TSBench / F5_GP_Matern /metadata.json
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{
"generator": "F5_GP_Matern",
"family": "F5: Gaussian Process",
"process": "GP with Matern-3/2 kernel",
"params": {
"length_scale": 0.3,
"nu": 1.5,
"variance": 1.0
},
"oracle_method": "Kriging closed-form posterior",
"description": "GP with once-differentiable sample paths (nu=1.5). More realistic than RBF for physical processes.",
"L_star_type": "analytic",
"data_config": {
"context_length": 192,
"horizon": 96,
"total_length": 288,
"n_channels": 1,
"n_train": 10000,
"n_test": 500,
"seed_train": 42,
"seed_test": 9999
},
"statistics": {
"train": {
"n_samples": 10000,
"length": 288,
"n_channels": 1,
"mean": 0.0050898633078428806,
"std": 0.9984140215711862,
"min": -5.166886133556839,
"max": 4.395280240889112
},
"test": {
"n_samples": 500,
"length": 288,
"n_channels": 1,
"mean": 0.026336263169737983,
"std": 0.983687702868142,
"min": -4.042134325900991,
"max": 3.79917490933677
}
}
}