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Optuna-Integration\n\n[![Python](https://img.shields.io/badge/python-3.9%20%7C%203.10%20%7C%203.11%20%7C%203.12%20%7C%203.13-blue)](https://www.python.org)\n[![pypi](https://img.shields.io/pypi/v/optuna-integration.svg)](https://pypi.python.org/pypi/optuna-integration)\n[![conda](https://img.shields.io/conda/vn/conda-forge/optuna-integration.svg)](https://anaconda.org/conda-forge/optuna-integration)\n[![GitHub license](https://img.shields.io/badge/license-MIT-blue.svg)](https://github.com/optuna/optuna-integration)\n[![Read the Docs](https://readthedocs.org/projects/optuna-integration/badge/?version=stable)](https://optuna-integration.readthedocs.io/en/stable/)\n\nThis package is an integration module of [Optuna](https://github.com/optuna/optuna), an automatic Hyperparameter optimization software framework.\nThe modules in this package provide users with extended functionalities for Optuna in combination with third-party libraries such as PyTorch, sklearn, and TensorFlow.\n\n\u003e [!NOTE]\n\u003e You can find more information in [**our official documentations**](https://optuna-integration.readthedocs.io/en/stable/) and [**API reference**](https://optuna-integration.readthedocs.io/en/stable/reference/index.html).\n\n## Installation\n\nOptuna-Integration is available via [pip](https://pypi.org/project/optuna-integration/) and\non [conda](https://anaconda.org/conda-forge/optuna-integration).\n\n```bash\n# PyPI\n$ pip install optuna-integration\n\n# Anaconda Cloud\n$ conda install -c conda-forge optuna-integration\n```\n\n\u003e [!IMPORTANT]\n\u003e As dependencies of all the modules are large and complicated, the commands above install only the common dependencies.\n\u003e Dependencies for each module can be installed via pip.\n\u003e For example, if you would like to install the dependencies of `optuna_integration.botorch` and `optuna_integration.lightgbm`, you can install them via:\n\u003e ```shell\n\u003e $ pip install optuna-integration[botorch,lightgbm]\n\u003e ```\n\n\u003e [!NOTE]\n\u003e Optuna-Integration supports from Python 3.9 to Python 3.13.\n\u003e Optuna Docker image is also provided at [DockerHub](https://hub.docker.com/r/optuna/optuna).\n\n## Integration Modules\n\nHere is the table of `optuna-integration` modules:\n\n|Third Party Library| Example |\n|:--|:--|\n|[BoTorch](https://optuna-integration.readthedocs.io/en/stable/reference/index.html#botorch)| Unavailable |\n|[CatBoost](https://optuna-integration.readthedocs.io/en/stable/reference/index.html#catboost)|[CatBoostPruningCallback](https://github.com/optuna/optuna-examples/blob/main/catboost/catboost_pruning.py)|\n|[Dask](https://optuna-integration.readthedocs.io/en/stable/reference/index.html#dask)|[DaskStorage](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)|[FastAIPruningCallback](https://github.com/optuna/optuna-examples/tree/main/fastai/fastai_simple.py)|\n|[Keras](https://optuna-integration.readthedocs.io/en/stable/reference/index.html#keras)|[KerasPruningCallback](https://github.com/optuna/optuna-examples/blob/main/keras/keras_integration.py)|\n|[LightGBM](https://optuna-integration.readthedocs.io/en/stable/reference/index.html#lightgbm)|[LightGBMPruningCallback](https://github.com/optuna/optuna-examples/blob/main/lightgbm/lightgbm_integration.py) / [LightGBMTuner](https://github.com/optuna/optuna-examples/blob/main/lightgbm/lightgbm_tuner_simple.py)|\n|[MLflow](https://optuna-integration.readthedocs.io/en/stable/reference/index.html#mlflow)*|[MLflowCallback](https://github.com/optuna/optuna-examples/blob/main/mlflow/keras_mlflow.py)|\n|[PyTorch