config.yml

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

pipeline:
# # No configuration for the NLU pipeline was provided. The following default pipeline was used to train your model.
# # If you'd like to customize it, uncomment and adjust the pipeline.
# # See https://rasa.com/docs/rasa/tuning-your-model for more information.
- name: "SpacyNLP"
  model: "en_core_web_md"
  case_sensitive: False
- name: "SpacyTokenizer"
- name: "SpacyFeaturizer"
  pooling: "mean"
- name: RegexFeaturizer
- name: LexicalSyntacticFeaturizer
- name: CountVectorsFeaturizer
  analyzer: char_wb
  min_ngram: 3
  max_ngram: 4
- name: CountVectorsFeaturizer
  analyzer: word
  min_ngram: 1
  max_ngram: 1
- name: CRFEntityExtractor
- name: RegexEntityExtractor
- name: EntitySynonymMapper
- name: DIETClassifier 
  entity_recognition: False 
  constrain_similarities: true
  model_confidence: "softmax"
  epochs: 35
  random_seed: 22
- name: ResponseSelector
  epochs: 100
  constrain_similarities: true
  model_confidence: "softmax"
- name: FallbackClassifier
  threshold: 0.55
  ambiguity_threshold: 0.1

# Configuration for Rasa Core.
# https://rasa.com/docs/rasa/core/policies/


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: TEDPolicy
    max_history: 5
    epochs: 100
    constrain_similarities: true
    model_confidence: "softmax"
  - name: RulePolicy