context("regr_kknn")
test_that("regr_kknn", {
requirePackagesOrSkip("!kknn", default.method = "load")
parset.list = list(
list(),
list(k = 1),
list(k = 4),
list(k = 10)
)
old.predicts.list = list()
for (i in seq_along(parset.list)) {
parset = parset.list[[i]]
pars = list(formula = regr.formula, train = regr.train, test = regr.test)
pars = c(pars, parset)
set.seed(getOption("mlr.debug.seed"))
m = do.call(kknn::kknn, pars)
p = predict(m, newdata = regr.test)
old.predicts.list[[i]] = p
}
testSimpleParsets("regr.kknn", regr.df, regr.target, regr.train.inds, old.predicts.list, parset.list)
tt = function(formula, data, k = 7) {
return(list(formula = formula, data = data, k = k))
}
tp = function(model, newdata) {
kknn::kknn(model$formula, train = model$data, test = newdata, k = model$k)$fitted
}
testCVParsets("regr.kknn", regr.df, regr.target, tune.train = tt, tune.predict = tp,
parset.list = parset.list)
})
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