Summarize a fitted symmetric LS-SVR with RMSPE loss

As summary.psvr_rmspe(), with the symmetry parameter \(a\) reported.

Usage

# S3 method for class 'psvr_rmspe_sym'
summary(object, ...)

Arguments

object

An object of class "psvr_rmspe_sym", from psvr_rmspe() with sym_type = "even" or "odd".

...

Ignored.

Value

object, invisibly. Called for the printed summary.

See also

print.psvr_rmspe_sym(), coef.psvr_rmspe_sym()

Examples

set.seed(1)
X <- matrix(rnorm(40), 20, 2)
y <- rlnorm(20)
fit <- psvr_rmspe(X, y, sym_type = "even",
                  kernel = make_kernel("rbf", sigma = 1), gamma = 100)
summary(fit)
#> 
#> LS-SVR with RMSPE loss  [psvr_rmspe_sym]
#> 
#>   Kernel:          RBF (sigma = 1)
#>   Training obs.:   20
#>   Predictors:      2
#>   Symmetry:        even  (a = 1)
#> 
#>   Hyperparameters:
#>     Gamma  = 100
#> 
#>   Preconditioner:  applied (diag(1/y) symmetric rescaling)
#>