code: def _log_parameter_search_results_as_artifact(cv_results_df, run_id):
      """
      Records a collection of parameter search results as an MLflow artifact
      for the specified run.
  
      :param cv_results_df: A Pandas DataFrame containing the results of a parameter search
                            training session, which may be obtained by parsing the `cv_results_`
                            attribute of a trained parameter search estimator such as
                            `GridSearchCV`.
      :param run_id: The ID of the MLflow Run to which the artifact should be recorded.
      """
      with TempDir() as t:
          results_path = t.path("cv_results.csv")
          cv_results_df.to_csv(results_path, index=False)
          MlflowClient().log_artifact(run_id, results_path)
  
imports: import collections
  import inspect
  import logging
  import pkgutil
  import platform
  import warnings
  from copy import deepcopy
  from importlib import import_module
  from numbers import Number
  from operator import itemgetter
  import numpy
  from packaging.version import Version
  from mlflow import MlflowClient
  from mlflow.utils.arguments_utils import _get_arg_names
  from mlflow.utils.file_utils import TempDir
  from mlflow.utils.mlflow_tags import MLFLOW_PARENT_RUN_ID
  from mlflow.utils.time import get_current_time_millis
label_desc: Use image node_id 18 for calling a global function with example usage: _log_parameter_search_results_as_artifact(cv_results_df, run_id) without return types