language: es pipeline: - name: "SpacyNLP" model: "es_core_news_lg" case_sensitive: False - name: "SpacyTokenizer" # Flag to check whether to split intents "intent_tokenization_flag": False - name: "SpacyFeaturizer" # Specify what pooling operation should be used to calculate the vector of # the complete utterance. Available options: 'mean' and 'max'. "pooling": "mean" - name: LexicalSyntacticFeaturizer - name: CountVectorsFeaturizer - name: CountVectorsFeaturizer analyzer: "char_wb" min_ngram: 1 max_ngram: 4 - name: DIETClassifier epochs: 100 ranking_length: 5 use_masked_language_model: True - name: EntitySynonymMapper - name: ResponseSelector epochs: 100 retrieval_intent: faq - name: ResponseSelector epochs: 100 retrieval_intent: chichat policies: - name: MemoizationPolicy - name: RulePolicy - name: TEDPolicy max_history: 10 epochs: 100