PipeOpmissRanger {NADIA}R Documentation

PipeOpmissRanger

Description

Implements missRanger methods as mlr3 pipeline, more about missRanger autotune_missRanger.

Input and Output Channels

Input and output channels are inherited from PipeOpImpute.

Parameters

The parameters include inherited from ['PipeOpImpute'], as well as:

Super classes

mlr3pipelines::PipeOp -> mlr3pipelines::PipeOpImpute -> missRanger_imputation

Methods

Public methods

Inherited methods

Method new()

Usage
PipeOpmissRanger$new(
  id = "impute_missRanger_B",
  maxiter = 10,
  random.seed = 123,
  mtry = NULL,
  num.trees = 500,
  pmm.k = 5,
  optimize = FALSE,
  iter = 10,
  out_file = NULL
)

Method clone()

The objects of this class are cloneable with this method.

Usage
PipeOpmissRanger$clone(deep = FALSE)
Arguments
deep

Whether to make a deep clone.

Examples



 # Using debug learner for example purpose

  graph <- PipeOpmissRanger$new() %>>% LearnerClassifDebug$new()
  graph_learner <- GraphLearner$new(graph)

  # Task with NA

  resample(tsk("pima"), graph_learner, rsmp("cv", folds = 3))


[Package NADIA version 0.4.2 Index]