config.yml

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

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: RegexFeaturizer
  - name: LexicalSyntacticFeaturizer
  - name: CountVectorsFeaturizer
    analyzer: char_wb
    min_ngram: 1
    max_ngram: 4
  - name: DIETClassifier
    epochs: 300
    embedding_dimension: 100
    transformers_layers: 4
    # hidden_layers_sizes: 
    #   text: [256, 128]
    #   label: [256, 128]
    constrain_similarities: True
    entity_recognition: True
    model_confidence: softmax
#   - name: EntitySynonymMapper
#   - name: ResponseSelector
#     epochs: 100
#     constrain_similarities: true
  - name: FallbackClassifier
    threshold: 0.2
    ambiguity_threshold: 0.05

# 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
     tolerance: 1
   - name: TEDPolicy
     max_history: 5
     epochs: 100
     constrain_similarities: true