code: def test_model(sagemaker_session, sklearn_version):
      model = SKLearnModel(
          "s3://some/data.tar.gz",
          role=ROLE,
          entry_point=SCRIPT_PATH,
          framework_version=sklearn_version,
          sagemaker_session=sagemaker_session,
      )
      predictor = model.deploy(1, CPU)
      assert isinstance(predictor, SKLearnPredictor)
  
imports: from __future__ import absolute_import
  import logging
  import json
  import os
  import pytest
  from mock import Mock
  from mock import patch
  from sagemaker.fw_utils import UploadedCode
  from sagemaker.session_settings import SessionSettings
  from sagemaker.sklearn import SKLearn, SKLearnModel, SKLearnPredictor
label_desc: Use image node_id 15 for calling a global function with example usage: test_model(sagemaker_session, sklearn_version) without return types