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import time
import numpy as np
from hyperactive.optimizers import HillClimbingOptimizer
from hyperactive.experiment import BaseExperiment
from hyperactive.search_config import SearchConfig
class Experiment(BaseExperiment):
def objective_function(self, para):
score = -para["x1"] * para["x1"]
return score
experiment = Experiment()
search_config = SearchConfig(
x1=list(np.arange(0, 100000, 1)),
)
def test_max_time_0():
c_time1 = time.perf_counter()
hyper = HillClimbingOptimizer()
hyper.add_search(experiment, search_config, n_iter=1000000)
hyper.run(max_time=0.1)
diff_time1 = time.perf_counter() - c_time1
assert diff_time1 < 1
def test_max_time_1():
hyper.run(max_time=1)
assert 0.3 < diff_time1 < 2
SimonBlanke /
Hyperactive
