code: def create_model(self, train_x, train_y, likelihood):
      model = GPClassificationModel(train_x)
      return model
  
imports: import unittest
  import torch
  import gpytorch
  from gpytorch.models import ApproximateGP
  from gpytorch.test.model_test_case import VariationalModelTestCase
  from gpytorch.variational import CholeskyVariationalDistribution, VariationalStrategy
label_desc: Use image node_id 1 for calling the TestVariationalGP obj's underlying member method code with example usage: obj.create_model(train_x, train_y, likelihood) and returns: model