0479807f6a3636d0040f6e8cacbafc85cec0dfcc,testing/test_optimizers.py,TestBayesianOptimizer,setUp,#TestBayesianOptimizer#,203

Before Change

    def setUp(self):
        super(TestBayesianOptimizer, self).setUp()
        design = GPflowOpt.design.LatinHyperCube(16, self.domain)
        X, Y = design.generate(), parabola2d(design.generate())[0]
        model = GPflow.gpr.GPR(X, Y, GPflow.kernels.RBF(2, ARD=True))
        acquisition = GPflowOpt.acquisition.ExpectedImprovement(model)
        self.optimizer = GPflowOpt.BayesianOptimizer(self.domain, acquisition)

    def setup_multi_objective(self):
        design = GPflowOpt.design.LatinHyperCube(16, self.domain)

After Change

class TestBayesianOptimizer(_TestOptimizer, unittest.TestCase):
    def setUp(self):
        super(TestBayesianOptimizer, self).setUp()
        acquisition = GPflowOpt.acquisition.ExpectedImprovement(create_parabola_model(self.domain))
        self.optimizer = GPflowOpt.BayesianOptimizer(self.domain, acquisition)

    def test_default_initial(self):
        self.assertTupleEqual(self.optimizer._initial.shape, (0, 2), msg="Invalid shape of initial points array")

Instances