linkedin / isolation-forest

A distributed Spark/Scala implementation of the isolation forest algorithm for unsupervised outlier detection, featuring support for scalable training and ONNX export for easy cross-platform inference.

Date Created 2019-07-26 (5 years ago)

Commits 75 (last one 14 days ago)

Stargazers 231 (0 this week)

Watchers 16 (0 this week)

Forks 48

License other

Ranking

RepositoryStats indexes 589,134 repositories, of these linkedin/isolation-forest is ranked #162,040 (72nd percentile) for total stargazers, and #137,475 for total watchers. Github reports the primary language for this repository as Scala, for repositories using this language it is ranked #617/1,989.

linkedin/isolation-forest is also tagged with popular topics, for these it's ranked: machine-learning (#3,083/7978), scala (#368/983), spark (#226/537), onnx (#151/360), anomaly-detection (#101/330)

Other Information

linkedin/isolation-forest has 1 open pull request on Github, 29 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there are 2 open issues and 18 closed issues.

There have been 32 releases, the latest one was published on 2024-11-19 (14 days ago) with the name v3.2.7.

All Topics

onnx scala spark linkedin isolation-forest machine-learning anomaly-detection outlier-detection unsupervised-learning

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Recent Commit History

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

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Languages

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

updated: 2024-11-28 @ 06:21pm, id: 199073494 / R_kgDOC92e1g