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Update README with archival message #282

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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.

## ⚠️ `tune-sklearn` is no longer being maintained

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
with `ray>=2.7.x, ray<=2.9.x`. The library will not be guaranteed to work with future Ray versions.

The recommended alternative to keep up with the latest version of Ray is to migrate `tune-sklearn` usage
to the [Ray Tune APIs](https://docs.ray.io/en/latest/tune/getting-started.html) to accomplish the same thing.

Feel free to post an issue on the [Ray Github](https://github.com/ray-project/ray) if you run into any issues in migrating.

## Features
Here’s what tune-sklearn has to offer:

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