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test_that("aggregations", {
ms = list(mmce, acc, tp, fp, tn, fn, tpr, fpr, tnr, fnr, ppv, npv, mcc, f1, auc)
rdesc = makeResampleDesc("CV", iters = 2)
lrn = makeLearner("classif.rpart", predict.type = "prob")
r = resample(lrn, task = binaryclass.task, resampling = rdesc, measures = ms)
a = r$aggr
expect_equal(length(a), length(ms))
expect_true(!any(is.na(as.logical(a))))
})
test_that("testgroup.mean", {
perf.test = 1:4
group = c(1, 1, 2, 2)
expect_equal(testgroup.mean$fun(NA, perf.test, NA, mean, group, NA), mean(c(mean(1:2), mean(3:4))))
})
test_that("testgroup.sd", {
perf.test = 1:10
group = c(rep(1, 5), rep(2, 5))
expect_equal(testgroup.sd$fun(NA, perf.test, NA, mean, group, NA), sd(c(mean(1:5), mean(6:10))))
})
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