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)