Calls LiblineaR::LiblineaR from package LiblineaR.

Details

Calls LiblineaR::LiblineaR() with type = 4.

Dictionary

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

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

Traits

  • Packages: LiblineaR

  • Predict Types: response

  • Feature Types: numeric

  • Properties: multiclass, twoclass

Custom mlr3 defaults

  • epsilon:

    • Actual default: 0.01

    • Adjusted default: 0.1

    • Reason for change: Param depends on param "type" which is handled internally by choosing the mlr3 learner. The default is set to the actual default of the respective "type".

See also

Author

be-marc

Super classes

mlr3::Learner -> mlr3::LearnerClassif -> LearnerClassifLiblineaRMultiClassSVC

Methods

Public methods

Inherited methods

Method new()

Creates a new instance of this R6 class.

Usage

LearnerClassifLiblineaRMultiClassSVC$new()


Method clone()

The objects of this class are cloneable with this method.

Usage

LearnerClassifLiblineaRMultiClassSVC$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.liblinearmulticlasssvc")) print(learner)
#> <LearnerClassifLiblineaRMultiClassSVC:classif.liblinearmulticlasssvc> #> * Model: - #> * Parameters: epsilon=0.1 #> * Packages: LiblineaR #> * Predict Type: response #> * Feature types: numeric #> * Properties: multiclass, twoclass
# available parameters: learner$param_set$ids()
#> [1] "cost" "epsilon" "bias" "cross" "verbose" "wi" "findC" #> [8] "useInitC"