class_docstr: Abstract class for Backend Storage.
  This class defines the API interface for front ends to connect with various types of backends.
docstr: Set a tag for the specified experiment
  
  :param experiment_id: String id for the experiment
  :param tag: :py:class:`mlflow.entities.ExperimentTag` instance to set
docstr_tok: ["Set","a","tag","for","the","specified","experiment",":","param","experiment_id",":","String","id","for","the","experiment",":","param","tag",":",":","py",":","class",":","`","mlflow.entities.ExperimentTag","`","instance","to","set"]
code: def set_experiment_tag(self, experiment_id, tag):
      """
      Set a tag for the specified experiment
  
      :param experiment_id: String id for the experiment
      :param tag: :py:class:`mlflow.entities.ExperimentTag` instance to set
      """
      pass
  
imports: from abc import ABCMeta, abstractmethod
  from typing import List, Optional
  from mlflow.entities import DatasetInput, ViewType
  from mlflow.store.entities.paged_list import PagedList
  from mlflow.store.tracking import SEARCH_MAX_RESULTS_DEFAULT
  from mlflow.utils.annotations import developer_stable, experimental
  from mlflow.utils.async_logging.async_logging_queue import AsyncLoggingQueue
  from mlflow.utils.async_logging.run_operations import RunOperations
label_desc: Use image node_id 18 for calling the AbstractStore obj's underlying member method code with example usage: obj.set_experiment_tag(experiment_id, tag) without return types