Linear Discriminant Analysis Classification Learner

Source: R/LearnerClassifLDA.R

Linear discriminant analysis. Calls MASS::lda() from package MASS.

Format

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

Construction

LearnerClassifLDA$new()
mlr3::mlr_learners$get("classif.lda")
mlr3::lrn("classif.lda")

References

Venables WN, Ripley BD (2002). Modern Applied Statistics with S, Fourth edition. Springer, New York. ISBN 0-387-95457-0, http://www.stats.ox.ac.uk/pub/MASS4.

See also

Dictionary of Learners: mlr3::mlr_learners

Examples

learner = mlr3::lrn("classif.lda")
print(learner)
#> <LearnerClassifLDA:classif.lda>
#> * Model: -
#> * Parameters: list()
#> * Packages: MASS
#> * Predict Type: response
#> * Feature types: logical, integer, numeric, factor, ordered
#> * Properties: multiclass, twoclass, weights

# available parameters:
learner$param_set$ids()
#> [1] "prior"          "tol"            "method"         "nu"            
#> [5] "predict.method"