Pairwise distance computation in the fairness scorer

[Hilly12]

Is there an existing issue for this?

• I have searched the existing issues

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.