def METHOD_NAME():
    # pylint: disable=unused-variable
    experiment = "test"  # type: ignore
    data_path = str(DEFAULT_DATA_PATH)  # type: ignore
    evaluations_path = str(DEFAULT_EVALUATIONS_PATH)  # type: ignore
    recommender = "pareto"  # type: ignore
    num_recommendations = 20  # type: ignore
    objectives = "ncrps_mean,latency_mean"  # type: ignore
    focus_objective = None  # type: ignore
    enforce_single_objective = False  # type: ignore
    surrogate = {  # type: ignore
        "name": "mlp",
        "inputs": {
            "use_simple_dataset_features": False,
            "use_seasonal_naive_performance": False,
            "use_catch22_features": False,
        },
        "outputs": {
            "normalization": "quantile",
            "imputation": False,
        },
        "xgboost": {
            "objective": "regression",
        },
        "autogluon": {
            "time_limit": 10,
        },
        "mlp": {
            "objective": "ranking",
            "discount": "linear",
            "hidden_layer_sizes": [32, 32],
            "weight_decay": 0.01,
            "dropout": 0.0,
        },
    }