mlr_learners_dens.hist: Histogram Density Estimator

In mlr3proba: Probabilistic Supervised Learning for 'mlr3'

Histogram Density Estimator

Description

Calls graphics::hist() and the result is coerced to a distr6::Distribution.

Dictionary

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

LearnerDensHistogram$new()
mlr_learners$get("dens.hist")
lrn("dens.hist")

Meta Information

• Type: "dens"

• Predict Types: pdf, cdf, distr

• Feature Types: integer, numeric

• Properties: -

• Packages: mlr3 mlr3proba distr6

Super classes

mlr3::Learner -> mlr3proba::LearnerDens -> LearnerDensHistogram

Methods

Public methods

• LearnerDensHistogram$new()

• LearnerDensHistogram$clone()

Inherited methods

• mlr3::Learner$base_learner()

• 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

LearnerDensHistogram$new()

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Method clone()

The objects of this class are cloneable with this method.

Usage

LearnerDensHistogram$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.

See Also

Other density estimators: mlr_learners_dens.kde

mlr3proba documentation built on April 25, 2022, 5:07 p.m.