basic:
  dataset: "Hainan"
  mode: "train"
  device: "cuda:0"
  model: "TWDGCN"

data:
  num_nodes: 13
  lag: 12
  horizon: 12
  val_ratio: 0.2
  test_ratio: 0.2
  tod: false
  normalizer: std
  column_wise: false
  default_graph: true
  add_time_in_day: true
  add_day_in_week: true
  steps_per_day: 288
  days_per_week: 7
  batch_size: 64

model:
  horizon: 12
  default_graph: true
  input_dim: 1
  output_dim: 1
  embed_dim: 6
  rnn_units: 32
  num_layers: 1
  cheb_order: 2
  use_day: true
  use_week: false

train:
  loss_func: mae
  seed: 10
  batch_size: 64
  epochs: 50
  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
  real_value: true

test:
  mae_thresh: null
  mape_thresh: 0.0

log:
  log_step: 10000
  plot: false