| import torch | |
| import torch.nn as nn | |
| def RMSE(predictions, targets): | |
| mse_eval = nn.MSELoss() | |
| rmse = torch.sqrt(mse_eval(predictions, targets)).item() | |
| return rmse |
| import torch | |
| import torch.nn as nn | |
| def RMSE(predictions, targets): | |
| mse_eval = nn.MSELoss() | |
| rmse = torch.sqrt(mse_eval(predictions, targets)).item() | |
| return rmse |