Regression GLM with Elastic Net Regularization Auto Learner

Regression auto learner.

Super classes

mlr3::Learner -> mlr3automl::LearnerAuto -> mlr3automl::LearnerRegrAuto -> LearnerRegrAutoGlmnet

Methods

Public methods

• LearnerRegrAutoGlmnet$new()

• LearnerRegrAutoGlmnet$clone()

Inherited methods

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

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Method new()

Creates a new instance of this R6 class.

Usage

LearnerRegrAutoGlmnet$new(id = "regr.auto_glmnet", rush = NULL)

Arguments

id

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

rush

rush::Rush
Rush instance.

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Method clone()

The objects of this class are cloneable with this method.

Usage

LearnerRegrAutoGlmnet$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.