Nlu_fallback not working in rasa2.1.2 in my sample application

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1

Hi Team, I try to implement fallback policy as per rasa documentation.I have created rasa sample project in rasa 2.1.2 and added extra intent in nlu file.

  • intent: out_of_scope

    examples: |

    • I want to order food

    • What is your age?

    • How to buy a phone?

in rule.yml file:

  • rule: out-of-scope

    steps:

    • intent: nlu_fallback

    • action: utter_out_of_scope

domain.yml file: intent section: out_of_scope

response section: utter_out_of_scope:

- text: Sorry, I didn't get what you said. Please rephrase what you said.

config.yml file: pipeline section:

  • name: WhitespaceTokenizer

    • name: RegexFeaturizer

    • name: LexicalSyntacticFeaturizer

    • name: CountVectorsFeaturizer

    • name: CountVectorsFeaturizer

      analyzer: char_wb

      min_ngram: 1

      max_ngram: 4

    • name: DIETClassifier

      epochs: 100

    • name: EntitySynonymMapper

    • name: ResponseSelector

      epochs: 100

    • name: FallbackClassifier

      threshold: 0.5

      ambiguity_threshold: 0.1

policis section:

  • name: MemoizationPolicy

    • name: TEDPolicy

      max_history: 5

      epochs: 100

    • name: RulePolicy

Please help to sort out this issue. Regards, subbu.

2

@subbu_y80,did you retrain your model? Check out the docs about how to implement fallback.

3

Hi @marcos.allysson, I tried as per the rasa documentation, Still facing same issue. Can you please suggest me is there any other way to sort out this issue.

thanks, subbu.

4

you could run rasa shell --debug to check what intent your assistant is recognizing. Even run rasa interactive and teach your bot what kind of expressions are out of scope and how it should respond …