Feature Request: surrogate models of the objectives

[sdaulton]

Hey @sgbaird!

This repo is super cool! It is great to see Ax is useful for these optimization problems.

In the interest of lightweight R&D, it would be awesome if this repo had multi-fidelity surrogate models of the objective functions. This would make it easier to develop better Bayesian optimization methods (and run multiple replications of optimization loops), without needing the custom hardware.

Would it be possible to add some multi-fidelity surrogate models of the objective functions (e.g. Random Forests) to the repo that could be downloaded and used?

Thanks!

cc @eytan @balandat