todo-files/test_classif_rrlda.R

#
# test_that("classif_rrlda", {
#   suppressMessages(requirePackagesOrSkip("!rrlda", default.method = "load"))
#
#   m = rrlda::rrlda(x = multiclass.train[, -multiclass.class.col],
#     grouping = multiclass.train[, multiclass.target])
#   p = predict(m, x = multiclass.test[, -multiclass.class.col])$class
#
#   testSimple("classif.rrlda", multiclass.df, multiclass.target,
#     multiclass.train.inds, p)
# })
berndbischl/mlr documentation built on Jan. 6, 2023, 12:45 p.m.