On training how to set the frame_bound?

Question

On training how to set the frame_bound?

talvasconcelos opened this issue 2 years ago · 2 comments

I've been trying the stocksEnv on BTC data, to train a PPO agent. How do i set the frame_bound for training? it's the all training data, like frame_bound=(window_size, len(train)) ? or i set a smaller "window" that the bot learns on randomly, frame_bound=(window_size, 200)?

Answer 1 · 2023-02-11T17:48:42.000Z

Both methods or even a combination of them can be appropriate. Depending on the data and problem, each can have its own advantages. I think they are both worth investigating.

Answer 2 · 2023-02-16T12:07:43.000Z

Also, when taking the saved model and trying to use it on a python script, what's the minimum requeirements to use the model to make predictions? Do i need gym and gym_anytrading in order to create an env? when loading the model, do always need an env?