remove trained_stake

This commit is contained in:
robcaulk 2022-05-03 10:36:44 +02:00
parent b40f8f88ac
commit 630d201546
1 changed files with 1 additions and 5 deletions

View File

@ -62,10 +62,6 @@ class IFreqaiModel(ABC):
print('going to train',len(self.dh.training_timeranges), print('going to train',len(self.dh.training_timeranges),
'timeranges:',self.dh.training_timeranges) 'timeranges:',self.dh.training_timeranges)
predictions = np.array([])
do_predict = np.array([])
target_mean = np.array([])
target_std = np.array([])
# Loop enforcing the sliding window training/backtesting paragigm # Loop enforcing the sliding window training/backtesting paragigm
# tr_train is the training time range e.g. 1 historical month # tr_train is the training time range e.g. 1 historical month
@ -149,7 +145,7 @@ class IFreqaiModel(ABC):
:param path: path to model :param path: path to model
""" """
coin,_ = pair.split('/') coin,_ = pair.split('/')
self.dh.model_filename = f"cb_"+coin.lower()+"_"+self.freqai_info['trained_stake']+"_"+training_timerange self.dh.model_filename = f"cb_"+coin.lower()+"_"+training_timerange
file_exists = os.path.isfile(self.dh.model_path+ file_exists = os.path.isfile(self.dh.model_path+
self.dh.model_filename+"_model.joblib") self.dh.model_filename+"_model.joblib")
if file_exists: if file_exists: