Update the pretrained model and results.
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---
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base_dir: data/model
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base_dir: data/model
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batch_size: 64
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batch_size: 64
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cl_decay_steps: 2000
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cl_decay_steps: 2000
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data_type: ALL
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data_type: ALL
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dropout: 0
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dropout: 0
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epoch: 75
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epoch: 100
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epochs: 100
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epochs: 100
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filter_type: dual_random_walk
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filter_type: dual_random_walk
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global_step: !!python/object/apply:numpy.core.multiarray.scalar
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global_step: 35451
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- !!python/object/apply:numpy.dtype
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graph_pkl_filename: data/sensor_graph/adj_mx.pkl
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args: [i8, 0, 1]
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horizon: 12
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state: !!python/tuple [3, <, null, null, null, -1, -1, 0]
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l1_decay: 0
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- !!binary |
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learning_rate: 0.01
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NGgAAAAAAAA=
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log_dir: data/model/dcrnn_DR_2_h_12_64-64_lr_0.01_bs_64_d_0.00_sl_12_MAE_1207002222/
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graph_pkl_filename: data/sensor_graph/adj_mx.pkl
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loss_func: MAE
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horizon: 12
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lr_decay: 0.1
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l1_decay: 0
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lr_decay_epoch: 20
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learning_rate: 0.01
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lr_decay_interval: 10
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log_dir: data/model/dcrnn_DR_2_h_12_64-64_lr_0.01_bs_64_d_0.00_sl_12_MAE_0606021843/
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max_diffusion_step: 2
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loss_func: MAE
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max_grad_norm: 5
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lr_decay: 0.1
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min_learning_rate: 2.0e-06
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lr_decay_epoch: 20
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model_filename: data/model/dcrnn_DR_2_h_12_64-64_lr_0.01_bs_64_d_0.00_sl_12_MAE_1207002222/models-1.6253-35451
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lr_decay_interval: 10
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null_val: 0
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max_diffusion_step: 2
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num_rnn_layers: 2
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max_grad_norm: 5
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patience: 50
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min_learning_rate: 2.0e-06
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rnn_units: 64
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model_filename: data/model/dcrnn_DR_2_h_12_64-64_lr_0.01_bs_64_d_0.00_sl_12_MAE_0606021843/models-2.8476-26676
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seq_len: 12
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null_val: 0
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test_every_n_epochs: 10
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num_rnn_layers: 2
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test_ratio: 0.2
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output_dim: 1
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use_cpu_only: false
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patience: 50
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use_curriculum_learning: true
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rnn_units: 64
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validation_ratio: 0.1
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seq_len: 12
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verbose: 0
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test_every_n_epochs: 10
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write_db: false
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test_ratio: 0.2
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use_cpu_only: false
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use_curriculum_learning: true
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validation_ratio: 0.1
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verbose: 0
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write_db: false
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@ -1,66 +0,0 @@
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model_checkpoint_path: "models-1.6253-35451"
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all_model_checkpoint_paths: "models-2.9323-351"
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all_model_checkpoint_paths: "models-2.2916-702"
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all_model_checkpoint_paths: "models-2.1618-1404"
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all_model_checkpoint_paths: "models-2.1094-1755"
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all_model_checkpoint_paths: "models-2.0356-2106"
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all_model_checkpoint_paths: "models-2.0139-2808"
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all_model_checkpoint_paths: "models-1.9127-3159"
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all_model_checkpoint_paths: "models-1.8968-4914"
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all_model_checkpoint_paths: "models-1.8671-5265"
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all_model_checkpoint_paths: "models-1.8386-7371"
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all_model_checkpoint_paths: "models-1.7334-7722"
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all_model_checkpoint_paths: "models-1.7301-8073"
