mlr3fselect 0.10.0

feat: Add callback mlr3fselect.svm_rfe to run recursive feature elimination on linear support vector machines.
refactor: The importance scores in FSelectorRFE are now aggregated by rank instead of averaging them.
feat: Add FSelectorRFECV optimizer to run recursive feature elimination with cross-validation.
refactor: FSelectorRFE works without store_models = TRUE now.
feat: The as.data.table.ArchiveFSelect() function additionally returns a character vector of selected features for each row.
refactor: Add callbacks argument to fsi() function.

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