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