TrafficWheel/config/TWDGCN/Hainan.yaml

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basic:
dataset: Hainan
device: cuda:0
mode: train
model: TWDGCN
seed: 2023
data:
batch_size: 64
column_wise: false
days_per_week: 7
horizon: 12
input_dim: 1
lag: 12
normalizer: std
num_nodes: 200
steps_per_day: 288
test_ratio: 0.2
val_ratio: 0.2
model:
cheb_order: 2
default_graph: true
embed_dim: 6
horizon: 12
input_dim: 1
num_layers: 1
num_nodes: 200
output_dim: 1
rnn_units: 32
use_day: true
use_week: false
train:
batch_size: 64
debug: false
early_stop: true
early_stop_patience: 15
epochs: 50
grad_norm: false
log_step: 10000
loss_func: mae
lr_decay: false
lr_decay_rate: 0.3
lr_decay_step:
- 5
- 20
- 40
- 70
lr_init: 0.003
mae_thresh: null
mape_thresh: 0.0
max_grad_norm: 5
output_dim: 1
plot: false
real_value: true
seed: 10
weight_decay: 0