TrafficWheel/config/DCRNN/PEMSD4.yaml

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