class_docstr: Defines the ExplainerManager for explaining a text-based model.
class_docstr_tok: ["Defines","the","ExplainerManager","for","explaining","a","text-based","model","."]
docstr: Check if the task is a multilabel classification task.
  
  :return: True if the task is a multilabel classification task.
  :rtype: bool
docstr_tok: ["Check","if","the","task","is","a","multilabel","classification","task",".",":","return",":","True","if","the","task","is","a","multilabel","classification","task",".",":","rtype",":","bool"]
code: def _is_multilabel_task(self):
      """Check if the task is a multilabel classification task.
  
      :return: True if the task is a multilabel classification task.
      :rtype: bool
      """
      return self._task_type == ModelTask.MULTILABEL_TEXT_CLASSIFICATION
  
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 7 for calling the ExplainerManager obj's underlying member method code with example usage: obj._is_multilabel_task() and returns: unknown