config.yml

# Configuration for Rasa NLU.
# https://rasa.com/docs/rasa/nlu/components/
language: zh

pipeline:
  - name: SpacyNLP                   # 预训练词向量
    model: "zh_core_web_md"
  - name: SpacyTokenizer          # 文本分词器
  - name: SpacyEntityExtractor    #特征提取器 将一句话变成一个向量
  - name: SpacyFeaturizer         #文本特征化
    pooling: mean
  - name: CountVectorsFeaturizer  #创建用户信息和标签(意图和响应)的词袋表征 为意图分类和 response selection创建特征
  - name: CountVectorsFeaturizer
    analyzer: "char_wb"
    min_ngram: 1
    max_ngram: 4
  - name: DIETClassifier              #意图分类
    epochs: 100
  - name: EntitySynonymMapper   #同义实体
  - name: ResponseSelector
    epochs: 100

# Configuration for Rasa Core.
# https://rasa.com/docs/rasa/core/policies/
policies:
  - name: RulePolicy
  - name: MemoizationPolicy
  - name: TEDPolicy
    max_history: 5
    epochs: 100
  - name: MappingPolicy