class_docstr: The metadata of a logged MLflow Model.
class_docstr_tok: ["The","metadata","of","a","logged","MLflow","Model","."]
docstr: The ``run_id`` associated with the logged model,
  e.g., ``'8ede7df408dd42ed9fc39019ef7df309'``
  
  :getter: Gets the run_id identifier for the logged model
  :type: str
docstr_tok: ["The","``","run_id","``","associated","with","the","logged","model",",","e.g.",",","``","'8ede7df408dd42ed9fc39019ef7df309","'","``",":","getter",":","Gets","the","run_id","identifier","for","the","logged","model",":","type",":","str"]
code: def run_id(self):
      """
      The ``run_id`` associated with the logged model,
      e.g., ``'8ede7df408dd42ed9fc39019ef7df309'``
  
      :getter: Gets the run_id identifier for the logged model
      :type: str
      """
      return self._run_id
  
imports: import json
  import logging
  import os
  import uuid
  import warnings
  from datetime import datetime
  from typing import Any, Callable, Dict, Optional, Union
  import yaml
  import mlflow
  from mlflow.artifacts import download_artifacts
  from mlflow.exceptions import MlflowException
  from mlflow.tracking._model_registry import DEFAULT_AWAIT_MAX_SLEEP_SECONDS
  from mlflow.tracking._tracking_service.utils import _resolve_tracking_uri
  from mlflow.utils.annotations import experimental
  from mlflow.utils.databricks_utils import get_databricks_runtime
  from mlflow.utils.file_utils import TempDir
  from mlflow.utils.uri import get_uri_scheme
label_desc: Use image node_id 6 for calling the ModelInfo obj's underlying member method code with example usage: obj.run_id() and returns: self