问题描述
我不知道如何使XGBoost分类器正常工作.我正在Jupyter笔记本上运行以下代码，并且始终生成此消息内核似乎已死亡.它将自动重新启动."
I don't know how to make the XGBoost classifier work. I am running the code below on Jupyter notebook, and it always generates this message "The kernel appears to have died. It will restart automatically."
from xgboost import XGBClassifier
model = XGBClassifier()
model.fit(X, y)
导入XGBClassifier没问题，但是在将其拟合到我的数据时会崩溃. X是由33个全数字数据帧组成的502，y是每行0或1个标签的集合.有谁知道这里可能是什么问题?我通过pip3安装以及通过Conda安装下载了XGBoost的最新版本.
There is no problem with importing the XGBClassifier, but it crashes upon fitting it to my data. X is a 502 by 33 all-numeric dataframe, y is the set of 0 or 1 labels for each row.Does anyone know what could be the problem here? I downloaded the newest version of XGBoost through pip3 install, and also through Conda install.
谢谢！
推荐答案
我遇到了类似的问题.我通过安装较旧的0.80版本解决了该问题.
I was having similar problem. I solved it by installing an older version 0.80.
pip install xgboost==0.80
这篇关于Jupyter Notebook中的XGBoost崩溃内核的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持！