def main():
# (max_depth, n_estimators)
num_init = 1
model_bo = bo.BO(np.array([[1, 10], [100, 500]]), debug=True)
list_Y = []
list_time = []
for _ in range(0, 5):
X_final, Y_final, time_final, _, _ = wrappers_bo_function.run_single_round(
model_bo,
fun_target,
num_init,
10,
str_initial_method_bo='sobol',
str_sampling_method_ao='sobol',
num_samples_ao=100)
list_Y.append(Y_final)
list_time.append(time_final)
arr_Y = np.array(list_Y)
arr_Y = np.expand_dims(np.squeeze(arr_Y), axis=0)
arr_time = np.array(list_time)
arr_time = np.expand_dims(arr_time, axis=0)
utils_plotting.plot_minimum_vs_iter(arr_Y, ['xgboost'],
num_init,
True,
path_save=PATH_SAVE,
str_postfix='xgboost')
utils_plotting.plot_minimum_vs_time(arr_time,
arr_Y, ['xgboost'],
num_init,
True,
path_save=PATH_SAVE,
str_postfix='xgboost')
def main():
num_bo = 5
num_iter = 10
num_init = 5
bounds = obj_fun.get_bounds()
model_bo = bo.BO(bounds, debug=True)
list_Y = []
list_time = []
for ind_bo in range(0, num_bo):
print('BO Round', ind_bo + 1)
X_final, Y_final, time_final, _, _ = wrappers_bo_function.run_single_round(model_bo, fun_target, num_init, num_iter, str_initial_method_bo='sobol', str_sampling_method_ao='sobol', num_samples_ao=100)
print(X_final)
print(Y_final)
print(time_final)
list_Y.append(Y_final)
list_time.append(time_final)
bx_best, y_best = utils_bo.get_best_acquisition_by_history(X_final, Y_final)
print(bx_best, y_best)
arr_Y = np.array(list_Y)
arr_Y = np.expand_dims(np.squeeze(arr_Y), axis=0)
arr_time = np.array(list_time)
arr_time = np.expand_dims(arr_time, axis=0)
utils_plotting.plot_minimum_vs_iter(arr_Y, [STR_FUN_TARGET], num_init, True, path_save=PATH_SAVE, str_postfix=STR_FUN_TARGET)
utils_plotting.plot_minimum_vs_time(arr_time, arr_Y, [STR_FUN_TARGET], num_init, True, path_save=PATH_SAVE, str_postfix=STR_FUN_TARGET)
def main():
num_bo = 5
num_iter = 10
num_init = 5
bounds = obj_fun.get_bounds()
model_bo = wrappers.BayesianOptimization(
bounds,
fun_target,
num_iter,
str_surrogate='gp',
str_cov='matern52',
str_acq='ei',
str_initial_method_bo='sobol',
str_sampling_method_ao='sobol',
str_optimizer_method_gp='BFGS',
str_optimizer_method_bo='L-BFGS-B',
num_samples_ao=100,
debug=True,
)
list_Y = []
list_time = []
for ind_bo in range(0, num_bo):
print('BO Round', ind_bo + 1)
X, Y, time_all, _, _ = model_bo.optimize(num_init, seed=42 * ind_bo)
list_Y.append(Y)
list_time.append(time_all)
bx_best, y_best = utils_bo.get_best_acquisition_by_history(X, Y)
print(bx_best, y_best)
Ys = np.array(list_Y)
Ys = np.expand_dims(np.squeeze(Ys), axis=0)
times = np.array(list_time)
times = np.expand_dims(times, axis=0)
utils_plotting.plot_minimum_vs_iter(Ys, [STR_FUN_TARGET],
num_init,
True,
path_save=PATH_SAVE,
str_postfix=STR_FUN_TARGET)
utils_plotting.plot_minimum_vs_time(times,
Ys, [STR_FUN_TARGET],
num_init,
True,
path_save=PATH_SAVE,
str_postfix=STR_FUN_TARGET)
def test_plot_minimum_vs_time():
num_model = 2
num_bo = 3
num_iter = 10
arr_times = np.ones((num_model, num_bo, num_iter))
arr_minima = np.ones((num_model, num_bo, num_iter))
list_str_label = ['abc', 'def']
num_init = 3
draw_std = True
with pytest.raises(AssertionError) as error:
package_target.plot_minimum_vs_time(arr_times, arr_minima,
list_str_label, num_init, 1)
with pytest.raises(AssertionError) as error:
package_target.plot_minimum_vs_time(arr_times, arr_minima,
list_str_label, 'abc', draw_std)
with pytest.raises(AssertionError) as error:
package_target.plot_minimum_vs_time(arr_times, arr_minima, 1, num_init,
draw_std)
