default.yaml

hydra:
  run:
    dir: outputs/${hydra:job.name}/${hydra:runtime.choices.data}/${data.dataset_name}/${data.mode}/prediction_length=${data.prediction_length}/${run_name}
defaults:
  - model: ???
  - data: ???
  - _self_
run_name: ???
metrics:
  - _target_: gluonts.ev.metrics.MSE
  - _target_: uni2ts.eval_util.metrics.MedianMSE
  - _target_: gluonts.ev.metrics.MAE
  - _target_: gluonts.ev.metrics.MASE
  - _target_: gluonts.ev.metrics.MAPE
  - _target_: gluonts.ev.metrics.SMAPE
  - _target_: gluonts.ev.metrics.MSIS
  - _target_: gluonts.ev.metrics.RMSE
  - _target_: gluonts.ev.metrics.NRMSE
  - _target_: gluonts.ev.metrics.ND
  - _target_: gluonts.ev.metrics.MeanWeightedSumQuantileLoss
    quantile_levels: [0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9]
batch_size: 512
min_batch_size: 16
device: auto