PipeOpVIM_IRMI {NADIA}R Documentation

PipeOpVIM_IRMI

Description

Implements IRMI methods as mlr3 pipeline, more about VIM_IRMI autotune_VIM_Irmi.

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 -> VIM_IRMI_imputation

Methods

Public methods

Inherited methods

Method new()

Usage
PipeOpVIM_IRMI$new(
  id = "impute_VIM_IRMI_B",
  eps = 5,
  maxit = 100,
  step = FALSE,
  robust = FALSE,
  init.method = "kNN",
  force = FALSE,
  out_file = NULL
)

Method clone()

The objects of this class are cloneable with this method.

Usage
PipeOpVIM_IRMI$clone(deep = FALSE)
Arguments
deep

Whether to make a deep clone.

Examples


  graph <- PipeOpVIM_IRMI$new() %>>% mlr3learners::LearnerClassifGlmnet$new()
  graph_learner <- GraphLearner$new(graph)

  # Task with NA

  resample(TaskClassif$new('id',tsk('pima')$data(rows=1:100),
  'diabetes'), graph_learner, rsmp("cv",folds=2))


[Package NADIA version 0.4.2 Index]