Nothing
context("Nearest Centroid Classifier")
test_that("Nearest Centroid Finds correct Centers", {
n <- 100
d <- 6
K <- 2
nrep <- 10
centroid.sim <- sapply(1:nrep, function(i) {
dat=lol.sims.mean_diff(n, d, md=2)
class <- lol.classify.nearestCentroid(dat$X, dat$Y)
class$centroids
})
avg.centr.sim <- apply(centroid.sim, 1, FUN=mean)
expect_equal(avg.centr.sim[1], 2, tolerance=0.1)
expect_equal(avg.centr.sim[2:length(avg.centr.sim)], rep(0, length(avg.centr.sim)-1), tolerance=0.1)
})
test_that("Nearest Centroid Classifies Properly", {
n <- 100
d <- 4
K <- 2
nrep <- 10
dat=lol.sims.mean_diff(n, d, md=5)
class <- lol.classify.nearestCentroid(dat$X, dat$Y)
expect_equal(dim(class$centroids), c(K, d))
Yhat <- predict(class, dat$X)
lhat <- mean(Yhat != dat$Y)
expect_lt(lhat, 0.1)
})
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