basic:
  dataset: "METR-LA"
  mode: "train"
  device: "cuda:0"
  model: "DDGCRN"
  seed: 2023

data:
  add_day_in_week: true
  add_time_in_day: true
  column_wise: false
  days_per_week: 7
  default_graph: true
  horizon: 24
  lag: 24
  normalizer: std
  num_nodes: 207
  steps_per_day: 288
  test_ratio: 0.2
  tod: false
  val_ratio: 0.2
  sample: 1
  input_dim: 1
  batch_size: 64

model:
  input_dim: 1
  output_dim: 1
  embed_dim: 12
  rnn_units: 64
  num_layers: 1
  cheb_order: 2
  use_day: True
  use_week: False
  num_nodes: 207
  horizon: 24


train:
  loss_func: mask_mae
  seed: 10
  batch_size: 64
  epochs: 100
  lr_init: 0.003
  weight_decay: 0
  lr_decay: False
  lr_decay_rate: 0.3
  lr_decay_step: "5,20,40,70"
  early_stop: True
  early_stop_patience: 15
  grad_norm: False
  max_grad_norm: 5
  debug: false
  mae_thresh: 0.0
  mape_thresh: 0.0
  log_step: 10000
  plot: False
  output_dim: 1