code: def get_model() -> gpflow.models.GPModel:
      return gpflow.models.GPR(
          (X, Y), kernel=gpflow.kernels.SquaredExponential()
      )
  
file_path: GPflow/notebooks/getting_started/monitoring.pct.py
imports: import os
  import warnings
  import matplotlib
  import matplotlib.pyplot
  import numpy
  import tensorflow
  import gpflow
label_desc: Use image node_id 1 for calling a global function with example usage: get_model() and returns: gpflow