TSBench / F5_GP_RBF /metadata.json
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{
"generator": "F5_GP_RBF",
"family": "F5: Gaussian Process",
"process": "GP with RBF (Squared Exponential) kernel",
"params": {
"length_scale": 0.3,
"variance": 1.0
},
"oracle_method": "Kriging closed-form posterior",
"description": "Smooth, infinitely differentiable GP sample paths. Lengthscale controls correlation range.",
"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": 0.001969728705502227,
"std": 0.9978337012291862,
"min": -4.83969901118161,
"max": 4.233327223731424
},
"test": {
"n_samples": 500,
"length": 288,
"n_channels": 1,
"mean": 0.05433512962281613,
"std": 0.9871983527212738,
"min": -3.1667610884953863,
"max": 3.7823321405170387
}
}
}