mlr_learners_dens.plug.Rd
Calls plugdensity::plugin.density from package plugdensity.
This Learner can be instantiated via the
dictionary mlr_learners or with the associated
sugar function lrn()
:
mlr_learners$get("dens.plug") lrn("dens.plug")
Packages: plugdensity
Predict Types: pdf
Feature Types: integer, numeric
Properties: missings
J. Engel, Eva Herrmann and Theo Gasser (1994). An iterative bandwidth selector for kernel estimation of densities and their derivatives. Journal of Nonparametric Statistics 4, 21–34.
RaphaelS1
mlr3::Learner
-> mlr3proba::LearnerDens
-> LearnerDensPlugin
new()
Creates a new instance of this R6 class.
LearnerDensPlugin$new()
clone()
The objects of this class are cloneable with this method.
LearnerDensPlugin$clone(deep = FALSE)
deep
Whether to make a deep clone.
# stop example failing with warning if package not installed learner = suppressWarnings(mlr3::lrn("dens.plug")) print(learner)#> <LearnerDensPlugin:dens.plug> #> * Model: - #> * Parameters: list() #> * Packages: plugdensity #> * Predict Type: pdf #> * Feature types: integer, numeric #> * Properties: missings# available parameters: learner$param_set$ids()#> [1] "na.rm"