Holistic AI Library
The Holistic AI library is an open-source tool to assess and improve the trustworthiness of AI systems.
Currently, the library offers a set of techniques to easily measure and mitigate Bias across numerous tasks. In the future, it will be extended to include tools for Efficacy, Robustness, Privacy and Explainability as well. This will allow a holistic assessment of AI systems.
- Documentation: https://holistic-ai.readthedocs.io/en/latest/
- Tutorials: https://github.com/holistic-ai/holisticai/tree/main/tutorials
- Source code: https://github.com/holistic-ai/holisticai/tree/main
- Holistic Ai website: https://holisticai.com
For metrics, you can use the default installation:
pip install holisticai # basic installation pip install holisticai[bias] # bias mitigation support pip install holisticai[explainability] # for explainability metrics and plots pip install holisticai[all] # install all packages for bias and explainability
on macOS could be necessary some packages before install holisticai library:
brew install cbc pkg-config python -m pip install cylp brew install cmake
Explainability Visualization Tools
sudo apt update sudo apt-get install graphviz
We welcome contributions to the Holistic AI library. If you are interested in contributing, please refer to our contributing guide.
Release history Release notifications | RSS feed
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Hashes for holisticai-0.7.2-py3-none-any.whl