kaggle-munich

the notebook for Kaggle Munich SHAP 101 talk

Introduction into SHAP

SHAP trains an additional model based on the observation of custom model behaviour to determine how black box custom model making decision regarding the input features.

Create a virtual environment

For macosx apple silicon

/opt/homebrew/bin/python3.10 -m venv ~/VENV/shap3.10

Install packages

source ~/VENV/shap3.10/bin/activate
python3 -m pip install -r requirements.txt --no-cache
deactivate

Add a jupyter notebook kernel to VENV

source ~/VENV/shap3.10/bin/activate
python3 -m pip install --upgrade pip
python3 -m pip install ipykernel
deactivate

We need to reactivate the venv so that the ipython kernel is available after installation.

source ~/VENV/shap3.10/bin/activate
# ipython kernel install --user --name=shap3.10
python3 -m ipykernel install --user --name=shap3.10 --display-name "shap3.10"

Note:

restart the vs code, to select the venv as jupyter notebook kernel
name is shap3.10, which is the venv name.

Reference:

Remove ipykernel

# jupyter kernelspec uninstall -y <VENV_NAME>
jupyter kernelspec uninstall -y shap3.10

Remove all package from venv

python3 -m pip freeze | xargs pip uninstall -y
python3 -m pip list