code: def run_log_example(log_file):
      train_data, _ = get_case_train_test_data()
  
      # Use default_log if you do not have json config file for log
      log = Log(
          log_file=log_file, output_logging_level=logging.FATAL
      ).get_adapter(prefix=pathlib.Path(__file__).stem)
  
      log.info("start creating pipeline")
      pipeline = classification_complex_pipeline()
  
      log.info("start fitting pipeline")
      pipeline.fit(train_data)
  
imports: import logging
  import pathlib
  from golem.core.log import Log
  from examples.simple.classification.classification_pipelines import classification_complex_pipeline
  from examples.simple.pipeline_tune import get_case_train_test_data
label_desc: Use image node_id 1 for calling a global function with example usage: run_log_example(log_file) without return types