The bias and fairness audit toolkit.
Project description
Aequitas is an open-source bias audit toolkit for data scientists, machine learning researchers, and policymakers to audit machine learning models for discrimination and bias, and to make informed and equitable decisions around developing and deploying predictive tools.
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
aequitas-lite-0.43.5.tar.gz
(62.0 kB
view details)
Built Distribution
File details
Details for the file aequitas-lite-0.43.5.tar.gz.
File metadata
- Download URL: aequitas-lite-0.43.5.tar.gz
- Upload date:
- Size: 62.0 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/1.14.0 pkginfo/1.6.1 requests/2.9.1 setuptools/50.3.2 requests-toolbelt/0.9.1 tqdm/4.54.1 CPython/3.6.12
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 33a21c6c65b87bbe21d0faf4c3b4f71e2bb6cf9dc2b81a7bb8c9d8b31c2250b2 |
|
| MD5 | 0f9562f17262e15153371641aac49cc2 |
|
| BLAKE2b-256 | 02e04c24acc2af41b32678b207496d5f408b6efbfe68fe4d3fdb0d6685c43ad6 |
File details
Details for the file aequitas_lite-0.43.5-py3-none-any.whl.
File metadata
- Download URL: aequitas_lite-0.43.5-py3-none-any.whl
- Upload date:
- Size: 69.1 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/1.14.0 pkginfo/1.6.1 requests/2.9.1 setuptools/50.3.2 requests-toolbelt/0.9.1 tqdm/4.54.1 CPython/3.6.12
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 8a41565bbeff051534f4a7abae82eac9636761950c0eeb5408876e510011197c |
|
| MD5 | 63f3415261d184fb93b6f415ccb9eb0c |
|
| BLAKE2b-256 | 23d072763e83e6dbc6fc091b4d7f6135941c06883b30b5454939f7a6c4336d57 |
