This 0.2.1 version is developed by the following people in Fall, 2019 and Spring, 2020:

• Yu(Hue) Wang [email protected]
• Eric Xia [email protected]

Eric worked on 1) extending the wrf to the regression case; 2) extending the code to the signed iRF case; 3) adding a new way to find frequent iterations via spark FP-growth algorithm; 4) adding a new weight to RIT. Hue worked on designing the wrf class to be compible with scikit-learn and also refactoring the code to reuse the most parts of scikit-learn randomforests package.

This package is developed by the following people starting in Fall, 2016.

Contributors:

• Shamindra Shrotriya https://github.com/shamindras
• Runjing(Bryan) Liu [email protected]
• Stéfan van der Walt [email protected]
• Chris Holdgraf [email protected]
• Karl Kumbier [email protected]
• Yu(Hue) Wang [email protected]