Nothing
skip_if_not_installed("caret")
test_that("FilterFindCorrelation", {
task = mlr3::mlr_tasks$get("sonar")
equalcor = cbind(
a = rep(c(1, 0, 0, 0), task$nrow / 4), b = c(0, 1, 0, 0),
c = c(0, 0, 1, 0), d = c(0, 0, 0, 1), e = c(0.1, -0.1, 0.1, 0.99),
f = c(-0.1, 0.1, 0.1, 0.99))
task$cbind(as.data.frame(equalcor))
data = task$data(cols = task$feature_names)
cm = cor(data)
checkpoints = (0:100) / 100
remove_caret = lapply(checkpoints, caret::findCorrelation, x = cm, exact = FALSE)
f = FilterFindCorrelation$new()
f$calculate(task)
remove_filter = lapply(checkpoints, function(cutoff) {
match(names(f$scores)[f$scores < 1 - cutoff], task$feature_names)
})
mapply(expect_set_equal, remove_caret, remove_filter)
})
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