# Configuration for Rasa NLU.
# https://rasa.com/docs/rasa/nlu/components/
language: en

pipeline:
# # No configuration for the NLU pipeline was provided. The following default pipeline was used to train your model.
# # If you'd like to customize it, uncomment and adjust the pipeline.
# # See https://rasa.com/docs/rasa/tuning-your-model for more information.
  #  - name: WhitespaceTokenizer
  #  - name: "MitieNLP"
  # language model to load
    #  model: "data/total_word_feature_extractor.dat"
  - name: spell_checker.SpellChecker
  # - name: SpacyNLP
  #   model: en_core_web_md
  #   case_sensitive: False
  - name: ConveRTTokenizer
  - name: ConveRTFeaturizer
    model_url: "./weights/model"
  # - name: SpacyTokenizer
  # - name: SpacyFeaturizer
  - name: RegexFeaturizer
    case_sensitive: False
    use_word_boundaries: True
  - name: DIETClassifier
    epochs: 100
    constrain_similarities: true
  - name: RegexEntityExtractor
    case_sensitive: False
    use_regexes: True
    use_word_boundaries: True
  #  use_lookup_tables: True 
  - name: EntitySynonymMapper
  - name: ResponseSelector
    epochs: 100
    constrain_similarities: true
  - name: FallbackClassifier
    threshold: 0.6
#     ambiguity_threshold: 0.1

# Configuration for Rasa Core.
# https://rasa.com/docs/rasa/core/policies/
policies:
# # No configuration for policies was provided. The following default policies were used to train your model.
# # If you'd like to customize them, uncomment and adjust the policies.
# # See https://rasa.com/docs/rasa/policies for more information.
#   - name: MemoizationPolicy
   - name: RulePolicy
#   - name: UnexpecTEDIntentPolicy
#     max_history: 5
#     epochs: 100
#   - name: TEDPolicy
#     max_history: 5
#     epochs: 100
#     constrain_similarities: true