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benchmark_forecast.json
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benchmark_forecast.json
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{
"ARIMA": {"alias": "Arima"},
"Arima": {
"config": {
"default": {
"order": [30, 0, 10]
}
}
},
"SARIMA": {"alias": "Sarima"},
"Sarima": {
"config": {
"default": {
"order": [15, 1, 5],
"seasonal_order": [2, 0, 1, 30]
}
}
},
"AutoSARIMA": {"alias": "AutoSarima"},
"AutoSarima": {
"model_type": "SeasonalityLayer",
"config": {
"default": {
"model": {"name": "AutoSarima"},
"periodicity_strategy": "min"
}
}
},
"ETS": {
"config": {
"default": {
"damped_trend": true
}
}
},
"AutoETS": {
"config": {
"default": {
"damped_trend": true
}
}
},
"MSES": {
"config": {
"default": {
"max_forecast_steps": 100
}
}
},
"Prophet": {
"config": {
"default": {
"uncertainty_samples": 0
}
}
},
"AutoProphet": {
"config": {
"default": {
"uncertainty_samples": 0
}
}
},
"Var": {"alias": "VectorAR"},
"VAR": {"alias": "VectorAR"},
"VectorAR" : {
"config": {
"default": {
"target_seq_index": 0,
"maxlags": 168,
"max_forecast_steps": 3
}
},
"dataset": {}
},
"RandomForestForecaster" : {
"config": {
"default": {
"target_seq_index": 0,
"maxlags": 21,
"max_forecast_steps": 3,
"n_estimators": 100,
"max_depth": 9,
"prediction_stride": 1
},
"dataset": {}
}
},
"ExtraTreesForecaster" : {
"config": {
"default": {
"target_seq_index": 0,
"maxlags": 21,
"max_forecast_steps": 3,
"n_estimators": 100,
"max_depth": 9,
"prediction_stride": 1
},
"dataset": {}
}
},
"LGBMForecaster" : {
"config": {
"default": {
"target_seq_index": 0,
"maxlags": 21,
"max_forecast_steps": 3,
"learning_rate": 0.1,
"n_estimators": 100,
"max_depth": 7,
"prediction_stride": 1
},
"dataset": {}
}
}
}