code: def test_transform_multiple_values_for_entry_point_issue(
      sagemaker_session, sklearn_version
  ):
      # https://github.com/aws/sagemaker-python-sdk/issues/974
      sklearn = SKLearn(
          entry_point=SCRIPT_PATH,
          role=ROLE,
          sagemaker_session=sagemaker_session,
          instance_type=INSTANCE_TYPE,
          py_version=PYTHON_VERSION,
          framework_version=sklearn_version,
      )
  
      inputs = "s3://mybucket/train"
  
      sklearn.fit(inputs=inputs)
  
      transformer = sklearn.transformer(
          instance_count=1, instance_type="ml.m4.xlarge"
      )
      # if we got here, we didn't get a "multiple values" error
      assert transformer is not None
  
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 12 for calling a global function with example usage: test_transform_multiple_values_for_entry_point_issue(sagemaker_session, sklearn_version) without return types