Distributed](https://optuna-integration.readthedocs.io/en/stable/reference/index.html#pytorch)|[TorchDistributedTrial](https://github.com/optuna/optuna-examples/blob/main/pytorch/pytorch_distributed_simple.py)|\n|[PyTorch Ignite](https://optuna-integration.readthedocs.io/en/stable/reference/index.html#pytorch)|[PyTorchIgnitePruningHandler](https://github.com/optuna/optuna-examples/blob/main/pytorch/pytorch_ignite_simple.py)|\n|[PyTorch Lightning](https://optuna-integration.readthedocs.io/en/stable/reference/index.html#pytorch)|[PyTorchLightningPruningCallback](https://github.com/optuna/optuna-examples/blob/main/pytorch/pytorch_lightning_simple.py)|\n|[pycma](https://optuna-integration.readthedocs.io/en/stable/reference/index.html#pycma)*|[PyCma Sampler](https://github.com/optuna/optuna-integration/blob/v4.4.0/optuna_integration/cma/cma.py#L44-L64)|\n|[SHAP](https://optuna-integration.readthedocs.io/en/stable/reference/index.html#shap)|[SHAP Importance Evaluator](https://github.com/optuna/optuna-integration/blob/v4.4.0/optuna_integration/shap/shap.py#L29-L45)|\n|[scikit-learn](https://optuna-integration.readthedocs.io/en/stable/reference/index.html#sklearn)|[OptunaSearchCV](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)|[SkorchPruningCallback](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)*|[TensorBoardCallback](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)|[TFKerasPruningCallback](https://github.com/optuna/optuna-examples/tree/main/tfkeras/tfkeras_integration.py)|\n|[Weights \u0026 Biases](https://optuna-integration.readthedocs.io/en/stable/reference/index.html#wandb)*|[WeightsAndBiasesCallback](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)|[XGBoostPruningCallback](https://github.com/optuna/optuna-examples/tree/main/xgboost/xgboost_integration.py)|\n|[Trackio](https://optuna-integration.readthedocs.io/en/stable/reference/index.html#trackio)*|[TrackioCallback](https://github.com/optuna/optuna-integration/tree/main/optuna_integration/trackio/trackio.py)|\n|[AllenNLP](https://optuna-integration.readthedocs.io/en/stable/reference/index.html#allennlp)*|[AllenNLPPruningCallback](https://github.com/optuna/optuna-examples/blob/main/allennlp/allennlp_simple.py)|\n|[Chainer](https://optuna-integration.readthedocs.io/en/stable/reference/index.html#chainer)*|[ChainerPruningExtension](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)* | [ChainerMNStudy](https://github.com/optuna/optuna-examples/tree/main/chainer/chainermn_simple.py) |\n|[MXNet](https://optuna-integration.readthedocs.io/en/stable/reference/index.html#mxnet)*|Unavailable|\n\n\u003e [!WARNING]\n\u003e `*` shows deprecated modules and they might be removed in the future.\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\nIf you use Optuna in one of your research projects, please cite [our KDD paper](https://doi.org/10.1145/3292500.3330701) \"Optuna: A Next-generation Hyperparameter Optimization Framework\":\n\n\u003cdetails open\u003e\n\u003csummary\u003eBibTeX\u003c/summary\u003e\n\n```bibtex\n@inproceedings{akiba2019optuna,\n  title={{O}ptuna: A Next-Generation Hyperparameter Optimization Framework},\n  author={Akiba, Takuya and Sano, Shotaro and Yanase, Toshihiko and Ohta, Takeru and Koyama, Masanori},\n  booktitle={The 25th ACM SIGKDD International Conference on Knowledge Discovery \\\u0026 Data Mining},\n  pages={2623--2631},\n  year={2019}\n}\n```\n\u003c/details\u003e\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Foptuna%2Foptuna-integration","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Foptuna%2Foptuna-integration","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Foptuna%2Foptuna-integration/lists"}