import utils
import optimizer
if __name__ == '__main__':
opt_requirements, experimental_settings = utils.parse_requirements()
hp_utils = utils.HyperparameterUtilities(experimental_settings)
opt = optimizer.LatinHypercubeSampling(hp_utils, opt_requirements, experimental_settings)
best_conf, best_performance = opt.optimize()
import utils
import optimizer
if __name__ == '__main__':
func_name = "sphere"
requirements, experimental_settings = utils.parse_requirements()
hp_utils = utils.HyperparameterUtilities(
func_name, experimental_settings=experimental_settings)
opt = optimizer.TPE(hp_utils, **requirements)
best_conf, best_performance = opt.optimize()