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library(mlr)

set.seed(123, "L'Ecuyer")

iris.task = classif.task = makeClassifTask(id = "iris-example", data = iris, target = "Species")
resamp = makeResampleDesc("CV", iters = 10L)

lrn = makeLearner("classif.rpart")

control.grid = makeTuneControlGrid() 
ps = makeParamSet(
  makeDiscreteParam("cp", values = seq(0,0.1,0.01)),
  makeDiscreteParam("minsplit", values = c(10,20))
)

getParamSet(lrn)

res = tuneParams(lrn, task = iris.task, resampling = resamp, control = control.grid, par.set = ps, measures = list(acc,timetrain))
opt.grid = as.data.frame(res$opt.path)
print(opt.grid)