Class for Feature Selection ObjectiveSource:
Creates a new instance of this R6 class.
ObjectiveFSelect$new( task, learner, resampling, measures, check_values = TRUE, store_benchmark_result = TRUE, store_models = FALSE, archive = NULL )
Task to operate on.
Learner to optimize the feature subset for.
Resampling that is used to evaluated the performance of the feature subsets. Uninstantiated resamplings are instantiated during construction so that all feature subsets are evaluated on the same data splits. Already instantiated resamplings are kept unchanged.
Check the parameters before the evaluation and the results for validity?
Store benchmark result in archive?
logical(1)). Store models in benchmark result?