code: def get_stopping_threshold(metric_name: str):
      """
      Get the metric threshold for early stopping.
  
      Parameters
      ----------
      metric_name
          Name of validation metric.
  
      Returns
      -------
      The stopping threshold.
      """
      try:
          metric = get_metric(metric_name)
          stopping_threshold = metric.optimum - metric._sign * 1e-7
      except:
          stopping_threshold = None
  
      return stopping_threshold
  
imports: import logging
  import math
  import operator
  import warnings
  from typing import Dict, List, Optional, Tuple, Union
  import evaluate
  import numpy
  from sklearn.metrics import f1_score
  from autogluon.core.metrics import Scorer, get_metric
  from ..constants import ACCURACY, AVERAGE_PRECISION, BINARY, DIRECT_LOSS, F1, FEW_SHOT_CLASSIFICATION, IOU, MAP, MATCHING_METRICS, MATCHING_METRICS_WITHOUT_PROBLEM_TYPE, MAX, METRIC_MODE_MAP, MIN, MULTICLASS, NDCG, NER, NER_TOKEN_F1, NUMERICAL, OBJECT_DETECTION, OPEN_VOCABULARY_OBJECT_DETECTION, OVERALL_ACCURACY, OVERALL_F1, PRECISION, RECALL, REGRESSION, RETRIEVAL_METRICS, RMSE, ROC_AUC, SEMANTIC_SEGMENTATION, SPEARMANR, Y_PRED, Y_PRED_PROB, Y_TRUE
  from ..problem_types import PROBLEM_TYPES_REG
label_desc: Use image node_id 3 for calling a global function with example usage: get_stopping_threshold(metric_name) and returns: stopping_threshold