This package is an integration module of Optuna, an automatic Hyperparameter optimization software framework. The modules in this package provide users with extended functionalities for Optuna in combination with third-party libraries such as PyTorch, sklearn, and TensorFlow.

Optuna-Integration is available via pip and on conda.

# PyPI
$ pip install optuna-integration
# Anaconda Cloud
$ conda install -c conda-forge optuna-integration

$ pip install optuna-integration[botorch,lightgbm]

Here is the table of optuna-integration modules:

• GitHub Discussions for questions.
• GitHub Issues for bug reports and feature requests.

Any contributions to Optuna-Integration are more than welcome!

For general guidelines how to contribute to the project, take a look at CONTRIBUTING.md.

If you use Optuna in one of your research projects, please cite our KDD paper "Optuna: A Next-generation Hyperparameter Optimization Framework":

@inproceedings{akiba2019optuna,
  title={{O}ptuna: A Next-Generation Hyperparameter Optimization Framework},
  author={Akiba, Takuya and Sano, Shotaro and Yanase, Toshihiko and Ohta, Takeru and Koyama, Masanori},
  booktitle={The 25th ACM SIGKDD International Conference on Knowledge Discovery \& Data Mining},
  pages={2623--2631},
  year={2019}
}