get_metrics.forecast_nominal: Get default metrics for nominal forecasts

In epiforecasts/scoringutils: Utilities for Scoring and Assessing Predictions

Get default metrics for nominal forecasts

Description

For nominal forecasts, the default scoring rule is:

• "log_score" = logs_categorical()

Usage

## S3 method for class 'forecast_nominal'
get_metrics(x, select = NULL, exclude = NULL, ...)

Arguments

x	A forecast object (a validated data.table with predicted and observed values, see as_forecast_binary()).
select	A character vector of scoring rules to select from the list. If select is NULL (the default), all possible scoring rules are returned.
exclude	A character vector of scoring rules to exclude from the list. If select is not NULL, this argument is ignored.
...	unused

See Also

Other get_metrics functions: get_metrics(), get_metrics.forecast_binary(), get_metrics.forecast_ordinal(), get_metrics.forecast_point(), get_metrics.forecast_quantile(), get_metrics.forecast_sample(), get_metrics.scores()

Examples

get_metrics(example_nominal)

epiforecasts/scoringutils documentation built on Dec. 11, 2024, 11:12 a.m.