I am running rasa_core.evaluate and getting this error:
WARNING:rasa_core.training.dsl:Found unknown intent ‘None’ on line 3. Please, make sure that all intents are listed in your domain yaml.
WARNING:rasa_core.training.dsl:Found unknown intent ‘None’ on line 11. Please, make sure that all intents are listed in your domain yaml.
WARNING:rasa_core.training.dsl:Found unknown intent ‘None’ on line 15. Please, make sure that all intents are listed in your domain yaml.
WARNING:rasa_core.training.dsl:Found unknown intent ‘None’ on line 19. Please, make sure that all intents are listed in your domain yaml.
My stories.md file looks like this:
And domain.yml lists intents
So I cannot figure out what is going wrong. I have spent hours following the stories.md text and it led me to nasa_nlu/model.py parse function. I tried to understand it with print statements, but just cannot figure it out.
Was this issue finally solved? It still happens to me.
I am evaluating a trained model through the HTTP API, with e2e=false. My test stories contains only intents that are in the domain file (actually, I am using exactly one of the stories that was used to train the model).
My test story looks like:
story_take_photo
take_photo
action_take_photo
thanks
utter_thanks
When I evaluate the story against the trained model I get low accurracy and the following warning:
WARNING rasa_core.training.dsl - Found unknown intent ‘None’ on line 3. Please, make sure that all intents are listed in your domain yaml.
WARNING rasa_core.training.dsl - Found unknown intent ‘None’ on line 5. Please, make sure that all intents are listed in your domain yaml.
However, if I perform and end to end evaluation (e2e=true), using a story that looks like this:
story_take_photo
take_photo: take me a photo please
action_take_photo
thanks: thank you
utter_thanks
I get 1 of accuracy and no warnings.
Could anyone help me with this issue?
I am using RASA CORE 0.14.5