class_docstr: Client of an MLflow Model Registry Server that creates and manages registered
  models and model versions.
docstr: Update metadata associated with a model version in backend.
  
  :param name: Name of the containing registered model.
  :param version: Version number of the model version.
  :param description: New description.
docstr_tok: ["Update","metadata","associated","with","a","model","version","in","backend",".",":","param","name",":","Name","of","the","containing","registered","model",".",":","param","version",":","Version","number","of","the","model","version",".",":","param","description",":","New","description","."]
code: def update_model_version(self, name, version, description):
      """
      Update metadata associated with a model version in backend.
  
      :param name: Name of the containing registered model.
      :param version: Version number of the model version.
      :param description: New description.
      """
      return self.store.update_model_version(
          name=name, version=version, description=description
      )
  
imports: import logging
  from mlflow.entities.model_registry import ModelVersionTag, RegisteredModelTag
  from mlflow.exceptions import MlflowException
  from mlflow.store.model_registry import SEARCH_MODEL_VERSION_MAX_RESULTS_DEFAULT, SEARCH_REGISTERED_MODEL_MAX_RESULTS_DEFAULT
  from mlflow.tracking._model_registry import DEFAULT_AWAIT_MAX_SLEEP_SECONDS, utils
  from mlflow.utils.arguments_utils import _get_arg_names
label_desc: Use image node_id 14 for calling the ModelRegistryClient obj's underlying member method code with example usage: obj.update_model_version(name, version, description) and returns: self