code: def GP_regression_std(regressor, X):
      _, std = regressor.predict(X, return_std=True)
      return np.argmax(std)
  
imports: import matplotlib.pyplot
  import numpy
  from modAL.models import ActiveLearner
  from sklearn.gaussian_process import GaussianProcessRegressor
  from sklearn.gaussian_process.kernels import RBF, WhiteKernel
label_desc: Use image node_id 1 for calling a global function with example usage: GP_regression_std(regressor, X) and returns: np