public float[] weight(Collection<String> features) {
float[] scores = new float[index.size()];
for (String feature : features) {
if (!data.containsKey(feature)) {
continue;
}
if (isAveraged || data.get(feature).used > opts.minupdate) {
data.get(feature).sumScoresForAllTransitions(scores);
}
}
return scores;
}
public Weights<T> average() {
System.err.print("averaging (this may take a while)... ");
Weights<T> result = new Weights<T>(opts, true);
result.data = new Object2ObjectOpenHashMap<>();
result.index = index;
result.gram = gram;
int cnt = 0;
for (String feat : data.keySet()) {
FeatureWeights dw = data.get(feat);
if (dw.used > opts.minupdate) {
cnt++;
FeatureWeights fw = new FeatureWeights();
for (int trans : index.indices()) {
float averaged = dw.getAveraged(trans, i);
if (!Float.isNaN(averaged)) {
fw.increment(trans, averaged, 0);
}
}
result.data.put(feat, fw);
}
}
System.err.println("done, averaged " + cnt + " features.");
return result;
}
