This paper presents a novel library for Extreme Learning Machines (ELM) called Scikit-ELM (https://github.com/akusok/scikit-elm, https://scikit-elm.readthedocs.io). Usability and flexibility of the approach are the main focus points in this work, achieved primarily through a tight integration with Scikit-Learn, a de facto industry standard library in Machine Learning outside Deep Learning. Methodological advances enable great flexibility in dynamic addition of new classes to a trained model, or by allowing a model to forget previously learned data.
|Title of host publication||Proceedings of ELM2019|
|Editors||Jiuwen Cao, Chi Man Vong, Yoan Miche, Amaury Lendasse|
|Place of Publication||Cham|
|Publication status||Published - 2021|
|MoE publication type||A4 Article in conference proceedings|
|Name||Proceedings in Adaptation, Learning and Optimization|
- 113 Computer and information sciences