Example Notebooks#

Here’s a list of examples on how to use the library. We will be adding more examples soon. If you’re interested in contributing to existing notebooks or adding new ones please consult the guide on Contributing example notebooks.

Note

The Fairlearn API is still evolving, so if you want to run these on your local Fairlearn installation, make sure to match versions.

Value counts

CorrelationRemover visualization

MetricFrame visualizations

Passing pipelines to mitigation techniques

Basics & Model Specification of AdversarialFairnessClassifier

MetricFrame: Beyond Binary Classification

Making Derived Metrics

GridSearch with Census Data

Fine Tuning ad AdversarialFairnessClassifier

Plotting Metrics with Errors

Metrics with Multiple Features

Intersectionality in Mental Health Care

Credit Loan Decisions

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