class_docstr: A class that featurizes using Mitie.
class_docstr_tok: ["A","class","that","featurizes","using","Mitie","."]
docstr: Validates that the component is configured properly.
docstr_tok: ["Validates","that","the","component","is","configured","properly","."]
code: def validate_config(cls, config: Dict[Text, Any]) -> None:
      """Validates that the component is configured properly."""
      pass
  
imports: from __future__ import annotations
  import numpy
  import logging
  import typing
  from typing import Any, List, Text, Dict, Tuple, Type
  from rasa.engine.graph import GraphComponent, ExecutionContext
  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.featurizers.dense_featurizer.dense_featurizer import DenseFeaturizer
  from rasa.nlu.tokenizers.tokenizer import Token, Tokenizer
  from rasa.nlu.constants import DENSE_FEATURIZABLE_ATTRIBUTES, FEATURIZER_CLASS_ALIAS, TOKENS_NAMES
  from rasa.nlu.utils.mitie_utils import MitieModel, MitieNLP
  from rasa.utils.tensorflow.constants import MEAN_POOLING, POOLING
  from rasa.shared.nlu.training_data.features import Features
  from rasa.shared.nlu.training_data.message import Message
  from rasa.shared.nlu.constants import FEATURE_TYPE_SENTENCE, FEATURE_TYPE_SEQUENCE
  from rasa.shared.nlu.training_data.training_data import TrainingData
label_desc: Use image node_id 6 for calling the MitieFeaturizer obj's underlying member method code with example usage: obj.validate_config(cls, config) without return types