## errors.calculate_errors()


Calculate forecast accuracy measures for every metric/area/fold.


Usage

``` python
errors.calculate_errors(
    forecast,
    error_horizons=(7, 14, 21, 28, 35, 42),
)
```


Works for ordinary forecasts, cross-validation forecasts, and ensembles, as long as `forecast` contains `actual` and `mae_insample`.


## Parameters


`forecast: pd.DataFrame`  
Forecast results.

`error_horizons=(7, 14, 21, 28, 35, 42)`  
Horizons to calculate error at.


## Returns


`dict`  
Dictionary of forecast accuracy measures.