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
1 maintainer
Metadata
1 maintainer
Release files for Blauwal3-Fairness 1.0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| blauwal3_fairness-1.0.1.tar.gz | 2.4 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| Blauwal3_Fairness-1.0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 2.5 MB
Release files / blauwal3_fairness-1.0.1.tar.gz
| Download URL | blauwal3_fairness-1.0.1.tar.gz |
|---|---|
| Size | 2.4 MB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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twine/5.1.1 CPython/3.10.14
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Release files / Blauwal3_Fairness-1.0.1-py3-none-any.whl
| Download URL | Blauwal3_Fairness-1.0.1-py3-none-any.whl |
|---|---|
| Size | 65.0 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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twine/5.1.1 CPython/3.10.14
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