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context("regr_brnn")
test_that("regr_brnn", {
requirePackagesOrSkip("brnn", default.method = "load")
parset.list = list(
list(),
list(neurons = 3L),
list(mu = 0.001)
)
old.predicts.list = list()
for (i in seq_along(parset.list)) {
pars = list(formula = regr.formula, data = regr.train)
pars = c(pars, parset.list[[i]])
set.seed(getOption("mlr.debug.seed"))
capture.output({
m = do.call(brnn::brnn, pars)
})
p = predict(m, newdata = regr.test)
old.predicts.list[[i]] = p
}
testSimpleParsets("regr.brnn", regr.df, regr.target, regr.train.inds,
old.predicts.list, parset.list)
})
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