Regression Gradient Boosted Decision Trees Auto Learner

Regression auto learner.

Value

Object of class R6::R6Class and LearnerRegrAutoCatboost.

Super classes

mlr3::Learner -> LearnerAuto -> LearnerRegrAuto -> LearnerRegrAutoCatboost

Methods

Public methods

• LearnerRegrAutoCatboost$new()

• LearnerRegrAutoCatboost$clone()

Inherited methods

• mlr3::Learner$base_learner()
• mlr3::Learner$configure()
• mlr3::Learner$format()
• mlr3::Learner$help()
• mlr3::Learner$predict()
• mlr3::Learner$predict_newdata()
• mlr3::Learner$print()
• mlr3::Learner$reset()
• mlr3::Learner$selected_features()
• mlr3::Learner$train()
• LearnerAuto$encapsulate()

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LearnerRegrAutoCatboost$new()

Creates a new instance of this R6 class.

Usage

LearnerRegrAutoCatboost$new(id = "regr.auto_catboost", rush = NULL)

Arguments

id

(character(1))
Identifier for the new instance.

rush

rush::Rush
Rush instance.

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LearnerRegrAutoCatboost$clone()

The objects of this class are cloneable with this method.

Usage

LearnerRegrAutoCatboost$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.

Examples

if (mlr3misc::require_namespaces(c("mlr3extralearners", "catboost"), quietly = TRUE)) {
  learner = lrn("regr.auto_catboost")
  learner
}