# SklearnIntentClassifier rasa 3.0

**URL:** <https://forum.rasa.com/t/sklearnintentclassifier-rasa-3-0/57761>\
**Category:** Rasa Open Source\
**Created:** [March 28, 2023, 10:29am UTC](https://forum.rasa.com/t/sklearnintentclassifier-rasa-3-0/57761 "2023-03-28T10:29:39Z")\
**Posts on this page:** 1\
**Showing post:** 5

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**Author:** ![YenQ](https://avatars.discourse-cdn.com/v4/letter/y/51bf81/32.png) [@YenQ](https://forum.rasa.com/u/YenQ)\
**Post date:** [December 2, 2024, 3:14am UTC](https://forum.rasa.com/t/sklearnintentclassifier-rasa-3-0/57761/5 "2024-12-02T03:14:55Z")

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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

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