MetricsWeighted (version 0.5.4)

multi_metric: Multiple Metrics

Description

Provides a way to create a list of metrics/scoring functions/performance measures from a parametrized function like the Tweedie deviance or the elementary scoring functions for expectiles.

Usage

multi_metric(fun, ...)

Value

A named list of functions.

Arguments

fun

A metric/scoring function/performance measure with additional parameter to be varied.

...

Further arguments passed to fun, including one varying parameter (specified by a vector).

See Also

performance.

Examples

data <- data.frame(act = 1:10, pred = c(1:9, 12))
multi <- multi_metric(fun = deviance_tweedie,
                      tweedie_p = c(0, seq(1, 3, by = 0.1)))
performance(data, actual = "act", predicted = "pred", metrics = multi)
multi <- multi_metric(fun = r_squared, deviance_function = deviance_tweedie,
                      tweedie_p = c(0, seq(1, 3, by = 0.1)))
performance(data, actual = "act", predicted = "pred", metrics = multi)
multi <- multi_metric(fun = elementary_score_expectile,
                      theta = 1:11, alpha = 0.1)
performance(data, actual = "act", predicted = "pred",
            metrics = multi, key = "theta")
multi <- multi_metric(fun = elementary_score_expectile,
                      theta = 1:11, alpha = 0.5)
performance(data, actual = "act", predicted = "pred",
            metrics = multi, key = "theta")