batch_size: 16 #
seq_len: 96 #
predict_len: 0 #
label_len: 0 #
do_eval: True #
epoch: 30 # max_epochs
training: True # 
eval_metrics:  ['acc', ] 
task: classification
to_static_train: False
use_amp: False
amp_level: O2

dataset: 
  name: TSCLSDataset
  dataset_root: ./data/
  train_path: ./data/train.csv
  val_path: ./data/val.csv
  scale: True
  time_feat: False

info_params:
  time_col: time
  group_id: group_id
  target_cols: ['dim_0', 'dim_1', 'dim_2']
  static_cov_cols: label

model: 
  name: TimesNet_CLS
  model_cfg:
    e_layers: 3 #
    num_kernels: 6 #
    d_model: 32 #
    d_ff: 32 #
    top_k: 3 # 
    window_sampling_limit: Null # 
    patience: 10 #
    optimizer_params:
      learning_rate: 0.001
      gamma: 0.9

output: 'output/'