mvlearn: Multiview Machine Learning in Python
This provides a tool for researchers and practitioners dealing with multiview data from disparate sources, though it is incremental as it packages existing methods.
The authors tackled the lack of a comprehensive package for multiview machine learning by developing mvlearn, a Python library that implements leading methods with a scikit-learn-like API, making these techniques accessible to non-specialists.
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/.