Calls extraTrees::extraTrees from package extraTrees.

Dictionary

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

mlr_learners$get("classif.extratrees")
lrn("classif.extratrees")

Traits

  • Packages: extraTrees

  • Predict Types: response, prob

  • Feature Types: integer, numeric

  • Properties: multiclass, twoclass, weights

See also

Author

be-marc

Super classes

mlr3::Learner -> mlr3::LearnerClassif -> LearnerClassifExtraTrees

Methods

Public methods

Inherited methods

Method new()

Creates a new instance of this R6 class.

Usage

LearnerClassifExtraTrees$new()


Method clone()

The objects of this class are cloneable with this method.

Usage

LearnerClassifExtraTrees$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("classif.extratrees")) print(learner)
#> <LearnerClassifExtraTrees:classif.extratrees> #> * Model: - #> * Parameters: list() #> * Packages: extraTrees #> * Predict Type: response #> * Feature types: integer, numeric #> * Properties: multiclass, twoclass, weights
# available parameters: learner$param_set$ids()
#> [1] "ntree" "mtry" "nodesize" #> [4] "numRandomCuts" "evenCuts" "numThreads" #> [7] "subsetSizes" "subsetGroups" "tasks" #> [10] "probOfTaskCuts" "numRandomTaskCuts" "na.action"