context("regr_ksvm")
test_that("regr_ksvm", {
requirePackagesOrSkip("kernlab", default.method = "load")
parset.list = list(
list(),
list(C = 0.3, kpar = list(sigma = 2)),
list(C = 0.3, kpar = list(sigma = 2), epsilon = 0.3)
)
parset.list2 = list(
list(),
list(C = 0.3, sigma = 2),
list(C = 0.3, sigma = 2, epsilon = 0.3)
)
old.predicts.list = list()
for (i in seq_along(parset.list)) {
parset = parset.list[[i]]
pars = list(regr.formula, data = regr.train)
pars = c(pars, parset)
set.seed(getOption("mlr.debug.seed"))
capture.output({
m = do.call(kernlab::ksvm, pars)
})
p = kernlab::predict(m, newdata = regr.test)
old.predicts.list[[i]] = p[, 1]
}
testSimpleParsets("regr.ksvm", regr.df, regr.target, regr.train.inds,
old.predicts.list, parset.list2)
})
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.