Scikit-multiflow is a multi-output/multi-label and stream data mining framework for the Python programming language. Conceived to serve as a platform to encourage democratization of stream learning research, it provides multiple state of the art methods for stream learning, stream generators and evaluators. scikit-multiflow builds upon popular open source frameworks including scikit-learn, MOA and MEKA. Development follows the FOSS principles and quality is enforced by complying with PEP8 guidelines and using continuous integration and automatic testing. The source code is publicly available at https://github.com/scikit-multiflow/scikit-multiflow.
@article{arxiv.1807.04662,
title = {Scikit-Multiflow: A Multi-output Streaming Framework},
author = {Jacob Montiel and Jesse Read and Albert Bifet and Talel Abdessalem},
journal= {arXiv preprint arXiv:1807.04662},
year = {2020}
}