I’m trying to tune parameters in intent_classifier_tensorflow_embedding . i read RASA-NLU documentation but no where they mentioned how to fine tune those parameters like they provided for sklearn intent classifier using gridseachcv.
Is there a way to automate parameter tuning for tensorflow embedding using Python API or Command line ?
Sure! I’ve had some good results with hyperopt. We plan to create a proper tutorial for this, but will probably be early next year before we get to it.