code: def test_raw(wrapper):
      raw = wrapper.raw()
      assert "model" in raw
      assert "scaler" in raw
  
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 6 for calling a global function with example usage: test_raw(wrapper) without return types