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: ResponseSelector
    epochs: 100
  - name: FallbackClassifier
    threshold: 0.7
    ambiguity_threshold: 0.1
  - name: RegexEntityExtractor
    # text will be processed with case insensitive as default
    case_sensitive: False
    # use lookup tables to extract entities
    use_lookup_tables: True
    # use regexes to extract entities
    use_regexes: True
    # use match word boundaries for lookup table
    "use_word_boundaries": True
  - name: "DucklingHTTPExtractor"
    # url of the running duckling server
    url: "http://localhost:8000"
    # dimensions to extract
    dimensions: ["time"]

# 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
    constrain_similarities: true
  - name: RulePolicy