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 83 (last one a day ago)

Stargazers 239 (0 this week)

Watchers 13 (0 this week)

Forks 50

License other

Ranking

RepositoryStats indexes 631,885 repositories, of these linkedin/isolation-forest is ranked #165,393 (74th percentile) for total stargazers, and #161,596 for total watchers. Github reports the primary language for this repository as Scala, for repositories using this language it is ranked #607/2,034.

linkedin/isolation-forest is also tagged with popular topics, for these it's ranked: machine-learning (#3,126/8396), scala (#363/1000), spark (#226/552), onnx (#158/375), anomaly-detection (#102/355)

Other Information

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

There have been 39 releases, the latest one was published on 2025-03-25 (a day ago) with the name v4.0.1.

All Topics

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

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

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

updated: 2025-03-26 @ 10:44am, id: 199073494 / R_kgDOC92e1g