class_docstr: Exception thrown when building a model registry store with an unsupported URI
class_docstr_tok: ["Exception","thrown","when","building","a","model","registry","store","with","an","unsupported","URI"]
code: def __init__(self, unsupported_uri, supported_uri_schemes):
      message = (
          " Model registry functionality is unavailable; got unsupported URI"
          f" '{unsupported_uri}' for model registry data storage. Supported URI schemes are:"
          f" {supported_uri_schemes}."
          " See https://www.mlflow.org/docs/latest/tracking.html#storage for how to run"
          " an MLflow server against one of the supported backend storage locations."
      )
      super().__init__(message, error_code=INVALID_PARAMETER_VALUE)
      self.supported_uri_schemes = supported_uri_schemes
  
file_path: mlflow/mlflow/tracking/registry.py
imports: import warnings
  from abc import ABCMeta, abstractmethod
  import entrypoints
  from mlflow.exceptions import MlflowException
  from mlflow.protos.databricks_pb2 import INVALID_PARAMETER_VALUE
  from mlflow.utils.uri import get_uri_scheme
label_desc: Use image node_id 1 to create a new UnsupportedModelRegistryStoreURIException object from inherited base classes: MlflowException with example: obj = UnsupportedModelRegistryStoreURIException(unsupported_uri, supported_uri_schemes)