你好 elm分类输出真实数据然后对于接下来进行类别输出部分我不懂它是如何类别分类的

下面是进行类别输出
MatrixXd tempY=mScores;
//int size=tempY.size();
double *Y=new double[nsmp];
double *Max=new double[nsmp];
double max=0.0;
double *min=new double[nsmp];
for(int i=0;i {
min[i]=tempY(0,i);
}
for(int i=0;i {
max=min[i];
for(int j=0;j {
if(tempY(j,i)>max)
{
max=tempY(j,i);
}
}
Max[i]=max;
}
for(int i=0;i<tempY.cols();i++)
{
for(int j=0;j<tempY.rows();j++)
{
if(tempY(j,i)==Max[i])
{
tempY(j,i)=1;
}
else
{
tempY(j,i)=0;
}
}
}
cout<<"the sample is belong to ";
for(int i=0;i<tempY.cols();i++)
{
for(int j=0;j<tempY.rows();j++)
{
if(tempY(j,i)==1)
{
Y[i]=j+1;
cout<<Y[i]<<" ";
}
}
}
cout<<endl;
outY=Y;
return 0;
}

int compare( const void *a, const void *b )
{
const double *da = (const double *) a;
const double *db = (const double *) b;
return (*da > *db) - (*da < *db);
}

// builds 1-of-K target matrix from labels array
//template
MatrixXd buildTargetMatrix( double *Y, int nLabels ) {

// make a temporary copy of the labels array
double *tmpY = new double[ nLabels ];
for ( int i = 0 ; i < nLabels ; i++ ) {
    tmpY[i] = Y[i];
}

// sort the array of labels
qsort( tmpY, nLabels, sizeof(double), compare );

// count unique labels
int nunique = 1;
for ( int i = 0 ; i < nLabels - 1 ; i++ ) {
    if ( tmpY[i] != tmpY[i+1] )
        nunique++;
}

delete [] tmpY;

MatrixXd targets( nunique, nLabels );
targets.fill( 0 );


// fill in the ones
for ( int i = 0 ; i < nLabels ; i++ ) 
{
    int idx = Y[i]-1;
    targets( idx, i ) = 1;
}

// normalize the targets matrix values (-1/1)
//targets *= 2;
//targets.array() -= 1;

return targets;

}

#endif