Ejemplos de GP.get_parameter_bounds en Python

Ejemplo n.º 1

Archivo: test_modeling.py Proyecto: dfm/george

def test_bounds():
    kernel = 10 * kernels.ExpSquaredKernel(1.0, metric_bounds=[(None, 4.0)])
    kernel += 0.5 * kernels.RationalQuadraticKernel(log_alpha=0.1, metric=5.0)
    gp = GP(kernel, white_noise=LinearWhiteNoise(1.0, 0.1))

    # Test bounds length.
    assert len(gp.get_parameter_bounds()) == len(gp.get_parameter_vector())
    gp.freeze_all_parameters()
    gp.thaw_parameter("white_noise:m")
    assert len(gp.get_parameter_bounds()) == len(gp.get_parameter_vector())

    # Test invalid bounds specification.
    with pytest.raises(ValueError):
        kernels.ExpSine2Kernel(gamma=0.1, log_period=5.0, bounds=[10.0])

Ejemplo n.º 2

def test_bounds():
    kernel = 10 * kernels.ExpSquaredKernel(1.0, metric_bounds=[(None, 4.0)])
    kernel += 0.5 * kernels.RationalQuadraticKernel(log_alpha=0.1, metric=5.0)
    gp = GP(kernel, white_noise=LinearWhiteNoise(1.0, 0.1))

    # Test bounds length.
    assert len(gp.get_parameter_bounds()) == len(gp.get_parameter_vector())
    gp.freeze_all_parameters()
    gp.thaw_parameter("white_noise:m")
    assert len(gp.get_parameter_bounds()) == len(gp.get_parameter_vector())

    # Test invalid bounds specification.
    with pytest.raises(ValueError):
        kernels.ExpSine2Kernel(gamma=0.1, log_period=5.0, bounds=[10.0])