man-roxygen/arg_data.R

In giuseppec/featureImportance: Model-agnostic feature importance with the mlr package

#' @param data [\code{data.frame}] \cr
#' The data whose features will be permuted in order to measure their importance.
#' If \code{object} is of class \code{ResampleResult}, you should use the corresponding data on which the whole resampling was performed. In any other case, you might use some independent test data that was not used to fit the model (although you could also use the train data here).