OutlierDetection .jl：Julia程序设计语言的模块化离群值检测生态系统
OutlierDetection.jl: A modular outlier detection ecosystem for the Julia programming language
摘要：
jl是Julia中用于离群值检测的开源生态系统。它提供了一系列直接在Julia中实现的高性能离群值检测算法。与以前的包相比，我们的生态系统使用高级程序设计语言开发高度可扩展的离群值检测算法。此外，它为未来的离群值检测算法提供了一个标准化但灵活的接口，并允许在以前的包中看不到的模型组合。单元测试、持续集成和代码覆盖率报告等最佳实践在整个生态系统中得到实施。最新版本的OutlierDetection.jl可从https://github.com/OutlierDetectionJL/OutlierDetection.jl获得。
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
