Graduate-level tutorial demonstrating SHAP (Shapley values) for explaining atmospheric ML models.
mamba env create -f environment.yml
mamba activate atms-shap
jupyter lab
# open notebooks/ATMS_SHAP_Tutorial.ipynbOr with pip:
python -m venv .venv && source .venv/bin/activate # (on Windows use .venv\Scripts\activate)
pip install -r requirements.txt
jupyter labnotebooks/ATMS_SHAP_Tutorial.ipynb— main tutorialdata/sample_heavyrain_features.csv— small synthetic sample (optional)environment.yml/requirements.txt— dependencies
MIT