DCRNN/data/model/dcrnn_bay.yaml

40 lines
708 B
YAML

---
base_dir: data/model
log_level: INFO
data:
batch_size: 64
dataset_dir: data/PEMS-BAY
test_batch_size: 64
val_batch_size: 64
graph_pkl_filename: data/sensor_graph/adj_mx_bay.pkl
model:
cl_decay_steps: 2000
filter_type: dual_random_walk
horizon: 12
input_dim: 2
l1_decay: 0
max_diffusion_step: 2
num_nodes: 325
num_rnn_layers: 2
output_dim: 1
rnn_units: 64
seq_len: 12
use_curriculum_learning: true
train:
base_lr: 0.01
dropout: 0
epoch: 0
epochs: 100
epsilon: 1.0e-3
global_step: 0
lr_decay_ratio: 0.1
max_grad_norm: 5
max_to_keep: 100
min_learning_rate: 2.0e-06
optimizer: adam
patience: 50
steps: [20, 30, 40, 50]
test_every_n_epochs: 10