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  1. # The config recipe.
  2. # https://rasa.com/docs/rasa/model-configuration/
  3. recipe: default.v1
  4. # Configuration for Rasa NLU.
  5. # https://rasa.com/docs/rasa/nlu/components/
  6. language: en
  7. pipeline:
  8. # No configuration for the NLU pipeline was provided. The following default pipeline was used to train your model.
  9. # If you'd like to customize it, uncomment and adjust the pipeline.
  10. # See https://rasa.com/docs/rasa/tuning-your-model for more information.
  11. - name: WhitespaceTokenizer
  12. - name: LexicalSyntacticFeaturizer
  13. - name: CountVectorsFeaturizer
  14. - name: CountVectorsFeaturizer
  15. analyzer: char_wb
  16. min_ngram: 1
  17. max_ngram: 4
  18. - name: RegexFeaturizer
  19. - name: DIETClassifier
  20. epochs: 100
  21. constrain_similarities: true
  22. - name: EntitySynonymMapper
  23. - name: ResponseSelector
  24. epochs: 100
  25. constrain_similarities: true
  26. - name: FallbackClassifier
  27. threshold: 0.3
  28. ambiguity_threshold: 0.1
  29. # Configuration for Rasa Core.
  30. # https://rasa.com/docs/rasa/core/policies/
  31. policies:
  32. # # No configuration for policies was provided. The following default policies were used to train your model.
  33. # # If you'd like to customize them, uncomment and adjust the policies.
  34. # # See https://rasa.com/docs/rasa/policies for more information.
  35. # - name: MemoizationPolicy
  36. # - name: RulePolicy
  37. # - name: UnexpecTEDIntentPolicy
  38. # max_history: 5
  39. # epochs: 100
  40. # - name: TEDPolicy
  41. # max_history: 5
  42. # epochs: 100
  43. # constrain_similarities: true