class_docstr: Defines the ExplainerManager for explaining a text-based model.
class_docstr_tok: ["Defines","the","ExplainerManager","for","explaining","a","text-based","model","."]
docstr: Get the name of the explainer manager.
  
  :return: The name of the explainer manager.
  :rtype: str
docstr_tok: ["Get","the","name","of","the","explainer","manager",".",":","return",":","The","name","of","the","explainer","manager",".",":","rtype",":","str"]
code: def name(self):
      """Get the name of the explainer manager.
  
      :return: The name of the explainer manager.
      :rtype: str
      """
      return ManagerNames.EXPLAINER
  
imports: import json
  import pickle
  import warnings
  from pathlib import Path
  from typing import Any, List, Optional
  import numpy
  import pandas
  import shap
  from raiutils.data_processing import convert_to_list
  from responsibleai._interfaces import FeatureImportance, ModelExplanationData, PrecomputedExplanations, TextFeatureImportance
  from responsibleai._internal.constants import ExplainerManagerKeys
  from responsibleai._internal.constants import ListProperties, ManagerNames, Metadata
  from responsibleai._tools.shared.state_directory_management import DirectoryManager
  from responsibleai.exceptions import UserConfigValidationException
  from responsibleai.managers.base_manager import BaseManager
  from responsibleai_text.common.constants import ModelTask, QuestionAnsweringFields, Tokens
  from responsibleai_text.utils.question_answering import QAPredictor
label_desc: Use image node_id 12 for calling the ExplainerManager obj's underlying member method code with example usage: obj.name() and returns: ManagerNames