Esempio n. 1
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def test_load_external():
    """
    This function tests if a model that has been trained on a different computer can be loaded and used on a different
    computer.
    """

    x = np.linspace(-10.0, 10.0, 2000)
    y = x**2
    x = np.reshape(x, (x.shape[0], 1))

    estimator = MRMP()
    estimator.load_nn("saved_model")

    score_after_loading = estimator.score(x, y)
    score_on_other_machine = -24.101043

    assert np.isclose(score_after_loading, score_on_other_machine)
Esempio n. 2
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def test_save_local():
    """
    This function tests the saving and the loading of a trained model.
    """

    x = np.linspace(-10.0, 10.0, 2000)
    y = x**2

    x = np.reshape(x, (x.shape[0], 1))

    estimator = MRMP()
    estimator.fit(x=x, y=y)

    score_after_training = estimator.score(x, y)
    estimator.save_nn(save_dir="saved_test_model")

    estimator.load_nn(save_dir="saved_test_model")
    score_after_loading = estimator.score(x, y)

    assert score_after_loading == score_after_training

    shutil.rmtree("./saved_test_model")