def METHOD_NAME(self):
    grads = self.classifier.class_gradient(self.x_test_iris[0:1], int(self.y_test_iris_binary[0:1]))
    # grads with given seed should be [[[2.25244234e-11  5.63282695e-11 -1.74214328e-11  1.21877914e-11]]]
    # we test roughly: amount of positive/negative and largest gradient
    self.assertTrue(np.sum(grads < 0.0) == 1.0)
    self.assertTrue(np.sum(grads > 0.0) == 3.0)
    self.assertTrue(np.argmax(grads) == 1)