class_docstr: This class tests the GPy Gaussian Process classifier.
code: def test_loss_gradient(self):
      grads = self.classifier.loss_gradient(
          self.x_test_iris[0:1], 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) == 3.0)
      self.assertTrue(np.sum(grads > 0.0) == 1.0)
      self.assertTrue(np.argmax(grads) == 2)
  
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 5 for calling the TestGPyGaussianProcessClassifier obj's underlying member method code with example usage: obj.test_loss_gradient() without return types