/examples/rules/config.yml

recipe: default.v1
assistant_id: rules_bot
language: en

pipeline:
  - name: WhitespaceTokenizer
  - name: LexicalSyntacticFeaturizer
  - name: CountVectorsFeaturizer
    token_pattern: (?u)\b\w+\b
  - name: DucklingEntityExtractor
    url: http://localhost:8000
    dimensions:
    - number
  - name: DIETClassifier
    epochs: 100
  - name: EntitySynonymMapper
  - name: FallbackClassifier
    # If the highest ranked intent has a confidence lower than the threshold than
    # the NLU pipeline predicts an intent `nlu_fallback` which you can then use in
    # stories / rules to implement an appropriate fallback.
    threshold: 0.5

policies:
  - name: RulePolicy
    # Confidence of the prediction if no rule matched and de-facto threshold for a
    # core fallback.
    core_fallback_threshold: 0.3
    # Name of the action which should be predicted if no rule matched.
    core_fallback_action_name: "action_default_fallback"
    # If `True` `core_fallback_action_name` is predicted in case no rule matched.
    enable_fallback_prediction: True