{
  "framework": "PyTorch and NumPy",
  "task": "NDJ/JFM four-class western-US seasonal precipitation pattern forecasting",
  "model": "CESM-SeasonalML",
  "dataset": "data/cesm_seasonal_ml_fake.npz",
  "input_format": "NPZ: RF/XGB [B,103], NN [B,416], LSTM NDJ [B,4,28] or JFM [B,12,28], target [B]",
  "default_config": "conf/config.yaml",
  "training": "scripts/train.py",
  "inference": "scripts/inference.py",
  "evaluation": "scripts/result.py",
  "visualization": "scripts/result.py"
}