我在移动XGBoost的Python软件包目录时遇到了这个问题。
Traceback (most recent call last): File "setup.py", line 19, in LIB_PATH = libpath'find_lib_path' File "xgboost/libpath.py", line 46, in find_lib_path 'List of candidates:\n' + ('\n'.join(dll_path))) builtin.XGBoostLibraryNotFound: Cannot find XGBoost Library in the candidate path, did you install compilers and run build.sh in root path?
有人可以解释一下如何修复它吗？ 提前致谢。
git clone --recursive https://github.com/dmlc/xgboost.git
cd xgboost
./build.sh
cd python-package
python setup.py install
我更喜欢在虚拟环境中进行。请注意，在克隆存储库时，选项--recursive是必需的，因为它还将克隆来自不同存储库的文件夹，例如dmlc-core，这对于构建xgboost是必要的。
只需运行conda install -c conda-forge xgboost即可。
C:\Users\Matt\xgboost\python-package>python setup.py install
Traceback (most recent call last):
File "setup.py", line 19, in <module>
LIB_PATH = [os.path.relpath(libfile, CURRENT_DIR) for libfile in libpath['find_lib_path']()]
File "xgboost/libpath.py", line 49, in find_lib_path
'List of candidates:\n' + ('\n'.join(dll_path)))
XGBoostLibraryNotFound: Cannot find XGBoost Library in the candidate path, did you install compilers and run build.sh in root path?
List of candidates:
C:\Users\Matt\xgboost\python-package\xgboost\xgboost.dll
C:\Users\Matt\xgboost\python-package\xgboost\../../lib/xgboost.dll
C:\Users\Matt\xgboost\python-package\xgboost\./lib/xgboost.dll
C:\Users\Matt\AppData\Local\Programs\Python\Python35\xgboost\xgboost.dll
C:\Users\Matt\xgboost\python-package\xgboost\../../windows/x64/Release/xgboost.dll
C:\Users\Matt\xgboost\python-package\xgboost\./windows/x64/Release/xgboost.dll
.dll文件。看看能否找到类似于xgboost.dll的文件，它可能被称为libxgboost.dll。如果可以，请转到步骤2。如果找不到，可以在此处下载。C:\Users\User\AppData\Roaming\Python\xgboost中，而应该是C:\Users\User\AppData\Roaming\Python\Python37\site-packages\xgboost，然后就像魔术般地开始工作了！ - Hosseincmake即可轻松解决。 - lv10brew install gcc-5
brew install cmake
pip install xgboost
cmake .. -DUSE_CUDA=ON -DCUDA_TOOLKIT_ROOT_DIR=/usr/local/cuda-${CUDA_VER}
cd /tmp/xgboost/python-package && python3 setup.py install
2) 在CMake中添加'-DR_LIB=ON'开关会破坏后续的Python库安装尝试:
cmake .. -DUSE_CUDA=ON -DCUDA_TOOLKIT_ROOT_DIR=/usr/local/cuda-${CUDA_VER} -DR_LIB=ON
cd /tmp/xgboost/python-package && python3 setup.py install
> "XGBoostLibraryNotFound: Cannot find XGBoost Library in the candidate path, did you install compilers and run build.sh in root
> path?"
我也遇到了同样的问题。我从(https://picnet.com.au/blog/xgboost-windows-x64-binaries-for-download/)下载了文件 (xgboost.dll)，并将其放入已有的 xgboost 文件夹中（C:\Users\Naganandini\AppData\Roaming\Python\Python37\site-packages\xgboost）。现在它完美地工作了 :)
在 C:\Users\ 目录下搜索 xgboost.dll 文件。 如果您已经安装了 xgboost，则应该能够找到 xgboost.dll 文件的副本。
找到 xgboost.dll 文件后，将其复制到错误信息中提到的路径之一，例如 C:\Users\\AppData\Roaming\Python\Python37\site-packages\xgboost\。现在导入应该可以工作了。
1.我从Anaconda命令提示符开始进行conda安装：
(base) C:\Users\abhi.b>conda install -c anaconda py-xgboost
Collecting package metadata (current_repodata.json): done
Solving environment: failed with initial frozen solve. Retrying with flexible solve.
Solving environment: failed with repodata from current_repodata.json, will retry with next repodata source.
Collecting package metadata (repodata.json): done
Solving environment: failed with initial frozen solve. Retrying with flexible solve.
