A regression problem is one where the goal is to predict a single numeric value. For example, you might want to predict the annual income of a person based on their sex, age, State where they live and ...

The goal of a machine learning regression problem is to predict a single numeric value. For example, you might want to predict a person's income based on their age, height, high school GPA, and so on.

I've been using Savitzky-Golay (SG) filters for quite a while, but always on 1D data, using an implementation based on the algorithm from the Numerical Recipes to calculate the kernel (mask, ...