code: def sklearn_training_job(
      sagemaker_session,
      sklearn_latest_version,
      sklearn_latest_py_version,
      cpu_instance_type,
  ):
      return _run_mnist_training_job(
          sagemaker_session,
          cpu_instance_type,
          sklearn_latest_version,
          sklearn_latest_py_version,
      )
      sagemaker_session.boto_region_name
  
imports: from __future__ import absolute_import
  import os
  import time
  import pytest
  import numpy
  from sagemaker.serverless import ServerlessInferenceConfig
  from sagemaker.sklearn import SKLearn, SKLearnModel, SKLearnProcessor
  from sagemaker.utils import unique_name_from_base
  from tests.integ import DATA_DIR, TRAINING_DEFAULT_TIMEOUT_MINUTES
  from tests.integ.timeout import timeout, timeout_and_delete_endpoint_by_name
label_desc: Use image node_id 1 for calling a global function with example usage: sklearn_training_job(sagemaker_session, sklearn_latest_version, sklearn_latest_py_version, cpu_instance_type) and returns: _run_mnist_training_job