code: def adjust_threshold_if_necessary(
      self, y, threshold, holdout_frac, num_bag_folds
  ):
      (
          new_threshold,
          new_holdout_frac,
          new_num_bag_folds,
      ) = self._adjust_threshold_if_necessary(
          y, threshold, holdout_frac, num_bag_folds
      )
      if new_threshold != threshold:
          if new_threshold < threshold:
              logger.warning(
                  f"Warning: Updated label_count_threshold from {threshold} to {new_threshold} to avoid cutting too many classes."
              )
      if new_holdout_frac != holdout_frac:
          if new_holdout_frac > holdout_frac:
              logger.warning(
                  f"Warning: Updated holdout_frac from {holdout_frac} to {new_holdout_frac} to avoid cutting too many classes."
              )
      if new_num_bag_folds != num_bag_folds:
          logger.warning(
              f"Warning: Updated num_bag_folds from {num_bag_folds} to {new_num_bag_folds} to avoid cutting too many classes."
          )
      return new_threshold, new_holdout_frac, new_num_bag_folds
  
imports: import copy
  import logging
  import math
  import time
  import numpy
  import pandas
  from pandas import DataFrame
  from autogluon.common.utils.log_utils import convert_time_in_s_to_log_friendly
  from autogluon.common.utils.system_info import get_ag_system_info
  from autogluon.core.constants import AUTO_WEIGHT, BALANCE_WEIGHT, BINARY, MULTICLASS, QUANTILE, REGRESSION
  from autogluon.core.data import LabelCleaner
  from autogluon.core.data.cleaner import Cleaner
  from autogluon.core.utils.time import sample_df_for_time_func, time_func
  from autogluon.core.utils.utils import augment_rare_classes, extract_column
  from ..trainer import AutoTrainer
  from .abstract_learner import AbstractTabularLearner
label_desc: Use image node_id 7 for calling the DefaultLearner obj's underlying member method code with example usage: obj.adjust_threshold_if_necessary(y, threshold, holdout_frac, num_bag_folds) and returns: new_threshold,  new_holdout_frac,  new_num_bag_folds