thanks @tyd for the revert. checked it with --debug
I see that as one enters the text , DIETClassifer is firing and classifying it as as one of the intents in nlu.md “ask_question” and matching the appropriate entities trained in Inform intent and EmpCode is one of the entities.
However, my understanding was that the text/content in a unfeaturized slot should not trigger prediction? I would expect it to just pick up the text and store in the slot for it to be saved. is it not ?
unfeaturized slots to simply store the information without influencing the predictions.(taken from RASA Blog) .
any thoughts ?