colour.utilities.metric_mse

colour.utilities.metric_mse(a, b)[source]

Computes the mean squared error (MSE) or mean squared deviation (MSD) between given array_like \(a\) and \(b\) variables.

Parameters:
  • a (array_like) – \(a\) variable.
  • b (array_like) – \(b\) variable.
Returns:

Mean squared error (MSE).

Return type:

float

References

[Wikipedia2003c]

Examples

>>> a = np.array([0.48222001, 0.31654775, 0.22070353])
>>> b = a * 0.9
>>> metric_mse(a, b)  # doctest: +ELLIPSIS
0.0012714...