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Fix sb3_contrib loading issue

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Emre 2022-12-01 10:08:42 +03:00
parent 95651fcd5a
commit 4a9982f86b
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GPG Key ID: 0EAD2EE11B666ABA
2 changed files with 4 additions and 4 deletions
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2
freqtrade/freqai/RL/BaseReinforcementLearningModel.py
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@ -64,7 +64,7 @@ class BaseReinforcementLearningModel(IFreqaiModel):
self.policy_type = self.freqai_info['rl_config']['policy_type'] self.policy_type = self.freqai_info['rl_config']['policy_type']
self.unset_outlier_removal() self.unset_outlier_removal()
self.net_arch = self.rl_config.get('net_arch', [128, 128]) self.net_arch = self.rl_config.get('net_arch', [128, 128])
self.dd.model_type = "stable_baselines" self.dd.model_type = import_str
def unset_outlier_removal(self): def unset_outlier_removal(self):
""" """

6
freqtrade/freqai/data_drawer.py
View File

@ -503,7 +503,7 @@ class FreqaiDataDrawer:
dump(model, save_path / f"{dk.model_filename}_model.joblib") dump(model, save_path / f"{dk.model_filename}_model.joblib")
elif self.model_type == 'keras': elif self.model_type == 'keras':
model.save(save_path / f"{dk.model_filename}_model.h5") model.save(save_path / f"{dk.model_filename}_model.h5")
elif 'stable_baselines' in self.model_type: elif self.model_type in ['stable_baselines3', 'sb3_contrib']:
model.save(save_path / f"{dk.model_filename}_model.zip") model.save(save_path / f"{dk.model_filename}_model.zip")
if dk.svm_model is not None: if dk.svm_model is not None:
@ -589,9 +589,9 @@ class FreqaiDataDrawer:
elif self.model_type == 'keras': elif self.model_type == 'keras':
from tensorflow import keras from tensorflow import keras
model = keras.models.load_model(dk.data_path / f"{dk.model_filename}_model.h5") model = keras.models.load_model(dk.data_path / f"{dk.model_filename}_model.h5")
elif self.model_type == 'stable_baselines': elif self.model_type in ['stable_baselines3', 'sb3_contrib']:
mod = importlib.import_module( mod = importlib.import_module(
'stable_baselines3', self.freqai_info['rl_config']['model_type']) self.model_type, self.freqai_info['rl_config']['model_type'])
MODELCLASS = getattr(mod, self.freqai_info['rl_config']['model_type']) MODELCLASS = getattr(mod, self.freqai_info['rl_config']['model_type'])
model = MODELCLASS.load(dk.data_path / f"{dk.model_filename}_model") model = MODELCLASS.load(dk.data_path / f"{dk.model_filename}_model")