class_docstr: Client for a remote model registry server accessed via REST API calls
  
  :param get_host_creds: Method to be invoked prior to every REST request to get the
    :py:class:`mlflow.rest_utils.MlflowHostCreds` for the request. Note that this
    is a function so that we can obtain fresh credentials in the case of expiry.
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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.
      """
      proto_tags = [tag.to_proto() for tag in tags or []]
      req_body = message_to_json(
          CreateRegisteredModel(
              name=name, tags=proto_tags, description=description
          )
      )
      response_proto = self._call_endpoint(
          CreateRegisteredModel, req_body
      )
      return RegisteredModel.from_proto(response_proto.registered_model)
  
imports: import logging
  from mlflow.entities.model_registry import ModelVersion, RegisteredModel
  from mlflow.protos.model_registry_pb2 import CreateModelVersion, CreateRegisteredModel, DeleteModelVersion, DeleteModelVersionTag, DeleteRegisteredModel, DeleteRegisteredModelAlias, DeleteRegisteredModelTag, GetLatestVersions, GetModelVersion, GetModelVersionByAlias, GetModelVersionDownloadUri, GetRegisteredModel, ModelRegistryService, RenameRegisteredModel, SearchModelVersions, SearchRegisteredModels, SetModelVersionTag, SetRegisteredModelAlias, SetRegisteredModelTag, TransitionModelVersionStage, UpdateModelVersion, UpdateRegisteredModel
  from mlflow.store.entities.paged_list import PagedList
  from mlflow.store.model_registry.base_rest_store import BaseRestStore
  from mlflow.utils.proto_json_utils import message_to_json
  from mlflow.utils.rest_utils import _REST_API_PATH_PREFIX, extract_all_api_info_for_service, extract_api_info_for_service
label_desc: Use image node_id 4 for calling the RestStore obj's underlying member method code with example usage: obj.create_registered_model(name, tags, description) and returns: RegisteredModel