/* Copyright (C) 2002 Univ. of Massachusetts Amherst, Computer Science Dept.
This file is part of "MALLET" (MAchine Learning for LanguagE Toolkit).
http://www.cs.umass.edu/~mccallum/mallet
This software is provided under the terms of the Common Public License,
version 1.0, as published by http://www.opensource.org. For further
information, see the file `LICENSE' included with this distribution. */
/**
@author Aron Culotta <a href="mailto:culotta@cs.umass.edu">culotta@cs.umass.edu</a>
*/
package cc.mallet.fst.confidence;
import java.util.*;
import cc.mallet.fst.*;
import cc.mallet.types.*;
/** Randomly assigns values between 0-1 to the confidence of a {@link
* Segment}. Used as baseline to compare with other methods.
*/
public class RandomConfidenceEstimator extends TransducerConfidenceEstimator
{
java.util.Random generator;
public RandomConfidenceEstimator (int seed, Transducer model) {
super(model);
generator = new Random (seed);
}
public RandomConfidenceEstimator (Transducer model) {
this (1, model);
}
/**
Randomly generate the confidence in the tagging of a {@link Segment}.
*/
public double estimateConfidenceFor (Segment segment, SumLatticeDefault cachedLattice) {
return generator.nextDouble();
}
}