basic:
  dataset: BJTaxi-InFlow
  device: cuda:0
  mode: train
  model: STSGCN
  seed: 2023
data:
  batch_size: 32
  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:
  activation: GLU
  construct_type: connectivity
  first_layer_embedding_size: 64
  hidden_dims:
  - - 64
    - 64
    - 64
  - - 64
    - 64
    - 64
  - - 64
    - 64
    - 64
  - - 64
    - 64
    - 64
  history: 24
  horizon: 24
  input_dim: 1
  out_layer_dim: 128
  output_dim: 1
  spatial_emb: true
  strides: 3
  temporal_emb: true
  use_mask: true
train:
  batch_size: 32
  debug: false
  early_stop: true
  early_stop_patience: 15
  epochs: 300
  grad_norm: false
  log_step: 200
  loss_func: mae
  lr_decay: false
  lr_decay_rate: 0.3
  lr_decay_step: 5,20,40,70
  lr_init: 0.003
  mae_thresh: ''
  mape_thresh: 0.0
  max_grad_norm: 5
  output_dim: 1
  plot: false
  real_value: true
  seed: 10
  weight_decay: 0