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

Parameter tuning in final_estimator with automl ensemble #1270

Open
Arsa-Nik opened this issue Jan 24, 2024 · 1 comment
Open

Parameter tuning in final_estimator with automl ensemble #1270

Arsa-Nik opened this issue Jan 24, 2024 · 1 comment

Comments

@Arsa-Nik
Copy link

Hello,
When using CatBoostClassifier as the final estimator in FLAML's automl ensemble configuration, are the parameters of final_estimator - CatBoostClassifier() - automatically tuned, or do they default?

"ensemble": {'final_estimator': CatBoostClassifier(), 'passthrough': True}
@Programmer-RD-AI
Copy link

The parameters of the CatBoostClassifier are not automatically tuned.
Set passthrough to False to automatically tune the parameters.
Thank you

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

2 participants