Global: model: TimesNet_cls mode: check_dataset # check_dataset/train/evaluate/predict dataset_dir: "/paddle/dataset/paddlex/ts_cls/ts_classify_examples" device: gpu:0 output: "output" CheckDataset: convert: enable: False src_dataset_type: null split: enable: False train_percent: null val_percent: null Train: time_col: time target_cols: dim_0,dim_1,dim_2 group_id: group_id static_cov_cols: label freq: 1 epochs_iters: 40 batch_size: 16 learning_rate: 0.0001 Evaluate: weight_path: "output/best_model/model.pdparams" Export: weight_path: https://paddlets.bj.bcebos.com/dygraph/TimesNet_cls.pdparams.tar Predict: batch_size: 1 model_dir: "output/inference" input: "https://paddle-model-ecology.bj.bcebos.com/paddlex/ts/demo_ts/ts_cls.csv"