mvlearn: Multiview Machine Learning in Python
Machine Learning
2021-05-27 v4 Machine Learning
Computation
Abstract
As data are generated more and more from multiple disparate sources, multiview data sets, where each sample has features in distinct views, have ballooned 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/.
Cite
@article{arxiv.2005.11890,
title = {mvlearn: Multiview Machine Learning in Python},
author = {Ronan Perry and Gavin Mischler and Richard Guo and Theodore Lee and Alexander Chang and Arman Koul and Cameron Franz and Hugo Richard and Iain Carmichael and Pierre Ablin and Alexandre Gramfort and Joshua T. Vogelstein},
journal= {arXiv preprint arXiv:2005.11890},
year = {2021}
}
Comments
6 pages, 2 figures, 1 table