# 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: RegexEntityExtractor - name: LexicalSyntacticFeaturizer - name: SpacyNLP model: en_core_web_md case_sensitive: False - name: CountVectorsFeaturizer - name: CountVectorsFeaturizer analyzer: char_wb min_ngram: 1 max_ngram: 4 - name: DIETClassifier epochs: 100 constrain_similarities: true model_confidence: softmax - name: EntitySynonymMapper - name: ResponseSelector epochs: 100 constrain_similarities: true model_confidence: softmax - name: FallbackClassifier threshold: 0.7 #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 # - name: MemoizationPolicy # - name: TEDPolicy # max_history: 5 # epochs: 100 # constrain_similarities: true # model_confidence: cosine - name: RulePolicy # Confidence threshold for the `core_fallback_action_name` to apply. # The action will apply if no other action was predicted with # a confidence >= core_fallback_threshold core_fallback_threshold: 0.4 core_fallback_action_name: "action_default_fallback" enable_fallback_prediction: True