Orange3 Fairness
Orange3 Fairness is an add-on for the Orange3 data mining suite. It provides extensions for fairness-aware AI, which includes algorithms for detecting and mitigating different types of biases in the data and the predictions of machine learning models. See documentation.
Features
Bias detection
- detect bias present in the data
- detect bias present in model predictions
Bias mitigation
- pre-processing, in-processing and post-processing methods for bias mitigation
2 maintainers
Release files for Orange3-Fairness 1.0.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| orange3_fairness-1.0.3.tar.gz | 45.1 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| orange3_fairness-1.0.3-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 9.2 MB
Release files / orange3_fairness-1.0.3.tar.gz
| Download URL | orange3_fairness-1.0.3.tar.gz |
|---|---|
| Size | 45.1 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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No |
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twine/6.1.0 CPython/3.13.12
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Release files / orange3_fairness-1.0.3-py3-none-any.whl
| Download URL | orange3_fairness-1.0.3-py3-none-any.whl |
|---|---|
| Size | 9.2 MB |
| 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/6.1.0 CPython/3.13.12
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