| import numpy as np | |
| def nmse(gt, pred): | |
| """Compute Normalized Mean Squared Error (NMSE)""" | |
| return np.linalg.norm(gt - pred) ** 2 / np.linalg.norm(gt) ** 2 |
| import numpy as np | |
| def nmse(gt, pred): | |
| """Compute Normalized Mean Squared Error (NMSE)""" | |
| return np.linalg.norm(gt - pred) ** 2 / np.linalg.norm(gt) ** 2 |