basic:
  dataset: BJTaxi-InFlow
  device: cuda:0
  mode: train
  model: Informer
  seed: 2023

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

model:
  activation: gelu
  seq_len: 24
  label_len: 12
  pred_len: 24
  d_model: 128
  d_ff: 2048
  dropout: 0.1
  e_layers: 2
  d_layers: 1
  n_heads: 8
  output_attention: False
  factor: 5
  attn: prob
  embed: fixed
  freq: h
  distil: true
  mix: true
  enc_in: 1
  dec_in: 1
  c_out: 1


train:
  batch_size: 16
  debug: false
  early_stop: true
  early_stop_patience: 15
  epochs: 100
  grad_norm: false
  label_len: 24
  log_step: 1000
  loss_func: mae
  lr_decay: true
  lr_decay_rate: 0.3
  lr_decay_step: 5,20,40,70
  lr_init: 0.0001
  mae_thresh: None
  mape_thresh: 0.001
  max_grad_norm: 5
  output_dim: 1
  plot: false
  pred_len: 24
  real_value: true
  weight_decay: 0