I want to try and compare different optimization methods in some datasets. I know that in scikit-learn there are some corresponding functions for the grid and random search optimizations. However, I also need a package (or multiple ones) for different recent Bayesian optimization methods.
Are there any good and stable ones to use? Which packages do you recommend? (If any recent for grid/random search, it is also okay.)