code: def plotPredictions(ax, model, color, label=None):
      Xtest = np.sort(readCsvFile("data/snelson_test_inputs.dat"))
      predMean, predVar = model.predict_y(Xtest)
      ax.plot(Xtest, predMean, color, label=label)
      ax.plot(Xtest, predMean + 2.0 * np.sqrt(predVar), color)
      ax.plot(Xtest, predMean - 2.0 * np.sqrt(predVar), color)
  
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 8 for calling a global function with example usage: plotPredictions(ax, model, color, label) without return types