def run_test():
print('===== Test Start =====')
# Define Search Space
space = sp.Space()
x1 = sp.Real("x1", -5, 10, default_value=0)
x2 = sp.Real("x2", 0, 15, default_value=0)
space.add_variables([x1, x2])
# Run
try:
max_runs = 10
opt = Optimizer(
branin,
space,
max_runs=max_runs,
time_limit_per_trial=30,
task_id='test_install',
)
history = opt.run()
except Exception:
print(traceback.format_exc())
print('===== Exception in run_test()! Please check. =====')
else:
cnt = history.trial_states.count(SUCCESS)
if cnt == max_runs:
print('===== Congratulations! All trials succeeded. =====')
else:
print('===== %d/%d trials failed! Please check. =====' %
(max_runs - cnt, max_runs))
t2 = np.cos(x) * np.exp((1 - np.sin(y))**2)
t3 = (x - y)**2
result = dict()
result['objs'] = [
t1 + t2 + t3,
]
result['constraints'] = [
np.sum((X + 5)**2) - 25,
]
return result
if __name__ == "__main__":
params = {'float': {'x0': (-10, 0, -5), 'x1': (-6.5, 0, -3.25)}}
space = sp.Space()
space.add_variables(
[sp.Real(name, *para) for name, para in params['float'].items()])
opt = Optimizer(
mishra,
space,
num_constraints=1,
num_objs=1,
surrogate_type='gp',
acq_optimizer_type='random_scipy',
max_runs=50,
time_limit_per_trial=10,
task_id='soc',
)
history = opt.run()
