#define E_OUT plhs[1]
double *E;
double error[training_epochs];
double err;
int size_err1 = mxGetM(IN_training_epochs);
int size_err2 = mxGetN(IN_training_epochs);
Dim1 = mxGetScalar(IN_training_epochs);
Dim2 = 1;
mexPrintf("Erro_Rows_numb = %d.\n", Dim1);
mexPrintf("Error_Collums_numb = %d.\n", Dim2);
E_OUT = mxCreateDoubleMatrix(Dim1, Dim2, mxREAL);
E = mxGetPr(E_OUT); // getting the value of data to which E_OUT points at
for(int epoch=0; epoch<training_epochs; epoch++)
{
err = 0;
for(int i=0; i<sizeTrain_X2; i++)
{
rbm.contrastive_divergence(&train_X[sizeTrain_X2*i], learning_rate, k);
rbm.reconstruct(&train_X[sizeTrain_X1*i], reconstructed_X[i]);
for (int j=0; j< n_visible; j++)
{
err += pow(train_X[n_hidden*i+j] - reconstructed_X[i][j],2);
}
}
error[epoch] = err;
}
From the above code i have been computing the reconstructed error from my RBM input matrix, and i need to retrieve it in matlab using mexFunction. but still struggling with how to point the stored data in my variable error to plhs[1].
Looks like two things you're missing are:
plhs[0] = mxCreateDoubleMatrix(Dim1, Dim2, mxREAL);
Arrays in c are 0 indexed so it should be plhs[0] for the first item returned. To copy in the data from your error:
memcpy(mxGetPr(plhs[0]), error, Dim1*sizeof(double));