A multi-output/multi-label and stream data framework. Inspired by MOA and MEKA, following scikit-learn's philosophy.

• Webpage
• Documentation
• Users Group

matplotlib backend considerations

• You may need to change your matplotlib backend, because not all backends work in all machines.
• If this is the case you need to check matplotlib's configuration. In the matplotlibrc file you will need to change the line:

  backend     : Qt5Agg  
  

  to:

  backend     : another backend that works on your machine
  

• The Qt5Agg backend should work with most machines, but a change may be needed.

Jupyter Notebooks

In order to display plots from scikit-multiflow within a Jupyter Notebook we need to define the proper mathplotlib backend to use. This is done via a magic command at the beginning of the Notebook:

%matplotlib notebook

JupyterLab is the next-generation user interface for Jupyter, currently in beta it can display plots with some caveats. If you use JupyterLab then the current solution is to use the jupyter-matplotlib extension:

%matplotlib ipympl

License

• 3-Clause BSD License

Citing scikit-multiflow

If you want to cite scikit-multiflow in a publication, please use the following Bibtex entry:

@article{skmultiflow,
    author  = {Montiel, Jacob and Read, Jesse and Bifet, Albert and Abdessalem, Talel },
    title   = {{Scikit-Multiflow: A Multi-output Streaming Framework}},
    url     = {https://github.com/scikit-multiflow/scikit-multiflow},
    journal = {CoRR},
    volume  = {abs/1807.04662},
    year    = {2018}
}