for testing and deploying your application
for finding and fixing issues
for empowering human code reviews
# Author: Simon Blanke
# Email: [email protected]
# License: MIT License
import numpy as np
from gradient_free_optimizers import TreeStructuredParzenEstimators
from ._base_test import _base_test
n_iter = 33
opt = TreeStructuredParzenEstimators
def test_opt():
_base_test(opt, n_iter)
"""
def test_warm_start_smbo():
gpr_X, gpr_y = [], []
for _ in range(10):
pos = np.random.randint(0, high=9)
pos = np.array([pos])
gpr_X.append(pos)
gpr_y.append(get_score(pos))
for warm_start_smbo in [None, (gpr_X, gpr_y)]:
opt_para = {"warm_start_smbo": warm_start_smbo}
_base_test(opt, n_iter, opt_para=opt_para)
SimonBlanke /
Gradient-Free-Optimizers
