mlr_learners_dens.mixed: Density Mixed Data Kernel Learner

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

Description

A mlr3proba::LearnerDens implementing npudens from package np. Calls np::npudens().

Dictionary

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

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

Super classes

mlr3::Learner -> mlr3proba::LearnerDens -> LearnerDensMixed

Methods

Public methods

• LearnerDensMixed$new()

• LearnerDensMixed$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

LearnerDensMixed$new()

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Method clone()

The objects of this class are cloneable with this method.

Usage

LearnerDensMixed$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.

References

Li, Q. and J.S. Racine (2003), “Nonparametric estimation of distributions with categorical and continuous data,” Journal of Multivariate Analysis, 86, 266-292.

See Also

Dictionary of Learners: mlr3::mlr_learners

Examples

if (requireNamespace("np")) {
  learner = mlr3::lrn("dens.mixed")
  print(learner)

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

mlr3learners/mlr3learners.np documentation built on July 29, 2020, 3:17 a.m.