Nonparametric

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Nonparametric models make few functional-form assumptions and let the data shape the fit.

Pass any model string below as Arm(model=...). Extra names an optional dependency, Scaling flags whether predictors should be standardized, and Tunable counts the hyperparameters the search space exposes.

Model string	Description	Input	Extra	Scaling	Recommended preprocessing	Tunable
kernel_ridge	Kernel ridge regression.	supervised	none	yes	standardize predictors before nonlinear kernels	2
knn	K-nearest-neighbor regression.	supervised	none	yes	standardize predictors before distance-based fitting	2

Reference

• Models reference page for ModelSpec, ModelFit, and fit conventions.