Machine Learning for Data Streams with CapyMOA

Yibin Sun; Heitor Murilo Gomes; Anton Lee; Nuwan Gunasekara; Guilherme Weigert Cassales; Jia Justin Liu; Marco Heyden; Vitor Cerqueira; Maroua Bahri; Yun Sing Koh; Bernhard Pfahringer; Albert Bifet

doi:10.1007/978-3-032-06129-4_27

Machine Learning for Data Streams with CapyMOA

Yibin Sun
, Heitor Murilo Gomes
, Anton Lee
, Nuwan Gunasekara
, Guilherme Weigert Cassales
, Jia Justin Liu
, Marco Heyden
, Vitor Cerqueira
, Maroua Bahri
, Yun Sing Koh
, Bernhard Pfahringer
, Albert Bifet

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

The exponential growth of data in recent decades has underscored the need for high-speed, real-time, and adaptive processing in machine learning. Data stream learning provides an effective framework to address this challenge. This article introduces CapyMOA, an open-source library designed specifically for data stream learning, offering powerful tools for building and deploying adaptive ML models. GitHub: https://github.com/adaptive-machine-learning/CapyMOA. Website: https://capymoa.org.

Original language	English
Title of host publication	Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track and Demo Track - European Conference, ECML PKDD 2025, Proceedings
Editors	Inês Dutra, Alípio M. Jorge, Carlos Soares, João Gama, Mykola Pechenizkiy, Paulo Cortez, Sepideh Pashami, Arian Pasquali, Nuno Moniz, Pedro H. Abreu
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	438-443
Number of pages	6
ISBN (Print)	9783032061287
DOIs	https://doi.org/10.1007/978-3-032-06129-4_27
Publication status	Published - 1 Jan 2026
Externally published	Yes
Event	European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML PKDD 2025 - Porto, Portugal Duration: 15 Sept 2025 → 19 Sept 2025

Publication series

Name	Lecture Notes in Computer Science
Volume	16022
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML PKDD 2025
Country/Territory	Portugal
City	Porto
Period	15/09/25 → 19/09/25

Keywords

Concept Drift
Data Streams
Machine Learning
Online Continual Learning
Open-source
Semi-supervised Learning

Access to Document

10.1007/978-3-032-06129-4_27

Cite this

Sun, Y., Gomes, H. M., Lee, A., Gunasekara, N., Weigert Cassales, G., Liu, J. J., Heyden, M., Cerqueira, V., Bahri, M., Koh, Y. S., Pfahringer, B., & Bifet, A. (2026). Machine Learning for Data Streams with CapyMOA. In I. Dutra, A. M. Jorge, C. Soares, J. Gama, M. Pechenizkiy, P. Cortez, S. Pashami, A. Pasquali, N. Moniz, & P. H. Abreu (Eds.), Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track and Demo Track - European Conference, ECML PKDD 2025, Proceedings (pp. 438-443). (Lecture Notes in Computer Science; Vol. 16022). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-032-06129-4_27

Sun, Yibin ; Gomes, Heitor Murilo ; Lee, Anton et al. / Machine Learning for Data Streams with CapyMOA. Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track and Demo Track - European Conference, ECML PKDD 2025, Proceedings. editor / Inês Dutra ; Alípio M. Jorge ; Carlos Soares ; João Gama ; Mykola Pechenizkiy ; Paulo Cortez ; Sepideh Pashami ; Arian Pasquali ; Nuno Moniz ; Pedro H. Abreu. Springer Science and Business Media Deutschland GmbH, 2026. pp. 438-443 (Lecture Notes in Computer Science).

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Sun, Y, Gomes, HM, Lee, A, Gunasekara, N, Weigert Cassales, G, Liu, JJ, Heyden, M, Cerqueira, V, Bahri, M, Koh, YS, Pfahringer, B & Bifet, A 2026, Machine Learning for Data Streams with CapyMOA. in I Dutra, AM Jorge, C Soares, J Gama, M Pechenizkiy, P Cortez, S Pashami, A Pasquali, N Moniz & PH Abreu (eds), Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track and Demo Track - European Conference, ECML PKDD 2025, Proceedings. Lecture Notes in Computer Science, vol. 16022, Springer Science and Business Media Deutschland GmbH, pp. 438-443, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML PKDD 2025, Porto, Portugal, 15/09/25. https://doi.org/10.1007/978-3-032-06129-4_27

Machine Learning for Data Streams with CapyMOA. / Sun, Yibin; Gomes, Heitor Murilo; Lee, Anton et al.
Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track and Demo Track - European Conference, ECML PKDD 2025, Proceedings. ed. / Inês Dutra; Alípio M. Jorge; Carlos Soares; João Gama; Mykola Pechenizkiy; Paulo Cortez; Sepideh Pashami; Arian Pasquali; Nuno Moniz; Pedro H. Abreu. Springer Science and Business Media Deutschland GmbH, 2026. p. 438-443 (Lecture Notes in Computer Science; Vol. 16022).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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KW - Online Continual Learning

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BT - Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track and Demo Track - European Conference, ECML PKDD 2025, Proceedings

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Sun Y, Gomes HM, Lee A, Gunasekara N, Weigert Cassales G, Liu JJ et al. Machine Learning for Data Streams with CapyMOA. In Dutra I, Jorge AM, Soares C, Gama J, Pechenizkiy M, Cortez P, Pashami S, Pasquali A, Moniz N, Abreu PH, editors, Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track and Demo Track - European Conference, ECML PKDD 2025, Proceedings. Springer Science and Business Media Deutschland GmbH. 2026. p. 438-443. (Lecture Notes in Computer Science). doi: 10.1007/978-3-032-06129-4_27