class_docstr: Defines the DataBalanceManager for finding data balance measures
  on a dataset.
class_docstr_tok: ["Defines","the","DataBalanceManager","for","finding","data","balance","measures","on","a","dataset","."]
docstr: Take the data balance measure DataFrames, transform them into
  a dictionary, and set them as an instance variable.
  
  :param feature_balance_measures: Feature balance measures.
  :type feature_balance_measures: Dict[str, pd.DataFrame]
  :param distribution_balance_measures: Distribution balance measures.
  :type distribution_balance_measures: pd.DataFrame
  :param aggregate_balance_measures: Aggregate balance measures.
  :type aggregate_balance_measures: pd.DataFrame
docstr_tok: ["Take","the","data","balance","measure","DataFrames",",","transform","them","into","a","dictionary",",","and","set","them","as","an","instance","variable",".",":","param","feature_balance_measures",":","Feature","balance","measures",".",":","type","feature_balance_measures",":","Dict","[","str",",","pd.DataFrame","]",":","param","distribution_balance_measures",":","Distribution","balance","measures",".",":","type","distribution_balance_measures",":","pd.DataFrame",":","param","aggregate_balance_measures",":","Aggregate","balance","measures",".",":","type","aggregate_balance_measures",":","pd.DataFrame"]
code: def _set_data_balance_measures(
      self,
      feature_balance_measures: Dict[str, pd.DataFrame],
      distribution_balance_measures: pd.DataFrame,
      aggregate_balance_measures: pd.DataFrame,
  ):
      """
      Take the data balance measure DataFrames, transform them into
      a dictionary, and set them as an instance variable.
  
      :param feature_balance_measures: Feature balance measures.
      :type feature_balance_measures: Dict[str, pd.DataFrame]
      :param distribution_balance_measures: Distribution balance measures.
      :type distribution_balance_measures: pd.DataFrame
      :param aggregate_balance_measures: Aggregate balance measures.
      :type aggregate_balance_measures: pd.DataFrame
      """
      self._data_balance_measures = transform_measures_to_dict(
          feature_balance_measures=feature_balance_measures,
          distribution_balance_measures=distribution_balance_measures,
          aggregate_balance_measures=aggregate_balance_measures,
      )
  
imports: import json
  import warnings
  from pathlib import Path
  from typing import Dict, List
  import numpy
  import pandas
  from responsibleai._interfaces import TaskType
  from responsibleai._internal.constants import DataBalanceManagerKeys
  from responsibleai._internal.constants import FileFormats, ListProperties, ManagerNames
  from responsibleai._tools.shared.state_directory_management import DirectoryManager
  from responsibleai.databalanceanalysis import AggregateBalanceMeasures, DistributionBalanceMeasures, FeatureBalanceMeasures
  from responsibleai.databalanceanalysis.data_balance_utils import prepare_df, transform_measures_to_dict
  from responsibleai.managers.base_manager import BaseManager
label_desc: Use image node_id 5 for calling the DataBalanceManager obj's underlying member method code with example usage: obj._set_data_balance_measures(feature_balance_measures, distribution_balance_measures, aggregate_balance_measures) without return types