Function for Feature Selection

Function to optimize the feature set of a mlr3::Learner.

fselect(
  method,
  task,
  learner,
  resampling,
  measure,
  term_evals = NULL,
  term_time = NULL,
  ...
)

Arguments

method	(character(1)) Key to retrieve fselector from mlr_fselectors dictionary.
task	(mlr3::Task) Task to operate on.
learner	(mlr3::Learner).
resampling	(mlr3::Resampling) Uninstantiated resamplings are instantiated during construction so that all configurations are evaluated on the same data splits.
measure	(mlr3::Measure) Measure to optimize.
term_evals	(integer(1)) Number of allowed evaluations.
term_time	(integer(1)) Maximum allowed time in seconds.
...	(named list()) Named arguments to be set as parameters of the fselector.

Value

FSelectInstanceSingleCrit

Examples

task = tsk("pima")

instance = fselect(
  method = "random_search",
  task = task,
  learner = lrn("classif.rpart"),
  resampling = rsmp ("holdout"),
  measure = msr("classif.ce"),
  term_evals = 4)

# subset task to optimized feature set
task$select(instance$result_feature_set)