调整缩放、多核运行、图标显示

src/core/modeling/modeling_batch.py

@@ -19,7 +19,7 @@ from sklearn.cross_decomposition import PLSRegression
 from sklearn.ensemble import GradientBoostingRegressor, AdaBoostRegressor, ExtraTreesRegressor
 from sklearn.tree import DecisionTreeRegressor
 from sklearn.neural_network import MLPRegressor
-
+from joblib import parallel_backend
 # 第三方模型导入
 # try:
 #     import lightgbm as lgb
@@ -648,8 +648,10 @@ class WaterQualityModelingBatch:
         )
 
         # 在训练集上训练模型
+        # with parallel_backend("threading", n_jobs=-1):
+        #     grid_search.fit(X_train, y_train)
         grid_search.fit(X_train, y_train)
-
+        
         # 获取最佳模型
         best_model = grid_search.best_estimator_