Is there an existing issue for this?
Is your feature request related to a problem?
At the moment, the fairness scorer compares the distribution of a variable in a sensitive sub-group to the overall distribution. This works well for symmetrical statistical distance metrics, but it would be useful to have a way of using asymmetrical metrics such as disparate impact, to produce a similar table comparing distributions of different pairings of subgroups instead.
Describe the solution you would like
A method similar to fairlens.FairnessScorer.distribution_score, which iterates through pairs of the subgroups instead.
Is there an existing issue for this?
Is your feature request related to a problem?
At the moment, the fairness scorer compares the distribution of a variable in a sensitive sub-group to the overall distribution. This works well for symmetrical statistical distance metrics, but it would be useful to have a way of using asymmetrical metrics such as disparate impact, to produce a similar table comparing distributions of different pairings of subgroups instead.
Describe the solution you would like
A method similar to
fairlens.FairnessScorer.distribution_score, which iterates through pairs of the subgroups instead.