code: def threshold_predictions(all_predictions, threshold):
      if len(threshold) != len(all_predictions):
          threshold = [threshold[-1]] * (
              len(all_predictions) - len(threshold)
          )
      for i, dataset in enumerate(all_predictions):
          thresh = threshold[i]
          preds = all_predictions[dataset]
          all_predictions[dataset] = apply_threshold(preds, thresh)
      return all_predictions
  
file_path: megatron-lm/tasks/ensemble_classifier.py
imports: import os
  import argparse
  import collections
  import numpy
  import torch
label_desc: Use image node_id 5 for calling a global function with example usage: threshold_predictions(all_predictions, threshold) and returns: all_predictions