66 lines
1015 B
YAML
66 lines
1015 B
YAML
basic:
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dataset: BJTaxi-InFlow
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device: cuda:0
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mode: train
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model: STSGCN
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seed: 2023
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data:
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batch_size: 32
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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: 1
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lag: 24
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normalizer: std
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num_nodes: 1024
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steps_per_day: 48
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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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activation: GLU
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construct_type: connectivity
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first_layer_embedding_size: 64
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hidden_dims:
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- - 64
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- 64
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- 64
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- - 64
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- 64
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- 64
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- - 64
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- 64
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- 64
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- - 64
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- 64
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- 64
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history: 24
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horizon: 24
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input_dim: 1
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out_layer_dim: 128
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output_dim: 1
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spatial_emb: true
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strides: 3
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temporal_emb: true
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use_mask: true
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train:
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batch_size: 32
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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: 300
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grad_norm: false
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log_step: 200
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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: 5,20,40,70
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lr_init: 0.003
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mae_thresh: ''
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mape_thresh: 0.0
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max_grad_norm: 5
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output_dim: 1
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plot: false
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real_value: true
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seed: 10
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weight_decay: 0
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