for testing and deploying your application
for finding and fixing issues
for empowering human code reviews
import numpy as np
def get_score(pos_new):
return -(pos_new[0] * pos_new[0])
search_space = [np.arange(-100, 100, 1)]
def _base_test(
opt_class, n_iter, get_score=get_score, search_space=search_space, opt_para={},
):
opt = opt_class(search_space, **opt_para)
opt.search(get_score, n_iter=n_iter)
SimonBlanke /
Gradient-Free-Optimizers
