context("exampleRunMultiObj") test_that("exampleRunMultiObj", { doRun = function(method, crit, prop.points, indicator = "sms", trafo.y.fun = NULL) { # set nugget effect to small value for num stability in this unit test learner = makeLearner("regr.km", predict.type = "se", covtype = "matern3_2", nugget = 0.001) control = makeMBOControl(n.objectives = 2L, propose.points = prop.points, trafo.y.fun = trafo.y.fun) control = setMBOControlTermination(control, iters = 1L) if (method == "mspot") control = setMBOControlInfill(control, crit = crit, opt = "nsga2", opt.nsga2.popsize = 4L, opt.nsga2.generations = 1L) else control = setMBOControlInfill(control, crit = crit, opt = "focussearch", opt.restarts = 1L, opt.focussearch.points = 10L, opt.focussearch.maxit = 1L) control = setMBOControlMultiObj(control, method = method, dib.indicator = indicator) run = exampleRunMultiObj(testf.zdt1.2d, testd.zdt1.2d, learner = learner, control = control, points.per.dim = 4L, nsga2.args = list(popsize = 4L, generations = 2L)) expect_is(run, "MBOExampleRunMultiObj") res = renderExampleRunPlot(run, iter = 1L) expect_list(res, min.len = 1L, types = c("ggplot", "list")) } doRun(method = "parego", crit = crit.ei, prop.points = 1L) doRun(method = "parego", crit = crit.ei, prop.points = 2L) doRun(method = "parego", crit = crit.ei, prop.points = 2L, trafo.y.fun = trafoLog()) doRun(method = "parego", crit = crit.cb1, prop.points = 1L) doRun(method = "parego", crit = crit.cb1, prop.points = 2L) doRun(method = "mspot", crit = crit.ei, prop.points = 1L) doRun(method = "mspot", crit = crit.ei, prop.points = 4L) doRun(method = "mspot", crit = crit.cb1, prop.points = 1L) doRun(method = "mspot", crit = crit.cb1, prop.points = 2L) doRun(method = "dib", crit = crit.dib1, prop.points = 1L) doRun(method = "dib", crit = crit.dib1, prop.points = 2L) doRun(method = "dib", crit = crit.dib1, prop.points = 1L, indicator = "eps") doRun(method = "dib", crit = crit.dib1, prop.points = 2L, indicator = "eps") })