basic:
  dataset: BJTaxi-OutFlow
  device: cuda:0
  mode: train
  model: D2STGNN
  seed: 2023

data:
  batch_size: 16
  column_wise: false
  days_per_week: 7
  horizon: 24
  input_dim: 1
  lag: 24
  normalizer: std
  num_nodes: 1024
  steps_per_day: 48
  test_ratio: 0.2
  val_ratio: 0.2

model:
  num_nodes: 1024
  num_layers: 4
  num_hidden: 32
  forecast_dim: 256
  output_hidden: 512
  output_dim: 1
  seq_len: 24
  horizon: 24 
  input_dim: 1
  num_timesteps_in_day: 48
  time_emb_dim: 10
  node_hidden: 10
  dy_graph: True
  sta_graph: False
  gap: 3
  k_s: 2
  k_t: 3
  dropout: 0.1

train:
  batch_size: 16
  debug: false
  early_stop: true
  early_stop_patience: 15
  epochs: 100
  grad_norm: false
  log_step: 1000
  loss_func: mae
  lr_decay: true
  lr_decay_rate: 0.3
  lr_decay_step: 5,20,40,70
  lr_init: 0.003
  mae_thresh: None
  mape_thresh: 0.001
  max_grad_norm: 5
  output_dim: 1
  plot: false
  real_value: true
  weight_decay: 0