ANN_MLP with OpenCV

#include <opencv2/highgui.hpp>
#include <opencv2/ml.hpp>

using namespace cv;
using namespace cv::ml;
using namespace std;

int main( int argc, char** argv ){
    Mat matTrainFeatures(100,1,CV_32F);
    randu(matTrainFeatures,0,100);

    Mat matTrainLabels(100,1,CV_32F);
    randu(matTrainLabels,0,100);

    Mat matSample(4,1,CV_32F);
    //randu(matSample,0,100);
    matSample.at<float>(0,0) = matTrainFeatures.at<float>(0,0);
    matSample.at<float>(1,0) = matTrainFeatures.at<float>(1,0);
    matSample.at<float>(2,0) = matTrainFeatures.at<float>(2,0);
    matSample.at<float>(3,0) = matTrainFeatures.at<float>(3,0);

    Mat matSampleLabels(1,1,CV_32F);

    Mat matResults(4,1,CV_32F);
    //Mat matResults(5,1,CV_32F);

    Ptr<TrainData> trainingData;
    trainingData=TrainData::create(matTrainFeatures,ROW_SAMPLE,matTrainLabels);

    Ptr<ANN_MLP> lr = ANN_MLP::create();
    Mat layers(3,1,CV_32FC1);
    layers.row(0) = 1;
    layers.row(1) = 100;
    layers.row(2) = 1;
    lr->setBackpropMomentumScale(0.05f);
    lr->setLayerSizes(layers);
    lr->setBackpropWeightScale(0.05f);
    lr->setActivationFunction(ANN_MLP::SIGMOID_SYM, 1, 1);
    lr->setTrainMethod(ANN_MLP::BACKPROP, 0.001);
    lr->setTermCriteria(TermCriteria(TermCriteria::MAX_ITER+TermCriteria::EPS, 300, FLT_EPSILON));

    //lr->train(trainingData);
    for(int j = 0; j < 12; j++){
        for(int i = 0; i < matTrainFeatures.rows; i++){
            lr->train(matTrainFeatures.row(i),ROW_SAMPLE,matTrainLabels.row(i));
        }
    }
    lr->predict(matSample,matResults);

    //Just checking the settings
    cout<<"Training data: "<<endl
        <<"getNSample\t"<<trainingData->getNSamples()<<endl
        <<"getSamples\n"<<trainingData->getSamples()<<endl
        <<"getResponses\n"<<trainingData->getTrainResponses()<<endl
        <<endl;

    //confirming sample order
    cout<<"matSample: "<<endl
        <<matSample<<endl
        <<endl;

    //displaying the results
    cout<<"matResults: "<<endl
        <<matResults<<endl
        <<endl;

    return 0;
}