fabsig / KTBoost

A Python package which implements several boosting algorithms with different combinations of base learners, optimization algorithms, and loss functions.

Date Created 2019-01-04 (5 years ago)

Commits 69 (last one 3 years ago)

Stargazers 63 (0 this week)

Watchers 6 (0 this week)

Forks 19

License other

Ranking

RepositoryStats indexes 598,732 repositories, of these fabsig/KTBoost is ranked #403,796 (33rd percentile) for total stargazers, and #301,445 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #77,008/120,199.

fabsig/KTBoost is also tagged with popular topics, for these it's ranked: machine-learning (#6,045/8091), artificial-intelligence (#1,560/2121), statistics (#592/755)

Other Information

fabsig/KTBoost has Github issues enabled, there are 3 open issues and 8 closed issues.

There have been 1 release, the latest one was published on 2021-01-14 (3 years ago) with the name v0.2.0.

All Topics

gbm gbdt grabit ktboost boosting statistics machine-learning artificial-intelligence

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The only known language in this repository is Python

updated: 2024-10-28 @ 09:39pm, id: 164089718 / R_kgDOCcfPdg