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Experiments with SHAP values in interactive multiobjective optimization.

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Shapley values in multiobjective optimization

Installation

To install the project, clone it and install it using poetry:

$ git clone [email protected]:gialmisi/shap-experiments.git
$ cd shap-experiments
$ poetry install

Notebooks

There are some notebooks in notebooks/ to play around with. If you installed the project using poetry, you can run jupyter-lab to launch a Jupyter lab session in your web browser to access the notebooks. You might need to install a custom kernel so that Jupyter is able to pick up on the environemnt created by poetry. To add a custom kernel named SHAP, issue the follwoing command:

$ python -m ipykernel install --user --name SHAP

Remember to select the right kernel in the Jupyter lab environment!

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  • Jupyter Notebook 93.0%
  • Python 7.0%