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- batch_size: 128
- seq_len: 100
- do_eval: True
- epoch: 5
- training: True
- task: anomaly
- to_static_train: False
- use_amp: False
- amp_level: O2
- dataset:
- name: TSADDataset
- dataset_root: ./data/
- train_path: ./data/train.csv
- val_path: ./data/val.csv
- scale: True
- time_feat: False
- info_params:
- freq: 1
- label_col: "label"
- time_col: "timestamp"
- feature_cols: "feature_0,feature_1"
- model:
- name: TimesNet_AD
- model_cfg:
- c_in: 2
- e_layers: 1
- num_kernels: 6
- d_model: 8
- optimizer_params:
- learning_rate: 0.001
- gamma: 0.5
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