Kumo Tabular predicts new table rows without training or feature engineering
NVIDIA’s open Kumo Tabular lets developers classify or regress on a labeled table in one forward pass, without training, tuning, or feature engineering. Give it labeled rows and the rows to predict, and it returns class probabilities or numeric predictions. The model comes in three sizes from 28M to 215M parameters, and NVIDIA says it ranks first on TabArena, BeyondArena, TALENT, and ScoringBench.