This is the implementation of the Adaptive XGBoost classifier as described in our forthcoming paper:
Montiel, Jacob, Mitchell, Rory, Frank, Eibe, Pfahringer, Bernhard, Abdessalem, Talel, and Bifet, Albert. “AdaptiveXGBoost for Evolving Data Streams”. In:IJCNN’20. International Joint Conference on Neural Networks. 2020. Forthcoming.
This implementation is written in Python 3 and built on top of scikit-multiflow.
To run the example:
python adaptive_xgboost_example.py