# ray-project/tune-sklearn

<https://repo.masters-masters.com/en/repos/ray-project/tune-sklearn>

[Home](https://repo.masters-masters.com/en) › [ray-project](https://repo.masters-masters.com/en/owners/ray-project) › [tune-sklearn](https://repo.masters-masters.com/en/repos/ray-project/tune-sklearn)

ray-project/tune-sklearn has 468 stars on GitHub. Its RepoMasters card: Alpha tier. A drop-in replacement for Scikit-Learn’s GridSearchCV / RandomizedSearchCV…

| Field | Value |
| --- | --- |
| Owner | [ray-project](https://repo.masters-masters.com/en/owners/ray-project) |
| Stars | 468 |
| Forks | 49 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | Apache-2.0 |
| Created | 2019 |
| Topics | scikit-learn, hyperparameter-tuning, gridsearchcv, bayesian-optimization, automl |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [ray-project/tune-sklearn](https://github.com/ray-project/tune-sklearn) |

## Repository

A drop-in replacement for Scikit-Learn’s GridSearchCV / RandomizedSearchCV -- but with cutting edge hyperparameter tuning techniques.

Archived: this repository is read-only

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.
