Comments (2)
Hi there, thanks for reaching out!
train.py
saves trained models (line 142-143); you can modify model file names there.
evaluate.py
uses saved models to backtest; you can pass in modified model file names through the input arguments.
Input arguments example can be found in README.md.
from deep-reinforcement-stock-trading.
Hi! Thank you for your answering!
I know what you mean,but my problem is that I modify model file names there like
if model_name == 'DDQN':
agent.model.save('saved_models/DDQN_ep' + str(e) + '.h5')
but the evaluate.py needs two files,one is"DDQN_ep10.h5", another is "DDQN_ep10_target.h5". I don't know how to save the "DDQN_ep10_target.h5",I can only save "DDQN_ep10.h5".
Hope you can answer me Sincerely!
from deep-reinforcement-stock-trading.
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