code: def serialize(self, path: Path) -> None:
      # call Predictor.serialize() in order to serialize the class name
  
      super().serialize(path)
  
      # serialize self.ag_model
      # move autogluon model to where we want to do the serialization
      ag_path = self.ag_model.path
      shutil.move(ag_path, path)
      ag_path = Path(ag_path)
      print(f"Autogluon files moved from {ag_path} to {path}.")
      # reset the path stored in tabular model.
      AutogluonTabularPredictor.load(path / Path(ag_path.name))
      # serialize all remaining constructor parameters
      with (path / "parameters.json").open("w") as fp:
          parameters = dict(
              batch_size=self.batch_size,
              prediction_length=self.prediction_length,
              dtype=self.dtype,
              time_features=self.time_features,
              lag_indices=self.lag_indices,
              ag_path=path / Path(ag_path.name),
              quantiles_to_predict=self.quantiles_to_predict,
          )
          print(dump_json(parameters), file=fp)
  
imports: from typing import Callable, Dict, List, Optional, Iterator, Iterable, Tuple
  import numpy
  import pandas
  import shutil
  from pathlib import Path
  from autogluon.tabular import TabularPredictor
  from gluonts.core.serde import dump_json, load_json
  from gluonts.dataset.util import to_pandas
  from gluonts.dataset.field_names import FieldName
  from gluonts.itertools import batcher
  from gluonts.model.forecast import SampleForecast, QuantileForecast, Forecast
  from gluonts.model.predictor import Predictor
  from gluonts.time_feature import TimeFeature
label_desc: Use image node_id 9 for calling the TabularPredictor obj's underlying member method code with example usage: obj.serialize(path) without return types