本文介绍了Jupyter Notebook XGboost进口的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧!

问题描述

我有下面的问题(我在MAC上)

I have the problem below (I'm on a MAC)

我可以使用Terminal从python2.7或python3.6导入xgboost,但事实是我无法在Jupyter笔记本上导入它.

I can import xgboost from python2.7 or python3.6 with my Terminal but the thing is that I can not import it on my Jupyter notebook.

import xgboost as xgb

ModuleNotFoundError Traceback(最近一次通话) 在 ()----> 1将xgboost导入为xgb

ModuleNotFoundError Traceback (most recent call last) in ()----> 1 import xgboost as xgb

ModuleNotFoundError:没有名为"xgboost"的模块

ModuleNotFoundError: No module named 'xgboost'

尽管我写:

!pip3 install xgboost

它打印出:

已经满足的要求:/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/xgboost-0.6-py3.6.egg中的xgboost已满足要求:/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages中的numpy(来自xgboost)已满足要求:/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages(来自xgboost)中的scipy

Requirement already satisfied: xgboost in /Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/xgboost-0.6-py3.6.eggRequirement already satisfied: numpy in /Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages (from xgboost)Requirement already satisfied: scipy in /Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages (from xgboost)

帮助,我到处搜索:(

推荐答案

运行shell换码!pip3不能保证它会安装在您正在运行的内核中.试试:

Running a shell escape !pip3 doesn't guarantee that it will install in the kernel you are running. Try:

import sys
print(sys.base_prefix)

,看看这是否与您的两个终端python匹配.您应该能够运行<base_prefix>/bin/pip install <package>以确保它在正确的site-packages中.

and see if this matches either of your terminal pythons. You should be able to run <base_prefix>/bin/pip install <package> to ensure it is in the right site-packages.

您还可以通过最有可能在~/Library/Jupyter/kernels/<kernel>/kernel.json中查看kernel.json来查看内核正在运行哪个python.

You can also look at which python your kernel is running by looking in kernel.json most likely in ~/Library/Jupyter/kernels/<kernel>/kernel.json.

注意:您还可以通过以下方式以编程方式安装软件包:

Note: you can also programmatically install packages with:

import pip
pip.main(['install', '<package>'])

这将强制它位于您的内核的正确site-packages中.

which will force it to be in the right site-packages for your kernel.

这篇关于Jupyter Notebook XGboost进口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!

09-05 07:08