code: def __init__(self, train_x, train_y, likelihood):
      super().__init__(train_x, train_y, likelihood)
      self.mean_module = gpytorch.means.ConstantMean(
          batch_shape=train_x.shape[:-2]
      )
      self.covar_module = gpytorch.kernels.ScaleKernel(
          gpytorch.kernels.RBFKernel()
      )
  
file_path: gpytorch/test/mlls/test_leave_one_out_pseudo_likelihood.py
imports: import math
  import unittest
  import torch
  import gpytorch
label_desc: Use image node_id 1 to create a new ExactGPModel object from inherited base classes: gpytorch.models with example: obj = ExactGPModel(train_x, train_y, likelihood)