How to use ShapModelInterpreter for SVC (multi-class)?

[jeong2624]

I ran the function ShapModelInterpreter(X, y), but the error occurs.
AttributeError: 'SVC' object has no attribute 'classes_'

How can I obtain a SHAP feature importance plot for a multi-class SVC model?

If you read this message, please resolve the issue as quickly as possible.

Environment (please complete the following information):

probatus version : 3.1.0
python version : 3.9.0
OS: macOS

To Reproduce

Put your code here

from probatus.interpret import ShapModelInterpreter
model = SVC(random_state = 42, probability = True, kernel = "linear")
shap_interpreter = ShapModelInterpreter(model)
feature_importance = shap_interpreter.fit_compute(X_train, X_test, y_train, y_test)