class_docstr: The metadata of a logged MLflow Model.
class_docstr_tok: ["The","metadata","of","a","logged","MLflow","Model","."]
docstr: Run relative path identifying the logged model.
  
  :getter: Retrieves the relative path of the logged model.
  :type: str
docstr_tok: ["Run","relative","path","identifying","the","logged","model",".",":","getter",":","Retrieves","the","relative","path","of","the","logged","model",".",":","type",":","str"]
code: def artifact_path(self):
      """
      Run relative path identifying the logged model.
  
      :getter: Retrieves the relative path of the logged model.
      :type: str
      """
      return self._artifact_path
  
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 2 for calling the ModelInfo obj's underlying member method code with example usage: obj.artifact_path() and returns: self