void DecisionStrategy::Init(){
_decisionWeights = new Vector<Vector<FeatureWeight>*>();
for (int d = 0; d < NUM_DECISIONS; d++){
_decisionWeights->PushEnd(new Vector<FeatureWeight>());
// only add pertinent features
Vector<Feature>* pertinentFeatures = getPertinentFeatures(static_cast<Decisions>(d));
for (UINT f = 0; f < pertinentFeatures->Length(); f++) {
Feature feature = pertinentFeatures->at(f);
FeatureWeight fw(feature, initGauss(gen));
_decisionWeights->at(d)->PushEnd(fw);
}
}
}
void PixelModel::initModel(){
//TODO fix so we initialize with some data
double pixelValues[NUM_CHANNELS] = {50,50,50};
double sigma[NUM_CHANNELS] = {30,30,30};
for(int r=0; r < rows; r++){
for(int c=0; c < cols; c++){
for(int k=0; k < NUM_DISTRIBUTIONS; k++){
initGauss(getPixelGauss(r,c,k),sigma,pixelValues,1.0/NUM_DISTRIBUTIONS);
for(int i=0; i < NUM_CHANNELS; i++){
pixelValues[i] = 50 * k + 50;
}
}
}
}
}
