| # Configuration for Rasa NLU. | |
| # https://rasa.com/docs/rasa/nlu/components/ | |
| language: en | |
| pipeline: | |
| - name: SpacyNLP | |
| - name: SpacyTokenizer | |
| - name: SpacyFeaturizer | |
| - 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: 0.6 | |
| 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: TEDPolicy | |
| # max_history: 5 | |
| # epochs: 100 | |
| # constrain_similarities: true | |