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test_that("getTaskData", {
df = getTaskData(multiclass.task)
expect_equal(df, multiclass.df)
df = getTaskData(multiclass.task, subset = 1:10, features = colnames(multiclass.df)[1:2])
expect_equal(df, multiclass.df[1:10, c(1:2, 5)])
# recode.target
td = getTaskDesc(binaryclass.task)
df = getTaskData(binaryclass.task, recode.target = "01")
expect_equal(df[, 1:20], binaryclass.df[, 1:20])
expect_true(is.numeric(df[, binaryclass.target]))
expect_equal(sum(df[, binaryclass.target] == 1),
sum(binaryclass.df[, binaryclass.target] == td$positive))
expect_equal(sum(df[, binaryclass.target] == 0),
sum(binaryclass.df[, binaryclass.target] == td$negative))
df = getTaskData(binaryclass.task, recode.target = "-1+1")
expect_equal(df[, 1:20], binaryclass.df[, 1:20])
expect_true(is.numeric(df[, binaryclass.target]))
expect_equal(sum(df[, binaryclass.target] == 1),
sum(binaryclass.df[, binaryclass.target] == td$positive))
expect_equal(sum(df[, binaryclass.target] == -1),
sum(binaryclass.df[, binaryclass.target] == td$negative))
df = getTaskData(multilabel.task, recode.target = "multilabel.factor")
expect_true(all(sapply(df[, multilabel.target], is.factor)))
expect_true(all(df[multilabel.small.inds, multilabel.target] == data.frame(
y1 = as.factor(c(TRUE, FALSE, TRUE, TRUE)),
y2 = as.factor(c(FALSE, TRUE, FALSE, FALSE)))))
expect_equal(rownames(df[multilabel.small.inds, multilabel.target]), c("1", "52", "53", "123"))
df = getTaskData(binaryclass.task, subset = 1:150, features = colnames(binaryclass.df)[1:2])
expect_equal(nrow(df), 150)
expect_equal(ncol(df), 3)
df = getTaskData(binaryclass.task, subset = 1:150, features = colnames(binaryclass.df)[1:2],
recode.target = "01")
expect_equal(nrow(df), 150)
expect_equal(ncol(df), 3)
x = getTaskData(multiclass.task, target.extra = TRUE)
expect_equal(x$data[, 1:4], multiclass.df[, 1:4])
expect_equal(x$target, multiclass.df[, multiclass.target])
# getTaskData works with index vector
df = getTaskData(binaryclass.task, subset = 1:150, features = 1:2)
expect_equal(nrow(df), 150)
expect_equal(ncol(df), 3)
})
test_that("getTaskData survival", {
df = getTaskData(surv.task)
expect_equal(df, surv.df)
cn = colnames(surv.df)[3:4]
df = getTaskData(surv.task, subset = 1:10, features = cn)
expect_equal(df, surv.df[1:10, union(cn, surv.target)])
x = getTaskData(surv.task, target.extra = TRUE)
expect_true(setequal(names(x), c("data", "target")))
expect_true(is.data.frame(x$data))
expect_true(is.data.frame(x$target))
expect_equal(dim(x$data), c(nrow(surv.df), ncol(surv.df) - 2))
expect_equal(dim(x$target), c(nrow(surv.df), 2L))
expect_equal(names(x$target), surv.target)
expect_true(setequal(names(x$data), setdiff(names(surv.df), surv.target)))
x = getTaskData(surv.task, target.extra = TRUE, recode.target = "surv")
expect_true(survival::is.Surv(x$target))
expect_equal(dim(x$target), c(nrow(surv.df), 2L))
})
test_that("getTaskData multilabel", {
df = getTaskData(multilabel.task)
expect_equal(df, multilabel.df)
cn = colnames(multilabel.df)[3:4]
df = getTaskData(multilabel.task, subset = 1:10, features = cn)
expect_equal(df, multilabel.df[1:10, union(cn, multilabel.target)])
x = getTaskData(multilabel.task, target.extra = TRUE)
expect_true(setequal(names(x), c("data", "target")))
expect_true(is.data.frame(x$data))
expect_true(is.data.frame(x$target))
expect_equal(dim(x$data), c(150L, 5L))
expect_equal(dim(x$target), c(150L, 2L))
expect_equal(names(x$target), multilabel.target)
expect_true(setequal(names(x$data), setdiff(names(multilabel.df), multilabel.target)))
x = getTaskData(multilabel.task, target.extra = TRUE)
expect_equal(dim(x$target), c(150L, 2L))
})
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