# The config recipe. # https://rasa.com/docs/rasa/model-configuration/ recipe: default.v1 # 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 # constrain_similarities: true # - name: EntitySynonymMapper # - name: ResponseSelector # epochs: 100 # constrain_similarities: true # - name: FallbackClassifier # threshold: 0.3 # 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 # - name: RulePolicy # - name: UnexpecTEDIntentPolicy # max_history: 5 # epochs: 100 # - name: TEDPolicy # max_history: 5 # epochs: 100 # constrain_similarities: true