Update main.py to change project name and simplify label_names; adjust hidden_layers in Qmlp model

Qfunctions/loaData.py

@@ -83,9 +83,9 @@ def load_xlsx(fileName, labelName, max_row_length = 1000, fill_rule = None):
 
     # 提取偶数列
     features = df.iloc[0:, 1::2]
-    # 复制 features DataFrame
+    # ## 复制 features DataFrame
     # features_copy = features.copy()
-    # 使用 pd.concat 来追加副本到原始 DataFrame
+    # ## 使用 pd.concat 来追加副本到原始 DataFrame
     # features = pd.concat([features, features_copy], ignore_index=True, axis=1)
 
     # 计算变化率

main.py

@@ -5,12 +5,10 @@ from Qfunctions.saveToxlsx import save_to_xlsx as save_to_xlsx
 
 def main():
   # 输入元数据文件夹名称
-  projet_name = '20260109WZSX'                                                                
+  projet_name = '20260318Letters'                                                                
   # 请在[]内输入每一个分类的名称
-  label_names = [ 
-                  'Crocodile grain', 'Litchi grain','Pin grain', 
-                  'Mohair tweed', 'Polar fleece', 'Berber fleece'
-                ]
+  # label_names 是一个列表里面按顺序包含了小写的‘a'到‘z’
+  label_names = ['a','b']
   print(label_names)
   data = load_data(projet_name, label_names, isDir=False, fileClass='xlsx')
   X_train, X_test, y_train, y_test, encoder = divSet(
@@ -19,7 +17,7 @@ def main():
   
   model = Qmlp(
     X_train=X_train, X_test=X_test, y_train=y_train, y_test= y_test,
-    hidden_layers = [256, 256, 256],
+    hidden_layers = [64],
     dropout_rate=0      
     )