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Merge pull request optuna#830 from Crissman/integrations
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Add integration modules list to readme
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hvy authored Jan 9, 2020
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Expand Up @@ -75,6 +75,21 @@ study.optimize(objective, n_trials=100) # Invoke optimization of the objective
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## Integrations

[Integrations modules](https://optuna.readthedocs.io/en/stable/tutorial/pruning.html), which allow pruning, or early stopping, of unpromising trials are available for the following libraries:

* XGBoost
* LightGBM
* Chainer
* Keras
* TensorFlow
* tf.keras
* MXNet
* PyTorch Ignite
* PyTorch Lightning
* FastAI

## Installation

Optuna is available at [the Python Package Index](https://pypi.org/project/optuna/) and on [Anaconda Cloud](https://anaconda.org/conda-forge/optuna).
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