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all_model_checkpoint_paths: "models-1.7291-8424"
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all_model_checkpoint_paths: "models-1.7214-8775"
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all_model_checkpoint_paths: "models-1.7164-9477"
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all_model_checkpoint_paths: "models-1.7163-10530"
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all_model_checkpoint_paths: "models-1.6611-11232"
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all_model_checkpoint_paths: "models-1.6586-11583"
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all_model_checkpoint_paths: "models-1.6576-11934"
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all_model_checkpoint_paths: "models-1.6554-12636"
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all_model_checkpoint_paths: "models-1.6552-13338"
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all_model_checkpoint_paths: "models-1.6540-13689"
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all_model_checkpoint_paths: "models-1.6526-14391"
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all_model_checkpoint_paths: "models-1.6425-14742"
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all_model_checkpoint_paths: "models-1.6415-15444"
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all_model_checkpoint_paths: "models-1.6385-15795"
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all_model_checkpoint_paths: "models-1.6377-16497"
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all_model_checkpoint_paths: "models-1.6358-16848"
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all_model_checkpoint_paths: "models-1.6358-17901"
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all_model_checkpoint_paths: "models-1.6284-18252"
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all_model_checkpoint_paths: "models-1.6284-18603"
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all_model_checkpoint_paths: "models-1.6282-18954"
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all_model_checkpoint_paths: "models-1.6281-19305"
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all_model_checkpoint_paths: "models-1.6275-19656"
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all_model_checkpoint_paths: "models-1.6273-20007"
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all_model_checkpoint_paths: "models-1.6273-20709"
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all_model_checkpoint_paths: "models-1.6271-21060"
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all_model_checkpoint_paths: "models-1.6266-21411"
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all_model_checkpoint_paths: "models-1.6265-21762"
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all_model_checkpoint_paths: "models-1.6263-23166"
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all_model_checkpoint_paths: "models-1.6262-24570"
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all_model_checkpoint_paths: "models-1.6261-24921"
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all_model_checkpoint_paths: "models-1.6259-25974"
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all_model_checkpoint_paths: "models-1.6259-27378"
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all_model_checkpoint_paths: "models-1.6259-27729"
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all_model_checkpoint_paths: "models-1.6259-28080"
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all_model_checkpoint_paths: "models-1.6259-28431"
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all_model_checkpoint_paths: "models-1.6258-28782"
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all_model_checkpoint_paths: "models-1.6258-29484"
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all_model_checkpoint_paths: "models-1.6258-29835"
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all_model_checkpoint_paths: "models-1.6257-30186"
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all_model_checkpoint_paths: "models-1.6257-30537"
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all_model_checkpoint_paths: "models-1.6257-30888"
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all_model_checkpoint_paths: "models-1.6256-31239"
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all_model_checkpoint_paths: "models-1.6256-31941"
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all_model_checkpoint_paths: "models-1.6255-32292"
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all_model_checkpoint_paths: "models-1.6255-32643"
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all_model_checkpoint_paths: "models-1.6255-32994"
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all_model_checkpoint_paths: "models-1.6254-33345"
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all_model_checkpoint_paths: "models-1.6254-33696"
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all_model_checkpoint_paths: "models-1.6254-34047"
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all_model_checkpoint_paths: "models-1.6253-34398"
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all_model_checkpoint_paths: "models-1.6253-34749"
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all_model_checkpoint_paths: "models-1.6253-35100"
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all_model_checkpoint_paths: "models-1.6253-35451"
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@ -14,11 +14,12 @@ flags.DEFINE_bool('use_cpu_only', False, 'Whether to run tensorflow on cpu.')
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def run_dcrnn(traffic_reading_df):
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def run_dcrnn(traffic_reading_df):
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run_id = 'dcrnn_DR_2_h_12_64-64_lr_0.01_bs_64_d_0.00_sl_12_MAE_1207002222'
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# run_id = 'dcrnn_DR_2_h_12_64-64_lr_0.01_bs_64_d_0.00_sl_12_MAE_1207002222'
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run_id = 'dcrnn_DR_2_h_12_64-64_lr_0.01_bs_64_d_0.00_sl_12_MAE_0606021843'
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log_dir = os.path.join('data/model', run_id)
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log_dir = os.path.join('data/model', run_id)
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config_filename = 'config_100.yaml'
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config_filename = 'config_75.yaml'
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graph_pkl_filename = 'data/sensor_graph/adj_mx.pkl'
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graph_pkl_filename = 'data/sensor_graph/adj_mx.pkl'
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with open(os.path.join(log_dir, config_filename)) as f:
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with open(os.path.join(log_dir, config_filename)) as f:
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config = yaml.load(f)
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config = yaml.load(f)
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