code: def check_gbm_output_type(
      config: "ModelConfig",
  ) -> None:  # noqa: F821
      """Checks that the output features for GBMs are of supported types."""
      if config.model_type == MODEL_GBM:
          for output_feature in config.output_features:
              if output_feature.type not in {BINARY, CATEGORY, NUMBER}:
                  raise ConfigValidationError(
                      "GBM Models currently only support Binary, Category, and Number output features."
                  )
  
imports: from abc import ABC, abstractmethod
  from re import findall
  from typing import Callable, TYPE_CHECKING
  from transformers import AutoConfig
  from ludwig.api_annotations import DeveloperAPI
  from ludwig.constants import AUDIO, BINARY, CATEGORY, IMAGE, IN_MEMORY, MIN_QUANTIZATION_BITS_FOR_MERGE_AND_UNLOAD, MODEL_ECD, MODEL_GBM, MODEL_LLM, NUMBER, SEQUENCE, SET, TEXT, TIMESERIES, VECTOR
  from ludwig.error import ConfigValidationError
  from ludwig.utils.metric_utils import get_feature_to_metric_names_map_from_feature_collection
  from ludwig.utils.misc_utils import merge_dict
label_desc: Use image node_id 7 for calling a global function with example usage: check_gbm_output_type(config) without return types