antakia 0.2.3

AI made Xplainable

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 in antakia folder
• try jupyter lab instead of jupyter 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.