R: Visualization of fitted 'LearnerSurv' objects

plot.LearnerSurv {mlr3proba} | R Documentation

## Visualization of fitted `LearnerSurv` objects

### Description

Wrapper around `predict.LearnerSurv` and `plot.VectorDistribution`.

### Usage

    ## S3 method for class 'LearnerSurv'
    plot(
      x,
      task,
      fun = c("survival", "pdf", "cdf", "quantile", "hazard", "cumhazard"),
      row_ids = NULL,
      newdata,
      ...
    )

### Arguments

`x` | (LearnerSurv)
`task` | (TaskSurv)
`fun` | (`character`) Passed to `distr6::plot.VectorDistribution`
`row_ids` | (`integer()`) Passed to `Learner$predict`
`newdata` | (`data.frame()`) If not missing `Learner$predict_newdata` is called instead of `Learner$predict`.
`...` | Additional arguments passed to `distr6::plot.VectorDistribution`

### Examples

    ## Not run:
    library(mlr3)
    task = tsk("rats")

    # Prediction Error Curves for prediction object
    learn = lrn("surv.coxph")
    learn$train(task)

    plot(learn, task, "survival", ind = 10)
    plot(learn, task, "survival", row_ids = 1:5)
    plot(learn, task, "survival", newdata = task$data()[1:5, ])
    plot(learn, task, "survival", newdata = task$data()[1:5, ], ylim = c(0, 1))

    ## End(Not run)

[Package mlr3proba version 0.4.0 Index]