Update fairlearn requirement from >=0.13.0 to >=0.14.0

[dependabot]

Updates the requirements on fairlearn to permit the latest version.

Release notes

Sourced from fairlearn's releases.

v0.14.0

Summary

This release updates the supported Python range (drops 3.9, adds 3.13) and adds compatibility with scipy 1.16. It continues the Narwhals integration work in the postprocessing module and GroupFeature, fixes a polars dataframe-interchange deprecation, and corrects the handling of degenerate sensitive feature values in PrototypeRepresentationLearner.

Bug fixes

• Fixed handling of single-group (degenerate) sensitive features in PrototypeRepresentationLearner.fit, which previously failed during the fairness-error computation: #1626 by @​BALOGUN-DAVID.
• Changed GridSearch.fit to return self, matching the scikit-learn estimator convention: #1622 by @​k-nithin.
• Fixed a polars dataframe-interchange protocol deprecation in AnnotatedMetricFunction and corrected the 1D-array branch at the same time: #1639 by @​taharallouche.
• Added a MANIFEST.in so that requirements*.txt are included in the source distribution, and switched the build pipeline to the PEP 517 build frontend: #1628 by @​tiran.
• Excluded the test and test_othermlpackages directories from the fairlearn packaging distribution: #1644 by @​parulgupta1004.

Narwhals integration

• Made postprocessing/_tradeoff_curve_utilities.py dataframe agnostic through Narwhals: #1553 by @​FBruzzesi.
• Made GroupFeature dataframe agnostic through Narwhals: #1546 by @​FBruzzesi.

Documentation

• Added a GridSearch algorithm overview and usage example to the reductions user guide: #1622 by @​k-nithin.
• Added a usage example for mean_prediction in the advanced MetricFrame guide: #1637 by @​3Paradox.
• Improved docstrings for base metrics, DisaggregatedResult methods, and MetricFrame group methods: #1621 by @​k-nithin.
• Added versionadded and versionchanged directives to the public docstrings in fairlearn.metrics: #1640 by @​BAder82t.
• Corrected the true-positive-rate formula in the equal_opportunity_difference and equal_opportunity_ratio docstrings (from E[h(X) | A=a] to P[h(X)=1 | A=a, Y=1]): #1605 by @​OphyBoamah.
• Removed the outdated Fairlearn repository overview page from the contributor guide: #1606 by @​Anish8800.
• Fixed minor spacing and punctuation in docs/user_guide/fairness_in_machine_learning.rst: #1611 by @​Anish8800.
• Updated the Maintainers link in the README to point directly to the Maintainers section of the website instead of the general About page: #1601 by @​itz8bitstudios.

Other improvements

• Removed support for Python 3.9 and added support for Python 3.13: #1592 by @​tamaraatanasoska.
• Added support for scipy 1.16: #1596 by @​tamaraatanasoska.
• Raised the minimum supported scikit-learn to 1.5.0 and the pinned torch in requirements-min.txt to 2.8.0 to clear Dependabot security advisories: #1645 by @​romanlutz.
• Removed an unused name argument from GroupFeature: #1599 by @​taharallouche.
• Avoided a sys module patching leak in the test suite: #1600 by @​taharallouche.
• Removed a Pillow deprecation warning by requiring matplotlib>=3.10.5: #1618 by @​iclectic.
• Fixed a DataFrame fragmentation PerformanceWarning in the reductions module: #1631 by @​BALOGUN-DAVID.
• Closed Matplotlib figures before/after tests to avoid a deprecation warning: #1603 by @​lolashaffy.
• Sped up the reductions test suite: #1574 by @​taharallouche.
• Sped up the preprocessing test suite: #1573 by @​taharallouche.
• Sped up the metrics test suite: #1572 by @​taharallouche.
• Improved unit tests for PrototypeRepresentationLearner: stopped overriding parametrized sensitive_features values inside the test bodies and added coverage for multi-dimensional sensitive features: #1623 by @​taharallouche.
• Cached OpenML datasets in CI runs: #1598 by @​FBruzzesi.
• Added a Narwhals pytest marker: #1597 by @​FBruzzesi.

Commits

• 9e60856 MNT bump version to 0.14.0 for release (#1647)
• f0004c4 DOC polish v0.14.0 release notes (#1646)
• 1da3957 MNT Address Dependabot security alerts (scikit-learn, torch) (#1645)
• b682e06 Fix: Exclude tests from packaging distribution (#1644)
• c902a1f [Doc] GridSearch docs (#1622)
• 224a3b7 DOC Add versionadded and versionchanged to fairlearn.metrics (#951) (#1640)
• fb79e93 DOC Add usage example for mean_prediction in advanced MetricFrame guide (#1637)
• 4b384fe FIX polar dataframe interchange protocol deprecation (#1639)
• 8512cd4 MNT Bump pytest from 8.3.5 to 9.0.3 (#1638)
• 0173555 MNT Fix DataFrame fragmentation PerformanceWarning in reductions module (#1631)
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Project	Deployment	Actions	Updated (UTC)
fair-code	Ready	Preview, Comment	Jun 12, 2026 9:44am