with pytest.raises(AssertionError) as error:
package_target.plot_minimum_vs_time(arr_times, 1, list_str_label,
num_init, draw_std)
with pytest.raises(AssertionError) as error:
package_target.plot_minimum_vs_time(1, arr_minima, list_str_label,
num_init, draw_std)
with pytest.raises(AssertionError) as error:
package_target.plot_minimum_vs_time(np.ones(
(4, num_bo, num_iter)), arr_minima, list_str_label, num_init,
draw_std)
with pytest.raises(AssertionError) as error:
package_target.plot_minimum_vs_time(np.ones(
(num_model, 4, num_iter)), arr_minima, list_str_label, num_init,
draw_std)
with pytest.raises(AssertionError) as error:
package_target.plot_minimum_vs_time(np.ones(
(num_model, num_bo, 25)), arr_minima, list_str_label, num_init,
draw_std)
with pytest.raises(AssertionError) as error:
package_target.plot_minimum_vs_time(np.ones(
(num_bo, num_iter)), arr_minima, list_str_label, num_init,
draw_std)
with pytest.raises(AssertionError) as error:
package_target.plot_minimum_vs_time(np.ones(num_iter), arr_minima,
list_str_label, num_init, draw_std)
with pytest.raises(AssertionError) as error:
package_target.plot_minimum_vs_time(arr_times, np.ones((10, 2)),
list_str_label, num_init, draw_std)
with pytest.raises(AssertionError) as error:
package_target.plot_minimum_vs_time(arr_times, np.ones(2),
list_str_label, num_init, draw_std)
with pytest.raises(AssertionError) as error:
package_target.plot_minimum_vs_time(arr_times, arr_minima,
['abc', 'def', 'ghi'], num_init,
draw_std)
with pytest.raises(AssertionError) as error:
package_target.plot_minimum_vs_time(arr_times, arr_minima,
list_str_label, 12, draw_std)
with pytest.raises(AssertionError) as error:
package_target.plot_minimum_vs_time(arr_times,
arr_minima,
list_str_label,
num_init,
draw_std,
include_marker=1)
with pytest.raises(AssertionError) as error:
package_target.plot_minimum_vs_time(arr_times,
arr_minima,
list_str_label,
num_init,
draw_std,
include_legend=1)
with pytest.raises(AssertionError) as error:
package_target.plot_minimum_vs_time(arr_times,
arr_minima,
list_str_label,
num_init,
draw_std,
use_tex=1)
with pytest.raises(AssertionError) as error:
package_target.plot_minimum_vs_time(arr_times,
arr_minima,
list_str_label,
num_init,
draw_std,
path_save=1)
with pytest.raises(AssertionError) as error:
package_target.plot_minimum_vs_time(arr_times,
arr_minima,
list_str_label,
num_init,
draw_std,
str_postfix=1)
with pytest.raises(AssertionError) as error:
package_target.plot_minimum_vs_time(arr_times,
arr_minima,
list_str_label,
num_init,
draw_std,
str_x_axis=1)
with pytest.raises(AssertionError) as error:
package_target.plot_minimum_vs_time(arr_times,
arr_minima,
list_str_label,
num_init,
draw_std,
str_y_axis=1)
with pytest.raises(AssertionError) as error:
package_target.plot_minimum_vs_time(arr_times,
arr_minima,
list_str_label,
num_init,
draw_std,
pause_figure='abc')
with pytest.raises(AssertionError) as error:
package_target.plot_minimum_vs_time(arr_times,
arr_minima,
list_str_label,
num_init,
draw_std,
time_pause='abc')
with pytest.raises(AssertionError) as error:
package_target.plot_minimum_vs_time(arr_times,
arr_minima,
list_str_label,
num_init,
draw_std,
range_shade='abc')
with pytest.raises(AssertionError) as error:
package_target.plot_minimum_vs_time(arr_times,
arr_minima,
list_str_label,
num_init,
draw_std,
markers='abc')
with pytest.raises(AssertionError) as error:
package_target.plot_minimum_vs_time(arr_times,
arr_minima,
list_str_label,
num_init,
draw_std,
colors='abc')