def test_cmaes(self):
maximizer = CMAES(objective_function, self.lower, self.upper)
x = maximizer.maximize()
assert x.shape[0] == 2
assert len(x.shape) == 1
assert np.all(x >= self.lower)
assert np.all(x <= self.upper)
def test_cmaes(self):
maximizer = CMAES(self.objective_function, self.lower, self.upper)
x = maximizer.maximize()
assert x.shape[0] == 2
assert len(x.shape) == 1
assert np.all(x >= self.lower)
assert np.all(x <= self.upper)
def test_cmaes(self):
maximizer = CMAES(self.acquisition_func, self.branin.X_lower, self.branin.X_upper)
x = maximizer.maximize(verbose=False)
assert x.shape[0] == 1
assert x.shape[1] == self.branin.n_dims
assert np.all(x[:, 0] >= self.branin.X_lower[0])
assert np.all(x[:, 1] >= self.branin.X_lower[1])
assert np.all(x[:, 0] <= self.branin.X_upper[0])
assert np.all(x[:, 1] <= self.branin.X_upper[1])
assert np.all(x < self.branin.X_upper)
def test_cmaes(self):
maximizer = CMAES(self.acquisition_func, self.branin.X_lower,
self.branin.X_upper)
x = maximizer.maximize()
assert x.shape[0] == 1
assert x.shape[1] == self.branin.n_dims
assert np.all(x[:, 0] >= self.branin.X_lower[0])
assert np.all(x[:, 1] >= self.branin.X_lower[1])
assert np.all(x[:, 0] <= self.branin.X_upper[0])
assert np.all(x[:, 1] <= self.branin.X_upper[1])
assert np.all(x < self.branin.X_upper)