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OutlierDetection.jl: A modular outlier detection ecosystem for the Julia programming language
November 08, 2022 · Declared Dead · 🏛 arXiv.org
Authors
David Muhr, Michael Affenzeller, Anthony D. Blaom
arXiv ID
2211.04550
Category
cs.LG: Machine Learning
Citations
3
Venue
arXiv.org
Repository
https://github.com/OutlierDetectionJL/OutlierDetection.jl
Last Checked
1 month ago
Abstract
OutlierDetection.jl is an open-source ecosystem for outlier detection in Julia. It provides a range of high-performance outlier detection algorithms implemented directly in Julia. In contrast to previous packages, our ecosystem enables the development highly-scalable outlier detection algorithms using a high-level programming language. Additionally, it provides a standardized, yet flexible, interface for future outlier detection algorithms and allows for model composition unseen in previous packages. Best practices such as unit testing, continuous integration, and code coverage reporting are enforced across the ecosystem. The most recent version of OutlierDetection.jl is available at https://github.com/OutlierDetectionJL/OutlierDetection.jl.
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