class_docstr: A class to store counterfactual examples for one or more inputs
  and feature importance scores.
  
  :param cf_examples_list: A list of CounterfactualExamples instances
  :param local_importance: List of estimated local importance scores. The
      size of the list is the number of input instances, each containing
      feature importance scores for that input.
  :param summary_importance: Estimated global feature importance scores
      based on the input set of CounterfactualExamples instances
code: def summary_importance(self):
      if isinstance(self._summary_importance, dict):
          self._summary_importance = dict(
              sorted(
                  self._summary_importance.items(),
                  key=lambda x: x[1],
                  reverse=True,
              )
          )
      return self._summary_importance
  
imports: import json
  import os
  import jsonschema
  from raiutils.exceptions import UserConfigValidationException
  from dice_ml.constants import _SchemaVersions
  from dice_ml.diverse_counterfactuals import CounterfactualExamples, _DiverseCFV2SchemaConstants
label_desc: Use image node_id 5 for calling the CounterfactualExplanations obj's underlying member method code with example usage: obj.summary_importance() and returns: self