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 77 (last one 20 days ago)

Stargazers 232 (0 this week)

Watchers 15 (0 this week)

Forks 48

License other

Ranking

RepositoryStats indexes 601,131 repositories, of these linkedin/isolation-forest is ranked #163,632 (73rd percentile) for total stargazers, and #146,901 for total watchers. Github reports the primary language for this repository as Scala, for repositories using this language it is ranked #615/2,002.

linkedin/isolation-forest is also tagged with popular topics, for these it's ranked: machine-learning (#3,103/8113), scala (#367/989), spark (#226/541), onnx (#155/366), anomaly-detection (#101/337)

Other Information

linkedin/isolation-forest has Github issues enabled, there are 2 open issues and 18 closed issues.

There have been 34 releases, the latest one was published on 2024-12-17 (20 days ago) with the name v3.2.10.

All Topics

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

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

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

updated: 2025-01-04 @ 09:23am, id: 199073494 / R_kgDOC92e1g