论文标题
MVLEARN：Python中的多视机学习
mvlearn: Multiview Machine Learning in Python
论文作者
论文摘要
随着数据越来越多地从多个不同的来源生成，多视图数据集（每个样本都具有不同视图的特征，近年来都会激增。但是，没有任何全面的包裹可以使非专家可以轻松使用这些方法。 Mvlearn是一个python库，它实现了领先的多视机学习方法。它的简单API紧密遵循Scikit-Learn的API，以提高易用性。该软件包可以从Python软件包索引（PYPI）和Conda软件包管理器安装，并根据MIT开源许可发布。文档，详细示例和所有版本可在https://mvlearn.github.io/上找到。
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/.
