Support vector

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Support vector regression fits a margin-based predictor and can use nonlinear kernels for flexible but controlled fits.

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
linear_svr	Linear support-vector regression.	supervised	none	yes	standardize predictors before fitting	2
nu_svr	Nu support-vector regression.	supervised	none	yes	standardize predictors before fitting	3
svr	Kernel support-vector regression.	supervised	none	yes	standardize predictors before fitting	3

Reference

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