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

data:
  add_day_in_week: true
  add_time_in_day: true
  column_wise: false
  days_per_week: 7
  default_graph: true
  horizon: 12
  lag: 12
  normalizer: std
  num_nodes: 170
  steps_per_day: 288
  test_ratio: 0.2
  tod: false
  val_ratio: 0.2
log:
  log_step: 2000
  plot: false
model:
  input_dim: 1
  output_dim: 1
  p: 2
  d: 1
  q: 1
  drift: True
test:
  mae_thresh: None
  mape_thresh: 0.001
train:
  loss_func: mae
  seed: 10
  batch_size: 64
  epochs: 100
  lr_init: 0.003
  lr_decay: false
  weight_decay: 0
  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