code: def feature_ranking(score):
      """
      Rank features in ascending order according to their laplacian scores, the smaller the laplacian score is, the more
      important the feature is
      """
      idx = np.argsort(score, 0)
      return idx
  
imports: import numpy
  from scipy.sparse import *
  from skfeature.utility.construct_W import construct_W
label_desc: Use image node_id 2 for calling a global function with example usage: feature_ranking(score) and returns: idx