class_docstr: Defines the ExplainerManager for explaining a model.
class_docstr_tok: ["Defines","the","ExplainerManager","for","explaining","a","model","."]
docstr: Save the ExplainerManager to the given path.
  
  :param path: The directory path to save the ExplainerManager to.
  :type path: str
docstr_tok: ["Save","the","ExplainerManager","to","the","given","path",".",":","param","path",":","The","directory","path","to","save","the","ExplainerManager","to",".",":","type","path",":","str"]
code: def _save(self, path):
      """Save the ExplainerManager to the given path.
  
      :param path: The directory path to save the ExplainerManager to.
      :type path: str
      """
      top_dir = Path(path)
      top_dir.mkdir(parents=True, exist_ok=True)
      if self._is_added:
          directory_manager = DirectoryManager(
              parent_directory_path=path
          )
          data_directory = directory_manager.create_data_directory()
  
          # save the explanation
          if self._explanation:
              save_explanation(
                  self._explanation,
                  data_directory / ManagerNames.EXPLAINER,
              )
  
          meta = {IS_RUN: self._is_run, IS_ADDED: self._is_added}
          with open(data_directory / Metadata.META_JSON, "w") as file:
              json.dump(meta, file)
  
imports: import json
  import warnings
  from pathlib import Path
  from typing import Any, List, Optional
  import numpy
  import pandas
  from interpret_community.explanation.explanation import FeatureImportanceExplanation, load_explanation, save_explanation
  from interpret_community.mimic.mimic_explainer import MimicExplainer
  from interpret_community.mimic.models.lightgbm_model import LGBMExplainableModel
  from interpret_community.mimic.models.linear_model import LinearExplainableModel
  from scipy.sparse import issparse
  from raiutils.data_processing import convert_to_list
  from raiutils.exceptions import UserConfigValidationException
  from raiutils.models import ModelTask
  from responsibleai._interfaces import EBMGlobalExplanation, FeatureImportance, ModelExplanationData, PrecomputedExplanations
  from responsibleai._internal.constants import ExplainerManagerKeys
  from responsibleai._internal.constants import ExplanationKeys, ListProperties, ManagerNames, Metadata
  from responsibleai._tools.shared.state_directory_management import DirectoryManager
  from responsibleai.managers.base_manager import BaseManager
  from responsibleai.utils import _find_features_having_missing_values, _measure_time
label_desc: Use image node_id 12 for calling the ExplainerManager obj's underlying member method code with example usage: obj._save(path) without return types