Welcome to EthicML’s documentation!#

Package for evaluating the performance of methods which aim to increase fairness, accountability and/or transparency of machine learning models.

Example#

import ethicml as em

results = em.evaluate_models(
    datasets=[em.adult()],
    inprocess_models=[em.SVM(), em.Kamiran()],
    preprocess_models=[em.Upsampler()],
    metrics=[em.Accuracy()],
    per_sens_metrics=[em.ProbPos(), em.TPR()],
    repeats=5,
)
em.plot_results(results, "Accuracy", "prob_pos_Male_0/Male_1")

Indices and tables#