| Name | optuna-integration JSON |
| Version |
3.6.0
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| home_page | |
| Summary | Integration libraries of Optuna. |
| upload_time | 2024-03-15 07:16:31 |
| maintainer | |
| docs_url | None |
| author | |
| requires_python | |
| license | MIT License Copyright (c) 2018 Preferred Networks, Inc. Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. |
| keywords |
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No requirements were recorded.
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No Travis.
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# Optuna-Integration
[](https://www.python.org)
[](https://github.com/optuna/optuna-integration)
[](https://codecov.io/gh/optuna/optuna-integration/branch/main)
<!-- [](https://pypi.python.org/pypi/optuna-integration) -->
<!-- [](https://anaconda.org/conda-forge/optuna-integration) -->
[](https://optuna-integration.readthedocs.io/en/stable/)
[**Docs**](https://optuna-integration.readthedocs.io/en/stable/)
*Optuna-Integration* is an integration module of [Optuna](https://github.com/optuna/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](https://optuna-integration.readthedocs.io/en/stable/reference/index.html).
* [AllenNLP](https://optuna-integration.readthedocs.io/en/stable/reference/index.html#allennlp) ([example](https://github.com/optuna/optuna-examples/tree/main/allennlp))
* [BoTorch](https://optuna-integration.readthedocs.io/en/stable/reference/index.html#botorch)
* [Catalyst](https://optuna-integration.readthedocs.io/en/stable/reference/index.html#catalyst) ([example](https://github.com/optuna/optuna-examples/blob/main/pytorch/catalyst_simple.py))
* [CatBoost](https://optuna-integration.readthedocs.io/en/stable/reference/index.html#catboost) ([example](https://github.com/optuna/optuna-examples/blob/main/catboost/catboost_pruning.py))
* [Chainer](https://optuna-integration.readthedocs.io/en/stable/reference/index.html#chainer) ([example](https://github.com/optuna/optuna-examples/tree/main/chainer/chainer_integration.py))
* [ChainerMN](https://optuna-integration.readthedocs.io/en/stable/reference/index.html#chainermn) ([example](https://github.com/optuna/optuna-examples/tree/main/chainer/chainermn_simple.py))
* [Dask](https://optuna-integration.readthedocs.io/en/stable/reference/index.html#dask) ([example](https://github.com/optuna/optuna-examples/tree/main/dask/dask_simple.py))
* [FastAI](https://optuna-integration.readthedocs.io/en/stable/reference/index.html#fast-ai) (
V1 ([example](https://github.com/optuna/optuna-examples/tree/main/fastai/fastaiv1_simple.py)),
V2 ([example](https://github.com/optuna/optuna-examples/tree/main/fastai/fastaiv2_simple.py)))
* [Keras](https://optuna-integration.readthedocs.io/en/stable/reference/index.html#keras) ([example](https://github.com/optuna/optuna-examples/tree/main/keras))
* [LightGBM](https://optuna-integration.readthedocs.io/en/stable/reference/index.html#lightgbm) ([example](https://github.com/optuna/optuna-examples/tree/main/lightgbm))
* [MLflow](https://optuna-integration.readthedocs.io/en/stable/reference/index.html#mlflow) ([example](https://github.com/optuna/optuna-examples/blob/main/mlflow/))
* [MXNet](https://optuna-integration.readthedocs.io/en/stable/reference/index.html#mxnet) ([example](https://github.com/optuna/optuna-examples/tree/main/mxnet))
* [PyTorch](https://optuna-integration.readthedocs.io/en/stable/reference/index.html#pytorch) ([example](https://github.com/optuna/optuna-examples/tree/main/pytorch))
* [pycma](https://optuna-integration.readthedocs.io/en/stable/reference/index.html#pycma)
* [scikit-optimize](https://optuna-integration.readthedocs.io/en/stable/reference/index.html#skopt)
* [SHAP](https://optuna-integration.readthedocs.io/en/stable/reference/index.html#shap)
