code: def __init__(self, y: Series, y_uncleaned: Series):
      super().__init__(y=y, y_uncleaned=y_uncleaned)
      self.label_cleaner_binary = LabelCleanerBinary(
          y=y.map(self.inv_map)
      )
      self.problem_type_transform = (
          self.label_cleaner_binary.problem_type_transform
      )
  
imports: import copy
  import logging
  from typing import Union
  import numpy
  from pandas import DataFrame, Series
  from autogluon.core.constants import BINARY, MULTICLASS, QUANTILE, REGRESSION, SOFTCLASS
  from autogluon.core.utils import get_pred_from_proba, get_pred_from_proba_df
label_desc: Use image node_id 1 to create a new LabelCleanerMulticlassToBinary object from inherited base classes: LabelCleanerMulticlass with example: obj = LabelCleanerMulticlassToBinary(y, y_uncleaned)