Frouros: A Python library for drift detection in machine learning systems

Autor:	Céspedes-Sisniega, Jaime, López-García, Álvaro
Rok vydání:	2022
Předmět:	Computer Science - Machine Learning G.3 G.4 I.2.0
Druh dokumentu:	Working Paper
Popis:	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. Comment: 11 pages, 1 table
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2208.06868 Zobrazit plný text záznamu View this record from Arxiv