Optuna-Integration
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.
Installation
Optuna-Integration is available via pip and on conda.
# PyPI
$ pip install optuna-integration
# Anaconda Cloud
$ conda install -c conda-forge optuna-integration
Integration Modules
Here is the table of optuna-integration modules:
Communication
- GitHub Discussions for questions.
- GitHub Issues for bug reports and feature requests.
Contribution
Any contributions to Optuna-Integration are more than welcome!
For general guidelines how to contribute to the project, take a look at CONTRIBUTING.md.
Reference
If you use Optuna in one of your research projects, please cite our KDD paper "Optuna: A Next-generation Hyperparameter Optimization Framework":
BibTeX
@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}
}
Release files for optuna-integration 5.0.0
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
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| optuna_integration-5.0.0.tar.gz | 79.7 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| optuna_integration-5.0.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 167.8 kB
Release files / optuna_integration-5.0.0.tar.gz
| Download URL | optuna_integration-5.0.0.tar.gz |
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| Size | 79.7 kB |
| Tags | Source |
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| Size | 88.2 kB |
| Tags | Python 3 |
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