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test_that("regr_rpart", {
requirePackagesOrSkip("rpart", default.method = "load")
parset.list = list(
list(),
list(minsplit = 10, cp = 0.005),
list(minsplit = 50, cp = 0.05),
list(minsplit = 50, cp = 0.999),
list(minsplit = 1, cp = 0.0005)
)
old.predicts.list = list()
old.probs.list = list()
for (i in seq_along(parset.list)) {
parset = parset.list[[i]]
pars = list(formula = regr.formula, data = regr.train)
pars = c(pars, parset)
m = do.call(rpart::rpart, pars)
p = predict(m, newdata = regr.test)
old.predicts.list[[i]] = p
}
testSimpleParsets("regr.rpart", regr.df, regr.target, regr.train.inds,
old.predicts.list, parset.list)
tt = rpart::rpart
tp = function(model, newdata) predict(model, newdata)
testCVParsets("regr.rpart", regr.df, regr.target, tune.train = tt,
tune.predict = tp, parset.list = parset.list)
})
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