Bayesian Ridge Regressor

Bayesian Ridge Regressor is a specialized type of Bayesian regression and uses a spherical Gaussian prior to fit the weights, which is also similar to the classical Ridge model.

Advantages:

• It adapts to the data at hand
• It can be used to include regularization parameters in the estimation procedure

Disadvantages:

Inference of the model can be time consuming