Training model before running cross validation

[bsir]

Hey Everyone,

I was wondering why it seems necessary to run rasa train before running rasa test nlu --cross-validation. I assume the model should get trained on the training split during the cross-validation process anyway, correct? I just want to make sure I’m not accidentally leaking some nlu examples from the test set into the training set.

Apologies if this is a silly question, I’m brand new to Rasa.

[nik202]

@bsir Hope this will help you.

How the test/train split works in rasa

@AminaDerouiche It is a benchmark or recommended while training the model we consider 80:20 ratio is a standard starting point to train and test our model. In RASA they have set the default 0.8 as mention: –training-fraction TRAINING_FRACTION Percentage of the data which should be in the training data. (default: 0.8) Reference 1: Testing Your Assistant Reference 2: https://rasa.com/docs/rasa/command-line-interface#rasa-data-splithttps://rasa.com/docs/rasa/command-line-interface#rasa-data-sp…