Non Linear, Regression, Data Science, Python, Least Squares.
calc_exponentiated_mean(beta, x) r = np.subtract(y_pred, np.array(y_obs).flatten()) return r Initialize the coefficients β vector to all 1.0 values. There are regression variables in X (count them to verify!) and the regression intercept, i.e. two variables in all. So β is of size (1 x 12). The