Toolbox for Multimodal Learn (scikit-multimodallearn)
Dominique Benielli ⋅ Baptiste Bauvin ⋅ Sokol Koço ⋅ Riikka Huusari ⋅ Cécile Capponi ⋅ Hachem Kadri ⋅ François Laviolette
2023 Poster
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.
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