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

pipeline:
  - name: SpacyNLP
    model: "en_core_web_md"
    case_sensitive: False
  - 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
  - name: EntitySynonymMapper
  - name: ResponseSelector
    epochs: 100
  - name: FallbackClassifier
    threshold: 0.8
    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
    max_history: 1
  - name: RulePolicy
  - name: TEDPolicy
    max_history: 1
    epochs: 200
    constrain_similarities: true