Machine Learning, Linear Regression, Data Science, Artificial Intelligence.
are convex and differentiable as they are continuous, soft functions. Thus, the optimum has a closed-form solution: # Function to fit a ridge model to data (notice the np.eye) def fit_ridge_regressor(x, y, reg_lambda, include_bias=True): if include_bias: x = np.column_stack((np.ones((len(x), 1)),