config.yml

recipe: default.v1

language: en

pipeline:
- name: WhitespaceTokenizer
- name: CountVectorsFeaturizer
- name: LogisticRegressionClassifier
  random_state: 42
  max_iter: 100
- name: CRFEntityExtractor
    # BILOU_flag determines whether to use BILOU tagging or not.
  BILOU_flag: true
    # features to extract in the sliding window
  features: [["low", "title", "upper"], ["bias", "low", "prefix5", "prefix2", "suffix5", "suffix3", "suffix2", "upper", "title", "digit", "pattern", "text_dense_features"], ["low", "title", "upper"]]
    # The maximum number of iterations for optimization algorithms.
  "max_iterations": 50
    # weight of the L1 regularization
  "L1_c": 0.1
    # weight of the L2 regularization
  "L2_c": 0.1
    # Name of dense featurizers to use.
    # If list is empty all available dense features are used.
  "featurizers": []
    # Indicated whether a list of extracted entities should be split into individual entities for a given entity type
  "split_entities_by_comma":
    address: false
    email: true

  #- name: ResponseSelector
  #  random_seed: 666
  #  epochs: 1
- name: EntitySynonymMapper

policies:
- name: MemoizationPolicy
  max_history: 5
  use_nlu_confidence_as_score: true
- name: RulePolicy
  use_nlu_confidence_as_score: true
  core_fallback_threshold: 0.22
- name: rasa_plus.ml.IntentlessPolicy
  nlu_abstention_threshold: 0.95
assistant_id: 20230627-164356-gentle-starling