reweighing: Reweighing

In aif360: Help Detect and Mitigate Bias in Machine Learning Models

Description

Reweighing is a preprocessing technique that weights the examples in each (group, label) combination differently to ensure fairness before classification

Usage

reweighing(unprivileged_groups, privileged_groups)

Arguments

unprivileged_groups	a list with two values: the column of the protected class and the value indicating representation for unprivileged group
privileged_groups	a list with two values: the column of the protected class and the value indicating representation for privileged group

Examples

# 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)

aif360 documentation built on July 1, 2020, 5:34 p.m.