I am trying to understand Rasa Stack and create a chatbot.While rasa_nlu looks straightforward,i am more interested to know how machine learning is applicable to Rasa_core ? Understand that rasa core model training required stories and domain file.
My question is -
- How based on these two files features are being created for training the supervised ML algorithm ?
- Any NLU framework will provide intent and entities based on which rasa_core will take descisons.So how does the rasa_core use the intents and entities for prediction ? Basically i am not very clear with how rasa_core policy works.
Any articles,whitepapers suggestions around above queries will be appreciated !