ray-project / tune-sklearn

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

Date Created 2019-11-28 (5 years ago)

Commits 182 (last one about a year ago)

Stargazers 467 (0 this week)

Watchers 17 (0 this week)

Forks 51

License apache-2.0

This repository has been archived on Github

Ranking

RepositoryStats indexes 589,134 repositories, of these ray-project/tune-sklearn is ranked #95,793 (84th percentile) for total stargazers, and #129,849 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #15,882/117,584.

ray-project/tune-sklearn is also tagged with popular topics, for these it's ranked: scikit-learn (#125/351), automl (#78/212)

Other Information

ray-project/tune-sklearn has 2 open pull requests on Github, 133 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there are 33 open issues and 98 closed issues.

There have been 12 releases, the latest one was published on 2023-11-06 (about a year ago) with the name tune-sklearn v0.5.0.

Homepage URL: https://docs.ray.io/en/master/tune/api_docs/sklearn.html

All Topics

automl gridsearchcv scikit-learn bayesian-optimization hyperparameter-tuning

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22 commits on the default branch (master) since jan '22

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updated: 2024-11-13 @ 12:47pm, id: 224567771 / R_kgDODWKh2w