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！