论文标题
弗洛罗斯：用于机器学习系统中漂移检测的Python库
Frouros: A Python library for drift detection in machine learning systems
论文作者
论文摘要
弗洛斯（Frolos）是一个开源python库，能够检测机器学习系统中的漂移。它提供了用于漂移检测的经典和最新算法的组合：概念和数据漂移。我们设计的目的是使其与任何机器学习框架兼容，并易于适应现实世界中的用例。图书馆是根据一组最佳开发和持续整合实践开发的，以确保易于维护和可扩展性。源代码可在https://github.com/ifca/frouros上找到。
Frouros is an open-source Python library capable of detecting drift in machine learning systems. It provides a combination of classical and more recent algorithms for drift detection: both concept and data drift. We have designed it with the objective of making it compatible with any machine learning framework and easily adaptable to real-world use cases. The library is developed following a set of best development and continuous integration practices to ensure ease of maintenance and extensibility. The source code is available at https://github.com/IFCA/frouros.
