basic:
  dataset: PEMSD7
  device: cuda:0
  mode: train
  model: NLT
  seed: 2023

data:
  batch_size: 16
  column_wise: false
  days_per_week: 7
  horizon: 12
  input_dim: 1
  lag: 12
  normalizer: std
  num_nodes: 883
  steps_per_day: 288
  test_ratio: 0.2
  val_ratio: 0.2

model:
  embed_dim: 10
  feature_dim: 1
  hidden_size: 64
  input_dim: 1
  input_window: 12
  max_up_len: 80
  natt_hops: 4
  nfc: 256
  num_layers: 2
  num_nodes: 883
  output_dim: 1
  output_window: 12
  use_day: false
  use_week: false

train:
  batch_size: 16
  debug: false
  early_stop: true
  early_stop_patience: 15
  epochs: 300
  grad_norm: false
  log_step: 200
  loss_func: mae
  lr_decay: false
  lr_decay_rate: 0.3
  lr_decay_step: 5,20,40,70
  lr_init: 0.003
  mae_thresh: 0.0
  mape_thresh: 0.0
  max_grad_norm: 5
  output_dim: 1
  plot: false
  real_value: true
  weight_decay: 0