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: "xx_ent_wiki_sm"
  case_sensitive: False
- name: SpacyTokenizer
- name: SpacyFeaturizer
- name: RegexFeaturizer
- name: RegexEntityExtractor
  use_lookup_tables: true
  use_regexes: true
  case_sensitive: false
- name: CountVectorsFeaturizer
  analyzer: word
- name: CountVectorsFeaturizer
  analyzer: char_wb
  min_ngram: 2
  max_ngram: 4
- name: DIETClassifier 
  constrain_similarities: true
  model_confidence: "softmax"
  epochs: 35
- name: EntitySynonymMapper
- name: ResponseSelector
  epochs: 100
  constrain_similarities: true
  model_confidence: "softmax"
- name: FallbackClassifier
  threshold: 0.7
  ambiguity_threshold: 0.05

# 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: 101
  - name: RulePolicy
    # core_fallback_threshold: 0.3
    # core_fallback_action_name: "action_default_fallback"
    # enable_fallback_prediction: True