chronos-microgru / evaluation.json
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Publish Probabilistic eight-step industrial telemetry forecaster
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{
"model": "Chronos MicroGRU",
"parameters": 8208,
"context": 32,
"horizon": 8,
"channels": [
"temperature",
"pressure",
"vibration",
"current",
"flow",
"packet_rate"
],
"train_windows": 3830,
"validation_windows": 948,
"test_windows": 961,
"best_epoch": 38,
"variance_scale": 1.05,
"model_test": {
"normalized_rmse": 0.26626020669937134,
"normalized_mae": 0.19292967021465302,
"gaussian_nll": -1.0139933824539185,
"interval_90_coverage": 0.8862946583420048,
"mean_interval_width": 0.7816126942634583
},
"persistence_test": {
"normalized_rmse": 0.3729550838470459,
"normalized_mae": 0.26573994755744934
},
"rmse_improvement_percent": 28.60796963728523,
"model_channel_metrics": {
"temperature": {
"rmse": 1.0075331926345825,
"mae": 0.8248881101608276
},
"pressure": {
"rmse": 0.8195824027061462,
"mae": 0.6552034616470337
},
"vibration": {
"rmse": 0.0874105840921402,
"mae": 0.06943069398403168
},
"current": {
"rmse": 0.3007839322090149,
"mae": 0.23933608829975128
},
"flow": {
"rmse": 0.8989439606666565,
"mae": 0.7173601984977722
},
"packet_rate": {
"rmse": 4.041879177093506,
"mae": 3.2288103103637695
}
},
"persistence_channel_metrics": {
"temperature": {
"rmse": 1.1200745105743408,
"mae": 0.8925882577896118
},
"pressure": {
"rmse": 1.1493462324142456,
"mae": 0.9189407229423523
},
"vibration": {
"rmse": 0.1277424842119217,
"mae": 0.10088279843330383
},
"current": {
"rmse": 0.43681859970092773,
"mae": 0.3465101718902588
},
"flow": {
"rmse": 1.259148359298706,
"mae": 1.0023177862167358
},
"packet_rate": {
"rmse": 5.790362358093262,
"mae": 4.628175735473633
}
}
}