mlr3_gKRLS function

mlr3 integration

This documents LearnerRegrBam and LearnerClassifBam that allow for mgcv::bam to be used in mlr3 without explicitly loading mlr3extralearners. See ml_gKRLS for examples of how to use this and mlr3 for discussion of the "Learner" objects.

References

Wood, Simon N and Goude, Yannig and Simon Shaw. 2015. "Generalized Additive Models for Large Data Sets." Journal of the Royal Statistical Society: Series C (Applied Statistics) 64(1):139-155.

Super classes

mlr3::Learner -> mlr3::LearnerRegr -> LearnerRegrBam

Methods

Public methods

• list("LearnerRegrBam$new()")

• list("LearnerRegrBam$clone()")

Method new()

Creates a new instance of this [R6][R6::R6Class] class.

Usage

LearnerRegrBam$new()

Method clone()

The objects of this class are cloneable with this method.

Usage

LearnerRegrBam$clone(deep = FALSE)

Arguments

• deep: Whether to make a deep clone.

Super classes

mlr3::Learner -> mlr3::LearnerClassif -> LearnerClassifBam

Methods

Public methods

• list("LearnerClassifBam$new()")

• list("LearnerClassifBam$clone()")

Method new()

Creates a new instance of this [R6][R6::R6Class] class.

Usage

LearnerClassifBam$new()

Method clone()

The objects of this class are cloneable with this method.

Usage

LearnerClassifBam$clone(deep = FALSE)

Arguments

• deep: Whether to make a deep clone.