com.expleague.ml.data.cherry.CherryPick Maven / Gradle / Ivy
package com.expleague.ml.data.cherry;
import com.expleague.ml.BFGrid;
import com.expleague.ml.models.CNF;
import java.util.ArrayList;
import java.util.BitSet;
import java.util.List;
public class CherryPick {
public CNF.Clause fit(final CherryLoss loss) {
List features = new ArrayList<>(100);
final CherryPointsHolder subset = loss.subset();
double currentScore = Double.NEGATIVE_INFINITY;
loss.startClause();
final CherryBestHolder[] bestHolders = new CherryBestHolder[subset.grid().rows()];
while (true) {
for (int i = 0; i < bestHolders.length; ++i) {
bestHolders[i] = new CherryBestHolder();
}
subset.visitAll((feature, start, end, added, out) -> {
if (!feature.empty()) {
final double score = loss.score(feature, start, end, added, out);
bestHolders[feature.findex()].update(feature, score, start, end);
}
});
CherryBestHolder bestHolder = bestHolders[0];
for (int i = 0; i < bestHolders.length; ++i) {
if (bestHolder.getScore() < bestHolders[i].getScore()) {
bestHolder = bestHolders[i];
}
}
if (bestHolder.getScore() <= currentScore + 1e-9)
break;
features.add(bestHolder);
loss.addCondition(bestHolder.getValue(), bestHolder.startBin(), bestHolder.endBin());
currentScore = bestHolder.getScore();
}
loss.endClause();
return createClause(features);
}
private CNF.Clause createClause(List features) {
features.sort((first, second) -> {
int firstIndex = first.getValue().findex();
int secondIndex = second.getValue().findex();
if (firstIndex < secondIndex) {
return -1;
}
else if (firstIndex > secondIndex) {
return 1;
}
else {
return Integer.compare(first.startBin(), second.startBin());
}
});
List conditions = new ArrayList<>(features.size());
for (int i = 0; i < features.size(); ++i) {
int j = i + 1;
BFGrid.Row row = features.get(i).getValue();
int findex = row.findex();
while (j < features.size() && features.get(j).getValue().findex() == findex) {
++j;
}
BitSet used = new BitSet(row.size() + 1);
for (int k = i; k < j; ++k) {
final int startBin = features.get(k).startBin();
final int end = features.get(k).endBin() + 1;
used.set(startBin, end);
}
conditions.add(new CNF.Condition(row, used));
}
return new CNF.Clause(features.get(0).getValue().grid(), conditions.toArray(new CNF.Condition[conditions.size()]));
}
}