Machine Learning, Linear Regression, Data Science, Artificial Intelligence.
dataset.target # Compute model for varying regularization lambdas num_lambdas = 30 reg_results = np.empty((X.shape[1]+1,num_lambdas)) reg_lambdas = np.linspace(start=0, stop=20, num=num_lambdas) for i, reg_lambda in enumerate(reg_lambdas): betas = fit_ridge_regressor(X, y, reg_lambda) # fit model