code: def run_batch_scoring():
      mlflow_repo_root_directory = pathlib.Path(
          mlflow.__file__
      ).parent.parent
      recipe_example_path = (
          mlflow_repo_root_directory
          / RECIPE_EXAMPLE_PATH_FROM_MLFLOW_ROOT
      )
      with chdir(recipe_example_path):
          r = RegressionRecipe(
              recipe_root_path=recipe_example_path, profile="local"
          )
          r.run("register")
          r.run("ingest_scoring")
          r.run("predict")
          yield r
          r.clean()
          shutil.rmtree(
              "./data/sample_output.parquet", ignore_errors=True
          )
  
file_path: mlflow/tests/recipes/regression/v1/test_regression_pipeline_batch_scoring.py
imports: import pathlib
  import shutil
  import time
  import pandas
  import pytest
  import mlflow
  from mlflow.recipes.regression.v1.recipe import RegressionRecipe
  from mlflow.recipes.utils.execution import get_or_create_base_execution_directory
  from tests.recipes.helper_functions import RECIPE_EXAMPLE_PATH_FROM_MLFLOW_ROOT, chdir
label_desc: Use image node_id 1 for calling a global function with example usage: run_batch_scoring() without return types