What Is Bayesian Hyperparameter Optimization?
What Is Bayesian Hyperparameter Optimization? Bayesian optimization is a global optimization method for noisy black-box functions. Applied to hyperparameter optimization, Bayesian optimization builds a probabilistic model of the function mapping from hyperparameter values to the objective evaluated on a validation set. How does Bayesian Hyperparameter optimization work? The one-sentence summary of Bayesian hyperparameter optimization is: