71 lines
1.1 KiB
YAML
71 lines
1.1 KiB
YAML
basic:
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dataset: PEMSD4
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device: cuda:0
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mode: train
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model: STMLP
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seed: 2023
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data:
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batch_size: 64
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column_wise: false
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days_per_week: 7
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horizon: 12
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input_dim: 1
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lag: 12
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normalizer: std
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num_nodes: 307
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steps_per_day: 288
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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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buildA_true: true
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conv_channels: 32
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dilation_exponential: 1
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dropout: 0.3
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end_channels: 128
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gcn_depth: 2
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gcn_true: true
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input_dim: 1
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input_window: 12
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layer_norm_affline: true
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layers: 3
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model_type: stmlp
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node_dim: 40
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num_split: 1
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output_dim: 1
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output_window: 12
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propalpha: 0.05
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residual_channels: 32
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skip_channels: 64
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step_size1: 2500
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step_size2: 100
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subgraph_size: 20
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tanhalpha: 3
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task_level: 0
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use_curriculum_learning: true
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train:
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batch_size: 64
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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: 2000
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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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teacher: true
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teacher_stu: true
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weight_decay: 0
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