tests.test_optimizers.test_TPE

Complexity

Total Complexity

1

Size/Duplication

Total Lines	19
Duplicated Lines	0 %

Importance

Changes

0

1 Function

Rating	Name	Duplication	Size	Complexity
A	test_opt()	0	2	1

# Author: Simon Blanke
# Email: simon.blanke@yahoo.com
# 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)
"""