code: def __init__(self, y: DataFrame):
      self.problem_type_transform = SOFTCLASS
      self.num_classes = y.shape[1]
  
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 LabelCleanerSoftclass object from inherited base classes: LabelCleaner with example: obj = LabelCleanerSoftclass(y)