code: def test_eval_logging(self):
      metrics = {
          "label1": {
              "precision": 0.5,
              "recall": 1.0,
              "f1-score": 0.67,
              "support": 1,
          },
          "label2": {
              "precision": 0.0,
              "recall": 0.0,
              "f1-score": 0.0,
              "support": 1,
          },
      }
      for key, value in metrics.items():
          self.logger.log_metrics(value, prefix=key)
  
file_path: spark-nlp/python/test/thirdparty/comet.py
imports: import unittest
  from sparknlp.base import *
  from sparknlp.annotator import *
  from sparknlp.logging.comet import CometLogger
  import comet_ml
  import os
  import glob
  from test.util import SparkContextForTest
label_desc: Use image node_id 5 for calling the CometTestSpec obj's underlying member method code with example usage: obj.test_eval_logging() without return types