class_docstr: This class computes a set of aggregated balance measures that represents
  how balanced the given dataset is along the given columns of interest.
class_docstr_tok: ["This","class","computes","a","set","of","aggregated","balance","measures","that","represents","how","balanced","the","given","dataset","is","along","the","given","columns","of","interest","."]
docstr: Construct a AggregateBalanceMeasures class for calculating
  aggregate balance measures on a dataset.
  
  :param cols_of_interest: The list of columns to compute
      aggregate balance measures on.
  :type cols_of_interest: List[str]
docstr_tok: ["Construct","a","AggregateBalanceMeasures","class","for","calculating","aggregate","balance","measures","on","a","dataset",".",":","param","cols_of_interest",":","The","list","of","columns","to","compute","aggregate","balance","measures","on",".",":","type","cols_of_interest",":","List","[","str","]"]
code: def __init__(self, cols_of_interest: List[str]) -> None:
      """
      Construct a AggregateBalanceMeasures class for calculating
      aggregate balance measures on a dataset.
  
      :param cols_of_interest: The list of columns to compute
          aggregate balance measures on.
      :type cols_of_interest: List[str]
      """
      super().__init__(cols_of_interest=cols_of_interest)
  
file_path: responsible-ai-toolbox/responsibleai/responsibleai/databalanceanalysis/aggregate_balance_measures.py
imports: from typing import Callable, Dict, List
  import numpy
  import pandas
  from responsibleai.databalanceanalysis.balance_measures import BalanceMeasures
  from responsibleai.databalanceanalysis.constants import Measures
label_desc: Use image node_id 1 to create a new AggregateBalanceMeasures object from inherited base classes: BalanceMeasures with example: obj = AggregateBalanceMeasures(cols_of_interest)