AI made Xplainable
Project description
Welcome to AntakIA !
AntakIA is an open-source tool from AI-vidence to explain ML black box models.
Here is a quick tour of AntakIA:
See full video on Youtube.
Install and run from source code
Clone the repo and create a virtual environment
git clone https://github.com/AI-vidence/antakia.git
cd antakia
Then, with pip
:
python3.10 -m venv .
source bin/activate
pip install -e .
Or,if you prefer poetry
:
poetry shell
peotry install
Got to https://doc.antakia.ai to learn how to use AntakIA.
You may also need to install Git LFS to download our CSV files in /data:
brew install git-lfs # if you're a Mac / brew user
git lfs install
cd antakia
git lfs track "*.csv"
git add .gitattributes
git lfs fetch
git lfs checkout
Reference : see Git-LFS website
[!IMPORTANT] Install your antakia env in IPython, in order to select it from Jupyter :
python -m ipykernel install --user --name antakia --display-name "Antakia"
Finally, launch Jupyter server from antakia
folder :
jupyter notebook
and open a notebook .ipynb file in example
folder.
Troubleshooting
If you get JS errors in your notebook / see broken link icons for each widget / see this kind of errors 404 GET /static/jupyterlab-plotly.js
or other missing JS library :
- try to remove your local
etc/
folder inantakia
folder - try
jupyter lab
instead ofjupyter notebook
- probably useless but worth trying :
jupyter nbextension enable --py widgetsnbextension
- try to
pip install --force-reinstall
ipywidgets widgetsnbextension
Install and run with Docker
[!IMPORTANT] Be sure to have a Docker engine running on your computer (ie. launch Docker Desktop)
docker build -t demo-antakia .
docker run -p 8888:8888 demo-antakia
In your Terminal, click on the http://127.0.0.1:8888/lab?token=WHATEVER_YOUR_TOKEN_IS URL
link.
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