class_docstr: MLflow entity for Model Version.
class_docstr_tok: ["MLflow","entity","for","Model","Version","."]
code: def __init__(
      self,
      name,
      version,
      creation_timestamp,
      last_updated_timestamp=None,
      description=None,
      user_id=None,
      current_stage=None,
      source=None,
      run_id=None,
      status=ModelVersionStatus.to_string(ModelVersionStatus.READY),
      status_message=None,
      tags=None,
      run_link=None,
      aliases=None,
  ):
      super().__init__()
      self._name = name
      self._version = version
      self._creation_time = creation_timestamp
      self._last_updated_timestamp = last_updated_timestamp
      self._description = description
      self._user_id = user_id
      self._current_stage = current_stage
      self._source = source
      self._run_id = run_id
      self._run_link = run_link
      self._status = status
      self._status_message = status_message
      self._tags = {tag.key: tag.value for tag in (tags or [])}
      self._aliases = aliases or []
  
imports: from mlflow.entities.model_registry._model_registry_entity import _ModelRegistryEntity
  from mlflow.entities.model_registry.model_version_status import ModelVersionStatus
  from mlflow.entities.model_registry.model_version_tag import ModelVersionTag
  from mlflow.protos.model_registry_pb2 import ModelVersion
  from mlflow.protos.model_registry_pb2 import ModelVersionTag
label_desc: Use image node_id 1 to create a new ModelVersion object from inherited base classes: _ModelRegistryEntity with example: obj = ModelVersion(name, version, creation_timestamp, last_updated_timestamp, description, user_id, current_stage, source, run_id, status, status_message, tags, run_link, aliases)