OpenCV表示trainAuto（）函数训练具有最佳参数的SVM。 每次我使用trainAuto（）进行训练时，获得的参数都是相同的。据此，例如，如果我更改kFold的值，则应更改参数的值。
我试图更改kFold的值，但在参数中我仍然得到相同的值。
我正在使用的代码如下：
SVM svm = SVM.create();
svm.setType(SVM.C_SVC);
svm.setKernel(SVM.SIGMOID);
ParamGrid cgrid = ParamGrid.create();
ParamGrid gammaGrid = ParamGrid.create();
ParamGrid pGrid = ParamGrid.create();
ParamGrid nuGrid = ParamGrid.create();
ParamGrid coeffGrid = ParamGrid.create();
ParamGrid degreeGrid = ParamGrid.create();
int kFold = 10;
svm.trainAuto(train, Ml.ROW_SAMPLE, labels, kFold, cgrid, gammaGrid,
pGrid, nuGrid, coeffGrid, degreeGrid, false);
double C = svm.getC();
double gamma = svm.getGamma();
double P = svm.getP();
double Nu = svm.getNu();
double Coef0 = svm.getCoef0();
double Degree = svm.getDegree();
System.out.println("C: " +C);
System.out.println("Gamma: " +gamma);
System.out.println("P: " +P);
System.out.println("Nu: " +Nu);
System.out.println("Coeff: " +Coef0);
System.out.println("Degree: " +Degree);
我总是得到的结果如下：
C: 1.0
Gamma: 1.0
P: 0.0
Nu: 0.0
Coeff: 0.0
Degree: 0.0
我在做什么错了？