refactor(config): 统一配置文件命名并调整模型参数

更新多个模型的配置文件命名格式，统一使用大驼峰格式
调整SolarEnergy和BJTaxi数据集的输入维度和批量大小
删除旧命名格式的配置文件并添加新的配置文件
修改训练脚本中的模型和数据集列表用于调试

config/HI/SolarEnergy.yaml

@@ -6,11 +6,11 @@ basic:
   seed: 2023
 
 data:
-  batch_size: 512
+  batch_size: 64
   column_wise: false
   days_per_week: 7
   horizon: 24
-  input_dim: 6
+  input_dim: 1
   lag: 24
   normalizer: std
   num_nodes: 137
@@ -25,7 +25,7 @@ model:
 
 
 train:
-  batch_size: 512
+  batch_size: 64
   debug: false
   early_stop: true
   early_stop_patience: 15

config/PatchTST/SolarEnergy.yaml

@@ -10,7 +10,7 @@ data:
   column_wise: false
   days_per_week: 7
   horizon: 24
-  input_dim: 6
+  input_dim: 1
   lag: 24
   normalizer: std
   num_nodes: 137

config/REPST/BJTaxi-InFlow.yaml

@@ -1,6 +1,6 @@
 basic:
   dataset: BJTaxi-InFlow
-  device: cuda:1
+  device: cuda:0
   mode: train
   model: REPST
   seed: 2023
@@ -27,7 +27,6 @@ model:
   input_dim: 1
   n_heads: 1
   num_nodes: 1024
-  output_dim: 1
   patch_len: 6
   pred_len: 24
   seq_len: 24
@@ -41,7 +40,7 @@ train:
   early_stop_patience: 15
   epochs: 100
   grad_norm: false
-  log_step: 1000
+  log_step: 100
   loss_func: mae
   lr_decay: true
   lr_decay_rate: 0.3

config/REPST/BJTaxi-Inflow.yaml

@@ -1,55 +0,0 @@
-basic:
-  dataset: BJTaxi-InFlow
-  device: cuda:0
-  mode: train
-  model: REPST
-  seed: 2023
-
-data:
-  batch_size: 16
-  column_wise: false
-  days_per_week: 7
-  horizon: 24
-  input_dim: 1
-  lag: 24
-  normalizer: std
-  num_nodes: 1024
-  steps_per_day: 48
-  test_ratio: 0.2
-  val_ratio: 0.2
-
-model:
-  d_ff: 128
-  d_model: 64
-  dropout: 0.2
-  gpt_layers: 9
-  gpt_path: ./GPT-2
-  input_dim: 1
-  n_heads: 1
-  num_nodes: 1024
-  patch_len: 6
-  pred_len: 24
-  seq_len: 24
-  stride: 7
-  word_num: 1000
-
-train:
-  batch_size: 16
-  debug: false
-  early_stop: true
-  early_stop_patience: 15
-  epochs: 100
-  grad_norm: false
-  log_step: 100
-  loss_func: mae
-  lr_decay: true
-  lr_decay_rate: 0.3
-  lr_decay_step: 5,20,40,70
-  lr_init: 0.003
-  mae_thresh: None
-  mape_thresh: 0.001
-  max_grad_norm: 5
-  output_dim: 1
-  plot: false
-  real_value: true
-  weight_decay: 0

train.py

@@ -89,10 +89,10 @@ def main(model, data, debug=False):
 
 if __name__ == "__main__":
     # 调试用
-    # model_list = ["iTransformer", "PatchTST", "HI"]
+    model_list = ["iTransformer", "PatchTST", "HI"]
     # model_list = ["ASTRA_v2", "GWN", "REPST", "STAEFormer", "MTGNN"]
-    model_list = ["iTransformer"]
-    dataset_list = ["AirQuality", "SolarEnergy", "PEMS-BAY", "METR-LA", "BJTaxi-InFlow", "BJTaxi-OutFlow", "NYCBike-InFlow", "NYCBike-OutFlow"]
+    # model_list = ["iTransformer"]
+    # dataset_list = ["AirQuality", "SolarEnergy", "PEMS-BAY", "METR-LA", "BJTaxi-InFlow", "BJTaxi-OutFlow", "NYCBike-InFlow", "NYCBike-OutFlow"]
     # dataset_list = ["AirQuality"]
-    # dataset_list = ["AirQuality", "SolarEnergy", "METR-LA", "NYCBike-InFlow", "NYCBike-OutFlow"]
+    dataset_list = ["AirQuality", "SolarEnergy", "METR-LA", "NYCBike-InFlow", "NYCBike-OutFlow"]
     main(model_list, dataset_list, debug = True)