Mark/celeste-ai
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Fixed minor bug

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Mark
2023-02-24 14:24:49 -08:00
parent 19923e672c
commit 4ff32b91ea
1 changed files with 2 additions and 6 deletions
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8
celeste/plot.py
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@ -8,16 +8,13 @@ from multiprocessing import Pool
m = Path("model_data/current") m = Path("model_data/current")
scaled = True
# Make "predicted reward" plots # Make "predicted reward" plots
def plot_pred(src_model): def plot_pred(src_model):
plotting.predicted_reward( plotting.predicted_reward(
src_model, src_model,
m / f"plots/predicted/{src_model.stem}.png", m / f"plots/predicted/{src_model.stem}.png",
device = torch.device("cpu"), device = torch.device("cpu")
scaled = scaled
) )
# Make "best action" plots # Make "best action" plots
@ -26,8 +23,7 @@ def plot_best(src_model):
src_model, src_model,
m / f"plots/best_action/{src_model.stem}.png", m / f"plots/best_action/{src_model.stem}.png",
device = torch.device("cpu"), device = torch.device("cpu")
scaled = scaled
) )
# Make "actual reward" plots # Make "actual reward" plots