55 lines
793 B
YAML
55 lines
793 B
YAML
basic:
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dataset: AirQuality
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device: cuda:0
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mode: train
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model: AGCRN
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seed: 2023
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data:
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batch_size: 16
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column_wise: false
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days_per_week: 7
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horizon: 24
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input_dim: 6
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lag: 24
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normalizer: std
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num_nodes: 12
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steps_per_day: 24
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test_ratio: 0.2
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val_ratio: 0.2
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model:
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cheb_k: 2
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cheb_order: 2
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embed_dim: 10
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input_dim: 6
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num_layers: 2
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num_nodes: 12
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output_dim: 6
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rnn_units: 64
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train:
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batch_size: 16
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debug: false
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early_stop: true
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early_stop_patience: 15
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epochs: 100
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grad_norm: false
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log_step: 100
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loss_func: mae
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lr_decay: false
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lr_decay_rate: 0.3
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lr_decay_step:
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- 5
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- 20
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- 40
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- 70
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lr_init: 0.003
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mae_thresh: 0.0
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mape_thresh: 0.0
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max_grad_norm: 5
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output_dim: 6
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plot: false
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real_value: true
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weight_decay: 0
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