class_docstr: This class tests the GPy Gaussian Process classifier.
code: def test_predict_unc(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
      )
  
file_path: adversarial-robustness-toolbox/tests/estimators/classification/test_GPy.py
imports: from __future__ import absolute_import, division, print_function, unicode_literals
  import logging
  import unittest
  import numpy
  import GPy
  from art.estimators.classification.GPy import GPyGaussianProcessClassifier
  from tests.utils import TestBase, master_seed
label_desc: Use image node_id 4 for calling the TestGPyGaussianProcessClassifier obj's underlying member method code with example usage: obj.test_predict_unc() without return types