GPyOpt

GPyOpt is a software tool that helps optimize complex functions, especially when evaluating them is costly or time-consuming. It uses a method called Bayesian optimization, which builds a probabilistic model to predict results and intelligently selects the next best points to test. This approach minimizes the number of evaluations needed to find optimal solutions. GPyOpt is useful in fields like machine learning, engineering, or scientific research, where optimizing parameters efficiently can save time and resources. It provides an accessible way to perform advanced optimization without requiring deep expertise in statistical modeling.