code: def compute_average_sq_prediction_error(Y1, Y2):
      """Returns the average prediction error."""
      return np.linalg.norm(np.array(Y1) - np.array(Y2)) ** 2 / len(Y1)
  
imports: from __future__ import print_function
  from __future__ import division
  import numpy
  from scipy.sparse import dok_matrix
  from scipy.linalg import solve_triangular
label_desc: Use image node_id 7 for calling a global function with example usage: compute_average_sq_prediction_error(Y1, Y2) and returns: unknown