class_docstr: Abstract class for Backend Storage.
  This class defines the API interface for front ends to connect with various types of backends.
docstr: Record logged model information with tracking store. The list of logged model infos is
  maintained in a mlflow.models tag in JSON format.
  
  Note: The actual models are logged as artifacts via artifact repository.
  
  :param run_id: String id for the run
  :param mlflow_model: Model object to be recorded.
  
  The default implementation is a no-op.
  
  :return: None.
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code: def record_logged_model(self, run_id, mlflow_model):
      """
      Record logged model information with tracking store. The list of logged model infos is
      maintained in a mlflow.models tag in JSON format.
  
      Note: The actual models are logged as artifacts via artifact repository.
  
      :param run_id: String id for the run
      :param mlflow_model: Model object to be recorded.
  
      The default implementation is a no-op.
  
      :return: None.
      """
      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 27 for calling the AbstractStore obj's underlying member method code with example usage: obj.record_logged_model(run_id, mlflow_model) without return types