我正在尝试使用 python Jupiter Notebook 运行 xgboost，但出现此错误：AttributeError: module 'xgboost' has no attribute 'set_params'

问题描述

import xgboost as xgb
from xgboost.sklearn import XGBClassifier
from sklearn import metrics
from sklearn.model_selection import gridsearchcv

xgb_train = xgb.DMatrix(X_train,label=y_train)

xgb_model = XGBClassifier(objective='multi:softmax',n_estimators=100,learning_rate=0.3,max_depth=4,subsample=0.8,n_iter_no_change=2,verbosity=1)
xgb_param = xgb_model.get_xgb_params()
xgb_param['num_class'] = 7
cvresult = xgb.cv(xgb_param,xgb_train,num_boost_round=xgb_model.get_params()['n_estimators'],nfold=5,early_stopping_rounds=10,verbose_eval=True)
xgb.set_params(n_estimators=cvresult.shape[0])
predictions,accuracy,metrics_report = train_test_model(xgb_model,X_train,X_test,y_train,y_test)
print('accuracy: {}'.format(accuracy))
print(metrics_report)
plot_confusion_matrix(xgb_model,y_test,display_labels=labels,xticks_rotation='vertical',cmap="BuPu")

错误如下

AttributeError Traceback（最近一次调用最后一次） 在 10 xgb_param['num_class'] = 7 11 cvresult = xgb.cv(xgb_param,verbose_eval=True) ---> 12 xgb.set_params(n_estimators=cvresult.shape[0]) 13个预测，准确率，metrics_report = train_test_model(xgb_model,y_test) 14 打印（'准确度：{}'.format（准确度））

属性错误：模块“xgboost”没有属性“set_params”

解决方法

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