config.production.yml

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

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: 200
  - name: EntitySynonymMapper
  - name: ResponseSelector
    scale_loss: false
    epochs: 100
    retrieval_intent: faq
  - name: ResponseSelector
    scale_loss: false
    epochs: 100
    retrieval_intent: chitchat
  - name: FallbackClassifier
    threshold: 0.6
    ambiguity_threshold: 0.1
  - name: "DucklingEntityExtractor"
    # url of the running duckling server
    url: "http://duckling:8000"
    locale: "es_GB"
    # dimensions to extract
    dimensions:
    - number
    - email
  - name: SpacyNLP
    model: "es_core_news_md"
    case_sensitive: false
  - name: "SpacyEntityExtractor"
    dimensions:
    - PERSON

# 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: RulePolicy
  core_fallback_threshold: 0.3
  core_fallback_action_name: "action_default_fallback"
  enable_fallback_prediction: True
- max_history: 6
  name: AugmentedMemoizationPolicy
- name: TEDPolicy
  max_history: 10
  epochs: 20
  batch_size:
  - 32
  - 64