code: def _get_default_ag_args_ensemble(cls, **kwargs) -> dict:
      default_ag_args_ensemble = super()._get_default_ag_args_ensemble(
          **kwargs
      )
      extra_ag_args_ensemble = {
          "fold_fitting_strategy": "sequential_local"
      }
      default_ag_args_ensemble.update(extra_ag_args_ensemble)
      return default_ag_args_ensemble
  
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 4 for calling the MultiModalPredictorModel obj's underlying member method code with example usage: obj._get_default_ag_args_ensemble(cls) and returns: default_ag_args_ensemble