Skip to main content

Fairness auditing and mitigation for machine learning

Project description

equiml

Fairness auditing and mitigation for machine learning.

⚠️ This library is currently in early development.

Installation

pip install equiml

License

MIT

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

equiml-0.0.1.tar.gz (2.2 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

equiml-0.0.1-py3-none-any.whl (2.4 kB view details)

Uploaded Python 3

File details

Details for the file equiml-0.0.1.tar.gz.

File metadata

  • Download URL: equiml-0.0.1.tar.gz
  • Upload date:
  • Size: 2.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.9.6

File hashes

Hashes for equiml-0.0.1.tar.gz
Algorithm Hash digest
SHA256 d6c710f9232482f70fb4f2809e16b517e60797e96e03358c5c6ae67c1dcb730c
MD5 5da697e3538eef4bed487a094ef7a68a
BLAKE2b-256 fd4536fc082a1e979b09c9352b8cbc12320b5e01f01f96604e4bc4b7b6fbc741

See more details on using hashes here.

File details

Details for the file equiml-0.0.1-py3-none-any.whl.

File metadata

  • Download URL: equiml-0.0.1-py3-none-any.whl
  • Upload date:
  • Size: 2.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.9.6

File hashes

Hashes for equiml-0.0.1-py3-none-any.whl
Algorithm Hash digest
SHA256 d3173614039f3222ceb558c88422f27e8e5550da969fdbc7f4e25aa80ea7b969
MD5 191ea2083c188f6036efcac420af5bb7
BLAKE2b-256 f474c1bfc5ba901e42a3a8b25e982a8592a7ad1ffecaad8ad29b0f4bed171274

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page