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@@ -446,7 +446,9 @@ 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 'stable_baselines' in self.model_type or 'sb3_contrib' == self.model_type:
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elif 'stable_baselines' in self.model_type or\
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'sb3_contrib' == self.model_type or\
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'pytorch' == self.model_type:
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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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@@ -537,6 +539,9 @@ class FreqaiDataDrawer:
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self.model_type, self.freqai_info['rl_config']['model_type'])
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MODELCLASS = getattr(mod, self.freqai_info['rl_config']['model_type'])
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model = MODELCLASS.load(dk.data_path / f"{dk.model_filename}_model")
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elif self.model_type == 'pytorch':
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import torch
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model = torch.load(dk.data_path / f"{dk.model_filename}_model.zip")
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if Path(dk.data_path / f"{dk.model_filename}_svm_model.joblib").is_file():
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dk.svm_model = load(dk.data_path / f"{dk.model_filename}_svm_model.joblib")
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