ModelExplainable Boosting Machine
EBM
An efficient implementation of GA²M that uses boosted trees to learn shape functions and converts them into lookup tables for fast inference. Because the learned shape functions are derived from tree ensembles, they may contain high-frequency fluctuations and isolated regions, which can complicate interpretation of the resulting plots.
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Nov 5
EBM (Explainable Boosting Machine) is an efficient implementation of GA²M that uses boosted trees to learn shape functions and then converts them into lookup tables.
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