| seed: 42 | |
| data: | |
| root: data | |
| format_version: wofs_storm_object_113_v1 | |
| train_samples: 1200 | |
| test_samples: 500 | |
| input_features: 113 | |
| amplitude_features: 30 | |
| spatial_features: 76 | |
| object_properties: 7 | |
| hazards: [tornado, hail, wind] | |
| lead_groups: [first_hour, second_hour] | |
| ensemble_members: 18 | |
| grid_spacing_km: 3 | |
| forecast_window_minutes: 30 | |
| forecast_interval_minutes: 5 | |
| model: | |
| calibration_points: 256 | |
| train: | |
| epochs: 30 | |
| batch_size: 128 | |
| learning_rate: 0.03 | |
| l1_strength: 0.002 | |
| l2_strength: 0.01 | |
| calibration_fraction: 0.2 | |
| gradient_clip_norm: 5.0 | |
| num_workers: 0 | |
| runtime: | |
| device: auto | |
| paths: | |
| checkpoint: result/checkpoints/wofsstormcal.pt | |
| training_metrics: result/training/metrics.json | |
| inference_dir: result/output | |
| evaluation_dir: result/evaluation | |
| evaluation: | |
| probability_bins: 10 | |
| threshold_count: 201 | |