class_docstr: Abstract class that defines API interfaces for storing Model Registry metadata.
class_docstr_tok: ["Abstract","class","that","defines","API","interfaces","for","storing","Model","Registry","metadata","."]
docstr: Create a new registered model in backend store.
  
  :param name: Name of the new model. This is expected to be unique in the backend store.
  :param tags: A list of :py:class:`mlflow.entities.model_registry.RegisteredModelTag`
               instances associated with this registered model.
  :param description: Description of the model.
  :return: A single object of :py:class:`mlflow.entities.model_registry.RegisteredModel`
           created in the backend.
docstr_tok: ["Create","a","new","registered","model","in","backend","store",".",":","param","name",":","Name","of","the","new","model",".","This","is","expected","to","be","unique","in","the","backend","store",".",":","param","tags",":","A","list","of",":","py",":","class",":","`","mlflow.entities.model_registry.RegisteredModelTag","`","instances","associated","with","this","registered","model",".",":","param","description",":","Description","of","the","model",".",":","return",":","A","single","object","of",":","py",":","class",":","`","mlflow.entities.model_registry.RegisteredModel","`","created","in","the","backend","."]
code: def create_registered_model(self, name, tags=None, description=None):
      """
      Create a new registered model in backend store.
  
      :param name: Name of the new model. This is expected to be unique in the backend store.
      :param tags: A list of :py:class:`mlflow.entities.model_registry.RegisteredModelTag`
                   instances associated with this registered model.
      :param description: Description of the model.
      :return: A single object of :py:class:`mlflow.entities.model_registry.RegisteredModel`
               created in the backend.
      """
      pass
  
imports: import logging
  from abc import ABCMeta, abstractmethod
  from time import sleep, time
  from mlflow.entities.model_registry import ModelVersionTag
  from mlflow.entities.model_registry.model_version_status import ModelVersionStatus
  from mlflow.exceptions import MlflowException
  from mlflow.protos.databricks_pb2 import RESOURCE_ALREADY_EXISTS, ErrorCode
  from mlflow.utils.annotations import developer_stable
label_desc: Use image node_id 2 for calling the AbstractStore obj's underlying member method code with example usage: obj.create_registered_model(name, tags, description) without return types