📜  xgbboostclassifier 模型 - 任何代码示例

📅  最后修改于: 2022-03-11 14:59:15.127000             🧑  作者: Mango

代码示例2
params = {"objective":"reg:linear",'colsample_bytree': 0.3,'learning_rate': 0.1,
                'max_depth': 5, 'alpha': 10}

cv_results = xgb.cv(dtrain=data_dmatrix, params=params, nfold=3,
                    num_boost_round=50,early_stopping_rounds=10,metrics="rmse", as_pandas=True, seed=123)