Hey RASA team, Instead of DIET Classifier, how can I use my own ML classifier like Naive Bayes or other similar? Plz, provide such links and also make a small video of implementing that. We already know that RASA's DIET is super-advanced, but for research purposes, playing with other classifiers will also help us to develop interesting AI assistants.
(Vincent here) We've implemented a few of these over at github.com/RasaHQ/rasa-nlu-examples. Would this suffice? Note that NaiveBayes likely won't perform as well as DIET but it may certainly be faster to train.
hello，could you please tell me，where is the url about the video in algorithm whiteboard series，that you said in viedo？ Thanks！
Hey RASA team, Instead of DIET Classifier, how can I use my own ML classifier like Naive Bayes or other similar? Plz, provide such links and also make a small video of implementing that. We already know that RASA's DIET is super-advanced, but for research purposes, playing with other classifiers will also help us to develop interesting AI assistants.
(Vincent here)
We've implemented a few of these over at github.com/RasaHQ/rasa-nlu-examples. Would this suffice? Note that NaiveBayes likely won't perform as well as DIET but it may certainly be faster to train.