class_docstr: Intent classifier which uses the `mitie` library.
class_docstr_tok: ["Intent","classifier","which","uses","the","`","mitie","`","library","."]
docstr: Components that should be included in the pipeline before this component.
docstr_tok: ["Components","that","should","be","included","in","the","pipeline","before","this","component","."]
code: def required_components(cls) -> List[Type]:
      """Components that should be included in the pipeline before this component."""
      return [MitieNLP, Featurizer]
  
imports: from __future__ import annotations
  import logging
  from rasa.nlu.featurizers.featurizer import Featurizer
  import typing
  from typing import Any, Dict, List, Optional, Text, Type
  from rasa.engine.graph import ExecutionContext, GraphComponent
  from rasa.engine.recipes.default_recipe import DefaultV1Recipe
  from rasa.engine.storage.resource import Resource
  from rasa.engine.storage.storage import ModelStorage
  from rasa.nlu.classifiers.classifier import IntentClassifier
  from rasa.nlu.utils.mitie_utils import MitieModel, MitieNLP
  from rasa.nlu.constants import TOKENS_NAMES
  from rasa.shared.nlu.constants import TEXT, INTENT
  from rasa.shared.nlu.training_data.training_data import TrainingData
  from rasa.shared.nlu.training_data.message import Message
label_desc: Use image node_id 1 for calling the MitieIntentClassifier obj's underlying member method code with example usage: obj.required_components(cls) and returns: list