Treffer: mvlearn: Multiview Machine Learning in Python.

Title:
mvlearn: Multiview Machine Learning in Python.
Authors:
Perry, Ronan1 RPERRY27@JHU.EDU, Mischler, Gavin2 GM2944@COLUMBIA.EDU, Guo, Richard3 RICHARDG7890@GMAIL.COM, Lee, Theodore1 TLEE124@JHU.EDU, Chang, Alexander1 ALEXC3071@GMAIL.COM, Koul, Arman1 ARMANKOUL@GMAIL.COM, Franz, Cameron3 CFRANZ3@JHU.EDU, Richard, Hugo4 HUGO.RICHARD@INRIA.FR, Carmichael, Iain5 IDC9@UW.EDU, Ablin, Pierre6 PIERRE.ABLIN@ENS.FR, Gramfort, Alexandre4 ALEXANDRE.GRAMFORT@INRIA.FR, Vogelstein, Joshua T.1,7,8,9 JOVO@JHU.EDU
Source:
Journal of Machine Learning Research. 2021, Vol. 22, p1-7. 7p.
Database:
Business Source Premier

Weitere Informationen

As data are generated more and more from multiple disparate sources, multiview data sets, where each sample has features in distinct views, have grown in recent years. However, no comprehensive package exists that enables non-specialists to use these methods easily. mvlearn is a Python library which implements the leading multiview machine learning methods. Its simple API closely follows that of scikit-learn for increased ease-of-use. The package can be installed from Python Package Index (PyPI) and the conda package manager and is released under the MIT open-source license. The documentation, detailed examples, and all releases are available at https://mvlearn.github.io/. [ABSTRACT FROM AUTHOR]

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