http://localhost:5005/webhooks/rest/webhook body: { “sender”:“456”, “message”:“hey?” }
response: [ { “recipient_id”: “456”, “custom”: { “blocks”: [ { “intent”: “greet”, “text”: “Hi there!”, “type”: “response” } ] } } ]
config.yml
Configuration for Rasa NLU.
Components
language: en pipeline:
- name: “WhitespaceTokenizer”
- name: “RegexFeaturizer”
- name: “CRFEntityExtractor”
- name: “EntitySynonymMapper”
- name: “CountVectorsFeaturizer”
- name: “CountVectorsFeaturizer” analyzer: “char_wb” min_ngram: 1 max_ngram: 4
- name: “DIETClassifiers”
Configuration for Rasa Core.
Policies
policies:
- name: MemoizationPolicy
- name: KerasPolicy
- name: MappingPolicy
- name: FallbackPolicy nlu_threshold: 0.7 core_threshold: 0.5 fallback_action_name: “fallback_action”
i tried with Spacy, Embedding intent classifier also.
i want intent_ranking in the response. please help me as i am new to this.
Thanks.