adelorenzo/stable
1
0
Fork 0
Code Issues Pull Requests Packages Projects Releases Wiki Activity

Merge pull request #7834 from freqtrade/fix-data-drawer-model-load

Browse Source 
Fix sb3_contrib loading issue
This commit is contained in:
Matthias 2022-12-02 06:29:23 +01:00 committed by GitHub
commit 4dc591a170
No known key found for this signature in database
GPG Key ID: 4AEE18F83AFDEB23
2 changed files with 4 additions and 4 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

2
freqtrade/freqai/RL/BaseReinforcementLearningModel.py
View File

@ -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 'stable_baselines' in self.model_type or 'sb3_contrib' == self.model_type:
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 'stable_baselines' in self.model_type or 'sb3_contrib' == self.model_type:
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")