A regression problem is one where the goal is to predict a single numeric value. For example, you might want to predict the price of a house based on its square footage, age, number of bedrooms and ...

As mentioned earlier, GPR can handle categorical predictor variables by using one-hot encoding. A regression technique that is closely related to Gaussian process regression is kernel ridge regression ...