private static double iccUpdate(ItemSet itemSet, Set<ItemSet> itemSets, double bestItemScore) {
if (itemSet.ub() >= bestItemScore) {
itemSets.add(itemSet);
DataSet covered = data.matching(itemSet);
double itemSetValue = var(covered.getTuples().length, covered.y());
if (itemSetValue > bestItemScore) {
return itemSetValue;
}
}
return bestItemScore;
}
/**
* TODO Vermijden dubbel berekenen u en var => miss omschrijven classes TODO BitVector ipv BitSet
* TODO Score berekenen i.p.v. score TODO DataSet matching?
*/
public static void main(String[] args) {
/*Tuple[] tuples = new Tuple[]{
new Tuple("0 0 1 0 0", "1 3", ' '),
new Tuple("1 0 0 1 1", "1 2", ' '),
new Tuple("0 0 0 1 1", "1 1", ' '),
new Tuple("1 1 0 0 1", "2 1", ' '),
new Tuple("1 1 0 0 1", "3 1", ' '),
new Tuple("1 1 0 0 1", "3 2", ' '),
new Tuple("0 0 0 1 0", "3 3", ' '),
new Tuple("0 1 0 1 1", "2 3", ' ')
};
data = new DataSet(tuples);*/
// data = Parser.parseAttributes("Corel5k-train.arff", 374);
data = Parser.parseShortNotation("diabetes.txt", 1, new NumericalItemSet(new int[] {}));
s = data.s();
n = data.getTuples().length;
m = data.getTuples()[0].getClassValues().length;
/*double u = 0;
long l = 0;
for(int j = 0; j < 10; j++) {
double t = System.currentTimeMillis();
for(int i = 0; i < 10000; i++)
u = data.getBluePrint().getOneItemSet(2, 48).ub();
l += (System.currentTimeMillis() - t);
}
System.out.println(((double)l/10));*/
System.out.println(
"Data loaded, "
+ data.getTuples().length
+ " tuples, "
+ data.getTuples()[0].getItemSet().getLength()
+ " items, "
+ data.getTuples()[0].getClassValues().length
+ " class values");
StopWatch.tic("Full time");
System.out.println(icc());
StopWatch.printToc("Full time");
}
private static ItemSet icc() {
ItemSet bestItemSet = null;
int itemNumber = data.getTuples()[0].getItemSet().getLength();
double bestItemScore = 0.0;
Set<ItemSet> Q1 = new HashSet<ItemSet>();
Set<ItemSet> B1 = new HashSet<ItemSet>(Q1);
System.out.println("ICC init, with " + itemNumber + " items");
for (int j = 0; j < itemNumber; j++) {
ItemSet itemSet = getData().getBluePrint().getOneItemSet(j, itemNumber);
double newScore = iccUpdate(itemSet, Q1, bestItemScore);
if (newScore != bestItemScore) {
bestItemSet = itemSet;
bestItemScore = newScore;
}
}
System.out.println("ICC init finished");
Set<ItemSet> QVorige = new HashSet<ItemSet>();
QVorige.addAll(Q1);
Set<ItemSet> QVolgende = QVorige;
while (!QVolgende.isEmpty()) {
QVolgende = new HashSet<ItemSet>();
for (ItemSet B : Q1) {
for (ItemSet Q : QVorige) {
int lastSetBit = 0;
for (int i = Q.getBitSet().nextSetBit(0); i >= 0; i = Q.getBitSet().nextSetBit(i + 1))
lastSetBit = i;
if (lastSetBit < B.getBitSet().nextSetBit(0) && Q.ub() >= bestItemScore) {
if (B.ub() < bestItemScore) B1.remove(B);
else {
ItemSet itemSet = Q.union(B);
double newScore = iccUpdate(itemSet, QVolgende, bestItemScore);
if (newScore != bestItemScore) {
bestItemSet = itemSet;
bestItemScore = newScore;
}
}
}
}
}
QVorige = QVolgende;
}
return bestItemSet;
}
public static double var(double x, int[] y) {
if (x == n || x == 0) return 0.0;
double sum1 = 0.0;
double sum2 = 0.0;
double n = data.getTuples().length;
for (int i = 0; i < y.length; i++) {
double s_i_over_n = s[i] * n;
double h1 = ((double) y[i] / x) - s_i_over_n;
sum1 += h1 * h1;
double h2 = (((double) s[i] - (double) y[i]) / (n - x)) - s_i_over_n;
sum2 += h2 * h2;
}
return x * sum1 + (n - x) * sum2;
}
