Merge remote-tracking branch 'origin/master'

train_corrector.py

@@ -14,7 +14,7 @@ feature_columns = [
     "T_air", "T_initial", "T_m", "a", "b", "c"
 ]
 
-# 定义定时任务的训练函数
+# 定义定时任务的训练函数1
 def train_and_save_model():
     print("🔄 定时任务开始：重新训练模型...")
 

模型调用.py

@@ -9,7 +9,7 @@ feature_columns = ["w", "rho_coal", "rho_ice", "C_coal", "C_ice", "L",
                    "k_coal", "k_ice", "h", "T_air", "T_initial", "T_m",
                    "a", "b", "c"]
 # 加载训练过的样本信息（用于判断是否相同物料）
-csv_path = 'C:\\Users\\Administrator\\Desktop\\defrost\\feedback_data.csv'
+csv_path = '\\home\\jingang\\app\\server\\defrost\\feedback_data.csv'
 df_train = pd.read_csv(csv_path, parse_dates=["t_formula", "t_real"], encoding='utf-8')
 df_train["material_name"] = df_train["material_name"].astype(str)
 df_train["manufactured_goods"] = df_train["manufactured_goods"].astype(str)