code: def predict(parameters_value, regressor_gp):
      """
      Predict by Gaussian Process Model
      """
      parameters_value = numpy.array(parameters_value).reshape(
          -1, len(parameters_value)
      )
      mu, sigma = regressor_gp.predict(
          parameters_value, return_std=True
      )
  
      return mu[0], sigma[0]
  
label_desc: Use image node_id 1 for calling a global function with example usage: predict(parameters_value, regressor_gp) and returns: mu,  sigma