config.yml

recipe: default.v1

language: en

pipeline:
- name: "SpacyNLP"
  model: "en_core_web_sm"
- name: SpacyTokenizer
- name: SpacyEntityExtractor
  dimensions: ["DATE","TIME"]
- name: SpacyFeaturizer
  pooling: mean
- name: RegexFeaturizer
- name: LexicalSyntacticFeaturizer
- name: CountVectorsFeaturizer
  analyzer: char_wb
  min_ngram: 1
  max_ngram: 4
- name: DIETClassifier
  epochs: 100
  constrain_similarities: true
- name: FallbackClassifier
  threshold: 0.5
  ambiguity_threshold: 0.1
- name: EntitySynonymMapper
- name: ResponseSelector
  epochs: 100

policies:
# # No configuration for policies was provided. The following default policies were used to train your model.
# # If you'd like to customize them, uncomment and adjust the policies.
# # See https://rasa.com/docs/rasa/policies for more information.
  - name: MemoizationPolicy
  - name: RulePolicy
  - name: UnexpecTEDIntentPolicy
    max_history: 5
    epochs: 100
  - name: TEDPolicy
    max_history: 5
    epochs: 100
    constrain_similarities: true
  - name: UnexpecTEDIntentPolicy
    max_history: 5
    epochs: 100
  - name: TEDPolicy
    max_history: 5
    epochs: 100
    constrain_similarities: true