CapyMOA: Efficient Machine Learning for Data Streams in Python

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dc.contributor.authorGomes HM
dc.contributor.authorLee A
dc.contributor.authorGunasekara N
dc.contributor.authorSun Y
dc.contributor.authorCassales GW
dc.contributor.authorLiu J
dc.contributor.authorHeyden M
dc.contributor.authorCerqueira V
dc.contributor.authorBahri M
dc.contributor.authorKoh YS
dc.contributor.authorPfahringer B
dc.contributor.authorBifet A
dc.date.accessioned2026-04-14T22:02:08Z
dc.date.issued2025-02-11
dc.identifier.doi10.48550/arxiv.2502.07432
dc.identifier.elements-typepreprint
dc.identifier.urihttps://mro.massey.ac.nz/handle/10179/74427
dc.languageEnglish
dc.publisher.urihttps://arxiv.org/abs/2502.07432
dc.rights(c) The author/sen
dc.subject46 Information and Computing Sciences
dc.subject4611 Machine Learning
dc.subjectMachine Learning and Artificial Intelligence
dc.subjectData Science
dc.subjectBioengineering
dc.subjectNetworking and Information Technology R&D (NITRD)
dc.titleCapyMOA: Efficient Machine Learning for Data Streams in Python
dc.typeother
pubs.elements-id609804
pubs.organisational-groupOther

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