Skip to main content
Ctrl+K
Fairlearn 0.13.0.dev0 documentation - Home Fairlearn 0.13.0.dev0 documentation - Home
  • Get Started
  • User Guide
  • API Docs
  • Example Notebooks
  • Contributor Guide
  • FAQ
  • About Us
  • GitHub
  • LinkedIn
  • StackOverflow
  • Discord
  • Get Started
  • User Guide
  • API Docs
  • Example Notebooks
  • Contributor Guide
  • FAQ
  • About Us
  • GitHub
  • LinkedIn
  • StackOverflow
  • Discord
Ctrl+K

Section Navigation

  • Fairness in Machine Learning
  • Assessment
    • Performing a Fairness Assessment
    • Common fairness metrics
    • Defining custom fairness metrics
    • Intersecting Groups
    • Confidence Interval Estimation
    • Advanced Usage of MetricFrame
    • Plotting
    • Saving and loading MetricFrame
  • Mitigations
    • Preprocessing
    • Postprocessing
    • Reductions
    • Adversarial Mitigation
  • Datasets
    • Adult Census Dataset
      • ACSIncome
    • Revisiting the Boston Housing Dataset
    • Diabetes 130-Hospitals Dataset
  • Installation and version guide
    • Installation Guide
    • Version guide
      • v0.1
      • v0.10.0
      • v0.11.0
      • v0.12.0
      • v0.13.0
      • v0.2.0
      • v0.3.0
      • v0.4.0
      • v0.4.1
      • v0.4.2
      • v0.4.3
      • v0.4.4
      • v0.4.5
      • v0.4.6
      • v0.5.0
      • v0.6.0
      • v0.6.1
      • v0.6.2
      • v0.7.0
      • v0.8.0
      • v0.9.0
  • Further Resources
  • User Guide
  • Installation and version guide
  • Version guide

Version guide#

This section contains pages designed to help understand and navigate major changes to the Fairlearn package and project.

  • v0.1
  • v0.10.0
  • v0.11.0
  • v0.12.0
  • v0.13.0
  • v0.2.0
  • v0.3.0
  • v0.4.0
  • v0.4.1
  • v0.4.2
  • v0.4.3
  • v0.4.4
  • v0.4.5
  • v0.4.6
  • v0.5.0
  • v0.6.0
  • v0.6.1
  • v0.6.2
  • v0.7.0
  • v0.8.0
  • v0.9.0

© Copyright 2018 - 2025, Fairlearn contributors.

Created using Sphinx 7.2.6.

Built with the PyData Sphinx Theme 0.16.1.