Hey there!
First of all, great job for Rasa X it is a very nice feature !
I’ve been working with Rasa NLU/Core v0.x.x for over a year now not as a pip module but directly using the source code because I need to slightly change it for my applications (GPU, custom message broker, etc.) .
I’m used to play directly with the python code for launching my servers, training my models, etc. With the new version Rasa 1.0, I don’t know where to find such entry points. I know your are transiting towards a new CLI features but I’m confused how to use it directly using the python code.
Could someone enlighten me ?
Regards,
Alex
PS - here are some examples
PYTHONPATH=…/…/ python …/…/rasa_nlu/evaluate.py --data data/nlu_data.md --config …/…/sample_configs/tf_embedding.yml --mode crossvalidation
PYTHONPATH=…/…/ python …/…/rasa_core/train.py interactive -o models/demo -d domain.yml -s data/stories.md --config policy_embedding.yml --endpoints endpoints.yml --augmentation 0 -u default/