk: FreqaiDataKitchen) -> Any: # noqa: C901
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"""
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loads all data required to make a prediction on a sub-train time range
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:returns:
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