class_docstr: Defines the configuration for generating counterfactuals.
class_docstr_tok: ["Defines","the","configuration","for","generating","counterfactuals","."]
code: def save_explainer(self, explainer_directory_path):
      file_path = (
          explainer_directory_path
          / CounterfactualConfig.EXPLAINER_FILE_NAME
      )
      try:
          self.explainer.serialize_explainer(file_path)
      except Exception:
          pass
  
imports: import json
  import uuid
  import warnings
  from pathlib import Path
  from typing import Any, List, Optional, Union
  import dice_ml
  import jsonschema
  import numpy
  import pandas
  from dice_ml import Dice
  from dice_ml.counterfactual_explanations import CounterfactualExplanations
  from dice_ml.explainer_interfaces.explainer_base import ExplainerBase
  from raiutils.exceptions import UserConfigValidationException
  from raiutils.models import ModelTask
  from responsibleai._config.base_config import BaseConfig
  from responsibleai._data_validations import validate_train_test_categories
  from responsibleai._interfaces import CounterfactualData
  from responsibleai._internal.constants import CounterfactualManagerKeys, FileFormats, ListProperties, ManagerNames
  from responsibleai._tools.shared.state_directory_management import DirectoryManager
  from responsibleai.exceptions import DuplicateManagerConfigException, SchemaErrorException
  from responsibleai.managers.base_manager import BaseManager
  from responsibleai.utils import _find_features_having_missing_values, _measure_time
label_desc: Use image node_id 9 for calling the CounterfactualConfig obj's underlying member method code with example usage: obj.save_explainer(explainer_directory_path) without return types