mlr_learners_dens.plug: Density Plug-In Kernel Learner

In mlr3learners/mlr3learners.plugdensity: Learners from the {plugdensity} package for 'mlr3'

Description

A mlr3proba::LearnerDens implementing plug-in KDE from package plugdensity. Calls plugdensity::plugin.density().

Dictionary

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

mlr_learners$get("dens.plug")
lrn("dens.plug")

Super classes

mlr3::Learner -> mlr3proba::LearnerDens -> LearnerDensPlugin

Methods

Public methods

• LearnerDensPlugin$new()

• LearnerDensPlugin$clone()

Inherited methods

• mlr3::Learner$format()

• mlr3::Learner$help()

• mlr3::Learner$predict()

• mlr3::Learner$predict_newdata()

• mlr3::Learner$print()

• mlr3::Learner$reset()

• mlr3::Learner$train()

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Method new()

Creates a new instance of this R6 class.

Usage

LearnerDensPlugin$new()

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Method clone()

The objects of this class are cloneable with this method.

Usage

LearnerDensPlugin$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.

References

J. Engel, Eva Herrmann and Theo Gasser (1994). An iterative bandwidth selector for kernel estimation of densities and their derivatives. Journal of Nonparametric Statistics 4, 21–34.

See Also

Dictionary of Learners: mlr3::mlr_learners

Examples

if (requireNamespace("plugdensity")) {
  learner = mlr3::lrn("dens.plug")
  print(learner)

  # available parameters:
  learner$param_set$ids()
}

mlr3learners/mlr3learners.plugdensity documentation built on July 31, 2020, 9:31 a.m.