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switch multiproc thread count to rl_config definition
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@ -60,7 +60,7 @@ class ReinforcementLearner_multiproc(BaseReinforcementLearningModel):
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# environments
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if not self.train_env:
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env_id = "train_env"
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num_cpu = int(self.freqai_info["data_kitchen_thread_count"] / 2)
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num_cpu = int(self.freqai_info["rl_config"]["thread_count"] / 2)
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self.train_env = SubprocVecEnv([make_env(env_id, i, 1, train_df, prices_train,
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self.reward_params, self.CONV_WIDTH,
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config=self.config) for i
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