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

Format

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

Construction

LearnerClassifSVM$new()
mlr3::mlr_learners$get("classif.svm")
mlr3::lrn("classif.svm")

References

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

See also

Examples

learner = mlr3::lrn("classif.svm") print(learner)
#> <LearnerClassifSVM:classif.svm> #> * Model: - #> * Parameters: list() #> * Packages: e1071 #> * Predict Type: response #> * Feature types: integer, numeric #> * Properties: multiclass, twoclass
# available parameters: learner$param_set$ids()
#> [1] "type" "cost" "nu" "kernel" "degree" "coef0" #> [7] "gamma" "cachesize" "tolerance" "shrinking" "cross" "fitted" #> [13] "scale"