使用其他模型预测结果没报错但使用xgboost却报错了Invalid missing value

Question

XGBoostError: [01:46:49] c:\users\administrator\workspace\xgboost-win64_release_1.4.0\src\c_api\c_api_utils.h:161: Invalid missing value: null
我的测试集已经进行了空值填充，使用逻辑回归和GradientBoostingRegressor时都能正常运行，使用xgboost却有以上错误，是怎么回事呀？求解答！

xlf = xgb.XGBRegressor(max_depth=10, 
                        learning_rate=0.1, 
                        n_estimators=10, 
                        silent=True, 
                        objective='reg:linear', 
                        nthread=-1, 
                        gamma=0,
                        min_child_weight=1, 
                        max_delta_step=0, 
                        subsample=0.85, 
                        colsample_bytree=0.7, 
                        colsample_bylevel=1, 
                        reg_alpha=0, 
                        reg_lambda=1, 
                        scale_pos_weight=1, 
                        seed=1440, 
                        missing=None)
prob3=xlf.predict(X_test2)

Answer 1

xgboost最后一个参数missing删了就行