* [sklearn](https://optuna-integration.readthedocs.io/en/stable/reference/index.html#sklearn) ([example](https://github.com/optuna/optuna-examples/tree/main/sklearn/sklearn_optuna_search_cv_simple.py))
* [skorch](https://optuna-integration.readthedocs.io/en/stable/reference/index.html#skorch) ([example](https://github.com/optuna/optuna-examples/tree/main/pytorch/skorch_simple.py))
* [TensorBoard](https://optuna-integration.readthedocs.io/en/stable/reference/index.html#tensorboard) ([example](https://github.com/optuna/optuna-examples/tree/main/tensorboard/tensorboard_simple.py))
* [tf.keras](https://optuna-integration.readthedocs.io/en/stable/reference/index.html#tensorflow) ([example](https://github.com/optuna/optuna-examples/tree/main/tfkeras/tfkeras_integration.py))
* [Weights & Biases](https://optuna-integration.readthedocs.io/en/stable/reference/index.html#wandb) ([example](https://github.com/optuna/optuna-examples/blob/main/wandb/wandb_integration.py))
* [XGBoost](https://optuna-integration.readthedocs.io/en/stable/reference/index.html#xgboost) ([example](https://github.com/optuna/optuna-examples/tree/main/xgboost/xgboost_integration.py))
## Installation
Optuna-Integration is available at [the Python Package Index](https://pypi.org/project/optuna-integration/) and
on [Anaconda Cloud](https://anaconda.org/conda-forge/optuna-integration).
```bash
# PyPI
$ pip install optuna-integration
```
```bash
# 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](https://hub.docker.com/r/optuna/optuna).
## Communication
* [GitHub Discussions] for questions.
* [GitHub Issues] for bug reports and feature requests.
[GitHub Discussions]: https://github.com/optuna/optuna-integration/discussions
[GitHub issues]: https://github.com/optuna/optuna-integration/issues
## 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](./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](https://arxiv.org/abs/1907.10902)).
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"description": "# Optuna-Integration\n\n[](https://www.python.org)\n[](https://github.com/optuna/optuna-integration)\n[](https://codecov.io/gh/optuna/optuna-integration/branch/main)\n<!-- [](https://pypi.python.org/pypi/optuna-integration) -->\n<!-- [](https://anaconda.org/conda-forge/optuna-integration) -->\n[](https://optuna-integration.readthedocs.io/en/stable/)\n\n[**Docs**](https://optuna-integration.readthedocs.io/en/stable/)\n\n*Optuna-Integration* is an integration module of [Optuna](https://github.com/optuna/optuna).\nThis package allows us to use Optuna, an automatic Hyperparameter optimization software framework,\nintegrated with many useful tools like PyTorch, sklearn, TensorFlow, etc.\n\n## Integrations\n\nOptuna-Integration API reference is [here](https://optuna-integration.readthedocs.io/en/stable/reference/index.html).\n\n* [AllenNLP](https://optuna-integration.readthedocs.io/en/stable/reference/index.html#allennlp) ([example](https://github.com/optuna/optuna-examples/tree/main/allennlp))\n* [BoTorch](https://optuna-integration.readthedocs.io/en/stable/reference/index.html#botorch)\n* [Catalyst](https://optuna-integration.readthedocs.io/en/stable/reference/index.html#catalyst) ([example](https://github.com/optuna/optuna-examples/blob/main/pytorch/catalyst_simple.py))\n* [CatBoost](https://optuna-integration.readthedocs.io/en/stable/reference/index.html#catboost) ([example](https://github.com/optuna/optuna-examples/blob/main/catboost/catboost_pruning.py))\n* [Chainer](https://optuna-integration.readthedocs.io/en/stable/reference/index.html#chainer) ([example](https://github.com/optuna/optuna-examples/tree/main/chainer/chainer_integration.py))\n* [ChainerMN](https://optuna-integration.readthedocs.io/en/stable/reference/index.html#chainermn) ([example](https://github.com/optuna/optuna-examples/tree/main/chainer/chainermn_simple.py))\n* [Dask](https://optuna-integration.readthedocs.io/en/stable/reference/index.html#dask) ([example](https://github.com/optuna/optuna-examples/tree/main/dask/dask_simple.py))\n* [FastAI](https://optuna-integration.readthedocs.io/en/stable/reference/index.html#fast-ai) (\n