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ronikobrosly / causal-curve

A python package with tools to perform causal inference using observational data when the treatment of interest is continuous.
MIT License
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Dependency issues with XGBoost in Anaconda environment #15

Closed alexjonesphd closed 4 years ago

alexjonesphd commented 4 years ago

Having some trouble working with the module using Anaconda. With a clean environment (Python 3.7 - 3.8) on Mac OS X Mojave, install via pip works well, but import errors are thrown, I think due to XGBoost dependencies. I get the following error message:

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/alexjones/anaconda3/envs/review/lib/python3.7/site-packages/xgboost/lib/libxgboost.dylib, 6): Library not loaded: /usr/local/opt/libomp/lib/libomp.dylib\n Referenced from: /Users/alexjones/anaconda3/envs/review/lib/python3.7/site-packages/xgboost/lib/libxgboost.dylib\n Reason: image not found']

Did a little searching and it looks like XGBoost has some issues on Mac OS that may be negated by a homebrew install (https://github.com/dmlc/xgboost/issues/4477) but a workaround might be required for those not using it.

ronikobrosly commented 4 years ago

Just pushed a new version (0.3.4) that doesn't use XGBoost. So I think this should be solved.