code: def test_objectmapper_kernels(self):
      df = pdml.ModelFrame([])
      dgp = df.gaussian_process
  
      self.assertIs(dgp.kernels.Kernel, gp.kernels.Kernel)
      self.assertIs(dgp.kernels.Sum, gp.kernels.Sum)
      self.assertIs(dgp.kernels.Product, gp.kernels.Product)
      self.assertIs(
          dgp.kernels.Exponentiation, gp.kernels.Exponentiation
      )
      self.assertIs(
          dgp.kernels.ConstantKernel, gp.kernels.ConstantKernel
      )
      self.assertIs(dgp.kernels.WhiteKernel, gp.kernels.WhiteKernel)
      self.assertIs(dgp.kernels.RBF, gp.kernels.RBF)
      self.assertIs(dgp.kernels.Matern, gp.kernels.Matern)
      self.assertIs(
          dgp.kernels.RationalQuadratic, gp.kernels.RationalQuadratic
      )
      self.assertIs(
          dgp.kernels.ExpSineSquared, gp.kernels.ExpSineSquared
      )
      self.assertIs(dgp.kernels.DotProduct, gp.kernels.DotProduct)
      self.assertIs(
          dgp.kernels.PairwiseKernel, gp.kernels.PairwiseKernel
      )
      self.assertIs(
          dgp.kernels.CompoundKernel, gp.kernels.CompoundKernel
      )
      self.assertIs(
          dgp.kernels.Hyperparameter, gp.kernels.Hyperparameter
      )
  
file_path: pandas-ml/pandas_ml/skaccessors/test/test_gaussian_process.py
imports: import numpy
  import sklearn.gaussian_process
  import pandas_ml
  import pandas_ml.util.testing
label_desc: Use image node_id 3 for calling the TestGaussianProcess obj's underlying member method code with example usage: obj.test_objectmapper_kernels() without return types