V1 ([example](https://github.com/optuna/optuna-examples/tree/main/fastai/fastaiv1_simple.py)),\n V2 ([example](https://github.com/optuna/optuna-examples/tree/main/fastai/fastaiv2_simple.py)))\n* [Keras](https://optuna-integration.readthedocs.io/en/stable/reference/index.html#keras) ([example](https://github.com/optuna/optuna-examples/tree/main/keras))\n* [LightGBM](https://optuna-integration.readthedocs.io/en/stable/reference/index.html#lightgbm) ([example](https://github.com/optuna/optuna-examples/tree/main/lightgbm))\n* [MLflow](https://optuna-integration.readthedocs.io/en/stable/reference/index.html#mlflow) ([example](https://github.com/optuna/optuna-examples/blob/main/mlflow/))\n* [MXNet](https://optuna-integration.readthedocs.io/en/stable/reference/index.html#mxnet) ([example](https://github.com/optuna/optuna-examples/tree/main/mxnet))\n* [PyTorch](https://optuna-integration.readthedocs.io/en/stable/reference/index.html#pytorch) ([example](https://github.com/optuna/optuna-examples/tree/main/pytorch))\n* [pycma](https://optuna-integration.readthedocs.io/en/stable/reference/index.html#pycma)\n* [scikit-optimize](https://optuna-integration.readthedocs.io/en/stable/reference/index.html#skopt)\n* [SHAP](https://optuna-integration.readthedocs.io/en/stable/reference/index.html#shap)\n* [sklearn](https://optuna-integration.readthedocs.io/en/stable/reference/index.html#sklearn) ([example](https://github.com/optuna/optuna-examples/tree/main/sklearn/sklearn_optuna_search_cv_simple.py))\n* [skorch](https://optuna-integration.readthedocs.io/en/stable/reference/index.html#skorch) ([example](https://github.com/optuna/optuna-examples/tree/main/pytorch/skorch_simple.py))\n* [TensorBoard](https://optuna-integration.readthedocs.io/en/stable/reference/index.html#tensorboard) ([example](https://github.com/optuna/optuna-examples/tree/main/tensorboard/tensorboard_simple.py))\n* [tf.keras](https://optuna-integration.readthedocs.io/en/stable/reference/index.html#tensorflow) ([example](https://github.com/optuna/optuna-examples/tree/main/tfkeras/tfkeras_integration.py))\n* [Weights & Biases](https://optuna-integration.readthedocs.io/en/stable/reference/index.html#wandb) ([example](https://github.com/optuna/optuna-examples/blob/main/wandb/wandb_integration.py))\n* [XGBoost](https://optuna-integration.readthedocs.io/en/stable/reference/index.html#xgboost) ([example](https://github.com/optuna/optuna-examples/tree/main/xgboost/xgboost_integration.py))\n\n## Installation\n\nOptuna-Integration is available at [the Python Package Index](https://pypi.org/project/optuna-integration/) and\non [Anaconda Cloud](https://anaconda.org/conda-forge/optuna-integration).\n\n```bash\n# PyPI\n$ pip install optuna-integration\n```\n\n```bash\n# Anaconda Cloud\n$ conda install -c conda-forge optuna-integration\n```\n\nOptuna-Integration supports from Python 3.7 to Python 3.10.\n\nAlso, we also provide Optuna docker images on [DockerHub](https://hub.docker.com/r/optuna/optuna).\n\n## Communication\n\n* [GitHub Discussions] for questions.\n* [GitHub Issues] for bug reports and feature requests.\n\n[GitHub Discussions]: https://github.com/optuna/optuna-integration/discussions\n\n[GitHub issues]: https://github.com/optuna/optuna-integration/issues\n\n## Contribution\n\nAny contributions to Optuna-Integration are more than welcome!\n\nFor general guidelines how to contribute to the project, take a look at [CONTRIBUTING.md](./CONTRIBUTING.md).\n\n## Reference\n\nTakuya Akiba, Shotaro Sano, Toshihiko Yanase, Takeru Ohta, and Masanori Koyama. 2019.\nOptuna: A Next-generation Hyperparameter Optimization Framework. In KDD ([arXiv](https://arxiv.org/abs/1907.10902)).\n",
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