test_that("classif_xyf", {
requirePackagesOrSkip("kohonen", default.method = "load")
parset.list1 = list(
list(),
list(grid = class::somgrid(xdim = 2L, ydim = 4L)),
list(rlen = 50L)
)
parset.list2 = list(
list(),
list(xdim = 2L, ydim = 4L),
list(rlen = 50L)
)
old.probs.list = old.predicts.list = list()
for (i in seq_along(parset.list1)) {
pars = parset.list1[[i]]
pars$data = as.matrix(binaryclass.train[, -binaryclass.class.col])
pars$Y = binaryclass.train[, binaryclass.class.col]
pars$keep.data = FALSE
set.seed(getOption("mlr.debug.seed"))
m = do.call(kohonen::xyf, pars)
p = predict(m, as.matrix(binaryclass.test[, -binaryclass.class.col]))
old.predicts.list[[i]] = p$prediction
old.probs.list[[i]] = p$unit.predictions[p$unit.classif, 1L]
}
testSimpleParsets("classif.xyf", binaryclass.df, binaryclass.target, binaryclass.train.inds,
old.predicts.list, parset.list2)
testProbParsets("classif.xyf", binaryclass.df, binaryclass.target, binaryclass.train.inds,
old.probs.list, parset.list2)
})
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