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An R package for computing asymmetric Shapley values to assess causality in any trained machine learning model

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Hi, I've tried to extract the pairwise shap interaction returned by the shap.scatter plot. I've noticed that shap_interaction(X_i, X_j) != shap_interaction(X_j, X_i), Thus if we immagine a MxM interaction matrix,...

At present, the package only works with single-outcome regression models. This isn't stated anywhere and, well, the logo seems to imply otherwise. Fix.

enhancement

I dumped the `adult_dataset` that you mention in ReadMe into a csv and run a [RandomForestClassifier](https://scikit-learn.org/stable/modules/generated/sklearn.ensemble.RandomForestClassifier.html) with almost same settings and calculate shap values from the [SHAP](https://github.com/slundberg/shap) package library in...

Within setup.py, the opening of README.md requires utf-8 encoding. Otherwise installation fails.