66 lines
963 B
YAML
66 lines
963 B
YAML
basic:
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dataset: "PEMSD8"
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mode: "train"
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device: "cuda:0"
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model: "STAWnet"
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data:
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num_nodes: 170
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lag: 12
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horizon: 12
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val_ratio: 0.2
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test_ratio: 0.2
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tod: False
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normalizer: std
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column_wise: False
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default_graph: True
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add_time_in_day: True
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add_day_in_week: True
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steps_per_day: 288
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days_per_week: 7
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model:
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input_dim: 1
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output_dim: 1
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dropout: 0.3
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gat_bool: True
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addaptadj: True
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aptonly: False
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noapt: False
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in_dim: 2
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residual_channels: 32
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dilation_channels: 32
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skip_channels: 256
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end_channels: 512
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kernel_size: 2
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blocks: 4
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layers: 2
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emb_length: 16
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train:
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loss_func: mae
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seed: 10
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batch_size: 64
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epochs: 300
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lr_init: 0.003
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weight_decay: 0
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lr_decay: False
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lr_decay_rate: 0.3
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lr_decay_step: "5,20,40,70"
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early_stop: True
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early_stop_patience: 15
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grad_norm: False
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max_grad_norm: 5
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real_value: True
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test:
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mae_thresh: null
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mape_thresh: 0.0
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log:
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log_step: 200
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plot: False
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