调用
xgb.cv(xgb_param, xgtrain, num_boost_round=alg.get_params()['n_estimators'], nfold=cv_folds,
metrics='auc', early_stopping_rounds=early_stopping_rounds)，
正负样本其中一个较少，nfold设置折数多，导致错误发生
135: Check failed: !auc_error AUC: the dataset only contains pos or neg samples
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转载自blog.csdn.net/qq_34599526/article/details/81784059
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