TrafficWheel/config/NLT/BJTaxi-InFlow.yaml

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YAML

basic:
dataset: BJTaxi-InFlow
device: cuda:0
mode: train
model: NLT
seed: 2023
data:
batch_size: 32
column_wise: false
days_per_week: 7
horizon: 24
input_dim: 1
lag: 24
normalizer: std
num_nodes: 1024
steps_per_day: 48
test_ratio: 0.2
val_ratio: 0.2
model:
embed_dim: 10
feature_dim: 1
hidden_size: 64
input_dim: 1
input_window: 24
max_up_len: 80
natt_hops: 4
nfc: 256
num_layers: 2
output_dim: 1
output_window: 24
use_day: false
use_week: false
train:
batch_size: 32
debug: false
early_stop: true
early_stop_patience: 15
epochs: 300
grad_norm: false
log_step: 200
loss_func: mae
lr_decay: false
lr_decay_rate: 0.3
lr_decay_step: 5,20,40,70
lr_init: 0.003
mae_thresh: ''
mape_thresh: 0.0
max_grad_norm: 5
output_dim: 1
plot: false
real_value: true
seed: 10
weight_decay: 0