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#' Reweighing | |
#' @description Reweighing is a preprocessing technique that weights the examples in each (group, label) combination differently to ensure fairness before classification | |
#' @param unprivileged_groups a list with two values: the column of the protected class and the value indicating representation for unprivileged group | |
#' @param privileged_groups a list with two values: the column of the protected class and the value indicating representation for privileged group | |
#' @usage reweighing(unprivileged_groups, privileged_groups) | |
#' @examples | |
#' \dontrun{ | |
#' # An example using the Adult Dataset | |
#' load_aif360_lib() | |
#' ad <- adult_dataset() | |
#' p <- list("race", 1) | |
#' u <- list("race", 0) | |
#' rw <- reweighing(u,p) | |
#' rw$fit(ad) | |
#' ad_transformed <- rw$transform(ad) | |
#' ad_fit_transformed <- rw$fit_transform(ad) | |
#' } | |
#' @export | |
#' | |
reweighing <- function(unprivileged_groups, privileged_groups) { | |
unprivileged_dict <- dict_fn(unprivileged_groups) | |
privileged_dict <- dict_fn(privileged_groups) | |
rw <- pre_algo$Reweighing(unprivileged_dict, privileged_dict) | |
return (rw) | |
} | |