加入特征工程

model/xgboost.py

@@ -90,7 +90,7 @@ def automodelfit(clf,param_grid,dftrain,features,resp, kfold=10,scoring='roc_auc
     :return:
     '''
     kflod=StratifiedKFold(n_splits=kfold,shuffle=True,random_state=7)
-    grid_search=GridSearchCV(clf,param_grid,scoring=scoring,n_jobs=-1,cv=kflod,verbose=2,iid=True,refit=True)
+    grid_search=GridSearchCV(clf,param_grid,scoring=scoring,n_jobs=2,cv=kflod,verbose=3,iid=True,refit=True)
     #== 模型训练
     grid_search.fit(dftrain[features].values,dftrain[resp].values)
     #== 获取最优参数