basic:
  dataset: PEMSD3
  device: cuda:0
  mode: train
  model: STMLP
  seed: 2023

data:
  batch_size: 16
  column_wise: false
  days_per_week: 7
  horizon: 12
  input_dim: 1
  lag: 12
  normalizer: std
  num_nodes: 358
  steps_per_day: 288
  test_ratio: 0.2
  val_ratio: 0.2

model:
  buildA_true: true
  conv_channels: 32
  dilation_exponential: 1
  dropout: 0.3
  end_channels: 128
  gcn_depth: 2
  gcn_true: true
  input_dim: 1
  input_window: 12
  layer_norm_affline: true
  layers: 3
  model_type: stmlp
  node_dim: 40
  num_nodes: 358
  num_split: 1
  output_dim: 1
  output_window: 12
  propalpha: 0.05
  residual_channels: 32
  skip_channels: 64
  step_size1: 2500
  step_size2: 100
  subgraph_size: 20
  tanhalpha: 3
  task_level: 0
  use_curriculum_learning: true

train:
  batch_size: 16
  debug: false
  early_stop: true
  early_stop_patience: 15
  epochs: 300
  grad_norm: false
  log_step: 2000
  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
  teacher_stu: true
  weight_decay: 0