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This repository was archived by the owner on Nov 14, 2023. It is now read-only.

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Update README with archival message (#282)
Signed-off-by: Justin Yu <[email protected]>
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README.md

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Tune-sklearn is a drop-in replacement for Scikit-Learn’s model selection module (GridSearchCV, RandomizedSearchCV) with cutting edge hyperparameter tuning techniques.
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## ⚠️ `tune-sklearn` is no longer being maintained
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The latest release `0.5.0` is the last version of the library that will be released by the Ray team, and it is compatible
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with `ray>=2.7.x, ray<=2.9.x`. The library will not be guaranteed to work with future Ray versions.
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The recommended alternative to keep up with the latest version of Ray is to migrate `tune-sklearn` usage
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to the [Ray Tune APIs](https://docs.ray.io/en/latest/tune/getting-started.html) to accomplish the same thing.
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Feel free to post an issue on the [Ray Github](https://github.com/ray-project/ray) if you run into any issues in migrating.
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## Features
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Here’s what tune-sklearn has to offer:
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