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NeurIPS 2023PosterAccept (Poster)

Toolbox for Multimodal Learn (scikit-multimodallearn)

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

Aix-Marseille University, CNRS, Institut Archimede, LIS · Aix Marseille Uuniversité - QARMA, ULaval - GRAAL · Aix-Marseille University · Aix Marseille Univ

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摘要

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.