TREX (Tree-ensemble Representer-point EXamples) is a tool that uses a kernelized model to identify the influential training samples responsible for a given prediction from tree ensembles such as random forests (RF) or gradient boosted decision trees (GBDT).
- Install Python 3.7+
- Install dependencies and compile project.
- Run
make all
.
- Run