PipeOpTaskRegrSurv

Transform TaskRegr to TaskSurv.

Input and Output Channels

Input and output channels are inherited from PipeOpTaskTransformer.

The output is the input TaskRegr transformed to a TaskSurv.

State

The $state is a named list with the $state elements inherited from PipeOpTaskTransformer.

Parameters

The parameters are

• status :: (numeric(1))
  If NULL then assumed no censoring in the dataset. Otherwise should be a vector of 0/1s of same length as the prediction object, where 1 is dead and 0 censored.

See also

Other PipeOps: PipeOpPredTransformer, PipeOpTaskTransformer, PipeOpTransformer, mlr_pipeops_survavg, mlr_pipeops_trafopred_classifsurv_IPCW, mlr_pipeops_trafopred_classifsurv_disctime, mlr_pipeops_trafopred_regrsurv, mlr_pipeops_trafopred_survregr, mlr_pipeops_trafotask_survclassif_IPCW, mlr_pipeops_trafotask_survclassif_disctime, mlr_pipeops_trafotask_survregr

Other Transformation PipeOps: mlr_pipeops_trafopred_classifsurv_IPCW, mlr_pipeops_trafopred_classifsurv_disctime, mlr_pipeops_trafopred_regrsurv, mlr_pipeops_trafopred_survregr, mlr_pipeops_trafotask_survclassif_IPCW, mlr_pipeops_trafotask_survclassif_disctime, mlr_pipeops_trafotask_survregr

Super classes

mlr3pipelines::PipeOp -> mlr3proba::PipeOpTransformer -> mlr3proba::PipeOpTaskTransformer -> PipeOpTaskRegrSurv

Methods

Public methods

• PipeOpTaskRegrSurv$new()

• PipeOpTaskRegrSurv$clone()

Inherited methods

• mlr3pipelines::PipeOp$help()
• mlr3pipelines::PipeOp$predict()
• mlr3pipelines::PipeOp$print()
• mlr3pipelines::PipeOp$train()

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Method new()

Creates a new instance of this R6 class.

Usage

PipeOpTaskRegrSurv$new(id = "trafotask_regrsurv")

Arguments

id

(character(1))
Identifier of the resulting object.

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Method clone()

The objects of this class are cloneable with this method.

Usage

PipeOpTaskRegrSurv$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.

Examples

if (FALSE) { # \dontrun{
  library(mlr3)
  library(mlr3pipelines)

  task = tsk("boston_housing")
  po = po("trafotask_regrsurv")

  # assume no censoring
  new_task = po$train(list(task_regr = task, task_surv = NULL))[[1]]
  print(new_task)

  # add censoring
  task_surv = tsk("rats")
  task_regr = po("trafotask_survregr", method = "omit")$train(list(task_surv, NULL))[[1]]
  print(task_regr)
  new_task = po$train(list(task_regr = task_regr, task_surv = task_surv))[[1]]
  new_task$truth()
  task_surv$truth()
} # }