basic:
  dataset: SolarEnergy
  device: cuda:0
  mode: train
  model: AGCRN
  seed: 2023

data:
  batch_size: 64
  column_wise: false
  days_per_week: 7
  horizon: 24
  input_dim: 1
  lag: 24
  normalizer: std
  num_nodes: 137
  steps_per_day: 24
  test_ratio: 0.2
  val_ratio: 0.2

model:
  batch_size: 64
  dropout: 0.3
  gcn_depth: 1
  gcn_num: 2
  hid_c: 64
  in_dim: 1
  num_nodes: 137
  out_dim: 1
  residual_channels: 32
  skip_channels: 64
  subgraph_size: 20
  tanhalpha: 3
  time_strides: 1

train:
  batch_size: 64
  debug: false
  early_stop: true
  early_stop_patience: 15
  epochs: 100
  grad_norm: false
  log_step: 100
  loss_func: mae
  lr_decay: true
  lr_decay_rate: 0.3
  lr_decay_step: 5,20,40,70
  lr_init: 0.003
  mae_thresh:
  mape_thresh: 0.001
  max_grad_norm: 5
  output_dim: 1
  plot: false
  real_value: true
  seed: 10
  weight_decay: 0