Artificial Intelligence, Deep Learning, Machine Learning, Optimization.
np.sqrt(mean_of_differences_squared) return rmse_val print("d is: " + str(["%.8f" % elem for elem in y_hat])) print("p is: " + str(["%.8f" % elem for elem in y_true])) rmse_val = rmse(y_hat, y_true) print("rms error is: " + str(rmse_val)) Mean Absolute Error/L1 Loss Mathematical formulation :- Mean