class_docstr: An abstract class that computes measures for a given dataset
  and given columns of interest.
docstr: Returns measures for the given dataset and columns of interest.
  
  :param dataset: The dataset to compute measures on.
  :type dataset: pd.DataFrame
  :return: A pandas DataFrame containing the measures.
  :rtype: pd.DataFrame
docstr_tok: ["Returns","measures","for","the","given","dataset","and","columns","of","interest",".",":","param","dataset",":","The","dataset","to","compute","measures","on",".",":","type","dataset",":","pd.DataFrame",":","return",":","A","pandas","DataFrame","containing","the","measures",".",":","rtype",":","pd.DataFrame"]
code: def measures(self, dataset: pd.DataFrame) -> pd.DataFrame:
      """
      Returns measures for the given dataset and columns of interest.
  
      :param dataset: The dataset to compute measures on.
      :type dataset: pd.DataFrame
      :return: A pandas DataFrame containing the measures.
      :rtype: pd.DataFrame
      """
      ...
  
imports: from abc import ABC, abstractmethod
  from typing import List
  import pandas
label_desc: Use image node_id 2 for calling the BalanceMeasures obj's underlying member method code with example usage: obj.measures(dataset) without return types