The AffectLog’s Trustworthy AI (ALT-AI) provides a suite of tools for the explanation, visualization, and understanding of complex machine learning models. It acts as a bridge between raw model output and actionable insights, making it easier for data scientists and stakeholders to interpret model predictions, understand feature importance, and evaluate model fairness and performance across different segments.
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Release files for altrustworthyai 0.7.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| altrustworthyai-0.7.1.tar.gz | 1.7 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| altrustworthyai-0.7.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 3.3 kB
Release files / altrustworthyai-0.7.1.tar.gz
| Download URL | altrustworthyai-0.7.1.tar.gz |
|---|---|
| Size | 1.7 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 |
4676019610b2f3e5cc19698d19a5d024d01d4041830989e1417dae55eff57882
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.13.2
|
Release files / altrustworthyai-0.7.1-py3-none-any.whl
| Download URL | altrustworthyai-0.7.1-py3-none-any.whl |
|---|---|
| Size | 1.6 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
3fcfdaad92640d41433f5977328ea4d5c26b1d044aab8ca5e4f369bb98e68c48
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BLAKE2b-256 checksum How to use checksums |
5164fe835c77887bfd851470091ad9cf22d28b0bb8170a73006700629b911249
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.13.2
|
