更新正确的AirQuality数据集

.vscode/launch.json

@@ -60,6 +60,14 @@
             "console": "integratedTerminal",
             "args": "--config ./config/REPST/BeijingAirQuality.yaml"
         },
+        {
+            "name": "AirQuality",
+            "type": "debugpy",
+            "request": "launch",
+            "program": "run.py",
+            "console": "integratedTerminal",
+            "args": "--config ./config/REPST/AirQuality.yaml"
+        },
         {
             "name": "AEPSA-PEMSBAY",
             "type": "debugpy",

config/REPST/AirQuality.yaml

@@ -0,0 +1,61 @@
+basic:
+  dataset: "AirQuality"
+  mode : "train"
+  device : "cuda:1"
+  model: "REPST"
+  seed: 2023
+
+data:
+  add_day_in_week: false
+  add_time_in_day: false
+  column_wise: false
+  days_per_week: 7
+  default_graph: true
+  horizon: 24
+  lag: 24
+  normalizer: std
+  num_nodes: 35
+  steps_per_day: 288
+  test_ratio: 0.2
+  tod: false
+  val_ratio: 0.2
+  sample: 1
+  input_dim: 6
+  batch_size: 16
+
+model:
+  pred_len: 24
+  seq_len: 24
+  patch_len: 6 
+  stride: 7
+  dropout: 0.2
+  gpt_layers: 9
+  d_ff: 128
+  gpt_path: ./GPT-2
+  d_model: 64
+  n_heads: 1
+  input_dim: 6
+  output_dim: 3
+  word_num: 1000
+
+train:
+  batch_size: 16
+  early_stop: true
+  early_stop_patience: 15
+  epochs: 100
+  grad_norm: false
+  loss_func: mae
+  lr_decay: true
+  lr_decay_rate: 0.3
+  lr_decay_step: "5,20,40,70"
+  lr_init: 0.003
+  max_grad_norm: 5
+  real_value: true
+  weight_decay: 0
+  debug: false
+  output_dim: 3
+  log_step: 1000
+  plot: false
+  mae_thresh: None
+  mape_thresh: 0.001
+

dataloader/data_selector.py

@@ -12,6 +12,11 @@ def load_st_dataset(config):
             data = np.memmap(data_path, dtype=np.float32, mode='r')
             L, N, C = 36000, 7, 3
             data = data.reshape(L, N, C)
+        case "AirQuality":
+            data_path = os.path.join("./data/AirQuality/data.dat")
+            data = np.memmap(data_path, dtype=np.float32, mode='r')
+            L, N, C = 8701,35,6
+            data = data.reshape(L, N, C)
         case "PEMS-BAY":
             data_path = os.path.join("./data/PEMS-BAY/pems-bay.h5")
             with h5py.File(data_path, 'r') as f:

model/REPST/repst.py

@@ -47,7 +47,7 @@ class repst(nn.Module):
         self.out_mlp = nn.Sequential(
             nn.Linear(self.d_llm, 128),
             nn.ReLU(),
-            nn.Linear(128, self.pred_len)
+            nn.Linear(128, self.pred_len * self.output_dim)
         )
 
         for i, (name, param) in enumerate(self.gpts.named_parameters()):
@@ -63,7 +63,7 @@ class repst(nn.Module):
             torch.nn.init.zeros_(module.bias) 
 
     def forward(self, x):
-        x = x[..., :self.output_dim]
+        x = x[..., :self.input_dim]
         x_enc = rearrange(x, 'b t n c -> b n c t')
         enc_out, n_vars = self.patch_embedding(x_enc)
         self.mapping_layer(self.word_embeddings.permute(1, 0)).permute(1, 0)
@@ -73,10 +73,11 @@ class repst(nn.Module):
         enc_out = self.reprogramming_layer(enc_out, source_embeddings, source_embeddings)
         enc_out = self.gpts(inputs_embeds=enc_out).last_hidden_state
         
-        dec_out = self.out_mlp(enc_out)
+        dec_out = self.out_mlp(enc_out) #[B, N, T*C]
-        outputs = dec_out.unsqueeze(dim=-1)      
+        
-        outputs = outputs.repeat(1, 1, 1, n_vars)
+        B, N, _ = dec_out.shape
-        outputs = outputs.permute(0,2,1,3)
+        outputs = dec_out.view(B, N, self.pred_len, self.output_dim)
+        outputs = outputs.permute(0, 2, 1, 3)  # B, T, N, C
 
         return outputs
 

utils/Download_data.py

@@ -99,7 +99,8 @@ def check_and_download_data():
         download_and_extract("http://code.zhang-heng.com/static/adj.7z", data_dir)
 
     baq_folder = os.path.join(data_dir,"BeijingAirQuality")
-    if not os.path.isdir(baq_folder):
+    baq_folder2 = os.path.join(data_dir,"AirQuality")
+    if not os.path.isdir(baq_folder) or not os.path.isdir(baq_folder2):
         download_and_extract("http://code.zhang-heng.com/static/BeijingAirQuality.7z", data_dir)
 
     _,missing_main = detect_data_integrity(data_dir, expected, check_adj=False)

utils/dataset.json

@@ -35,5 +35,6 @@
     "SolarEnergy": [
         "SolarEnergy.csv"
     ],
-    "BeijingAirQuality": ["data.dat", "desc.json"]
+    "BeijingAirQuality": ["data.dat", "desc.json"],
+    "AirQuality": ["data.dat"]
 }