List the survival learners

The ids accepted by the model argument of fit(), evaluate(), compare(), tune() and estimate().

Usage

listlearners(has_tune = FALSE)

Arguments

has_tune

Logical (default FALSE). If TRUE, return only learners with a built-in tuning grid, so that tune() works without a grid.

Value

A data frame with columns learner (the id) and tunable (whether a built-in tuning grid exists). A learner with tunable = FALSE (for example "fastgbm") can still be tuned by passing a grid to tune().

Examples

listlearners()
#>            learner tunable
#> 1            coxph   FALSE
#> 2            aalen   FALSE
#> 3           glmnet    TRUE
#> 4        selectcox    TRUE
#> 5           aftgee   FALSE
#> 6      flexsurvreg    TRUE
#> 7          bnnsurv    TRUE
#> 8            rpart    TRUE
#> 9             bart    TRUE
#> 10         xgboost    TRUE
#> 11        coxboost    TRUE
#> 12         fastgbm   FALSE
#> 13          ranger    TRUE
#> 14             rsf    TRUE
#> 15         cforest    TRUE
#> 16      blackboost    TRUE
#> 17         survsvm    TRUE
#> 18        densemlp   FALSE
#> 19            orsf    TRUE
#> 20          rpsurv   FALSE
#> 21          nbsurv   FALSE
#> 22 survmetalearner   FALSE
listlearners(has_tune = TRUE)
#>        learner tunable
#> 1       glmnet    TRUE
#> 2    selectcox    TRUE
#> 3  flexsurvreg    TRUE
#> 4      bnnsurv    TRUE
#> 5        rpart    TRUE
#> 6         bart    TRUE
#> 7      xgboost    TRUE
#> 8     coxboost    TRUE
#> 9       ranger    TRUE
#> 10         rsf    TRUE
#> 11     cforest    TRUE
#> 12  blackboost    TRUE
#> 13     survsvm    TRUE
#> 14        orsf    TRUE