class_docstr: The metadata of a logged MLflow Model.
class_docstr_tok: ["The","metadata","of","a","logged","MLflow","Model","."]
docstr: Version of MLflow used to log the model
  
  :getter: Gets the version of MLflow that was installed when a model was logged
  :type: str
docstr_tok: ["Version","of","MLflow","used","to","log","the","model",":","getter",":","Gets","the","version","of","MLflow","that","was","installed","when","a","model","was","logged",":","type",":","str"]
code: def mlflow_version(self):
      """
      Version of MLflow used to log the model
  
      :getter: Gets the version of MLflow that was installed when a model was logged
      :type: str
      """
      return self._mlflow_version
  
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 11 for calling the ModelInfo obj's underlying member method code with example usage: obj.mlflow_version() and returns: self