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

Support for accelerating NGBoost #2132

Open
Geethen opened this issue Oct 14, 2022 · 1 comment
Open

Support for accelerating NGBoost #2132

Geethen opened this issue Oct 14, 2022 · 1 comment

Comments

@Geethen
Copy link

Geethen commented Oct 14, 2022

I have come across speed-ups for XGBoost and LightGBM here and wondered if it similar sppedups could be achieved for NGBoost with LightGBM as a base learner. https://stanfordmlgroup.github.io/projects/ngboost/

@Alexsandruss
Copy link
Contributor

Alexsandruss commented Oct 14, 2022

Thank you for information, NGBoost looks interesting.
Currently, oneDAL does not have same patching functionality for LightGBM and XGBoost as for sklearn, but this direction is promising.
Theoretically, you can implement estimator inherited from LightGBM and implement custom predict and predict_proba methods using daa4py functions

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

No branches or pull requests

2 participants