classify a instance(supervised learning)

[Nobody/Anonymous]

hi

i want to classify a instance of a dataset,the class of my instances is
categorical,how can with predict return a categorical?

but my program do not work true

please help me

    GMatrix* pData= GMatrix::loadArff("/home/t3/yousefian/dataset/darpa99/Extract-features/W4-2.arff"); // load some data
    //Holder hm(pM); // make sure it will be cleaned up later
    Holder<GMatrix> hData(pData);
    cout<<"pdata"<<"RowSize: "<<pData->rows()<<"ColSize: "<<pData->cols()<<endl;//return: pdataRowSize: 19158 ColSize: 20
    GMatrix* pFeatures = pData->cloneSub(0, 0, pData->rows(), pData->cols() - 1);
    cout<<"pFeatures"<<"RowSize: "<<pFeatures->rows()<<"ColSize: "<<pFeatures->cols()<<endl;//return: pFeaturesRowSize: 19158 ColSize: 19
        Holder<GMatrix> hFeatures(pFeatures);
        GMatrix* pLabels = pData->cloneSub(0, pData->cols() - 1, pData->rows(), 1);
        cout<<"pLables"<<"RowSize: "<<pLabels->rows()<<"ColSize: "<<pLabels->cols()<<endl;//return: pLablesRowSize: 19158 ColSize: 1
        Holder<GMatrix> hLabels(pLabels);


        GRand rand(0);
        GKNN modell(rand);
        modell.setNeighborCount(3);
        modell.train(*pFeatures, *pLabels);

        double pOut[1];

            modell.predict(pFeatures->row(37), pOut);

thanks

[Mike Gashler]

Your code looks right to me. Can you describe how your actual results differ
from your expected results?

[Nobody/Anonymous]

thanks for you attention

how can return lable of row(37)??

cout<< pOut dont worked!!