Skip to yearly menu bar Skip to main content


Toolbox for Multimodal Learn (scikit-multimodallearn)

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

Great Hall & Hall B1+B2 (level 1) #1019
[ ]
Thu 14 Dec 3 p.m. PST — 5 p.m. PST


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.

Chat is not available.