| Port details |
- py-fairlearn Python package to assess and improve fairness of machine learning models
- 0.14.0 math
 =0      Package not present on quarterly.This port was created during this quarter. It will be in the next quarterly branch but not the current one. - Maintainer: sunpoet@FreeBSD.org
- Port Added: 2026-07-11 12:24:06
- Last Update: 2026-07-11 12:20:43
- Commit Hash: 3cbcc60
- Also Listed In: python
- License: MIT
- WWW:
- https://fairlearn.org/
- https://github.com/fairlearn/fairlearn
- Description:
- Fairlearn is a Python package that empowers developers of artificial
intelligence (AI) systems to assess their system's fairness and mitigate any
observed unfairness issues. Fairlearn contains mitigation algorithms as well as
metrics for model assessment. Besides the source code, this repository also
contains Jupyter notebooks with examples of Fairlearn usage.
  ¦  ¦  ¦  ¦ 
- Manual pages:
- FreshPorts has no man page information for this port.
- pkg-plist: as obtained via:
make generate-plist - There is no configure plist information for this port.
- USE_RC_SUBR (Service Scripts)
- no SUBR information found for this port
- Dependency lines:
-
- ${PYTHON_PKGNAMEPREFIX}fairlearn>0:math/py-fairlearn@${PY_FLAVOR}
- To install the port:
- cd /usr/ports/math/py-fairlearn/ && make install clean
- To add the package, run one of these commands:
- pkg install math/py-fairlearn
- pkg install py312-fairlearn
NOTE: If this package has multiple flavors (see below), then use one of them instead of the name specified above.
NOTE: This is a Python port. Instead of py312-fairlearn listed in the above command, you can pick from the names under the Packages section.- PKGNAME: py312-fairlearn
- Package flavors (<flavor>: <package>)
- distinfo:
- TIMESTAMP = 1783563936
SHA256 (fairlearn-0.14.0.tar.gz) = dc9d12fc6d3f4c94f1bf32eb11032b73363c4a62c986485bcc87febe2e583ebd
SIZE (fairlearn-0.14.0.tar.gz) = 105832
No package information for this port in our database- Sometimes this happens. Not all ports have packages. This is doubly so for new ports, like this one.
- Dependencies
- NOTE: FreshPorts displays only information on required and default dependencies. Optional dependencies are not covered.
- Build dependencies:
-
- py312-setuptools>=0 : devel/py-setuptools@py312
- py312-wheel>=0 : devel/py-wheel@py312
- python3.12 : lang/python312
- py312-build>=0 : devel/py-build@py312
- py312-installer>=0 : devel/py-installer@py312
- Test dependencies:
-
- python3.12 : lang/python312
- Runtime dependencies:
-
- py312-narwhals>=1.14.0 : math/py-narwhals@py312
- py312-numpy>=1.24.4,1 : math/py-numpy@py312
- py312-pandas>=2.0.3,1 : math/py-pandas@py312
- py312-scikit-learn>=1.5.0 : science/py-scikit-learn@py312
- py312-scipy>=1.9.3,1 : science/py-scipy@py312
- python3.12 : lang/python312
- There are no ports dependent upon this port
Configuration Options:- No options to configure
- Options name:
- math_py-fairlearn
- USES:
- python
- FreshPorts was unable to extract/find any pkg message
- Master Sites:
|
Number of commits found: 1
| Commit History - (may be incomplete: for full details, see links to repositories near top of page) |
| Commit | Credits | Log message |
|---|
0.14.0
11 Jul 2026 12:20:43
 |
Po-Chuan Hsieh (sunpoet) |
math/py-fairlearn: Add py-fairlearn 0.14.0
Fairlearn is a Python package that empowers developers of artificial
intelligence (AI) systems to assess their system's fairness and mitigate any
observed unfairness issues. Fairlearn contains mitigation algorithms as well as
metrics for model assessment. Besides the source code, this repository also
contains Jupyter notebooks with examples of Fairlearn usage. |
Number of commits found: 1
|
As an Amazon Associate I earn from qualifying purchases.