Nominal forecasts are a form of categorical forecasts where the possible outcomes that the observed values can assume are not ordered. In that sense, Nominal forecasts represent a generalisation of binary forecasts.
Usage
as_forecast_nominal(
data,
forecast_unit = NULL,
observed = NULL,
predicted = NULL,
predicted_label = NULL
)Arguments
- data
A data.frame (or similar) with predicted and observed values. See the details section of
as_forecast()for additional information on required input formats.- forecast_unit
(optional) Name of the columns in
data(after any renaming of columns) that denote the unit of a single forecast. Seeget_forecast_unit()for details. IfNULL(the default), all columns that are not required columns are assumed to form the unit of a single forecast. If specified, all columns that are not part of the forecast unit (or required columns) will be removed.- observed
(optional) Name of the column in
datathat contains the observed values. This column will be renamed to "observed".- predicted
(optional) Name of the column in
datathat contains the predicted values. This column will be renamed to "predicted".- predicted_label
(optional) Name of the column in
datathat denotes the outcome to which a predicted probability corresponds to. This column will be renamed to "predicted_label". Only applicable to nominal forecasts.
See also
Other functions to create forecast objects:
as_forecast,
as_forecast_binary(),
as_forecast_point(),
as_forecast_quantile(),
as_forecast_sample()