Surrogate modeling

Surrogate modeling refers to the process of creating a function from data that approximates the relation underlying the data. For example if you have a data set with two variables, Height and Weight, you could create a surrogate model Weight = f(Height) so that given you data for Height, you can generate corresponding values of Weight.

Surrogate modeling is used for:

• Enabling capabilities that depend on functional variables, such as optimization and continuous visualization
• Speeding up calculations: surrogate models are generally fast, relatively simple mathematical expressions that can be evaluated almost instantly.
• And more...