code: def test_load(wrapper):
      loaded_wrapper = SklearnImageClassificationWrapper(
          "random-forest", {}, wrapper.out_dir
      )
      loaded_wrapper._load()
      assert isinstance(loaded_wrapper.model, RandomForestClassifier)
      assert loaded_wrapper.scaler is not None
  
file_path: traintool/tests/image_classification/test_sklearn_models.py
imports: import comet_ml
  import pytest
  import numpy
  from sklearn.ensemble import RandomForestClassifier
  from tensorboardX import SummaryWriter
  from conftest import create_dataset, create_image
  from traintool.image_classification import SklearnImageClassificationWrapper
  from traintool.utils import DummyExperiment
label_desc: Use image node_id 4 for calling a global function with example usage: test_load(wrapper) without return types