Comments (3)
The error says that you have 32bit python running on your machine rather than a 64bit. Try reinstalling the correct architecture and see if that solves the problem?
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I have installed the 64bit machine, I have checked it out.
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The error message indicates that XGBoost is unable to load the XGBoost library (xgboost.dll)
To troubleshoot the issue, you can try these steps once to see if can resolve the error
- Reinstalling the XGBoost library using pip: pip install xgboost
to check the version of xgboost installed in your system try this command in cmd once
import xgboost as xgb
print(xgb.version)
pip show xgboost
based on showed version try to upgrade or degrade as per your project requiremnt
pip install --upgrade xgboost
-
Verifying that you have the correct version of the XGBoost library installed for your Python environment.
-
Checking the system PATH environment variable to ensure that it includes the folder containing the required DLL files.
4)Verifying that your Python environment and dependencies are properly configured for 64-bit operation.
If these won't workout then have a look at this...
OpenMP Runtime Not Installed: Make sure that the OpenMP runtime is installed on your system. For Windows users, you can try installing the Microsoft Visual C++ Redistributable for Visual Studio, which includes the necessary OpenMP runtime components.
DLL Files Not Found: Although you mentioned that vcomp140.dll and libgomp-1.dll are in the System32 folder, XGBoost may not be able to locate them. Try adding the folder containing these DLL files to your system's PATH environment variable.
32-bit Python Running on a 64-bit OS: Ensure that you are running a 64-bit version of Python. If you are running a 32-bit version of Python on a 64-bit operating system, you may encounter compatibility issues with the XGBoost library.
Memory Resources Error: The error message [WinError 8] Not enough memory resources are available to process this command suggests that there may be insufficient memory available on your system to load the XGBoost library. Try closing other memory-intensive applications or processes and then retrying.
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