更新pip, STID配置

.vscode/launch.json

@@ -60,6 +60,14 @@
             "console": "integratedTerminal",
             "args": "--config ./config/STID/NYCBike_Outflow.yaml"
         },
+        {
+            "name": "STID-SolarEnergy",
+            "type": "debugpy",
+            "request": "launch",
+            "program": "run.py",
+            "console": "integratedTerminal",
+            "args": "--config ./config/STID/SolarEnergy.yaml"
+        },
         {
             "name": "REPST-BJTaxi-InFlow",
             "type": "debugpy",

config/STID/AirQuality.yaml

@@ -0,0 +1,66 @@
+basic:
+  dataset: "AirQuality"
+  mode: "train"
+  device: "cuda:0"
+  model: "STID"
+  seed: 2023
+
+data:
+  num_nodes: 35
+  lag: 24
+  horizon: 24
+  val_ratio: 0.2
+  test_ratio: 0.2
+  tod: False
+  normalizer: std
+  column_wise: False
+  default_graph: True
+  add_time_in_day: True
+  add_day_in_week: True
+  steps_per_day: 48
+  days_per_week: 7
+  input_dim: 1
+  output_dim: 1
+  batch_size: 64
+
+model:
+  input_dim: 3
+  output_dim: 1
+  history: 24
+  horizon: 24
+  num_nodes: 35
+  input_len: 24
+  embed_dim: 32
+  output_len: 24
+  num_layer: 3
+  if_node: True
+  node_dim: 32
+  if_T_i_D: True
+  if_D_i_W: True
+  temp_dim_tid: 32
+  temp_dim_diw: 32
+  time_of_day_size: 288
+  day_of_week_size: 7
+  batch_size: 64
+
+
+train:
+  loss_func: mae
+  batch_size: 64
+  epochs: 100
+  lr_init: 0.002
+  weight_decay: 0.0001
+  lr_decay: False
+  lr_decay_rate: 0.3
+  lr_decay_step: "1,50,80"
+  early_stop: True
+  early_stop_patience: 15
+  grad_norm: False
+  max_grad_norm: 5
+  real_value: True
+  debug: true
+  output_dim: 1
+  mae_thresh: null
+  mape_thresh: 0.001
+  log_step: 200
+  plot: False

config/STID/SolarEnergy.yaml

@@ -0,0 +1,67 @@
+basic:
+  dataset: "SolarEnergy"
+  mode: "train"
+  device: "cuda:0"
+  model: "STID"
+  seed: 2023
+
+data:
+  num_nodes: 137
+  lag: 24
+  horizon: 24
+  val_ratio: 0.2
+  test_ratio: 0.2
+  tod: False
+  normalizer: std
+  column_wise: False
+  default_graph: True
+  add_time_in_day: True
+  add_day_in_week: True
+  steps_per_day: 48
+  days_per_week: 7
+  input_dim: 1
+  output_dim: 1
+  batch_size: 64
+
+model:
+  input_dim: 3
+  output_dim: 1
+  history: 24
+  horizon: 24
+  num_nodes: 137
+  input_len: 24
+  embed_dim: 32
+  output_len: 24
+  num_layer: 3
+  if_node: True
+  node_dim: 32
+  if_T_i_D: True
+  if_D_i_W: True
+  temp_dim_tid: 32
+  temp_dim_diw: 32
+  time_of_day_size: 288
+  day_of_week_size: 7
+  batch_size: 64
+
+
+train:
+  loss_func: mae
+  seed: 1
+  batch_size: 64
+  epochs: 100
+  lr_init: 0.002
+  weight_decay: 0.0001
+  lr_decay: False
+  lr_decay_rate: 0.3
+  lr_decay_step: "1,50,80"
+  early_stop: True
+  early_stop_patience: 15
+  grad_norm: False
+  max_grad_norm: 5
+  real_value: True
+  debug: true
+  output_dim: 1
+  mae_thresh: null
+  mape_thresh: 0.001
+  log_step: 200
+  plot: False

requirements.txt

@@ -12,4 +12,5 @@ notebook
 torchcde
 einops
 transformers
-py7zr
+py7zr
+requests