Nothing
test_that("compute_nmi is 0 for independence and ~1 for a deterministic map", {
set.seed(1L)
g <- sample(c("A", "B", "C"), 400, replace = TRUE)
expect_lt(compute_nmi(g, sample(g)), 0.05) # independent
expect_gt(compute_nmi(g, paste0("y", g)), 0.99) # deterministic 1:1
})
test_that("compute_nmi accepts a contingency table or two vectors", {
x <- c("a", "a", "b", "b"); y <- c(1, 1, 2, 2)
expect_equal(compute_nmi(x, y), compute_nmi(table(x, y)))
})
test_that("compute_nmi is bounded and degenerate-safe", {
v <- compute_nmi(sample(letters[1:3], 100, TRUE), sample(1:3, 100, TRUE))
expect_gte(v, 0); expect_lte(v, 1)
expect_equal(compute_nmi(matrix(5, 1, 3)), 0) # < 2 rows
expect_equal(compute_nmi(rep("a", 10), rep("b", 10)), 0) # constant marginals
})
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