config_v1 copy.yml

language: en
pipeline:
  - name: SpacyNLP
    model: en_core_web_md
  - name: SpacyTokenizer
  - name: SpacyFeaturizer
  - name: RegexFeaturizer
  - name: LexicalSyntacticFeaturizer
  - name: CountVectorsFeaturizer
  - name: CountVectorsFeaturizer
    analyzer: char_wb
    min_ngram: 1
    max_ngram: 4
  - name: DIETClassifier
    epochs: 100
    constrain_similarities: true
  - name: EntitySynonymMapper
  - name: ResponseSelector
    epochs: 100
    constrain_similarities: true
  - name: FallbackClassifier
    threshold: 0.5
    ambiguity_threshold: 0.1

policies:
- name: TEDPolicy
  max_history: 12
  epochs: 200
  constrain_similarities: true
- name: AugmentedMemoizationPolicy
  max_history: 5
- name: MemoizationPolicy
  max_history: 3
  priority: 4
- name: RulePolicy
  # Confidence threshold for the `core_fallback_action_name` to apply.
  # The action will apply if no other action was predicted with
  # a confidence >= core_fallback_threshold
  core_fallback_threshold: 0.3
  core_fallback_action_name: "action_default_fallback"
  enable_fallback_prediction: true


# rasa run -m models --endpoints endpoints.yml