在我导入Xgboost之前,在Jupyter笔记本电脑上一切正常。导入后,立即出现以下问题。我有Python 3.8,并已通过终端pip3方法安装了它,下一步该怎么办?
---------------------------------------------------------------------------
XGBoostError Traceback (most recent call last)
<ipython-input-17-a81e4513ce38> in <module>
1 # Let's Learn about the stock market using XGBOOST
2
----> 3 import xgboost as xgb
/Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages/xgboost/__init__.py in <module>
9 import warnings
10
---> 11 from .core import DMatrix, DeviceQuantileDMatrix, Booster
12 from .training import train, cv
13 from . import rabit # noqa
/Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages/xgboost/core.py in <module>
173
174 # load the XGBoost library globally
--> 175 _LIB = _load_lib()
176
177
/Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages/xgboost/core.py in _load_lib()
156 if not lib_success:
157 libname = os.path.basename(lib_paths[0])
--> 158 raise XGBoostError(
159 'XGBoost Library ({}) could not be loaded.\n'.format(libname) +
160 'Likely causes:\n' +
XGBoostError: XGBoost Library (libxgboost.dylib) could not be loaded.
Likely causes:
* OpenMP runtime is not installed (vcomp140.dll or libgomp-1.dll for Windows,
libomp.dylib for Mac OSX, libgomp.so for Linux and other UNIX-like OSes).
Mac OSX users: Run `brew install libomp` to install OpenMP runtime.
* You are running 32-bit Python on a 64-bit OS
Error message(s): ['dlopen(/Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages/xgboost/lib/libxgboost.dylib, 6): Library not loaded: /usr/local/opt/libomp/lib/libomp.dylib\n Referenced from: /Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages/xgboost/lib/libxgboost.dylib\n Reason: image not found']
答案 0 :(得分:13)
我通过安装Mac OSX的libomp.dylib解决了该问题。答案一直在那里。
答案 1 :(得分:2)
答案 2 :(得分:2)
您必须先在您的 MAC 上安装 brew:https://brew.sh/(Brew 可能需要一些时间来安装)
然后在终端中运行以下命令:brew install libomp
答案 3 :(得分:1)
如果你使用anaconda,你可以使用:
conda install py-xgboost
答案 4 :(得分:0)
如果你有 Python 3.7 或更高版本,你可以按照下面的方法解决:
!brew install libomp
答案 5 :(得分:0)
如果您使用的是 anaconda,下面的命令对我有用
conda install -c conda-forge xgboost