config.yml

# 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: RegexFeaturizer
  - name: LexicalSyntacticFeaturizer
  - name: CountVectorsFeaturizer
  - name: CountVectorsFeaturizer
    analyzer: char_wb
    min_ngram: 1
    max_ngram: 4
  - name: DIETClassifier
    epochs: 100
  - name: EntitySynonymMapper
  # - name: RegexEntityExtractor
  - name: ResponseSelector
    epochs: 100
    retrieval_intent: faq
  - name: ResponseSelector
    epochs: 100
    retrieval_intent: chitchat
  - name: FallbackClassifier
    threshold: 0.3
    ambiguity_threshold: 0.1
  - name: "DucklingHTTPExtractor"
    # url of the running duckling server
    url: "http://localhost:8000"
    # dimensions to extract
    dimensions: ["number", "email"]
    # allows you to configure the locale, by default the language is
    # used
    # locale: "de_DE"
    # if not set the default timezone of Duckling is going to be used
    # needed to calculate dates from relative expressions like "tomorrow"
    # timezone: "Europe/Berlin"

# 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: TEDPolicy
    max_history: 5
    epochs: 100
  - name: RulePolicy
    core_fallback_threshold: 0.4
    core_fallback_action_name: "action_default_fallback"
    enable_fallback_prediction: True