code: def test_mse(self):
      actual = np.array([0, 1, 2, 3])
      predicted = np.array([3, 2, 1, 0])
      self.assertEqual(5, self.eval(objectives.mse(actual, predicted)))
  
      actual = asfloat(
          np.array(
              [
                  [0, 1],
                  [2, 3],
                  [4, 5],
              ]
          )
      )
      predicted = asfloat(
          np.array(
              [
                  [5, 4],
                  [3, 2],
                  [1, 0],
              ]
          )
      )
      self.assertAlmostEqual(
          asfloat(70 / 6.0),
          self.eval(objectives.mse(actual, predicted)),
          places=3,
      )
  
file_path: neupy/tests/algorithms/gd/test_objectives.py
imports: import numpy
  from neupy.utils import asfloat
  from neupy.algorithms.gd import objectives
  from base import BaseTestCase
label_desc: Use image node_id 1 for calling the ErrorFuncTestCase obj's underlying member method code with example usage: obj.test_mse() without return types