Beispiel #1
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def test_probability_of_feasibility_builder_builds_pof(threshold: float,
                                                       at: tf.Tensor) -> None:
    builder = ProbabilityOfFeasibility(threshold)
    acq = builder.prepare_acquisition_function(zero_dataset(),
                                               QuadraticWithUnitVariance())
    expected = probability_of_feasibility(QuadraticWithUnitVariance(),
                                          threshold, at)
    npt.assert_allclose(acq(at), expected)
Beispiel #2
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def test_probability_of_feasibility_builder_builds_pof(threshold: float,
                                                       at: tf.Tensor) -> None:
    builder = ProbabilityOfFeasibility(threshold)
    acq = builder.prepare_acquisition_function(empty_dataset([1], [1]),
                                               QuadraticMeanAndRBFKernel())
    expected = probability_of_feasibility(QuadraticMeanAndRBFKernel(),
                                          threshold, at)
    npt.assert_allclose(acq(at), expected)
Beispiel #3
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def test_probability_of_feasibility_raises_on_incorrect_at_shape(shape: ShapeLike) -> None:
    at = tf.ones(shape)
    with pytest.raises(ValueError):
        probability_of_feasibility(QuadraticMeanAndRBFKernel(), 0.0, at)
Beispiel #4
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def test_probability_of_feasibility_raises_on_non_scalar_threshold(shape: ShapeLike) -> None:
    threshold = tf.ones(shape)
    with pytest.raises(ValueError):
        probability_of_feasibility(QuadraticMeanAndRBFKernel(), threshold, tf.constant([[0.0]]))
Beispiel #5
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def test_probability_of_feasibility(threshold: float, at: tf.Tensor, expected: float) -> None:
    actual = probability_of_feasibility(QuadraticMeanAndRBFKernel(), threshold, at)
    npt.assert_allclose(actual, expected, rtol=1e-4)
Beispiel #6
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def test_probability_of_feasibility_raises_on_incorrect_at_shape(shape: ShapeLike) -> None:
    at = tf.ones(shape)
    with pytest.raises(ValueError):
        probability_of_feasibility(QuadraticWithUnitVariance(), 0.0, at)
Beispiel #7
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def test_probability_of_feasibility(threshold: float, at: tf.Tensor, expected: float) -> None:
    actual = probability_of_feasibility(QuadraticWithUnitVariance(), threshold, at)
    npt.assert_allclose(actual, expected, rtol=1e-4)
Beispiel #8
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def test_probability_of_feasibility_raises_on_invalid_at_shape(shape: ShapeLike) -> None:
    at = tf.ones(shape)
    pof = probability_of_feasibility(QuadraticMeanAndRBFKernel(), 0.0)
    with pytest.raises(TF_DEBUGGING_ERROR_TYPES):
        pof(at)