climpred.metrics._mape¶

climpred.metrics._mape(forecast, verif, dim=None, **metric_kwargs)[source]¶

Mean Absolute Percentage Error (MAPE).

Mean absolute error (mae) expressed as the fractional error relative to the verification data.

$MAPE = \frac{1}{n} \sum \frac{|f-o|}{|o|}$

Parameters

forecast (xarray object) – Forecast.
verif (xarray object) – Verification data.
dim (str) – Dimension(s) to perform metric over.
metric_kwargs (dict) – see mape()

Details:

minimum	0.0
maximum	∞
perfect	0.0
orientation	negative

See also

mape()

Example

>>> HindcastEnsemble.verify(metric='mape', comparison='e2o', alignment='same_verifs',
...     dim='init')
<xarray.Dataset>
Dimensions:  (lead: 10)
Coordinates:
  * lead     (lead) int32 1 2 3 4 5 6 7 8 9 10
    skill    <U11 'initialized'
Data variables:
    SST      (lead) float64 1.536 1.21 1.421 1.149 ... 1.078 1.369 1.833 1.245