code: def __setstate__(self, d):
      self.__dict__ = d
      if self.tracking_uri:
          mlflow.set_tracking_uri(self.tracking_uri)
      if self.run and not self.run_ended:
          # Run has already been set, but may not be active due to training workers running in a separate
          # process, so resume the run
          mlflow.end_run()
          self.run = mlflow.start_run(
              run_id=self.run.info.run_id,
              experiment_id=self.run.info.experiment_id,
          )
  
imports: import logging
  import os
  import queue
  import threading
  from ludwig.api_annotations import DeveloperAPI, PublicAPI
  from ludwig.callbacks import Callback
  from ludwig.constants import TRAINER
  from ludwig.globals import MODEL_HYPERPARAMETERS_FILE_NAME, TRAIN_SET_METADATA_FILE_NAME
  from ludwig.types import TrainingSetMetadataDict
  from ludwig.utils.data_utils import chunk_dict, flatten_dict, save_json, to_json_dict
  from ludwig.utils.package_utils import LazyLoader
label_desc: Use image node_id 16 for calling the MlflowCallback obj's underlying member method code with example usage: obj.__setstate__(d) without return types