How to apply shap model to DF model to interpret features?

[Leopoldxxx]

How to apply shap model to DF model to interpret features? I tried to apply it directly, but suggested that the model was not in the SHAP package.
https://github.com/slundberg/shap.

I suggest that the author improve the interpretability of the DF model,thanks.

[xuyxu]

Hi @Leopoldxxx, deep forest is currently not supported by SHAP, which requires much work from contributors in that community ;-(

[rebel55555]

Hi @Leopoldxxx , you can try using the following:

model = CascadeForestClassifier(random_state=1)
explainer = shap.Explainer(model.predict,X_val.values)
shap_values = explainer(X_val)
shap.plots.bar(shap_values)

It might work for you.