code: def getKernel():
      return gpflow.kernels.SquaredExponential()
  
imports: import matplotlib.pyplot
  from FITCvsVFE import getTrainingTestData, plotComparisonFigure, plotPredictions, printModelParameters, repeatMinimization, stretch
  import gpflow
  from gpflow.ci_utils import reduce_in_tests
label_desc: Use image node_id 1 for calling a global function with example usage: getKernel() and returns: gpflow