code: def Kuu(inducing_variable, kernel, jitter=None):
      func = gpflow.covariances.Kuu.dispatch(
          gpflow.inducing_variables.InducingPoints,
          gpflow.kernels.Kernel,
      )
      return func(inducing_variable, kernel.base_kernel, jitter=jitter)
  
file_path: GPflow/doc/sphinx/notebooks/tailor/gp_nn.pct.py
imports: from typing import Dict, Optional, Tuple
  import numpy
  import tensorflow
  import tensorflow_datasets
  from scipy.cluster.vq import kmeans2
  import gpflow
  from gpflow.ci_utils import reduce_in_tests
  from gpflow.utilities import to_default_float
label_desc: Use image node_id 2 for calling a global function with example usage: Kuu(inducing_variable, kernel, jitter) and returns: func