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automate eval freq in multiproc

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This commit is contained in:
robcaulk 2022-08-25 12:29:48 +02:00
parent 94cfc8e63f
commit 05ccebf9a1
1 changed files with 1 additions and 2 deletions
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3
freqtrade/freqai/prediction_models/ReinforcementLearner_multiproc.py
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@ -62,7 +62,6 @@ class ReinforcementLearner_multiproc(BaseReinforcementLearningModel):
""" """
train_df = data_dictionary["train_features"] train_df = data_dictionary["train_features"]
test_df = data_dictionary["test_features"] test_df = data_dictionary["test_features"]
eval_freq = self.freqai_info["rl_config"]["eval_cycles"] * len(test_df)
env_id = "train_env" env_id = "train_env"
num_cpu = int(self.freqai_info["rl_config"]["thread_count"] / 2) num_cpu = int(self.freqai_info["rl_config"]["thread_count"] / 2)
@ -77,5 +76,5 @@ class ReinforcementLearner_multiproc(BaseReinforcementLearningModel):
config=self.config) for i config=self.config) for i
in range(num_cpu)]) in range(num_cpu)])
self.eval_callback = EvalCallback(self.eval_env, deterministic=True, self.eval_callback = EvalCallback(self.eval_env, deterministic=True,
render=False, eval_freq=eval_freq, render=False, eval_freq=len(train_df),
best_model_save_path=dk.data_path) best_model_save_path=dk.data_path)