Optuna-Integration
Optuna-Integration is an integration module 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.
Integrations
Optuna-Integration API reference is here.
- AllenNLP (example)
- Catalyst (example)
- Chainer (example)
- ChainerMN (example)
- Keras (example)
- MXNet (example)
- skorch (example)
- tf.keras (example)
Installation
Optuna-Integration is available at the Python Package Index and on Anaconda Cloud.
# PyPI
$ pip install optuna-integration
# Anaconda Cloud
$ conda install -c conda-forge optuna-integration
Optuna-Integration supports from Python 3.7 to Python 3.10.
Also, we also provide Optuna docker images on DockerHub.
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
Takuya Akiba, Shotaro Sano, Toshihiko Yanase, Takeru Ohta, and Masanori Koyama. 2019. Optuna: A Next-generation Hyperparameter Optimization Framework. In KDD (arXiv).
Release files for optuna-integration 3.3.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| optuna-integration-3.3.0.tar.gz | 25.4 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| optuna_integration-3.3.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 50.6 kB
Release files / optuna-integration-3.3.0.tar.gz
| Download URL | optuna-integration-3.3.0.tar.gz |
|---|---|
| Size | 25.4 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
da6100dda2ef6a27f81b3552b03d1f9465a3580f0e767b203fc134f438a46fcf
|
|
BLAKE2b-256 checksum How to use checksums |
655cc722a5eb971744f82ac0ab4540781403640520d6c53c54f023725e83f5b7
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/4.0.2 CPython/3.11.4
|
Release files / optuna_integration-3.3.0-py3-none-any.whl
| Download URL | optuna_integration-3.3.0-py3-none-any.whl |
|---|---|
| Size | 25.2 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
a7a72f716694ea723155f70ca5f7817334ae3216368ad16355708f7ad15132cf
|
|
BLAKE2b-256 checksum How to use checksums |
1017cf2c0751c65981236db95010ef5482c86e364d08dc41538c2ef73664f013
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/4.0.2 CPython/3.11.4
|
