AutoML Frameworks

AutoML automates model selection, pipeline construction, and hyperparameter tuning using search strategies like Bayesian optimization and evolutionary search. Practical systems combine multi-fidelity evaluations, meta-learning for warm-starts, and hardware-aware objectives to manage compute budgets.