code: def test_sklearn_checkpoint(tmp_path):
      preprocessor = DummyPreprocessor()
  
      checkpoint = SklearnCheckpoint.from_estimator(
          estimator=model, path=str(tmp_path), preprocessor=preprocessor
      )
  
      assert np.allclose(
          checkpoint.get_estimator().feature_importances_,
          model.feature_importances_,
      )
      assert checkpoint.get_preprocessor() == preprocessor
  
file_path: ray/python/ray/train/tests/test_sklearn_predictor.py
imports: import re
  import numpy
  import pandas
  import pytest
  from sklearn.ensemble import RandomForestClassifier
  from ray.air.constants import MAX_REPR_LENGTH
  from ray.air.util.data_batch_conversion import _convert_pandas_to_batch_type
  from ray.train.predictor import TYPE_TO_ENUM
  from ray.train.sklearn import SklearnCheckpoint, SklearnPredictor
  from ray.train.tests.dummy_preprocessor import DummyPreprocessor
label_desc: Use image node_id 2 for calling a global function with example usage: test_sklearn_checkpoint(tmp_path) without return types