Hello Rasa Comunity,
I am currently working on project about NLP model explainability. I was given with 2 files: - nlu.yml - models.tar.gz - No stories, domains, rules and other files. Just classify the right intent and entity
Can I load my model file into Jupyter Notebook and transfer/treat them as models of sklearn and tensorflow because I need to use LIME and SHAP for post-evaluation and explainability. Or any similar tools/API already installed in RASA that satisfying my requirement? I’ve already have looked on search engine and rasa community but most of them are version 2x solution.
Looking forwards to seeing your help!! Thank you!!!