TrafficWheel/config/DCRNN/PEMSD4.yaml

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basic:
dataset: PEMSD4
device: cuda:0
mode: train
model: DCRNN
seed: 2023
data:
batch_size: 64
column_wise: true
days_per_week: 7
horizon: 12
input_dim: 1
lag: 12
normalizer: std
num_nodes: 307
steps_per_day: 288
test_ratio: 0.2
val_ratio: 0.2
model:
cl_decay_steps: 1000
filter_type: dual_random_walk
horizon: 12
input_dim: 1
l1_decay: 0
max_diffusion_step: 2
num_rnn_layers: 2
output_dim: 1
rnn_units: 64
seq_len: 12
use_curriculum_learning: true
train:
batch_size: 64
debug: false
early_stop: true
early_stop_patience: 25
epochs: 300
grad_norm: true
log_step: 200
loss_func: mask_mae
lr_decay: true
lr_decay_rate: 0.1
lr_decay_step: 10,20,40,80
lr_init: 0.001
mae_thresh:
mape_thresh: 0.0
max_grad_norm: 5
output_dim: 1
plot: false
real_value: false
seed: 10
weight_decay: 0.0001