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

data:
  num_nodes: 128
  lag: 24
  horizon: 24
  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: 48
  days_per_week: 7
  input_dim: 1
  output_dim: 1
  batch_size: 64

model:
  input_dim: 3
  output_dim: 1
  history: 24
  horizon: 24
  num_nodes: 128
  input_len: 24
  embed_dim: 32
  output_len: 24
  num_layer: 3
  if_node: True
  node_dim: 32
  if_T_i_D: True
  if_D_i_W: True
  temp_dim_tid: 32
  temp_dim_diw: 32
  time_of_day_size: 288
  day_of_week_size: 7
  batch_size: 64


train:
  loss_func: mae
  seed: 1
  batch_size: 64
  epochs: 100
  lr_init: 0.002
  weight_decay: 0.0001
  lr_decay: False
  lr_decay_rate: 0.3
  lr_decay_step: "1,50,80"
  early_stop: True
  early_stop_patience: 15
  grad_norm: False
  max_grad_norm: 5
  real_value: True
  debug: true
  output_dim: 1
  mae_thresh: null
  mape_thresh: 0.001
  log_step: 200
  plot: False