Calls earth::earth from package earth.

Details

Methods for variance estimations are not yet implemented.

Dictionary

This Learner can be instantiated via the dictionary mlr_learners or with the associated sugar function lrn():

mlr_learners$get("regr.earth")
lrn("regr.earth")

Traits

  • Packages: earth

  • Predict Types: response, se

  • Feature Types: numeric, factor, integer

  • Properties: weights

References

Stephen Milborrow (2014) Earth: multivariate adaptive regression spline models R package version 3 https://cran.r-project.org/web/packages/earth/earth.pdf

Jerome H. Friedman (1991) Multivariate Adaptive Regression Splines The Annals of Statistics https://projecteuclid.org/download/pdf_1/euclid.aos/1176347963

See also

Author

pkopper

Super classes

mlr3::Learner -> mlr3::LearnerRegr -> LearnerRegrEarth

Methods

Public methods

Inherited methods

Method new()

Creates a new instance of this R6 class.

Usage

LearnerRegrEarth$new()


Method clone()

The objects of this class are cloneable with this method.

Usage

LearnerRegrEarth$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.

Examples

# stop example failing with warning if package not installed learner = suppressWarnings(mlr3::lrn("regr.earth")) print(learner)
#> <LearnerRegrEarth:regr.earth> #> * Model: - #> * Parameters: list() #> * Packages: earth #> * Predict Type: response #> * Feature types: numeric, factor, integer #> * Properties: weights
# available parameters: learner$param_set$ids()
#> [1] "wp" "offset" "keepxy" "trace" #> [5] "degree" "penalty" "nk" "thresh" #> [9] "minspan" "endspan" "newvar.penalty" "fast.k" #> [13] "fast.beta" "linpreds" "allowed" "pmethod" #> [17] "nprune" "nfold" "ncross" "stratify" #> [21] "varmod.method" "varmod.exponent" "varmod.conv" "varmod.clamp" #> [25] "varmod.minspan" "Scale.y" "Adjust.endspan" "Auto.linpreds" #> [29] "Force.weights" "Use.beta.cache" "Force.xtx.prune" "Get.leverages" #> [33] "Exhaustive.tol"