问题描述
我不知道如何使 XGBoost
分类器工作.我在 Jupyter notebook 上运行下面的代码,它总是生成这条消息内核似乎已经死了.它将自动重启."
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
没有问题,但是在将其拟合到我的数据时会崩溃.X
是 502
由 33 个全数字数据帧,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
install 和 Conda
install 下载了最新版本的 XGBoost
.
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.我通过安装旧版本 0.80 解决了它.
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 内核崩溃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跟版网!