basic:
  dataset: BJTaxi-OutFlow
  device: cuda:0
  mode: train
  model: DSANET
  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:
  batch_size: 64
  d_inner: 2048
  d_k: 64
  d_model: 512
  d_v: 64
  drop_prob: 0.1
  input_dim: 1
  local: 3
  n_head: 8
  n_kernels: 32
  n_layers: 6
  n_multiv: 1024
  num_nodes: 1024
  output_dim: 1
  w_kernel: 1
  window: 24

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: 0.0
  mape_thresh: 0.0
  max_grad_norm: 5
  output_dim: 1
  plot: false
  real_value: true
  weight_decay: 0