Rasa version: 2.0.0
Issue:
If you pass an invalid key to a classifier no warning or error is thrown during training
Command or request that led to lack of error:
rasa train
Content of configuration file (config.yml) (if relevant):
pipeline
- name: FallbackClassifier
confidence_threshold: 0.7
(should be threshold)
Here's a similar issue with responses. button_type is not valid at this location, but validate and train don't throw an error.
utter_ask_feedback:
- buttons:
- button_type: inline
- payload: /feedback{"feedback_value":"positive"}
title: 馃憤
- payload: /feedback{"feedback_value":"negative"}
title: 馃憥
text: How is this conversation going?
The trouble with responses is depending on the channel, those keys may be valid or not. With built in classifiers, the possible keys are known.
would be great to find a general solution which also works for other NLU components than classifiers
@wochinge one way would be if each component class had an options or settings property that was a list of legitimate keys for that component. Then it could be validated like the name property is validated. wdyt?
The defaults should already give us that information 馃
Do all possible options have defaults?
looks like it. I'll use that then
wait - so you're working on this?
I'm about to unless someone else started already?
Fine for me - it's just for the 2.1 release plan 馃殌