basic:
  dataset: NYCBike-InFlow
  device: cuda:0
  mode: train
  model: DDGCRN
  seed: 2023

data:
  batch_size: 32
  column_wise: false
  days_per_week: 7
  horizon: 24
  input_dim: 1
  lag: 24
  normalizer: std
  num_nodes: 128
  steps_per_day: 48
  test_ratio: 0.2
  val_ratio: 0.2

model:
  cheb_order: 2
  embed_dim: 12
  input_dim: 1
  num_layers: 1
  num_nodes: 128
  output_dim: 1
  rnn_units: 64
  use_day: true
  use_week: false

train:
  batch_size: 32
  debug: false
  early_stop: true
  early_stop_patience: 15
  epochs: 50
  grad_norm: false
  log_step: 10000
  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