@Override
public Sample getSample(Sample s, int index) {
if (s == null) {
s = new Sample();
}
s.input = asTensor(data.charAt(index), s.input);
s.target = asTensor(data.charAt(index + 1), s.target);
return s;
}
@Override
protected void adaptSample(Sample original, Sample adapted) {
adapted.input = original.input.copyInto(adapted.input);
if (adapted.target == null) {
adapted.target = new Tensor(labels.length);
}
adapted.target.fill(0.0f);
for (int i = 0; i < labelIndices.length; i++) {
adapted.target.set(original.target.get(labelIndices[i]), i);
}
if (other) {
if (TensorOps.sum(adapted.target) == 0) {
adapted.target.set(1.0f, labels.length - 1);
}
}
}
