scikit-multiflow is inspired by MOA, the most popular open source framework for machine learning for data streams, and MEKA, an open source implementation of methods for multi-label learning. scikit-multiflow is also inspired on scikit-learn, the most popular framework for machine learning in Python. Following the SciKits philosophy, scikit-multiflow is an open source machine learning framework for multi-output/multi-label and stream data.

More Information

For more information visit the scikit-multiflow website.

Available Versions

These versions of scikit-multiflow are available on the BEAR systems (BlueBEAR, BEARCloud VMs, and CaStLeS VMs). These will be retained in accordance with our Applications Support and Retention Policy.