Fit LS-SVR with RMSPE loss (deprecated)

Soft-deprecated wrapper retained for backwards compatibility. New code should use psvr(loss = "rmspe", ...). Returns the legacy psvr_rmspe object shape.

Usage

rmspe_lssvr(X, y, kernel, gamma, precondition = "auto")

Arguments

X, y: Training matrix and strictly-positive target vector.
kernel: Kernel closure from make_kernel().
gamma: Regularization parameter Γ > 0.
precondition: One of "auto", "always", "never", or a positive numeric threshold; controls Remark-17 symmetric rescaling.

Value

A list of class "psvr_rmspe".

Examples

if (FALSE) { # \dontrun{
fit <- psvr(X, y, loss = "rmspe", kernel = make_kernel("rbf"),
            gamma = 100)
} # }