code: def mae(x_values, y_values, drop_missing = True):
      '''Mean absolute/unsigned error.'''
      num_points = len(x_values)
      assert(num_points == len(y_values) and num_points > 0)
      return numpy.sum(numpy.apply_along_axis(numpy.abs, 0, numpy.subtract(x_values, y_values))) / float(num_pointsf mae(x_values, y_values, drop_missing = True):
      '''Mean absolute/unsigned error.'''
      num_points = len(x_values)
      assert(num_points == len(y_values) and num_points > 0)
      return numpy.sum(numpy.apply_along_axis(numpy.abs, 0, numpy.subtract(x_values, y_values))) / float(num_points)
docs: Mean absolute/unsigned error.