Fair Learners in mlr3

Fair Learners in mlr3

Usage

mlr_learners_fairness

Format

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

Value

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

Predefined measures

mlr3fairness comes with a set of predefined fairn 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 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

library("mlr3")
# Available learners:
mlr_learners_fairness
#>                  key package             reference
#>               <char>  <char>                <char>
#> 1:     regr.fairfrrm  fairml  Scutari et al., 2021
#> 2: classif.fairfgrrm  fairml  Scutari et al., 2021
#> 3:      regr.fairzlm  fairml    Zafar et al., 2019
#> 4:  classif.fairzlrm  fairml    Zafar et al., 2019
#> 5:     regr.fairnclm  fairml Komiyama et al., 2018