i wanted to know in short about how the following pipline and policies are created in rasa house…what kind of algorithms that is used to create the following piplines and policies? - name: "DucklingEntityExtractor" url: "http://localhost:8000" dimensions: ["time", "email"] # timezone: "Ethiopia/addis abeba" timeout: 3 - name: WhitespaceTokenizer - name: RegexFeaturizer - name: RegexEntityExtractor - name: LexicalSyntacticFeaturizer - name: CountVectorsFeaturizer - name: CountVectorsFeaturizer analyzer: "char_wb" min_ngram: 1 max_ngram: 4 #- name: CRFEntityExtractor - name: DIETClassifier epochs: 100 - name: EntitySynonymMapper - name: ResponseSelector epochs: 100 #retrieval_intent: faq - name: FallbackClassifier threshold: 0.7 ``` ```policies: - name: MemoizationPolicy - name: TEDPolicy max_history: 8 epochs: 200 #- name: "coco_rasa.CoCoContextPolicy" - name: RulePolicy```

Can anyone explain me the following components from rasa house?

j.mosig (Johannes Mosig) December 17, 2020, 3:09pm 21

Please have a look at the docs: Components

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