Comments (12)
sklearn :1.3.0
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Hi, thank you for raising the issue. Could you please provide a reproducible example that I can run on my machine?
from xgboost.
I have provided the training function, but the data is too large to upload successfully.
from xgboost.
Could you please provide the code in a more complete form so that I can run it with synthesized data?
from xgboost.
In addition, could you please share what you mean by crash? Is it running out of memory or is it running into segfault?
from xgboost.
Uploading xgb.zip…
The crash was caused by the server automatically restarting
from xgboost.
Feel free to close the issue if this is not related to XGBoost itself.
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这个
I have tested that there is no problem with training XGBoost 2.0.3 in the py3.10 environment of the Windows 2019 operating system, while in the py3.11 environment of the debian12 operating system of Linux, as long as the training system is trained, it will immediately restart (the data cleaning part is normal, and once the training logic is entered, the system restart will be triggered). And the operating system environment is very clean. It's not a CPU temperature issue either.
from xgboost.
By restart, do you mean the login session restart, or the whole OS got restarted?
from xgboost.
Restart the entire operating system
from xgboost.
Then that's beyond me. The OS has bugs, likely in the kernel, you may upgrade your OS, I don't think this is related to XGBoost.
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Feel free to reopen it if you need further information.
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