nodes:
  nlu_message_converter:
    needs:
      messages: __message__
    uses: rasa.graph_components.converters.nlu_message_converter.NLUMessageConverter
    constructor_name: load
    fn: convert_user_message
    config: {}
    eager: true
    is_target: false
    is_input: false
    resource: null
  run_WhitespaceTokenizer0:
    needs:
      messages: nlu_message_converter
    uses: rasa.nlu.tokenizers.whitespace_tokenizer.WhitespaceTokenizer
    constructor_name: load
    fn: process
    config: {}
    eager: true
    is_target: false
    is_input: false
    resource: null
  run_RegexFeaturizer1:
    needs:
      messages: run_WhitespaceTokenizer0
    uses: rasa.nlu.featurizers.sparse_featurizer.regex_featurizer.RegexFeaturizer
    constructor_name: load
    fn: process
    config: {}
    eager: true
    is_target: false
    is_input: false
    resource:
      name: train_RegexFeaturizer1
  run_LexicalSyntacticFeaturizer2:
    needs:
      messages: run_RegexFeaturizer1
    uses: rasa.nlu.featurizers.sparse_featurizer.lexical_syntactic_featurizer.LexicalSyntacticFeaturizer
    constructor_name: load
    fn: process
    config: {}
    eager: true
    is_target: false
    is_input: false
    resource:
      name: train_LexicalSyntacticFeaturizer2
  run_CountVectorsFeaturizer3:
    needs:
      messages: run_LexicalSyntacticFeaturizer2
    uses: rasa.nlu.featurizers.sparse_featurizer.count_vectors_featurizer.CountVectorsFeaturizer
    constructor_name: load
    fn: process
    config: {}
    eager: true
    is_target: false
    is_input: false
    resource:
      name: train_CountVectorsFeaturizer3
  run_CountVectorsFeaturizer4:
    needs:
      messages: run_CountVectorsFeaturizer3
    uses: rasa.nlu.featurizers.sparse_featurizer.count_vectors_featurizer.CountVectorsFeaturizer
    constructor_name: load
    fn: process
    config:
      analyzer: char_wb
      min_ngram: 1
      max_ngram: 4
    eager: true
    is_target: false
    is_input: false
    resource:
      name: train_CountVectorsFeaturizer4
  run_DIETClassifier5:
    needs:
      messages: run_CountVectorsFeaturizer4
    uses: rasa.nlu.classifiers.diet_classifier.DIETClassifier
    constructor_name: load
    fn: process
    config:
      epochs: 100
      constrain_similarities: true
    eager: true
    is_target: false
    is_input: false
    resource:
      name: train_DIETClassifier5
  run_EntitySynonymMapper6:
    needs:
      messages: run_DIETClassifier5
    uses: rasa.nlu.extractors.entity_synonyms.EntitySynonymMapper
    constructor_name: load
    fn: process
    config: {}
    eager: true
    is_target: false
    is_input: false
    resource:
      name: train_EntitySynonymMapper6
  run_ResponseSelector7:
    needs:
      messages: run_EntitySynonymMapper6
    uses: rasa.nlu.selectors.response_selector.ResponseSelector
    constructor_name: load
    fn: process
    config:
      epochs: 100
      constrain_similarities: true
    eager: true
    is_target: false
    is_input: false
    resource:
      name: train_ResponseSelector7
  run_FallbackClassifier8:
    needs:
      messages: run_ResponseSelector7
    uses: rasa.nlu.classifiers.fallback_classifier.FallbackClassifier
    constructor_name: load
    fn: process
    config:
      threshold: 0.3
      ambiguity_threshold: 0.1
    eager: true
    is_target: false
    is_input: false
    resource: null
  run_RegexMessageHandler:
    needs:
      messages: run_FallbackClassifier8
    uses: rasa.nlu.classifiers.regex_message_handler.RegexMessageHandler
    constructor_name: load
    fn: process
    config: {}
    eager: true
    is_target: false
    is_input: false
    resource: null