Python XGBoost，XGBClassifier:未知目标函数错误

我试图训练一个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安装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

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猜测您一定使用了GridSearch技术来找出最佳超参数，甚至明确指定它，将dictionary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)

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你的意思是

clf=xgb.XGBClassifier（**param_dict）