class_docstr: An abstract class that computes measures for a given dataset
  and given columns of interest.
docstr: Construct a BalanceMeasures class for calculating
  measures on the given columns of interest.
  
  :param cols_of_interest: The list of columns to compute measures on.
  :type cols_of_interest: List[str]
docstr_tok: ["Construct","a","BalanceMeasures","class","for","calculating","measures","on","the","given","columns","of","interest",".",":","param","cols_of_interest",":","The","list","of","columns","to","compute","measures","on",".",":","type","cols_of_interest",":","List","[","str","]"]
code: def __init__(self, cols_of_interest: List[str]) -> None:
      """
      Construct a BalanceMeasures class for calculating
      measures on the given columns of interest.
  
      :param cols_of_interest: The list of columns to compute measures on.
      :type cols_of_interest: List[str]
      """
      self.cols_of_interest = cols_of_interest
  
imports: from abc import ABC, abstractmethod
  from typing import List
  import pandas
label_desc: Use image node_id 1 to create a new BalanceMeasures object from inherited base classes: ABC with example: obj = BalanceMeasures(cols_of_interest)