Configuration for Rasa NLU.
# 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 Tuning Your NLU Model for more information.
- name: WhitespaceTokenizer
- name: RegexFeaturizer
- name: LexicalSyntacticFeaturizer
- name: CountVectorsFeaturizer
- name: CountVectorsFeaturizer analyzer: char_wb min_ngram: 1 max_ngram: 4
- name: DIETClassifier epochs: 100
- name: EntitySynonymMapper
- name: ResponseSelector epochs: 100
- name: FallbackClassifier
Configuration for Rasa Core.
# 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 Policies for more information.
- name: FormPolicy
- name: MemoizationPolicy max_history: 1
- name: RulePolicy
- name: TEDPolicy max_history: 3 epochs: 100
in this image: my intent is AssetMaintenance_WO_Details and entity: (‘WO_number’,) and the action is : Action_WorkOrder_Details : that are defined by me
And in this image: intent,entity and action changed because it not predict accurate action
in my RASA 2.0 chatbot,some of action are not predicted accurate . what should i do know ,modify my config file or something else? I’m new in RASA,Anyone can help me in this issue ?