code: def _get_default_auxiliary_params(self) -> dict:
      default_auxiliary_params = super()._get_default_auxiliary_params()
      extra_auxiliary_params = dict(
          valid_raw_types=[R_INT, R_FLOAT, R_CATEGORY, R_OBJECT],
          ignored_type_group_special=[
              S_TEXT_NGRAM,
              S_TEXT_AS_CATEGORY,
              S_TEXT_SPECIAL,
          ],
      )
      default_auxiliary_params.update(extra_auxiliary_params)
      return default_auxiliary_params
  
imports: import logging
  import os
  from typing import Dict, Optional
  import pandas
  from autogluon.common.features.types import R_CATEGORY, R_FLOAT, R_INT, R_OBJECT, S_IMAGE_PATH, S_TEXT, S_TEXT_AS_CATEGORY, S_TEXT_NGRAM, S_TEXT_SPECIAL
  from autogluon.common.utils.resource_utils import ResourceManager
  from autogluon.common.utils.try_import import try_import_autogluon_multimodal
  from autogluon.core.constants import BINARY, MULTICLASS, REGRESSION
  from autogluon.core.models import AbstractModel
label_desc: Use image node_id 2 for calling the MultiModalPredictorModel obj's underlying member method code with example usage: obj._get_default_auxiliary_params() and returns: default_auxiliary_params