Artificial Intelligence, Deep Learning, Machine Learning, Optimization.
as linear programming to compute the gradients. Plus MAE is more robust to outliers since it does not make use of square. import numpy as np y_hat = np.array([0.000, 0.166, 0.333]) y_true = np.array([0.000, 0.254, 0.998]) print("d is: " + str(["%.8f" % elem for elem in y_hat])) print("p is: " +