erdogant / hgboost

hgboost is a python package for hyper-parameter optimization for xgboost, catboost or lightboost using cross-validation, and evaluating the results on an independent validation set. hgboost can be applied for classification and regression tasks.

Date Created 2020-04-19 (4 years ago)

Commits 278 (last one about a month ago)

Stargazers 61 (0 this week)

Watchers 5 (0 this week)

Forks 17

License other

Ranking

RepositoryStats indexes 585,332 repositories, of these erdogant/hgboost is ranked #405,898 (31st percentile) for total stargazers, and #332,562 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #76,922/116,570.

erdogant/hgboost is also tagged with popular topics, for these it's ranked: python (#16,712/22032), machine-learning (#6,057/7939)

Other Information

erdogant/hgboost has Github issues enabled, there are 5 open issues and 15 closed issues.

There have been 19 releases, the latest one was published on 2024-10-11 (about a month ago) with the name 1.1.6.

Homepage URL: http://erdogant.github.io/hgboost

All Topics

python xgboost catboost gridsearch lightboost crossvalidation machine-learning hyperoptimization

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

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The primary language is Python but there's also others...

updated: 2024-11-14 @ 05:40pm, id: 257025146 / R_kgDOD1Hkeg