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#' Binary Label Dataset Metric | |
#' @description Class for computing metrics on an aif360 compatible dataset with binary labels. | |
#' @param dataset A aif360 compatible dataset. | |
#' @param privileged_groups Privileged groups. List containing privileged protected attribute name and value of the privileged protected attribute. | |
#' @param unprivileged_groups Unprivileged groups. List containing unprivileged protected attribute name and value of the unprivileged protected attribute. | |
#' @usage | |
#' binary_label_dataset_metric(dataset, privileged_groups, unprivileged_groups) | |
#' @examples | |
#' \dontrun{ | |
#' load_aif360_lib() | |
#' # Load the adult dataset | |
#' adult_dataset <- adult_dataset() | |
#' | |
#' # Define the groups | |
#' privileged_groups <- list("race", 1) | |
#' unprivileged_groups <- list("race", 0) | |
#' | |
#' # Metric for Binary Label Dataset | |
#' bm <- binary_label_dataset_metric(dataset = adult_dataset, | |
#' privileged_groups = privileged_groups, | |
#' unprivileged_groups = unprivileged_groups) | |
#' | |
#' # Difference in mean outcomes between unprivileged and privileged groups | |
#' bm$mean_difference() | |
#' } | |
#' @seealso | |
#' \href{https://aif360.readthedocs.io/en/latest/modules/metrics.html#aif360.metrics.BinaryLabelDatasetMetric}{Explore available binary label dataset metrics here} | |
#' | |
#' Available metrics are: base_rate, consistency, disparate_impact, mean_difference, num_negatives, num_positives and statistical_parity_difference. | |
#' @export | |
#' @importFrom reticulate py_suppress_warnings py_to_r | |
#' | |
binary_label_dataset_metric <- function(dataset, | |
privileged_groups, | |
unprivileged_groups){ | |
p_dict <- dict_fn(privileged_groups) | |
u_dict <- dict_fn(unprivileged_groups) | |
return(metrics$BinaryLabelDatasetMetric(dataset, | |
privileged_groups = p_dict, | |
unprivileged_groups = u_dict)) | |
} | |