context("different learner")
test_that("mbo works with different learners", {
# Test some possible learner on a simple problem with discrete and
# numeric parameters
ps1 = testp.mixed
f1 = testf.mixed
ps2 = testp.fsphere.2d
f2 = testf.fsphere.2d
ctrl = makeMBOControl()
ctrl = setMBOControlTermination(ctrl, iters = 1L)
ctrl = setMBOControlInfill(ctrl, opt.focussearch.points = 100L,
opt.restarts = 1L, opt.focussearch.maxit = 1L)
testit = function(fun, lrn, se, bagging = TRUE) {
if (is.character(lrn))
lrn = makeLearner(lrn)
if (se) {
if (bagging)
lrn = makeBaggingWrapper(lrn, bw.iters = 5L)
lrn = setPredictType(lrn, "se")
}
else {
ctrl$infill.crit = crit.mr
}
des = generateTestDesign(10L, getParamSet(fun))
res = mbo(fun, des, learner = lrn, control = ctrl)
expect_class(res, "MBOResult")
}
# and now a huge number of runs
testit(f1, "regr.lm", TRUE)
testit(f1, "regr.lm", FALSE)
testit(f2, "regr.lm", TRUE)
testit(f2, "regr.lm", FALSE)
testit(f2, "regr.km", TRUE, FALSE)
testit(f2, "regr.km", FALSE)
testit(f1, "regr.lm", TRUE, FALSE)
testit(f1, "regr.lm", FALSE)
testit(f2, "regr.lm", TRUE, FALSE)
testit(f2, "regr.lm", FALSE)
testit(f1, "regr.rpart", TRUE)
testit(f1, "regr.rpart", FALSE)
testit(f2, "regr.rpart", TRUE)
testit(f2, "regr.rpart", FALSE)
testit(f1, "regr.mob", TRUE)
testit(f1, "regr.mob", FALSE)
testit(f2, "regr.mob", TRUE)
testit(f2, "regr.mob", FALSE)
testit(f1, "regr.kknn", TRUE)
testit(f1, "regr.kknn", FALSE)
testit(f2, "regr.kknn", TRUE)
testit(f2, "regr.kknn", FALSE)
testit(f1, "regr.ksvm", TRUE)
testit(f1, "regr.ksvm", FALSE)
testit(f2, "regr.ksvm", TRUE)
testit(f2, "regr.ksvm", FALSE)
testit(f1, "regr.earth", TRUE)
testit(f1, "regr.earth", FALSE)
testit(f2, "regr.earth", TRUE)
testit(f2, "regr.earth", FALSE)
testit(f1, "regr.nnet", TRUE)
testit(f1, "regr.nnet", FALSE)
testit(f2, "regr.nnet", TRUE)
testit(f2, "regr.nnet", FALSE)
testit(f2, makeMBOLearner(ctrl, f1), TRUE, FALSE)
testit(f2, makeMBOLearner(ctrl, f2), TRUE, FALSE)
})
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