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ensuring best_model is placed in ram and saved to disk and loaded from disk

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robcaulk 2022-08-15 18:08:20 +02:00
parent bf7ceba958
commit e5df39e891
1 changed files with 1 additions and 1 deletions
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freqtrade/freqai/prediction_models/ReinforcementLearningPPO_multiproc.py
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@ -62,7 +62,7 @@ class ReinforcementLearningPPO_multiproc(BaseReinforcementLearningModel):
env_id = "train_env" env_id = "train_env"
num_cpu = int(dk.thread_count / 2) num_cpu = int(dk.thread_count / 2)
train_env = SubprocVecEnv([make_env(env_id, i, 1, train_df, price, reward_params, train_env = SubprocVecEnv([make_env(env_id, i, 1, train_df, price, reward_params,
self.CONV_WIDTH) for i in range(train_num_cpu)]) self.CONV_WIDTH) for i in range(num_cpu)])
eval_env_id = 'eval_env' eval_env_id = 'eval_env'
eval_env = SubprocVecEnv([make_env(eval_env_id, i, 1, test_df, price_test, reward_params, eval_env = SubprocVecEnv([make_env(eval_env_id, i, 1, test_df, price_test, reward_params,