Machine Learning, Bayesian Optimization, Comet, Hyperparameter Tuning.
Optimization is a probabilistic model-based optimization algorithm. It builds a probability model of the objective function (i.e., the model's performance for a given set of hyperparameters) and selects the most promising hyperparameters to evaluate the true objective function. The key advantage is