Mvlearn: Multiview Machine Learning in Python
Abstract
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/.
Cite
Text
Perry et al. "Mvlearn: Multiview Machine Learning in Python." Machine Learning Open Source Software, 2021.Markdown
[Perry et al. "Mvlearn: Multiview Machine Learning in Python." Machine Learning Open Source Software, 2021.](https://mlanthology.org/mloss/2021/perry2021jmlr-mvlearn/)BibTeX
@article{perry2021jmlr-mvlearn,
title = {{Mvlearn: Multiview Machine Learning in Python}},
author = {Perry, Ronan and Mischler, Gavin and Guo, Richard and Lee, Theodore and Chang, Alexander and Koul, Arman and Franz, Cameron and Richard, Hugo and Carmichael, Iain and Ablin, Pierre and Gramfort, Alexandre and Vogelstein, Joshua T.},
journal = {Machine Learning Open Source Software},
year = {2021},
pages = {1-7},
volume = {22},
url = {https://mlanthology.org/mloss/2021/perry2021jmlr-mvlearn/}
}