BSD Ports

math/py-fairlearn 0.14.0 FreeBSD

Python package to assess and improve fairness of machine learning models

System
FreeBSD
Repository
FreeBSD ports
Maintainer
[email protected]
Port added
Last update
Commit
3cbcc60d7f
License
MIT
Categories
math, python

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.

Install

Binary package:

pkg install py312-fairlearn

From the ports tree:

cd /usr/ports/math/py-fairlearn/ && make install clean

To depend on this port in another port's Makefile:

RUN_DEPENDS=	py312-fairlearn>0:math/py-fairlearn

Packages

The version each package repository carries. “-” means the repository builds no package of it, “n/a” that there is no such repository.

Repositoryaarch64amd64armv6armv7i386
FreeBSD:14:latest-0.14.0--0.14.0
FreeBSD:14:quarterly-0.14.0n/a-0.14.0
FreeBSD:15:latest-0.14.0n/a--
FreeBSD:15:quarterly-0.14.0n/an/an/a
FreeBSD:16:latest-0.14.0n/an/an/a
FreeBSD:16:quarterlyn/an/an/an/an/a

Dependencies

As this port's Makefile names them.

Build 2

Runtime 5

The full lists below include those, and their dependencies in turn.

Build dependencies 16
Run dependencies 36

No port depends on this one.

Configuration

No options to configure.

USES
python
Service scripts
none

Files

distinfo 1
FileSizeSHA256
fairlearn-0.14.0.tar.gz105832dc9d12fc6d3f4c94f1bf32eb11032b73363c4a62c986485bcc87febe2e583ebd
Master sites 1
  • PYPI

Commit history 1

DateCommitCreditsLog message
3cbcc60d7f Po-Chuan Hsieh 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.