XGBoost，XGBClassifier :未知目标函数错误
XGBoost，XGBClassifier :未知目标函数错误
提问于 2020-06-13 10:39:19
我正在尝试训练一个XGBClassifier，但是我得到了这个错误。我使用的是xgboost版本1.1.0。我使用pip install xgboost来安装xgboost，并对其进行了升级。
param_dict = {'n_estimators':i, 'max_depth':j, 'objective':'binary:logistic'}
clf = xgb.XGBClassifier(param_dict)
clf.fit(X_tr_1, y_train)
XGBoostError: [08:00:25] C:\Users\Administrator\workspace\xgboost-win64_release_1.1.0\src\objective\objective.cc:26: Unknown objective function: `{'objective': 'binary:logistic', 'eta': 0.02, 'max_depth': 4}`
Objective candidate: survival:aft
Objective candidate: binary:hinge
Objective candidate: multi:softprob
Objective candidate: multi:softmax
Objective candidate: rank:ndcg
Objective candidate: rank:map
Objective candidate: rank:pairwise
Objective candidate: reg:squaredlogerror
Objective candidate: reg:logistic
Objective candidate: binary:logistic
Objective candidate: reg:gamma
Objective candidate: reg:tweedie
Objective candidate: count:poisson
Objective candidate: survival:cox
Objective candidate: binary:logitraw
Objective candidate: reg:linear
Objective candidate: reg:squarederror回答 1
Stack Overflow用户
发布于 2020-06-13 10:53:54
假设您一定使用过GridSearch技术来找出最好的超参数，甚至显式地指定它，那么将字典对象param_dict作为参数传递给XGBoost分类器方法的正确方法是-
clf = xgb.XGBClassifier(**param_dict)页面原文内容由Stack Overflow提供。腾讯云小微IT领域专用引擎提供翻译支持
原文链接：
https://stackoverflow.com/questions/62354903
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