/**
* Function to create a new classification with the given dataset.
*
* @param source The dataset.
* @param model The model selected to make the classification.
* @throws Exception If cannot build the classification.
*/
public Classification(Dataset source, Cut model) throws Exception {
int index;
Itemset itemset;
double[] weights;
perClassPerValue = new double[model.numSubsets()][0];
perValue = new double[model.numSubsets()];
total = 0;
perClass = new double[source.numClasses()];
for (int i = 0; i < model.numSubsets(); i++) {
perClassPerValue[i] = new double[source.numClasses()];
}
Enumeration enum2 = source.enumerateItemsets();
while (enum2.hasMoreElements()) {
itemset = (Itemset) enum2.nextElement();
index = model.whichSubset(itemset);
if (index != -1) {
add(index, itemset);
} else {
weights = model.weights(itemset);
addWeights(itemset, weights);
}
}
}
