Is it possible to somehow add stackingclassifier to the algorithm?

I tried to do Stackingclassifier and I got an error:
"TypeError: stat: path should be string, bytes, os.PathLike or integer, not StackingClassifier"

Is there are work around it? My config dict looked like this:
models = [
('rf', RandomForestClassifier()),
('et', ExtraTreesClassifier())
]
config_dict = StackingClassifier(estimators=estimators, final_estimator=LogisticRegression())

Is there any way to implement this in to TPOT?
any help would be appreciated. :)