synthefy-nori

General tabular regression with Nori, the Synthefy tabular foundation model — sklearn-style in-context fit/predict with zero training, native prediction intervals (quantiles / full predictive distribution), honest baseline comparison under a fixed CV protocol, and SHAP / PDP / feature-selection interpretability — plus leak-safe one-step time-series forecasting via lag features and a rolling-origin backtest. Use when predicting a continuous target from tabular features, when you need uncertainty bands without extra machinery, when forecasting a single series one step ahead, or when the dataset is too small to train a model on.