/* 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(); } }