class_docstr: Intent classifier which uses the `mitie` library.
class_docstr_tok: ["Intent","classifier","which","uses","the","`","mitie","`","library","."]
docstr: Creates component for training see parent class for full docstring).
docstr_tok: ["Creates","component","for","training","see","parent","class","for","full","docstring",")","."]
code: def create(
      cls,
      config: Dict[Text, Any],
      model_storage: ModelStorage,
      resource: Resource,
      execution_context: ExecutionContext,
  ) -> MitieIntentClassifier:
      """Creates component for training see parent class for full docstring)."""
      return cls(config, model_storage, resource)
  
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 8 for calling the MitieIntentClassifier obj's underlying member method code with example usage: obj.create(cls, config, model_storage, resource, execution_context) and returns: cls