Implement cross-validation examples for Optuna Terminator 🤖
g-votte opened this issue · 3 comments
Optuna Terminator is a new feature planned to be introduced in the upcoming minor release, Optuna v3.2.
In particular, it is expected to help mitigate excessive resource usage and hyperparameter overfitting in cross-validation scenarios.
This issue aims to create example code demonstrating the usage of Optuna Terminator with ML libraries that support cross-validation. For instance:
- scikit-learn
- LightGBM
- XGBoost
- CatBoost
Is there an official document for this feature? It would be great to refer to the docs for contributors working on this issue.
Docs will be available soon: optuna/optuna#4598
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