Waikato / moa

MOA is an open source framework for Big Data stream mining. It includes a collection of machine learning algorithms (classification, regression, clustering, outlier detection, concept drift detection and recommender systems) and tools for evaluation.

Date Created 2014-05-02 (10 years ago)

Commits 1,330 (last one 8 days ago)

Stargazers 612 (0 this week)

Watchers 54 (0 this week)

Forks 353

License gpl-3.0

Ranking

RepositoryStats indexes 564,918 repositories, of these Waikato/moa is ranked #76,153 (87th percentile) for total stargazers, and #37,677 for total watchers. Github reports the primary language for this repository as Java, for repositories using this language it is ranked #5,230/27,690.

Waikato/moa is also tagged with popular topics, for these it's ranked: machine-learning (#1,769/7699), java (#1,654/7554), machine-learning-algorithms (#51/263)

Other Information

Waikato/moa has 16 open pull requests on Github, 156 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there are 18 open issues and 68 closed issues.

There have been 16 releases, the latest one was published on 2024-07-18 (2 months ago) with the name MOA 24.07.0.

Homepage URL: http://moa.cms.waikato.ac.nz/

All Topics

moa java clustering machine-learning data-stream-mining streaming-algorithms machine-learning-algorithms

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Recent Commit History

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

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Languages

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

updated: 2024-09-23 @ 02:23am, id: 19367053 / R_kgDOASeEjQ