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.
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Release files for aequitas-lite 0.43.5
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| aequitas-lite-0.43.5.tar.gz | 62.0 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| aequitas_lite-0.43.5-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 131.1 kB
Release files / aequitas-lite-0.43.5.tar.gz
| Download URL | aequitas-lite-0.43.5.tar.gz |
|---|---|
| Size | 62.0 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is 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
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Release files / aequitas_lite-0.43.5-py3-none-any.whl
| Download URL | aequitas_lite-0.43.5-py3-none-any.whl |
|---|---|
| Size | 69.1 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is 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
|
Security for aequitas-lite 0.43.5
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