public static void biasvar(List <int> classes, List <List <int> > preds, int ntestexs, int ntrsets)
{
double loss = 0;
double bias = 0;
double var = 0;
double varp = 0;
double varn = 0;
double varc = 0;
BiasVariance.biasvar(classes, preds, ntestexs, ntrsets, ref loss, ref bias, ref var, ref varp, ref varn, ref varc);
}
public static void biasvar(List <int> classes, List <List <int> > preds, int ntestexs, int ntrsets, ref double loss, ref double bias, ref double var, ref double varp, ref double varn, ref double varc)
{
double lossx = 0;
double biasx = 0;
double varx = 0;
loss = 0.0;
bias = 0.0;
varp = 0.0;
varn = 0.0;
varc = 0.0;
for (int e = 0; e < ntestexs; e++)
{
BiasVariance.biasvarx(classes[e], preds[e], ntrsets, ref lossx, ref biasx, ref varx);
loss += lossx;
bias += biasx;
if (biasx != 0.0)
{
varn += varx;
varc += 1.0;
varc -= lossx;
}
else
{
varp += varx;
}
}
loss /= ntestexs;
bias /= ntestexs;
var = loss - bias;
varp /= ntestexs;
varn /= ntestexs;
varc /= ntestexs;
Trace.TraceInformation("");
Trace.TraceInformation("loss,bias,var,varp,varn,varc");
Trace.TraceInformation("{0},{1},{2},{3},{4},{5}", loss, bias, var, varp, varn, varc);
}