- shap.plots.monitoring(ind, shap_values, features, feature_names=None, show=True)
Create a SHAP monitoring plot.
(Note this function is preliminary and subject to change!!) A SHAP monitoring plot is meant to display the behavior of a model over time. Often the shap_values given to this plot explain the loss of a model, so changes in a feature’s impact on the model’s loss over time can help in monitoring the model’s performance.
Index of the feature to plot.
Matrix of SHAP values (# samples x # features)
- featuresnumpy.array or pandas.DataFrame
Matrix of feature values (# samples x # features)
Names of the features (length # features)