docstr: Checks approximate samples from the model against the ground truth.
docstr_tok: ["Checks","approximate","samples","from","the","model","against","the","ground","truth","."]
code: def testHMC(self):
      """Checks approximate samples from the model against the ground truth."""
      model = ill_conditioned_gaussian.IllConditionedGaussian(
          ndims=10,
          gamma_shape_parameter=2.0,
          seed=tfp_test_util.test_seed(sampler_type="integer"),
      )
  
      self.validate_ground_truth_using_hmc(
          model,
          num_chains=4,
          num_steps=2000,
          num_leapfrog_steps=3,
          step_size=0.5,
          seed=tfp_test_util.test_seed(),
      )
  
imports: from tensorflow_probability.python.internal import test_util
  from inference_gym.internal import test_util
  from inference_gym.targets import ill_conditioned_gaussian
label_desc: Use image node_id 2 for calling the IllConditionedGaussianTest obj's underlying member method code with example usage: obj.testHMC() without return types