parameters: (self, case, score_config=None)
return_statement: return self._case_comparisons[case]
docstring: Method to get human-friendly table with model comparisons.
          Same as get_baseline_comparison(), but with other non-baseline case specified as baseline
  
          :param case: use specified case as baseline
          :param score_config:
          :return: pandas DataFrame. Each row is related to one ExecutionCase.
          Each row describes how better (or worse) this case is compared to baseline.
docstring_summary: Method to get human-friendly table with model comparisons.
          Same as get_baseline_comparison(), but with other non-baseline case specified as baseline
docstring_tokens: Method to get human - friendly table with model comparisons . Same as get_baseline_comparison () but with other non - baseline case specified as baseline
function: def get_case_comparison(self, case, score_config=None):
          """
          Method to get human-friendly table with model comparisons.
          Same as get_baseline_comparison(), but with other non-baseline case specified as baseline
  
          :param case: use specified case as baseline
          :param score_config:
          :return: pandas DataFrame. Each row is related to one ExecutionCase.
          Each row describes how better (or worse) this case is compared to baseline.
          """
          self._change_score_config(score_config)
          if case not in self._case_comparisons:
              self._case_comparisons[case] = self._compute_case_result_table(case)
          return self._case_comparisons[case]
function_tokens: def get_case_comparison ( self , case , score_config = None ) : self . _change_score_config ( score_config ) if case not in self . _case_comparisons : self . _case_comparisons [ case ] = self . _compute_case_result_table ( case ) return self . _case_comparisons [ case ]