#include <cv.h>

#include <ml.h>

using namespace cv;

int main(int argc, char **argv) {

        int sampleCountForTesting = 2731; //BROKEN: Breaks for values of 2731 or greater!

        Mat trainingData( sampleCountForTesting, 1, CV_32FC1, Scalar::all(0.0) );

        Mat trainingResponses( sampleCountForTesting, 1, CV_32FC1, Scalar::all(0.0) );

        for(int j = 0; j < 6; j++) {

                trainingData.at<float>( j, 0 ) = (float) (j%2);

                trainingResponses.at<float>( j, 0 ) = (float) (j%2);

        } //Setting some values to avoid getting "single class" error during cross-validation step

        CvSVMParams svmParams( 100, //100 is CvSVM::C_SVC,

                                                  2, //2 is CvSVM::RBF,

                                                  1.0, 1.0, 1.0, 1.0, 1.0, 1.0,

                                                  NULL,

                                                  TermCriteria( TermCriteria::MAX_ITER | TermCriteria::EPS, 2, 1.0 ) );

        CvSVM svm = CvSVM();

        svm.train_auto( trainingData, trainingResponses, Mat(), Mat(), svmParams );

        return 0;

}