code: def test_8_keras_iris_vector_unbounded(self):
      classifier = get_tabular_classifier_kr()
  
      # Recreate a classifier without clip values
      classifier = KerasClassifier(
          model=classifier._model, use_logits=False, channels_first=True
      )
      attack = SaliencyMapMethod(classifier, theta=1, verbose=False)
      x_test_iris_adv = attack.generate(self.x_test_iris)
      self.assertFalse((self.x_test_iris == x_test_iris_adv).all())
  
imports: from __future__ import absolute_import, division, print_function, unicode_literals
  import logging
  import unittest
  import numpy
  from art.attacks.evasion.saliency_map import SaliencyMapMethod
  from art.estimators.classification.classifier import ClassGradientsMixin
  from art.estimators.classification.keras import KerasClassifier
  from art.estimators.estimator import BaseEstimator
  from art.utils import get_labels_np_array, to_categorical
  from tests.attacks.utils import backend_test_classifier_type_check_fail
  from tests.utils import TestBase, get_image_classifier_kr, get_image_classifier_pt, get_image_classifier_tf, get_tabular_classifier_kr, get_tabular_classifier_pt, get_tabular_classifier_tf
label_desc: Use image node_id 6 for calling the TestSaliencyMap obj's underlying member method code with example usage: obj.test_8_keras_iris_vector_unbounded() without return types