code: def convert_binary_proba_to_multiclass_proba(y, as_pandas=False):
      y_index = None
      if as_pandas and isinstance(y, Series):
          y_index = y.index
      y_transformed = np.zeros([len(y), 2])
      y_transformed[:, 0] = 1 - y
      y_transformed[:, 1] = y
      if as_pandas:
          y_transformed = DataFrame(data=y_transformed, index=y_index)
      return y_transformed
  
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 4 for calling the LabelCleanerMulticlassToBinary obj's underlying member method code with example usage: obj.convert_binary_proba_to_multiclass_proba(y, as_pandas) and returns: y_transformed