💬 Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants
Description
It's time for a big step 🔥 After having migrated all components, implementing rasa.engine, creating the new components for the graph, and implementing the graph generation using the recipes it is time to integrate everything together.
Definition of Done
[ ] rasa train trains using the graph architecture (+ the variants like rasa train nlu/core)
[ ] rasa run loads graph architecture models and is able to make predictions with it
[ ] The test suit passes
[ ] the model accuracy didn't drop (I think we need to do that as part of this one as it will be a pain to find the issue later on; also not expecting any issues here)
Things which don't need to be done
Making sure all no longer needed code is deleted (we can do that separately)
Assessing / improving performance will be a separate issue
Description It's time for a big step 🔥 After having migrated all components, implementing
rasa.engine
, creating the new components for the graph, and implementing the graph generation using the recipes it is time to integrate everything together.Definition of Done
rasa train
trains using the graph architecture (+ the variants likerasa train nlu/core
)rasa run
loads graph architecture models and is able to make predictions with itThings which don't need to be done