func NewSVR() *SVR {
	m := &SVR{
		BaseLibSVM: BaseLibSVM{C: 1., Epsilon: 0.1, Kernel: "rbf", Degree: 3., Gamma: 0., Coef0: 0., Shrinking: true, Tol: 1e-3, CacheSize: 200},
	}
	return m
}
NewSVR ...
Kernel: "linear","poly","rbf","sigmoid" default is "rbf"
if Gamma<=0 il will be changed to 1/NFeatures
Cachesize is in MB. defaults to 200
package svm
import (
	"math"
	"golang.org/x/exp/rand"
	"github.com/pa-m/sklearn/base"
	"github.com/pa-m/sklearn/metrics"
	"gonum.org/v1/gonum/mat"
)
type SVR struct {
	BaseLibSVM
	ClassWeight []float64
	nOutputs    int
}