com.expleague.ml.loss.LL Maven / Gradle / Ivy
package com.expleague.ml.loss;
import com.expleague.commons.math.vectors.Vec;
import com.expleague.commons.math.vectors.impl.vectors.ArrayVec;
import com.expleague.commons.seq.IntSeq;
import com.expleague.ml.BlockedTargetFunc;
import com.expleague.commons.math.FuncC1;
import com.expleague.ml.data.set.DataSet;
import com.expleague.ml.func.generic.Log;
import static java.lang.Math.log;
/**
* We use value representation = \frac{e^x}{e^x + 1}.
* User: solar
* Date: 21.12.2010
* Time: 22:37:55
*/
public class LL extends FuncC1.Stub implements BlockedTargetFunc {
protected final Vec target;
private final DataSet> owner;
public LL(final Vec target, final DataSet> owner) {
this.target = target;
this.owner = owner;
}
public LL(final IntSeq target, final DataSet> owner) {
this.target = new ArrayVec(target.length());
for (int i = 0; i < target.length(); i++) {
this.target.set(i, target.at(i));
}
this.owner = owner;
}
@Override
public Vec gradientTo(final Vec x, final Vec to) {
for (int i = 0; i < x.dim(); i++) {
final double pX = x.get(i);
if (target.get(i) > 0) // positive example
to.set(i, 1 / pX);
else // negative
to.set(i, -1/(1 - pX));
}
return to;
}
@Override
public int dim() {
return target.dim();
}
@Override
public double value(final Vec point) {
double result = 0;
for (int i = 0; i < point.dim(); i++) {
final double pX = point.get(i);
if (target.get(i) > 0) // positive example
result += log(pX);
else // negative
result += log(1 - pX);
}
return result;
}
public int label(final int idx) {
return (int)target.get(idx);
}
public Vec labels() {
return target;
}
@Override
public DataSet> owner() {
return owner;
}
@Override
public Log block(int index) {
return target.get(index) > 0 ? new Log(1., 0.) : new Log(-1., 1.);
}
@Override
public int blocksCount() {
return target.dim();
}
}