basic:
  dataset: "PEMSD8"
  mode: "train"
  device: "cuda:0"
  model: "MegaCRN"

data:
  num_nodes: 170
  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

model:
  input_dim: 1
  output_dim: 1
  rnn_units: 64
  num_layers: 1
  cheb_k: 3
  ycov_dim: 1
  mem_num: 20
  mem_dim: 64
  cl_decay_steps: 2000
  use_curriculum_learning: True

train:
  loss_func: mae
  seed: 10
  batch_size: 64
  epochs: 300
  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: 200
  plot: False