class_docstr: Base class for all featurizers.
class_docstr_tok: ["Base","class","for","all","featurizers","."]
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."""
      ...
  
file_path: rasa/rasa/nlu/featurizers/featurizer.py
imports: from __future__ import annotations
  from abc import abstractmethod, ABC
  from collections import Counter
  from typing import Generic, Iterable, Text, Optional, Dict, Any, TypeVar
  from rasa.nlu.constants import FEATURIZER_CLASS_ALIAS
  from rasa.shared.nlu.training_data.features import Features
  from rasa.shared.nlu.training_data.message import Message
  from rasa.shared.exceptions import InvalidConfigException
  from rasa.shared.nlu.constants import FEATURE_TYPE_SENTENCE, FEATURE_TYPE_SEQUENCE
label_desc: Use image node_id 3 for calling the Featurizer obj's underlying member method code with example usage: obj.validate_config(cls, config) without return types