Meta's Ax Guide: Adaptive Experimentation Coding

A practical tutorial demonstrates adaptive experimentation using Meta's Ax Client API. The workflow tunes a RandomForest model on synthetic classification data, balancing accuracy against model footprint. It covers mixed search spaces, ask-tell loops, constrained Bayesian optimization, multi-objective optimization, and Pareto frontier inspection.