code: def load_metrics(classifier, metrics_dir):
      """Load the performance metrics for a particular classifier"""
      path = make_save_path(metrics_dir, classifier, "metric")
      with open(path) as f:
          return json.load(f)
  
imports: from __future__ import absolute_import, unicode_literals
  import base64
  import hashlib
  import json
  import logging
  import os
  import pickle
  from builtins import str
  import numpy
  from atm.compat import getargs
label_desc: Use image node_id 15 for calling a global function with example usage: load_metrics(classifier, metrics_dir) and returns: json