solarforecastarbiter.metrics.deterministic.mean_absolute

solarforecastarbiter.metrics.deterministic.mean_absolute(obs, fx, error_fnc=<function error>)[source]

Mean absolute error (MAE).

\[\text{MAE} = 1/n \sum_{i=1}^n |\text{fx}_i - \text{obs}_i|\]
Parameters:
  • obs ((n,) array-like) – Observed values.
  • fx ((n,) array-like) – Forecasted values.
  • error_fnc (function) – A function that returns the error, default fx - obs. First argument is obs, second argument is fx.
Returns:

mae (float) – The MAE of the forecast.

Examples

Standard MAE: >>> obs = np.array([1, 2, 3, 4]) >>> fx = np.array([2, 2.04, 2, 3.96]) >>> mean_absolute(obs, fx) 0.52

MAE with a deadband: >>> error_fnc = partial(error_deadband, deadband=0.05) >>> mean_absolute(obs, fx, error_fnc=error_fnc) 0.5