context("classif_hdrda")
test_that("classif_hdrda", {
requirePackagesOrSkip("sparsediscrim", default.method = "load")
parset.list = list(
list(),
list(lambda = 0.9, gamma = 0.9)
)
old.predicts.list = list()
old.probs.list = list()
for (i in seq_along(parset.list)) {
parset = parset.list[[i]]
parset$x = as.matrix(binaryclass.train[, -binaryclass.class.col])
parset$y = binaryclass.train[, binaryclass.class.col]
set.seed(getOption("mlr.debug.seed"))
m = do.call(sparsediscrim::hdrda, parset)
old.predicts.list[[i]] = predict(m, binaryclass.test[, -binaryclass.class.col])$class
old.probs.list[[i]] = predict(m, binaryclass.test[, -binaryclass.class.col])$posterior[, 1L]
}
testSimpleParsets("classif.hdrda", binaryclass.df, binaryclass.target, binaryclass.train.inds,
old.predicts.list, parset.list)
testProbParsets("classif.hdrda", binaryclass.df, binaryclass.target, binaryclass.train.inds,
old.probs.list, parset.list)
})
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