PipeOpVIM_HD: PipeOpVIM_HD

In NADIA: NA Data Imputation Algorithms

PipeOpVIM_HD

Description

Implements Hot Deck methods as mlr3 pipeline more about VIM_HD autotune_VIM_hotdeck

Input and Output Channels

Input and output channels are inherited from PipeOpImpute.

Parameters

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

• id :: character(1)
  Identifier of resulting object, default "imput_VIM_HD".

• out_fill :: character(1)
  Output log file location. If file already exists log message will be added. If NULL no log will be produced, default NULL.

Super classes

mlr3pipelines::PipeOp -> mlr3pipelines::PipeOpImpute -> VIM_HD_imputation

Methods

Public methods

• PipeOpVIM_HD$new()

• PipeOpVIM_HD$clone()

Inherited methods

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

---

Method new()

Usage

PipeOpVIM_HD$new(id = "impute_VIM_HD_B", out_file = NULL)

---

Method clone()

The objects of this class are cloneable with this method.

Usage

PipeOpVIM_HD$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.

Examples

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

  # Task with NA

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

NADIA documentation built on Oct. 3, 2022, 1:05 a.m.