In classical prediction use case, the predicted output is either a number (for regression) or category (for classification). A set of training data (x, y) where x is the input and y is the labeled output is provided to train a parameterized predictive model. The model is characterized by a set of parameters w Given an input x, for the model predicts y_hat = f(x; w) for regression, or the model pr