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."""
      if not config["lang"]:
          raise ValueError(
              "BytePairFeaturizer needs language setting via `lang`."
          )
      if not config["dim"]:
          raise ValueError(
              "BytePairFeaturizer needs dimensionality setting via `dim`."
          )
      if not config["vs"]:
          raise ValueError(
              "BytePairFeaturizer needs a vector size setting via `vs`."
          )
  
imports: import numpy
  import logging
  from bpemb import BPEmb
  from typing import Any, Text, Dict, List, Type
  from rasa.engine.recipes.default_recipe import DefaultV1Recipe
  from rasa.engine.graph import ExecutionContext, GraphComponent
  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 Tokenizer
  from rasa.shared.nlu.training_data.training_data import TrainingData
  from rasa.shared.nlu.training_data.features import Features
  from rasa.shared.nlu.training_data.message import Message
  from rasa.nlu.constants import DENSE_FEATURIZABLE_ATTRIBUTES, FEATURIZER_CLASS_ALIAS
  from rasa.shared.nlu.constants import TEXT, TEXT_TOKENS, FEATURE_TYPE_SENTENCE, FEATURE_TYPE_SEQUENCE
label_desc: Use image node_id 10 for calling the BytePairFeaturizer obj's underlying member method code with example usage: obj.validate_config(cls, config) without return types