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 __eq__(self, other_cf):
      if isinstance(other_cf, CounterfactualExplanations):
          return (
              self.cf_examples_list == other_cf.cf_examples_list
              and self.local_importance == other_cf.local_importance
              and self.summary_importance == other_cf.summary_importance
              and self.metadata == other_cf.metadata
          )
      return False
  
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 2 for calling the CounterfactualExplanations obj's underlying member method code with example usage: obj.__eq__(other_cf) and returns: False, unknown