My problem is: when I add new stories to my stories stack, TED predicts right next actions but with confidence lower whan 0.4. And it causes action_default_fallback (I established core_fallback_threshold: 0.4)
- When I train model with stories number.yml, pass.yml, service.yml, specification.yml prediction works great
- When I train model with all of the previous stories and debt.yml in addition, TED predicts next action for intent ask_for_specification right, but with low confidence:
2021-06-04 16:34:17 DEBUG rasa.core.policies.ted_policy - TED predicted 'utter_ask_for_specification_old_customer' based on user intent with confidence 0.29507872462272644
I use separated NLU and Action Server and connect to them by API. Here I provide small version of Action Server, just to illustrate stories befaviour. actions.py (6.9 KB)
Why these debt.yml stories affects the other sories? And maybe I need to use some specific configurations for TED Policy to train?