Trustworthy AI Vision SDK for Python
This package has been tested with Python 3.7, 3.8 and 3.9
The Trustworthy AI Vision SDK enables users to analyze their machine learning models for computer vision in one API. Users will be able to analyze errors, explain the most important features, and understand their data using a single API.
Highlights of the package include:
explainer.add()explains the model
Supported scenarios, models and datasets
The Trustworthy AI Vision SDK supports multiclass classification models on image data currently.
The open source code for the visualization dashboard can be found here: https://github.com/affectlog/trustworthy-ai-widgets
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Metadata
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Release files for trustworthyai-vision 0.3.10
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| trustworthyai_vision-0.3.10.tar.gz | 36.6 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| trustworthyai_vision-0.3.10-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 70.4 kB
Release files / trustworthyai_vision-0.3.10.tar.gz
| Download URL | trustworthyai_vision-0.3.10.tar.gz |
|---|---|
| Size | 36.6 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/5.1.1 CPython/3.11.10
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Release files / trustworthyai_vision-0.3.10-py3-none-any.whl
| Download URL | trustworthyai_vision-0.3.10-py3-none-any.whl |
|---|---|
| Size | 33.8 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 |
cf63d1a60f3201191ef4343ce0f8510054027c17ccdecad56b542a29401ee394
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.11.10
|
