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 (6 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 618,350 repositories, of these fabsig/KTBoost is ranked #413,654 (33rd percentile) for total stargazers, and #303,826 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #79,484/125,168.

fabsig/KTBoost is also tagged with popular topics, for these it's ranked: machine-learning (#6,137/8271),  artificial-intelligence (#1,618/2215),  statistics (#597/763)

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 (4 years ago) with the name v0.2.0.

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Recent Commit History

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

Inactive

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Issue History

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Languages

The only known language in this repository is Python

PythonPython

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