def main():
int_bo = 5
int_iter = 50
int_init = 3
int_dim = 2
bounds = utils_benchmarks.get_bounds(INFO_TARGET, int_dim)
model_bo = bo.BO(bounds, debug=True)
list_Y = []
list_time = []
for ind_bo in range(0, int_bo):
print('BO Iteration', ind_bo)
X_final, Y_final, time_final = utils_bo.optimize_many_with_random_init(model_bo, fun_target, int_init, int_iter, str_initial_method_bo='uniform', str_initial_method_ao='uniform', int_samples_ao=100)
print(X_final)
print(Y_final)
print(time_final)
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(arr_Y, [STR_FUN_TARGET], int_init, True, path_save=PATH_SAVE, str_postfix=STR_FUN_TARGET)
utils_plotting.plot_minimum_time(arr_time, arr_Y, [STR_FUN_TARGET], int_init, True, path_save=PATH_SAVE, str_postfix=STR_FUN_TARGET)
def main(str_optimizer_method_gp, str_mlm_method, str_ms_method, int_bo, int_iter, int_init):
int_dim = 2
bounds = utils_benchmarks.get_bounds(INFO_TARGET, int_dim)
list_Y = []
list_time = []
for ind_bo in range(0, int_bo):
print('BO Iteration', ind_bo)
model_bo = bo.BO(bounds, str_optimizer_method_gp=str_optimizer_method_gp, debug=False)
X_final, Y_final, time_final = utils_bo.optimize_many_with_random_init(model_bo, fun_target, int_init, int_iter, str_initial_method_bo='uniform', str_initial_method_ao='uniform', int_samples_ao=100, str_mlm_method=str_mlm_method, str_modelselection_method=str_ms_method, int_seed=77*(ind_bo+1))
list_Y.append(Y_final)
list_time.append(time_final)
arr_Y = np.array(list_Y)
if int_bo == 1:
arr_Y = np.expand_dims(np.squeeze(arr_Y), axis=0)
else:
arr_Y = np.squeeze(arr_Y)
arr_Y = np.expand_dims(arr_Y, axis=0)
arr_time = np.array(list_time)
arr_time = np.expand_dims(arr_time, axis=0)
print(np.array2string(arr_Y, separator=','))
print(np.array2string(arr_time, separator=','))
utils_plotting.plot_minimum(arr_Y, [STR_FUN_TARGET], int_init, True, path_save=None, str_postfix=None)
utils_plotting.plot_minimum_time(arr_time, arr_Y, [STR_FUN_TARGET], int_init, True, path_save=None, str_postfix=None)
return arr_Y, arr_time
def test_get_bounds():
info_branin = copy.deepcopy(benchmarks.INFO_BRANIN)
info_ackley = copy.deepcopy(benchmarks.INFO_ACKLEY)
with pytest.raises(AssertionError) as error:
utils_benchmarks.get_bounds(1, 2)
with pytest.raises(AssertionError) as error:
utils_benchmarks.get_bounds(info_branin, 1.2)
with pytest.raises(ValueError) as error:
utils_benchmarks.get_bounds(info_branin, 3)
with pytest.raises(AssertionError) as error:
utils_benchmarks.get_bounds(info_branin, np.inf)
with pytest.raises(AssertionError) as error:
utils_benchmarks.get_bounds(info_branin, -2)
with pytest.raises(AssertionError) as error:
utils_benchmarks.get_bounds(info_ackley, np.inf)
with pytest.raises(AssertionError) as error:
utils_benchmarks.get_bounds(info_ackley, -2)
bounds = utils_benchmarks.get_bounds(info_branin, 2)
assert (bounds == info_branin['bounds']).all()
bounds = utils_benchmarks.get_bounds(info_ackley, 4)
assert (bounds == np.repeat(info_ackley['bounds'], 4, axis=0)).all()