TrustyAI Notebook Demo

(Adapted from Rui Vieira's https://github.com/ruivieira/trustyai-odh-notebook-demo)

This notebook demonstrates the core features of the TrustyAI python package from a Jupyter Notebook. Namely, this demo covers:

1. An intro to AI explainability algorithms
2. Applying these algorithms to a real world model
3. Tyrus, the TrustyAI explainability assistant and dashboard
4. Model bias metrics

Usage

Building from source:

• docker build . -t YOUR/TAG
• docker run -it -p 8888:8888 YOUR/TAG

Run a pre-built version:

• docker run -it -p 8888:8888 quay.io/trustyai/trustyai-notebook-demo

This will launch a Jupyter notebook server within a docker image; look for a message in the output to find the URL to the notebook server:

To access the notebook, open this file in a browser:
  file:///[PATH].html
Or copy and paste one of these URLs:
  http://[URL]:8888/?token=$token
or http://127.0.0.1:8888/?token=$token

Within the server, run the demo.ipynb notebook to access the demo.