Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Mismatch between XGBoost and converted onnx, with respect to "colsample_bytree" #667

Open
chunhaoIcici opened this issue Nov 26, 2023 · 0 comments

Comments

@chunhaoIcici
Copy link

onnxmltools version: 1.11.2

Dear onnxmltools developers,

I met an issue when converting an Booster from XGBoost to onnx. If I train the model by setting "colsample_bytree" to be 1, the prediction difference between XGBoost and onnx can be within 0.1%. However, when I set this hyper-parameter to be other values like 0.8, the difference can be up to 10%. I'm not sure whether such kind of issue has been found or addressed. If you need me to further clarify the issue, I can provide a demo to reproduce my bug.

Best regards,
Chunhao

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

1 participant