## forecast.run_single_forecast()


Run a forecast for one metric and area.


Usage

``` python
forecast.run_single_forecast(
    forecast_function,
    train,
    params,
    metric,
    area,
    test=None,
    horizon=None,
    seed_parts=None
)
```


Filters the full training and optional test datasets to one metric/area series and runs the selected forecasting function.


## Parameters


`forecast_function: prophet | arima | snaive`  
Forecasting function to run.

`train: pd.DataFrame`  
Historic data used to train the model.

`params: ProphetParams | ARIMAParams | SNaiveParams | dict`  
Parameters for the selected forecasting model. Can be one parameter object used for all metrics, or a dictionary mapping metric names to parameter objects.

`metric: str`  
Name of metric to forecast.

`area: str`  
Name of area to forecast.

`test: pd.DataFrame = None`  
Held-out data to forecast and later compare against. If None, provide `horizon` instead,

`horizon: int = None`  
Number of days to forecast after the final training date. If None, provide `test` instead.

`seed_parts: tuple | None = None`  
Values used to create a deterministic random seed for Prophet. Ignored for forecasting functions other than Prophet.


## Returns


`forecast: pd.DataFrame`  
Forecast results.