| import math | |
| import numpy as np | |
| def MAE(y_true, y_pre): | |
| y_true = (y_true).reshape((-1, 1)) | |
| y_pre = (y_pre).reshape((-1, 1)) | |
| re = np.abs(y_true - y_pre).mean() | |
| return re | |
| def RMSE(y_true, y_pre): | |
| y_true = (y_true).reshape((-1, 1)) | |
| y_pre = (y_pre).reshape((-1, 1)) | |
| re = math.sqrt(((y_true - y_pre) ** 2).mean()) | |
| return re | |
| def MAPE(y_true, y_pre): | |
| y_true = (y_true).reshape((-1, 1)) | |
| y_pre = (y_pre).reshape((-1, 1)) | |
| # e = (y_true + y_pre) / 2 + 1e-2 | |
| # re = (np.abs(y_true - y_pre) / (np.abs(y_true) + e)).mean() | |
| re = np.mean(np.abs((y_true - y_pre) / y_true)) * 100 | |
| return re | |