Select metrics from a list of functions — select

Helper function to return only the scoring rules selected by the user from a list of possible functions.

Usage

select_metrics(metrics, select = NULL, exclude = NULL)

Arguments

metrics: A list of scoring functions.
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.

Value

A list of scoring functions.

Examples

select_metrics(
  metrics = get_metrics(example_binary),
  select = "brier_score"
)
#> $brier_score
#> function (observed, predicted) 
#> {
#>     assert_input_binary(observed, predicted)
#>     observed <- as.numeric(observed) - 1
#>     brierscore <- (observed - predicted)^2
#>     return(brierscore)
#> }
#> <bytecode: 0x56416acdd598>
#> <environment: namespace:scoringutils>
#> 
select_metrics(
  metrics = get_metrics(example_binary),
  exclude = "log_score"
)
#> $brier_score
#> function (observed, predicted) 
#> {
#>     assert_input_binary(observed, predicted)
#>     observed <- as.numeric(observed) - 1
#>     brierscore <- (observed - predicted)^2
#>     return(brierscore)
#> }
#> <bytecode: 0x56416acdd598>
#> <environment: namespace:scoringutils>
#>