def METHOD_NAME(self):
    outlier = np.ones(np.shape(self.x_test_iris[:3])) * (np.max(self.x_test_iris.flatten()) * 10.0)
    # uncertainty should increase as we go deeper into data
    self.assertTrue(
        np.mean(
            self.classifier.predict_uncertainty(outlier) > self.classifier.predict_uncertainty(self.x_test_iris[:3])
        )
        == 1.0
    )