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### Problem Description
Would be great to make Random Forest Quantile Regressor library compatible with Shap Tree Explainer
https://github.com/zillow/quantile-forest
This shouldn't be difficult to …
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We may use the shap package and provide a utility function to make things much simpler for users. See #147 for a discussion.
Alternatively, we may be able to take advantage of the tree representat…
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`import shap
explainer = shap.KernelExplainer(linear_lr.predict_proba, X_train)
shap_values = explainer.shap_values(X_train)
shap.initjs()
shap.summary_plot(shap_values[0], features=X_train, color…
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In README,
"Fast C++ implementations are supported for XGBoost, LightGBM, CatBoost, scikit-learn and pyspark tree models"
Do you reckon the current repo can be translated into a C++ version as well?…
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### Issue Description
Can anyone confirm that install with CUDA support (and, therefore, GpuTree explainer) is working in shap 0.46.0? I tried on BOTH Windows and Ubuntu 22.04, and in neither case it…
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Implementations in captum
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Hi,
The Waterfall plot example from git does not work with RandomForestRegressor and throws this error:
`Exception: waterfall_plot requires a scalar base_values of the model output as the first …
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when click on any shap how to add text with them like this image
![IMG-20221002-WA0001](https://user-images.githubusercontent.com/84989174/198124674-33b6cec8-939b-4337-bdfd-28a19c432b9f.jpg)
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I am trying to get shap_interaction values through XGBoost, and I wonder if interventional feature pertubation is not supported but it is still silently giving the zero matrix? Looking at the shap cod…
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### Problem Description
We currently only have a pretty low coverage which makes it hard to refactor certain parts of the code base. We would like to increase the coverage to make it safe for every…