Calls pendensity::pendensity from package pendensity.

Dictionary

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

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

Traits

  • Packages: pendensity

  • Predict Types: pdf, cdf

  • Feature Types: integer, numeric

  • Properties:

References

Density Estimation with a Penalized Mixture Approach, Schellhase C. and Kauermann G. (2012), Computational Statistics 27 (4), p. 757-777.

See also

Author

RaphaelS1

Super classes

mlr3::Learner -> mlr3proba::LearnerDens -> LearnerDensPenalized

Methods

Public methods

Inherited methods

Method new()

Creates a new instance of this R6 class.

Usage

LearnerDensPenalized$new()


Method clone()

The objects of this class are cloneable with this method.

Usage

LearnerDensPenalized$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("dens.pen")) print(learner)
#> <LearnerDensPenalized:dens.pen> #> * Model: - #> * Parameters: list() #> * Packages: pendensity #> * Predict Type: pdf #> * Feature types: integer, numeric #> * Properties: -
# available parameters: learner$param_set$ids()
#> [1] "base" "no.base" "max.iter" "lambda0" "q" #> [6] "sort" "with.border" "m" "eps"