Open yinxi-db opened 2 years ago
For a regression model explainer below
explainer = LimeTabularExplainer(X_train, feature_names, mode="regression") exp = explainer.explain_instance(X_test[0], model, num_features=11)
The returned explanation still has two intercept
print(exp.intercept) >>>{0: 6.051529868550603, 1: 6.051529868550603}
exp.intercept[0] and exp.intercept[1] are duplicated values. The same applies to exp.local_exp[0] and exp.local_exp[0]. Suggest to consolidate the regression explanation object.
exp.intercept[0]
exp.intercept[1]
exp.local_exp[0]
For a regression model explainer below
The returned explanation still has two intercept
exp.intercept[0]andexp.intercept[1]are duplicated values. The same applies toexp.local_exp[0]andexp.local_exp[0]. Suggest to consolidate the regression explanation object.