Overview
Phemus is a software tool aimed to provide fairness assessment and improvement for machine learning datasets.
Credit
This work is based on the technology developed in the following conference proceeding:
title: Automated directed fairness testing}
author: Udeshi, Sakshi and Arora, Pryanshu and Chattopadhyay, Sudipta
booktitle: Proceedings of the 33rd ACM/IEEE International Conference on Automated Software Engineering
pages: 98--108
year: 2018
Liscened by the original authors
1 maintainer
Release files for Phemus 1.0.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| Phemus-1.0.0.tar.gz | 16.4 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| Phemus-1.0.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 38.3 kB
Release files / Phemus-1.0.0.tar.gz
| Download URL | Phemus-1.0.0.tar.gz |
|---|---|
| Size | 16.4 kB |
| Tags | Source |
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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/3.7.1 importlib_metadata/4.10.1 pkginfo/1.8.2 requests/2.27.1 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.0
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Release files / Phemus-1.0.0-py3-none-any.whl
| Download URL | Phemus-1.0.0-py3-none-any.whl |
|---|---|
| Size | 21.9 kB |
| Tags | Python 3 |
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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/3.7.1 importlib_metadata/4.10.1 pkginfo/1.8.2 requests/2.27.1 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.0
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