{
    "data_config" : {
        "feature_dict": {
            "if_univariate": false,
            "if_trend": null,
            "has_timestamp": null,
            "if_season": null
        },
        "data_set_name": "large_forecast"
    },

	"model_config": {
        "models": [
        ],
        "recommend_model_hyper_params": {
            "input_chunk_length": 96,
            "output_chunk_length": 336,
            "add_relative_index": true,
            "norm": true
        }
    },

    "evaluation_config" : {
        "metrics": "all",
        "strategy_args": {
            "strategy_name": "rolling_forecast",
            "horizon": 336,
            "tv_ratio": 0.8,
            "train_ratio_in_tv": {"ETTm1.csv": 0.75, "ETTm2.csv": 0.75, "PEMS04.csv": 0.75, "PEMS08.csv": 0.75, "PEMS03.csv": 0.75, "PEMS07.csv": 0.75, "AQShunyi.csv": 0.75, "AQWan.csv": 0.75, "ETTh1.csv": 0.75, "ETTh2.csv": 0.75, "Solar.csv": 0.75, "__default__": 0.875},
            "stride": 1,
            "num_rollings": 48000,
            "seed": 2021,
            "deterministic": "efficient",
            "save_true_pred": false,
            "target_channel": null
        }
    },

    "report_config" : {
        "aggregate_type": "mean",
        "report_metrics": ["mse_norm", "mae_norm", "rmse_norm", "mape_norm", "smape_norm", "wape_norm", "msmape_norm"],
        "fill_type": "mean_value",
        "null_value_threshold": "0.3"
    }
}
