void Validation::crossvalidation(vector< vector < pair <int, pair<int, int> > > >&y) // output, dobar, modifikovan
{
    int lenY = y.size();

    for (int k = 0; k < n; k++)
    {
        vector< vector < pair<int, int> > > test;
        test.clear();
        vector< vector < pair<int, int> > > training;
        training.clear();
        for (int i = 0; i < lenY; i++)
        {
            if (i % lenY == k)
            {
                vector< pair<int, int > > ret;
                ret.clear();
                int len = y[i].size();
                for (int l = 0; l < len; l++)
                {
                    pair<int, int> x; // output, tag
                    x.first = y[i][l].first;
                    x.second = y[i][l].second.first;
                    ret.push_back(x);
                }
                test.push_back(ret);
            }
            else
            {
                vector< pair<int, int > > ret;
                ret.clear();
                int len = y[i].size();
                for (int l = 0; l < len; l++)
                {
                    pair<int, int> x; // output, tag
                    x.first = y[i][l].first;
                    x.second = y[i][l].second.second;
                    ret.push_back(x);
                }
                training.push_back(ret);
            }
        }

        HMM *obj = new HMM();
        int iter = MAX_ITER;
        double tolerance = MAX_TOL;
        obj -> baumwelch(training, iter, tolerance);

        for (int i = 0; i < m; i++)
        {
            vector<int> x = obj -> viterbi(test[i]);

            int len = test[i].size();
            vector<int> testi;
            testi.clear();
            for (int l = 0; l < len; l++)
            {
                testi.push_back(test[m][l].first);
            }

            updateErrors(testi, x);
        }

        delete obj;
    }
}