context("regr_bartMachine")
test_that("regr_bartMachine", {
requirePackagesOrSkip("bartMachine", default.method = "load")
parset.list = list(
list(num_burn_in = 20L, num_iterations_after_burn_in = 50L, run_in_sample = FALSE, seed = getOption("mlr.debug.seed")),
list(num_burn_in = 20L, num_iterations_after_burn_in = 50L, alpha = 0.8, num_trees = 25L, run_in_sample = FALSE, seed = getOption("mlr.debug.seed"))
)
old.predicts.list = list()
xind = names(regr.train) != regr.target
for (i in seq_along(parset.list)) {
parset = parset.list[[i]]
pars = list(y = regr.train[, regr.target], X = regr.train[, xind], verbose = FALSE)
pars = c(pars, parset)
set.seed(getOption("mlr.debug.seed"))
m = do.call(bartMachine::bartMachine, pars)
set.seed(getOption("mlr.debug.seed"))
old.predicts.list[[i]] = predict(m, new_data = regr.test[, xind])
}
testSimpleParsets("regr.bartMachine", regr.df, regr.target, regr.train.inds,
old.predicts.list, parset.list)
for (i in seq_along(parset.list)){
expect_true(length(old.predicts.list[[i]]) == nrow(regr.test))
}
})
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