I typically don't run my model from Notebooks. Does shap support non-js plotting backends such as matplotlib?
Yes, shap supports matplotlib.
A demo from the readme:
import xgboost
import shap
# load JS visualization code to notebook
shap.initjs()
# train XGBoost model
X,y = shap.datasets.boston()
model = xgboost.train({"learning_rate": 0.01}, xgboost.DMatrix(X, label=y), 100)
# explain the model's predictions using SHAP values
# (same syntax works for LightGBM, CatBoost, and scikit-learn models)
explainer = shap.TreeExplainer(model)
shap_values = explainer.shap_values(X)
# visualize the first prediction's explanation (use matplotlib=True to avoid Javascript)
shap.force_plot(explainer.expected_value, shap_values[0,:], X.iloc[0,:], matplotlib=True)
thanks.
Most helpful comment
Yes, shap supports matplotlib.
A demo from the readme: