code: def test_monitor(self):
      self.logger.monitor(self.OUTPUT_LOG_PATH, self.classifier, 1)
      self.pipelineModel = self.pipeline.fit(self.trainDataset)
  
      test_data = SparkContextForTest.spark.createDataFrame(
          [["Hello!"]], ["text"]
      )
      self.pipelineModel.transform(test_data).select("out").show(
          truncate=False
      )
  
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 3 for calling the CometTestSpec obj's underlying member method code with example usage: obj.test_monitor() without return types