SklearnIntentClassifier rasa 3.0

Hello, I have some problem with pipline when I try to use Underthesea tokenizer for my Vietnamese chatbot.

language: “vi”

pipeline:

  • name: “components.tokenizer.UndertheseaTokenizer”
  • name: “RegexFeaturizer”
  • name: “LexicalSyntacticFeaturizer”
  • name: “CountVectorsFeaturizer” analyzer: “char_wb” min_ngram: 1 max_ngram: 4
  • name: “CountVectorsFeaturizer”
  • name: “DIETClassifier” epochs: 100
  • name: “EntitySynonymMapper”
  • name: “ResponseSelector” epochs: 100
  • name: “FallbackClassifier” threshold: 0.3 ambiguity_threshold: 0.1 Error: rasa.engine.exceptions.GraphSchemaValidationException: 8 components are missing required components which have to run before themselves: The following components require a Tokenizer: run_CountVectorsFeaturizer3, run_CountVectorsFeaturizer4, run_LexicalSyntacticFeaturizer2, run_RegexFeaturizer1, train_CountVectorsFeaturizer3, train_CountVectorsFeaturizer4, train_LexicalSyntacticFeaturizer2, train_RegexFeaturizer1. Please add the required components to your model configuration.

Could you please help me? Can you contact me via email for easier discussion? ngohaiyen_t67@hus.edu.vn