This repository contains the implementation of the FEDD drift detector for time series. The implementation is extracted from https://github.com/GustavoHFMO/IDPSO-ELM-S and translated into English. It also has an example of how to apply it to a dataset.
References:
[1] R. C. Cavalcante, L. L. Minku and A. L. I. Oliveira, "FEDD: Feature Extraction for Explicit Concept Drift Detection in time series," 2016 International Joint Conference on Neural Networks (IJCNN), Vancouver, BC, Canada, 2016, pp. 740-747, doi: 10.1109/IJCNN.2016.7727274.