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2022 JMLR JMLR 2022

Toolbox for Multimodal Learn (scikit-multimodallearn)

Abstract

scikit-multimodallearn is a Python library for multimodal supervised learning, licensed under Free BSD, and compatible with the well-known scikit-learn toolbox (Fabian Pedregosa, 2011). This paper details the content of the library, including a specific multimodal data formatting and classification and regression algorithms. Use cases and examples are also provided. [abs] [ pdf ][ bib ] [ code ] © JMLR 2022. (edit, beta)

Authors

Dominique Benielli, Baptiste Bauvin, Sokol Koço, Riikka Huusari, Cécile Capponi, Hachem Kadri, François Laviolette

Topics

Artificial Intelligence > Core AI > Multimodal Learning Machine Learning > Core Methods > Classification Machine Learning > Core Methods > Regression Deep Learning > Learning Types > Multimodal Learning

Keywords

multimodal learning classification algorithm regression algorithm python library

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