Solving environment: \
Found conflicts! Looking for incompatible packages.
This can take several minutes. Press CTRL-C to abort.|
failed
UnsatisfiableError: The following specifications were found
to be incompatible with the existing python installation in your environment:
Specifications:
- py-xgboost -> python[version='>=2.7,<2.8.0a0|>=3.6,<3.7.0a0|>=3.7,<3.8.0a0|>=3.5,<3.6.0a0']
Your python: python=3.8
If python is on the left-most side of the chain, that's the version you've asked for.
When python appears to the right, that indicates that the thing on the left is somehow
not available for the python version you are constrained to. Note that conda will not
change your python version to a different minor version unless you explicitly specify
that.
决定不继续这条路，因为降级Python不是我的选择。
2.然后我遵循下面链接中的“最终有效尝试”: https://medium.com/analytics-vidhya/this-is-what-you-should-do-if-you-fail-to-install-the-latest-or-an-older-version-of-xgboost-on-7942a7641eee
然而，我遇到了其他用户面临的同样错误：
>>> import xgboost as xgb
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "C:\Users\abhi.b\Anaconda3\lib\site-packages\xgboost\__init__.py", line 11, in <module>
from .core import DMatrix, Booster
File "C:\Users\abhi.b\Anaconda3\lib\site-packages\xgboost\core.py", line 161, in <module>
_LIB = _load_lib()
File "C:\Users\abhi.b\Anaconda3\lib\site-packages\xgboost\core.py", line 123, in _load_lib
lib_paths = find_lib_path()
File "C:\Users\abhi.b\Anaconda3\lib\site-packages\xgboost\libpath.py", line 45, in find_lib_path
raise XGBoostLibraryNotFound(
xgboost.libpath.XGBoostLibraryNotFound: Cannot find XGBoost Library in the candidate path, did you install compilers and run build.sh in root path?
List of candidates:
C:\Users\abhi.b\Anaconda3\lib\site-packages\xgboost\xgboost.dll
C:\Users\abhi.b\Anaconda3\lib\site-packages\xgboost\../../lib/xgboost.dll
C:\Users\abhi.b\Anaconda3\lib\site-packages\xgboost\./lib/xgboost.dll
C:\Users\abhi.b\Anaconda3\xgboost\xgboost.dll
C:\Users\abhi.b\Anaconda3\lib\site-packages\xgboost\../../windows/x64/Release/xgboost.dll
C:\Users\abhi.b\Anaconda3\lib\site-packages\xgboost\./windows/x64/Release/xgboost.dll
>>> exit()
顺便提一下，上面发布的下载xgboost.dll的链接 - https://picnet.com.au/blog/xgboost-windows-x64-binaries-for-download/ 对我来说不太清楚，所以我决定不再跟进这个帖子。
3.最后，对我来说解决方案非常简单，打开ANACONDA提示符并输入
(base) C:\Users\abhi.b>pip install xgboost
这导致了
Collecting xgboost
Downloading xgboost-1.2.1-py3-none-win_amd64.whl (86.5 MB)
|████████████████████████████████| 86.5 MB 1.7 MB/s
Requirement already satisfied: scipy in c:\users\abhi.b\anaconda3\lib\site-packages (from xgboost) (1.5.0)
Requirement already satisfied: numpy in c:\users\abhi.b\anaconda3\lib\site-packages (from xgboost) (1.18.5)
Installing collected packages: xgboost
Successfully installed xgboost-1.2.1
然后进入Python提示符
(base) C:\Users\abhi.b>python
>>>import xgboost as xgb
或者你可以在IDE（如Spyder等）上输入相同的命令 就这样！！
我在使用anaconda提示符安装xgboost时遇到了相同的错误，因为xgboost的安装干扰了一些其他预安装库的版本。通过创建虚拟环境安装xgboost解决了这个问题。
在macOS和Linux上：
python3 -m pip install --user virtualenv #Install virtualenv module
python3 -m venv env #Create a virtual environment 'env'
source env/bin/activate #Activate virtual environment
pip install xgboost #Install xgboost
py -m pip install --user virtualenv #Install virtualenv module
py -m venv env #Create a virtual environment 'env'
.\env\Scripts\activate #Activate virtual environment
pip install xgboost #Install xgboost
请参考https://packaging.python.org/guides/installing-using-pip-and-virtual-environments获取有关虚拟环境的帮助。
./build.sh来安装 Python？谢谢！ - harkmug