code: def register_loss(features: Union[str, List[str]]):
      if isinstance(features, str):
          features = [features]
  
      def wrap(cls: Type[BaseLossConfig]):
          _loss_registry[cls.type] = cls
          for feature in features:
              feature_registry = _loss_feature_registry.get(feature, {})
              feature_registry[cls.type] = cls
              _loss_feature_registry[feature] = feature_registry
          return cls
  
      return wrap
  
imports: from typing import Dict, List, Type, Union
  from ludwig.api_annotations import DeveloperAPI
  from ludwig.constants import BINARY, BINARY_WEIGHTED_CROSS_ENTROPY, CATEGORY, CORN, HUBER, MEAN_ABSOLUTE_ERROR, MEAN_ABSOLUTE_PERCENTAGE_ERROR, MEAN_SQUARED_ERROR, NEXT_TOKEN_SOFTMAX_CROSS_ENTROPY, NUMBER, ROOT_MEAN_SQUARED_ERROR, ROOT_MEAN_SQUARED_PERCENTAGE_ERROR, SEQUENCE, SEQUENCE_SOFTMAX_CROSS_ENTROPY, SET, SIGMOID_CROSS_ENTROPY, SOFTMAX_CROSS_ENTROPY, TEXT, TIMESERIES, VECTOR
  from ludwig.schema import utils
  from ludwig.schema.metadata import LOSS_METADATA
  from ludwig.schema.utils import ludwig_dataclass
  from ludwig.utils.registry import Registry
label_desc: Use image node_id 4 for calling a global function with example usage: register_loss(features) and returns: wrap, cls