Classification Fast Nearest Neighbor Search Learner

Calls FNN::knn from package FNN.

Dictionary

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

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

Traits

• Packages: FNN

• Predict Types: response, prob

• Feature Types: integer, numeric

• Properties: multiclass, twoclass

See also

Dictionary of Learners: mlr3::mlr_learners

Author

be-marc

Super classes

mlr3::Learner -> mlr3::LearnerClassif -> LearnerClassifFNN

Methods

Public methods

• LearnerClassifFNN$new()

• LearnerClassifFNN$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

LearnerClassifFNN$new()

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Method clone()

The objects of this class are cloneable with this method.

Usage

LearnerClassifFNN$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.fnn"))
print(learner)
#> <LearnerClassifFNN:classif.fnn>
#> * Model: -
#> * Parameters: list()
#> * Packages: FNN
#> * Predict Type: response
#> * Feature types: integer, numeric
#> * Properties: multiclass, twoclass

# available parameters:
learner$param_set$ids()
#> [1] "k"         "algorithm"