public UnivariatFrequency(
Set<? extends Attributable> refElements,
Set<? extends Attributable> simElements,
String attrKey,
Discretizer discretizer) {
this.discretizer = discretizer;
this.attrKey = attrKey;
refFreq = initHistogram(refElements, attrKey);
simFreq = initHistogram(simElements, attrKey);
scaleFactor = simElements.size() / (double) refElements.size();
normFactor = 1; // simElements.size();
int size = Math.max(simFreq.size(), refFreq.size());
for (int i = 0; i < size; i++) {
double simVal = simFreq.get(i);
double refVal = refFreq.get(i) * scaleFactor;
// hamiltonianValue += (Math.abs(simVal - refVal)/ refVal)/normFactor;
hamiltonianValue += calculateError(simVal, refVal) / normFactor;
}
}
public MultivariatMean(
Set<? extends Person> refPersons,
Set<CachedPerson> simPersons,
String xAttrKey,
String yAttrKey,
Discretizer xDataDiscr) {
this.xDataKey = Converters.getObjectKey(xAttrKey);
this.yDataKey = Converters.getObjectKey(yAttrKey);
this.xDataDiscr = xDataDiscr;
initReferenceValues(refPersons, xAttrKey, yAttrKey);
initSimulationValues(simPersons, xAttrKey, yAttrKey);
// Calculate the initial hamiltonian value.
hamiltonianValue = 0;
int size = Math.max(referenceValues.size(), bucketCounts.size());
for (int i = 0; i < size; i++) {
hamiltonianValue += calculateDiff(i);
}
}