loss_adapt_mlr3proba: Adapt mlr3proba measures for use with survex

In survex: Explainable Machine Learning in Survival Analysis

Adapt mlr3proba measures for use with survex

Description

This function allows for usage of standardized measures from the mlr3proba package with survex.

Usage

loss_adapt_mlr3proba(measure, reverse = FALSE, ...)

Arguments

measure	a MeasureSurv object from the mlr3proba package, the object to adapt
reverse	boolean, FALSE by default, whether the metric should be reversed in order to be treated as loss (for permutational variable importance we need functions with lower values indicating better performance). If TRUE, the new metric value will be (1 - metric_value)
...	other parameters, currently ignored

Value

a function with standardized parameters (y_true, risk, surv, times) that can be used to calculate loss

Examples

if(FALSE){
  measure <- msr("surv.calib_beta")
  mlr_measure <- loss_adapt_mlr3proba(measure)
}

survex documentation built on Oct. 25, 2023, 1:06 a.m.