mlr_learners_regr.ksvm: Regression Kernlab Support Vector Machine

In mlr3learners/mlr3learners.kernlab: Learners from kernlab package for mlr3

Description

Regression support vector machine. Calls kernlab::ksvm() from package kernlab.

Dictionary

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

mlr_learners$get("regr.ksvm")
lrn("regr.ksvm")

Super classes

mlr3::Learner -> mlr3::LearnerRegr -> LearnerRegrKSVM

Methods

Public methods

• LearnerRegrKSVM$new()

• LearnerRegrKSVM$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

LearnerRegrKSVM$new()

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Method clone()

The objects of this class are cloneable with this method.

Usage

LearnerRegrKSVM$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.

References

mlr3learners.kernlabkaratzoglou_2004

See Also

Dictionary of Learners: mlr3::mlr_learners

Examples

if (requireNamespace("kernlab")) {
  learner = mlr3::lrn("regr.ksvm")
  print(learner)

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

mlr3learners/mlr3learners.kernlab documentation built on June 4, 2020, 6:08 p.m.