mlr3fairness (version 0.4.0)

mlr_learners_fairness: Fair Learners in mlr3

Description

Fair Learners in mlr3

Usage

mlr_learners_fairness

Value

A data.table containing an overview of available fair learners.

Format

An object of class data.table (inherits from data.frame) with 5 rows and 3 columns.

Predefined measures

mlr3fairness comes with a set of predefined 'fair learners' listed below:

key	package	reference
regr.fairfrrm	fairml	Scutari et al., 2021
classif.fairfgrrm	fairml	Scutari et al., 2021
regr.fairzlm	fairml	Zafar et al., 2019
classif.fairzlrm	fairml	Zafar et al., 2019
regr.fairnclm	fairml	Komiyama et al., 2018

Protected Attributes

The protected attribute is specified as a col_role in the corresponding mlr3::Task():
<Task>$col_roles$pta = "name_of_attribute"
This also allows specifying more than one protected attribute, in which case fairness will be considered on the level of intersecting groups defined by all columns selected as a predicted attribute.

Examples

if (FALSE) { # rlang::is_installed("fairml")
# example code

library("mlr3")
# Available learners:
mlr_learners_fairness
}