backend

openml._api.setup.backend

APIBackend

Central backend for accessing all OpenML API resource interfaces.

This class provides a singleton interface to dataset, task, flow, evaluation, run, setup, study, and other resource APIs. It also manages configuration through a nested Config object and allows dynamic retrieval and updating of configuration values.

PARAMETER	DESCRIPTION
config	Optional configuration object. If not provided, a default Config instance is created. TYPE: Config

ATTRIBUTE	DESCRIPTION
dataset	Interface for dataset-related API operations. TYPE: DatasetAPI
task	Interface for task-related API operations. TYPE: TaskAPI
evaluation_measure	Interface for evaluation measure-related API operations. TYPE: EvaluationMeasureAPI
estimation_procedure	Interface for estimation procedure-related API operations. TYPE: EstimationProcedureAPI
evaluation	Interface for evaluation-related API operations. TYPE: EvaluationAPI
flow	Interface for flow-related API operations. TYPE: FlowAPI
study	Interface for study-related API operations. TYPE: StudyAPI
run	Interface for run-related API operations. TYPE: RunAPI
setup	Interface for setup-related API operations. TYPE: SetupAPI

get_instance classmethod

get_instance() -> APIBackend

Get the singleton instance of the APIBackend.

RETURNS	DESCRIPTION
APIBackend	Singleton instance of the backend.

Source code in openml/_api/setup/backend.py

@classmethod
def get_instance(cls) -> APIBackend:
    """
    Get the singleton instance of the APIBackend.

    Returns
    -------
    APIBackend
        Singleton instance of the backend.
    """
    if cls._instance is None:
        cls._instance = cls()
    return cls._instance