code: def printModelParameters(model):
      print(
          "  Likelihood variance = {:.5g}".format(
              model.likelihood.variance.numpy()
          )
      )
      print(
          "  Kernel variance     = {:.5g}".format(
              model.kernel.variance.numpy()
          )
      )
      print(
          "  Kernel lengthscale  = {:.5g}".format(
              model.kernel.lengthscales.numpy()
          )
      )
  
file_path: GPflow/doc/sphinx/notebooks/theory/FITCvsVFE.py
imports: import numpy
  import tensorflow
  import gpflow
  from gpflow.ci_utils import reduce_in_tests
label_desc: Use image node_id 7 for calling a global function with example usage: printModelParameters(model) without return types