android - OpenCV Error: Bad argument in CvANN_MLP -

i'm using opencv4android , i'm trying make little example of neural network work out arithmetic mean. so, i've decided use cvann_mlp create network. goes when train it, fails next exception:

opencv error: bad argument (output training data should floating-point matrix number of rows equal number of training samples , number of columns equal size of last (output) layer) in cvann_mlp::prepare_to_train

i've checked output training , type cv_32fc1. number of rows , columns correct. don't know error is.

this code , hope can me. thanks!

        int train_sample_count = 10;          float td[][] = new float[10][3];                      //i've created method populate td         populatetrainingdata(td);          mat traindata = new mat(train_sample_count, 2, cvtype.cv_32fc1);         mat trainclasses = new mat(train_sample_count, 1, cvtype.cv_32fc1);         mat samplewts = new mat(train_sample_count, 1, cvtype.cv_32fc1);         mat neurallayers = new mat(3, 1, cvtype.cv_32sc1);          // input layer has 2 cells         neurallayers.put(0, 0, 2);         // hidden layer has 2 cells         neurallayers.put(1, 0, 2);         // output layer has 2 cells         neurallayers.put(2, 0, 2);          // assembles traindata,trainclasses , weights          (int = 0; < train_sample_count; i++) {             traindata.put(i, 0, td[i][0]);             traindata.put(i, 1, td[i][1]);             trainclasses.put(i, 0, td[i][2]);             samplewts.put(i, 0, 1);         }          log.d(debug_tag, "assemblage finished");          // creates neural network layers of neurallayers         cvann_mlp machinebrain = new cvann_mlp(neurallayers);          log.d(debug_tag, "neural network created");          // trains neural network data         // parameters neural network         cvann_mlp_trainparams trainparams = new cvann_mlp_trainparams();         // backward propagation         trainparams.set_train_method(cvann_mlp_trainparams.backprop);         // number of iterations , sigmoidal update         termcriteria termc = new termcriteria(termcriteria.eps                 + termcriteria.count, 10000, 1.0);         trainparams.set_term_crit(termc);          // optional value 0         mat simpleindex = new mat();         // setting neural network         log.d(debug_tag, "setting finished");         log.d(debug_tag, "type of trainclasses: "                 + (trainclasses.type() == cvtype.cv_32fc1));         machinebrain.train(traindata, trainclasses, samplewts);