I'm using scikit learn's linear model to do ridge regression. Ridge regression penalizes parameters for moving away from zero. I want to penalize for moving away from a certain prior, with each parameter having a different prior.
Is this possible with scikit learn's linear model? I know there's a BayesianRidge module there, but I'm not sure what it does.