DCRNN/data/model/dcrnn_config.yaml

35 lines
604 B
YAML

---
base_dir: data/model
batch_size: 64
cl_decay_steps: 2000
data_type: ALL
dropout: 0
epoch: 0
epochs: 100
filter_type: dual_random_walk
global_step: 0
graph_pkl_filename: data/sensor_graph/adj_mx.pkl
horizon: 12
l1_decay: 0
learning_rate: 0.01
loss_func: MAE
lr_decay: 0.1
lr_decay_epoch: 20
lr_decay_interval: 10
max_diffusion_step: 2
max_grad_norm: 5
min_learning_rate: 2.0e-06
null_val: 0
num_rnn_layers: 2
output_dim: 1
patience: 50
rnn_units: 64
seq_len: 12
test_every_n_epochs: 10
test_ratio: 0.2
use_cpu_only: false
use_curriculum_learning: true
validation_ratio: 0.1
verbose: 0
write_db: false