LearnerRegrCompboost: Component-wise gradient boosting regression learner

In schalkdaniel/compboost: Efficient Component-Wise Boosting Implementation

Component-wise gradient boosting regression learner

Description

A Learner for a component-wise boosting model implemented in Compboost.

Super classes

mlr3::Learner -> compboost::LearnerCompboost -> LearnerRegrCompboost

Methods

Public methods

• LearnerRegrCompboost$new()

• LearnerRegrCompboost$clone()

Inherited methods

• mlr3::Learner$base_learner()
• mlr3::Learner$format()
• mlr3::Learner$help()
• mlr3::Learner$predict()
• mlr3::Learner$predict_newdata()
• mlr3::Learner$print()
• mlr3::Learner$reset()
• mlr3::Learner$train()
• compboost::LearnerCompboost$importance()
• compboost::LearnerCompboost$save_json()
• compboost::LearnerCompboost$selected_features()

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Method new()

Creates a new instance of this R6 class.

Usage

LearnerRegrCompboost$new()

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Method clone()

The objects of this class are cloneable with this method.

Usage

LearnerRegrCompboost$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.

Examples

task = mlr3::tsk("mtcars")
l = mlr3::lrn("regr.compboost", baselearner = "linear", iterations = 50)
l$train(task)
l$importance()

schalkdaniel/compboost documentation built on April 15, 2023, 9:03 p.m.