code: def test_create_model(tmp_path):
      wrapper = SklearnImageClassificationWrapper(
          "random-forest", {"n_estimators": 10}, tmp_path
      )
      wrapper._create_model()
      assert isinstance(wrapper.model, RandomForestClassifier)
      assert wrapper.model.n_estimators == 10
  
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 2 for calling a global function with example usage: test_create_model(tmp_path) without return types