get_metrics.forecast_sample {scoringutils}R Documentation

Get default metrics for sample-based forecasts

Description

For sample-based forecasts, the default scoring rules are:

Usage

## S3 method for class 'forecast_sample'
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

Input format

metrics-sample.png

Overview of required input format for sample-based forecasts

See Also

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

Examples

get_metrics(example_sample_continuous, exclude = "mad")

[Package scoringutils version 2.1.0 Index]