Fairness module in dalex

We live in a world that is getting more divided each day. In some parts of the world, the differences and inequalities between races, ethnicities, and sometimes sexes are aggravating. The data we use for modeling is in the major part a reflection of the world it derives from. And the world can be biased, so data and therefore model will likely reflect that. The introduction to this topic is well presented in Fairness and machine learning.

We propose a way in which ML engineers can easily check if their model is biased.

Fairness module is still work-in-progres and new features will be added over time.

import dalex as dx
import numpy as np

import plotly
plotly.offline.init_notebook_mode()