code: def __init__(
      self,
      *,
      normalize: bool = True,
      names: Optional[Sequence[str]] = None,
      missing_value: Optional[Union[str, int]] = None,
      neg_prefix: Optional[str] = None,
      label_smoothing: float = 0.0,
  ):
      self.cc = CategoricalCrossentropy(
          normalize=False,
          names=names,
          missing_value=missing_value,
          neg_prefix=neg_prefix,
          label_smoothing=label_smoothing,
      )
      self.normalize = normalize
  
imports: from abc import abstractmethod
  from typing import Any, Dict, Generic, List, Optional, Sequence, Tuple, TypeVar, Union, cast
  from .config import registry
  from .types import Floats2d, Ints1d
  from .util import get_array_module, to_categorical
label_desc: Use image node_id 1 to create a new SequenceCategoricalCrossentropy object from inherited base classes: Loss with example: obj = SequenceCategoricalCrossentropy()