code: def create_model(self, fixed_noise=False):
      data = TestExactGP.create_test_data(self)
      likelihood, labels = TestExactGP.create_likelihood_and_labels(
          self
      )
      if fixed_noise:
          noise = 0.1 + 0.2 * torch.rand_like(labels)
          likelihood = FixedNoiseGaussianLikelihood(noise)
      return TestExactGP.create_model(self, data, labels, likelihood)
  
file_path: gpytorch/test/models/test_model_list.py
imports: import unittest
  import torch
  from gpytorch.likelihoods import FixedNoiseGaussianLikelihood
  from gpytorch.models import IndependentModelList
  from .test_exact_gp import TestExactGP
label_desc: Use image node_id 1 for calling the TestModelListGP obj's underlying member method code with example usage: obj.create_model(fixed_noise) and returns: TestExactGP