Optuna-Integration: The integration modules of Optuna

Optuna-Integration is a package of the integration modules of Optuna. This package allows us to use Optuna, an automatic Hyperparameter optimization software framework, integrated with many useful tools like PyTorch, sklearn, TensorFlow, etc.

Communication

• GitHub Discussions for questions.

• GitHub Issues for bug reports and feature requests.

Contribution

Any contributions to Optuna are welcome! When you send a pull request, please follow the contribution guide.

License

MIT License (see LICENSE).

Reference

Takuya Akiba, Shotaro Sano, Toshihiko Yanase, Takeru Ohta, and Masanori Koyama. 2019. Optuna: A Next-generation Hyperparameter Optimization Framework. In KDD (arXiv).

Contents:

• Installation
• API Reference for Optuna-Integration
  • AllenNLP
  • BoTorch
  • Catalyst
  • CatBoost
  • Chainer
  • Dask
  • fast.ai
  • Keras
  • LightGBM
  • MLflow
  • MXNet
  • pycma
  • PyTorch
  • scikit-optimize
  • SHAP
  • sklearn
  • skorch
  • TensorBoard
  • TensorFlow
  • Weights & Biases
  • XGBoost

Indices and tables

• Index

• Module Index

• Search Page