// The model does need the correction constant and the correction feature. The correction constant
// is only needed during training, and the correction feature is not necessary.
// For compatibility reasons the model contains form now on a correction constant of 1,
// and a correction param 0.
evalParams = new EvalParameters(params,0,1,numOutcomes);
int[] activeOutcomes = new int[numOutcomes];
int[] outcomePattern;
int[] allOutcomesPattern= new int[numOutcomes];
for (int oi = 0; oi < numOutcomes; oi++) {
allOutcomesPattern[oi] = oi;