[R] Problem with mlr3 parameters optimization

[Neha gupta]

Hello everyone,

I performed a parameters optimization in mlr3 and then pass it to the
benchmark to compare the optimized and a baseline learner, but it give an
error message and does not recognize the optimized (i.e. at) learner.

df=readARFF("nasa93.arff")

task=TaskRegr$new("df", df, target = "act_effort")
learner= lrn("regr.rpart")

resampling = rsmp("bootstrap", repeats=100)

search_space = paradox::ParamSet$new(
  params = list(paradox::ParamDbl$new("cp", lower = 0.001, upper = 0.1)))
terminator = trm("evals", n_evals = 5)
tuner = tnr("grid_search", resolution = 10)

at = AutoTuner$new(
  learner = learner,
  resampling = resampling,
  measure = measure,
  search_space = search_space,
  terminator = terminator,
  tuner = tuner
)

grid = benchmark_grid(task = task, learner = list(lrn("at"),
lrn("regr.rpart")),resampling)

bmr = benchmark(grid)

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