class_docstr: The metadata of a logged MLflow Model.
class_docstr_tok: ["The","metadata","of","a","logged","MLflow","Model","."]
docstr: The ``model_uuid`` of the logged model,
  e.g., ``'39ca11813cfc46b09ab83972740b80ca'``.
  
  :getter: [Legacy] Gets the model_uuid (run_id) of a logged model
  :type: str
docstr_tok: ["The","``","model_uuid","``","of","the","logged","model",",","e.g.",",","``","'39ca11813cfc46b09ab83972740b80ca","'","``",".",":","getter",":","[","Legacy","]","Gets","the","model_uuid","(","run_id",")","of","a","logged","model",":","type",":","str"]
code: def model_uuid(self):
      """
      The ``model_uuid`` of the logged model,
      e.g., ``'39ca11813cfc46b09ab83972740b80ca'``.
  
      :getter: [Legacy] Gets the model_uuid (run_id) of a logged model
      :type: str
      """
      return self._model_uuid
  
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 5 for calling the ModelInfo obj's underlying member method code with example usage: obj.model_uuid() and returns: self