1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
|
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)
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)
})
|
