Could a Virtual Machine be an option for you? Good luck
On Tue, 6 Apr 2021, 7:00 pm C W, <tmrs...@gmail.com> wrote: > Thanks David. Those discussion boards are indeed very helpful. > > Thanks for providing the lead. > > Best, > > Mike > > On Mon, Apr 5, 2021 at 12:06 PM David Nicholson <nichol...@gmail.com> > wrote: > >> You might find more people that can help with other libraries such as >> XGBoost and conda on stack overflow, a list dedicated to those tools, or >> their github repositories. >> https://discuss.xgboost.ai/ >> https://groups.google.com/a/continuum.io/g/conda >> >> David Nicholson, Ph.D. >> https://nicholdav.info/ >> https://github.com/NickleDave >> Prinz lab <http://www.biology.emory.edu/research/Prinz/>, Emory >> University, Atlanta, GA, USA >> >> >> On Mon, Apr 5, 2021 at 11:28 AM C W <tmrs...@gmail.com> wrote: >> >>> Update: >>> >>> It seems I've already installed XGBoost before. But, I get the following >>> error: >>> >>> >>> import xgboost >>> Traceback (most recent call last): >>> File "<stdin>", line 1, in <module> >>> File >>> "/Users/mike/opt/miniconda3/lib/python3.8/site-packages/xgboost/__init__.py", >>> line 9, in <module> >>> from .core import DMatrix, DeviceQuantileDMatrix, Booster >>> File >>> "/Users/mike/opt/miniconda3/lib/python3.8/site-packages/xgboost/core.py", >>> line 174, in <module> >>> _LIB = _load_lib() >>> File >>> "/Users/mike/opt/miniconda3/lib/python3.8/site-packages/xgboost/core.py", >>> line 157, in _load_lib >>> raise XGBoostError( >>> xgboost.core.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(/Users/mike/opt/miniconda3/lib/python3.8/site-packages/xgboost/lib/libxgboost.dylib, >>> 6): Library not loaded: /usr/local/opt/libomp/lib/libomp.dylib\n >>> Referenced from: >>> /Users/mike/opt/miniconda3/lib/python3.8/site-packages/xgboost/lib/libxgboost.dylib\n >>> Reason: image not found'] >>> >>> It seems OpenMP runtime the one I am missing. I can install by running >>> > brew install libomp >>> >>> But, I don't have brew on this computer. Any work around? >>> >>> Thanks! >>> >>> On Mon, Apr 5, 2021 at 10:54 AM C W <tmrs...@gmail.com> wrote: >>> >>>> Hello again, >>>> >>>> I have 3 follow-up questions. >>>> >>>> 1) Upon searching, Anaconda website ( >>>> https://anaconda.org/anaconda/py-xgboost) says that you can install >>>> with, >>>> > conda install -c anaconda py-xgboost >>>> I have miniconda, not anaconda, I guess I just replace it anaconda with >>>> minconda? >>>> >>>> 2) Using pip3 command, >>>> > pip3 install xgboost >>>> I don't have pip. >>>> >>>> 3) From XGBoost website, I now see that you can build XGBoost from >>>> source (https://xgboost.readthedocs.io/en/latest/build.html) >>>> >>>> Question: will all the 3 methods install XGBoost in the same folder? >>>> >>>> Thanks a lot! >>>> >>>> On Mon, Apr 5, 2021 at 10:35 AM C W <tmrs...@gmail.com> wrote: >>>> >>>>> Hello all, >>>>> >>>>> I can't install pip on this computer. It has conda installed (probably >>>>> not helpful). Is there a work around to install XGBoost and packages? >>>>> >>>>> I remember reading on stackoverflow, there were some simple commands >>>>> to do it. I actually used it to install packages without pip. >>>>> >>>>> I can't find the post anymore, could anyone help? >>>>> >>>>> Thanks so much! >>>>> >>>>> Mike >>>>> >>>> _______________________________________________ >>> scikit-learn mailing list >>> scikit-learn@python.org >>> https://mail.python.org/mailman/listinfo/scikit-learn >>> >> _______________________________________________ >> scikit-learn mailing list >> scikit-learn@python.org >> https://mail.python.org/mailman/listinfo/scikit-learn >> > _______________________________________________ > scikit-learn mailing list > scikit-learn@python.org > https://mail.python.org/mailman/listinfo/scikit-learn >
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