# Configuration for Rasa NLU. language: de pipeline: - name: SpacyNLP model: "de_core_news_md" - name: SpacyTokenizer - name: SpacyFeaturizer - name: RegexFeaturizer - name: LexicalSyntacticFeaturizer - name: CountVectorsFeaturizer - name: CountVectorsFeaturizer analyzer: "char_wb" min_ngram: 1 max_ngram: 4 - name: DucklingHTTPExtractor url: http://localhost:8000 dimensions: - email - number - time - phone-number locale: "de_DE" timezone: "Europe/Berlin" - name: "SpacyEntityExtractor" dimensions: ["PER"] - name: DIETClassifier epochs: 100 entity_recognition: False - name: EntitySynonymMapper - name: ResponseSelector # Configuration for Rasa Core. policies: - max_history: 4 name: MemoizationPolicy - name: TEDPolicy max_history: 4 epochs: 100 - name: MappingPolicy - name: FormPolicy - core_threshold: 0.3 name: FallbackPolicy nlu_threshold: 0.4 fallback_action_name: action_custom_fallback