code: def compute_average_prediction_error(dataset, preds):
      """Computes the prediction error."""
      return (np.linalg.norm(dataset[4] - preds) ** 2) / len(dataset[4])
  
file_path: dragonfly/dragonfly/gp/unittest_gp_core.py
imports: from __future__ import absolute_import
  from __future__ import division
  from ..utils.base_test_class import BaseTestClass, execute_tests
  import numpy
  from .gp_core import GP
  from .kernel import SEKernel
label_desc: Use image node_id 3 for calling a global function with example usage: compute_average_prediction_error(dataset, preds) and returns: unknown