/scikit-multiflow

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

Primary LanguagePythonBSD 3-Clause "New" or "Revised" LicenseBSD-3-Clause

Build Status PyPI - Python Version

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

Project leaders

  • Jacob MONTIEL
  • Jesse READ
  • Albert BIFET

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