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Contrib and Third-Party Libraries

Yellowbrick's primary dependencies are scikit-learn and matplotlib, however the data science landscape in Python is large and there are many opportunties to use Yellowbrick with other machine learning and data analysis frameworks. The yellowbrick.contrib package contains several methods and mechanisms to support non-scikit-learn machine learning as well as extra tools and experimental visualizers that are outside of core support or are still in development.

Note

If you're interested in using a non-scikit-learn estimator with Yellowbrick, please see the :doc:`wrapper` documentation. If the wrapper doesn't work out of the box, we welcome contributions to this module to include other libraries!

The following contrib packages are currently available:

.. toctree::
   :maxdepth: 1

   wrapper
   statsmodels
   boundaries
   scatter
   missing/index