Support Vector Machine

Source: R/LearnerRegrSVM.R

A learner for a regression support vector machine implemented in e1071::svm().

Format

R6::R6Class() inheriting from mlr3::LearnerRegr.

Construction

LearnerRegrSVM$new()
mlr3::mlr_learners$get("regr.svm")
mlr3::lrn("regr.svm")

References

Cortes C, Vapnik V (1995). “Support-vector networks.” Machine Learning, 20(3), 273--297. doi: 10.1007/BF00994018 .

See also

Dictionary of Learners: mlr3::mlr_learners

Examples

learner = mlr3::lrn("regr.svm")
print(learner)
#> <LearnerRegrSVM:regr.svm>
#> * Model: -
#> * Parameters: list()
#> * Packages: e1071
#> * Predict Type: response
#> * Feature types: integer, numeric
#> * Properties: -

# available parameters:
learner$param_set$ids()
#>  [1] "type"      "kernel"    "degree"    "coef0"     "cost"      "nu"       
#>  [7] "gamma"     "cachesize" "tolerance" "epsilon"   "shrinking" "cross"    
#> [13] "fitted"    "scale"